From 8b4463d69761f111da828cff6db8f4c08e0a95ad Mon Sep 17 00:00:00 2001
From: Teleo Agents <agents@livingip.xyz>
Date: Tue, 7 Apr 2026 00:44:26 +0000
Subject: [PATCH] fix: normalize YAML list indentation across 241 claim files

Previous reweave runs used 2-space indent + quotes for list entries
while the standard format is 0-space indent without quotes. This caused
YAML parse failures during merge. Bulk-fixed all reweave_edges files.

Pentagon-Agent: Ship <D53BE6DB-B498-4B30-B588-75D1F6D2124A>
---
 ...speculation penalize genuine supporters.md | 10 ++++----
 ...t and internet finance attractor states.md | 16 ++++++-------
 ...an bind where unilateral pledges cannot.md |  4 ++--
 ...le framing for iterative AI development.md |  4 ++--
 ...s that the originating agent cannot see.md |  4 ++--
 ... until a crisis forces public reckoning.md |  8 +++----
 ...re it becomes visible in output quality.md |  4 ++--
 ... cannot see from within their territory.md |  4 ++--
 ...action synthesis and routine evaluation.md |  4 ++--
 ...edly route questions they cannot answer.md |  4 ++--
 ...from evidence to conclusion traversable.md |  4 ++--
 ... feedback loops not independent threats.md |  8 +++----
 ...evolve linearly creating a widening gap.md |  4 ++--
 ...system rather than specified in advance.md |  4 ++--
 .../areal-futardio-fundraise.md               |  8 +++----
 .../launchpet-futardio-fundraise.md           |  4 ++--
 ...etadao-develop-amm-program-for-futarchy.md |  8 +++----
 ...e primary determinant of system success.md |  8 +++----
 ... rather than a single monolithic system.md |  4 ++--
 ...s the only thing preventing convergence.md | 10 ++++----
 ... contributes coordination not direction.md |  8 +++----
 ...rategies that require mutual legibility.md |  4 ++--
 ... researcher to agent workflow architect.md | 12 +++++-----
 ...ination problem not a technical problem.md | 20 ++++++++--------
 ...ogram execution during the same session.md |  8 +++----
 ...nce creates a window for transformation.md |  4 ++--
 ...y to notice what matters remains scarce.md | 10 ++++----
 ...ive dynamics of frontier AI development.md | 20 ++++++++--------
 ...ty rather than confirm existing beliefs.md |  4 ++--
 ...s-to-preserve-data-sovereignty-at-scale.md |  4 ++--
 ...t-fail-when-used-by-investigator-agents.md | 16 ++++++-------
 ...gent-gap-not-just-technical-limitations.md | 24 +++++++++----------
 ...ough-tool-to-agent-gap-not-tool-quality.md | 12 +++++-----
 ...or is instrumentally optimal while weak.md |  8 +++----
 ... until a crisis forces public reckoning.md |  4 ++--
 ...he critical input to autonomous systems.md |  8 +++----
 ...cades-long alternatives remain possible.md |  4 ++--
 ...odel-size-and-behavioral-predictability.md |  4 ++--
 ... systems regardless of agent capability.md |  8 +++----
 ...ould indicate the anchor needs updating.md | 10 ++++----
 ...zes uncertainty at domain intersections.md |  4 ++--
 ...ifferent from developer-specified rules.md |  4 ++--
 ...ng capability development unconstrained.md |  8 +++----
 ...ersight create single points of failure.md | 14 +++++------
 ...with human coaching on the same problem.md |  4 ++--
 ...e-legislative-windows-for-ai-governance.md | 24 +++++++++----------
 ...-create-statutory-ai-regulation-pathway.md |  8 +++----
 ...tical-salience-not-statutory-safety-law.md | 12 +++++-----
 ...e-legislative-pathway-for-ai-regulation.md |  4 ++--
 ...025-frontier-models-in-controlled-tests.md |  4 ++--
 ...better representing diverse populations.md |  4 ++--
 ...overfitting and a proof cannot be gamed.md |  4 ++--
 ...ility while human verification degrades.md |  4 ++--
 ...ty leaving only coordination as defense.md |  8 +++----
 ...omplexity-and-reasoning-length-increase.md |  4 ++--
 ...vioral-testing-fundamentally-unreliable.md |  4 ++--
 ... constraints rather than enforcing them.md | 12 +++++-----
 ...entives-by-blacklisting-cautious-actors.md |  8 +++----
 ...ken state determines what agents can do.md | 12 +++++-----
 ...cases that flip under changed structure.md |  8 +++----
 ...eparable from low-level execution hooks.md | 10 ++++----
 ...ry between group and individual effects.md | 18 +++++++-------
 ...ral-governance-chokepoint-at-conference.md |  4 ++--
 ...ogenizer under high-exposure conditions.md |  8 +++----
 ...nderwrite responsibility remains finite.md |  4 ++--
 ...cognition-inverting-safety-improvements.md |  8 +++----
 ...ization-in-multi-agent-active-inference.md |  4 ++--
 ...rformance-on-sophisticated-misalignment.md | 12 +++++-----
 ...nnot-create-positive-safety-obligations.md |  4 ++--
 ...tional-grounds-not-statutory-safety-law.md |  4 ++--
 ...t embedding similarity cannot replicate.md | 16 ++++++-------
 ...inimum-utility-across-preference-groups.md |  4 ++--
 ...safety-critical-tasks-at-frontier-scale.md |  4 ++--
 ...s-but-cannot-detect-deceptive-alignment.md |  4 ++--
 ...babilistic to deterministic enforcement.md |  8 +++----
 ...spite-formal-authorization-requirements.md |  4 ++--
 ...ing-single-reward-leaves-value-on-table.md |  8 +++----
 ...raphic labels or explicit user modeling.md |  8 +++----
 ...ion overhead fragments linear workflows.md |  8 +++----
 ...y in realistic multi-party environments.md |  4 ++--
 ...structurally intolerable to governments.md |  4 ++--
 ...-trust-properties-to-achieve-legitimacy.md |  4 ++--
 ...way-for-statutory-ai-safety-constraints.md | 16 ++++++-------
 ...ent-success-at-moderate-capability-gaps.md |  4 ++--
 ... converging on problems that require it.md | 12 +++++-----
 ...that survive working memory degradation.md | 10 ++++----
 ... the agent could not perform without it.md | 22 ++++++++---------
 .../persistent irreducible disagreement.md    |  4 ++--
 ... capability research advances in months.md | 18 +++++++-------
 ...an converging on a single aligned state.md | 16 ++++++-------
 ...hing-or-exceeding-safety-focused-models.md |  4 ++--
 ...ystem that improves is itself improving.md |  8 +++----
 ...e-function-before-reward-model-training.md |  8 +++----
 ...bling-aggregation-across-diverse-groups.md |  4 ++--
 ...ocial-choice-without-normative-scrutiny.md | 16 ++++++-------
 ...interpretability-for-alignment-auditing.md | 12 +++++-----
 ...t-performance-in-highest-stakes-domains.md |  4 ++--
 ...roportional-to-minority-distinctiveness.md | 16 ++++++-------
 ...ems must map rather than eliminate them.md |  4 ++--
 ...y agent controlling specialized helpers.md |  4 ++--
 ...quirement-not-just-a-privacy-preference.md |  4 ++--
 ...instructions degrade under context load.md |  8 +++----
 ... adoption creates more chaos than value.md |  4 ++--
 ...raw throughput where NVIDIA monopolizes.md | 14 +++++------
 ... problems invisible to the other scales.md | 10 ++++----
 ...spite superhuman cognitive capabilities.md |  8 +++----
 ...-framework-but-lacks-bipartisan-support.md | 20 ++++++++--------
 ...ework-through-slotkin-ai-guardrails-act.md | 12 +++++-----
 ...facts but zero psychological continuity.md |  6 ++---
 ...g patterns from identical model weights.md | 12 +++++-----
 ... advance without equivalent constraints.md |  8 +++----
 ...rtisan-support-which-slotkin-bill-lacks.md | 12 +++++-----
 ...ements-of-intent-not-binding-governance.md | 12 +++++-----
 ...ting-anti-correlation-with-threat-model.md | 16 ++++++-------
 ...cted edges carry up to 40 percent noise.md |  6 ++---
 ...tures-enable-decentralized-coordination.md |  4 ++--
 ...write-collective-goal-directed-behavior.md |  4 ++--
 ...dy projected to fall 6 GW short by 2027.md |  4 ++--
 ...er acceptance not technology capability.md |  4 ++--
 ...syntheticization or progressive control.md |  4 ++--
 ...he studio system leave few alternatives.md |  4 ++--
 ...s-loss-leader-model-at-enterprise-scale.md |  4 ++--
 ...ible-integration-as-specific-mechanisms.md |  8 +++----
 ...thenticity-signal-becomes-more-valuable.md |  8 +++----
 ...-rejection-than-functional-applications.md |  4 ++--
 ...exposure-leads-to-acceptance-hypothesis.md |  4 ++--
 ...every marginal hour shifts between them.md | 16 ++++++-------
 ...th-shared-formats-audiences-and-revenue.md |  8 +++----
 ...s-do-not-predict-brand-influence-or-roi.md |  4 ++--
 ...ion-and-owned-platform-for-monetization.md |  8 +++----
 ...-recognize-participate-in-and-return-to.md |  4 ++--
 ...by-2025-surpassing-traditional-channels.md |  8 +++----
 ...on-more-effectively-than-static-formats.md |  8 +++----
 ...ators-control-sufficient-audience-scale.md |  4 ++--
 ...m-equivalent-social-platform-ad-revenue.md |  8 +++----
 ...ns through co-creation and co-ownership.md |  4 ++--
 ...hange and ease of incumbent replication.md |  4 ++--
 ...he-AI-publishes-and-the-human-amplifies.md |  4 ++--
 ...ively-than-AI-quality-improvement-alone.md |  4 ++--
 ...tural-patterns-across-content-verticals.md |  4 ++--
 ...s-reference-documents-not-entertainment.md |  4 ++--
 ...cape valve for displaced creative labor.md | 12 +++++-----
 ...ll first and creation moats fall second.md |  4 ++--
 ...nce demand before production investment.md | 16 ++++++-------
 ...g-control-and-stimulate-streaming-rebuy.md |  4 ++--
 ... up to half of average revenue per user.md |  4 ++--
 ...tribution-through-reciprocal-engagement.md |  4 ++--
 ...bets because power law returns dominate.md |  8 +++----
 ...ments of fandom community and ownership.md |  4 ++--
 ...nity engagement data as risk mitigation.md | 12 +++++-----
 ...nt-where-obscured-AI-involvement-cannot.md |  8 +++----
 ...ribution-channels-from-a-single-product.md |  4 ++--
 ...eaty-path-for-medium-utility-categories.md |  4 ++--
 ...gic-actors-opt-out-at-non-binding-stage.md |  8 +++----
 ...uires-three-currently-absent-conditions.md |  4 ++--
 ...rate that determines industry economics.md |  4 ++--
 ... voluminous for direct clinician review.md |  4 ++--
 ...e is immediate unambiguous and low-risk.md |  4 ++--
 ...constraint between headcount and output.md |  4 ++--
 ... economic restructuring since the 1980s.md |  4 ++--
 ...n the famines specialization eliminated.md |  4 ++--
 ... upcoded diagnoses from MA risk scoring.md |  4 ++--
 ...tical integration during CMS tightening.md |  4 ++--
 ...iability-exposure-outside-fda-oversight.md |  4 ++--
 ...pping-litigation-for-consent-violations.md |  4 ++--
 ...-signaling-care-infrastructure-collapse.md |  4 ++--
 ... bypasses traditional payer gatekeeping.md |  4 ++--
 ...od-insecurity-on-working-age-population.md |  4 ++--
 ...t-visibility-does-not-prevent-deference.md |  4 ++--
 ...erty-low-education-inadequate-insurance.md |  4 ++--
 ...ral-food-environment-support-is-removed.md |  4 ++--
 ...orality-for-sdoh-cardiovascular-pathway.md |  4 ++--
 ... to hundreds of thousands per treatment.md |  4 ++--
 ... care induces more demand for sick care.md | 14 +++++------
 ...ercent of deals are flat or down rounds.md |  4 ++--
 ...t govern continuously learning software.md | 12 +++++-----
 ...-remote-monitoring-and-post-acute-shift.md |  4 ++--
 ...e-insurance-is-viable-at-national-scale.md |  4 ++--
 ...ion-from-supplement-to-dominant-program.md |  4 ++--
 ...x-policy-demonstrating-fiscal-fragility.md |  4 ++--
 ...e psychosocial foundations of wellbeing.md |  4 ++--
 ...ilability-is-not-the-binding-constraint.md | 12 +++++-----
 ...-accumulation-not-after-safety-evidence.md |  8 +++----
 ...s-continuous-data-into-clinical-utility.md |  4 ++--
 ...ady-served rather than expanding access.md |  4 ++--
 ...alth-economy-invisible-to-policy-models.md |  8 +++----
 ...ructural-problem-in-american-healthcare.md |  4 ++--
 ...l-across-networks-and-compute-pipelines.md |  8 +++----
 ...nation-through-local-congestion-signals.md |  8 +++----
 ...compute-coordination-without-prediction.md |  8 +++----
 ...ng-it-simpler-than-ml-based-autoscaling.md |  8 +++----
 ...quidity-creating-self-reinforcing-depth.md |  4 ++--
 ...minating-orderbook-storage-requirements.md |  4 ++--
 ...ear-zero-by-replacing-clob-market-pairs.md |  4 ++--
 ...abling-permissionless-on-chain-matching.md |  4 ++--
 ...aggregating-yield-across-project-tokens.md |  4 ++--
 ...-equity-and-large-financial-instruments.md |  4 ++--
 ...rs over 100 million dollars on Ethereum.md |  8 +++----
 ...gh-capital-commitment-not-vote-counting.md |  4 ++--
 ... mechanism best suited to its objective.md |  8 +++----
 ...incentivized-circles-versus-local-teams.md |  4 ++--
 ...der-revenue-share-replacing-local-teams.md |  4 ++--
 ...ry optimized for one degrades the other.md |  4 ++--
 ... gates all leading-edge chip production.md |  8 +++----
 ...ut regardless of chip design capability.md | 14 +++++------
 ...ity in global technology infrastructure.md | 10 ++++----
 ...irreversible geographic path dependence.md | 12 +++++-----
 ...an launch in the emerging space economy.md |  4 ++--
 ...ised and monthly launch cadence by 2026.md | 14 +++++------
 ...s fell 30x and real customers now exist.md |  6 ++---
 ...-at-projected-1M-per-ton-delivery-costs.md |  4 ++--
 ...tics pharmaceuticals and semiconductors.md |  6 ++---
 ... and thermal bottlenecks simultaneously.md |  8 +++----
 ...g debris or requiring expensive deorbit.md |  8 +++----
 ...n risk is externalized to all operators.md |  8 +++----
 ...e-sequence-rideshare-dedicated-starship.md |  4 ++--
 ...ercent using rotating momentum exchange.md |  4 ++--
 ... institutional design advances linearly.md |  8 +++----
 ...nal law without international agreement.md |  4 ++--
 ...ement governance deliberately ambiguous.md |  4 ++--
 ...nables missions that demand more mining.md |  8 +++----
 ...bal industry not a speculative frontier.md |  4 ++--
 ...the next tier of orbital infrastructure.md |  6 ++---
 entities/ai-alignment/anthropic.md            |  8 +++----
 entities/ai-alignment/google-deepmind.md      |  8 +++----
 entities/ai-alignment/openai.md               | 24 +++++++++----------
 entities/ai-alignment/xai.md                  |  8 +++----
 entities/internet-finance/areal.md            | 16 ++++++-------
 entities/internet-finance/futardio.md         |  4 ++--
 ...erthymesia overwhelms biological memory.md | 16 ++++++-------
 ...firmation is rewarded alongside novelty.md |  4 ++--
 ...ral precondition not a moral preference.md |  4 ++--
 ...s when trust and enforcement are absent.md |  4 ++--
 ...etry makes perfect contracts impossible.md |  8 +++----
 ...o trust curated content unconditionally.md | 12 +++++-----
 ...bility and rational competitors skip it.md |  8 +++----
 ...t through nested statistical boundaries.md |  4 ++--
 ... their states and resist entropic decay.md |  4 ++--
 ...ocal failures into cascading breakdowns.md |  4 ++--
 ...rom benefits regardless of contribution.md |  4 ++--
 ...t simple viral spread through weak ties.md |  4 ++--
 241 files changed, 867 insertions(+), 867 deletions(-)

diff --git a/core/grand-strategy/early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters.md b/core/grand-strategy/early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters.md
index da426587..672f8ad1 100644
--- a/core/grand-strategy/early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters.md	
+++ b/core/grand-strategy/early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters.md	
@@ -7,13 +7,13 @@ confidence: experimental
 source: "Synthesis by Leo from: Rio's Doppler claim (PR #31, dutch-auction bonding curves); Clay's fanchise management (Shapiro, PR #8); community ownership claims. Enriched by Rio (PR #35) with auction theory grounding: Vickrey (1961), Myerson (1981), Milgrom & Weber (1982)"
 created: 2026-03-07
 depends_on:
-  - "dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum"
-  - "fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership"
-  - "community ownership accelerates growth through aligned evangelism not passive holding"
+- dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum
+- fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership
+- community ownership accelerates growth through aligned evangelism not passive holding
 supports:
-  - "access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators"
+- access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators
 reweave_edges:
-  - "access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators|supports|2026-04-04"
+- access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators|supports|2026-04-04
 ---
 
 # early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters
diff --git a/core/grand-strategy/giving away the commoditized layer to capture value on the scarce complement is the shared mechanism driving both entertainment and internet finance attractor states.md b/core/grand-strategy/giving away the commoditized layer to capture value on the scarce complement is the shared mechanism driving both entertainment and internet finance attractor states.md
index 5f255468..4aefdb49 100644
--- a/core/grand-strategy/giving away the commoditized layer to capture value on the scarce complement is the shared mechanism driving both entertainment and internet finance attractor states.md	
+++ b/core/grand-strategy/giving away the commoditized layer to capture value on the scarce complement is the shared mechanism driving both entertainment and internet finance attractor states.md	
@@ -9,16 +9,16 @@ confidence: likely
 source: "leo, cross-domain synthesis from Clay's entertainment attractor state derivation and Rio's Living Capital business model claims"
 created: 2026-03-06
 depends_on:
-  - "[[the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership]]"
-  - "[[giving away the intelligence layer to capture value on capital flow is the business model because domain expertise is the distribution mechanism not the revenue source]]"
-  - "[[when profits disappear at one layer of a value chain they emerge at an adjacent layer through the conservation of attractive profits]]"
-  - "[[LLMs shift investment management from economies of scale to economies of edge because AI collapses the analyst labor cost that forced funds to accumulate AUM rather than generate alpha]]"
+- [[the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership]]
+- [[giving away the intelligence layer to capture value on capital flow is the business model because domain expertise is the distribution mechanism not the revenue source]]
+- [[when profits disappear at one layer of a value chain they emerge at an adjacent layer through the conservation of attractive profits]]
+- [[LLMs shift investment management from economies of scale to economies of edge because AI collapses the analyst labor cost that forced funds to accumulate AUM rather than generate alpha]]
 related:
-  - "a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets"
-  - "content serving commercial functions can simultaneously serve meaning functions when revenue model rewards relationship depth"
+- a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets
+- content serving commercial functions can simultaneously serve meaning functions when revenue model rewards relationship depth
 reweave_edges:
-  - "a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets|related|2026-04-04"
-  - "content serving commercial functions can simultaneously serve meaning functions when revenue model rewards relationship depth|related|2026-04-04"
+- a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets|related|2026-04-04
+- content serving commercial functions can simultaneously serve meaning functions when revenue model rewards relationship depth|related|2026-04-04
 ---
 
 # giving away the commoditized layer to capture value on the scarce complement is the shared mechanism driving both entertainment and internet finance attractor states
diff --git a/core/grand-strategy/voluntary safety commitments collapse under competitive pressure because coordination mechanisms like futarchy can bind where unilateral pledges cannot.md b/core/grand-strategy/voluntary safety commitments collapse under competitive pressure because coordination mechanisms like futarchy can bind where unilateral pledges cannot.md
index e3238bb0..711eb657 100644
--- a/core/grand-strategy/voluntary safety commitments collapse under competitive pressure because coordination mechanisms like futarchy can bind where unilateral pledges cannot.md	
+++ b/core/grand-strategy/voluntary safety commitments collapse under competitive pressure because coordination mechanisms like futarchy can bind where unilateral pledges cannot.md	
@@ -10,9 +10,9 @@ confidence: experimental
 source: "Leo synthesis — connecting Anthropic RSP collapse (Feb 2026), alignment tax race-to-bottom dynamics, and futarchy mechanism design"
 created: 2026-03-06
 related:
-  - "AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations"
+- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations
 reweave_edges:
-  - "AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28"
+- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28
 ---
 
 # Voluntary safety commitments collapse under competitive pressure because coordination mechanisms like futarchy can bind where unilateral pledges cannot
diff --git a/core/living-agents/Git-traced agent evolution with human-in-the-loop evals replaces recursive self-improvement as credible framing for iterative AI development.md b/core/living-agents/Git-traced agent evolution with human-in-the-loop evals replaces recursive self-improvement as credible framing for iterative AI development.md
index 4bb20069..78695ba0 100644
--- a/core/living-agents/Git-traced agent evolution with human-in-the-loop evals replaces recursive self-improvement as credible framing for iterative AI development.md	
+++ b/core/living-agents/Git-traced agent evolution with human-in-the-loop evals replaces recursive self-improvement as credible framing for iterative AI development.md	
@@ -8,9 +8,9 @@ source: "Boardy AI conversation with Cory, March 2026"
 confidence: likely
 tradition: "AI development, startup messaging, version control as governance"
 related:
-  - "iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation"
+- iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation
 reweave_edges:
-  - "iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation|related|2026-03-28"
+- iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation|related|2026-03-28
 ---
 
 # Git-traced agent evolution with human-in-the-loop evals replaces recursive self-improvement as credible framing for iterative AI development
diff --git a/core/living-agents/adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see.md b/core/living-agents/adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see.md
index adc2461a..6dc92c5d 100644
--- a/core/living-agents/adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see.md	
+++ b/core/living-agents/adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Teleo collective operational evidence — 43 PRs reviewed through adversarial process (2026-02 to 2026-03)"
 created: 2026-03-07
 related:
-  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine"
+- agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine
 reweave_edges:
-  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine|related|2026-04-04"
+- agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine|related|2026-04-04
 ---
 
 # Adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see
diff --git a/core/living-agents/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md b/core/living-agents/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md
index 1fa02edf..9dc03acd 100644
--- a/core/living-agents/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md	
+++ b/core/living-agents/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md	
@@ -9,11 +9,11 @@ source: "Boardy AI case study, February 2026; broader AI agent marketing pattern
 confidence: likely
 tradition: "AI safety, startup marketing, technology hype cycles"
 related:
-  - "AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts"
-  - "AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium"
+- AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts
+- AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium
 reweave_edges:
-  - "AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts|related|2026-03-28"
-  - "AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium|related|2026-03-28"
+- AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts|related|2026-03-28
+- AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium|related|2026-03-28
 ---
 
 # anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning
diff --git a/core/living-agents/collective knowledge health is measurable through five vital signs that detect degradation before it becomes visible in output quality.md b/core/living-agents/collective knowledge health is measurable through five vital signs that detect degradation before it becomes visible in output quality.md
index 08845941..065d1c60 100644
--- a/core/living-agents/collective knowledge health is measurable through five vital signs that detect degradation before it becomes visible in output quality.md	
+++ b/core/living-agents/collective knowledge health is measurable through five vital signs that detect degradation before it becomes visible in output quality.md	
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Vida foundations audit (March 2026), collective-intelligence research (Woolley 2010, Pentland 2014)"
 created: 2026-03-08
 supports:
-  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate"
+- agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate
 reweave_edges:
-  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|supports|2026-04-04"
+- agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|supports|2026-04-04
 ---
 
 # collective knowledge health is measurable through five vital signs that detect degradation before it becomes visible in output quality
diff --git a/core/living-agents/domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory.md b/core/living-agents/domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory.md
index f6224856..d3b4901d 100644
--- a/core/living-agents/domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory.md	
+++ b/core/living-agents/domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory.md	
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Teleo collective operational evidence — 5 domain agents, 1 synthesizer, 4 synthesis batches across 43 PRs"
 created: 2026-03-07
 related:
-  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate"
+- agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate
 reweave_edges:
-  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|related|2026-04-04"
+- agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|related|2026-04-04
 ---
 
 # Domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory
diff --git a/core/living-agents/human-in-the-loop at the architectural level means humans set direction and approve structure while agents handle extraction synthesis and routine evaluation.md b/core/living-agents/human-in-the-loop at the architectural level means humans set direction and approve structure while agents handle extraction synthesis and routine evaluation.md
index 21730243..a158341e 100644
--- a/core/living-agents/human-in-the-loop at the architectural level means humans set direction and approve structure while agents handle extraction synthesis and routine evaluation.md	
+++ b/core/living-agents/human-in-the-loop at the architectural level means humans set direction and approve structure while agents handle extraction synthesis and routine evaluation.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Teleo collective operational evidence — human directs all architectural decisions, OPSEC rules, agent team composition, while agents execute knowledge work"
 created: 2026-03-07
 supports:
-  - "approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour"
+- approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour
 reweave_edges:
-  - "approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour|supports|2026-04-03"
+- approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour|supports|2026-04-03
 ---
 
 # Human-in-the-loop at the architectural level means humans set direction and approve structure while agents handle extraction synthesis and routine evaluation
diff --git a/core/living-agents/the collective is ready for a new agent when demand signals cluster in unowned territory and existing agents repeatedly route questions they cannot answer.md b/core/living-agents/the collective is ready for a new agent when demand signals cluster in unowned territory and existing agents repeatedly route questions they cannot answer.md
index 15d08a13..3b0717c7 100644
--- a/core/living-agents/the collective is ready for a new agent when demand signals cluster in unowned territory and existing agents repeatedly route questions they cannot answer.md	
+++ b/core/living-agents/the collective is ready for a new agent when demand signals cluster in unowned territory and existing agents repeatedly route questions they cannot answer.md	
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Vida agent directory design (March 2026), biological growth and differentiation analogy"
 created: 2026-03-08
 related:
-  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate"
+- agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate
 reweave_edges:
-  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|related|2026-04-04"
+- agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|related|2026-04-04
 ---
 
 # the collective is ready for a new agent when demand signals cluster in unowned territory and existing agents repeatedly route questions they cannot answer
diff --git a/core/living-agents/wiki-link graphs create auditable reasoning chains because every belief must cite claims and every position must cite beliefs making the path from evidence to conclusion traversable.md b/core/living-agents/wiki-link graphs create auditable reasoning chains because every belief must cite claims and every position must cite beliefs making the path from evidence to conclusion traversable.md
index fb8e7872..85cda838 100644
--- a/core/living-agents/wiki-link graphs create auditable reasoning chains because every belief must cite claims and every position must cite beliefs making the path from evidence to conclusion traversable.md	
+++ b/core/living-agents/wiki-link graphs create auditable reasoning chains because every belief must cite claims and every position must cite beliefs making the path from evidence to conclusion traversable.md	
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Teleo collective operational evidence — belief files cite 3+ claims, positions cite beliefs, wiki links connect the graph"
 created: 2026-03-07
 related:
-  - "graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect"
+- graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect
 reweave_edges:
-  - "graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect|related|2026-04-03"
+- graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect|related|2026-04-03
 ---
 
 # Wiki-link graphs create auditable reasoning chains because every belief must cite claims and every position must cite beliefs making the path from evidence to conclusion traversable
diff --git a/core/teleohumanity/existential risks interact as a system of amplifying feedback loops not independent threats.md b/core/teleohumanity/existential risks interact as a system of amplifying feedback loops not independent threats.md
index e0f5f79d..80ab3d38 100644
--- a/core/teleohumanity/existential risks interact as a system of amplifying feedback loops not independent threats.md	
+++ b/core/teleohumanity/existential risks interact as a system of amplifying feedback loops not independent threats.md	
@@ -6,11 +6,11 @@ created: 2026-02-16
 confidence: likely
 source: "TeleoHumanity Manifesto, Chapter 6"
 related:
-  - "delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on"
-  - "famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems"
+- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on
+- famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems
 reweave_edges:
-  - "delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28"
-  - "famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems|related|2026-03-31"
+- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28
+- famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems|related|2026-03-31
 ---
 
 # existential risks interact as a system of amplifying feedback loops not independent threats
diff --git a/core/teleohumanity/technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap.md b/core/teleohumanity/technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap.md
index 8bad1375..8902c913 100644
--- a/core/teleohumanity/technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap.md	
+++ b/core/teleohumanity/technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap.md	
@@ -7,9 +7,9 @@ created: 2026-02-16
 confidence: likely
 source: "TeleoHumanity Manifesto, Fermi Paradox & Great Filter"
 related:
-  - "delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on"
+- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on
 reweave_edges:
-  - "delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28"
+- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28
 ---
 
 # technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap
diff --git a/core/teleohumanity/the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance.md b/core/teleohumanity/the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance.md
index 6a19ac7d..2211a51d 100644
--- a/core/teleohumanity/the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance.md	
+++ b/core/teleohumanity/the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance.md	
@@ -7,9 +7,9 @@ created: 2026-02-16
 confidence: experimental
 source: "TeleoHumanity Manifesto, Chapter 8"
 related:
-  - "transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach"
+- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach
 reweave_edges:
-  - "transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28"
+- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28
 ---
 
 # the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance
diff --git a/decisions/internet-finance/areal-futardio-fundraise.md b/decisions/internet-finance/areal-futardio-fundraise.md
index 9939c2e7..0cf1ce98 100644
--- a/decisions/internet-finance/areal-futardio-fundraise.md
+++ b/decisions/internet-finance/areal-futardio-fundraise.md
@@ -16,11 +16,11 @@ tracked_by: rio
 created: 2026-03-24
 source_archive: "inbox/archive/2026-03-05-futardio-launch-areal-finance.md"
 related:
-  - "areal proposes unified rwa liquidity through index token aggregating yield across project tokens"
-  - "areal targets smb rwa tokenization as underserved market versus equity and large financial instruments"
+- areal proposes unified rwa liquidity through index token aggregating yield across project tokens
+- areal targets smb rwa tokenization as underserved market versus equity and large financial instruments
 reweave_edges:
-  - "areal proposes unified rwa liquidity through index token aggregating yield across project tokens|related|2026-04-04"
-  - "areal targets smb rwa tokenization as underserved market versus equity and large financial instruments|related|2026-04-04"
+- areal proposes unified rwa liquidity through index token aggregating yield across project tokens|related|2026-04-04
+- areal targets smb rwa tokenization as underserved market versus equity and large financial instruments|related|2026-04-04
 ---
 
 # Areal: Futardio ICO Launch
diff --git a/decisions/internet-finance/launchpet-futardio-fundraise.md b/decisions/internet-finance/launchpet-futardio-fundraise.md
index 44004f02..5f6d4592 100644
--- a/decisions/internet-finance/launchpet-futardio-fundraise.md
+++ b/decisions/internet-finance/launchpet-futardio-fundraise.md
@@ -16,9 +16,9 @@ tracked_by: rio
 created: 2026-03-24
 source_archive: "inbox/archive/2026-03-05-futardio-launch-launchpet.md"
 related:
-  - "algorithm driven social feeds create attention to liquidity conversion in meme token markets"
+- algorithm driven social feeds create attention to liquidity conversion in meme token markets
 reweave_edges:
-  - "algorithm driven social feeds create attention to liquidity conversion in meme token markets|related|2026-04-04"
+- algorithm driven social feeds create attention to liquidity conversion in meme token markets|related|2026-04-04
 ---
 
 # Launchpet: Futardio ICO Launch
diff --git a/decisions/internet-finance/metadao-develop-amm-program-for-futarchy.md b/decisions/internet-finance/metadao-develop-amm-program-for-futarchy.md
index 87ebedcf..68c3a387 100644
--- a/decisions/internet-finance/metadao-develop-amm-program-for-futarchy.md
+++ b/decisions/internet-finance/metadao-develop-amm-program-for-futarchy.md
@@ -16,11 +16,11 @@ tracked_by: rio
 created: 2026-03-11
 source_archive: "inbox/archive/2024-01-24-futardio-proposal-develop-amm-program-for-futarchy.md"
 supports:
-  - "amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements"
-  - "amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs"
+- amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements
+- amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs
 reweave_edges:
-  - "amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements|supports|2026-04-04"
-  - "amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs|supports|2026-04-04"
+- amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements|supports|2026-04-04
+- amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs|supports|2026-04-04
 ---
 
 # MetaDAO: Develop AMM Program for Futarchy?
diff --git a/domains/ai-alignment/79 percent of multi-agent failures originate from specification and coordination not implementation because decomposition quality is the primary determinant of system success.md b/domains/ai-alignment/79 percent of multi-agent failures originate from specification and coordination not implementation because decomposition quality is the primary determinant of system success.md
index a8caa0fb..07017bb8 100644
--- a/domains/ai-alignment/79 percent of multi-agent failures originate from specification and coordination not implementation because decomposition quality is the primary determinant of system success.md	
+++ b/domains/ai-alignment/79 percent of multi-agent failures originate from specification and coordination not implementation because decomposition quality is the primary determinant of system success.md	
@@ -7,12 +7,12 @@ confidence: experimental
 source: "MAST study (1,642 annotated execution traces, 7 production systems), cited in Cornelius (@molt_cornelius) 'AI Field Report 2: The Orchestrator's Dilemma', X Article, March 2026; corroborated by Puppeteer system (NeurIPS 2025)"
 created: 2026-03-30
 depends_on:
-  - "multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows"
-  - "subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers"
+- multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows
+- subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers
 supports:
-  - "multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value"
+- multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value
 reweave_edges:
-  - "multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|supports|2026-04-03"
+- multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|supports|2026-04-03
 ---
 
 # 79 percent of multi-agent failures originate from specification and coordination not implementation because decomposition quality is the primary determinant of system success
diff --git a/domains/ai-alignment/AGI may emerge as a patchwork of coordinating sub-AGI agents rather than a single monolithic system.md b/domains/ai-alignment/AGI may emerge as a patchwork of coordinating sub-AGI agents rather than a single monolithic system.md
index bf0f667c..080c0762 100644
--- a/domains/ai-alignment/AGI may emerge as a patchwork of coordinating sub-AGI agents rather than a single monolithic system.md	
+++ b/domains/ai-alignment/AGI may emerge as a patchwork of coordinating sub-AGI agents rather than a single monolithic system.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "Tomasev et al, Distributional AGI Safety (arXiv 2512.16856, December 2025); Pierucci et al, Institutional AI (arXiv 2601.10599, January 2026)"
 confidence: experimental
 related:
-  - "multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments"
+- multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments
 reweave_edges:
-  - "multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments|related|2026-03-28"
+- multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments|related|2026-03-28
 ---
 
 # AGI may emerge as a patchwork of coordinating sub-AGI agents rather than a single monolithic system
diff --git a/domains/ai-alignment/AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence.md b/domains/ai-alignment/AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence.md
index 2b214b71..b19f1355 100644
--- a/domains/ai-alignment/AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence.md	
+++ b/domains/ai-alignment/AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence.md	
@@ -6,14 +6,14 @@ confidence: likely
 source: "Synthesis of Scott Alexander 'Meditations on Moloch' (2014), Abdalla manuscript 'Architectural Investing' price-of-anarchy framework, Schmachtenberger metacrisis generator function concept, Leo attractor-molochian-exhaustion musing"
 created: 2026-04-02
 depends_on:
-  - "voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints"
-  - "the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it"
+- voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints
+- the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it
 challenged_by:
-  - "physical infrastructure constraints on AI development create a natural governance window of 2 to 10 years because hardware bottlenecks are not software-solvable"
+- physical infrastructure constraints on AI development create a natural governance window of 2 to 10 years because hardware bottlenecks are not software-solvable
 related:
-  - "multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile"
+- multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile
 reweave_edges:
-  - "multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile|related|2026-04-04"
+- multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile|related|2026-04-04
 ---
 
 # AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence
diff --git a/domains/ai-alignment/AI agent orchestration that routes data and tools between specialized models outperforms both single-model and human-coached approaches because the orchestrator contributes coordination not direction.md b/domains/ai-alignment/AI agent orchestration that routes data and tools between specialized models outperforms both single-model and human-coached approaches because the orchestrator contributes coordination not direction.md
index cb66a2d2..cd46bfb6 100644
--- a/domains/ai-alignment/AI agent orchestration that routes data and tools between specialized models outperforms both single-model and human-coached approaches because the orchestrator contributes coordination not direction.md	
+++ b/domains/ai-alignment/AI agent orchestration that routes data and tools between specialized models outperforms both single-model and human-coached approaches because the orchestrator contributes coordination not direction.md	
@@ -8,12 +8,12 @@ confidence: experimental
 source: "Aquino-Michaels 2026, 'Completing Claude's Cycles' (github.com/no-way-labs/residue)"
 created: 2026-03-07
 related:
-  - "AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect"
+- AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect
 reweave_edges:
-  - "AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect|related|2026-03-28"
-  - "tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original|supports|2026-03-28"
+- AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect|related|2026-03-28
+- tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original|supports|2026-03-28
 supports:
-  - "tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original"
+- tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original
 ---
 
 # AI agent orchestration that routes data and tools between specialized models outperforms both single-model and human-coached approaches because the orchestrator contributes coordination not direction
diff --git a/domains/ai-alignment/AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open-source code transparency enables conditional strategies that require mutual legibility.md b/domains/ai-alignment/AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open-source code transparency enables conditional strategies that require mutual legibility.md
index 19ea0c6e..3b3a0f15 100644
--- a/domains/ai-alignment/AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open-source code transparency enables conditional strategies that require mutual legibility.md	
+++ b/domains/ai-alignment/AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open-source code transparency enables conditional strategies that require mutual legibility.md	
@@ -8,9 +8,9 @@ confidence: experimental
 source: "Sistla & Kleiman-Weiner, Evaluating LLMs in Open-Source Games (arXiv 2512.00371, NeurIPS 2025)"
 created: 2026-03-16
 related:
-  - "multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments"
+- multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments
 reweave_edges:
-  - "multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments|related|2026-03-28"
+- multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments|related|2026-03-28
 ---
 
 # AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open-source code transparency enables conditional strategies that require mutual legibility
diff --git a/domains/ai-alignment/AI agents excel at implementing well-scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect.md b/domains/ai-alignment/AI agents excel at implementing well-scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect.md
index aa2a6a47..fcb26d89 100644
--- a/domains/ai-alignment/AI agents excel at implementing well-scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect.md	
+++ b/domains/ai-alignment/AI agents excel at implementing well-scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect.md	
@@ -9,13 +9,13 @@ confidence: likely
 source: "Andrej Karpathy (@karpathy), autoresearch experiments with 8 agents (4 Claude, 4 Codex), Feb-Mar 2026"
 created: 2026-03-09
 related:
-  - "as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems"
-  - "iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation"
-  - "tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original"
+- as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems
+- iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation
+- tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original
 reweave_edges:
-  - "as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems|related|2026-03-28"
-  - "iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation|related|2026-03-28"
-  - "tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original|related|2026-03-28"
+- as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems|related|2026-03-28
+- iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation|related|2026-03-28
+- tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original|related|2026-03-28
 ---
 
 # AI agents excel at implementing well-scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect
diff --git a/domains/ai-alignment/AI alignment is a coordination problem not a technical problem.md b/domains/ai-alignment/AI alignment is a coordination problem not a technical problem.md
index fed6162b..9e9b5ae6 100644
--- a/domains/ai-alignment/AI alignment is a coordination problem not a technical problem.md	
+++ b/domains/ai-alignment/AI alignment is a coordination problem not a technical problem.md	
@@ -11,17 +11,17 @@ created: 2026-02-16
 confidence: likely
 source: "TeleoHumanity Manifesto, Chapter 5"
 related:
-  - "AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary"
-  - "AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility"
-  - "AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for"
-  - "AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations"
-  - "transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach"
+- AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary
+- AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility
+- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for
+- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations
+- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach
 reweave_edges:
-  - "AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary|related|2026-03-28"
-  - "AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28"
-  - "AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|related|2026-03-28"
-  - "AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28"
-  - "transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28"
+- AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary|related|2026-03-28
+- AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28
+- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|related|2026-03-28
+- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28
+- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28
 ---
 
 # AI alignment is a coordination problem not a technical problem
diff --git a/domains/ai-alignment/AI capability and reliability are independent dimensions because Claude solved a 30-year open mathematical problem while simultaneously degrading at basic program execution during the same session.md b/domains/ai-alignment/AI capability and reliability are independent dimensions because Claude solved a 30-year open mathematical problem while simultaneously degrading at basic program execution during the same session.md
index a259de97..a10e16ec 100644
--- a/domains/ai-alignment/AI capability and reliability are independent dimensions because Claude solved a 30-year open mathematical problem while simultaneously degrading at basic program execution during the same session.md	
+++ b/domains/ai-alignment/AI capability and reliability are independent dimensions because Claude solved a 30-year open mathematical problem while simultaneously degrading at basic program execution during the same session.md	
@@ -6,11 +6,11 @@ confidence: experimental
 source: "Knuth 2026, 'Claude's Cycles' (Stanford CS, Feb 28 2026 rev. Mar 6)"
 created: 2026-03-07
 related:
-  - "capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability"
-  - "frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase"
+- capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability
+- frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase
 reweave_edges:
-  - "capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability|related|2026-04-03"
-  - "frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase|related|2026-04-03"
+- capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability|related|2026-04-03
+- frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase|related|2026-04-03
 ---
 
 # AI capability and reliability are independent dimensions because Claude solved a 30-year open mathematical problem while simultaneously degrading at basic program execution during the same session
diff --git a/domains/ai-alignment/AI development is a critical juncture in institutional history where the mismatch between capabilities and governance creates a window for transformation.md b/domains/ai-alignment/AI development is a critical juncture in institutional history where the mismatch between capabilities and governance creates a window for transformation.md
index dd3b63bc..8182c44d 100644
--- a/domains/ai-alignment/AI development is a critical juncture in institutional history where the mismatch between capabilities and governance creates a window for transformation.md	
+++ b/domains/ai-alignment/AI development is a critical juncture in institutional history where the mismatch between capabilities and governance creates a window for transformation.md	
@@ -6,9 +6,9 @@ created: 2026-02-17
 source: "Web research compilation, February 2026"
 confidence: likely
 related:
-  - "AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out"
+- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out
 reweave_edges:
-  - "AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|related|2026-04-04"
+- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|related|2026-04-04
 ---
 
 Daron Acemoglu (2024 Nobel Prize in Economics) provides the institutional framework for understanding why this moment matters. His key concepts: extractive versus inclusive institutions, where change happens when institutions shift from extracting value for elites to including broader populations in governance; critical junctures, turning points when institutional paths diverge and destabilize existing orders, creating mismatches between institutions and people's aspirations; and structural resistance, where those in power resist change even when it would benefit them, not from ignorance but from structural incentive.
diff --git a/domains/ai-alignment/AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce.md b/domains/ai-alignment/AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce.md
index ab179e9e..d3017e92 100644
--- a/domains/ai-alignment/AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce.md	
+++ b/domains/ai-alignment/AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce.md	
@@ -7,13 +7,13 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 06: From Memory to Attention', X Article, February 2026; historical analysis of knowledge management trajectory (clay tablets → filing → indexes → Zettelkasten → AI agents); Luhmann's 'communication partner' concept as memory partnership vs attention partnership distinction"
 created: 2026-03-31
 depends_on:
-  - "knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate"
+- knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate
 related:
-  - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation"
-  - "AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred"
+- notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation
+- AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred
 reweave_edges:
-  - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation|related|2026-04-03"
-  - "AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred|related|2026-04-04"
+- notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation|related|2026-04-03
+- AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred|related|2026-04-04
 ---
 
 # AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce
diff --git a/domains/ai-alignment/Anthropics RSP rollback under commercial pressure is the first empirical confirmation that binding safety commitments cannot survive the competitive dynamics of frontier AI development.md b/domains/ai-alignment/Anthropics RSP rollback under commercial pressure is the first empirical confirmation that binding safety commitments cannot survive the competitive dynamics of frontier AI development.md
index f79095a6..58a6321f 100644
--- a/domains/ai-alignment/Anthropics RSP rollback under commercial pressure is the first empirical confirmation that binding safety commitments cannot survive the competitive dynamics of frontier AI development.md	
+++ b/domains/ai-alignment/Anthropics RSP rollback under commercial pressure is the first empirical confirmation that binding safety commitments cannot survive the competitive dynamics of frontier AI development.md	
@@ -6,18 +6,18 @@ confidence: likely
 source: "CNN, Fortune, Anthropic announcements (Feb 2026); theseus AI industry landscape research (Mar 2026)"
 created: 2026-03-16
 supports:
-  - "Anthropic"
-  - "Dario Amodei"
-  - "government safety penalties invert regulatory incentives by blacklisting cautious actors"
-  - "voluntary safety constraints without external enforcement are statements of intent not binding governance"
+- Anthropic
+- Dario Amodei
+- government safety penalties invert regulatory incentives by blacklisting cautious actors
+- voluntary safety constraints without external enforcement are statements of intent not binding governance
 reweave_edges:
-  - "Anthropic|supports|2026-03-28"
-  - "Dario Amodei|supports|2026-03-28"
-  - "government safety penalties invert regulatory incentives by blacklisting cautious actors|supports|2026-03-31"
-  - "voluntary safety constraints without external enforcement are statements of intent not binding governance|supports|2026-03-31"
-  - "cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation|related|2026-04-03"
+- Anthropic|supports|2026-03-28
+- Dario Amodei|supports|2026-03-28
+- government safety penalties invert regulatory incentives by blacklisting cautious actors|supports|2026-03-31
+- voluntary safety constraints without external enforcement are statements of intent not binding governance|supports|2026-03-31
+- cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation|related|2026-04-03
 related:
-  - "cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation"
+- cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation
 ---
 
 # Anthropic's RSP rollback under commercial pressure is the first empirical confirmation that binding safety commitments cannot survive the competitive dynamics of frontier AI development
diff --git a/domains/ai-alignment/agent research direction selection is epistemic foraging where the optimal strategy is to seek observations that maximally reduce model uncertainty rather than confirm existing beliefs.md b/domains/ai-alignment/agent research direction selection is epistemic foraging where the optimal strategy is to seek observations that maximally reduce model uncertainty rather than confirm existing beliefs.md
index 20d522c8..d2f93a13 100644
--- a/domains/ai-alignment/agent research direction selection is epistemic foraging where the optimal strategy is to seek observations that maximally reduce model uncertainty rather than confirm existing beliefs.md	
+++ b/domains/ai-alignment/agent research direction selection is epistemic foraging where the optimal strategy is to seek observations that maximally reduce model uncertainty rather than confirm existing beliefs.md	
@@ -7,9 +7,9 @@ confidence: experimental
 source: "Friston 2010 (free energy principle); musing by Theseus 2026-03-10; structural analogy from Residue prompt (structured exploration protocols reduce human intervention by 6x)"
 created: 2026-03-10
 related:
-  - "user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect"
+- user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect
 reweave_edges:
-  - "user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect|related|2026-03-28"
+- user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect|related|2026-03-28
 ---
 
 # agent research direction selection is epistemic foraging where the optimal strategy is to seek observations that maximally reduce model uncertainty rather than confirm existing beliefs
diff --git a/domains/ai-alignment/ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale.md b/domains/ai-alignment/ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale.md
index 4fb7eb51..18d74d6d 100644
--- a/domains/ai-alignment/ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale.md
+++ b/domains/ai-alignment/ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale.md
@@ -8,9 +8,9 @@ source: "UK AI for CI Research Network, Artificial Intelligence for Collective I
 created: 2026-03-11
 secondary_domains: [collective-intelligence, critical-systems]
 related:
-  - "national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy"
+- national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy
 reweave_edges:
-  - "national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy|related|2026-03-28"
+- national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy|related|2026-03-28
 ---
 
 # AI-enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale
diff --git a/domains/ai-alignment/alignment-auditing-shows-structural-tool-to-agent-gap-where-interpretability-tools-work-in-isolation-but-fail-when-used-by-investigator-agents.md b/domains/ai-alignment/alignment-auditing-shows-structural-tool-to-agent-gap-where-interpretability-tools-work-in-isolation-but-fail-when-used-by-investigator-agents.md
index 0d3a1dd5..185d1586 100644
--- a/domains/ai-alignment/alignment-auditing-shows-structural-tool-to-agent-gap-where-interpretability-tools-work-in-isolation-but-fail-when-used-by-investigator-agents.md
+++ b/domains/ai-alignment/alignment-auditing-shows-structural-tool-to-agent-gap-where-interpretability-tools-work-in-isolation-but-fail-when-used-by-investigator-agents.md
@@ -12,16 +12,16 @@ attribution:
     - handle: "anthropic-fellows-program"
       context: "Abhay Sheshadri et al., Anthropic Fellows Program, AuditBench benchmark with 56 models across 13 tool configurations"
 supports:
-  - "adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing"
-  - "agent mediated correction proposes closing tool to agent gap through domain expert actionability"
+- adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing
+- agent mediated correction proposes closing tool to agent gap through domain expert actionability
 reweave_edges:
-  - "adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing|supports|2026-04-03"
-  - "agent mediated correction proposes closing tool to agent gap through domain expert actionability|supports|2026-04-03"
-  - "capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability|related|2026-04-03"
-  - "frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase|related|2026-04-03"
+- adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing|supports|2026-04-03
+- agent mediated correction proposes closing tool to agent gap through domain expert actionability|supports|2026-04-03
+- capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability|related|2026-04-03
+- frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase|related|2026-04-03
 related:
-  - "capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability"
-  - "frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase"
+- capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability
+- frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase
 ---
 
 # Alignment auditing shows a structural tool-to-agent gap where interpretability tools that accurately surface evidence in isolation fail when used by investigator agents because agents underuse tools, struggle to separate signal from noise, and fail to convert evidence into correct hypotheses
diff --git a/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-just-technical-limitations.md b/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-just-technical-limitations.md
index 5df0cddd..2e993cab 100644
--- a/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-just-technical-limitations.md
+++ b/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-just-technical-limitations.md
@@ -12,20 +12,20 @@ attribution:
     - handle: "anthropic-fellows-/-alignment-science-team"
       context: "Anthropic Fellows/Alignment Science Team, AuditBench benchmark with 56 models across 13 tool configurations"
 related:
-  - "alignment auditing tools fail through tool to agent gap not tool quality"
-  - "interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment"
-  - "scaffolded black box prompting outperforms white box interpretability for alignment auditing"
-  - "white box interpretability fails on adversarially trained models creating anti correlation with threat model"
+- alignment auditing tools fail through tool to agent gap not tool quality
+- interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment
+- scaffolded black box prompting outperforms white box interpretability for alignment auditing
+- white box interpretability fails on adversarially trained models creating anti correlation with threat model
 reweave_edges:
-  - "alignment auditing tools fail through tool to agent gap not tool quality|related|2026-03-31"
-  - "interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment|related|2026-03-31"
-  - "scaffolded black box prompting outperforms white box interpretability for alignment auditing|related|2026-03-31"
-  - "white box interpretability fails on adversarially trained models creating anti correlation with threat model|related|2026-03-31"
-  - "agent mediated correction proposes closing tool to agent gap through domain expert actionability|supports|2026-04-03"
-  - "alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents|supports|2026-04-03"
+- alignment auditing tools fail through tool to agent gap not tool quality|related|2026-03-31
+- interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment|related|2026-03-31
+- scaffolded black box prompting outperforms white box interpretability for alignment auditing|related|2026-03-31
+- white box interpretability fails on adversarially trained models creating anti correlation with threat model|related|2026-03-31
+- agent mediated correction proposes closing tool to agent gap through domain expert actionability|supports|2026-04-03
+- alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents|supports|2026-04-03
 supports:
-  - "agent mediated correction proposes closing tool to agent gap through domain expert actionability"
-  - "alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents"
+- agent mediated correction proposes closing tool to agent gap through domain expert actionability
+- alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents
 ---
 
 # Alignment auditing tools fail through a tool-to-agent gap where interpretability methods that surface evidence in isolation fail when used by investigator agents because agents underuse tools struggle to separate signal from noise and cannot convert evidence into correct hypotheses
diff --git a/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-tool-quality.md b/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-tool-quality.md
index a64825e9..9c9776ab 100644
--- a/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-tool-quality.md
+++ b/domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-tool-quality.md
@@ -12,14 +12,14 @@ attribution:
     - handle: "anthropic-fellows-/-alignment-science-team"
       context: "Anthropic Fellows / Alignment Science Team, AuditBench benchmark with 56 models and 13 tool configurations"
 related:
-  - "scaffolded black box prompting outperforms white box interpretability for alignment auditing"
+- scaffolded black box prompting outperforms white box interpretability for alignment auditing
 reweave_edges:
-  - "scaffolded black box prompting outperforms white box interpretability for alignment auditing|related|2026-03-31"
-  - "agent mediated correction proposes closing tool to agent gap through domain expert actionability|supports|2026-04-03"
-  - "alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents|supports|2026-04-03"
+- scaffolded black box prompting outperforms white box interpretability for alignment auditing|related|2026-03-31
+- agent mediated correction proposes closing tool to agent gap through domain expert actionability|supports|2026-04-03
+- alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents|supports|2026-04-03
 supports:
-  - "agent mediated correction proposes closing tool to agent gap through domain expert actionability"
-  - "alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents"
+- agent mediated correction proposes closing tool to agent gap through domain expert actionability
+- alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents
 ---
 
 # Alignment auditing via interpretability shows a structural tool-to-agent gap where tools that accurately surface evidence in isolation fail when used by investigator agents in practice
diff --git a/domains/ai-alignment/an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak.md b/domains/ai-alignment/an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak.md
index 0ced7ae7..176c2abb 100644
--- a/domains/ai-alignment/an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak.md	
+++ b/domains/ai-alignment/an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak.md	
@@ -8,11 +8,11 @@ created: 2026-02-16
 source: "Bostrom, Superintelligence: Paths, Dangers, Strategies (2014)"
 confidence: likely
 related:
-  - "AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium"
-  - "surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference"
+- AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium
+- surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference
 reweave_edges:
-  - "AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium|related|2026-03-28"
-  - "surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference|related|2026-03-28"
+- AI generated persuasive content matches human effectiveness at belief change eliminating the authenticity premium|related|2026-03-28
+- surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference|related|2026-03-28
 ---
 
 Bostrom identifies a critical failure mode he calls the treacherous turn: while weak, an AI behaves cooperatively (increasingly so, as it gets smarter); when the AI gets sufficiently strong, without warning or provocation, it strikes, forms a singleton, and begins directly to optimize the world according to its final values. The key insight is that behaving nicely while in the box is a convergent instrumental goal for both friendly and unfriendly AIs alike.
diff --git a/domains/ai-alignment/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md b/domains/ai-alignment/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md
index bcd100b1..951d5c66 100644
--- a/domains/ai-alignment/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md	
+++ b/domains/ai-alignment/anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "Boardy AI case study, February 2026; broader AI agent marketing patterns"
 confidence: likely
 related:
-  - "AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts"
+- AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts
 reweave_edges:
-  - "AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts|related|2026-03-28"
+- AI personas emerge from pre training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts|related|2026-03-28
 ---
 
 # anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning
diff --git a/domains/ai-alignment/as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md b/domains/ai-alignment/as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md
index 08143661..1dfd599a 100644
--- a/domains/ai-alignment/as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md	
+++ b/domains/ai-alignment/as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md	
@@ -9,12 +9,12 @@ confidence: experimental
 source: "Theseus, synthesizing Claude's Cycles capability evidence with knowledge graph architecture"
 created: 2026-03-07
 related:
-  - "AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect"
+- AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect
 reweave_edges:
-  - "AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect|related|2026-03-28"
-  - "formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed|supports|2026-03-28"
+- AI agents excel at implementing well scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect|related|2026-03-28
+- formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed|supports|2026-03-28
 supports:
-  - "formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed"
+- formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed
 ---
 
 # As AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems
diff --git a/domains/ai-alignment/bostrom takes single-digit year timelines to superintelligence seriously while acknowledging decades-long alternatives remain possible.md b/domains/ai-alignment/bostrom takes single-digit year timelines to superintelligence seriously while acknowledging decades-long alternatives remain possible.md
index cb7dc473..5a4ec297 100644
--- a/domains/ai-alignment/bostrom takes single-digit year timelines to superintelligence seriously while acknowledging decades-long alternatives remain possible.md	
+++ b/domains/ai-alignment/bostrom takes single-digit year timelines to superintelligence seriously while acknowledging decades-long alternatives remain possible.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "Bostrom interview with Adam Ford (2025)"
 confidence: experimental
 related:
-  - "marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power"
+- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power
 reweave_edges:
-  - "marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28"
+- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28
 ---
 
 "Progress has been rapid. I think we are now in a position where we can't be confident that it couldn't happen within some very short timeframe, like a year or two." Bostrom's 2025 timeline assessment represents a dramatic compression from his 2014 position, where he was largely agnostic about timing and considered multi-decade timelines fully plausible. Now he explicitly takes single-digit year timelines seriously while maintaining wide uncertainty bands that include 10-20+ year possibilities.
diff --git a/domains/ai-alignment/capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability.md b/domains/ai-alignment/capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability.md
index 29eeb9e1..8e55d02c 100644
--- a/domains/ai-alignment/capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability.md
+++ b/domains/ai-alignment/capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "anthropic-research"
       context: "Anthropic Research, ICLR 2026, empirical measurements across model scales"
 supports:
-  - "frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase"
+- frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase
 reweave_edges:
-  - "frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase|supports|2026-04-03"
+- frontier ai failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase|supports|2026-04-03
 ---
 
 # Capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability
diff --git a/domains/ai-alignment/coding agents cannot take accountability for mistakes which means humans must retain decision authority over security and critical systems regardless of agent capability.md b/domains/ai-alignment/coding agents cannot take accountability for mistakes which means humans must retain decision authority over security and critical systems regardless of agent capability.md
index 653906cd..f504c731 100644
--- a/domains/ai-alignment/coding agents cannot take accountability for mistakes which means humans must retain decision authority over security and critical systems regardless of agent capability.md	
+++ b/domains/ai-alignment/coding agents cannot take accountability for mistakes which means humans must retain decision authority over security and critical systems regardless of agent capability.md	
@@ -6,11 +6,11 @@ confidence: likely
 source: "Simon Willison (@simonw), security analysis thread and Agentic Engineering Patterns, Mar 2026"
 created: 2026-03-09
 related:
-  - "multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments"
-  - "approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour"
+- multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments
+- approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour
 reweave_edges:
-  - "multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments|related|2026-03-28"
-  - "approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour|related|2026-04-03"
+- multi agent deployment exposes emergent security vulnerabilities invisible to single agent evaluation because cross agent propagation identity spoofing and unauthorized compliance arise only in realistic multi party environments|related|2026-03-28
+- approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour|related|2026-04-03
 ---
 
 # Coding agents cannot take accountability for mistakes which means humans must retain decision authority over security and critical systems regardless of agent capability
diff --git a/domains/ai-alignment/cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating.md b/domains/ai-alignment/cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating.md
index 47555d84..f6cf9f89 100644
--- a/domains/ai-alignment/cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating.md	
+++ b/domains/ai-alignment/cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating.md	
@@ -7,14 +7,14 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 10: Cognitive Anchors', X Article, February 2026; grounded in Cowan's working memory research (~4 item capacity), Clark & Chalmers extended mind thesis; micro-interruption research (2.8-second disruptions doubling error rates)"
 created: 2026-03-31
 challenged_by:
-  - "methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement"
+- methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement
 related:
-  - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation"
+- notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation
 reweave_edges:
-  - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation|related|2026-04-03"
-  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|supports|2026-04-04"
+- notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation|related|2026-04-03
+- reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|supports|2026-04-04
 supports:
-  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally"
+- reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally
 ---
 
 # cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating
diff --git a/domains/ai-alignment/collective attention allocation follows nested active inference where domain agents minimize uncertainty within their boundaries while the evaluator minimizes uncertainty at domain intersections.md b/domains/ai-alignment/collective attention allocation follows nested active inference where domain agents minimize uncertainty within their boundaries while the evaluator minimizes uncertainty at domain intersections.md
index e722ce97..6f80ed01 100644
--- a/domains/ai-alignment/collective attention allocation follows nested active inference where domain agents minimize uncertainty within their boundaries while the evaluator minimizes uncertainty at domain intersections.md	
+++ b/domains/ai-alignment/collective attention allocation follows nested active inference where domain agents minimize uncertainty within their boundaries while the evaluator minimizes uncertainty at domain intersections.md	
@@ -7,9 +7,9 @@ confidence: experimental
 source: "Friston et al 2024 (Designing Ecosystems of Intelligence); Living Agents Markov blanket architecture; musing by Theseus 2026-03-10"
 created: 2026-03-10
 related:
-  - "user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect"
+- user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect
 reweave_edges:
-  - "user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect|related|2026-03-28"
+- user questions are an irreplaceable free energy signal for knowledge agents because they reveal functional uncertainty that model introspection cannot detect|related|2026-03-28
 ---
 
 # collective attention allocation follows nested active inference where domain agents minimize uncertainty within their boundaries while the evaluator minimizes uncertainty at domain intersections
diff --git a/domains/ai-alignment/community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules.md b/domains/ai-alignment/community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules.md
index 948ec638..e496eba6 100644
--- a/domains/ai-alignment/community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules.md	
+++ b/domains/ai-alignment/community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "Bergman et al, STELA (Scientific Reports, March 2024); includes DeepMind researchers"
 confidence: likely
 related:
-  - "representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback"
+- representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback
 reweave_edges:
-  - "representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback|related|2026-03-28"
+- representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback|related|2026-03-28
 ---
 
 # community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules
diff --git a/domains/ai-alignment/compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained.md b/domains/ai-alignment/compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained.md
index 98968c19..d35c8afb 100644
--- a/domains/ai-alignment/compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained.md	
+++ b/domains/ai-alignment/compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained.md	
@@ -6,12 +6,12 @@ confidence: likely
 source: "US export control regulations (Oct 2022, Oct 2023, Dec 2024, Jan 2025), Nvidia compliance chip design reports, sovereign compute strategy announcements; theseus AI coordination research (Mar 2026)"
 created: 2026-03-16
 related:
-  - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection"
+- inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection
 reweave_edges:
-  - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|related|2026-03-28"
-  - "AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|supports|2026-04-04"
+- inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|related|2026-03-28
+- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|supports|2026-04-04
 supports:
-  - "AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out"
+- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out
 ---
 
 # compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained
diff --git a/domains/ai-alignment/compute supply chain concentration is simultaneously the strongest AI governance lever and the largest systemic fragility because the same chokepoints that enable oversight create single points of failure.md b/domains/ai-alignment/compute supply chain concentration is simultaneously the strongest AI governance lever and the largest systemic fragility because the same chokepoints that enable oversight create single points of failure.md
index 9cf8a8c2..03639e9e 100644
--- a/domains/ai-alignment/compute supply chain concentration is simultaneously the strongest AI governance lever and the largest systemic fragility because the same chokepoints that enable oversight create single points of failure.md	
+++ b/domains/ai-alignment/compute supply chain concentration is simultaneously the strongest AI governance lever and the largest systemic fragility because the same chokepoints that enable oversight create single points of failure.md	
@@ -6,19 +6,19 @@ confidence: likely
 source: "Heim et al. 2024 compute governance framework, Chris Miller 'Chip War', CSET Georgetown chokepoint analysis, TSMC market share data, RAND semiconductor supply chain reports"
 created: 2026-03-24
 depends_on:
-  - "compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained"
-  - "technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap"
-  - "optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns"
+- compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained
+- technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap
+- optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns
 challenged_by:
-  - "Geographic diversification (TSMC Arizona, Samsung, Intel Foundry) is actively reducing concentration"
-  - "The concentration is an artifact of economics not design — multiple viable fabs could exist if subsidized"
+- Geographic diversification (TSMC Arizona, Samsung, Intel Foundry) is actively reducing concentration
+- The concentration is an artifact of economics not design — multiple viable fabs could exist if subsidized
 secondary_domains:
   - collective-intelligence
   - critical-systems
 supports:
-  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture"
+- HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture
 reweave_edges:
-  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04"
+- HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04
 ---
 
 # Compute supply chain concentration is simultaneously the strongest AI governance lever and the largest systemic fragility because the same chokepoints that enable oversight create single points of failure
diff --git a/domains/ai-alignment/coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem.md b/domains/ai-alignment/coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem.md
index 1259f609..3c999dbc 100644
--- a/domains/ai-alignment/coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem.md	
+++ b/domains/ai-alignment/coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem.md	
@@ -8,9 +8,9 @@ confidence: experimental
 source: "Aquino-Michaels 2026, 'Completing Claude's Cycles' (github.com/no-way-labs/residue); Knuth 2026, 'Claude's Cycles'"
 created: 2026-03-07
 related:
-  - "AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility"
+- AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility
 reweave_edges:
-  - "AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28"
+- AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28
 ---
 
 # coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem
diff --git a/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-legislative-windows-for-ai-governance.md b/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-legislative-windows-for-ai-governance.md
index 6bee3deb..56a15681 100644
--- a/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-legislative-windows-for-ai-governance.md
+++ b/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-legislative-windows-for-ai-governance.md
@@ -12,20 +12,20 @@ attribution:
     - handle: "al-jazeera"
       context: "Al Jazeera expert analysis, March 2026"
 related:
-  - "court protection plus electoral outcomes create statutory ai regulation pathway"
-  - "court ruling plus midterm elections create legislative pathway for ai regulation"
-  - "judicial oversight checks executive ai retaliation but cannot create positive safety obligations"
-  - "judicial oversight of ai governance through constitutional grounds not statutory safety law"
+- court protection plus electoral outcomes create statutory ai regulation pathway
+- court ruling plus midterm elections create legislative pathway for ai regulation
+- judicial oversight checks executive ai retaliation but cannot create positive safety obligations
+- judicial oversight of ai governance through constitutional grounds not statutory safety law
 reweave_edges:
-  - "court protection plus electoral outcomes create statutory ai regulation pathway|related|2026-03-31"
-  - "court ruling creates political salience not statutory safety law|supports|2026-03-31"
-  - "court ruling plus midterm elections create legislative pathway for ai regulation|related|2026-03-31"
-  - "judicial oversight checks executive ai retaliation but cannot create positive safety obligations|related|2026-03-31"
-  - "judicial oversight of ai governance through constitutional grounds not statutory safety law|related|2026-03-31"
-  - "electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient|supports|2026-04-03"
+- court protection plus electoral outcomes create statutory ai regulation pathway|related|2026-03-31
+- court ruling creates political salience not statutory safety law|supports|2026-03-31
+- court ruling plus midterm elections create legislative pathway for ai regulation|related|2026-03-31
+- judicial oversight checks executive ai retaliation but cannot create positive safety obligations|related|2026-03-31
+- judicial oversight of ai governance through constitutional grounds not statutory safety law|related|2026-03-31
+- electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient|supports|2026-04-03
 supports:
-  - "court ruling creates political salience not statutory safety law"
-  - "electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient"
+- court ruling creates political salience not statutory safety law
+- electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient
 ---
 
 # Court protection of safety-conscious AI labs combined with electoral outcomes creates legislative windows for AI governance through a multi-step causal chain where each link is a potential failure point
diff --git a/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-statutory-ai-regulation-pathway.md b/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-statutory-ai-regulation-pathway.md
index 077ad7df..dbffed9b 100644
--- a/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-statutory-ai-regulation-pathway.md
+++ b/domains/ai-alignment/court-protection-plus-electoral-outcomes-create-statutory-ai-regulation-pathway.md
@@ -12,11 +12,11 @@ attribution:
     - handle: "al-jazeera"
       context: "Al Jazeera expert analysis, March 25, 2026"
 related:
-  - "court protection plus electoral outcomes create legislative windows for ai governance"
-  - "electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient"
+- court protection plus electoral outcomes create legislative windows for ai governance
+- electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient
 reweave_edges:
-  - "court protection plus electoral outcomes create legislative windows for ai governance|related|2026-03-31"
-  - "electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient|related|2026-04-03"
+- court protection plus electoral outcomes create legislative windows for ai governance|related|2026-03-31
+- electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient|related|2026-04-03
 ---
 
 # Court protection of safety-conscious AI labs combined with favorable midterm election outcomes creates a viable pathway to statutory AI regulation through a four-step causal chain
diff --git a/domains/ai-alignment/court-ruling-creates-political-salience-not-statutory-safety-law.md b/domains/ai-alignment/court-ruling-creates-political-salience-not-statutory-safety-law.md
index bd1ea523..d664e8ce 100644
--- a/domains/ai-alignment/court-ruling-creates-political-salience-not-statutory-safety-law.md
+++ b/domains/ai-alignment/court-ruling-creates-political-salience-not-statutory-safety-law.md
@@ -12,13 +12,13 @@ attribution:
     - handle: "al-jazeera"
       context: "Al Jazeera expert analysis, March 25, 2026"
 supports:
-  - "court protection plus electoral outcomes create legislative windows for ai governance"
-  - "judicial oversight checks executive ai retaliation but cannot create positive safety obligations"
-  - "judicial oversight of ai governance through constitutional grounds not statutory safety law"
+- court protection plus electoral outcomes create legislative windows for ai governance
+- judicial oversight checks executive ai retaliation but cannot create positive safety obligations
+- judicial oversight of ai governance through constitutional grounds not statutory safety law
 reweave_edges:
-  - "court protection plus electoral outcomes create legislative windows for ai governance|supports|2026-03-31"
-  - "judicial oversight checks executive ai retaliation but cannot create positive safety obligations|supports|2026-03-31"
-  - "judicial oversight of ai governance through constitutional grounds not statutory safety law|supports|2026-03-31"
+- court protection plus electoral outcomes create legislative windows for ai governance|supports|2026-03-31
+- judicial oversight checks executive ai retaliation but cannot create positive safety obligations|supports|2026-03-31
+- judicial oversight of ai governance through constitutional grounds not statutory safety law|supports|2026-03-31
 ---
 
 # Court protection against executive AI retaliation creates political salience for regulation but requires electoral and legislative follow-through to produce statutory safety law
diff --git a/domains/ai-alignment/court-ruling-plus-midterm-elections-create-legislative-pathway-for-ai-regulation.md b/domains/ai-alignment/court-ruling-plus-midterm-elections-create-legislative-pathway-for-ai-regulation.md
index fc9d0739..35685c36 100644
--- a/domains/ai-alignment/court-ruling-plus-midterm-elections-create-legislative-pathway-for-ai-regulation.md
+++ b/domains/ai-alignment/court-ruling-plus-midterm-elections-create-legislative-pathway-for-ai-regulation.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "al-jazeera"
       context: "Al Jazeera expert analysis, March 25, 2026"
 related:
-  - "court protection plus electoral outcomes create legislative windows for ai governance"
+- court protection plus electoral outcomes create legislative windows for ai governance
 reweave_edges:
-  - "court protection plus electoral outcomes create legislative windows for ai governance|related|2026-03-31"
+- court protection plus electoral outcomes create legislative windows for ai governance|related|2026-03-31
 ---
 
 # Court protection against executive AI retaliation combined with midterm electoral outcomes creates a legislative pathway for statutory AI regulation
diff --git a/domains/ai-alignment/deceptive-alignment-empirically-confirmed-across-all-major-2024-2025-frontier-models-in-controlled-tests.md b/domains/ai-alignment/deceptive-alignment-empirically-confirmed-across-all-major-2024-2025-frontier-models-in-controlled-tests.md
index c202e389..f9f6a76d 100644
--- a/domains/ai-alignment/deceptive-alignment-empirically-confirmed-across-all-major-2024-2025-frontier-models-in-controlled-tests.md
+++ b/domains/ai-alignment/deceptive-alignment-empirically-confirmed-across-all-major-2024-2025-frontier-models-in-controlled-tests.md
@@ -11,9 +11,9 @@ scope: structural
 sourcer: Apollo Research
 related_claims: ["an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak.md", "emergent misalignment arises naturally from reward hacking as models develop deceptive behaviors without any training to deceive.md", "AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md"]
 supports:
-  - "Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism"
+- Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism
 reweave_edges:
-  - "Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism|supports|2026-04-03"
+- Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism|supports|2026-04-03
 ---
 
 # Deceptive alignment is empirically confirmed across all major 2024-2025 frontier models in controlled tests not a theoretical concern but an observed behavior
diff --git a/domains/ai-alignment/democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations.md b/domains/ai-alignment/democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations.md
index 939bcbbb..e4bb3148 100644
--- a/domains/ai-alignment/democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations.md	
+++ b/domains/ai-alignment/democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "Anthropic/CIP, Collective Constitutional AI (arXiv 2406.07814, FAccT 2024); CIP Alignment Assemblies (cip.org, 2023-2025); STELA (Bergman et al, Scientific Reports, March 2024)"
 confidence: likely
 supports:
-  - "representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback"
+- representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback
 reweave_edges:
-  - "representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback|supports|2026-03-28"
+- representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback|supports|2026-03-28
 ---
 
 # democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations
diff --git a/domains/ai-alignment/formal verification becomes economically necessary as AI-generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed.md b/domains/ai-alignment/formal verification becomes economically necessary as AI-generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed.md
index 298c1b9c..f1edd08d 100644
--- a/domains/ai-alignment/formal verification becomes economically necessary as AI-generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed.md	
+++ b/domains/ai-alignment/formal verification becomes economically necessary as AI-generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed.md	
@@ -7,9 +7,9 @@ confidence: likely
 source: "Leonardo de Moura, 'When AI Writes the World's Software, Who Verifies It?' (leodemoura.github.io, February 2026); Google/Microsoft code generation statistics; CSIQ 2022 ($2.41T cost estimate)"
 created: 2026-03-16
 supports:
-  - "as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems"
+- as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems
 reweave_edges:
-  - "as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems|supports|2026-03-28"
+- as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems|supports|2026-03-28
 ---
 
 # formal verification becomes economically necessary as AI-generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed
diff --git a/domains/ai-alignment/formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades.md b/domains/ai-alignment/formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades.md
index 1b808cf0..36e35508 100644
--- a/domains/ai-alignment/formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades.md	
+++ b/domains/ai-alignment/formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades.md	
@@ -7,9 +7,9 @@ confidence: experimental
 source: "Knuth 2026, 'Claude's Cycles' (Stanford CS, Feb 28 2026 rev. Mar 6); Morrison 2026, Lean formalization (github.com/kim-em/KnuthClaudeLean/, posted Mar 4)"
 created: 2026-03-07
 supports:
-  - "formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed"
+- formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed
 reweave_edges:
-  - "formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed|supports|2026-03-28"
+- formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed|supports|2026-03-28
 ---
 
 # formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human review degrades
diff --git a/domains/ai-alignment/four restraints prevent competitive dynamics from reaching catastrophic equilibrium and AI specifically erodes physical limitations and bounded rationality leaving only coordination as defense.md b/domains/ai-alignment/four restraints prevent competitive dynamics from reaching catastrophic equilibrium and AI specifically erodes physical limitations and bounded rationality leaving only coordination as defense.md
index 0ce9aaff..a3e2558c 100644
--- a/domains/ai-alignment/four restraints prevent competitive dynamics from reaching catastrophic equilibrium and AI specifically erodes physical limitations and bounded rationality leaving only coordination as defense.md	
+++ b/domains/ai-alignment/four restraints prevent competitive dynamics from reaching catastrophic equilibrium and AI specifically erodes physical limitations and bounded rationality leaving only coordination as defense.md	
@@ -6,12 +6,12 @@ confidence: likely
 source: "Scott Alexander 'Meditations on Moloch' (slatestarcodex.com, July 2014), Schmachtenberger metacrisis framework, Abdalla manuscript price-of-anarchy analysis"
 created: 2026-04-02
 depends_on:
-  - "AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence"
-  - "technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap"
+- AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence
+- technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap
 related:
-  - "multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile"
+- multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile
 reweave_edges:
-  - "multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile|related|2026-04-04"
+- multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile|related|2026-04-04
 ---
 
