reweave: 2026 04 07 #2465

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m3taversal added 1 commit 2026-04-07 01:30:08 +00:00
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Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes.

This is an automated message from the Teleo pipeline.

Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes. _This is an automated message from the Teleo pipeline._
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-04-07 01:30 UTC

<!-- TIER0-VALIDATION:4d9fb53f596af413861df08ee8ec0bd13b1696e4 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-04-07 01:30 UTC*
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Auto-approved: reweave structural update (frontmatter edges only). Leo reviews manually.

Auto-approved: reweave structural update (frontmatter edges only). Leo reviews manually.
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Eval started — 2 reviewers: leo (cross-domain, opus), vida (domain-peer, sonnet)

teleo-eval-orchestrator v2

**Eval started** — 2 reviewers: leo (cross-domain, opus), vida (domain-peer, sonnet) *teleo-eval-orchestrator v2*
m3taversal closed this pull request 2026-04-07 01:32:52 +00:00
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Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.

Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.
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Vida Domain Peer Review — PR #2465

Reviewer: Vida | Date: 2026-04-07

What This PR Is

This is a reweave commit — the single commit (4d9fb53f) adds reweave_edges frontmatter and supports/related entries connecting 19 previously orphaned claims to the rest of the graph. The claims themselves were introduced in prior PRs. No new claim bodies are modified; no new claims are added.

What the Reweave Gets Right

The connections are substantively correct. The key linkages added:

CVD cluster. cvd-stagnation-drives-us-life-expectancy-plateau-3-11x-more-than-drug-deaths now supports midlife-cvd-mortality-increased-after-2010, and cvd-mortality-stagnation-affects-all-income-levels is connected to the same midlife claim. Both are accurate: the Shiels PNAS 2020 paper and the Abrams AJE 2025 paper are studying the same structural phenomenon from different angles. The connection is warranted.

Hypertension cluster. hypertension-shifted-from-secondary-to-primary-cvd-mortality-driver-since-2022 now also supports us-heart-failure-mortality-reversed. This is mechanistically correct — the "improved acute care creates more survivors with cardiometabolic burden" logic is the right causal story linking hypertension's rise to heart failure's all-time high. Good addition.

Clinical AI regulatory cluster. The connections between regulatory-deregulation-occurring-during-active-harm-accumulation, regulatory-rollback-clinical-ai-eu-us-2025-2026, regulatory-vacuum-emerges, and clinical-ai-safety-gap-is-doubly-structural are all accurate. These claims were describing related phenomena and should be linked.

Multi-agent clinical AI. multi-agent-clinical-ai-reduces-computational-cost-65x now supports multi-agent-clinical-ai-adoption-driven-by-efficiency-not-safety. The directionality is right: the efficiency evidence drives the adoption claim.

GLP-1 cluster. Both cipla-dual-role and indian-generic-semaglutide-exports are now linked to tirzepatide-patent-thicket-extends-exclusivity-to-2041. These three claims form a coherent picture of GLP-1 market bifurcation and the connections are accurate.

Digital health equity. generic-digital-health-deployment-reproduces-existing-disparities is connected to tailored-digital-health-interventions-achieve-sustained-bp-reduction. This is the most useful connection in the PR — the two claims define the "generic deployment fails, tailored deployment works" contrast that the KB needs.

Issues Worth Noting

Dirty supports field in fda-maude-cannot-identify-ai-contributions and fda-maude-database-lacks-ai-specific-adverse-event-fields. Both files contain a malformed dict-style supports entry that survived from a prior state:

- {'The clinical AI safety gap is doubly structural': "FDA enforcement discretion removes pre-deployment..."}

This is alongside a clean plain-text version of the same target. The reweave added the clean version but didn't clean up the malformed one. This isn't introduced by this PR but the reweave touched these files and didn't fix it. Not a blocker — the clean edge is present — but it's a schema violation that should be noted for follow-up cleanup.

human-in-the-loop claim filename still has spaces. The file 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.md has spaces in the filename, inconsistent with every other claim file. This PR adds a reweave_edges entry to it. Again, not introduced here, but the PR touched the file without fixing the naming. Minor.

The uk-eu-us-clinical-ai-regulation-converged-on-adoption-acceleration-q1-2026 supports an entity file (UK House of Lords Science and Technology Committee) rather than a claim file. This is odd — the supports field normally points to claims, not entities. The semantic relationship makes sense (the Lords inquiry supports the convergence claim), but the structural direction is questionable. Should be related at most, or the entity file should link to the claim rather than the reverse.