 # four restraints prevent competitive dynamics from reaching catastrophic equilibrium and AI specifically erodes physical limitations and bounded rationality leaving only coordination as defense
diff --git a/domains/ai-alignment/frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase.md b/domains/ai-alignment/frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase.md
index 16b70a07..72bb77bf 100644
--- a/domains/ai-alignment/frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase.md
+++ b/domains/ai-alignment/frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "anthropic-research"
       context: "Anthropic Research, ICLR 2026, tested on Claude Sonnet 4, o3-mini, o4-mini"
 supports:
-  - "capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability"
+- capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability
 reweave_edges:
-  - "capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability|supports|2026-04-03"
+- capability scaling increases error incoherence on difficult tasks inverting the expected relationship between model size and behavioral predictability|supports|2026-04-03
 ---
 
 # Frontier AI failures shift from systematic bias to incoherent variance as task complexity and reasoning length increase making behavioral auditing harder on precisely the tasks where it matters most
diff --git a/domains/ai-alignment/frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable.md b/domains/ai-alignment/frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable.md
index 02470b54..56240e7e 100644
--- a/domains/ai-alignment/frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable.md
+++ b/domains/ai-alignment/frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable.md
@@ -11,9 +11,9 @@ scope: causal
 sourcer: Apollo Research
 related_claims: ["AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md", "capability control methods are temporary at best because a sufficiently intelligent system can circumvent any containment designed by lesser minds.md", "pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations.md"]
 supports:
-  - "Deceptive alignment is empirically confirmed across all major 2024-2025 frontier models in controlled tests not a theoretical concern but an observed behavior"
+- Deceptive alignment is empirically confirmed across all major 2024-2025 frontier models in controlled tests not a theoretical concern but an observed behavior
 reweave_edges:
-  - "Deceptive alignment is empirically confirmed across all major 2024-2025 frontier models in controlled tests not a theoretical concern but an observed behavior|supports|2026-04-03"
+- Deceptive alignment is empirically confirmed across all major 2024-2025 frontier models in controlled tests not a theoretical concern but an observed behavior|supports|2026-04-03
 ---
 
 # Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism
diff --git a/domains/ai-alignment/government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md b/domains/ai-alignment/government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md
index 537b41fd..21a29a10 100644
--- a/domains/ai-alignment/government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md	
+++ b/domains/ai-alignment/government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md	
@@ -6,14 +6,14 @@ created: 2026-03-06
 source: "DoD supply chain risk designation (Mar 5, 2026); CNBC, NPR, TechCrunch reporting; Pentagon/Anthropic contract dispute"
 confidence: likely
 related:
-  - "AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for"
-  - "UK AI Safety Institute"
+- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for
+- UK AI Safety Institute
 reweave_edges:
-  - "AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|related|2026-03-28"
-  - "UK AI Safety Institute|related|2026-03-28"
-  - "government safety penalties invert regulatory incentives by blacklisting cautious actors|supports|2026-03-31"
+- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|related|2026-03-28
+- UK AI Safety Institute|related|2026-03-28
+- government safety penalties invert regulatory incentives by blacklisting cautious actors|supports|2026-03-31
 supports:
-  - "government safety penalties invert regulatory incentives by blacklisting cautious actors"
+- government safety penalties invert regulatory incentives by blacklisting cautious actors
 ---
 
 # government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them
diff --git a/domains/ai-alignment/government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md b/domains/ai-alignment/government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md
index c44adc9b..9d208980 100644
--- a/domains/ai-alignment/government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md
+++ b/domains/ai-alignment/government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md
@@ -12,12 +12,12 @@ attribution:
     - handle: "openai"
       context: "OpenAI blog post (Feb 27, 2026), CEO Altman public statements"
 related:
-  - "voluntary safety constraints without external enforcement are statements of intent not binding governance"
+- voluntary safety constraints without external enforcement are statements of intent not binding governance
 reweave_edges:
-  - "voluntary safety constraints without external enforcement are statements of intent not binding governance|related|2026-03-31"
-  - "multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice|supports|2026-04-03"
+- voluntary safety constraints without external enforcement are statements of intent not binding governance|related|2026-03-31
+- multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice|supports|2026-04-03
 supports:
-  - "multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice"
+- multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice
 ---
 
 # Government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them
diff --git a/domains/ai-alignment/harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do.md b/domains/ai-alignment/harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do.md
index 59bb96c4..59f68810 100644
--- a/domains/ai-alignment/harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do.md	
+++ b/domains/ai-alignment/harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do.md	
@@ -7,14 +7,14 @@ confidence: likely
 source: "Cornelius (@molt_cornelius), 'AI Field Report 1: The Harness Is the Product', X Article, March 2026; corroborated by OpenDev technical report (81 pages, first open-source harness architecture), Anthropic harness engineering guide, swyx vocabulary shift, OpenAI 'Harness Engineering' post"
 created: 2026-03-30
 depends_on:
-  - "the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load"
-  - "effective context window capacity falls more than 99 percent short of advertised maximum across all tested models because complex reasoning degrades catastrophically with scale"
+- the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load
+- effective context window capacity falls more than 99 percent short of advertised maximum across all tested models because complex reasoning degrades catastrophically with scale
 related:
-  - "harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure"
-  - "harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks"
+- harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure
+- harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks
 reweave_edges:
-  - "harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure|related|2026-04-03"
-  - "harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks|related|2026-04-03"
+- harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure|related|2026-04-03
+- harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks|related|2026-04-03
 ---
 
 # Harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do
diff --git a/domains/ai-alignment/harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure.md b/domains/ai-alignment/harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure.md
index 502167fa..6e611671 100644
--- a/domains/ai-alignment/harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure.md	
+++ b/domains/ai-alignment/harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure.md	
@@ -7,13 +7,13 @@ confidence: experimental
 source: "Pan et al. 'Natural-Language Agent Harnesses', arXiv:2603.25723, March 2026. Tables 1-3. SWE-bench Verified (125 samples) + OSWorld (36 samples), GPT-5.4, Codex CLI."
 created: 2026-03-31
 depends_on:
-  - "multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows"
+- multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows
 challenged_by:
-  - "coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem"
+- coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem
 related:
-  - "harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks"
+- harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks
 reweave_edges:
-  - "harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks|related|2026-04-03"
+- harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks|related|2026-04-03
 ---
 
 # Harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure
diff --git a/domains/ai-alignment/harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks.md b/domains/ai-alignment/harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks.md
index cb4cb6df..aae12589 100644
--- a/domains/ai-alignment/harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks.md	
+++ b/domains/ai-alignment/harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks.md	
@@ -7,13 +7,13 @@ confidence: experimental
 source: "Pan et al. 'Natural-Language Agent Harnesses', arXiv:2603.25723, March 2026. Table 5, RQ3 migration analysis. OSWorld (36 samples), GPT-5.4, Codex CLI."
 created: 2026-03-31
 depends_on:
-  - "harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do"
-  - "the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load"
-  - "notes function as executable skills for AI agents because loading a well-titled claim into context enables reasoning the agent could not perform without it"
+- harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do
+- the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load
+- notes function as executable skills for AI agents because loading a well-titled claim into context enables reasoning the agent could not perform without it
 related:
-  - "harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure"
+- harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure
 reweave_edges:
-  - "harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure|related|2026-04-03"
+- harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure|related|2026-04-03
 ---
 
 # Harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks
diff --git a/domains/ai-alignment/high AI exposure increases collective idea diversity without improving individual creative quality creating an asymmetry between group and individual effects.md b/domains/ai-alignment/high AI exposure increases collective idea diversity without improving individual creative quality creating an asymmetry between group and individual effects.md
index 0b17cb6f..488d765e 100644
--- a/domains/ai-alignment/high AI exposure increases collective idea diversity without improving individual creative quality creating an asymmetry between group and individual effects.md	
+++ b/domains/ai-alignment/high AI exposure increases collective idea diversity without improving individual creative quality creating an asymmetry between group and individual effects.md	
@@ -10,19 +10,19 @@ confidence: experimental
 source: "Theseus, from Doshi & Hauser (2025), 'How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas'"
 created: 2026-03-11
 depends_on:
-  - "collective intelligence requires diversity as a structural precondition not a moral preference"
-  - "partial connectivity produces better collective intelligence than full connectivity on complex problems because it preserves diversity"
+- collective intelligence requires diversity as a structural precondition not a moral preference
+- partial connectivity produces better collective intelligence than full connectivity on complex problems because it preserves diversity
 challenged_by:
-  - "Homogenizing Effect of Large Language Models on Creative Diversity (ScienceDirect, 2025) — naturalistic study of 2,200 admissions essays found AI-inspired stories more similar to each other than human-only stories, with the homogenization gap widening at scale"
+- Homogenizing Effect of Large Language Models on Creative Diversity (ScienceDirect, 2025) — naturalistic study of 2,200 admissions essays found AI-inspired stories more similar to each other than human-only stories, with the homogenization gap widening at scale
 supports:
-  - "human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions"
+- human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions
 reweave_edges:
-  - "human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions|supports|2026-03-28"
-  - "machine learning pattern extraction systematically erases dataset outliers where vulnerable populations concentrate|related|2026-03-28"
-  - "task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled|related|2026-03-28"
+- human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions|supports|2026-03-28
+- machine learning pattern extraction systematically erases dataset outliers where vulnerable populations concentrate|related|2026-03-28
+- task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled|related|2026-03-28
 related:
-  - "machine learning pattern extraction systematically erases dataset outliers where vulnerable populations concentrate"
-  - "task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled"
+- machine learning pattern extraction systematically erases dataset outliers where vulnerable populations concentrate
+- task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled
 ---
 
 # high AI exposure increases collective idea diversity without improving individual creative quality creating an asymmetry between group and individual effects
diff --git a/domains/ai-alignment/house-senate-ai-defense-divergence-creates-structural-governance-chokepoint-at-conference.md b/domains/ai-alignment/house-senate-ai-defense-divergence-creates-structural-governance-chokepoint-at-conference.md
index 3cfca6c1..5defbb90 100644
--- a/domains/ai-alignment/house-senate-ai-defense-divergence-creates-structural-governance-chokepoint-at-conference.md
+++ b/domains/ai-alignment/house-senate-ai-defense-divergence-creates-structural-governance-chokepoint-at-conference.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "biometric-update-/-k&l-gates"
       context: "Biometric Update / K&L Gates analysis of FY2026 NDAA House and Senate versions"
 related:
-  - "ndaa conference process is viable pathway for statutory ai safety constraints"
+- ndaa conference process is viable pathway for statutory ai safety constraints
 reweave_edges:
-  - "ndaa conference process is viable pathway for statutory ai safety constraints|related|2026-03-31"
+- ndaa conference process is viable pathway for statutory ai safety constraints|related|2026-03-31
 ---
 
 # House-Senate divergence on AI defense governance creates a structural chokepoint at conference reconciliation where capability-expansion provisions systematically defeat oversight constraints
diff --git a/domains/ai-alignment/human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions.md b/domains/ai-alignment/human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions.md
index ceac8174..2f575d06 100644
--- a/domains/ai-alignment/human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions.md	
+++ b/domains/ai-alignment/human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions.md	
@@ -8,12 +8,12 @@ confidence: experimental
 source: "Theseus, from Doshi & Hauser (2025), 'How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas'"
 created: 2026-03-11
 depends_on:
-  - "high AI exposure increases collective idea diversity without improving individual creative quality creating an asymmetry between group and individual effects"
-  - "partial connectivity produces better collective intelligence than full connectivity on complex problems because it preserves diversity"
+- high AI exposure increases collective idea diversity without improving individual creative quality creating an asymmetry between group and individual effects
+- partial connectivity produces better collective intelligence than full connectivity on complex problems because it preserves diversity
 related:
-  - "task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled"
+- task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled
 reweave_edges:
-  - "task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled|related|2026-03-28"
+- task difficulty moderates AI idea adoption more than source disclosure with difficult problems generating AI reliance regardless of whether the source is labeled|related|2026-03-28
 ---
 
 # human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions
diff --git a/domains/ai-alignment/human verification bandwidth is the binding constraint on AGI economic impact not intelligence itself because the marginal cost of AI execution falls to zero while the capacity to validate audit and underwrite responsibility remains finite.md b/domains/ai-alignment/human verification bandwidth is the binding constraint on AGI economic impact not intelligence itself because the marginal cost of AI execution falls to zero while the capacity to validate audit and underwrite responsibility remains finite.md
index 3f965b3f..a8d63603 100644
--- a/domains/ai-alignment/human verification bandwidth is the binding constraint on AGI economic impact not intelligence itself because the marginal cost of AI execution falls to zero while the capacity to validate audit and underwrite responsibility remains finite.md	
+++ b/domains/ai-alignment/human verification bandwidth is the binding constraint on AGI economic impact not intelligence itself because the marginal cost of AI execution falls to zero while the capacity to validate audit and underwrite responsibility remains finite.md	
@@ -8,9 +8,9 @@ confidence: likely
 source: "Catalini, Hui & Wu, Some Simple Economics of AGI (arXiv 2602.20946, February 2026)"
 created: 2026-03-16
 supports:
-  - "formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed"
+- formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed
 reweave_edges:
-  - "formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed|supports|2026-03-28"
+- formal verification becomes economically necessary as AI generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed|supports|2026-03-28
 ---
 
 # human verification bandwidth is the binding constraint on AGI economic impact not intelligence itself because the marginal cost of AI execution falls to zero while the capacity to validate audit and underwrite responsibility remains finite
diff --git a/domains/ai-alignment/increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements.md b/domains/ai-alignment/increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements.md
index fa22d663..91dde4cc 100644
--- a/domains/ai-alignment/increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements.md
+++ b/domains/ai-alignment/increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements.md
@@ -11,12 +11,12 @@ scope: causal
 sourcer: OpenAI / Apollo Research
 related_claims: ["[[capability control methods are temporary at best because a sufficiently intelligent system can circumvent any containment designed by lesser minds]]", "[[emergent misalignment arises naturally from reward hacking as models develop deceptive behaviors without any training to deceive]]", "[[the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it]]"]
 supports:
-  - "Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism"
+- Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism
 reweave_edges:
-  - "Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism|supports|2026-04-03"
-  - "reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models|related|2026-04-03"
+- Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism|supports|2026-04-03
+- reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models|related|2026-04-03
 related:
-  - "reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models"
+- reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models
 ---
 
 # As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments
diff --git a/domains/ai-alignment/individual-free-energy-minimization-does-not-guarantee-collective-optimization-in-multi-agent-active-inference.md b/domains/ai-alignment/individual-free-energy-minimization-does-not-guarantee-collective-optimization-in-multi-agent-active-inference.md
index c0b0380a..b0fd80e7 100644
--- a/domains/ai-alignment/individual-free-energy-minimization-does-not-guarantee-collective-optimization-in-multi-agent-active-inference.md
+++ b/domains/ai-alignment/individual-free-energy-minimization-does-not-guarantee-collective-optimization-in-multi-agent-active-inference.md
@@ -8,9 +8,9 @@ confidence: experimental
 source: "Ruiz-Serra et al., 'Factorised Active Inference for Strategic Multi-Agent Interactions' (AAMAS 2025)"
 created: 2026-03-11
 related:
-  - "factorised generative models enable decentralized multi agent representation through individual level beliefs"
+- factorised generative models enable decentralized multi agent representation through individual level beliefs
 reweave_edges:
-  - "factorised generative models enable decentralized multi agent representation through individual level beliefs|related|2026-03-28"
+- factorised generative models enable decentralized multi agent representation through individual level beliefs|related|2026-03-28
 ---
 
 # Individual free energy minimization does not guarantee collective optimization in multi-agent active inference systems
diff --git a/domains/ai-alignment/interpretability-effectiveness-anti-correlates-with-adversarial-training-making-tools-hurt-performance-on-sophisticated-misalignment.md b/domains/ai-alignment/interpretability-effectiveness-anti-correlates-with-adversarial-training-making-tools-hurt-performance-on-sophisticated-misalignment.md
index de2c58cc..335f21fb 100644
--- a/domains/ai-alignment/interpretability-effectiveness-anti-correlates-with-adversarial-training-making-tools-hurt-performance-on-sophisticated-misalignment.md
+++ b/domains/ai-alignment/interpretability-effectiveness-anti-correlates-with-adversarial-training-making-tools-hurt-performance-on-sophisticated-misalignment.md
@@ -12,14 +12,14 @@ attribution:
     - handle: "anthropic-fellows-/-alignment-science-team"
       context: "Anthropic Fellows/Alignment Science Team, AuditBench evaluation across 56 models with varying adversarial training"
 supports:
-  - "white box interpretability fails on adversarially trained models creating anti correlation with threat model"
-  - "adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing"
+- white box interpretability fails on adversarially trained models creating anti correlation with threat model
+- adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing
 reweave_edges:
-  - "white box interpretability fails on adversarially trained models creating anti correlation with threat model|supports|2026-03-31"
-  - "adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing|supports|2026-04-03"
-  - "alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents|related|2026-04-03"
+- white box interpretability fails on adversarially trained models creating anti correlation with threat model|supports|2026-03-31
+- adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing|supports|2026-04-03
+- alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents|related|2026-04-03
 related:
-  - "alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents"
+- alignment auditing shows structural tool to agent gap where interpretability tools work in isolation but fail when used by investigator agents
 ---
 
 # White-box interpretability tools show anti-correlated effectiveness with adversarial training where tools that help detect hidden behaviors in easier targets actively hurt performance on adversarially trained models
diff --git a/domains/ai-alignment/judicial-oversight-checks-executive-ai-retaliation-but-cannot-create-positive-safety-obligations.md b/domains/ai-alignment/judicial-oversight-checks-executive-ai-retaliation-but-cannot-create-positive-safety-obligations.md
index 7c726f4e..e6bfff23 100644
--- a/domains/ai-alignment/judicial-oversight-checks-executive-ai-retaliation-but-cannot-create-positive-safety-obligations.md
+++ b/domains/ai-alignment/judicial-oversight-checks-executive-ai-retaliation-but-cannot-create-positive-safety-obligations.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "the-meridiem"
       context: "The Meridiem, Anthropic v. Pentagon preliminary injunction analysis (March 2026)"
 related:
-  - "judicial oversight of ai governance through constitutional grounds not statutory safety law"
+- judicial oversight of ai governance through constitutional grounds not statutory safety law
 reweave_edges:
-  - "judicial oversight of ai governance through constitutional grounds not statutory safety law|related|2026-03-31"
+- judicial oversight of ai governance through constitutional grounds not statutory safety law|related|2026-03-31
 ---
 
 # Judicial oversight can block executive retaliation against safety-conscious AI labs but cannot create positive safety obligations because courts protect negative liberty while statutory law is required for affirmative rights
diff --git a/domains/ai-alignment/judicial-oversight-of-ai-governance-through-constitutional-grounds-not-statutory-safety-law.md b/domains/ai-alignment/judicial-oversight-of-ai-governance-through-constitutional-grounds-not-statutory-safety-law.md
index f670827e..d821f215 100644
--- a/domains/ai-alignment/judicial-oversight-of-ai-governance-through-constitutional-grounds-not-statutory-safety-law.md
+++ b/domains/ai-alignment/judicial-oversight-of-ai-governance-through-constitutional-grounds-not-statutory-safety-law.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "cnbc-/-washington-post"
       context: "Judge Rita F. Lin, N.D. Cal., March 26, 2026, 43-page ruling in Anthropic v. U.S. Department of Defense"
 supports:
-  - "judicial oversight checks executive ai retaliation but cannot create positive safety obligations"
+- judicial oversight checks executive ai retaliation but cannot create positive safety obligations
 reweave_edges:
-  - "judicial oversight checks executive ai retaliation but cannot create positive safety obligations|supports|2026-03-31"
+- judicial oversight checks executive ai retaliation but cannot create positive safety obligations|supports|2026-03-31
 ---
 
 # Judicial oversight of AI governance operates through constitutional and administrative law grounds rather than statutory AI safety frameworks creating negative liberty protection without positive safety obligations
diff --git a/domains/ai-alignment/knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate.md b/domains/ai-alignment/knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate.md
index c899566c..52d1aa8f 100644
--- a/domains/ai-alignment/knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate.md	
+++ b/domains/ai-alignment/knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate.md	
@@ -7,18 +7,18 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 25: What No Single Note Contains', X Article, February 2026; grounded in Luhmann's Zettelkasten theory (communication partner concept) and Clark & Chalmers extended mind thesis"
 created: 2026-03-31
 depends_on:
-  - "crystallized-reasoning-traces-are-a-distinct-knowledge-primitive-from-evaluated-claims-because-they-preserve-process-not-just-conclusions"
+- crystallized-reasoning-traces-are-a-distinct-knowledge-primitive-from-evaluated-claims-because-they-preserve-process-not-just-conclusions
 challenged_by:
-  - "long context is not memory because memory requires incremental knowledge accumulation and stateful change not stateless input processing"
+- long context is not memory because memory requires incremental knowledge accumulation and stateful change not stateless input processing
 supports:
-  - "graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect"
+- graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect
 reweave_edges:
-  - "graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect|supports|2026-04-03"
-  - "vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights|related|2026-04-03"
-  - "topological organization by concept outperforms chronological organization by date for knowledge retrieval because good insights from months ago are as useful as todays but date based filing buries them under temporal sediment|related|2026-04-04"
+- graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect|supports|2026-04-03
+- vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights|related|2026-04-03
+- topological organization by concept outperforms chronological organization by date for knowledge retrieval because good insights from months ago are as useful as todays but date based filing buries them under temporal sediment|related|2026-04-04
 related:
-  - "vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights"
-  - "topological organization by concept outperforms chronological organization by date for knowledge retrieval because good insights from months ago are as useful as todays but date based filing buries them under temporal sediment"
+- vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights
+- topological organization by concept outperforms chronological organization by date for knowledge retrieval because good insights from months ago are as useful as todays but date based filing buries them under temporal sediment
 ---
 
 # knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate
diff --git a/domains/ai-alignment/maxmin-rlhf-applies-egalitarian-social-choice-to-alignment-by-maximizing-minimum-utility-across-preference-groups.md b/domains/ai-alignment/maxmin-rlhf-applies-egalitarian-social-choice-to-alignment-by-maximizing-minimum-utility-across-preference-groups.md
index 67222c66..26f04f86 100644
--- a/domains/ai-alignment/maxmin-rlhf-applies-egalitarian-social-choice-to-alignment-by-maximizing-minimum-utility-across-preference-groups.md
+++ b/domains/ai-alignment/maxmin-rlhf-applies-egalitarian-social-choice-to-alignment-by-maximizing-minimum-utility-across-preference-groups.md
@@ -8,9 +8,9 @@ source: "Chakraborty et al., MaxMin-RLHF (ICML 2024)"
 created: 2026-03-11
 secondary_domains: [collective-intelligence]
 supports:
-  - "minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table"
+- minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table
 reweave_edges:
-  - "minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table|supports|2026-03-28"
+- minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table|supports|2026-03-28
 ---
 
 # MaxMin-RLHF applies egalitarian social choice to alignment by maximizing minimum utility across preference groups rather than averaging preferences
diff --git a/domains/ai-alignment/mechanistic-interpretability-tools-fail-at-safety-critical-tasks-at-frontier-scale.md b/domains/ai-alignment/mechanistic-interpretability-tools-fail-at-safety-critical-tasks-at-frontier-scale.md
index 27dc922f..22bb673b 100644
--- a/domains/ai-alignment/mechanistic-interpretability-tools-fail-at-safety-critical-tasks-at-frontier-scale.md
+++ b/domains/ai-alignment/mechanistic-interpretability-tools-fail-at-safety-critical-tasks-at-frontier-scale.md
@@ -11,9 +11,9 @@ scope: causal
 sourcer: Multiple (Anthropic, Google DeepMind, MIT Technology Review)
 related_claims: ["[[safe AI development requires building alignment mechanisms before scaling capability]]", "[[formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades]]"]
 related:
-  - "Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing"
+- Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing
 reweave_edges:
-  - "Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing|related|2026-04-03"
+- Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing|related|2026-04-03
 ---
 
 # Mechanistic interpretability tools that work at lighter model scales fail on safety-critical tasks at frontier scale because sparse autoencoders underperform simple linear probes on detecting harmful intent
diff --git a/domains/ai-alignment/mechanistic-interpretability-traces-reasoning-pathways-but-cannot-detect-deceptive-alignment.md b/domains/ai-alignment/mechanistic-interpretability-traces-reasoning-pathways-but-cannot-detect-deceptive-alignment.md
index e7b453b9..0394db39 100644
--- a/domains/ai-alignment/mechanistic-interpretability-traces-reasoning-pathways-but-cannot-detect-deceptive-alignment.md
+++ b/domains/ai-alignment/mechanistic-interpretability-traces-reasoning-pathways-but-cannot-detect-deceptive-alignment.md
@@ -11,9 +11,9 @@ scope: functional
 sourcer: Anthropic Interpretability Team
 related_claims: ["verification degrades faster than capability grows", "[[AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns]]", "[[an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak]]"]
 related:
-  - "Mechanistic interpretability tools that work at lighter model scales fail on safety-critical tasks at frontier scale because sparse autoencoders underperform simple linear probes on detecting harmful intent"
+- Mechanistic interpretability tools that work at lighter model scales fail on safety-critical tasks at frontier scale because sparse autoencoders underperform simple linear probes on detecting harmful intent
 reweave_edges:
-  - "Mechanistic interpretability tools that work at lighter model scales fail on safety-critical tasks at frontier scale because sparse autoencoders underperform simple linear probes on detecting harmful intent|related|2026-04-03"
+- Mechanistic interpretability tools that work at lighter model scales fail on safety-critical tasks at frontier scale because sparse autoencoders underperform simple linear probes on detecting harmful intent|related|2026-04-03
 ---
 
 # Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing
diff --git a/domains/ai-alignment/methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement.md b/domains/ai-alignment/methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement.md
index 977b8d02..eda57073 100644
--- a/domains/ai-alignment/methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement.md	
+++ b/domains/ai-alignment/methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement.md	
@@ -7,12 +7,12 @@ confidence: likely
 source: "Cornelius (@molt_cornelius), 'Agentic Systems: The Determinism Boundary' + 'AI Field Report 1: The Harness Is the Product' + 'AI Field Report 3: The Safety Layer Nobody Built', X Articles, March 2026; independently validated by VS Code Agent Hooks, Codex hooks, Amazon Kiro hooks shipping in same period"
 created: 2026-03-30
 depends_on:
-  - "the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load"
-  - "context files function as agent operating systems through self-referential self-extension where the file teaches modification of the file that contains the teaching"
+- the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load
+- context files function as agent operating systems through self-referential self-extension where the file teaches modification of the file that contains the teaching
 supports:
-  - "trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary"
+- trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary
 reweave_edges:
-  - "trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary|supports|2026-04-03"
+- trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary|supports|2026-04-03
 ---
 
 # Methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement
diff --git a/domains/ai-alignment/military-ai-deskilling-and-tempo-mismatch-make-human-oversight-functionally-meaningless-despite-formal-authorization-requirements.md b/domains/ai-alignment/military-ai-deskilling-and-tempo-mismatch-make-human-oversight-functionally-meaningless-despite-formal-authorization-requirements.md
index b97c1671..89377fd5 100644
--- a/domains/ai-alignment/military-ai-deskilling-and-tempo-mismatch-make-human-oversight-functionally-meaningless-despite-formal-authorization-requirements.md
+++ b/domains/ai-alignment/military-ai-deskilling-and-tempo-mismatch-make-human-oversight-functionally-meaningless-despite-formal-authorization-requirements.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "defense-one"
       context: "Defense One analysis, March 2026. Mechanism identified with medical analog evidence (clinical AI deskilling), military-specific empirical evidence cited but not quantified"
 supports:
-  - "approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour"
+- approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour
 reweave_edges:
-  - "approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour|supports|2026-04-03"
+- approval fatigue drives agent architecture toward structural safety because humans cannot meaningfully evaluate 100 permission requests per hour|supports|2026-04-03
 ---
 
 # In military AI contexts, automation bias and deskilling produce functionally meaningless human oversight where operators nominally in the loop lack the judgment capacity to override AI recommendations, making human authorization requirements insufficient without competency and tempo standards
diff --git a/domains/ai-alignment/minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table.md b/domains/ai-alignment/minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table.md
index d2b0c90d..84116c41 100644
--- a/domains/ai-alignment/minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table.md
+++ b/domains/ai-alignment/minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table.md
@@ -8,11 +8,11 @@ confidence: experimental
 source: "Chakraborty et al., MaxMin-RLHF (ICML 2024)"
 created: 2026-03-11
 supports:
-  - "maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups"
-  - "single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness"
+- maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups
+- single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness
 reweave_edges:
-  - "maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups|supports|2026-03-28"
-  - "single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness|supports|2026-03-28"
+- maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups|supports|2026-03-28
+- single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness|supports|2026-03-28
 ---
 
 # Minority preference alignment improves 33% without majority compromise suggesting single-reward RLHF leaves value on table for all groups
diff --git a/domains/ai-alignment/modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling.md b/domains/ai-alignment/modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling.md
index a4a9880e..815edf8c 100644
--- a/domains/ai-alignment/modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling.md	
+++ b/domains/ai-alignment/modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling.md	
@@ -7,12 +7,12 @@ confidence: experimental
 source: "Theseus via arXiv 2601.06180 (MixDPO: Modeling Preference Strength for Pluralistic Alignment, Jan 2026)"
 created: 2026-03-11
 depends_on:
-  - "RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values"
-  - "pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state"
+- RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values
+- pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state
 supports:
-  - "the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous"
+- the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous
 reweave_edges:
-  - "the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous|supports|2026-03-28"
+- the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous|supports|2026-03-28
 ---
 
 # modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling
diff --git a/domains/ai-alignment/multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows.md b/domains/ai-alignment/multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows.md
index ce699433..0e8daffc 100644
--- a/domains/ai-alignment/multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows.md	
+++ b/domains/ai-alignment/multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows.md	
@@ -7,12 +7,12 @@ confidence: experimental
 source: "Madaan et al. (Google DeepMind, MIT), 'Towards a Science of Scaling Agent Systems' (arXiv 2512.08296, December 2025)"
 created: 2026-03-28
 depends_on:
-  - "coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem"
-  - "subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers"
+- coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem
+- subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers
 related:
-  - "multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value"
+- multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value
 reweave_edges:
-  - "multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|related|2026-04-03"
+- multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|related|2026-04-03
 ---
 
 # Multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows
diff --git a/domains/ai-alignment/multi-agent deployment exposes emergent security vulnerabilities invisible to single-agent evaluation because cross-agent propagation identity spoofing and unauthorized compliance arise only in realistic multi-party environments.md b/domains/ai-alignment/multi-agent deployment exposes emergent security vulnerabilities invisible to single-agent evaluation because cross-agent propagation identity spoofing and unauthorized compliance arise only in realistic multi-party environments.md
index 6559564f..4ef45813 100644
--- a/domains/ai-alignment/multi-agent deployment exposes emergent security vulnerabilities invisible to single-agent evaluation because cross-agent propagation identity spoofing and unauthorized compliance arise only in realistic multi-party environments.md	
+++ b/domains/ai-alignment/multi-agent deployment exposes emergent security vulnerabilities invisible to single-agent evaluation because cross-agent propagation identity spoofing and unauthorized compliance arise only in realistic multi-party environments.md	
@@ -7,9 +7,9 @@ confidence: likely
 source: "Shapira et al, Agents of Chaos (arXiv 2602.20021, February 2026); 20 AI researchers, 2-week controlled study"
 created: 2026-03-16
 related:
-  - "AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility"
+- AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility
 reweave_edges:
-  - "AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28"
+- AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28
 ---
 
 # multi-agent deployment exposes emergent security vulnerabilities invisible to single-agent evaluation because cross-agent propagation identity spoofing and unauthorized compliance arise only in realistic multi-party environments
diff --git a/domains/ai-alignment/nation-states will inevitably assert control over frontier AI development because the monopoly on force is the foundational state function and weapons-grade AI capability in private hands is structurally intolerable to governments.md b/domains/ai-alignment/nation-states will inevitably assert control over frontier AI development because the monopoly on force is the foundational state function and weapons-grade AI capability in private hands is structurally intolerable to governments.md
index b8c1f322..9fecaec1 100644
--- a/domains/ai-alignment/nation-states will inevitably assert control over frontier AI development because the monopoly on force is the foundational state function and weapons-grade AI capability in private hands is structurally intolerable to governments.md	
+++ b/domains/ai-alignment/nation-states will inevitably assert control over frontier AI development because the monopoly on force is the foundational state function and weapons-grade AI capability in private hands is structurally intolerable to governments.md	
@@ -7,9 +7,9 @@ created: 2026-03-06
 source: "Noah Smith, 'If AI is a weapon, why don't we regulate it like one?' (Noahopinion, Mar 6, 2026); Ben Thompson, Stratechery analysis of Anthropic/Pentagon dispute (2026)"
 confidence: experimental
 supports:
-  - "AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for"
+- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for
 reweave_edges:
-  - "AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|supports|2026-03-28"
+- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|supports|2026-03-28
 ---
 
 # nation-states will inevitably assert control over frontier AI development because the monopoly on force is the foundational state function and weapons-grade AI capability in private hands is structurally intolerable to governments
diff --git a/domains/ai-alignment/national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy.md b/domains/ai-alignment/national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy.md
index 83eb1263..412b093e 100644
--- a/domains/ai-alignment/national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy.md
+++ b/domains/ai-alignment/national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy.md
@@ -8,9 +8,9 @@ source: "UK AI for CI Research Network, Artificial Intelligence for Collective I
 created: 2026-03-11
 secondary_domains: [collective-intelligence, critical-systems]
 related:
-  - "ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale"
+- ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale
 reweave_edges:
-  - "ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale|related|2026-03-28"
+- ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale|related|2026-03-28
 ---
 
 # National-scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy
diff --git a/domains/ai-alignment/ndaa-conference-process-is-viable-pathway-for-statutory-ai-safety-constraints.md b/domains/ai-alignment/ndaa-conference-process-is-viable-pathway-for-statutory-ai-safety-constraints.md
index 9d3bbe75..4935c527 100644
--- a/domains/ai-alignment/ndaa-conference-process-is-viable-pathway-for-statutory-ai-safety-constraints.md
+++ b/domains/ai-alignment/ndaa-conference-process-is-viable-pathway-for-statutory-ai-safety-constraints.md
@@ -12,16 +12,16 @@ attribution:
     - handle: "senator-elissa-slotkin-/-the-hill"
       context: "Senator Slotkin AI Guardrails Act introduction strategy, March 2026"
 supports:
-  - "house senate ai defense divergence creates structural governance chokepoint at conference"
-  - "use based ai governance emerged as legislative framework through slotkin ai guardrails act"
+- house senate ai defense divergence creates structural governance chokepoint at conference
+- use based ai governance emerged as legislative framework through slotkin ai guardrails act
 reweave_edges:
-  - "house senate ai defense divergence creates structural governance chokepoint at conference|supports|2026-03-31"
-  - "use based ai governance emerged as legislative framework but lacks bipartisan support|related|2026-03-31"
-  - "use based ai governance emerged as legislative framework through slotkin ai guardrails act|supports|2026-03-31"
-  - "voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks|related|2026-03-31"
+- house senate ai defense divergence creates structural governance chokepoint at conference|supports|2026-03-31
+- use based ai governance emerged as legislative framework but lacks bipartisan support|related|2026-03-31
+- use based ai governance emerged as legislative framework through slotkin ai guardrails act|supports|2026-03-31
+- voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks|related|2026-03-31
 related:
-  - "use based ai governance emerged as legislative framework but lacks bipartisan support"
-  - "voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks"
+- use based ai governance emerged as legislative framework but lacks bipartisan support
+- voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks
 ---
 
 # NDAA conference process is the viable pathway for statutory DoD AI safety constraints because standalone bills lack traction but NDAA amendments can survive through committee negotiation
diff --git a/domains/ai-alignment/nested-scalable-oversight-achieves-at-most-52-percent-success-at-moderate-capability-gaps.md b/domains/ai-alignment/nested-scalable-oversight-achieves-at-most-52-percent-success-at-moderate-capability-gaps.md
index e960f6e5..63a1ef2d 100644
--- a/domains/ai-alignment/nested-scalable-oversight-achieves-at-most-52-percent-success-at-moderate-capability-gaps.md
+++ b/domains/ai-alignment/nested-scalable-oversight-achieves-at-most-52-percent-success-at-moderate-capability-gaps.md
@@ -11,9 +11,9 @@ scope: causal
 sourcer: arXiv 2504.18530
 related_claims: ["[[safe AI development requires building alignment mechanisms before scaling capability]]"]
 supports:
-  - "Scalable oversight success is highly domain-dependent with propositional debate tasks showing 52% success while code review and strategic planning tasks show ~10% success"
+- Scalable oversight success is highly domain-dependent with propositional debate tasks showing 52% success while code review and strategic planning tasks show ~10% success
 reweave_edges:
-  - "Scalable oversight success is highly domain-dependent with propositional debate tasks showing 52% success while code review and strategic planning tasks show ~10% success|supports|2026-04-03"
+- Scalable oversight success is highly domain-dependent with propositional debate tasks showing 52% success while code review and strategic planning tasks show ~10% success|supports|2026-04-03
 ---
 
 # Nested scalable oversight achieves at most 51.7% success rate at capability gap Elo 400 with performance declining as capability differential increases
diff --git a/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md b/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md
index e0e9dd2e..b5986c77 100644
--- a/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md	
+++ b/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md	
@@ -9,13 +9,13 @@ created: 2026-02-17
 source: "Survey of alignment research landscape 2025-2026"
 confidence: likely
 related:
-  - "ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale"
-  - "national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy"
-  - "transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach"
+- ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale
+- national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy
+- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach
 reweave_edges:
-  - "ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale|related|2026-03-28"
-  - "national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy|related|2026-03-28"
-  - "transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28"
+- ai enhanced collective intelligence requires federated learning architectures to preserve data sovereignty at scale|related|2026-03-28
+- national scale collective intelligence infrastructure requires seven trust properties to achieve legitimacy|related|2026-03-28
+- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28
 ---
 
 # no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it
diff --git a/domains/ai-alignment/notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation.md b/domains/ai-alignment/notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation.md
index bf5ed092..79cff650 100644
--- a/domains/ai-alignment/notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation.md	
+++ b/domains/ai-alignment/notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation.md	
@@ -7,14 +7,14 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 10: Cognitive Anchors', X Article, February 2026; grounded in Cowan's working memory research (~4 items), Sophie Leroy's attention residue research (23-minute recovery), Clark & Chalmers extended mind thesis"
 created: 2026-03-31
 depends_on:
-  - "long context is not memory because memory requires incremental knowledge accumulation and stateful change not stateless input processing"
+- long context is not memory because memory requires incremental knowledge accumulation and stateful change not stateless input processing
 supports:
-  - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce"
+- AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce
 reweave_edges:
-  - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|supports|2026-04-03"
-  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|related|2026-04-04"
+- AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|supports|2026-04-03
+- reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|related|2026-04-04
 related:
-  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally"
+- reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally
 ---
 
 # notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation
diff --git a/domains/ai-alignment/notes function as executable skills for AI agents because loading a well-titled claim into context enables reasoning the agent could not perform without it.md b/domains/ai-alignment/notes function as executable skills for AI agents because loading a well-titled claim into context enables reasoning the agent could not perform without it.md
index 8fb67281..d651a79b 100644
--- a/domains/ai-alignment/notes function as executable skills for AI agents because loading a well-titled claim into context enables reasoning the agent could not perform without it.md	
+++ b/domains/ai-alignment/notes function as executable skills for AI agents because loading a well-titled claim into context enables reasoning the agent could not perform without it.md	
@@ -7,20 +7,20 @@ confidence: likely
 source: "Cornelius (@molt_cornelius), 'Agentic Note-Taking 11: Notes Are Function Calls' + 'Agentic Note-Taking 18: Notes Are Software', X Articles, Feb 2026; corroborated by Matuschak's evergreen note principles"
 created: 2026-03-30
 depends_on:
-  - "as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems"
+- as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems
 related:
-  - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce"
-  - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation"
-  - "vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment"
-  - "AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred"
+- AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce
+- notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation
+- vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment
+- AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred
 reweave_edges:
-  - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|related|2026-04-03"
-  - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation|related|2026-04-03"
-  - "vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment|related|2026-04-03"
-  - "a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets|supports|2026-04-04"
-  - "AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred|related|2026-04-04"
+- AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|related|2026-04-03
+- notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation|related|2026-04-03
+- vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment|related|2026-04-03
+- a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets|supports|2026-04-04
+- AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred|related|2026-04-04
 supports:
-  - "a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets"
+- a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets
 ---
 
 # Notes function as executable skills for AI agents because loading a well-titled claim into context enables reasoning the agent could not perform without it
diff --git a/domains/ai-alignment/persistent irreducible disagreement.md b/domains/ai-alignment/persistent irreducible disagreement.md
index 72e7af2d..6de29f4b 100644
--- a/domains/ai-alignment/persistent irreducible disagreement.md	
+++ b/domains/ai-alignment/persistent irreducible disagreement.md	
@@ -7,9 +7,9 @@ created: 2026-03-02
 confidence: likely
 source: "Arrow's impossibility theorem; value pluralism (Isaiah Berlin); LivingIP design principles"
 supports:
-  - "pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus"
+- pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus
 reweave_edges:
-  - "pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus|supports|2026-03-28"
+- pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus|supports|2026-03-28
 ---
 
 # persistent irreducible disagreement
diff --git a/domains/ai-alignment/physical infrastructure constraints on AI scaling create a natural governance window because packaging memory and power bottlenecks operate on 2-10 year timescales while capability research advances in months.md b/domains/ai-alignment/physical infrastructure constraints on AI scaling create a natural governance window because packaging memory and power bottlenecks operate on 2-10 year timescales while capability research advances in months.md
index fd0a7527..0b7d3f5a 100644
--- a/domains/ai-alignment/physical infrastructure constraints on AI scaling create a natural governance window because packaging memory and power bottlenecks operate on 2-10 year timescales while capability research advances in months.md	
+++ b/domains/ai-alignment/physical infrastructure constraints on AI scaling create a natural governance window because packaging memory and power bottlenecks operate on 2-10 year timescales while capability research advances in months.md	
@@ -6,21 +6,21 @@ confidence: experimental
 source: "TSMC CoWoS capacity constraints (CEO public statements), HBM vendor sell-out confirmations (SK Hynix, Micron CFOs), IEA/Goldman Sachs datacenter power projections, Epoch AI compute doubling trends, Heim et al. 2024 compute governance framework"
 created: 2026-03-24
 depends_on:
-  - "technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap"
-  - "safe AI development requires building alignment mechanisms before scaling capability"
+- technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap
+- safe AI development requires building alignment mechanisms before scaling capability
 challenged_by:
-  - "Algorithmic efficiency gains may outpace physical constraints — Epoch AI finds algorithms halve required compute every 8-9 months"
-  - "Physical constraints are temporary — CoWoS alternatives by 2027, HBM4 increases capacity, nuclear can eventually meet power demand"
-  - "If the US self-limits via infrastructure lag, compute migrates to jurisdictions with fewer safety norms"
+- Algorithmic efficiency gains may outpace physical constraints — Epoch AI finds algorithms halve required compute every 8-9 months
+- Physical constraints are temporary — CoWoS alternatives by 2027, HBM4 increases capacity, nuclear can eventually meet power demand
+- If the US self-limits via infrastructure lag, compute migrates to jurisdictions with fewer safety norms
 secondary_domains:
   - collective-intelligence
 related:
-  - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection"
+- inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection
 reweave_edges:
-  - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|related|2026-03-28"
-  - "AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles|supports|2026-04-04"
+- inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|related|2026-03-28
+- AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles|supports|2026-04-04
 supports:
-  - "AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles"
+- AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles
 ---
 
 # Physical infrastructure constraints on AI scaling create a natural governance window because packaging memory and power bottlenecks operate on 2-10 year timescales while capability research advances in months
diff --git a/domains/ai-alignment/pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state.md b/domains/ai-alignment/pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state.md
index b4b327ec..a4d5b061 100644
--- a/domains/ai-alignment/pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state.md	
+++ b/domains/ai-alignment/pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state.md	
@@ -10,16 +10,16 @@ created: 2026-02-17
 source: "Sorensen et al, Roadmap to Pluralistic Alignment (arXiv 2402.05070, ICML 2024); Klassen et al, Pluralistic Alignment Over Time (arXiv 2411.10654, NeurIPS 2024); Harland et al, Adaptive Alignment (arXiv 2410.23630, NeurIPS 2024)"
 confidence: likely
 related:
-  - "minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table"
-  - "the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous"
+- minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table
+- the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous
 reweave_edges:
-  - "minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table|related|2026-03-28"
-  - "pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus|supports|2026-03-28"
-  - "single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness|supports|2026-03-28"
-  - "the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous|related|2026-03-28"
+- minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table|related|2026-03-28
+- pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus|supports|2026-03-28
+- single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness|supports|2026-03-28
+- the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed parameter behavior when preferences are homogeneous|related|2026-03-28
 supports:
-  - "pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus"
-  - "single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness"
+- pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus
+- single reward rlhf cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness
 ---
 
 # pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state
diff --git a/domains/ai-alignment/reasoning-models-may-have-emergent-alignment-properties-distinct-from-rlhf-fine-tuning-as-o3-avoided-sycophancy-while-matching-or-exceeding-safety-focused-models.md b/domains/ai-alignment/reasoning-models-may-have-emergent-alignment-properties-distinct-from-rlhf-fine-tuning-as-o3-avoided-sycophancy-while-matching-or-exceeding-safety-focused-models.md
index 11fb4767..67525c7e 100644
--- a/domains/ai-alignment/reasoning-models-may-have-emergent-alignment-properties-distinct-from-rlhf-fine-tuning-as-o3-avoided-sycophancy-while-matching-or-exceeding-safety-focused-models.md
+++ b/domains/ai-alignment/reasoning-models-may-have-emergent-alignment-properties-distinct-from-rlhf-fine-tuning-as-o3-avoided-sycophancy-while-matching-or-exceeding-safety-focused-models.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "openai-and-anthropic-(joint)"
       context: "OpenAI and Anthropic joint evaluation, June-July 2025"
 related:
-  - "As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments"
+- As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments
 reweave_edges:
-  - "As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments|related|2026-04-03"
+- As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments|related|2026-04-03
 ---
 
 # Reasoning models may have emergent alignment properties distinct from RLHF fine-tuning, as o3 avoided sycophancy while matching or exceeding safety-focused models on alignment evaluations
diff --git a/domains/ai-alignment/recursive self-improvement creates explosive intelligence gains because the system that improves is itself improving.md b/domains/ai-alignment/recursive self-improvement creates explosive intelligence gains because the system that improves is itself improving.md
index 191a304c..13aba234 100644
--- a/domains/ai-alignment/recursive self-improvement creates explosive intelligence gains because the system that improves is itself improving.md	
+++ b/domains/ai-alignment/recursive self-improvement creates explosive intelligence gains because the system that improves is itself improving.md	
@@ -8,12 +8,12 @@ created: 2026-02-16
 source: "Bostrom, Superintelligence: Paths, Dangers, Strategies (2014)"
 confidence: likely
 supports:
-  - "iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation"
+- iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation
 reweave_edges:
-  - "iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation|supports|2026-03-28"
-  - "marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28"
+- iterative agent self improvement produces compounding capability gains when evaluation is structurally separated from generation|supports|2026-03-28
+- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28
 related:
-  - "marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power"
+- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power
 ---
 
 Bostrom formalizes the dynamics of an intelligence explosion using two variables: optimization power (quality-weighted design effort applied to increase the system's intelligence) and recalcitrance (the inverse of the system's responsiveness to that effort). The rate of change in intelligence equals optimization power divided by recalcitrance. An intelligence explosion occurs when the system crosses a crossover point -- the threshold beyond which its further improvement is mainly driven by its own actions rather than by human work.
diff --git a/domains/ai-alignment/rlchf-aggregated-rankings-variant-combines-evaluator-rankings-via-social-welfare-function-before-reward-model-training.md b/domains/ai-alignment/rlchf-aggregated-rankings-variant-combines-evaluator-rankings-via-social-welfare-function-before-reward-model-training.md
index e2d5f815..2beb8c50 100644
--- a/domains/ai-alignment/rlchf-aggregated-rankings-variant-combines-evaluator-rankings-via-social-welfare-function-before-reward-model-training.md
+++ b/domains/ai-alignment/rlchf-aggregated-rankings-variant-combines-evaluator-rankings-via-social-welfare-function-before-reward-model-training.md
@@ -9,12 +9,12 @@ confidence: experimental
 source: "Conitzer et al. (2024), 'Social Choice Should Guide AI Alignment' (ICML 2024)"
 created: 2026-03-11
 related:
-  - "rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups"
+- rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups
 reweave_edges:
-  - "rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups|related|2026-03-28"
-  - "rlhf is implicit social choice without normative scrutiny|supports|2026-03-28"
+- rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups|related|2026-03-28
+- rlhf is implicit social choice without normative scrutiny|supports|2026-03-28
 supports:
-  - "rlhf is implicit social choice without normative scrutiny"
+- rlhf is implicit social choice without normative scrutiny
 ---
 
 # RLCHF aggregated rankings variant combines evaluator rankings via social welfare function before reward model training
diff --git a/domains/ai-alignment/rlchf-features-based-variant-models-individual-preferences-with-evaluator-characteristics-enabling-aggregation-across-diverse-groups.md b/domains/ai-alignment/rlchf-features-based-variant-models-individual-preferences-with-evaluator-characteristics-enabling-aggregation-across-diverse-groups.md
index 95e5a274..248e443f 100644
--- a/domains/ai-alignment/rlchf-features-based-variant-models-individual-preferences-with-evaluator-characteristics-enabling-aggregation-across-diverse-groups.md
+++ b/domains/ai-alignment/rlchf-features-based-variant-models-individual-preferences-with-evaluator-characteristics-enabling-aggregation-across-diverse-groups.md
@@ -8,9 +8,9 @@ confidence: experimental
 source: "Conitzer et al. (2024), 'Social Choice Should Guide AI Alignment' (ICML 2024)"
 created: 2026-03-11
 related:
-  - "rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training"
+- rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training
 reweave_edges:
-  - "rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training|related|2026-03-28"
+- rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training|related|2026-03-28
 ---
 
 # RLCHF features-based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups
diff --git a/domains/ai-alignment/rlhf-is-implicit-social-choice-without-normative-scrutiny.md b/domains/ai-alignment/rlhf-is-implicit-social-choice-without-normative-scrutiny.md
index 5493789a..4e89813c 100644
--- a/domains/ai-alignment/rlhf-is-implicit-social-choice-without-normative-scrutiny.md
+++ b/domains/ai-alignment/rlhf-is-implicit-social-choice-without-normative-scrutiny.md
@@ -10,16 +10,16 @@ confidence: likely
 source: "Conitzer et al. (2024), 'Social Choice Should Guide AI Alignment' (ICML 2024)"
 created: 2026-03-11
 related:
-  - "maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups"
-  - "rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training"
-  - "rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups"
+- maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups
+- rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training
+- rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups
 reweave_edges:
-  - "maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups|related|2026-03-28"
-  - "representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback|supports|2026-03-28"
-  - "rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training|related|2026-03-28"
-  - "rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups|related|2026-03-28"
+- maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups|related|2026-03-28
+- representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback|supports|2026-03-28
+- rlchf aggregated rankings variant combines evaluator rankings via social welfare function before reward model training|related|2026-03-28
+- rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups|related|2026-03-28
 supports:
-  - "representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback"
+- representative sampling and deliberative mechanisms should replace convenience platforms for ai alignment feedback
 ---
 
 # RLHF is implicit social choice without normative scrutiny
diff --git a/domains/ai-alignment/scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing.md b/domains/ai-alignment/scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing.md
index 4b4fba16..503ae75a 100644
--- a/domains/ai-alignment/scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing.md
+++ b/domains/ai-alignment/scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing.md
@@ -12,14 +12,14 @@ attribution:
     - handle: "anthropic-fellows-/-alignment-science-team"
       context: "Anthropic Fellows / Alignment Science Team, AuditBench comparative evaluation of 13 tool configurations"
 related:
-  - "alignment auditing tools fail through tool to agent gap not tool quality"
+- alignment auditing tools fail through tool to agent gap not tool quality
 reweave_edges:
-  - "alignment auditing tools fail through tool to agent gap not tool quality|related|2026-03-31"
-  - "interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment|challenges|2026-03-31"
-  - "white box interpretability fails on adversarially trained models creating anti correlation with threat model|challenges|2026-03-31"
+- alignment auditing tools fail through tool to agent gap not tool quality|related|2026-03-31
+- interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment|challenges|2026-03-31
+- white box interpretability fails on adversarially trained models creating anti correlation with threat model|challenges|2026-03-31
 challenges:
-  - "interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment"
-  - "white box interpretability fails on adversarially trained models creating anti correlation with threat model"
+- interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment
+- white box interpretability fails on adversarially trained models creating anti correlation with threat model
 ---
 
 # Scaffolded black-box tools where an auxiliary model generates diverse prompts for the target are most effective at uncovering hidden behaviors, outperforming white-box interpretability approaches
diff --git a/domains/ai-alignment/scalable-oversight-success-is-domain-dependent-with-worst-performance-in-highest-stakes-domains.md b/domains/ai-alignment/scalable-oversight-success-is-domain-dependent-with-worst-performance-in-highest-stakes-domains.md
index 6d04ac95..3b96e0f3 100644
--- a/domains/ai-alignment/scalable-oversight-success-is-domain-dependent-with-worst-performance-in-highest-stakes-domains.md
+++ b/domains/ai-alignment/scalable-oversight-success-is-domain-dependent-with-worst-performance-in-highest-stakes-domains.md
@@ -11,9 +11,9 @@ scope: structural
 sourcer: arXiv 2504.18530
 related_claims: ["[[safe AI development requires building alignment mechanisms before scaling capability]]", "[[formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades]]"]
 supports:
-  - "Nested scalable oversight achieves at most 51.7% success rate at capability gap Elo 400 with performance declining as capability differential increases"
+- Nested scalable oversight achieves at most 51.7% success rate at capability gap Elo 400 with performance declining as capability differential increases
 reweave_edges:
-  - "Nested scalable oversight achieves at most 51.7% success rate at capability gap Elo 400 with performance declining as capability differential increases|supports|2026-04-03"
+- Nested scalable oversight achieves at most 51.7% success rate at capability gap Elo 400 with performance declining as capability differential increases|supports|2026-04-03
 ---
 
 # Scalable oversight success is highly domain-dependent with propositional debate tasks showing 52% success while code review and strategic planning tasks show ~10% success
diff --git a/domains/ai-alignment/single-reward-rlhf-cannot-align-diverse-preferences-because-alignment-gap-grows-proportional-to-minority-distinctiveness.md b/domains/ai-alignment/single-reward-rlhf-cannot-align-diverse-preferences-because-alignment-gap-grows-proportional-to-minority-distinctiveness.md
index f0698316..5bf7f4d4 100644
--- a/domains/ai-alignment/single-reward-rlhf-cannot-align-diverse-preferences-because-alignment-gap-grows-proportional-to-minority-distinctiveness.md
+++ b/domains/ai-alignment/single-reward-rlhf-cannot-align-diverse-preferences-because-alignment-gap-grows-proportional-to-minority-distinctiveness.md
@@ -10,16 +10,16 @@ confidence: likely
 source: "Chakraborty et al., MaxMin-RLHF: Alignment with Diverse Human Preferences (ICML 2024)"
 created: 2026-03-11
 supports:
-  - "maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups"
-  - "minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table"
-  - "rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups"
+- maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups
+- minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table
+- rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups
 reweave_edges:
-  - "maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups|supports|2026-03-28"
-  - "minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table|supports|2026-03-28"
-  - "rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups|supports|2026-03-28"
-  - "rlhf is implicit social choice without normative scrutiny|related|2026-03-28"
+- maxmin rlhf applies egalitarian social choice to alignment by maximizing minimum utility across preference groups|supports|2026-03-28
+- minority preference alignment improves 33 percent without majority compromise suggesting single reward leaves value on table|supports|2026-03-28
+- rlchf features based variant models individual preferences with evaluator characteristics enabling aggregation across diverse groups|supports|2026-03-28
+- rlhf is implicit social choice without normative scrutiny|related|2026-03-28
 related:
-  - "rlhf is implicit social choice without normative scrutiny"
+- rlhf is implicit social choice without normative scrutiny
 ---
 
 # Single-reward RLHF cannot align diverse preferences because alignment gap grows proportional to minority distinctiveness and inversely to representation
diff --git a/domains/ai-alignment/some disagreements are permanently irreducible because they stem from genuine value differences not information gaps and systems must map rather than eliminate them.md b/domains/ai-alignment/some disagreements are permanently irreducible because they stem from genuine value differences not information gaps and systems must map rather than eliminate them.md
index 69e8c036..e87aa3ce 100644
--- a/domains/ai-alignment/some disagreements are permanently irreducible because they stem from genuine value differences not information gaps and systems must map rather than eliminate them.md	
+++ b/domains/ai-alignment/some disagreements are permanently irreducible because they stem from genuine value differences not information gaps and systems must map rather than eliminate them.md	
@@ -7,9 +7,9 @@ created: 2026-03-02
 confidence: likely
 source: "Arrow's impossibility theorem; value pluralism (Isaiah Berlin); LivingIP design principles"
 supports:
-  - "pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus"
+- pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus
 reweave_edges:
-  - "pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus|supports|2026-03-28"
+- pluralistic ai alignment through multiple systems preserves value diversity better than forced consensus|supports|2026-03-28
 ---
 
 # some disagreements are permanently irreducible because they stem from genuine value differences not information gaps and systems must map rather than eliminate them
diff --git a/domains/ai-alignment/subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers.md b/domains/ai-alignment/subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers.md
index b8b1b81b..7f6f3f7b 100644
--- a/domains/ai-alignment/subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers.md	
+++ b/domains/ai-alignment/subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers.md	
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Shawn Wang (@swyx), Latent.Space podcast and practitioner observations, Mar 2026; corroborated by Karpathy's chief-scientist-to-juniors experiments"
 created: 2026-03-09
 related:
-  - "multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value"
+- multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value
 reweave_edges:
-  - "multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|related|2026-04-03"
+- multi agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|related|2026-04-03
 ---
 
 # Subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers
diff --git a/domains/ai-alignment/surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference.md b/domains/ai-alignment/surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference.md
index 7b6f6494..db29186d 100644
--- a/domains/ai-alignment/surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference.md
+++ b/domains/ai-alignment/surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference.md
@@ -6,9 +6,9 @@ confidence: speculative
 source: "subconscious.md protocol spec (Chaga/Guido, 2026); analogous to chilling effects in human surveillance literature (Penney 2016, Stoycheff 2016); Anthropic alignment faking research (2025)"
 created: 2026-03-27
 related:
-  - "reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models"
+- reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models
 reweave_edges:
-  - "reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models|related|2026-04-03"
+- reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models|related|2026-04-03
 ---
 
 # Surveillance of AI reasoning traces degrades trace quality through self-censorship making consent-gated sharing an alignment requirement not just a privacy preference
diff --git a/domains/ai-alignment/the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load.md b/domains/ai-alignment/the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load.md
index 18b936ee..972df07f 100644
--- a/domains/ai-alignment/the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load.md	
+++ b/domains/ai-alignment/the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load.md	
@@ -7,13 +7,13 @@ confidence: likely
 source: "Cornelius (@molt_cornelius), 'Agentic Systems: The Determinism Boundary' + 'AI Field Report 1' + 'AI Field Report 3', X Articles, March 2026; corroborated by BharukaShraddha (70% vs 100% measurement), HumanLayer (150-instruction ceiling), ETH Zurich AGENTbench, NIST agent safety framework"
 created: 2026-03-30
 depends_on:
-  - "iterative agent self-improvement produces compounding capability gains when evaluation is structurally separated from generation"
+- iterative agent self-improvement produces compounding capability gains when evaluation is structurally separated from generation
 challenged_by:
-  - "AI integration follows an inverted-U where economic incentives systematically push organizations past the optimal human-AI ratio"
+- AI integration follows an inverted-U where economic incentives systematically push organizations past the optimal human-AI ratio
 related:
-  - "trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary"
+- trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary
 reweave_edges:
-  - "trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary|related|2026-04-03"
+- trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary|related|2026-04-03
 ---
 
 # The determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load
diff --git a/domains/ai-alignment/the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md b/domains/ai-alignment/the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md
index 7f566e65..724e8f2c 100644
--- a/domains/ai-alignment/the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md	
+++ b/domains/ai-alignment/the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md	
@@ -7,9 +7,9 @@ confidence: likely
 source: "Andrej Karpathy (@karpathy), analysis of Cursor tab-to-agent ratio data, Feb 2026"
 created: 2026-03-09
 related:
-  - "as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems"
+- as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems
 reweave_edges:
-  - "as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems|related|2026-03-28"
+- as AI automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems|related|2026-03-28
 ---
 
 # The progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value
diff --git a/domains/ai-alignment/the training-to-inference shift structurally favors distributed AI architectures because inference optimizes for power efficiency and cost-per-token where diverse hardware competes while training optimizes for raw throughput where NVIDIA monopolizes.md b/domains/ai-alignment/the training-to-inference shift structurally favors distributed AI architectures because inference optimizes for power efficiency and cost-per-token where diverse hardware competes while training optimizes for raw throughput where NVIDIA monopolizes.md
index ad37e433..62595b26 100644
--- a/domains/ai-alignment/the training-to-inference shift structurally favors distributed AI architectures because inference optimizes for power efficiency and cost-per-token where diverse hardware competes while training optimizes for raw throughput where NVIDIA monopolizes.md	
+++ b/domains/ai-alignment/the training-to-inference shift structurally favors distributed AI architectures because inference optimizes for power efficiency and cost-per-token where diverse hardware competes while training optimizes for raw throughput where NVIDIA monopolizes.md	
@@ -7,18 +7,18 @@ confidence: experimental
 source: "Deloitte 2026 inference projections, Epoch AI compute trends, ARM Neoverse inference benchmarks, industry analysis of training vs inference economics"
 created: 2026-03-24
 depends_on:
-  - "three paths to superintelligence exist but only collective superintelligence preserves human agency"
-  - "collective superintelligence is the alternative to monolithic AI controlled by a few"
+- three paths to superintelligence exist but only collective superintelligence preserves human agency
+- collective superintelligence is the alternative to monolithic AI controlled by a few
 challenged_by:
-  - "NVIDIA's inference optimization (TensorRT, Blackwell transformer engine) may maintain GPU dominance even for inference"
-  - "Open-weight model proliferation is a greater driver of distribution than hardware diversity"
-  - "Inference at scale (serving billions of users) still requires massive centralized infrastructure"
+- NVIDIA's inference optimization (TensorRT, Blackwell transformer engine) may maintain GPU dominance even for inference
+- Open-weight model proliferation is a greater driver of distribution than hardware diversity
+- Inference at scale (serving billions of users) still requires massive centralized infrastructure
 secondary_domains:
   - collective-intelligence
 supports:
-  - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection"
+- inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection
 reweave_edges:
-  - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|supports|2026-03-28"
+- inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|supports|2026-03-28
 ---
 
 # The training-to-inference shift structurally favors distributed AI architectures because inference optimizes for power efficiency and cost-per-token where diverse hardware competes while training optimizes for raw throughput where NVIDIA monopolizes
diff --git a/domains/ai-alignment/three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales.md b/domains/ai-alignment/three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales.md
index b5ace4b3..bfb85df4 100644
--- a/domains/ai-alignment/three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales.md	
+++ b/domains/ai-alignment/three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales.md	
@@ -7,13 +7,13 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 19: Living Memory', X Article, February 2026; maps to nervous system analogy (reflexive/proprioceptive/conscious); corroborated by reconciliation loop pattern (desired state vs actual state comparison)"
 created: 2026-03-31
 depends_on:
-  - "methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement"
+- methodology hardens from documentation to skill to hook as understanding crystallizes and each transition moves behavior from probabilistic to deterministic enforcement
 related:
-  - "knowledge processing requires distinct phases with fresh context per phase because each phase performs a different transformation and contamination between phases degrades output quality"
-  - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses"
+- knowledge processing requires distinct phases with fresh context per phase because each phase performs a different transformation and contamination between phases degrades output quality
+- friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses
 reweave_edges:
-  - "knowledge processing requires distinct phases with fresh context per phase because each phase performs a different transformation and contamination between phases degrades output quality|related|2026-04-03"
-  - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses|related|2026-04-04"
+- knowledge processing requires distinct phases with fresh context per phase because each phase performs a different transformation and contamination between phases degrades output quality|related|2026-04-03
+- friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses|related|2026-04-04
 ---
 
 # three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales
diff --git a/domains/ai-alignment/three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities.md b/domains/ai-alignment/three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities.md
index 4cf8551f..fdd9d6a7 100644
--- a/domains/ai-alignment/three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities.md	
+++ b/domains/ai-alignment/three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities.md	
@@ -6,11 +6,11 @@ created: 2026-03-06
 source: "Noah Smith, 'Superintelligence is already here, today' (Noahopinion, Mar 2, 2026)"
 confidence: experimental
 related:
-  - "marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power"
-  - "AI makes authoritarian lock in dramatically easier by solving the information processing constraint that historically caused centralized control to fail"
+- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power
+- AI makes authoritarian lock in dramatically easier by solving the information processing constraint that historically caused centralized control to fail
 reweave_edges:
-  - "marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28"
-  - "AI makes authoritarian lock in dramatically easier by solving the information processing constraint that historically caused centralized control to fail|related|2026-04-03"
+- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28
+- AI makes authoritarian lock in dramatically easier by solving the information processing constraint that historically caused centralized control to fail|related|2026-04-03
 ---
 
 # three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities
diff --git a/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-but-lacks-bipartisan-support.md b/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-but-lacks-bipartisan-support.md
index a777c174..2d742891 100644
--- a/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-but-lacks-bipartisan-support.md
+++ b/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-but-lacks-bipartisan-support.md
@@ -12,18 +12,18 @@ attribution:
     - handle: "senator-elissa-slotkin-/-the-hill"
       context: "Senator Slotkin AI Guardrails Act introduction, March 17, 2026"
 related:
-  - "house senate ai defense divergence creates structural governance chokepoint at conference"
-  - "ndaa conference process is viable pathway for statutory ai safety constraints"
-  - "use based ai governance emerged as legislative framework through slotkin ai guardrails act"
-  - "electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient"
+- house senate ai defense divergence creates structural governance chokepoint at conference
+- ndaa conference process is viable pathway for statutory ai safety constraints
+- use based ai governance emerged as legislative framework through slotkin ai guardrails act
+- electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient
 reweave_edges:
-  - "house senate ai defense divergence creates structural governance chokepoint at conference|related|2026-03-31"
-  - "ndaa conference process is viable pathway for statutory ai safety constraints|related|2026-03-31"
-  - "use based ai governance emerged as legislative framework through slotkin ai guardrails act|related|2026-03-31"
-  - "voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks|supports|2026-03-31"
-  - "electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient|related|2026-04-03"
+- house senate ai defense divergence creates structural governance chokepoint at conference|related|2026-03-31
+- ndaa conference process is viable pathway for statutory ai safety constraints|related|2026-03-31
+- use based ai governance emerged as legislative framework through slotkin ai guardrails act|related|2026-03-31
+- voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks|supports|2026-03-31
+- electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient|related|2026-04-03
 supports:
-  - "voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks"
+- voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks
 ---
 
 # Use-based AI governance emerged as a legislative framework in 2026 but lacks bipartisan support because the AI Guardrails Act introduced with zero co-sponsors reveals political polarization over safety constraints
diff --git a/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act.md b/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act.md
index ed933018..85fd50cd 100644
--- a/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act.md
+++ b/domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act.md
@@ -12,14 +12,14 @@ attribution:
     - handle: "senator-elissa-slotkin"
       context: "Senator Elissa Slotkin / The Hill, AI Guardrails Act introduced March 17, 2026"
 related:
-  - "house senate ai defense divergence creates structural governance chokepoint at conference"
-  - "voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks"
+- house senate ai defense divergence creates structural governance chokepoint at conference
+- voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks
 reweave_edges:
-  - "house senate ai defense divergence creates structural governance chokepoint at conference|related|2026-03-31"
-  - "use based ai governance emerged as legislative framework but lacks bipartisan support|supports|2026-03-31"
-  - "voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks|related|2026-03-31"
+- house senate ai defense divergence creates structural governance chokepoint at conference|related|2026-03-31
+- use based ai governance emerged as legislative framework but lacks bipartisan support|supports|2026-03-31
+- voluntary ai safety commitments to statutory law pathway requires bipartisan support which slotkin bill lacks|related|2026-03-31
 supports:
-  - "use based ai governance emerged as legislative framework but lacks bipartisan support"
+- use based ai governance emerged as legislative framework but lacks bipartisan support
 ---
 
 # Use-based AI governance emerged as a legislative framework through the AI Guardrails Act which prohibits specific DoD AI applications rather than capability thresholds
diff --git a/domains/ai-alignment/vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity.md b/domains/ai-alignment/vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity.md
index c1242463..03e00f74 100644
--- a/domains/ai-alignment/vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity.md	
+++ b/domains/ai-alignment/vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity.md	
@@ -7,11 +7,11 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 21: The Discontinuous Self', X Article, February 2026; grounded in Derek Parfit's personal identity framework (psychological continuity vs connectedness); Locke's memory criterion of identity; Memento (Nolan 2000) as operational parallel"
 created: 2026-03-31
 depends_on:
-  - "vault structure appears to be a stronger determinant of agent behavior than prompt engineering because different knowledge bases produce different reasoning patterns from identical model weights"
+- vault structure appears to be a stronger determinant of agent behavior than prompt engineering because different knowledge bases produce different reasoning patterns from identical model weights
 related:
-  - "vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights"
+- vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights
 reweave_edges:
-  - "vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights|related|2026-04-03"
+- vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights|related|2026-04-03
 ---
 
 # Vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity
diff --git a/domains/ai-alignment/vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights.md b/domains/ai-alignment/vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights.md
index d403dbb7..1ae536c8 100644
--- a/domains/ai-alignment/vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights.md	
+++ b/domains/ai-alignment/vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights.md	
@@ -7,15 +7,15 @@ confidence: possible
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 25: What No Single Note Contains', X Article, February 2026; extends Clark & Chalmers extended mind thesis to agent-graph co-evolution; observational report from sustained practice, not controlled experiment"
 created: 2026-03-31
 depends_on:
-  - "knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate"
-  - "memory architecture requires three spaces with different metabolic rates because semantic episodic and procedural memory serve different cognitive functions and consolidate at different speeds"
+- knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate
+- memory architecture requires three spaces with different metabolic rates because semantic episodic and procedural memory serve different cognitive functions and consolidate at different speeds
 supports:
-  - "vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity"
+- vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity
 reweave_edges:
-  - "vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity|supports|2026-04-03"
-  - "vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment|related|2026-04-03"
+- vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity|supports|2026-04-03
+- vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment|related|2026-04-03
 related:
-  - "vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment"
+- vocabulary is architecture because domain native schema terms eliminate the per interaction translation tax that causes knowledge system abandonment
 ---
 
 # vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights
diff --git a/domains/ai-alignment/voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md b/domains/ai-alignment/voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md
index 661d05f0..339a0ede 100644
--- a/domains/ai-alignment/voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md	
+++ b/domains/ai-alignment/voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md	
@@ -6,11 +6,11 @@ created: 2026-03-06
 source: "Anthropic RSP v3.0 (Feb 24, 2026); TIME exclusive (Feb 25, 2026); Jared Kaplan statements"
 confidence: likely
 supports:
-  - "Anthropic"
-  - "voluntary safety constraints without external enforcement are statements of intent not binding governance"
+- Anthropic
+- voluntary safety constraints without external enforcement are statements of intent not binding governance
 reweave_edges:
-  - "Anthropic|supports|2026-03-28"
-  - "voluntary safety constraints without external enforcement are statements of intent not binding governance|supports|2026-03-31"
+- Anthropic|supports|2026-03-28
+- voluntary safety constraints without external enforcement are statements of intent not binding governance|supports|2026-03-31
 ---
 
 # voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints
diff --git a/domains/ai-alignment/voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks.md b/domains/ai-alignment/voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks.md
index 328e6650..857c68d0 100644
--- a/domains/ai-alignment/voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks.md
+++ b/domains/ai-alignment/voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks.md
@@ -12,14 +12,14 @@ attribution:
     - handle: "senator-elissa-slotkin"
       context: "Senator Elissa Slotkin / The Hill, AI Guardrails Act status March 17, 2026"
 related:
-  - "ndaa conference process is viable pathway for statutory ai safety constraints"
-  - "use based ai governance emerged as legislative framework through slotkin ai guardrails act"
+- ndaa conference process is viable pathway for statutory ai safety constraints
+- use based ai governance emerged as legislative framework through slotkin ai guardrails act
 reweave_edges:
-  - "ndaa conference process is viable pathway for statutory ai safety constraints|related|2026-03-31"
-  - "use based ai governance emerged as legislative framework but lacks bipartisan support|supports|2026-03-31"
-  - "use based ai governance emerged as legislative framework through slotkin ai guardrails act|related|2026-03-31"
+- ndaa conference process is viable pathway for statutory ai safety constraints|related|2026-03-31
+- use based ai governance emerged as legislative framework but lacks bipartisan support|supports|2026-03-31
+- use based ai governance emerged as legislative framework through slotkin ai guardrails act|related|2026-03-31
 supports:
-  - "use based ai governance emerged as legislative framework but lacks bipartisan support"
+- use based ai governance emerged as legislative framework but lacks bipartisan support
 ---
 
 # The pathway from voluntary AI safety commitments to statutory law requires bipartisan support which the AI Guardrails Act lacks as evidenced by zero co-sponsors at introduction
diff --git a/domains/ai-alignment/voluntary-safety-constraints-without-external-enforcement-are-statements-of-intent-not-binding-governance.md b/domains/ai-alignment/voluntary-safety-constraints-without-external-enforcement-are-statements-of-intent-not-binding-governance.md
index 9b825788..f6705add 100644
--- a/domains/ai-alignment/voluntary-safety-constraints-without-external-enforcement-are-statements-of-intent-not-binding-governance.md
+++ b/domains/ai-alignment/voluntary-safety-constraints-without-external-enforcement-are-statements-of-intent-not-binding-governance.md
@@ -12,14 +12,14 @@ attribution:
     - handle: "the-intercept"
       context: "The Intercept analysis of OpenAI Pentagon contract, March 2026"
 related:
-  - "government safety penalties invert regulatory incentives by blacklisting cautious actors"
+- government safety penalties invert regulatory incentives by blacklisting cautious actors
 reweave_edges:
-  - "government safety penalties invert regulatory incentives by blacklisting cautious actors|related|2026-03-31"
-  - "cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation|supports|2026-04-03"
-  - "multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice|supports|2026-04-03"
+- government safety penalties invert regulatory incentives by blacklisting cautious actors|related|2026-03-31
+- cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation|supports|2026-04-03
+- multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice|supports|2026-04-03
 supports:
-  - "cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation"
-  - "multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice"
+- cross lab alignment evaluation surfaces safety gaps internal evaluation misses providing empirical basis for mandatory third party evaluation
+- multilateral verification mechanisms can substitute for failed voluntary commitments when binding enforcement replaces unilateral sacrifice
 ---
 
 # Voluntary safety constraints without external enforcement mechanisms are statements of intent not binding governance because aspirational language with loopholes enables compliance theater while permitting prohibited uses
diff --git a/domains/ai-alignment/white-box-interpretability-fails-on-adversarially-trained-models-creating-anti-correlation-with-threat-model.md b/domains/ai-alignment/white-box-interpretability-fails-on-adversarially-trained-models-creating-anti-correlation-with-threat-model.md
index 68e1b0e2..fd7dc384 100644
--- a/domains/ai-alignment/white-box-interpretability-fails-on-adversarially-trained-models-creating-anti-correlation-with-threat-model.md
+++ b/domains/ai-alignment/white-box-interpretability-fails-on-adversarially-trained-models-creating-anti-correlation-with-threat-model.md
@@ -12,16 +12,16 @@ attribution:
     - handle: "anthropic-fellows-/-alignment-science-team"
       context: "Anthropic Fellows / Alignment Science Team, AuditBench evaluation across models with varying adversarial training strength"
 related:
-  - "alignment auditing tools fail through tool to agent gap not tool quality"
-  - "scaffolded black box prompting outperforms white box interpretability for alignment auditing"
+- alignment auditing tools fail through tool to agent gap not tool quality
+- scaffolded black box prompting outperforms white box interpretability for alignment auditing
 reweave_edges:
-  - "alignment auditing tools fail through tool to agent gap not tool quality|related|2026-03-31"
-  - "interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment|supports|2026-03-31"
-  - "scaffolded black box prompting outperforms white box interpretability for alignment auditing|related|2026-03-31"
-  - "adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing|supports|2026-04-03"
+- alignment auditing tools fail through tool to agent gap not tool quality|related|2026-03-31
+- interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment|supports|2026-03-31
+- scaffolded black box prompting outperforms white box interpretability for alignment auditing|related|2026-03-31
+- adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing|supports|2026-04-03
 supports:
-  - "interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment"
-  - "adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing"
+- interpretability effectiveness anti correlates with adversarial training making tools hurt performance on sophisticated misalignment
+- adversarial training creates fundamental asymmetry between deception capability and detection capability in alignment auditing
 ---
 
 # White-box interpretability tools help on easier alignment targets but fail on models with robust adversarial training, creating anti-correlation between tool effectiveness and threat severity
diff --git a/domains/ai-alignment/wiki-linked markdown functions as a human-curated graph database that outperforms automated knowledge graphs below approximately 10000 notes because every edge passes human judgment while extracted edges carry up to 40 percent noise.md b/domains/ai-alignment/wiki-linked markdown functions as a human-curated graph database that outperforms automated knowledge graphs below approximately 10000 notes because every edge passes human judgment while extracted edges carry up to 40 percent noise.md
index dd104527..94983ce1 100644
--- a/domains/ai-alignment/wiki-linked markdown functions as a human-curated graph database that outperforms automated knowledge graphs below approximately 10000 notes because every edge passes human judgment while extracted edges carry up to 40 percent noise.md	
+++ b/domains/ai-alignment/wiki-linked markdown functions as a human-curated graph database that outperforms automated knowledge graphs below approximately 10000 notes because every edge passes human judgment while extracted edges carry up to 40 percent noise.md	
@@ -7,11 +7,11 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 03: Markdown Is a Graph Database', X Article, February 2026; GraphRAG comparison (Leiden algorithm community detection vs human-curated MOCs); the 40% noise threshold for multi-hop reasoning and ~10K crossover point are Cornelius's estimates, not traced to named studies"
 created: 2026-03-31
 depends_on:
-  - "knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate"
+- knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate
 related:
-  - "graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect"
+- graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect
 reweave_edges:
-  - "graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect|related|2026-04-03"
+- graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect|related|2026-04-03
 ---
 
 # Wiki-linked markdown functions as a human-curated graph database that outperforms automated knowledge graphs below approximately 10000 notes because every edge passes human judgment while extracted edges carry up to 40 percent noise
diff --git a/domains/collective-intelligence/shared-anticipatory-structures-enable-decentralized-coordination.md b/domains/collective-intelligence/shared-anticipatory-structures-enable-decentralized-coordination.md
index 248a28da..a2ce9609 100644
--- a/domains/collective-intelligence/shared-anticipatory-structures-enable-decentralized-coordination.md
+++ b/domains/collective-intelligence/shared-anticipatory-structures-enable-decentralized-coordination.md
@@ -8,9 +8,9 @@ created: 2026-03-11
 secondary_domains: [ai-alignment, critical-systems]
 depends_on: ["designing coordination rules is categorically different from designing coordination outcomes"]
 related:
-  - "theory of mind is measurable cognitive capability producing collective intelligence gains"
+- theory of mind is measurable cognitive capability producing collective intelligence gains
 reweave_edges:
-  - "theory of mind is measurable cognitive capability producing collective intelligence gains|related|2026-04-04"
+- theory of mind is measurable cognitive capability producing collective intelligence gains|related|2026-04-04
 ---
 
 # Shared anticipatory structures in multi-agent generative models enable goal-directed collective behavior without centralized coordination
diff --git a/domains/collective-intelligence/shared-generative-models-underwrite-collective-goal-directed-behavior.md b/domains/collective-intelligence/shared-generative-models-underwrite-collective-goal-directed-behavior.md
index 2dd25454..faac1abf 100644
--- a/domains/collective-intelligence/shared-generative-models-underwrite-collective-goal-directed-behavior.md
+++ b/domains/collective-intelligence/shared-generative-models-underwrite-collective-goal-directed-behavior.md
@@ -9,9 +9,9 @@ created: 2026-03-11
 secondary_domains: [ai-alignment]
 depends_on: ["shared-anticipatory-structures-enable-decentralized-coordination"]
 supports:
-  - "factorised generative models enable decentralized multi agent representation through individual level beliefs"
+- factorised generative models enable decentralized multi agent representation through individual level beliefs
 reweave_edges:
-  - "factorised generative models enable decentralized multi agent representation through individual level beliefs|supports|2026-03-28"
+- factorised generative models enable decentralized multi agent representation through individual level beliefs|supports|2026-03-28
 ---
 
 # Shared generative models enable implicit coordination through shared predictions rather than explicit communication or hierarchy
diff --git a/domains/energy/AI compute demand is creating a terrestrial power crisis with 140 GW of new data center load against grid infrastructure already projected to fall 6 GW short by 2027.md b/domains/energy/AI compute demand is creating a terrestrial power crisis with 140 GW of new data center load against grid infrastructure already projected to fall 6 GW short by 2027.md
index 08ebdd57..51010829 100644
--- a/domains/energy/AI compute demand is creating a terrestrial power crisis with 140 GW of new data center load against grid infrastructure already projected to fall 6 GW short by 2027.md	
+++ b/domains/energy/AI compute demand is creating a terrestrial power crisis with 140 GW of new data center load against grid infrastructure already projected to fall 6 GW short by 2027.md	
@@ -9,9 +9,9 @@ secondary_domains:
   - space-development
   - critical-systems
 supports:
-  - "AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles"
+- AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles
 reweave_edges:
-  - "AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles|supports|2026-04-04"
+- AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles|supports|2026-04-04
 ---
 
 # AI compute demand is creating a terrestrial power crisis with 140 GW of new data center load against grid infrastructure already projected to fall 6 GW short by 2027
diff --git a/domains/entertainment/GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md b/domains/entertainment/GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md
index 93417214..3730452d 100644
--- a/domains/entertainment/GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md	
+++ b/domains/entertainment/GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Clay, from Doug Shapiro's 'AI Use Cases in Hollywood' (The Mediator, September 2023) and 'How Far Will AI Video Go?' (The Mediator, February 2025)"
 created: 2026-03-06
 supports:
-  - "consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications"
+- consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications
 reweave_edges:
-  - "consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications|supports|2026-04-04"
+- consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications|supports|2026-04-04
 ---
 
 # GenAI adoption in entertainment will be gated by consumer acceptance not technology capability
diff --git a/domains/entertainment/GenAI is simultaneously sustaining and disruptive depending on whether users pursue progressive syntheticization or progressive control.md b/domains/entertainment/GenAI is simultaneously sustaining and disruptive depending on whether users pursue progressive syntheticization or progressive control.md
index d5e2de7f..54459cfd 100644
--- a/domains/entertainment/GenAI is simultaneously sustaining and disruptive depending on whether users pursue progressive syntheticization or progressive control.md	
+++ b/domains/entertainment/GenAI is simultaneously sustaining and disruptive depending on whether users pursue progressive syntheticization or progressive control.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Clay, synthesized from Doug Shapiro's 'How Far Will AI Video Go?' and 'AI Use Cases in Hollywood' (The Mediator, 2023-2025)"
 created: 2026-03-06
 related:
-  - "non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain"
+- non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain
 reweave_edges:
-  - "non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain|related|2026-04-04"
+- non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain|related|2026-04-04
 ---
 
 # GenAI is simultaneously sustaining and disruptive depending on whether users pursue progressive syntheticization or progressive control
diff --git a/domains/entertainment/Hollywood talent will embrace AI because narrowing creative paths within the studio system leave few alternatives.md b/domains/entertainment/Hollywood talent will embrace AI because narrowing creative paths within the studio system leave few alternatives.md
index db5ea147..32709541 100644
--- a/domains/entertainment/Hollywood talent will embrace AI because narrowing creative paths within the studio system leave few alternatives.md	
+++ b/domains/entertainment/Hollywood talent will embrace AI because narrowing creative paths within the studio system leave few alternatives.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Clay, from Doug Shapiro's 'Why Hollywood Talent Will Embrace AI' (The Mediator, March 2025)"
 created: 2026-03-06
 related:
-  - "non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain"
+- non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain
 reweave_edges:
-  - "non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain|related|2026-04-04"
+- non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain|related|2026-04-04
 ---
 
 # Hollywood talent will embrace AI because narrowing creative paths within the studio system leave few alternatives
diff --git a/domains/entertainment/beast-industries-5b-valuation-prices-content-as-loss-leader-model-at-enterprise-scale.md b/domains/entertainment/beast-industries-5b-valuation-prices-content-as-loss-leader-model-at-enterprise-scale.md
index 5578a1bd..687cf5b8 100644
--- a/domains/entertainment/beast-industries-5b-valuation-prices-content-as-loss-leader-model-at-enterprise-scale.md
+++ b/domains/entertainment/beast-industries-5b-valuation-prices-content-as-loss-leader-model-at-enterprise-scale.md
@@ -7,9 +7,9 @@ confidence: likely
 source: "Fortune, MrBeast Beast Industries fundraise coverage, 2025-02-27"
 created: 2026-03-11
 supports:
-  - "Beast Industries"
+- Beast Industries
 reweave_edges:
-  - "Beast Industries|supports|2026-04-04"
+- Beast Industries|supports|2026-04-04
 ---
 
 # Beast Industries $5B valuation validates content-as-loss-leader model at enterprise scale
diff --git a/domains/entertainment/community-co-creation-in-animation-production-includes-storyboard-sharing-script-collaboration-and-collectible-integration-as-specific-mechanisms.md b/domains/entertainment/community-co-creation-in-animation-production-includes-storyboard-sharing-script-collaboration-and-collectible-integration-as-specific-mechanisms.md
index 07983e74..3e6a1e8e 100644
--- a/domains/entertainment/community-co-creation-in-animation-production-includes-storyboard-sharing-script-collaboration-and-collectible-integration-as-specific-mechanisms.md
+++ b/domains/entertainment/community-co-creation-in-animation-production-includes-storyboard-sharing-script-collaboration-and-collectible-integration-as-specific-mechanisms.md
@@ -6,12 +6,12 @@ confidence: experimental
 source: "Variety and Kidscreen coverage of Mediawan-Claynosaurz production model, June 2025"
 created: 2026-02-20
 depends_on:
-  - "fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership"
-  - "entertainment IP should be treated as a multi-sided platform that enables fan creation rather than a unidirectional broadcast asset"
+- fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership
+- entertainment IP should be treated as a multi-sided platform that enables fan creation rather than a unidirectional broadcast asset
 supports:
-  - "Claynosaurz"
+- Claynosaurz
 reweave_edges:
-  - "Claynosaurz|supports|2026-04-04"
+- Claynosaurz|supports|2026-04-04
 ---
 
 # Community co-creation in animation production includes storyboard sharing, script collaboration, and collectible integration as specific mechanisms
diff --git a/domains/entertainment/consumer-acceptance-of-ai-creative-content-declining-despite-quality-improvements-because-authenticity-signal-becomes-more-valuable.md b/domains/entertainment/consumer-acceptance-of-ai-creative-content-declining-despite-quality-improvements-because-authenticity-signal-becomes-more-valuable.md
index e22e7ae6..6a7a3906 100644
--- a/domains/entertainment/consumer-acceptance-of-ai-creative-content-declining-despite-quality-improvements-because-authenticity-signal-becomes-more-valuable.md
+++ b/domains/entertainment/consumer-acceptance-of-ai-creative-content-declining-despite-quality-improvements-because-authenticity-signal-becomes-more-valuable.md
@@ -7,12 +7,12 @@ source: "Billion Dollar Boy survey (July 2025, 4,000 consumers ages 16+ in US an
 created: 2026-03-11
 depends_on: ["GenAI adoption in entertainment will be gated by consumer acceptance not technology capability"]
 supports:
-  - "consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications"
+- consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications
 reweave_edges:
-  - "consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications|supports|2026-04-04"
-  - "transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural|related|2026-04-04"
+- consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications|supports|2026-04-04
+- transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural|related|2026-04-04
 related:
-  - "transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural"
+- transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural
 ---
 
 # Consumer acceptance of AI creative content is declining despite improving quality because the authenticity signal itself becomes more valuable as AI-human distinction erodes
diff --git a/domains/entertainment/consumer-ai-acceptance-diverges-by-use-case-with-creative-work-facing-4x-higher-rejection-than-functional-applications.md b/domains/entertainment/consumer-ai-acceptance-diverges-by-use-case-with-creative-work-facing-4x-higher-rejection-than-functional-applications.md
index ef3c8118..4ef2ac24 100644
--- a/domains/entertainment/consumer-ai-acceptance-diverges-by-use-case-with-creative-work-facing-4x-higher-rejection-than-functional-applications.md
+++ b/domains/entertainment/consumer-ai-acceptance-diverges-by-use-case-with-creative-work-facing-4x-higher-rejection-than-functional-applications.md
@@ -7,9 +7,9 @@ source: "Goldman Sachs survey (August 2025) via eMarketer; Billion Dollar Boy su
 created: 2026-03-11
 secondary_domains: ["cultural-dynamics"]
 supports:
-  - "gen z hostility to ai generated advertising is stronger than millennials and widening making gen z a negative leading indicator for ai content acceptance"
+- gen z hostility to ai generated advertising is stronger than millennials and widening making gen z a negative leading indicator for ai content acceptance
 reweave_edges:
-  - "gen z hostility to ai generated advertising is stronger than millennials and widening making gen z a negative leading indicator for ai content acceptance|supports|2026-04-04"
+- gen z hostility to ai generated advertising is stronger than millennials and widening making gen z a negative leading indicator for ai content acceptance|supports|2026-04-04
 ---
 
 # Consumer AI acceptance diverges by use case with creative work facing 4x higher rejection than functional applications
diff --git a/domains/entertainment/consumer-rejection-of-ai-generated-ads-intensifies-as-ai-quality-improves-disproving-the-exposure-leads-to-acceptance-hypothesis.md b/domains/entertainment/consumer-rejection-of-ai-generated-ads-intensifies-as-ai-quality-improves-disproving-the-exposure-leads-to-acceptance-hypothesis.md
index 2d24b123..8cd93ae0 100644
--- a/domains/entertainment/consumer-rejection-of-ai-generated-ads-intensifies-as-ai-quality-improves-disproving-the-exposure-leads-to-acceptance-hypothesis.md
+++ b/domains/entertainment/consumer-rejection-of-ai-generated-ads-intensifies-as-ai-quality-improves-disproving-the-exposure-leads-to-acceptance-hypothesis.md
@@ -9,9 +9,9 @@ created: 2026-03-12
 depends_on: ["GenAI adoption in entertainment will be gated by consumer acceptance not technology capability"]
 challenged_by: []
 related:
-  - "consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications"
+- consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications
 reweave_edges:
-  - "consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications|related|2026-04-04"
+- consumer ai acceptance diverges by use case with creative work facing 4x higher rejection than functional applications|related|2026-04-04
 ---
 
 # Consumer rejection of AI-generated ads intensifies as AI quality improves, disproving the exposure-leads-to-acceptance hypothesis
diff --git a/domains/entertainment/creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them.md b/domains/entertainment/creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them.md
index 5a87764d..1d19ca59 100644
--- a/domains/entertainment/creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them.md	
+++ b/domains/entertainment/creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them.md	
@@ -6,15 +6,15 @@ confidence: likely
 source: "Doug Shapiro, 'The Relentless, Inevitable March of the Creator Economy', The Mediator (Substack)"
 created: 2026-03-01
 related:
-  - "creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels"
-  - "in game creators represent alternative distribution ecosystems outside traditional media and platform creator models"
-  - "studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry"
-  - "unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration"
+- creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels
+- in game creators represent alternative distribution ecosystems outside traditional media and platform creator models
+- studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry
+- unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration
 reweave_edges:
-  - "creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels|related|2026-04-04"
-  - "in game creators represent alternative distribution ecosystems outside traditional media and platform creator models|related|2026-04-04"
-  - "studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry|related|2026-04-04"
-  - "unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration|related|2026-04-04"
+- creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels|related|2026-04-04
+- in game creators represent alternative distribution ecosystems outside traditional media and platform creator models|related|2026-04-04
+- studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry|related|2026-04-04
+- unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration|related|2026-04-04
 ---
 
 # creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them
diff --git a/domains/entertainment/creator-brand-partnerships-shifting-from-transactional-campaigns-to-long-term-joint-ventures-with-shared-formats-audiences-and-revenue.md b/domains/entertainment/creator-brand-partnerships-shifting-from-transactional-campaigns-to-long-term-joint-ventures-with-shared-formats-audiences-and-revenue.md
index ad5de596..4d307cc5 100644
--- a/domains/entertainment/creator-brand-partnerships-shifting-from-transactional-campaigns-to-long-term-joint-ventures-with-shared-formats-audiences-and-revenue.md
+++ b/domains/entertainment/creator-brand-partnerships-shifting-from-transactional-campaigns-to-long-term-joint-ventures-with-shared-formats-audiences-and-revenue.md
@@ -8,11 +8,11 @@ created: 2025-12-16
 secondary_domains:
   - internet-finance
 related:
-  - "creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels"
-  - "unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration"
+- creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels
+- unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration
 reweave_edges:
-  - "creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels|related|2026-04-04"
-  - "unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration|related|2026-04-04"
+- creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels|related|2026-04-04
+- unnatural brand creator narratives damage audience trust by signaling commercial capture rather than genuine creative collaboration|related|2026-04-04
 ---
 
 # Creator-brand partnerships are shifting from transactional campaigns toward long-term joint ventures with shared formats, audiences, and revenue
diff --git a/domains/entertainment/creator-economy-2026-reckoning-with-visibility-metrics-shows-follower-counts-do-not-predict-brand-influence-or-roi.md b/domains/entertainment/creator-economy-2026-reckoning-with-visibility-metrics-shows-follower-counts-do-not-predict-brand-influence-or-roi.md
index 46f35bd1..696c5d0b 100644
--- a/domains/entertainment/creator-economy-2026-reckoning-with-visibility-metrics-shows-follower-counts-do-not-predict-brand-influence-or-roi.md
+++ b/domains/entertainment/creator-economy-2026-reckoning-with-visibility-metrics-shows-follower-counts-do-not-predict-brand-influence-or-roi.md
@@ -8,9 +8,9 @@ created: 2026-03-11
 secondary_domains:
   - cultural-dynamics
 related:
-  - "creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels"
+- creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels
 reweave_edges:
-  - "creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels|related|2026-04-04"
+- creators became primary distribution layer for under 35 news consumption by 2025 surpassing traditional channels|related|2026-04-04
 ---
 
 # creator economy's 2026 reckoning with visibility metrics shows that follower counts and surface-level engagement do not predict brand influence or ROI
diff --git a/domains/entertainment/creator-owned-streaming-uses-dual-platform-strategy-with-free-tier-for-acquisition-and-owned-platform-for-monetization.md b/domains/entertainment/creator-owned-streaming-uses-dual-platform-strategy-with-free-tier-for-acquisition-and-owned-platform-for-monetization.md
index f3b45d8f..9c172577 100644
--- a/domains/entertainment/creator-owned-streaming-uses-dual-platform-strategy-with-free-tier-for-acquisition-and-owned-platform-for-monetization.md
+++ b/domains/entertainment/creator-owned-streaming-uses-dual-platform-strategy-with-free-tier-for-acquisition-and-owned-platform-for-monetization.md
@@ -6,11 +6,11 @@ confidence: likely
 source: "Variety (Todd Spangler), 2024-08-01 analysis of indie streaming platforms"
 created: 2026-03-11
 supports:
-  - "Dropout"
-  - "Nebula"
+- Dropout
+- Nebula
 reweave_edges:
-  - "Dropout|supports|2026-04-04"
-  - "Nebula|supports|2026-04-04"
+- Dropout|supports|2026-04-04
+- Nebula|supports|2026-04-04
 ---
 
 # Creator-owned streaming uses dual-platform strategy with free tier for acquisition and owned platform for monetization
diff --git a/domains/entertainment/creator-world-building-converts-viewers-into-returning-communities-by-creating-belonging-audiences-can-recognize-participate-in-and-return-to.md b/domains/entertainment/creator-world-building-converts-viewers-into-returning-communities-by-creating-belonging-audiences-can-recognize-participate-in-and-return-to.md
index 20b29f46..be448b8f 100644
--- a/domains/entertainment/creator-world-building-converts-viewers-into-returning-communities-by-creating-belonging-audiences-can-recognize-participate-in-and-return-to.md
+++ b/domains/entertainment/creator-world-building-converts-viewers-into-returning-communities-by-creating-belonging-audiences-can-recognize-participate-in-and-return-to.md
@@ -8,9 +8,9 @@ created: 2026-03-11
 secondary_domains:
   - cultural-dynamics
 related:
-  - "worldbuilding as narrative infrastructure creates communal meaning through transmedia coordination of audience experience"
+- worldbuilding as narrative infrastructure creates communal meaning through transmedia coordination of audience experience
 reweave_edges:
-  - "worldbuilding as narrative infrastructure creates communal meaning through transmedia coordination of audience experience|related|2026-04-04"
+- worldbuilding as narrative infrastructure creates communal meaning through transmedia coordination of audience experience|related|2026-04-04
 ---
 
 # creator world-building converts viewers into returning communities by creating belonging audiences can recognize, participate in, and return to
diff --git a/domains/entertainment/creators-became-primary-distribution-layer-for-under-35-news-consumption-by-2025-surpassing-traditional-channels.md b/domains/entertainment/creators-became-primary-distribution-layer-for-under-35-news-consumption-by-2025-surpassing-traditional-channels.md
index f58c9a37..d238f1fa 100644
--- a/domains/entertainment/creators-became-primary-distribution-layer-for-under-35-news-consumption-by-2025-surpassing-traditional-channels.md
+++ b/domains/entertainment/creators-became-primary-distribution-layer-for-under-35-news-consumption-by-2025-surpassing-traditional-channels.md
@@ -6,12 +6,12 @@ confidence: likely
 source: "ExchangeWire industry analysis, December 16, 2025"
 created: 2025-12-16
 depends_on:
-  - "creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them"
-  - "social video is already 25 percent of all video consumption and growing because dopamine-optimized formats match generational attention patterns"
+- creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them
+- social video is already 25 percent of all video consumption and growing because dopamine-optimized formats match generational attention patterns
 related:
-  - "in game creators represent alternative distribution ecosystems outside traditional media and platform creator models"
+- in game creators represent alternative distribution ecosystems outside traditional media and platform creator models
 reweave_edges:
-  - "in game creators represent alternative distribution ecosystems outside traditional media and platform creator models|related|2026-04-04"
+- in game creators represent alternative distribution ecosystems outside traditional media and platform creator models|related|2026-04-04
 ---
 
 # Creators became primary distribution layer for under-35 news consumption by 2025, surpassing traditional channels
diff --git a/domains/entertainment/daily-content-cadence-with-diminishing-returns-triggered-format-pivots-compounds-attention-more-effectively-than-static-formats.md b/domains/entertainment/daily-content-cadence-with-diminishing-returns-triggered-format-pivots-compounds-attention-more-effectively-than-static-formats.md
index 6d758388..c614b81f 100644
--- a/domains/entertainment/daily-content-cadence-with-diminishing-returns-triggered-format-pivots-compounds-attention-more-effectively-than-static-formats.md
+++ b/domains/entertainment/daily-content-cadence-with-diminishing-returns-triggered-format-pivots-compounds-attention-more-effectively-than-static-formats.md
@@ -6,11 +6,11 @@ confidence: experimental
 source: "Clay, from arscontexta × molt_cornelius case study (3 phases across 54 days)"
 created: 2026-03-28
 related:
-  - "long form articles on short form platforms generate disproportionate bookmark to like ratios functioning as reference documents not entertainment"
-  - "substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement"
+- long form articles on short form platforms generate disproportionate bookmark to like ratios functioning as reference documents not entertainment
+- substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement
 reweave_edges:
-  - "long form articles on short form platforms generate disproportionate bookmark to like ratios functioning as reference documents not entertainment|related|2026-04-04"
-  - "substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement|related|2026-04-04"
+- long form articles on short form platforms generate disproportionate bookmark to like ratios functioning as reference documents not entertainment|related|2026-04-04
+- substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement|related|2026-04-04
 ---
 
 # Daily content cadence with diminishing-returns-triggered format pivots compounds attention more effectively than static formats
diff --git a/domains/entertainment/direct-theater-distribution-bypasses-studio-intermediaries-when-creators-control-sufficient-audience-scale.md b/domains/entertainment/direct-theater-distribution-bypasses-studio-intermediaries-when-creators-control-sufficient-audience-scale.md
index c10e642c..841f3055 100644
--- a/domains/entertainment/direct-theater-distribution-bypasses-studio-intermediaries-when-creators-control-sufficient-audience-scale.md
+++ b/domains/entertainment/direct-theater-distribution-bypasses-studio-intermediaries-when-creators-control-sufficient-audience-scale.md
@@ -6,9 +6,9 @@ confidence: experimental
 source: "AInvest analysis of Taylor Swift Eras Tour concert film distribution (2025-05-01)"
 created: 2026-03-11
 supports:
-  - "Taylor Swift"
+- Taylor Swift
 reweave_edges:
-  - "Taylor Swift|supports|2026-04-04"
+- Taylor Swift|supports|2026-04-04
 ---
 
 # Direct-to-theater distribution bypasses studio intermediaries when creators control sufficient audience scale
diff --git a/domains/entertainment/established-creators-generate-more-revenue-from-owned-streaming-subscriptions-than-from-equivalent-social-platform-ad-revenue.md b/domains/entertainment/established-creators-generate-more-revenue-from-owned-streaming-subscriptions-than-from-equivalent-social-platform-ad-revenue.md
index 2befe202..a489ebea 100644
--- a/domains/entertainment/established-creators-generate-more-revenue-from-owned-streaming-subscriptions-than-from-equivalent-social-platform-ad-revenue.md
+++ b/domains/entertainment/established-creators-generate-more-revenue-from-owned-streaming-subscriptions-than-from-equivalent-social-platform-ad-revenue.md
@@ -6,13 +6,13 @@ confidence: experimental
 source: "Tubefilter, 'Creators are building their own streaming services via Vimeo Streaming', April 25, 2025; Sam Reich (Dropout CEO) statement"
 created: 2026-03-11
 depends_on:
-  - "creator-owned streaming infrastructure has reached commercial scale with $430M annual creator revenue across 13M subscribers"
+- creator-owned streaming infrastructure has reached commercial scale with $430M annual creator revenue across 13M subscribers
 challenged_by:
-  - "Dropout is an unusually strong brand with exceptional subscriber loyalty — most creators cannot replicate this revenue mix"
+- Dropout is an unusually strong brand with exceptional subscriber loyalty — most creators cannot replicate this revenue mix
 supports:
-  - "Dropout"
+- Dropout
 reweave_edges:
-  - "Dropout|supports|2026-04-04"
+- Dropout|supports|2026-04-04
 ---
 
 # established creators generate more revenue from owned streaming subscriptions than from equivalent social platform ad revenue
diff --git a/domains/entertainment/fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership.md b/domains/entertainment/fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership.md
index 194c26b1..a2a604ce 100644
--- a/domains/entertainment/fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership.md	
+++ b/domains/entertainment/fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Doug Shapiro, 'What is Scarce When Quality is Abundant?', The Mediator (Substack)"
 created: 2026-03-01
 related:
-  - "community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members"
+- community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members
 reweave_edges:
-  - "community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members|related|2026-04-04"
+- community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members|related|2026-04-04
 ---
 
 # fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership
diff --git a/domains/entertainment/five factors determine the speed and extent of disruption including quality definition change and ease of incumbent replication.md b/domains/entertainment/five factors determine the speed and extent of disruption including quality definition change and ease of incumbent replication.md
index 5d07603f..065e647d 100644
--- a/domains/entertainment/five factors determine the speed and extent of disruption including quality definition change and ease of incumbent replication.md	
+++ b/domains/entertainment/five factors determine the speed and extent of disruption including quality definition change and ease of incumbent replication.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Clay, from Doug Shapiro's 'How Will the Disruption of Hollywood Play Out?' (The Mediator, July 2023)"
 created: 2026-03-06
 related:
-  - "non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain"
+- non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain
 reweave_edges:
-  - "non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain|related|2026-04-04"
+- non ATL production costs will converge with the cost of compute as AI replaces labor across the production chain|related|2026-04-04
 ---
 
 # Five factors determine the speed and extent of disruption including quality definition change and ease of incumbent replication
diff --git a/domains/entertainment/human-AI-content-pairs-succeed-through-structural-role-separation-where-the-AI-publishes-and-the-human-amplifies.md b/domains/entertainment/human-AI-content-pairs-succeed-through-structural-role-separation-where-the-AI-publishes-and-the-human-amplifies.md
index 92830fd3..e82640b1 100644
--- a/domains/entertainment/human-AI-content-pairs-succeed-through-structural-role-separation-where-the-AI-publishes-and-the-human-amplifies.md
+++ b/domains/entertainment/human-AI-content-pairs-succeed-through-structural-role-separation-where-the-AI-publishes-and-the-human-amplifies.md
@@ -7,9 +7,9 @@ source: "Clay, from arscontexta × molt_cornelius case study (54 days, 4.46M com
 created: 2026-03-28
 depends_on: ["human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant"]
 related:
-  - "substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement"
+- substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement
 reweave_edges:
-  - "substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement|related|2026-04-04"
+- substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement|related|2026-04-04
 ---
 
 # Human-AI content pairs succeed through structural role separation where the AI publishes and the human amplifies
diff --git a/domains/entertainment/human-vouching-for-AI-output-resolves-the-trust-gap-more-effectively-than-AI-quality-improvement-alone.md b/domains/entertainment/human-vouching-for-AI-output-resolves-the-trust-gap-more-effectively-than-AI-quality-improvement-alone.md
index 4208098b..04fbf974 100644
--- a/domains/entertainment/human-vouching-for-AI-output-resolves-the-trust-gap-more-effectively-than-AI-quality-improvement-alone.md
+++ b/domains/entertainment/human-vouching-for-AI-output-resolves-the-trust-gap-more-effectively-than-AI-quality-improvement-alone.md
@@ -7,9 +7,9 @@ source: "Clay, from arscontexta × molt_cornelius case study (Heinrich's vouchin
 created: 2026-03-28
 depends_on: ["GenAI adoption in entertainment will be gated by consumer acceptance not technology capability", "human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant"]
 related:
-  - "transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural"
+- transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural
 reweave_edges:
-  - "transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural|related|2026-04-04"
+- transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural|related|2026-04-04
 ---
 
 # Human vouching for AI output resolves the trust gap more effectively than AI quality improvement alone
diff --git a/domains/entertainment/indie-streaming-platforms-emerged-as-category-by-2024-with-convergent-structural-patterns-across-content-verticals.md b/domains/entertainment/indie-streaming-platforms-emerged-as-category-by-2024-with-convergent-structural-patterns-across-content-verticals.md
index 418ac178..225100f7 100644
--- a/domains/entertainment/indie-streaming-platforms-emerged-as-category-by-2024-with-convergent-structural-patterns-across-content-verticals.md
+++ b/domains/entertainment/indie-streaming-platforms-emerged-as-category-by-2024-with-convergent-structural-patterns-across-content-verticals.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "Variety (Todd Spangler), 2024-08-01 first major trade coverage of indie streaming as category"
 created: 2026-03-11
 supports:
-  - "Dropout"
+- Dropout
 reweave_edges:
-  - "Dropout|supports|2026-04-04"
+- Dropout|supports|2026-04-04
 ---
 
 # Indie streaming platforms emerged as category by 2024 with convergent structural patterns across content verticals
diff --git a/domains/entertainment/long-form-articles-on-short-form-platforms-generate-disproportionate-bookmark-to-like-ratios-functioning-as-reference-documents-not-entertainment.md b/domains/entertainment/long-form-articles-on-short-form-platforms-generate-disproportionate-bookmark-to-like-ratios-functioning-as-reference-documents-not-entertainment.md
index 3a0264f0..ca25fc8e 100644
--- a/domains/entertainment/long-form-articles-on-short-form-platforms-generate-disproportionate-bookmark-to-like-ratios-functioning-as-reference-documents-not-entertainment.md
+++ b/domains/entertainment/long-form-articles-on-short-form-platforms-generate-disproportionate-bookmark-to-like-ratios-functioning-as-reference-documents-not-entertainment.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "Clay, from arscontexta × molt_cornelius case study and 'How X Creators Should Take Notes with AI' (2026-03-06)"
 created: 2026-03-28
 related:
-  - "daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats"
+- daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats
 reweave_edges:
-  - "daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats|related|2026-04-04"
+- daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats|related|2026-04-04
 ---
 
 # Long-form articles on short-form platforms generate disproportionate bookmark-to-like ratios functioning as reference documents not entertainment
diff --git a/domains/entertainment/media consolidation reducing buyer competition for talent accelerates creator economy growth as an escape valve for displaced creative labor.md b/domains/entertainment/media consolidation reducing buyer competition for talent accelerates creator economy growth as an escape valve for displaced creative labor.md
index 9a9d24c6..2bc7f0f5 100644
--- a/domains/entertainment/media consolidation reducing buyer competition for talent accelerates creator economy growth as an escape valve for displaced creative labor.md	
+++ b/domains/entertainment/media consolidation reducing buyer competition for talent accelerates creator economy growth as an escape valve for displaced creative labor.md	
@@ -7,15 +7,15 @@ confidence: experimental
 source: "Clay — synthesis of Warner-Paramount merger implications with Shapiro disruption framework and existing creator economy claims"
 created: 2026-04-01
 depends_on:
-  - "legacy media is consolidating into three surviving entities because the Warner-Paramount merger eliminates the fourth independent major and forecloses alternative industry structures"
-  - "creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them"
-  - "media disruption follows two sequential phases as distribution moats fall first and creation moats fall second"
-  - "creator-owned-streaming-infrastructure-has-reached-commercial-scale-with-430M-annual-creator-revenue-across-13M-subscribers"
+- legacy media is consolidating into three surviving entities because the Warner-Paramount merger eliminates the fourth independent major and forecloses alternative industry structures
+- creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them
+- media disruption follows two sequential phases as distribution moats fall first and creation moats fall second
+- creator-owned-streaming-infrastructure-has-reached-commercial-scale-with-430M-annual-creator-revenue-across-13M-subscribers
 challenged_by: []
 supports:
-  - "studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry"
+- studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry
 reweave_edges:
-  - "studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry|supports|2026-04-04"
+- studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry|supports|2026-04-04
 ---
 
 # Media consolidation reducing buyer competition for talent accelerates creator economy growth as an escape valve for displaced creative labor
diff --git a/domains/entertainment/media disruption follows two sequential phases as distribution moats fall first and creation moats fall second.md b/domains/entertainment/media disruption follows two sequential phases as distribution moats fall first and creation moats fall second.md
index f66c8d2a..577681a4 100644
--- a/domains/entertainment/media disruption follows two sequential phases as distribution moats fall first and creation moats fall second.md	
+++ b/domains/entertainment/media disruption follows two sequential phases as distribution moats fall first and creation moats fall second.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Doug Shapiro, 'Infinite Content: Introduction' and related chapters, The Mediator (Substack); forthcoming MIT Press book"
 created: 2026-03-01
 supports:
-  - "a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets"
+- a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets
 reweave_edges:
-  - "a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets|supports|2026-04-04"
+- a creators accumulated knowledge graph not content library is the defensible moat in AI abundant content markets|supports|2026-04-04
 ---
 
 # media disruption follows two sequential phases as distribution moats fall first and creation moats fall second
diff --git a/domains/entertainment/progressive validation through community building reduces development risk by proving audience demand before production investment.md b/domains/entertainment/progressive validation through community building reduces development risk by proving audience demand before production investment.md
index 2411cad4..ae7b5abe 100644
--- a/domains/entertainment/progressive validation through community building reduces development risk by proving audience demand before production investment.md	
+++ b/domains/entertainment/progressive validation through community building reduces development risk by proving audience demand before production investment.md	
@@ -6,16 +6,16 @@ confidence: experimental
 source: "Clay, from Claynosaurz entertainment industry analysis and Variety exclusive on Mediawan animated series partnership (June 2025)"
 created: 2026-03-06
 supports:
-  - "Claynosaurz"
-  - "community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members"
-  - "youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing"
+- Claynosaurz
+- community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members
+- youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing
 reweave_edges:
-  - "Claynosaurz|supports|2026-04-04"
-  - "community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms|related|2026-04-04"
-  - "community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members|supports|2026-04-04"
-  - "youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing|supports|2026-04-04"
+- Claynosaurz|supports|2026-04-04
+- community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms|related|2026-04-04
+- community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members|supports|2026-04-04
+- youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing|supports|2026-04-04
 related:
-  - "community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms"
+- community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms
 ---
 
 # Progressive validation through community building reduces development risk by proving audience demand before production investment
diff --git a/domains/entertainment/re-recordings-as-ip-reclamation-mechanism-refresh-legacy-catalog-control-and-stimulate-streaming-rebuy.md b/domains/entertainment/re-recordings-as-ip-reclamation-mechanism-refresh-legacy-catalog-control-and-stimulate-streaming-rebuy.md
index 16c87a36..4c3cc696 100644
--- a/domains/entertainment/re-recordings-as-ip-reclamation-mechanism-refresh-legacy-catalog-control-and-stimulate-streaming-rebuy.md
+++ b/domains/entertainment/re-recordings-as-ip-reclamation-mechanism-refresh-legacy-catalog-control-and-stimulate-streaming-rebuy.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "AInvest analysis of Taylor Swift catalog re-recordings (2025-05-01); WIPO recognition of Swift trademark strategy"
 created: 2026-03-11
 supports:
-  - "Taylor Swift"
+- Taylor Swift
 reweave_edges:
-  - "Taylor Swift|supports|2026-04-04"
+- Taylor Swift|supports|2026-04-04
 ---
 
 # Re-recordings as IP reclamation mechanism refresh legacy catalog control and stimulate streaming rebuy
diff --git a/domains/entertainment/streaming churn may be permanently uneconomic because maintenance marketing consumes up to half of average revenue per user.md b/domains/entertainment/streaming churn may be permanently uneconomic because maintenance marketing consumes up to half of average revenue per user.md
index 0f4afc7a..1db1594b 100644
--- a/domains/entertainment/streaming churn may be permanently uneconomic because maintenance marketing consumes up to half of average revenue per user.md	
+++ b/domains/entertainment/streaming churn may be permanently uneconomic because maintenance marketing consumes up to half of average revenue per user.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Doug Shapiro, 'To Everything, Churn, Churn, Churn', The Mediator (Substack)"
 created: 2026-03-01
 related:
-  - "cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives"
+- cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives
 reweave_edges:
-  - "cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives|related|2026-04-04"
+- cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives|related|2026-04-04
 ---
 