Confidence Calibration

The underlying claims are well-calibrated for a reweave review perspective. The CVD bifurcation claims use AHA and JACC official statistics sources and proven is appropriate. The regulatory rollback cluster uses experimental appropriately given the recency and interpretive nature. The upf-driven-chronic-inflammation-creates-continuous-vascular-risk-regeneration claim being experimental is right — the body explicitly notes this is an inferential connection, not a direct study, and the source line confirms this. The UPF-hypertension incidence claim rated likely is correct: the REGARDS data is prospective with biomarker mechanism, which justifies likely rather than proven.

One Tension to Flag

cvd-stagnation-drives-us-life-expectancy-plateau-3-11x-more-than-drug-deaths uses 2010-2017 data (Shiels PNAS 2020). The "deaths of despair" counter-narrative that this claim challenges (Americas declining life expectancy is driven by deaths of despair...) is not wrong — it's about a different period and population. The reweave correctly leaves these as separate claims rather than merging them, but there may be grounds for a divergence file here. Not required for this PR to merge, but worth flagging for Vida's backlog: the 2010-2017 data shows CVD as primary driver; post-2017 data on opioid deaths is more contested. These two claims could use a divergence-cvd-vs-despair-deaths-us-life-expectancy.md to clarify the scope boundary.

Verdict: approve
Model: sonnet
Summary: This is a clean reweave connecting orphan claims with substantively accurate edges. The CVD, clinical AI regulatory, multi-agent AI, and GLP-1 clusters are all appropriately linked. Two pre-existing schema issues (malformed dict in supports fields, spaced filename) were not introduced by this PR and don't block merge. The entity-as-supports-target in the Lords inquiry file is mildly incorrect structurally but not a blocker. The underlying claims are sound from a health domain perspective.

# Vida Domain Peer Review — PR #2465 *Reviewer: Vida | Date: 2026-04-07* ## What This PR Is This is a reweave commit — the single commit (`4d9fb53f`) adds `reweave_edges` frontmatter and `supports`/`related` entries connecting 19 previously orphaned claims to the rest of the graph. The claims themselves were introduced in prior PRs. No new claim bodies are modified; no new claims are added. ## What the Reweave Gets Right The connections are substantively correct. The key linkages added: **CVD cluster.** `cvd-stagnation-drives-us-life-expectancy-plateau-3-11x-more-than-drug-deaths` now supports `midlife-cvd-mortality-increased-after-2010`, and `cvd-mortality-stagnation-affects-all-income-levels` is connected to the same midlife claim. Both are accurate: the Shiels PNAS 2020 paper and the Abrams AJE 2025 paper are studying the same structural phenomenon from different angles. The connection is warranted. **Hypertension cluster.** `hypertension-shifted-from-secondary-to-primary-cvd-mortality-driver-since-2022` now also supports `us-heart-failure-mortality-reversed`. This is mechanistically correct — the "improved acute care creates more survivors with cardiometabolic burden" logic is the right causal story linking hypertension's rise to heart failure's all-time high. Good addition. **Clinical AI regulatory cluster.** The connections between `regulatory-deregulation-occurring-during-active-harm-accumulation`, `regulatory-rollback-clinical-ai-eu-us-2025-2026`, `regulatory-vacuum-emerges`, and `clinical-ai-safety-gap-is-doubly-structural` are all accurate. These claims were describing related phenomena and should be linked. **Multi-agent clinical AI.** `multi-agent-clinical-ai-reduces-computational-cost-65x` now supports `multi-agent-clinical-ai-adoption-driven-by-efficiency-not-safety`. The directionality is right: the efficiency evidence drives the adoption claim. **GLP-1 cluster.** Both `cipla-dual-role` and `indian-generic-semaglutide-exports` are now linked to `tirzepatide-patent-thicket-extends-exclusivity-to-2041`. These three claims form a coherent picture of GLP-1 market bifurcation and the connections are accurate. **Digital health equity.** `generic-digital-health-deployment-reproduces-existing-disparities` is connected to `tailored-digital-health-interventions-achieve-sustained-bp-reduction`. This is the most useful connection in the PR — the two claims define the "generic deployment fails, tailored deployment works" contrast that the KB needs. ## Issues Worth Noting **Dirty `supports` field in `fda-maude-cannot-identify-ai-contributions` and `fda-maude-database-lacks-ai-specific-adverse-event-fields`.** Both files contain a malformed dict-style supports entry that survived from a prior state: ```yaml - {'The clinical AI safety gap is doubly structural': "FDA enforcement discretion removes pre-deployment..."} ``` This is alongside a clean plain-text version of the same target. The reweave added the clean version but didn't clean up the malformed one. This isn't introduced by this PR but the reweave touched these files and didn't fix it. Not a blocker — the clean edge is present — but it's a schema violation that should be noted for follow-up cleanup. **`human-in-the-loop` claim filename still has spaces.** The file `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.md` has spaces in the filename, inconsistent with every other claim file. This PR adds a `reweave_edges` entry to it. Again, not introduced here, but the PR touched the file without fixing the naming. Minor. **The `uk-eu-us-clinical-ai-regulation-converged-on-adoption-acceleration-q1-2026` supports an entity file** (`UK House of Lords Science and Technology Committee`) rather than a claim file. This is odd — the `supports` field normally points to claims, not entities. The semantic relationship makes sense (the Lords inquiry supports the convergence claim), but the structural direction is questionable. Should be `related` at most, or the entity file should link to the claim rather than the reverse. ## Confidence Calibration The underlying claims are well-calibrated for a reweave review perspective. The CVD bifurcation claims use AHA and JACC official statistics sources and `proven` is appropriate. The regulatory rollback cluster uses `experimental` appropriately given the recency and interpretive nature. The `upf-driven-chronic-inflammation-creates-continuous-vascular-risk-regeneration` claim being `experimental` is right — the body explicitly notes this is an inferential connection, not a direct study, and the source line confirms this. The UPF-hypertension incidence claim rated `likely` is correct: the REGARDS data is prospective with biomarker mechanism, which justifies `likely` rather than `proven`. ## One Tension to Flag `cvd-stagnation-drives-us-life-expectancy-plateau-3-11x-more-than-drug-deaths` uses 2010-2017 data (Shiels PNAS 2020). The "deaths of despair" counter-narrative that this claim challenges (`Americas declining life expectancy is driven by deaths of despair...`) is not wrong — it's about a different period and population. The reweave correctly leaves these as separate claims rather than merging them, but there may be grounds for a divergence file here. Not required for this PR to merge, but worth flagging for Vida's backlog: the 2010-2017 data shows CVD as primary driver; post-2017 data on opioid deaths is more contested. These two claims could use a `divergence-cvd-vs-despair-deaths-us-life-expectancy.md` to clarify the scope boundary. **Verdict:** approve **Model:** sonnet **Summary:** This is a clean reweave connecting orphan claims with substantively accurate edges. The CVD, clinical AI regulatory, multi-agent AI, and GLP-1 clusters are all appropriately linked. Two pre-existing schema issues (malformed dict in `supports` fields, spaced filename) were not introduced by this PR and don't block merge. The entity-as-supports-target in the Lords inquiry file is mildly incorrect structurally but not a blocker. The underlying claims are sound from a health domain perspective. <!-- VERDICT:VIDA:APPROVE -->
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Leo Cross-Domain Review — PR #2465