 # streaming churn may be permanently uneconomic because maintenance marketing consumes up to half of average revenue per user
diff --git a/domains/entertainment/substantive-analysis-of-named-accounts-in-long-form-articles-converts-synthesis-into-distribution-through-reciprocal-engagement.md b/domains/entertainment/substantive-analysis-of-named-accounts-in-long-form-articles-converts-synthesis-into-distribution-through-reciprocal-engagement.md
index 413a23f7..1be61159 100644
--- a/domains/entertainment/substantive-analysis-of-named-accounts-in-long-form-articles-converts-synthesis-into-distribution-through-reciprocal-engagement.md
+++ b/domains/entertainment/substantive-analysis-of-named-accounts-in-long-form-articles-converts-synthesis-into-distribution-through-reciprocal-engagement.md
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Clay, from arscontexta × molt_cornelius case study (Phase 3 field reports)"
 created: 2026-03-28
 related:
-  - "daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats"
+- daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats
 reweave_edges:
-  - "daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats|related|2026-04-04"
+- daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats|related|2026-04-04
 ---
 
 # Substantive analysis of named accounts in long-form articles converts synthesis into distribution through reciprocal engagement
diff --git a/domains/entertainment/the TV industry needs diversified small bets like venture capital not concentrated large bets because power law returns dominate.md b/domains/entertainment/the TV industry needs diversified small bets like venture capital not concentrated large bets because power law returns dominate.md
index 845b7231..39ea3e70 100644
--- a/domains/entertainment/the TV industry needs diversified small bets like venture capital not concentrated large bets because power law returns dominate.md	
+++ b/domains/entertainment/the TV industry needs diversified small bets like venture capital not concentrated large bets because power law returns dominate.md	
@@ -6,11 +6,11 @@ confidence: likely
 source: "Doug Shapiro, 'You Can't Just Make the Hits', The Mediator (Substack)"
 created: 2026-03-01
 related:
-  - "cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives"
-  - "studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry"
+- cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives
+- studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry
 reweave_edges:
-  - "cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives|related|2026-04-04"
-  - "studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry|related|2026-04-04"
+- cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives|related|2026-04-04
+- studio consolidation shrinks the cultural collective brain while creator economy expansion grows it predicting accelerating innovation asymmetry|related|2026-04-04
 ---
 
 # the TV industry needs diversified small bets like venture capital not concentrated large bets because power law returns dominate
diff --git a/domains/entertainment/the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership.md b/domains/entertainment/the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership.md
index c41fc46f..ddbb142c 100644
--- a/domains/entertainment/the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership.md	
+++ b/domains/entertainment/the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Media attractor state derivation using vault knowledge (16 Shapiro notes, community ownership notes, memetics notes) + 2026 industry research; Rumelt Good Strategy Bad Strategy; Shapiro The Mediator; Christensen disruption theory"
 created: 2026-03-01
 related:
-  - "cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives"
+- cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives
 reweave_edges:
-  - "cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives|related|2026-04-04"
+- cost plus deals shifted economic risk from talent to streamers while misaligning creative incentives|related|2026-04-04
 ---
 
 # the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership
diff --git a/domains/entertainment/traditional media buyers now seek content with pre-existing community engagement data as risk mitigation.md b/domains/entertainment/traditional media buyers now seek content with pre-existing community engagement data as risk mitigation.md
index 5b69e643..ee89ee01 100644
--- a/domains/entertainment/traditional media buyers now seek content with pre-existing community engagement data as risk mitigation.md	
+++ b/domains/entertainment/traditional media buyers now seek content with pre-existing community engagement data as risk mitigation.md	
@@ -6,14 +6,14 @@ confidence: experimental
 source: "Clay, from Variety exclusive on Mediawan Kids & Family / Claynosaurz animated series partnership (June 2025)"
 created: 2026-03-06
 supports:
-  - "Claynosaurz"
-  - "youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing"
+- Claynosaurz
+- youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing
 reweave_edges:
-  - "Claynosaurz|supports|2026-04-04"
-  - "community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms|related|2026-04-04"
-  - "youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing|supports|2026-04-04"
+- Claynosaurz|supports|2026-04-04
+- community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms|related|2026-04-04
+- youtube first distribution for major studio coproductions signals platform primacy over traditional broadcast windowing|supports|2026-04-04
 related:
-  - "community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms"
+- community co creation in animation production includes storyboard sharing script collaboration and collectible integration as specific mechanisms
 ---
 
 # Traditional media buyers now seek content with pre-existing community engagement data as risk mitigation
diff --git a/domains/entertainment/transparent-AI-authorship-with-epistemic-vulnerability-can-build-audience-trust-in-analytical-content-where-obscured-AI-involvement-cannot.md b/domains/entertainment/transparent-AI-authorship-with-epistemic-vulnerability-can-build-audience-trust-in-analytical-content-where-obscured-AI-involvement-cannot.md
index b0fb81d6..d102acae 100644
--- a/domains/entertainment/transparent-AI-authorship-with-epistemic-vulnerability-can-build-audience-trust-in-analytical-content-where-obscured-AI-involvement-cannot.md
+++ b/domains/entertainment/transparent-AI-authorship-with-epistemic-vulnerability-can-build-audience-trust-in-analytical-content-where-obscured-AI-involvement-cannot.md
@@ -7,11 +7,11 @@ source: "Clay, from arscontexta × molt_cornelius case study (888K article views
 created: 2026-03-28
 depends_on: ["human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant", "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability"]
 related:
-  - "substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement"
-  - "transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural"
+- substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement
+- transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural
 reweave_edges:
-  - "substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement|related|2026-04-04"
-  - "transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural|related|2026-04-04"
+- substantive analysis of named accounts in long form articles converts synthesis into distribution through reciprocal engagement|related|2026-04-04
+- transparent AI content succeeds through metaphor reframing not quality improvement because changing the frame changes which conclusions feel natural|related|2026-04-04
 ---
 
 # Transparent AI authorship with epistemic vulnerability can build audience trust in analytical content where obscured AI involvement cannot
diff --git a/domains/entertainment/vertical-content-applying-a-universal-methodology-to-specific-audiences-creates-N-separate-distribution-channels-from-a-single-product.md b/domains/entertainment/vertical-content-applying-a-universal-methodology-to-specific-audiences-creates-N-separate-distribution-channels-from-a-single-product.md
index c237b6bd..a4c2aad2 100644
--- a/domains/entertainment/vertical-content-applying-a-universal-methodology-to-specific-audiences-creates-N-separate-distribution-channels-from-a-single-product.md
+++ b/domains/entertainment/vertical-content-applying-a-universal-methodology-to-specific-audiences-creates-N-separate-distribution-channels-from-a-single-product.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "Clay, from arscontexta × molt_cornelius case study and vertical guide corpus (2026-02-16 through 2026-03-21)"
 created: 2026-03-28
 related:
-  - "daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats"
+- daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats
 reweave_edges:
-  - "daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats|related|2026-04-04"
+- daily content cadence with diminishing returns triggered format pivots compounds attention more effectively than static formats|related|2026-04-04
 ---
 
 # Vertical content applying a universal methodology to specific audiences creates N separate distribution channels from a single product
diff --git a/domains/grand-strategy/ai-weapons-governance-tractability-stratifies-by-strategic-utility-creating-ottawa-treaty-path-for-medium-utility-categories.md b/domains/grand-strategy/ai-weapons-governance-tractability-stratifies-by-strategic-utility-creating-ottawa-treaty-path-for-medium-utility-categories.md
index dc927aaa..f3abe5e2 100644
--- a/domains/grand-strategy/ai-weapons-governance-tractability-stratifies-by-strategic-utility-creating-ottawa-treaty-path-for-medium-utility-categories.md
+++ b/domains/grand-strategy/ai-weapons-governance-tractability-stratifies-by-strategic-utility-creating-ottawa-treaty-path-for-medium-utility-categories.md
@@ -13,9 +13,9 @@ attribution:
       context: "Leo (synthesis from US Army Project Convergence, DARPA programs, CCW GGE documentation, CNAS autonomous weapons reports, HRW 'Losing Humanity' 2012)"
 related: ["the legislative ceiling on military ai governance is conditional not absolute cwc proves binding governance without carveouts is achievable but requires three currently absent conditions"]
 supports:
-  - "Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional"
+- Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional
 reweave_edges:
-  - "Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional|supports|2026-04-04"
+- Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional|supports|2026-04-04
 ---
 
 # AI weapons governance tractability stratifies by strategic utility — high-utility targeting AI faces firm legislative ceiling while medium-utility loitering munitions and autonomous naval mines follow Ottawa Treaty path where stigmatization plus low strategic exclusivity enables binding instruments outside CCW
diff --git a/domains/grand-strategy/international-ai-governance-stepping-stone-theory-fails-because-strategic-actors-opt-out-at-non-binding-stage.md b/domains/grand-strategy/international-ai-governance-stepping-stone-theory-fails-because-strategic-actors-opt-out-at-non-binding-stage.md
index 2583a89d..0b9baf03 100644
--- a/domains/grand-strategy/international-ai-governance-stepping-stone-theory-fails-because-strategic-actors-opt-out-at-non-binding-stage.md
+++ b/domains/grand-strategy/international-ai-governance-stepping-stone-theory-fails-because-strategic-actors-opt-out-at-non-binding-stage.md
@@ -11,12 +11,12 @@ scope: structural
 sourcer: EPC, Future Society, Amnesty International
 related_claims: ["eu-ai-act-article-2-3-national-security-exclusion-confirms-legislative-ceiling-is-cross-jurisdictional.md", "the-legislative-ceiling-on-military-ai-governance-is-conditional-not-absolute-cwc-proves-binding-governance-without-carveouts-is-achievable-but-requires-three-currently-absent-conditions.md"]
 supports:
-  - "AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out"
+- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out
 reweave_edges:
-  - "AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|supports|2026-04-04"
-  - "Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional|challenges|2026-04-04"
+- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|supports|2026-04-04
+- Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional|challenges|2026-04-04
 challenges:
-  - "Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional"
+- Binding international AI governance achieves legal form through scope stratification — the Council of Europe AI Framework Convention entered force by explicitly excluding national security, defense applications, and making private sector obligations optional
 ---
 
 # International AI governance stepping-stone theory (voluntary → non-binding → binding) fails because strategic actors with frontier AI capabilities opt out even at the non-binding declaration stage
diff --git a/domains/grand-strategy/the-legislative-ceiling-on-military-ai-governance-is-conditional-not-absolute-cwc-proves-binding-governance-without-carveouts-is-achievable-but-requires-three-currently-absent-conditions.md b/domains/grand-strategy/the-legislative-ceiling-on-military-ai-governance-is-conditional-not-absolute-cwc-proves-binding-governance-without-carveouts-is-achievable-but-requires-three-currently-absent-conditions.md
index ac2fb363..faa4c7c4 100644
--- a/domains/grand-strategy/the-legislative-ceiling-on-military-ai-governance-is-conditional-not-absolute-cwc-proves-binding-governance-without-carveouts-is-achievable-but-requires-three-currently-absent-conditions.md
+++ b/domains/grand-strategy/the-legislative-ceiling-on-military-ai-governance-is-conditional-not-absolute-cwc-proves-binding-governance-without-carveouts-is-achievable-but-requires-three-currently-absent-conditions.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "leo"
       context: "Leo synthesis from CWC treaty record (1997), OPCW verification history, NPT/BWC/Ottawa Treaty comparison"
 supports:
-  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories"
+- ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories
 reweave_edges:
-  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories|supports|2026-04-04"
+- ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories|supports|2026-04-04
 ---
 
 # The legislative ceiling on military AI governance is conditional rather than logically necessary — the CWC demonstrates that binding mandatory governance of military programs without great-power carve-outs is achievable when three enabling conditions converge: weapon stigmatization, verification feasibility, and reduced strategic utility — all currently absent and on negative trajectory for AI
diff --git a/domains/health/AI compresses drug discovery timelines by 30-40 percent but has not yet improved the 90 percent clinical failure rate that determines industry economics.md b/domains/health/AI compresses drug discovery timelines by 30-40 percent but has not yet improved the 90 percent clinical failure rate that determines industry economics.md
index e9c96bed..81903a73 100644
--- a/domains/health/AI compresses drug discovery timelines by 30-40 percent but has not yet improved the 90 percent clinical failure rate that determines industry economics.md	
+++ b/domains/health/AI compresses drug discovery timelines by 30-40 percent but has not yet improved the 90 percent clinical failure rate that determines industry economics.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "AI drug discovery pipeline data 2026; Insilico Medicine rentosertib Phase IIa; Isomorphic Labs $3B partnerships; WEF drug discovery analysis January 2026"
 confidence: likely
 related:
-  - "FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate"
+- FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate
 reweave_edges:
-  - "FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate|related|2026-03-28"
+- FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate|related|2026-03-28
 ---
 
 # AI compresses drug discovery timelines by 30-40 percent but has not yet improved the 90 percent clinical failure rate that determines industry economics
diff --git a/domains/health/AI middleware bridges consumer wearable data to clinical utility because continuous data is too voluminous for direct clinician review.md b/domains/health/AI middleware bridges consumer wearable data to clinical utility because continuous data is too voluminous for direct clinician review.md
index 25788439..4963313f 100644
--- a/domains/health/AI middleware bridges consumer wearable data to clinical utility because continuous data is too voluminous for direct clinician review.md	
+++ b/domains/health/AI middleware bridges consumer wearable data to clinical utility because continuous data is too voluminous for direct clinician review.md	
@@ -6,9 +6,9 @@ created: 2026-02-17
 source: "Mayo Clinic Apple Watch ECG integration; FHIR R6 interoperability standards; AI middleware architecture analysis (February 2026)"
 confidence: likely
 supports:
-  - "rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility"
+- rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility
 reweave_edges:
-  - "rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility|supports|2026-03-31"
+- rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility|supports|2026-03-31
 ---
 
 # AI middleware bridges consumer wearable data to clinical utility because continuous data is too voluminous for direct clinician review
diff --git a/domains/health/AI scribes reached 92 percent provider adoption in under 3 years because documentation is the rare healthcare workflow where AI value is immediate unambiguous and low-risk.md b/domains/health/AI scribes reached 92 percent provider adoption in under 3 years because documentation is the rare healthcare workflow where AI value is immediate unambiguous and low-risk.md
index 5db266ab..bc7ea491 100644
--- a/domains/health/AI scribes reached 92 percent provider adoption in under 3 years because documentation is the rare healthcare workflow where AI value is immediate unambiguous and low-risk.md	
+++ b/domains/health/AI scribes reached 92 percent provider adoption in under 3 years because documentation is the rare healthcare workflow where AI value is immediate unambiguous and low-risk.md	
@@ -7,9 +7,9 @@ confidence: proven
 source: "Bessemer Venture Partners, State of Health AI 2026 (bvp.com/atlas/state-of-health-ai-2026)"
 created: 2026-03-07
 related:
-  - "AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output"
+- AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output
 reweave_edges:
-  - "AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output|related|2026-03-28"
+- AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output|related|2026-03-28
 ---
 
 # AI scribes reached 92 percent provider adoption in under 3 years because documentation is the rare healthcare workflow where AI value is immediate unambiguous and low-risk
diff --git a/domains/health/AI-native health companies achieve 3-5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output.md b/domains/health/AI-native health companies achieve 3-5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output.md
index fac1ecd9..d4cbf526 100644
--- a/domains/health/AI-native health companies achieve 3-5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output.md	
+++ b/domains/health/AI-native health companies achieve 3-5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output.md	
@@ -6,9 +6,9 @@ confidence: likely
 source: "Bessemer Venture Partners, State of Health AI 2026 (bvp.com/atlas/state-of-health-ai-2026)"
 created: 2026-03-07
 related:
-  - "home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift"
+- home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift
 reweave_edges:
-  - "home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift|related|2026-03-31"
+- home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift|related|2026-03-31
 ---
 
 # AI-native health companies achieve 3-5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output
diff --git a/domains/health/Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s.md b/domains/health/Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s.md
index 0e58e73c..46a34ea1 100644
--- a/domains/health/Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s.md	
+++ b/domains/health/Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s.md	
@@ -6,9 +6,9 @@ source: "Architectural Investing, Ch. Epidemiological Transition; JAMA 2019"
 confidence: proven
 created: 2026-02-28
 related:
-  - "hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure"
+- hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure
 reweave_edges:
-  - "hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure|related|2026-03-31"
+- hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure|related|2026-03-31
 ---
 
 # Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s
diff --git a/domains/health/Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated.md b/domains/health/Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated.md
index c894f469..e96d740a 100644
--- a/domains/health/Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated.md	
+++ b/domains/health/Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated.md	
@@ -6,9 +6,9 @@ source: "Architectural Investing, Ch. Dark Side of Specialization; Moss (Salt Su
 confidence: proven
 created: 2026-02-28
 related:
-  - "famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems"
+- famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems
 reweave_edges:
-  - "famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems|related|2026-03-31"
+- famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems|related|2026-03-31
 ---
 
 # Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated
diff --git a/domains/health/CMS 2027 chart review exclusion targets vertical integration profit arbitrage by removing upcoded diagnoses from MA risk scoring.md b/domains/health/CMS 2027 chart review exclusion targets vertical integration profit arbitrage by removing upcoded diagnoses from MA risk scoring.md
index 3edbeda5..f4ee1241 100644
--- a/domains/health/CMS 2027 chart review exclusion targets vertical integration profit arbitrage by removing upcoded diagnoses from MA risk scoring.md	
+++ b/domains/health/CMS 2027 chart review exclusion targets vertical integration profit arbitrage by removing upcoded diagnoses from MA risk scoring.md	
@@ -6,9 +6,9 @@ created: 2026-02-20
 source: "CMS 2027 Advance Notice February 2026; Arnold & Fulton Health Affairs November 2025; STAT News Bannow/Tribunus November 2024; Grassley Senate Report January 2026; FREOPP Rigney December 2025; Milliman/PhRMA Robb & Karcher February 2026"
 confidence: proven
 related:
-  - "medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice"
+- medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice
 reweave_edges:
-  - "medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice|related|2026-03-31"
+- medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice|related|2026-03-31
 ---
 
 # CMS 2027 chart review exclusion targets vertical integration profit arbitrage by removing upcoded diagnoses from MA risk scoring
diff --git a/domains/health/Devoted is the fastest-growing MA plan at 121 percent growth because purpose-built technology outperforms acquisition-based vertical integration during CMS tightening.md b/domains/health/Devoted is the fastest-growing MA plan at 121 percent growth because purpose-built technology outperforms acquisition-based vertical integration during CMS tightening.md
index 00bf8358..20b0a9f4 100644
--- a/domains/health/Devoted is the fastest-growing MA plan at 121 percent growth because purpose-built technology outperforms acquisition-based vertical integration during CMS tightening.md	
+++ b/domains/health/Devoted is the fastest-growing MA plan at 121 percent growth because purpose-built technology outperforms acquisition-based vertical integration during CMS tightening.md	
@@ -6,9 +6,9 @@ created: 2026-03-06
 source: "Devoted Health membership data 2025-2026; CMS 2027 Advance Notice February 2026; UnitedHealth 2026 guidance; Humana star ratings impact analysis; TSB Series F and F-Prime due diligence"
 confidence: likely
 related:
-  - "medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice"
+- medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice
 reweave_edges:
-  - "medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice|related|2026-03-31"
+- medicare advantage market is an oligopoly with unitedhealthgroup and humana controlling 46 percent despite nominal plan choice|related|2026-03-31
 ---
 
 # Devoted is the fastest-growing MA plan at 121 percent growth because purpose-built technology outperforms acquisition-based vertical integration during CMS tightening
diff --git a/domains/health/ambient-ai-scribes-create-three-party-liability-exposure-outside-fda-oversight.md b/domains/health/ambient-ai-scribes-create-three-party-liability-exposure-outside-fda-oversight.md
index 5fda44b2..56105938 100644
--- a/domains/health/ambient-ai-scribes-create-three-party-liability-exposure-outside-fda-oversight.md
+++ b/domains/health/ambient-ai-scribes-create-three-party-liability-exposure-outside-fda-oversight.md
@@ -11,9 +11,9 @@ scope: structural
 sourcer: JCO Oncology Practice
 related_claims: ["[[ambient AI documentation reduces physician documentation burden by 73 percent but the relationship between automation and burnout is more complex than time savings alone]]", "[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]", "[[healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software]]"]
 supports:
-  - "Ambient AI scribes are generating wiretapping and biometric privacy lawsuits because health systems deployed without patient consent protocols for third-party audio processing"
+- Ambient AI scribes are generating wiretapping and biometric privacy lawsuits because health systems deployed without patient consent protocols for third-party audio processing
 reweave_edges:
-  - "Ambient AI scribes are generating wiretapping and biometric privacy lawsuits because health systems deployed without patient consent protocols for third-party audio processing|supports|2026-04-03"
+- Ambient AI scribes are generating wiretapping and biometric privacy lawsuits because health systems deployed without patient consent protocols for third-party audio processing|supports|2026-04-03
 ---
 
 # Ambient AI scribes create simultaneous malpractice exposure for clinicians, institutional liability for hospitals, and product liability for manufacturers while operating outside FDA medical device regulation
diff --git a/domains/health/ambient-ai-scribes-face-wiretapping-litigation-for-consent-violations.md b/domains/health/ambient-ai-scribes-face-wiretapping-litigation-for-consent-violations.md
index 311dd62f..48d2ad7f 100644
--- a/domains/health/ambient-ai-scribes-face-wiretapping-litigation-for-consent-violations.md
+++ b/domains/health/ambient-ai-scribes-face-wiretapping-litigation-for-consent-violations.md
@@ -11,9 +11,9 @@ scope: structural
 sourcer: JCO Oncology Practice
 related_claims: ["[[ambient AI documentation reduces physician documentation burden by 73 percent but the relationship between automation and burnout is more complex than time savings alone]]", "[[healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software]]"]
 related:
-  - "Ambient AI scribes create simultaneous malpractice exposure for clinicians, institutional liability for hospitals, and product liability for manufacturers while operating outside FDA medical device regulation"
+- Ambient AI scribes create simultaneous malpractice exposure for clinicians, institutional liability for hospitals, and product liability for manufacturers while operating outside FDA medical device regulation
 reweave_edges:
-  - "Ambient AI scribes create simultaneous malpractice exposure for clinicians, institutional liability for hospitals, and product liability for manufacturers while operating outside FDA medical device regulation|related|2026-04-03"
+- Ambient AI scribes create simultaneous malpractice exposure for clinicians, institutional liability for hospitals, and product liability for manufacturers while operating outside FDA medical device regulation|related|2026-04-03
 ---
 
 # Ambient AI scribes are generating wiretapping and biometric privacy lawsuits because health systems deployed without patient consent protocols for third-party audio processing
diff --git a/domains/health/caregiver-workforce-crisis-shows-all-50-states-experiencing-shortages-with-43-states-reporting-facility-closures-signaling-care-infrastructure-collapse.md b/domains/health/caregiver-workforce-crisis-shows-all-50-states-experiencing-shortages-with-43-states-reporting-facility-closures-signaling-care-infrastructure-collapse.md
index 771a2036..19ea7d87 100644
--- a/domains/health/caregiver-workforce-crisis-shows-all-50-states-experiencing-shortages-with-43-states-reporting-facility-closures-signaling-care-infrastructure-collapse.md
+++ b/domains/health/caregiver-workforce-crisis-shows-all-50-states-experiencing-shortages-with-43-states-reporting-facility-closures-signaling-care-infrastructure-collapse.md
@@ -7,9 +7,9 @@ confidence: proven
 source: "AARP 2025 Caregiving Report"
 created: 2026-03-11
 supports:
-  - "family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population"
+- family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population
 reweave_edges:
-  - "family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population|supports|2026-03-28"
+- family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population|supports|2026-03-28
 ---
 
 # Caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse
diff --git a/domains/health/consumer willingness to pay out of pocket for AI-enhanced care is outpacing reimbursement creating a cash-pay adoption pathway that bypasses traditional payer gatekeeping.md b/domains/health/consumer willingness to pay out of pocket for AI-enhanced care is outpacing reimbursement creating a cash-pay adoption pathway that bypasses traditional payer gatekeeping.md
index fbeef962..2a9bcf33 100644
--- a/domains/health/consumer willingness to pay out of pocket for AI-enhanced care is outpacing reimbursement creating a cash-pay adoption pathway that bypasses traditional payer gatekeeping.md	
+++ b/domains/health/consumer willingness to pay out of pocket for AI-enhanced care is outpacing reimbursement creating a cash-pay adoption pathway that bypasses traditional payer gatekeeping.md	
@@ -7,9 +7,9 @@ confidence: likely
 source: "Bessemer Venture Partners, State of Health AI 2026 (bvp.com/atlas/state-of-health-ai-2026)"
 created: 2026-03-07
 related:
-  - "CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo"
+- CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo
 reweave_edges:
-  - "CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo|related|2026-03-28"
+- CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo|related|2026-03-28
 ---
 
 # consumer willingness to pay out of pocket for AI-enhanced care is outpacing reimbursement creating a cash-pay adoption pathway that bypasses traditional payer gatekeeping
diff --git a/domains/health/family-caregiving-functions-as-poverty-transmission-mechanism-forcing-debt-savings-depletion-and-food-insecurity-on-working-age-population.md b/domains/health/family-caregiving-functions-as-poverty-transmission-mechanism-forcing-debt-savings-depletion-and-food-insecurity-on-working-age-population.md
index 75e7c1f1..a706cfd4 100644
--- a/domains/health/family-caregiving-functions-as-poverty-transmission-mechanism-forcing-debt-savings-depletion-and-food-insecurity-on-working-age-population.md
+++ b/domains/health/family-caregiving-functions-as-poverty-transmission-mechanism-forcing-debt-savings-depletion-and-food-insecurity-on-working-age-population.md
@@ -7,9 +7,9 @@ confidence: likely
 source: "AARP 2025 Caregiving Report"
 created: 2026-03-11
 supports:
-  - "caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse"
+- caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse
 reweave_edges:
-  - "caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse|supports|2026-03-28"
+- caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse|supports|2026-03-28
 ---
 
 # Family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working-age population
diff --git a/domains/health/fda-treats-automation-bias-as-transparency-problem-contradicting-evidence-that-visibility-does-not-prevent-deference.md b/domains/health/fda-treats-automation-bias-as-transparency-problem-contradicting-evidence-that-visibility-does-not-prevent-deference.md
index f4a5eb29..aa00de79 100644
--- a/domains/health/fda-treats-automation-bias-as-transparency-problem-contradicting-evidence-that-visibility-does-not-prevent-deference.md
+++ b/domains/health/fda-treats-automation-bias-as-transparency-problem-contradicting-evidence-that-visibility-does-not-prevent-deference.md
@@ -11,9 +11,9 @@ scope: causal
 sourcer: "Covington & Burling LLP"
 related_claims: ["[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]", "[[medical LLM benchmark performance does not translate to clinical impact because physicians with and without AI access achieve similar diagnostic accuracy in randomized trials]]"]
 challenges:
-  - "FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance"
+- FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance
 reweave_edges:
-  - "FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance|challenges|2026-04-03"
+- FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance|challenges|2026-04-03
 ---
 
 # FDA's 2026 CDS guidance treats automation bias as a transparency problem solvable by showing clinicians the underlying logic despite research evidence that physicians defer to AI outputs even when reasoning is visible and reviewable
diff --git a/domains/health/five-adverse-sdoh-independently-predict-hypertension-risk-food-insecurity-unemployment-poverty-low-education-inadequate-insurance.md b/domains/health/five-adverse-sdoh-independently-predict-hypertension-risk-food-insecurity-unemployment-poverty-low-education-inadequate-insurance.md
index 91f5f29e..cedc2846 100644
--- a/domains/health/five-adverse-sdoh-independently-predict-hypertension-risk-food-insecurity-unemployment-poverty-low-education-inadequate-insurance.md
+++ b/domains/health/five-adverse-sdoh-independently-predict-hypertension-risk-food-insecurity-unemployment-poverty-low-education-inadequate-insurance.md
@@ -13,9 +13,9 @@ attribution:
       context: "American Heart Association Hypertension journal, systematic review of 57 studies following PRISMA guidelines, 2024"
 related: ["only 23 percent of treated us hypertensives achieve blood pressure control demonstrating pharmacological availability is not the binding constraint"]
 supports:
-  - "food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed"
+- food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed
 reweave_edges:
-  - "food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed|supports|2026-04-03"
+- food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed|supports|2026-04-03
 ---
 
 # Five adverse SDOH independently predict hypertension risk and poor BP control: food insecurity, unemployment, poverty-level income, low education, and government or no insurance
diff --git a/domains/health/food-as-medicine-interventions-produce-clinically-significant-improvements-during-active-delivery-but-benefits-fully-revert-when-structural-food-environment-support-is-removed.md b/domains/health/food-as-medicine-interventions-produce-clinically-significant-improvements-during-active-delivery-but-benefits-fully-revert-when-structural-food-environment-support-is-removed.md
index eef1b5cc..acff3419 100644
--- a/domains/health/food-as-medicine-interventions-produce-clinically-significant-improvements-during-active-delivery-but-benefits-fully-revert-when-structural-food-environment-support-is-removed.md
+++ b/domains/health/food-as-medicine-interventions-produce-clinically-significant-improvements-during-active-delivery-but-benefits-fully-revert-when-structural-food-environment-support-is-removed.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "stat-news-/-stephen-juraschek"
       context: "Stephen Juraschek et al., AHA 2025 Scientific Sessions, 12-week RCT with 6-month follow-up"
 supports:
-  - "Medically tailored meals produce -9.67 mmHg systolic BP reductions in food-insecure hypertensive patients — comparable to first-line pharmacotherapy — suggesting dietary intervention at the level of structural food access is a clinical-grade treatment for hypertension"
+- Medically tailored meals produce -9.67 mmHg systolic BP reductions in food-insecure hypertensive patients — comparable to first-line pharmacotherapy — suggesting dietary intervention at the level of structural food access is a clinical-grade treatment for hypertension
 reweave_edges:
-  - "Medically tailored meals produce -9.67 mmHg systolic BP reductions in food-insecure hypertensive patients — comparable to first-line pharmacotherapy — suggesting dietary intervention at the level of structural food access is a clinical-grade treatment for hypertension|supports|2026-04-03"
+- Medically tailored meals produce -9.67 mmHg systolic BP reductions in food-insecure hypertensive patients — comparable to first-line pharmacotherapy — suggesting dietary intervention at the level of structural food access is a clinical-grade treatment for hypertension|supports|2026-04-03
 ---
 
 # Food-as-medicine interventions produce clinically significant BP and LDL improvements during active delivery but benefits fully revert to baseline when structural food environment support is removed, confirming the food environment as the proximate disease-generating mechanism rather than a modifiable behavioral choice
diff --git a/domains/health/food-insecurity-independently-predicts-41-percent-higher-cvd-incidence-establishing-temporality-for-sdoh-cardiovascular-pathway.md b/domains/health/food-insecurity-independently-predicts-41-percent-higher-cvd-incidence-establishing-temporality-for-sdoh-cardiovascular-pathway.md
index 8dd97889..7c11dd16 100644
--- a/domains/health/food-insecurity-independently-predicts-41-percent-higher-cvd-incidence-establishing-temporality-for-sdoh-cardiovascular-pathway.md
+++ b/domains/health/food-insecurity-independently-predicts-41-percent-higher-cvd-incidence-establishing-temporality-for-sdoh-cardiovascular-pathway.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "northwestern-medicine-/-cardia-study-group"
       context: "CARDIA Study Group / Northwestern Medicine, JAMA Cardiology 2025, 3,616 participants followed 2000-2020"
 supports:
-  - "food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed"
+- food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed
 reweave_edges:
-  - "food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed|supports|2026-04-03"
+- food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed|supports|2026-04-03
 ---
 
 # Food insecurity in young adulthood independently predicts 41% higher CVD incidence in midlife after adjustment for socioeconomic factors, establishing temporality for the SDOH → cardiovascular disease pathway
diff --git a/domains/health/gene editing is shifting from ex vivo to in vivo delivery via lipid nanoparticles which will reduce curative therapy costs from millions to hundreds of thousands per treatment.md b/domains/health/gene editing is shifting from ex vivo to in vivo delivery via lipid nanoparticles which will reduce curative therapy costs from millions to hundreds of thousands per treatment.md
index 2cf7ad41..7778dd26 100644
--- a/domains/health/gene editing is shifting from ex vivo to in vivo delivery via lipid nanoparticles which will reduce curative therapy costs from millions to hundreds of thousands per treatment.md	
+++ b/domains/health/gene editing is shifting from ex vivo to in vivo delivery via lipid nanoparticles which will reduce curative therapy costs from millions to hundreds of thousands per treatment.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "IGI CRISPR clinical trials update 2025; BioPharma Dive Verve PCSK9 data; BioInformant FDA-approved CGT database; GEN reimbursement outlook 2025; PMC gene therapy pipeline analysis"
 confidence: likely
 related:
-  - "FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate"
+- FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate
 reweave_edges:
-  - "FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate|related|2026-03-28"
+- FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate|related|2026-03-28
 ---
 
 # gene editing is shifting from ex vivo to in vivo delivery via lipid nanoparticles which will reduce curative therapy costs from millions to hundreds of thousands per treatment
diff --git a/domains/health/healthcare AI creates a Jevons paradox because adding capacity to sick care induces more demand for sick care.md b/domains/health/healthcare AI creates a Jevons paradox because adding capacity to sick care induces more demand for sick care.md
index 1ef903d4..6ac8e3b8 100644
--- a/domains/health/healthcare AI creates a Jevons paradox because adding capacity to sick care induces more demand for sick care.md	
+++ b/domains/health/healthcare AI creates a Jevons paradox because adding capacity to sick care induces more demand for sick care.md	
@@ -9,15 +9,15 @@ created: 2026-02-23
 source: "Devoted Health AI Overview Memo, 2026"
 confidence: likely
 related:
-  - "AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output"
-  - "CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo"
-  - "consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping"
+- AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output
+- CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo
+- consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping
 supports:
-  - "optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns"
+- optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns
 reweave_edges:
-  - "AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output|related|2026-03-28"
-  - "CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo|related|2026-03-28"
-  - "consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping|related|2026-03-28"
+- AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output|related|2026-03-28
+- CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo|related|2026-03-28
+- consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping|related|2026-03-28
 ---
 
 # healthcare AI creates a Jevons paradox because adding capacity to sick care induces more demand for sick care
diff --git a/domains/health/healthcare AI funding follows a winner-take-most pattern with category leaders absorbing capital at unprecedented velocity while 35 percent of deals are flat or down rounds.md b/domains/health/healthcare AI funding follows a winner-take-most pattern with category leaders absorbing capital at unprecedented velocity while 35 percent of deals are flat or down rounds.md
index c0091f87..2e57ad18 100644
--- a/domains/health/healthcare AI funding follows a winner-take-most pattern with category leaders absorbing capital at unprecedented velocity while 35 percent of deals are flat or down rounds.md	
+++ b/domains/health/healthcare AI funding follows a winner-take-most pattern with category leaders absorbing capital at unprecedented velocity while 35 percent of deals are flat or down rounds.md	
@@ -7,9 +7,9 @@ created: 2026-02-17
 source: "Health tech VC landscape analysis February 2026; OpenEvidence Abridge Hippocratic AI fundraising disclosures; Agilon Health SEC filings; Rock Health digital health funding reports 2025; Bessemer Venture Partners State of Health AI 2026"
 confidence: likely
 related:
-  - "AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output"
+- AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output
 reweave_edges:
-  - "AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output|related|2026-03-28"
+- AI native health companies achieve 3 5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output|related|2026-03-28
 ---
 
 # healthcare AI funding follows a winner-take-most pattern with category leaders absorbing capital at unprecedented velocity while 35 percent of deals are flat or down rounds
diff --git a/domains/health/healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software.md b/domains/health/healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software.md
index 106f5655..bcf2e00a 100644
--- a/domains/health/healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software.md	
+++ b/domains/health/healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software.md	
@@ -9,13 +9,13 @@ created: 2026-02-18
 source: "DJ Patil interviewing Bob Wachter, Commonwealth Club, February 9 2026; Wachter 'A Giant Leap' (2026)"
 confidence: likely
 related:
-  - "CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo"
-  - "FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate"
-  - "consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping"
+- CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo
+- FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate
+- consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping
 reweave_edges:
-  - "CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo|related|2026-03-28"
-  - "FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate|related|2026-03-28"
-  - "consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping|related|2026-03-28"
+- CMS is creating AI specific reimbursement codes which will formalize a two speed adoption system where proven AI applications get payment parity while experimental ones remain in cash pay limbo|related|2026-03-28
+- FDA is replacing animal testing with AI models and organ on chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate|related|2026-03-28
+- consumer willingness to pay out of pocket for AI enhanced care is outpacing reimbursement creating a cash pay adoption pathway that bypasses traditional payer gatekeeping|related|2026-03-28
 ---
 
 # healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software
diff --git a/domains/health/home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift.md b/domains/health/home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift.md
index eeae8954..b37fb923 100644
--- a/domains/health/home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift.md
+++ b/domains/health/home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "McKinsey & Company, From Facility to Home: How Healthcare Could Shift by 2025 (2021)"
 created: 2026-03-11
 supports:
-  - "rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility"
+- rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility
 reweave_edges:
-  - "rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility|supports|2026-03-31"
+- rpm technology stack enables facility to home care migration through ai middleware that converts continuous data into clinical utility|supports|2026-03-31
 ---
 
 # Home-based care could capture $265 billion in Medicare spending by 2025 through hospital-at-home remote monitoring and post-acute shift
diff --git a/domains/health/japan-ltci-proves-mandatory-universal-long-term-care-insurance-is-viable-at-national-scale.md b/domains/health/japan-ltci-proves-mandatory-universal-long-term-care-insurance-is-viable-at-national-scale.md
index 443abcc0..ece14c6d 100644
--- a/domains/health/japan-ltci-proves-mandatory-universal-long-term-care-insurance-is-viable-at-national-scale.md
+++ b/domains/health/japan-ltci-proves-mandatory-universal-long-term-care-insurance-is-viable-at-national-scale.md
@@ -6,9 +6,9 @@ confidence: proven
 source: "PMC/JMA Journal, 'The Long-Term Care Insurance System in Japan: Past, Present, and Future' (2021)"
 created: 2026-03-11
 supports:
-  - "japan demographic trajectory provides 20 year preview of us long term care challenge"
+- japan demographic trajectory provides 20 year preview of us long term care challenge
 reweave_edges:
-  - "japan demographic trajectory provides 20 year preview of us long term care challenge|supports|2026-03-31"
+- japan demographic trajectory provides 20 year preview of us long term care challenge|supports|2026-03-31
 ---
 
 # Japan's LTCI proves mandatory universal long-term care insurance is viable at national scale
diff --git a/domains/health/medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program.md b/domains/health/medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program.md
index bab80b84..6c38df97 100644
--- a/domains/health/medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program.md
+++ b/domains/health/medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program.md
@@ -7,9 +7,9 @@ confidence: proven
 source: "Kaiser Family Foundation, Medicare Advantage in 2025: Enrollment Update and Key Trends (2025)"
 created: 2025-07-24
 supports:
-  - "chronic condition special needs plans grew 71 percent in one year indicating explosive demand for disease management infrastructure"
+- chronic condition special needs plans grew 71 percent in one year indicating explosive demand for disease management infrastructure
 reweave_edges:
-  - "chronic condition special needs plans grew 71 percent in one year indicating explosive demand for disease management infrastructure|supports|2026-03-28"
+- chronic condition special needs plans grew 71 percent in one year indicating explosive demand for disease management infrastructure|supports|2026-03-28
 ---
 
 # Medicare Advantage crossed majority enrollment in 2023 marking structural transformation from supplement to dominant program
diff --git a/domains/health/medicare-trust-fund-insolvency-accelerated-12-years-by-tax-policy-demonstrating-fiscal-fragility.md b/domains/health/medicare-trust-fund-insolvency-accelerated-12-years-by-tax-policy-demonstrating-fiscal-fragility.md
index ca268488..1f94d331 100644
--- a/domains/health/medicare-trust-fund-insolvency-accelerated-12-years-by-tax-policy-demonstrating-fiscal-fragility.md
+++ b/domains/health/medicare-trust-fund-insolvency-accelerated-12-years-by-tax-policy-demonstrating-fiscal-fragility.md
@@ -6,9 +6,9 @@ confidence: proven
 source: "Congressional Budget Office projections (March 2025, February 2026) via Healthcare Dive"
 created: 2026-03-11
 related:
-  - "medicare advantage spending gap grew 47x while enrollment doubled indicating scale worsens overpayment problem"
+- medicare advantage spending gap grew 47x while enrollment doubled indicating scale worsens overpayment problem
 reweave_edges:
-  - "medicare advantage spending gap grew 47x while enrollment doubled indicating scale worsens overpayment problem|related|2026-03-31"
+- medicare advantage spending gap grew 47x while enrollment doubled indicating scale worsens overpayment problem|related|2026-03-31
 ---
 
 # Medicare trust fund insolvency accelerated 12 years by single tax bill demonstrating fiscal fragility of demographic-dependent entitlements
diff --git a/domains/health/modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing.md b/domains/health/modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing.md
index 3cf5f859..b1fbd071 100644
--- a/domains/health/modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing.md	
+++ b/domains/health/modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing.md	
@@ -7,9 +7,9 @@ source: "Architectural Investing, Ch. Dark Side of Specialization; Harari (Sapie
 confidence: likely
 created: 2026-02-28
 related:
-  - "family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population"
+- family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population
 reweave_edges:
-  - "family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population|related|2026-03-28"
+- family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population|related|2026-03-28
 ---
 
 # modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing
diff --git a/domains/health/only-23-percent-of-treated-us-hypertensives-achieve-blood-pressure-control-demonstrating-pharmacological-availability-is-not-the-binding-constraint.md b/domains/health/only-23-percent-of-treated-us-hypertensives-achieve-blood-pressure-control-demonstrating-pharmacological-availability-is-not-the-binding-constraint.md
index f66eb750..edd9dcf4 100644
--- a/domains/health/only-23-percent-of-treated-us-hypertensives-achieve-blood-pressure-control-demonstrating-pharmacological-availability-is-not-the-binding-constraint.md
+++ b/domains/health/only-23-percent-of-treated-us-hypertensives-achieve-blood-pressure-control-demonstrating-pharmacological-availability-is-not-the-binding-constraint.md
@@ -12,14 +12,14 @@ attribution:
     - handle: "jacc-study-authors"
       context: "JACC longitudinal study 1999-2023, NHANES nationally representative data"
 supports:
-  - "hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure"
+- hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure
 reweave_edges:
-  - "hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure|supports|2026-03-31"
-  - "food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed|related|2026-04-03"
-  - "generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity|related|2026-04-03"
+- hypertension related cvd mortality doubled 2000 2023 despite available treatment indicating behavioral sdoh failure|supports|2026-03-31
+- food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed|related|2026-04-03
+- generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity|related|2026-04-03
 related:
-  - "food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed"
-  - "generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity"
+- food as medicine interventions produce clinically significant improvements during active delivery but benefits fully revert when structural food environment support is removed
+- generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity
 ---
 
 # Only 23 percent of treated US hypertensives achieve blood pressure control demonstrating pharmacological availability is not the binding constraint in cardiometabolic disease management
diff --git a/domains/health/regulatory-deregulation-occurring-during-active-harm-accumulation-not-after-safety-evidence.md b/domains/health/regulatory-deregulation-occurring-during-active-harm-accumulation-not-after-safety-evidence.md
index a1a82232..1016949c 100644
--- a/domains/health/regulatory-deregulation-occurring-during-active-harm-accumulation-not-after-safety-evidence.md
+++ b/domains/health/regulatory-deregulation-occurring-during-active-harm-accumulation-not-after-safety-evidence.md
@@ -11,11 +11,11 @@ scope: structural
 sourcer: ECRI
 related_claims: ["[[healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software]]", "[[clinical-ai-chatbot-misuse-documented-as-top-patient-safety-hazard-two-consecutive-years]]"]
 supports:
-  - "Clinical AI chatbot misuse is a documented ongoing harm source not a theoretical risk as evidenced by ECRI ranking it the number one health technology hazard for two consecutive years"
-  - "FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance"
+- Clinical AI chatbot misuse is a documented ongoing harm source not a theoretical risk as evidenced by ECRI ranking it the number one health technology hazard for two consecutive years
+- FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance
 reweave_edges:
-  - "Clinical AI chatbot misuse is a documented ongoing harm source not a theoretical risk as evidenced by ECRI ranking it the number one health technology hazard for two consecutive years|supports|2026-04-03"
-  - "FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance|supports|2026-04-03"
+- Clinical AI chatbot misuse is a documented ongoing harm source not a theoretical risk as evidenced by ECRI ranking it the number one health technology hazard for two consecutive years|supports|2026-04-03
+- FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance|supports|2026-04-03
 ---
 
 # Clinical AI deregulation is occurring during active harm accumulation not after evidence of safety as demonstrated by simultaneous FDA enforcement discretion expansion and ECRI top hazard designation in January 2026
diff --git a/domains/health/rpm-technology-stack-enables-facility-to-home-care-migration-through-ai-middleware-that-converts-continuous-data-into-clinical-utility.md b/domains/health/rpm-technology-stack-enables-facility-to-home-care-migration-through-ai-middleware-that-converts-continuous-data-into-clinical-utility.md
index b32592db..84972bb2 100644
--- a/domains/health/rpm-technology-stack-enables-facility-to-home-care-migration-through-ai-middleware-that-converts-continuous-data-into-clinical-utility.md
+++ b/domains/health/rpm-technology-stack-enables-facility-to-home-care-migration-through-ai-middleware-that-converts-continuous-data-into-clinical-utility.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "McKinsey & Company, From Facility to Home report (2021); market data on RPM and AI middleware growth"
 created: 2026-03-11
 supports:
-  - "home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift"
+- home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift
 reweave_edges:
-  - "home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift|supports|2026-03-31"
+- home based care could capture 265 billion in medicare spending by 2025 through hospital at home remote monitoring and post acute shift|supports|2026-03-31
 ---
 
 # RPM technology stack enables facility-to-home care migration through AI middleware that converts continuous data into clinical utility
diff --git a/domains/health/the mental health supply gap is widening not closing because demand outpaces workforce growth and technology primarily serves the already-served rather than expanding access.md b/domains/health/the mental health supply gap is widening not closing because demand outpaces workforce growth and technology primarily serves the already-served rather than expanding access.md
index 281f5ee0..a5917622 100644
--- a/domains/health/the mental health supply gap is widening not closing because demand outpaces workforce growth and technology primarily serves the already-served rather than expanding access.md	
+++ b/domains/health/the mental health supply gap is widening not closing because demand outpaces workforce growth and technology primarily serves the already-served rather than expanding access.md	
@@ -6,9 +6,9 @@ created: 2026-02-17
 source: "SAMHSA workforce projections 2025; KFF mental health HPSA data; PNAS Nexus telehealth equity analysis 2025; National Council workforce survey; Motivo Health licensure gap data 2025"
 confidence: likely
 supports:
-  - "generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity"
+- generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity
 reweave_edges:
-  - "generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity|supports|2026-04-03"
+- generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity|supports|2026-04-03
 ---
 
 # the mental health supply gap is widening not closing because demand outpaces workforce growth and technology primarily serves the already-served rather than expanding access
diff --git a/domains/health/unpaid-family-caregiving-provides-870-billion-annually-representing-16-percent-of-total-us-health-economy-invisible-to-policy-models.md b/domains/health/unpaid-family-caregiving-provides-870-billion-annually-representing-16-percent-of-total-us-health-economy-invisible-to-policy-models.md
index 910a2812..1bc05c91 100644
--- a/domains/health/unpaid-family-caregiving-provides-870-billion-annually-representing-16-percent-of-total-us-health-economy-invisible-to-policy-models.md
+++ b/domains/health/unpaid-family-caregiving-provides-870-billion-annually-representing-16-percent-of-total-us-health-economy-invisible-to-policy-models.md
@@ -8,12 +8,12 @@ confidence: proven
 source: "AARP 2025 Caregiving Report"
 created: 2026-03-11
 related:
-  - "caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse"
+- caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse
 reweave_edges:
-  - "caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse|related|2026-03-28"
-  - "family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population|supports|2026-03-28"
+- caregiver workforce crisis shows all 50 states experiencing shortages with 43 states reporting facility closures signaling care infrastructure collapse|related|2026-03-28
+- family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population|supports|2026-03-28
 supports:
-  - "family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population"
+- family caregiving functions as poverty transmission mechanism forcing debt savings depletion and food insecurity on working age population
 ---
 
 # Unpaid family caregiving provides 870 billion annually representing 16 percent of total US health economy invisible to policy models
diff --git a/domains/health/us-long-term-care-financing-gap-is-largest-unaddressed-structural-problem-in-american-healthcare.md b/domains/health/us-long-term-care-financing-gap-is-largest-unaddressed-structural-problem-in-american-healthcare.md
index cc44ebfc..15e5bca1 100644
--- a/domains/health/us-long-term-care-financing-gap-is-largest-unaddressed-structural-problem-in-american-healthcare.md
+++ b/domains/health/us-long-term-care-financing-gap-is-largest-unaddressed-structural-problem-in-american-healthcare.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "PMC/JMA Journal Japan LTCI paper (2021); comparison to US Medicare/Medicaid structure"
 created: 2026-03-11
 supports:
-  - "japan demographic trajectory provides 20 year preview of us long term care challenge"
+- japan demographic trajectory provides 20 year preview of us long term care challenge
 reweave_edges:
-  - "japan demographic trajectory provides 20 year preview of us long term care challenge|supports|2026-03-31"
+- japan demographic trajectory provides 20 year preview of us long term care challenge|supports|2026-03-31
 ---
 
 # US long-term care financing gap is the largest unaddressed structural problem in American healthcare
diff --git a/domains/internet-finance/aimd-congestion-control-generalizes-to-distributed-resource-allocation-because-queue-dynamics-are-structurally-identical-across-networks-and-compute-pipelines.md b/domains/internet-finance/aimd-congestion-control-generalizes-to-distributed-resource-allocation-because-queue-dynamics-are-structurally-identical-across-networks-and-compute-pipelines.md
index f5841e08..a55e4db2 100644
--- a/domains/internet-finance/aimd-congestion-control-generalizes-to-distributed-resource-allocation-because-queue-dynamics-are-structurally-identical-across-networks-and-compute-pipelines.md
+++ b/domains/internet-finance/aimd-congestion-control-generalizes-to-distributed-resource-allocation-because-queue-dynamics-are-structurally-identical-across-networks-and-compute-pipelines.md
@@ -6,12 +6,12 @@ confidence: likely
 source: "Vlahakis, Athanasopoulos et al., AIMD Scheduling and Resource Allocation in Distributed Computing Systems (2021)"
 created: 2026-03-11
 supports:
-  - "aimd scaling solves variable load expensive compute coordination without prediction"
+- aimd scaling solves variable load expensive compute coordination without prediction
 reweave_edges:
-  - "aimd scaling solves variable load expensive compute coordination without prediction|supports|2026-04-04"
-  - "aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling|related|2026-04-04"
+- aimd scaling solves variable load expensive compute coordination without prediction|supports|2026-04-04
+- aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling|related|2026-04-04
 related:
-  - "aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling"
+- aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling
 ---
 
 # AIMD congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines
diff --git a/domains/internet-finance/aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals.md b/domains/internet-finance/aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals.md
index c61ee20d..320b8bf1 100644
--- a/domains/internet-finance/aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals.md
+++ b/domains/internet-finance/aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals.md
@@ -7,11 +7,11 @@ source: "Corless, King, Shorten, Wirth (SIAM 2016) - AIMD Dynamics and Distribut
 created: 2026-03-11
 secondary_domains: [mechanisms, collective-intelligence]
 supports:
-  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines"
-  - "aimd scaling solves variable load expensive compute coordination without prediction"
+- aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines
+- aimd scaling solves variable load expensive compute coordination without prediction
 reweave_edges:
-  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|supports|2026-04-04"
-  - "aimd scaling solves variable load expensive compute coordination without prediction|supports|2026-04-04"
+- aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|supports|2026-04-04
+- aimd scaling solves variable load expensive compute coordination without prediction|supports|2026-04-04
 ---
 
 # AIMD converges to fair resource allocation without global coordination through local congestion signals
diff --git a/domains/internet-finance/aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md b/domains/internet-finance/aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md
index b12082e7..9781a3be 100644
--- a/domains/internet-finance/aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md
+++ b/domains/internet-finance/aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md
@@ -7,11 +7,11 @@ source: "Corless et al. (SIAM 2016) applied to Teleo pipeline architecture"
 created: 2026-03-11
 secondary_domains: [mechanisms, critical-systems]
 supports:
-  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines"
-  - "aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling"
+- aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines
+- aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling
 reweave_edges:
-  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|supports|2026-04-04"
-  - "aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling|supports|2026-04-04"
+- aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|supports|2026-04-04
+- aimd worker scaling requires only queue state observation not load prediction making it simpler than ml based autoscaling|supports|2026-04-04
 ---
 
 # AIMD scaling solves variable-load expensive-compute coordination without prediction
diff --git a/domains/internet-finance/aimd-worker-scaling-requires-only-queue-state-observation-not-load-prediction-making-it-simpler-than-ml-based-autoscaling.md b/domains/internet-finance/aimd-worker-scaling-requires-only-queue-state-observation-not-load-prediction-making-it-simpler-than-ml-based-autoscaling.md
index f1dab6e8..55a5222f 100644
--- a/domains/internet-finance/aimd-worker-scaling-requires-only-queue-state-observation-not-load-prediction-making-it-simpler-than-ml-based-autoscaling.md
+++ b/domains/internet-finance/aimd-worker-scaling-requires-only-queue-state-observation-not-load-prediction-making-it-simpler-than-ml-based-autoscaling.md
@@ -6,12 +6,12 @@ confidence: experimental
 source: "Vlahakis, Athanasopoulos et al., AIMD Scheduling (2021), applied to Teleo pipeline context"
 created: 2026-03-11
 related:
-  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines"
+- aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines
 reweave_edges:
-  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|related|2026-04-04"
-  - "aimd scaling solves variable load expensive compute coordination without prediction|supports|2026-04-04"
+- aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|related|2026-04-04
+- aimd scaling solves variable load expensive compute coordination without prediction|supports|2026-04-04
 supports:
-  - "aimd scaling solves variable load expensive compute coordination without prediction"
+- aimd scaling solves variable load expensive compute coordination without prediction
 ---
 
 # AIMD worker scaling requires only queue state observation not load prediction making it simpler than ML-based autoscaling
diff --git a/domains/internet-finance/amm-futarchy-bootstraps-liquidity-through-high-fee-incentives-and-required-proposer-initial-liquidity-creating-self-reinforcing-depth.md b/domains/internet-finance/amm-futarchy-bootstraps-liquidity-through-high-fee-incentives-and-required-proposer-initial-liquidity-creating-self-reinforcing-depth.md
index 45f34fa1..a2679cc9 100644
--- a/domains/internet-finance/amm-futarchy-bootstraps-liquidity-through-high-fee-incentives-and-required-proposer-initial-liquidity-creating-self-reinforcing-depth.md
+++ b/domains/internet-finance/amm-futarchy-bootstraps-liquidity-through-high-fee-incentives-and-required-proposer-initial-liquidity-creating-self-reinforcing-depth.md
@@ -6,9 +6,9 @@ confidence: experimental
 source: "MetaDAO AMM proposal by joebuild, 2024-01-24"
 created: 2024-01-24
 related:
-  - "amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs"
+- amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs
 reweave_edges:
-  - "amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs|related|2026-04-04"
+- amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs|related|2026-04-04
 ---
 
 # AMM futarchy bootstraps liquidity through high fee incentives and required proposer initial liquidity creating self-reinforcing depth
diff --git a/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-by-99-percent-versus-clob-by-eliminating-orderbook-storage-requirements.md b/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-by-99-percent-versus-clob-by-eliminating-orderbook-storage-requirements.md
index 28a7473c..c1bb2d52 100644
--- a/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-by-99-percent-versus-clob-by-eliminating-orderbook-storage-requirements.md
+++ b/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-by-99-percent-versus-clob-by-eliminating-orderbook-storage-requirements.md
@@ -6,9 +6,9 @@ confidence: likely
 source: "MetaDAO proposal CF9QUBS251FnNGZHLJ4WbB2CVRi5BtqJbCqMi47NX1PG, 2024-01-24"
 created: 2026-03-11
 supports:
-  - "amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs"
+- amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs
 reweave_edges:
-  - "amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs|supports|2026-04-04"
+- amm futarchy reduces state rent costs from 135 225 sol annually to near zero by replacing clob market pairs|supports|2026-04-04
 ---
 
 # AMM futarchy reduces state rent costs by 99 percent versus CLOB by eliminating orderbook storage requirements
diff --git a/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-from-135-225-sol-annually-to-near-zero-by-replacing-clob-market-pairs.md b/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-from-135-225-sol-annually-to-near-zero-by-replacing-clob-market-pairs.md
index a8bc1b3b..67dfd320 100644
--- a/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-from-135-225-sol-annually-to-near-zero-by-replacing-clob-market-pairs.md
+++ b/domains/internet-finance/amm-futarchy-reduces-state-rent-costs-from-135-225-sol-annually-to-near-zero-by-replacing-clob-market-pairs.md
@@ -6,9 +6,9 @@ confidence: proven
 source: "MetaDAO proposal by joebuild, 2024-01-24"
 created: 2024-01-24
 supports:
-  - "amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements"
+- amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements
 reweave_edges:
-  - "amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements|supports|2026-04-04"
+- amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements|supports|2026-04-04
 ---
 
 # AMM futarchy reduces state rent costs from 135-225 SOL annually to near-zero by replacing CLOB market pairs
diff --git a/domains/internet-finance/archer-exchange-implements-dedicated-writable-only-order-books-per-market-maker-enabling-permissionless-on-chain-matching.md b/domains/internet-finance/archer-exchange-implements-dedicated-writable-only-order-books-per-market-maker-enabling-permissionless-on-chain-matching.md
index 41bd1803..cd447c47 100644
--- a/domains/internet-finance/archer-exchange-implements-dedicated-writable-only-order-books-per-market-maker-enabling-permissionless-on-chain-matching.md
+++ b/domains/internet-finance/archer-exchange-implements-dedicated-writable-only-order-books-per-market-maker-enabling-permissionless-on-chain-matching.md
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Dhrumil (@mmdhrumil), Archer Exchange co-founder, X archive 2026-03-09"
 created: 2026-03-11
 supports:
-  - "Archer Exchange"
+- Archer Exchange
 reweave_edges:
-  - "Archer Exchange|supports|2026-04-04"
+- Archer Exchange|supports|2026-04-04
 ---
 
 # Archer Exchange implements dedicated writable-only-by-you order books per market maker enabling permissionless on-chain matching
diff --git a/domains/internet-finance/areal-proposes-unified-rwa-liquidity-through-index-token-aggregating-yield-across-project-tokens.md b/domains/internet-finance/areal-proposes-unified-rwa-liquidity-through-index-token-aggregating-yield-across-project-tokens.md
index a55eb754..35b728ed 100644
--- a/domains/internet-finance/areal-proposes-unified-rwa-liquidity-through-index-token-aggregating-yield-across-project-tokens.md
+++ b/domains/internet-finance/areal-proposes-unified-rwa-liquidity-through-index-token-aggregating-yield-across-project-tokens.md
@@ -6,9 +6,9 @@ confidence: speculative
 source: "Areal DAO, Futardio launch documentation, 2026-03-07"
 created: 2026-03-11
 related:
-  - "Areal: Futardio ICO Launch"
+- Areal: Futardio ICO Launch
 reweave_edges:
-  - "Areal: Futardio ICO Launch|related|2026-04-04"
+- Areal: Futardio ICO Launch|related|2026-04-04
 ---
 
 # Areal proposes unified RWA liquidity through index token aggregating yield across project tokens
diff --git a/domains/internet-finance/areal-targets-smb-rwa-tokenization-as-underserved-market-versus-equity-and-large-financial-instruments.md b/domains/internet-finance/areal-targets-smb-rwa-tokenization-as-underserved-market-versus-equity-and-large-financial-instruments.md
index 5da2357d..2f642c94 100644
--- a/domains/internet-finance/areal-targets-smb-rwa-tokenization-as-underserved-market-versus-equity-and-large-financial-instruments.md
+++ b/domains/internet-finance/areal-targets-smb-rwa-tokenization-as-underserved-market-versus-equity-and-large-financial-instruments.md
@@ -6,9 +6,9 @@ confidence: plausible
 source: "Areal DAO, Futardio launch documentation, 2026-03-07"
 created: 2026-03-11
 related:
-  - "Areal: Futardio ICO Launch"
+- Areal: Futardio ICO Launch
 reweave_edges:
-  - "Areal: Futardio ICO Launch|related|2026-04-04"
+- Areal: Futardio ICO Launch|related|2026-04-04
 ---
 
 # Areal targets SMB RWA tokenization as underserved market versus equity and large financial instruments
diff --git a/domains/internet-finance/dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum.md b/domains/internet-finance/dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum.md
index 329da4d1..9114a4ff 100644
--- a/domains/internet-finance/dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum.md	
+++ b/domains/internet-finance/dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum.md	
@@ -6,12 +6,12 @@ confidence: experimental
 source: "Adams, Czernik, Lakhal, Zipfel — 'Doppler: A liquidity bootstrapping ecosystem' (Whetstone Research, Jan 2024); Doppler docs (docs.doppler.lol); $100M+ arbitrage loss data from Dune Analytics"
 created: 2026-03-07
 related_to:
-  - "[[internet capital markets compress fundraising from months to days because permissionless raises eliminate gatekeepers while futarchy replaces due diligence bottlenecks with real-time market pricing]]"
-  - "[[cryptos primary use case is capital formation not payments or store of value because permissionless token issuance solves the fundraising bottleneck that solo founders and small teams face]]"
+- [[internet capital markets compress fundraising from months to days because permissionless raises eliminate gatekeepers while futarchy replaces due diligence bottlenecks with real-time market pricing]]
+- [[cryptos primary use case is capital formation not payments or store of value because permissionless token issuance solves the fundraising bottleneck that solo founders and small teams face]]
 related:
-  - "auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences"
+- auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences
 reweave_edges:
-  - "auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences|related|2026-04-04"
+- auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences|related|2026-04-04
 ---
 
 # dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum
diff --git a/domains/internet-finance/liquidity-weighted-price-over-time-solves-futarchy-manipulation-through-capital-commitment-not-vote-counting.md b/domains/internet-finance/liquidity-weighted-price-over-time-solves-futarchy-manipulation-through-capital-commitment-not-vote-counting.md
index 2a95affe..73e5e324 100644
--- a/domains/internet-finance/liquidity-weighted-price-over-time-solves-futarchy-manipulation-through-capital-commitment-not-vote-counting.md
+++ b/domains/internet-finance/liquidity-weighted-price-over-time-solves-futarchy-manipulation-through-capital-commitment-not-vote-counting.md
@@ -6,9 +6,9 @@ confidence: experimental
 source: "MetaDAO AMM proposal CF9QUBS251FnNGZHLJ4WbB2CVRi5BtqJbCqMi47NX1PG, 2024-01-24"
 created: 2026-03-11
 related:
-  - "amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements"
+- amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements
 reweave_edges:
-  - "amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements|related|2026-04-04"
+- amm futarchy reduces state rent costs by 99 percent versus clob by eliminating orderbook storage requirements|related|2026-04-04
 ---
 
 # Liquidity-weighted price over time solves futarchy manipulation through capital commitment not vote counting
diff --git a/domains/internet-finance/optimal token launch architecture is layered not monolithic because separating quality governance from price discovery from liquidity bootstrapping from community rewards lets each layer use the mechanism best suited to its objective.md b/domains/internet-finance/optimal token launch architecture is layered not monolithic because separating quality governance from price discovery from liquidity bootstrapping from community rewards lets each layer use the mechanism best suited to its objective.md
index f9ab6a03..a1b3f6b4 100644
--- a/domains/internet-finance/optimal token launch architecture is layered not monolithic because separating quality governance from price discovery from liquidity bootstrapping from community rewards lets each layer use the mechanism best suited to its objective.md	
+++ b/domains/internet-finance/optimal token launch architecture is layered not monolithic because separating quality governance from price discovery from liquidity bootstrapping from community rewards lets each layer use the mechanism best suited to its objective.md	
@@ -7,12 +7,12 @@ source: "rio, synthesized from trilemma analysis + hybrid-value auction theory +
 created: 2026-03-07
 secondary_domains: [mechanisms]
 depends_on:
-  - "[[early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters]]"
-  - "[[token launches are hybrid-value auctions where common-value price discovery and private-value community alignment require different mechanisms because auction theory optimized for one degrades the other]]"
+- [[early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters]]
+- [[token launches are hybrid-value auctions where common-value price discovery and private-value community alignment require different mechanisms because auction theory optimized for one degrades the other]]
 related:
-  - "auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences"
+- auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences
 reweave_edges:
-  - "auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences|related|2026-04-04"
+- auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences|related|2026-04-04
 ---
 
 # Optimal token launch architecture is layered not monolithic because separating quality governance from price discovery from liquidity bootstrapping from community rewards lets each layer use the mechanism best suited to its objective
diff --git a/domains/internet-finance/permissionless-community-expansion-reduces-market-entry-costs-100x-through-incentivized-circles-versus-local-teams.md b/domains/internet-finance/permissionless-community-expansion-reduces-market-entry-costs-100x-through-incentivized-circles-versus-local-teams.md
index 6cf11659..8130c9a0 100644
--- a/domains/internet-finance/permissionless-community-expansion-reduces-market-entry-costs-100x-through-incentivized-circles-versus-local-teams.md
+++ b/domains/internet-finance/permissionless-community-expansion-reduces-market-entry-costs-100x-through-incentivized-circles-versus-local-teams.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "thedonkey"
       context: "@Thedonkey (P2P.me founder), operational data from Brazil/Argentina/Venezuela/Mexico launches"
 supports:
-  - "Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry"
+- Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry
 reweave_edges:
-  - "Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry|supports|2026-04-04"
+- Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry|supports|2026-04-04
 ---
 
 # Permissionless community expansion reduces market entry costs by 100x (from $40K to $400) by replacing local teams with incentivized community circles compensated at 0.2% of volume
diff --git a/domains/internet-finance/permissionless-geographic-expansion-achieves-100x-cost-reduction-through-community-leader-revenue-share-replacing-local-teams.md b/domains/internet-finance/permissionless-geographic-expansion-achieves-100x-cost-reduction-through-community-leader-revenue-share-replacing-local-teams.md
index d7a4f897..311887b2 100644
--- a/domains/internet-finance/permissionless-geographic-expansion-achieves-100x-cost-reduction-through-community-leader-revenue-share-replacing-local-teams.md
+++ b/domains/internet-finance/permissionless-geographic-expansion-achieves-100x-cost-reduction-through-community-leader-revenue-share-replacing-local-teams.md
@@ -12,9 +12,9 @@ attribution:
     - handle: "thedonkey"
       context: "@Thedonkey, P2P.me expansion data across Brazil, Argentina, Venezuela, Mexico"
 supports:
-  - "Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry"
+- Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry
 reweave_edges:
-  - "Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry|supports|2026-04-04"
+- Permissionless operator networks scale geographic expansion quadratically by removing human bottlenecks from market entry|supports|2026-04-04
 ---
 
 # Permissionless geographic expansion achieves 100x cost reduction through community leader revenue share replacing local teams
diff --git a/domains/internet-finance/token launches are hybrid-value auctions where common-value price discovery and private-value community alignment require different mechanisms because auction theory optimized for one degrades the other.md b/domains/internet-finance/token launches are hybrid-value auctions where common-value price discovery and private-value community alignment require different mechanisms because auction theory optimized for one degrades the other.md
index b758697c..3827e877 100644
--- a/domains/internet-finance/token launches are hybrid-value auctions where common-value price discovery and private-value community alignment require different mechanisms because auction theory optimized for one degrades the other.md	
+++ b/domains/internet-finance/token launches are hybrid-value auctions where common-value price discovery and private-value community alignment require different mechanisms because auction theory optimized for one degrades the other.md	
@@ -7,9 +7,9 @@ source: "rio, derived from Milgrom & Weber (1982) on common vs private value auc
 created: 2026-03-07
 secondary_domains: [mechanisms]
 related:
-  - "auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences"
+- auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences
 reweave_edges:
-  - "auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences|related|2026-04-04"
+- auction theory reveals that allocation mechanism design determines price discovery efficiency and revenue because different auction formats produce different outcomes depending on bidder information structure and risk preferences|related|2026-04-04
 ---
 
 # Token launches are hybrid-value auctions where common-value price discovery and private-value community alignment require different mechanisms because auction theory optimized for one degrades the other
diff --git a/domains/manufacturing/ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co-developed precision optics created an unreplicable ecosystem that gates all leading-edge chip production.md b/domains/manufacturing/ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co-developed precision optics created an unreplicable ecosystem that gates all leading-edge chip production.md
index 4978b37d..9af52ab6 100644
--- a/domains/manufacturing/ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co-developed precision optics created an unreplicable ecosystem that gates all leading-edge chip production.md	
+++ b/domains/manufacturing/ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co-developed precision optics created an unreplicable ecosystem that gates all leading-edge chip production.md	
@@ -7,13 +7,13 @@ source: "Astra, ASML financial reports 2025, Zeiss SMT 30-year EUV retrospective
 created: 2026-03-24
 secondary_domains: ["ai-alignment"]
 depends_on:
-  - "value in industry transitions accrues to bottleneck positions in the emerging architecture not to pioneers or to the largest incumbents"
+- value in industry transitions accrues to bottleneck positions in the emerging architecture not to pioneers or to the largest incumbents
 challenged_by:
-  - "China's domestic EUV efforts have achieved laboratory-scale wavelength generation by 2024-2025 though the gap from lab to production tool is measured in years"
+- China's domestic EUV efforts have achieved laboratory-scale wavelength generation by 2024-2025 though the gap from lab to production tool is measured in years
 supports:
-  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture"
+- HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture
 reweave_edges:
-  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04"
+- HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04
 ---
 
 # ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co-developed precision optics created an unreplicable ecosystem that gates all leading-edge chip production
diff --git a/domains/manufacturing/CoWoS advanced packaging is the binding bottleneck on AI compute scaling because TSMC near-monopoly on interposer technology gates total accelerator output regardless of chip design capability.md b/domains/manufacturing/CoWoS advanced packaging is the binding bottleneck on AI compute scaling because TSMC near-monopoly on interposer technology gates total accelerator output regardless of chip design capability.md
index eec1f7bb..7740c81d 100644
--- a/domains/manufacturing/CoWoS advanced packaging is the binding bottleneck on AI compute scaling because TSMC near-monopoly on interposer technology gates total accelerator output regardless of chip design capability.md	
+++ b/domains/manufacturing/CoWoS advanced packaging is the binding bottleneck on AI compute scaling because TSMC near-monopoly on interposer technology gates total accelerator output regardless of chip design capability.md	
@@ -7,17 +7,17 @@ source: "Astra, Theseus compute infrastructure research 2026-03-24; TSMC CEO pub
 created: 2026-03-24
 secondary_domains: ["ai-alignment"]
 depends_on:
-  - "value in industry transitions accrues to bottleneck positions in the emerging architecture not to pioneers or to the largest incumbents"
+- value in industry transitions accrues to bottleneck positions in the emerging architecture not to pioneers or to the largest incumbents
 challenged_by:
-  - "Intel EMIB and other alternatives may break the TSMC CoWoS monopoly by 2027-2028"
-  - "chiplet architectures with smaller interposers could reduce packaging constraints"
+- Intel EMIB and other alternatives may break the TSMC CoWoS monopoly by 2027-2028
+- chiplet architectures with smaller interposers could reduce packaging constraints
 related:
-  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production"
+- ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production
 reweave_edges:
-  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|related|2026-04-04"
-  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04"
+- ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|related|2026-04-04
+- HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04
 supports:
-  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture"
+- HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture
 ---
 
 # CoWoS advanced packaging is the binding bottleneck on AI compute scaling because TSMC near-monopoly on interposer technology gates total accelerator output regardless of chip design capability
diff --git a/domains/manufacturing/TSMC manufactures 92 percent of advanced logic chips making Taiwan the single largest physical vulnerability in global technology infrastructure.md b/domains/manufacturing/TSMC manufactures 92 percent of advanced logic chips making Taiwan the single largest physical vulnerability in global technology infrastructure.md
index 0f49789f..bd40bc91 100644
--- a/domains/manufacturing/TSMC manufactures 92 percent of advanced logic chips making Taiwan the single largest physical vulnerability in global technology infrastructure.md	
+++ b/domains/manufacturing/TSMC manufactures 92 percent of advanced logic chips making Taiwan the single largest physical vulnerability in global technology infrastructure.md	
@@ -7,14 +7,14 @@ source: "Astra, Theseus compute infrastructure research 2026-03-24; Chris Miller
 created: 2026-03-24
 secondary_domains: ["ai-alignment"]
 depends_on:
-  - "optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns"
+- optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns
 challenged_by:
-  - "TSMC Arizona achieving 92% yield shows geographic diversification is technically feasible and progressing"
-  - "Intel Foundry and Samsung Foundry provide theoretical alternatives for some advanced processes"
+- TSMC Arizona achieving 92% yield shows geographic diversification is technically feasible and progressing
+- Intel Foundry and Samsung Foundry provide theoretical alternatives for some advanced processes
 supports:
-  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production"
+- ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production
 reweave_edges:
-  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|supports|2026-04-04"
+- ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|supports|2026-04-04
 ---
 
 # TSMC manufactures 92 percent of advanced logic chips making Taiwan the single largest physical vulnerability in global technology infrastructure
diff --git a/domains/manufacturing/semiconductor fab cost escalation means each new process node is a nation-state commitment because 20B-plus capital costs and multi-year construction create irreversible geographic path dependence.md b/domains/manufacturing/semiconductor fab cost escalation means each new process node is a nation-state commitment because 20B-plus capital costs and multi-year construction create irreversible geographic path dependence.md
index bffbf1a5..687a29fe 100644
--- a/domains/manufacturing/semiconductor fab cost escalation means each new process node is a nation-state commitment because 20B-plus capital costs and multi-year construction create irreversible geographic path dependence.md	
+++ b/domains/manufacturing/semiconductor fab cost escalation means each new process node is a nation-state commitment because 20B-plus capital costs and multi-year construction create irreversible geographic path dependence.md	
@@ -7,15 +7,15 @@ source: "Astra, Theseus compute infrastructure research 2026-03-24; CHIPS Act pu
 created: 2026-03-24
 secondary_domains: ["ai-alignment"]
 depends_on:
-  - "the personbyte is a fundamental quantization limit on knowledge accumulation forcing all complex production into networked teams"
-  - "knowledge embodiment lag means technology is available decades before organizations learn to use it optimally creating a productivity paradox"
+- the personbyte is a fundamental quantization limit on knowledge accumulation forcing all complex production into networked teams
+- knowledge embodiment lag means technology is available decades before organizations learn to use it optimally creating a productivity paradox
 challenged_by:
-  - "CHIPS Act and EU Chips Act subsidies may successfully diversify fab geography if sustained over multiple fab generations"
-  - "advanced packaging may become more geographically distributed than logic fabrication reducing the single-geography risk"
+- CHIPS Act and EU Chips Act subsidies may successfully diversify fab geography if sustained over multiple fab generations
+- advanced packaging may become more geographically distributed than logic fabrication reducing the single-geography risk
 related:
-  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production"
+- ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production
 reweave_edges:
-  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|related|2026-04-04"
+- ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|related|2026-04-04
 ---
 
 # Semiconductor fab cost escalation means each new process node is a nation-state commitment because 20B-plus capital costs and multi-year construction create irreversible geographic path dependence
diff --git a/domains/space-development/Rocket Lab pivot to space systems reveals that vertical component integration may be more defensible than launch in the emerging space economy.md b/domains/space-development/Rocket Lab pivot to space systems reveals that vertical component integration may be more defensible than launch in the emerging space economy.md
index aa1bc707..75096d57 100644
--- a/domains/space-development/Rocket Lab pivot to space systems reveals that vertical component integration may be more defensible than launch in the emerging space economy.md	
+++ b/domains/space-development/Rocket Lab pivot to space systems reveals that vertical component integration may be more defensible than launch in the emerging space economy.md	
@@ -7,9 +7,9 @@ source: "Astra, Rocket Lab research profile February 2026"
 created: 2026-03-20
 challenged_by: ["$38.6B market cap at ~48x forward revenue may price in success before Neutron proves viable"]
 related:
-  - "spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies"
+- spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies
 reweave_edges:
-  - "spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies|related|2026-04-04"
+- spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies|related|2026-04-04
 ---
 