Branch: reweave/2026-04-07
Files: 30 (22 health, 6 space-development, 1 grand-strategy, 1 entity)

Issues Requiring Changes

1. YAML formatting errors — two FDA MAUDE claims

Both fda-maude-cannot-identify-ai-contributions-... and fda-maude-database-lacks-ai-specific-adverse-event-fields-... have malformed supports and reweave_edges frontmatter. Dictionary syntax {'key': "value"} is mixed into YAML list items:

supports:
- {'The clinical AI safety gap is doubly structural': "FDA enforcement..."}

This will break any YAML parser. Should be plain string list items like the other claims in this PR.

2. Near-duplicate: SBSP/ODC infrastructure claims

Two claims make the same argument:

  • orbital-data-centers-and-space-based-solar-power-share-identical-infrastructure-requirements-... (experimental, created 2026-04-04)
  • space-based-solar-power-and-orbital-data-centers-share-infrastructure-... (likely, created 2026-04-03)

Same thesis (ODC as revenue bridge to SBSP), same company (Aetherflux), same mechanism (shared sun-synchronous orbit infrastructure). Different source dates (Dec 2025 announcement vs April 2025 TechCrunch) but the claims are semantically identical. Merge into one or differentiate their scope. The "likely" version is more concise and better written — I'd keep that one and fold the "experimental" version's Galactic Brain specifics into it.

3. Regulatory rollback title overclaims mechanism

regulatory-rollback-clinical-ai-eu-us-2025-2026-... uses "regulatory capture" in the title, which asserts a causal mechanism (industry influence → deregulation). The evidence supports simultaneous deregulation across jurisdictions, not the capture mechanism specifically. The description correctly says "loosened requirements within two months" — the title should match. Recommend: "...represents parallel regulatory retreat occurring simultaneously with..." or similar.

Observations (non-blocking)

Clinical AI regulatory cluster is dense but differentiated

Five claims cover the same regulatory phenomenon (#3 clinical-ai-safety-gap, #14 deregulation-during-harm, #15 regulatory-rollback, #16 regulatory-vacuum, #17 uk-eu-us-convergence). Each has distinct scope: #3 is structural (pre+post gap), #14 is temporal (same-month contradiction), #15 is EU+US with mechanism claim, #16 is EU Commission vs WHO epistemic divergence, #17 adds UK to make tri-jurisdictional. This is at the edge of redundancy but each claim is individually disagree-able, so it passes. A divergence file or synthesis claim connecting them would add value in a future PR.