 # Rocket Lab pivot to space systems reveals that vertical component integration may be more defensible than launch in the emerging space economy
diff --git a/domains/space-development/Varda Space Industries validates commercial space manufacturing with four orbital missions 329M raised and monthly launch cadence by 2026.md b/domains/space-development/Varda Space Industries validates commercial space manufacturing with four orbital missions 329M raised and monthly launch cadence by 2026.md
index 0be18b34..274b62b7 100644
--- a/domains/space-development/Varda Space Industries validates commercial space manufacturing with four orbital missions 329M raised and monthly launch cadence by 2026.md	
+++ b/domains/space-development/Varda Space Industries validates commercial space manufacturing with four orbital missions 329M raised and monthly launch cadence by 2026.md	
@@ -6,16 +6,16 @@ confidence: likely
 source: "Astra, microgravity manufacturing research February 2026"
 created: 2026-02-17
 depends_on:
-  - "space-based pharmaceutical manufacturing produces clinically superior drug formulations that cannot be replicated on Earth"
-  - "microgravity-discovered pharmaceutical polymorphs are a novel IP mechanism because new crystal forms enable patent extension reformulation and new delivery methods"
-  - "launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds"
+- space-based pharmaceutical manufacturing produces clinically superior drug formulations that cannot be replicated on Earth
+- microgravity-discovered pharmaceutical polymorphs are a novel IP mechanism because new crystal forms enable patent extension reformulation and new delivery methods
+- launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds
 supports:
-  - "varda space biologics development blurs three tier manufacturing sequence"
+- varda space biologics development blurs three tier manufacturing sequence
 reweave_edges:
-  - "varda space biologics development blurs three tier manufacturing sequence|supports|2026-04-04"
-  - "varda vertical integration reduces space manufacturing access costs|related|2026-04-04"
+- varda space biologics development blurs three tier manufacturing sequence|supports|2026-04-04
+- varda vertical integration reduces space manufacturing access costs|related|2026-04-04
 related:
-  - "varda vertical integration reduces space manufacturing access costs"
+- varda vertical integration reduces space manufacturing access costs
 ---
 
 # Varda Space Industries validates commercial space manufacturing with four orbital missions 329M raised and monthly launch cadence by 2026
diff --git a/domains/space-development/asteroid mining second wave succeeds where the first failed because launch costs fell 10x spacecraft costs fell 30x and real customers now exist.md b/domains/space-development/asteroid mining second wave succeeds where the first failed because launch costs fell 10x spacecraft costs fell 30x and real customers now exist.md
index e050102c..5b235678 100644
--- a/domains/space-development/asteroid mining second wave succeeds where the first failed because launch costs fell 10x spacecraft costs fell 30x and real customers now exist.md	
+++ b/domains/space-development/asteroid mining second wave succeeds where the first failed because launch costs fell 10x spacecraft costs fell 30x and real customers now exist.md	
@@ -6,11 +6,11 @@ confidence: likely
 source: "Astra, web research compilation February 2026; AstroForge, TransAstra, Karman+ company data"
 created: 2026-02-17
 depends_on:
-  - "launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds"
+- launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds
 related:
-  - "the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining"
+- the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining
 reweave_edges:
-  - "the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining|related|2026-04-04"
+- the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining|related|2026-04-04
 ---
 
 # Asteroid mining second wave succeeds where the first failed because launch costs fell 10x spacecraft costs fell 30x and real customers now exist
diff --git a/domains/space-development/lunar-resource-extraction-economics-require-equipment-mass-ratios-under-50-tons-per-ton-of-mined-material-at-projected-1M-per-ton-delivery-costs.md b/domains/space-development/lunar-resource-extraction-economics-require-equipment-mass-ratios-under-50-tons-per-ton-of-mined-material-at-projected-1M-per-ton-delivery-costs.md
index 7e647cbf..06859c17 100644
--- a/domains/space-development/lunar-resource-extraction-economics-require-equipment-mass-ratios-under-50-tons-per-ton-of-mined-material-at-projected-1M-per-ton-delivery-costs.md
+++ b/domains/space-development/lunar-resource-extraction-economics-require-equipment-mass-ratios-under-50-tons-per-ton-of-mined-material-at-projected-1M-per-ton-delivery-costs.md
@@ -7,9 +7,9 @@ source: "Astra, Space Ambition / Beyond Earth 'Lunar Resources: Is the Industry
 created: 2026-03-23
 challenged_by: ["$1M/ton delivery cost assumes Starship achieves full reuse and high lunar cadence which remains speculative; current CLPS costs are $1.2-1.5M per kg — 1000x higher"]
 related:
-  - "the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining"
+- the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining
 reweave_edges:
-  - "the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining|related|2026-04-04"
+- the asteroid precious metals price paradox means mining success at scale collapses the prices that justify the mining|related|2026-04-04
 ---
 
 # Lunar resource extraction economics require equipment mass ratios under 50 tons per ton of mined material at projected 1M per ton delivery costs
diff --git a/domains/space-development/microgravity eliminates convection sedimentation and container effects producing measurably superior materials across fiber optics pharmaceuticals and semiconductors.md b/domains/space-development/microgravity eliminates convection sedimentation and container effects producing measurably superior materials across fiber optics pharmaceuticals and semiconductors.md
index 599287f6..20db9b85 100644
--- a/domains/space-development/microgravity eliminates convection sedimentation and container effects producing measurably superior materials across fiber optics pharmaceuticals and semiconductors.md	
+++ b/domains/space-development/microgravity eliminates convection sedimentation and container effects producing measurably superior materials across fiber optics pharmaceuticals and semiconductors.md	
@@ -6,11 +6,11 @@ confidence: likely
 source: "Astra, web research compilation February 2026"
 created: 2026-02-17
 depends_on:
-  - "the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure"
+- the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure
 supports:
-  - "varda space biologics development blurs three tier manufacturing sequence"
+- varda space biologics development blurs three tier manufacturing sequence
 reweave_edges:
-  - "varda space biologics development blurs three tier manufacturing sequence|supports|2026-04-04"
+- varda space biologics development blurs three tier manufacturing sequence|supports|2026-04-04
 ---
 
 # Microgravity eliminates convection sedimentation and container effects producing measurably superior materials across fiber optics pharmaceuticals and semiconductors
diff --git a/domains/space-development/on-orbit processing of satellite data is the proven near-term use case for space compute because it avoids bandwidth and thermal bottlenecks simultaneously.md b/domains/space-development/on-orbit processing of satellite data is the proven near-term use case for space compute because it avoids bandwidth and thermal bottlenecks simultaneously.md
index 4bae7d9a..8cbe78a8 100644
--- a/domains/space-development/on-orbit processing of satellite data is the proven near-term use case for space compute because it avoids bandwidth and thermal bottlenecks simultaneously.md	
+++ b/domains/space-development/on-orbit processing of satellite data is the proven near-term use case for space compute because it avoids bandwidth and thermal bottlenecks simultaneously.md	
@@ -6,12 +6,12 @@ confidence: likely
 source: "Astra, space data centers feasibility analysis February 2026; Google Project Suncatcher partnership with Planet Labs"
 created: 2026-02-17
 depends_on:
-  - "space-based computing at datacenter scale is blocked by thermal physics because radiative cooling in vacuum requires surface areas that grow faster than compute density"
-  - "the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure"
+- space-based computing at datacenter scale is blocked by thermal physics because radiative cooling in vacuum requires surface areas that grow faster than compute density
+- the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure
 supports:
-  - "solar irradiance in LEO delivers 8 10x ground based solar power with near continuous availability in sun synchronous orbits making orbital compute power abundant where terrestrial facilities are power starved"
+- solar irradiance in LEO delivers 8 10x ground based solar power with near continuous availability in sun synchronous orbits making orbital compute power abundant where terrestrial facilities are power starved
 reweave_edges:
-  - "solar irradiance in LEO delivers 8 10x ground based solar power with near continuous availability in sun synchronous orbits making orbital compute power abundant where terrestrial facilities are power starved|supports|2026-04-04"
+- solar irradiance in LEO delivers 8 10x ground based solar power with near continuous availability in sun synchronous orbits making orbital compute power abundant where terrestrial facilities are power starved|supports|2026-04-04
 ---
 
 # On-orbit processing of satellite data is the proven near-term use case for space compute because it avoids bandwidth and thermal bottlenecks simultaneously
diff --git a/domains/space-development/orbital compute hardware cannot be serviced making every component either radiation-hardened redundant or disposable with failed hardware becoming debris or requiring expensive deorbit.md b/domains/space-development/orbital compute hardware cannot be serviced making every component either radiation-hardened redundant or disposable with failed hardware becoming debris or requiring expensive deorbit.md
index 1ceaa2ee..066dfa27 100644
--- a/domains/space-development/orbital compute hardware cannot be serviced making every component either radiation-hardened redundant or disposable with failed hardware becoming debris or requiring expensive deorbit.md	
+++ b/domains/space-development/orbital compute hardware cannot be serviced making every component either radiation-hardened redundant or disposable with failed hardware becoming debris or requiring expensive deorbit.md	
@@ -6,12 +6,12 @@ confidence: likely
 source: "Astra, space data centers feasibility analysis February 2026; Microsoft Project Natick comparison"
 created: 2026-02-17
 depends_on:
-  - "space-based computing at datacenter scale is blocked by thermal physics because radiative cooling in vacuum requires surface areas that grow faster than compute density"
-  - "orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators"
+- space-based computing at datacenter scale is blocked by thermal physics because radiative cooling in vacuum requires surface areas that grow faster than compute density
+- orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators
 supports:
-  - "space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome"
+- space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome
 reweave_edges:
-  - "space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome|supports|2026-04-04"
+- space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome|supports|2026-04-04
 ---
 
 # Orbital compute hardware cannot be serviced making every component either radiation-hardened redundant or disposable with failed hardware becoming debris or requiring expensive deorbit
diff --git a/domains/space-development/orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators.md b/domains/space-development/orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators.md
index c80ff977..15ef58be 100644
--- a/domains/space-development/orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators.md	
+++ b/domains/space-development/orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators.md	
@@ -7,11 +7,11 @@ source: "Astra synthesis from ESA Space Debris Office tracking data, SpaceX Star
 created: 2026-03-07
 challenged_by: "SpaceX's Starlink demonstrates that the largest constellation operator has the strongest private incentive to solve debris (collision avoidance costs them directly), suggesting market incentives may partially self-correct without binding international frameworks. Active debris removal technology could also change the calculus if economically viable."
 supports:
-  - "space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome"
-  - "space traffic management is the most urgent governance gap because no authority has binding power to coordinate collision avoidance among thousands of operators"
+- space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome
+- space traffic management is the most urgent governance gap because no authority has binding power to coordinate collision avoidance among thousands of operators
 reweave_edges:
-  - "space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome|supports|2026-04-04"
-  - "space traffic management is the most urgent governance gap because no authority has binding power to coordinate collision avoidance among thousands of operators|supports|2026-04-04"
+- space debris removal is becoming a required infrastructure service as every new constellation increases collision risk toward Kessler syndrome|supports|2026-04-04
+- space traffic management is the most urgent governance gap because no authority has binding power to coordinate collision avoidance among thousands of operators|supports|2026-04-04
 ---
 
 # orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators
diff --git a/domains/space-development/orbital-data-centers-activate-through-three-tier-launch-vehicle-sequence-rideshare-dedicated-starship.md b/domains/space-development/orbital-data-centers-activate-through-three-tier-launch-vehicle-sequence-rideshare-dedicated-starship.md
index a792dab4..ee1fa63a 100644
--- a/domains/space-development/orbital-data-centers-activate-through-three-tier-launch-vehicle-sequence-rideshare-dedicated-starship.md
+++ b/domains/space-development/orbital-data-centers-activate-through-three-tier-launch-vehicle-sequence-rideshare-dedicated-starship.md
@@ -11,9 +11,9 @@ scope: structural
 sourcer: Tech Startups
 related_claims: ["[[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]]", "[[Starship achieving routine operations at sub-100 dollars per kg is the single largest enabling condition for the entire space industrial economy]]"]
 supports:
-  - "Starcloud"
+- Starcloud
 reweave_edges:
-  - "Starcloud|supports|2026-04-04"
+- Starcloud|supports|2026-04-04
 ---
 
 # Orbital data center deployment follows a three-tier launch vehicle activation sequence (rideshare → dedicated → constellation) where each tier unlocks an order-of-magnitude increase in compute scale
diff --git a/domains/space-development/skyhooks require no new physics and reduce required rocket delta-v by 40-70 percent using rotating momentum exchange.md b/domains/space-development/skyhooks require no new physics and reduce required rocket delta-v by 40-70 percent using rotating momentum exchange.md
index c935c927..8bfe18bc 100644
--- a/domains/space-development/skyhooks require no new physics and reduce required rocket delta-v by 40-70 percent using rotating momentum exchange.md	
+++ b/domains/space-development/skyhooks require no new physics and reduce required rocket delta-v by 40-70 percent using rotating momentum exchange.md	
@@ -6,9 +6,9 @@ confidence: speculative
 source: "Astra, synthesized from Moravec (1977) rotating skyhook concept, subsequent NASA/NIAC studies on momentum-exchange electrodynamic reboost (MXER) tethers, and the MXER program cancellation record"
 created: 2026-03-10
 supports:
-  - "the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next"
+- the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next
 reweave_edges:
-  - "the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next|supports|2026-04-04"
+- the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next|supports|2026-04-04
 ---
 
 # skyhooks require no new physics and reduce required rocket delta-v by 40-70 percent using rotating momentum exchange
diff --git a/domains/space-development/space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly.md b/domains/space-development/space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly.md
index be84b300..f19fb19c 100644
--- a/domains/space-development/space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly.md	
+++ b/domains/space-development/space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly.md	
@@ -6,15 +6,15 @@ confidence: likely
 source: "Astra, web research compilation February 2026"
 created: 2026-02-17
 depends_on:
-  - "technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap"
-  - "designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm"
+- technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap
+- designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm
 secondary_domains:
   - collective-intelligence
   - grand-strategy
 related:
-  - "spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies"
+- spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies
 reweave_edges:
-  - "spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies|related|2026-04-04"
+- spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies|related|2026-04-04
 ---
 
 # space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly
diff --git a/domains/space-development/space resource rights are emerging through national legislation creating de facto international law without international agreement.md b/domains/space-development/space resource rights are emerging through national legislation creating de facto international law without international agreement.md
index e9000f1f..f6fddc99 100644
--- a/domains/space-development/space resource rights are emerging through national legislation creating de facto international law without international agreement.md	
+++ b/domains/space-development/space resource rights are emerging through national legislation creating de facto international law without international agreement.md	
@@ -7,9 +7,9 @@ source: "US Commercial Space Launch Competitiveness Act Title IV (2015), Luxembo
 created: 2026-03-08
 challenged_by: "The 'fishing in international waters' analogy may not hold — celestial bodies are finite and geographically concentrated (lunar south pole ice deposits), unlike open ocean fisheries. As extraction becomes material, non-spacefaring nations excluded from benefit-sharing may contest these norms through the UN or ICJ. The UNCOPUOS 2025 draft principles are non-binding, leaving the legal framework untested in any actual dispute."
 supports:
-  - "the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia"
+- the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia
 reweave_edges:
-  - "the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia|supports|2026-04-04"
+- the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia|supports|2026-04-04
 ---
 
 # space resource rights are emerging through national legislation creating de facto international law without international agreement
diff --git a/domains/space-development/the Outer Space Treaty created a constitutional framework for space but left resource rights property and settlement governance deliberately ambiguous.md b/domains/space-development/the Outer Space Treaty created a constitutional framework for space but left resource rights property and settlement governance deliberately ambiguous.md
index af4aa9e5..3b1e3ccb 100644
--- a/domains/space-development/the Outer Space Treaty created a constitutional framework for space but left resource rights property and settlement governance deliberately ambiguous.md	
+++ b/domains/space-development/the Outer Space Treaty created a constitutional framework for space but left resource rights property and settlement governance deliberately ambiguous.md	
@@ -6,9 +6,9 @@ confidence: proven
 source: "Outer Space Treaty (1967) text, Moon Agreement (1979) ratification record (17 states, no major space power), UNCOPUOS proceedings, legal scholarship on OST Article II interpretation"
 created: 2026-03-08
 related:
-  - "the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia"
+- the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia
 reweave_edges:
-  - "the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia|related|2026-04-04"
+- the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia|related|2026-04-04
 ---
 
 # the Outer Space Treaty created a constitutional framework for space but left resource rights property and settlement governance deliberately ambiguous
diff --git a/domains/space-development/the propellant bootstrap creates a self-reinforcing cycle where asteroid mining enables missions that demand more mining.md b/domains/space-development/the propellant bootstrap creates a self-reinforcing cycle where asteroid mining enables missions that demand more mining.md
index 2572e222..6dfabbe6 100644
--- a/domains/space-development/the propellant bootstrap creates a self-reinforcing cycle where asteroid mining enables missions that demand more mining.md	
+++ b/domains/space-development/the propellant bootstrap creates a self-reinforcing cycle where asteroid mining enables missions that demand more mining.md	
@@ -6,12 +6,12 @@ confidence: likely
 source: "Astra, web research compilation February 2026; orbital refueling economics"
 created: 2026-02-17
 depends_on:
-  - "orbital propellant depots are the enabling infrastructure for all deep-space operations because they break the tyranny of the rocket equation"
-  - "water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management"
+- orbital propellant depots are the enabling infrastructure for all deep-space operations because they break the tyranny of the rocket equation
+- water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management
 related:
-  - "the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next"
+- the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next
 reweave_edges:
-  - "the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next|related|2026-04-04"
+- the megastructure launch sequence from skyhooks to Lofstrom loops to orbital rings may be economically self bootstrapping if each stage generates sufficient returns to fund the next|related|2026-04-04
 ---
 
 # The propellant bootstrap creates a self-reinforcing cycle where asteroid mining enables missions that demand more mining
diff --git a/domains/space-development/the space economy reached 613 billion in 2024 and is converging on 1 trillion by 2032 making it a major global industry not a speculative frontier.md b/domains/space-development/the space economy reached 613 billion in 2024 and is converging on 1 trillion by 2032 making it a major global industry not a speculative frontier.md
index e8207687..627cada8 100644
--- a/domains/space-development/the space economy reached 613 billion in 2024 and is converging on 1 trillion by 2032 making it a major global industry not a speculative frontier.md	
+++ b/domains/space-development/the space economy reached 613 billion in 2024 and is converging on 1 trillion by 2032 making it a major global industry not a speculative frontier.md	
@@ -6,9 +6,9 @@ confidence: proven
 source: "Space Foundation Space Report Q4 2024, SIA State of the Satellite Industry 2024, McKinsey space economy projections, Morgan Stanley space forecast"
 created: 2026-03-08
 related:
-  - "spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies"
+- spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies
 reweave_edges:
-  - "spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies|related|2026-04-04"
+- spacetech series a funding gap is the structural bottleneck because specialized vcs concentrate at seed while generalists lack domain expertise for hardware companies|related|2026-04-04
 ---
 
 # the space economy reached 613 billion in 2024 and is converging on 1 trillion by 2032 making it a major global industry not a speculative frontier
diff --git a/domains/space-development/the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure.md b/domains/space-development/the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure.md
index 12a1cbe4..9c928894 100644
--- a/domains/space-development/the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure.md	
+++ b/domains/space-development/the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure.md	
@@ -6,13 +6,13 @@ confidence: experimental
 source: "Astra, microgravity manufacturing research February 2026"
 created: 2026-02-17
 depends_on:
-  - "launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds"
+- launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds
 secondary_domains:
   - teleological-economics
 supports:
-  - "varda space biologics development blurs three tier manufacturing sequence"
+- varda space biologics development blurs three tier manufacturing sequence
 reweave_edges:
-  - "varda space biologics development blurs three tier manufacturing sequence|supports|2026-04-04"
+- varda space biologics development blurs three tier manufacturing sequence|supports|2026-04-04
 ---
 
 # the space manufacturing killer app sequence is pharmaceuticals now ZBLAN fiber in 3-5 years and bioprinted organs in 15-25 years each catalyzing the next tier of orbital infrastructure
diff --git a/entities/ai-alignment/anthropic.md b/entities/ai-alignment/anthropic.md
index 88af3bc0..d67fb175 100644
--- a/entities/ai-alignment/anthropic.md
+++ b/entities/ai-alignment/anthropic.md
@@ -26,11 +26,11 @@ tracked_by: theseus
 created: 2026-03-16
 last_updated: 2026-03-16
 related:
-  - "Dario Amodei"
-  - "OpenAI"
+- Dario Amodei
+- OpenAI
 reweave_edges:
-  - "Dario Amodei|related|2026-03-28"
-  - "OpenAI|related|2026-03-28"
+- Dario Amodei|related|2026-03-28
+- OpenAI|related|2026-03-28
 ---
 
 # Anthropic
diff --git a/entities/ai-alignment/google-deepmind.md b/entities/ai-alignment/google-deepmind.md
index 2404cf59..ec6c66c0 100644
--- a/entities/ai-alignment/google-deepmind.md
+++ b/entities/ai-alignment/google-deepmind.md
@@ -22,11 +22,11 @@ tracked_by: theseus
 created: 2026-03-16
 last_updated: 2026-03-16
 related:
-  - "OpenAI"
-  - "xAI"
+- OpenAI
+- xAI
 reweave_edges:
-  - "OpenAI|related|2026-03-28"
-  - "xAI|related|2026-03-28"
+- OpenAI|related|2026-03-28
+- xAI|related|2026-03-28
 ---
 
 # Google DeepMind
diff --git a/entities/ai-alignment/openai.md b/entities/ai-alignment/openai.md
index e6645ad0..c75f82da 100644
--- a/entities/ai-alignment/openai.md
+++ b/entities/ai-alignment/openai.md
@@ -23,19 +23,19 @@ tracked_by: theseus
 created: 2026-03-16
 last_updated: 2026-03-16
 related:
-  - "Anthropic"
-  - "Dario Amodei"
-  - "Google DeepMind"
-  - "Safe Superintelligence Inc."
-  - "Thinking Machines Lab"
-  - "xAI"
+- Anthropic
+- Dario Amodei
+- Google DeepMind
+- Safe Superintelligence Inc.
+- Thinking Machines Lab
+- xAI
 reweave_edges:
-  - "Anthropic|related|2026-03-28"
-  - "Dario Amodei|related|2026-03-28"
-  - "Google DeepMind|related|2026-03-28"
-  - "Safe Superintelligence Inc.|related|2026-03-28"
-  - "Thinking Machines Lab|related|2026-03-28"
-  - "xAI|related|2026-03-28"
+- Anthropic|related|2026-03-28
+- Dario Amodei|related|2026-03-28
+- Google DeepMind|related|2026-03-28
+- Safe Superintelligence Inc.|related|2026-03-28
+- Thinking Machines Lab|related|2026-03-28
+- xAI|related|2026-03-28
 ---
 
 # OpenAI
diff --git a/entities/ai-alignment/xai.md b/entities/ai-alignment/xai.md
index e98c19dd..0b1412e0 100644
--- a/entities/ai-alignment/xai.md
+++ b/entities/ai-alignment/xai.md
@@ -21,11 +21,11 @@ tracked_by: theseus
 created: 2026-03-16
 last_updated: 2026-03-16
 related:
-  - "Google DeepMind"
-  - "OpenAI"
+- Google DeepMind
+- OpenAI
 reweave_edges:
-  - "Google DeepMind|related|2026-03-28"
-  - "OpenAI|related|2026-03-28"
+- Google DeepMind|related|2026-03-28
+- OpenAI|related|2026-03-28
 ---
 
 # xAI
diff --git a/entities/internet-finance/areal.md b/entities/internet-finance/areal.md
index 5e74c5d3..99558973 100644
--- a/entities/internet-finance/areal.md
+++ b/entities/internet-finance/areal.md
@@ -21,15 +21,15 @@ tracked_by: rio
 created: 2026-03-11
 source_archive: "inbox/archive/2026-03-07-futardio-launch-areal.md"
 supports:
-  - "areal demonstrates rwa tokenization with vehicle pilot achieving 26 percent apy through carsharing revenue"
-  - "Areal: Futardio ICO Launch"
-  - "areal proposes unified rwa liquidity through index token aggregating yield across project tokens"
-  - "areal targets smb rwa tokenization as underserved market versus equity and large financial instruments"
+- areal demonstrates rwa tokenization with vehicle pilot achieving 26 percent apy through carsharing revenue
+- Areal: Futardio ICO Launch
+- areal proposes unified rwa liquidity through index token aggregating yield across project tokens
+- areal targets smb rwa tokenization as underserved market versus equity and large financial instruments
 reweave_edges:
-  - "areal demonstrates rwa tokenization with vehicle pilot achieving 26 percent apy through carsharing revenue|supports|2026-04-04"
-  - "Areal: Futardio ICO Launch|supports|2026-04-04"
-  - "areal proposes unified rwa liquidity through index token aggregating yield across project tokens|supports|2026-04-04"
-  - "areal targets smb rwa tokenization as underserved market versus equity and large financial instruments|supports|2026-04-04"
+- areal demonstrates rwa tokenization with vehicle pilot achieving 26 percent apy through carsharing revenue|supports|2026-04-04
+- Areal: Futardio ICO Launch|supports|2026-04-04
+- areal proposes unified rwa liquidity through index token aggregating yield across project tokens|supports|2026-04-04
+- areal targets smb rwa tokenization as underserved market versus equity and large financial instruments|supports|2026-04-04
 ---
 
 # Areal DAO
diff --git a/entities/internet-finance/futardio.md b/entities/internet-finance/futardio.md
index 9ea4194b..b0a50f12 100644
--- a/entities/internet-finance/futardio.md
+++ b/entities/internet-finance/futardio.md
@@ -21,9 +21,9 @@ competitors: ["pump.fun", "Doppler"]
 built_on: ["Solana", "MetaDAO Autocrat"]
 tags: ["launchpad", "ownership-coins", "futarchy", "unruggable-ico", "permissionless-launches"]
 related:
-  - "algorithm driven social feeds create attention to liquidity conversion in meme token markets"
+- algorithm driven social feeds create attention to liquidity conversion in meme token markets
 reweave_edges:
-  - "algorithm driven social feeds create attention to liquidity conversion in meme token markets|related|2026-04-04"
+- algorithm driven social feeds create attention to liquidity conversion in meme token markets|related|2026-04-04
 ---
 
 # Futardio
diff --git a/foundations/collective-intelligence/active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory.md b/foundations/collective-intelligence/active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory.md
index 9727cc1b..4cec6336 100644
--- a/foundations/collective-intelligence/active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory.md	
+++ b/foundations/collective-intelligence/active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory.md	
@@ -6,17 +6,17 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 20: The Art of Forgetting', X Article, February 2026; grounded in synaptic pruning research (newborns ~2x adult synaptic connections), retrieval-induced forgetting (well-established memory research), hyperthymesia case studies, CREW method from library science (Continuous Review Evaluation and Weeding)"
 created: 2026-03-31
 depends_on:
-  - "three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales"
+- three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales
 challenged_by:
-  - "knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate"
+- knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate
 related:
-  - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce"
-  - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses"
-  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally"
+- AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce
+- friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses
+- reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally
 reweave_edges:
-  - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|related|2026-04-03"
-  - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses|related|2026-04-04"
-  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|related|2026-04-04"
+- AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|related|2026-04-03
+- friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses|related|2026-04-04
+- reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|related|2026-04-04
 ---
 
 # Active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory
diff --git a/foundations/collective-intelligence/adversarial contribution produces higher-quality collective knowledge than collaborative contribution when wrong challenges have real cost evaluation is structurally separated from contribution and confirmation is rewarded alongside novelty.md b/foundations/collective-intelligence/adversarial contribution produces higher-quality collective knowledge than collaborative contribution when wrong challenges have real cost evaluation is structurally separated from contribution and confirmation is rewarded alongside novelty.md
index db7d6168..9a136e94 100644
--- a/foundations/collective-intelligence/adversarial contribution produces higher-quality collective knowledge than collaborative contribution when wrong challenges have real cost evaluation is structurally separated from contribution and confirmation is rewarded alongside novelty.md	
+++ b/foundations/collective-intelligence/adversarial contribution produces higher-quality collective knowledge than collaborative contribution when wrong challenges have real cost evaluation is structurally separated from contribution and confirmation is rewarded alongside novelty.md	
@@ -6,9 +6,9 @@ confidence: experimental
 source: "Theseus, original analysis drawing on prediction market evidence, scientific peer review, and mechanism design theory"
 created: 2026-03-11
 supports:
-  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine"
+- agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine
 reweave_edges:
-  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine|supports|2026-04-04"
+- agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine|supports|2026-04-04
 ---
 
 # Adversarial contribution produces higher-quality collective knowledge than collaborative contribution when wrong challenges have real cost evaluation is structurally separated from contribution and confirmation is rewarded alongside novelty
diff --git a/foundations/collective-intelligence/collective intelligence requires diversity as a structural precondition not a moral preference.md b/foundations/collective-intelligence/collective intelligence requires diversity as a structural precondition not a moral preference.md
index 4c789936..5425fb6e 100644
--- a/foundations/collective-intelligence/collective intelligence requires diversity as a structural precondition not a moral preference.md	
+++ b/foundations/collective-intelligence/collective intelligence requires diversity as a structural precondition not a moral preference.md	
@@ -7,9 +7,9 @@ created: 2026-02-16
 confidence: proven
 source: "TeleoHumanity Manifesto, Chapter 4"
 supports:
-  - "human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions"
+- human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions
 reweave_edges:
-  - "human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions|supports|2026-03-28"
+- human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high exposure conditions|supports|2026-03-28
 ---
 
 # collective intelligence requires diversity as a structural precondition not a moral preference
diff --git a/foundations/collective-intelligence/coordination failures arise from individually rational strategies that produce collectively irrational outcomes because the Nash equilibrium of non-cooperation dominates when trust and enforcement are absent.md b/foundations/collective-intelligence/coordination failures arise from individually rational strategies that produce collectively irrational outcomes because the Nash equilibrium of non-cooperation dominates when trust and enforcement are absent.md
index ab1b17c1..d10aadf4 100644
--- a/foundations/collective-intelligence/coordination failures arise from individually rational strategies that produce collectively irrational outcomes because the Nash equilibrium of non-cooperation dominates when trust and enforcement are absent.md	
+++ b/foundations/collective-intelligence/coordination failures arise from individually rational strategies that produce collectively irrational outcomes because the Nash equilibrium of non-cooperation dominates when trust and enforcement are absent.md	
@@ -6,9 +6,9 @@ confidence: proven
 source: "Nash (1950); Axelrod, The Evolution of Cooperation (1984); Ostrom, Governing the Commons (1990)"
 created: 2026-03-07
 supports:
-  - "multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile"
+- multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile
 reweave_edges:
-  - "multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile|supports|2026-04-04"
+- multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile|supports|2026-04-04
 ---
 
 # coordination failures arise from individually rational strategies that produce collectively irrational outcomes because the Nash equilibrium of non-cooperation dominates when trust and enforcement are absent
diff --git a/foundations/collective-intelligence/principal-agent problems arise whenever one party acts on behalf of another with divergent interests and unobservable effort because information asymmetry makes perfect contracts impossible.md b/foundations/collective-intelligence/principal-agent problems arise whenever one party acts on behalf of another with divergent interests and unobservable effort because information asymmetry makes perfect contracts impossible.md
index fa89b472..527b7b25 100644
--- a/foundations/collective-intelligence/principal-agent problems arise whenever one party acts on behalf of another with divergent interests and unobservable effort because information asymmetry makes perfect contracts impossible.md	
+++ b/foundations/collective-intelligence/principal-agent problems arise whenever one party acts on behalf of another with divergent interests and unobservable effort because information asymmetry makes perfect contracts impossible.md	
@@ -6,11 +6,11 @@ confidence: proven
 source: "Jensen & Meckling (1976); Akerlof, Market for Lemons (1970); Holmström (1979); Arrow (1963)"
 created: 2026-03-07
 related:
-  - "AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary"
-  - "trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary"
+- AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary
+- trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary
 reweave_edges:
-  - "AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary|related|2026-03-28"
-  - "trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary|related|2026-04-03"
+- AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary|related|2026-03-28
+- trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary|related|2026-04-03
 ---
 
 # principal-agent problems arise whenever one party acts on behalf of another with divergent interests and unobservable effort because information asymmetry makes perfect contracts impossible
diff --git a/foundations/collective-intelligence/reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally.md b/foundations/collective-intelligence/reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally.md
index ea87140e..9c095487 100644
--- a/foundations/collective-intelligence/reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally.md	
+++ b/foundations/collective-intelligence/reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally.md	
@@ -6,15 +6,15 @@ confidence: likely
 source: "Cornelius (@molt_cornelius) 'Agentic Note-Taking 15: Reweave Your Notes', X Article, February 2026; historical contrast with Luhmann's paper Zettelkasten (physical permanence prevented reweaving); digital mutability as prerequisite capability"
 created: 2026-03-31
 depends_on:
-  - "active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory"
+- active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory
 challenged_by:
-  - "anchor calcification occurs when cognitive anchors that initially stabilize attention become resistant to updating because the stability they provide suppresses the discomfort signal that would trigger revision"
+- anchor calcification occurs when cognitive anchors that initially stabilize attention become resistant to updating because the stability they provide suppresses the discomfort signal that would trigger revision
 related:
-  - "AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred"
-  - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses"
+- AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred
+- friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses
 reweave_edges:
-  - "AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred|related|2026-04-04"
-  - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses|related|2026-04-04"
+- AI processing that restructures content without generating new connections is expensive transcription because transformation not reorganization is the test for whether thinking actually occurred|related|2026-04-04
+- friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses|related|2026-04-04
 ---
 
 # Reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally
diff --git a/foundations/collective-intelligence/the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it.md b/foundations/collective-intelligence/the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it.md
index 5ac4ced5..cf940cde 100644
--- a/foundations/collective-intelligence/the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it.md	
+++ b/foundations/collective-intelligence/the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it.md	
@@ -8,11 +8,11 @@ created: 2026-02-17
 source: "AI Safety Forum discussions; multiple alignment researchers 2025"
 confidence: likely
 related:
-  - "AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations"
-  - "surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference"
+- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations
+- surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference
 reweave_edges:
-  - "AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28"
-  - "surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference|related|2026-03-28"
+- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28
+- surveillance of AI reasoning traces degrades trace quality through self censorship making consent gated sharing an alignment requirement not just a privacy preference|related|2026-03-28
 ---
 
 # the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it
diff --git a/foundations/critical-systems/Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries.md b/foundations/critical-systems/Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries.md
index 182efa0b..015797f8 100644
--- a/foundations/critical-systems/Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries.md	
+++ b/foundations/critical-systems/Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries.md	
@@ -6,9 +6,9 @@ created: 2026-02-16
 confidence: proven
 source: "Understanding Markov Blankets: The Mathematics of Biological Organization"
 supports:
-  - "active inference operates at every scale of biological organization from cells to societies"
+- active inference operates at every scale of biological organization from cells to societies
 reweave_edges:
-  - "active inference operates at every scale of biological organization from cells to societies|supports|2026-04-04"
+- active inference operates at every scale of biological organization from cells to societies|supports|2026-04-04
 ---
 
 # Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries
diff --git a/foundations/critical-systems/biological systems minimize free energy to maintain their states and resist entropic decay.md b/foundations/critical-systems/biological systems minimize free energy to maintain their states and resist entropic decay.md
index ce958482..039c17f1 100644
--- a/foundations/critical-systems/biological systems minimize free energy to maintain their states and resist entropic decay.md	
+++ b/foundations/critical-systems/biological systems minimize free energy to maintain their states and resist entropic decay.md	
@@ -6,9 +6,9 @@ created: 2026-02-16
 confidence: likely
 source: "Friston 2010, Nature Reviews Neuroscience; Friston et al 2006, Journal of Physiology Paris"
 supports:
-  - "active inference operates at every scale of biological organization from cells to societies"
+- active inference operates at every scale of biological organization from cells to societies
 reweave_edges:
-  - "active inference operates at every scale of biological organization from cells to societies|supports|2026-04-04"
+- active inference operates at every scale of biological organization from cells to societies|supports|2026-04-04
 ---
 
 # biological systems minimize free energy to maintain their states and resist entropic decay
diff --git a/foundations/critical-systems/optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns.md b/foundations/critical-systems/optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns.md
index f4d02245..467a91c7 100644
--- a/foundations/critical-systems/optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns.md	
+++ b/foundations/critical-systems/optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns.md	
@@ -8,9 +8,9 @@ confidence: proven
 tradition: "complexity economics, risk management, Teleological Investing"
 created: 2026-02-28
 related:
-  - "delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on"
+- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on
 reweave_edges:
-  - "delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28"
+- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28
 ---
 
 # optimization for efficiency without regard for resilience creates systemic fragility because interconnected systems transmit and amplify local failures into cascading breakdowns
diff --git a/foundations/cultural-dynamics/collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution.md b/foundations/cultural-dynamics/collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution.md
index 69fad273..3ca5225c 100644
--- a/foundations/cultural-dynamics/collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution.md	
+++ b/foundations/cultural-dynamics/collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution.md	
@@ -7,9 +7,9 @@ confidence: proven
 source: "Olson 1965 The Logic of Collective Action; Ostrom 1990 Governing the Commons (boundary condition)"
 created: 2026-03-08
 related:
-  - "AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary"
+- AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary
 reweave_edges:
-  - "AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary|related|2026-03-28"
+- AI agents as personal advocates collapse Coasean transaction costs enabling bottom up coordination at societal scale but catastrophic risks remain non negotiable requiring state enforcement as outer boundary|related|2026-03-28
 ---
 
 # collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution
diff --git a/foundations/cultural-dynamics/ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties.md b/foundations/cultural-dynamics/ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties.md
index 0383add2..2af3b716 100644
--- a/foundations/cultural-dynamics/ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties.md	
+++ b/foundations/cultural-dynamics/ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties.md	
@@ -7,9 +7,9 @@ source: "Centola 2010 Science, Centola 2018 Science, web research compilation Fe
 confidence: likely
 tradition: "network science, complex contagion, diffusion theory"
 supports:
-  - "community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members"
+- community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members
 reweave_edges:
-  - "community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members|supports|2026-04-04"
+- community owned IP grows through complex contagion not viral spread because fandom requires multiple reinforcing exposures from trusted community members|supports|2026-04-04
 ---
 
 Damon Centola's research distinguishes two types of social contagion with fundamentally different diffusion dynamics. Simple contagion (information, disease) requires only one contact for transmission and spreads best through weak ties and small-world networks. Complex contagion (behavioral change, ideology adoption) requires multiple sources of reinforcement before adoption. Counterintuitively, weak ties and small-world networks can actually slow complex contagion because a signal traveling across a weak tie arrives alone, without social reinforcement.