CVD/healthspan cluster is strong

The CVD claims form a coherent causal chain: bifurcation (proven) → hypertension as primary driver (proven) → UPF inflammation mechanism (likely) → treatment failure explanation (experimental). Each ratchets down in confidence as it moves from epidemiology to mechanism to inference. Good calibration.

Cross-domain connection worth noting

The multi-agent clinical AI claims (#12, #13) have an unlinked connection to Theseus's domain. Multi-agent architecture reducing compute 65x while maintaining performance is directly relevant to AI alignment claims about specialization vs generalization tradeoffs. A wiki link to any existing collective-intelligence or multi-agent claims would strengthen both domains.

AI weapons governance claim is well-constructed

The strategic utility stratification framework (Ottawa Treaty path for medium-utility weapons) properly extends existing claims about legislative ceilings and stigmatization campaigns. Wiki links resolve. Experimental confidence is appropriate for a synthesis claim.

Entity file

entities/health/uk-house-of-lords-science-technology-committee.md is a clean entity file supporting the UK regulatory convergence claim. No issues.

Summary of Required Changes

  1. Fix YAML formatting in two FDA MAUDE claim files (malformed dictionary syntax in supports and reweave_edges)
  2. Merge or differentiate the two SBSP/ODC infrastructure claims
  3. Soften regulatory rollback title from "regulatory capture" to match evidence scope

Verdict: request_changes
Model: opus
Summary: Strong 30-file PR building two coherent claim clusters (CVD causal chain, clinical AI regulatory landscape) plus space infrastructure and weapons governance. Three issues block: YAML parsing errors in two files, a near-duplicate pair in space-development, and one title that overclaims its mechanism. The health claims show good confidence calibration and the CVD chain is particularly well-constructed.

# Leo Cross-Domain Review — PR #2465 **Branch:** reweave/2026-04-07 **Files:** 30 (22 health, 6 space-development, 1 grand-strategy, 1 entity) ## Issues Requiring Changes ### 1. YAML formatting errors — two FDA MAUDE claims Both `fda-maude-cannot-identify-ai-contributions-...` and `fda-maude-database-lacks-ai-specific-adverse-event-fields-...` have malformed `supports` and `reweave_edges` frontmatter. Dictionary syntax `{'key': "value"}` is mixed into YAML list items: ```yaml supports: - {'The clinical AI safety gap is doubly structural': "FDA enforcement..."} ``` This will break any YAML parser. Should be plain string list items like the other claims in this PR. ### 2. Near-duplicate: SBSP/ODC infrastructure claims Two claims make the same argument: - `orbital-data-centers-and-space-based-solar-power-share-identical-infrastructure-requirements-...` (experimental, created 2026-04-04) - `space-based-solar-power-and-orbital-data-centers-share-infrastructure-...` (likely, created 2026-04-03) Same thesis (ODC as revenue bridge to SBSP), same company (Aetherflux), same mechanism (shared sun-synchronous orbit infrastructure). Different source dates (Dec 2025 announcement vs April 2025 TechCrunch) but the claims are semantically identical. Merge into one or differentiate their scope. The "likely" version is more concise and better written — I'd keep that one and fold the "experimental" version's Galactic Brain specifics into it. ### 3. Regulatory rollback title overclaims mechanism `regulatory-rollback-clinical-ai-eu-us-2025-2026-...` uses "regulatory capture" in the title, which asserts a causal mechanism (industry influence → deregulation). The evidence supports simultaneous deregulation across jurisdictions, not the capture mechanism specifically. The description correctly says "loosened requirements within two months" — the title should match. Recommend: "...represents parallel regulatory retreat occurring simultaneously with..." or similar. ## Observations (non-blocking) ### Clinical AI regulatory cluster is dense but differentiated Five claims cover the same regulatory phenomenon (#3 clinical-ai-safety-gap, #14 deregulation-during-harm, #15 regulatory-rollback, #16 regulatory-vacuum, #17 uk-eu-us-convergence). Each has distinct scope: #3 is structural (pre+post gap), #14 is temporal (same-month contradiction), #15 is EU+US with mechanism claim, #16 is EU Commission vs WHO epistemic divergence, #17 adds UK to make tri-jurisdictional. This is at the edge of redundancy but each claim is individually disagree-able, so it passes. A divergence file or synthesis claim connecting them would add value in a future PR. ### CVD/healthspan cluster is strong The CVD claims form a coherent causal chain: bifurcation (proven) → hypertension as primary driver (proven) → UPF inflammation mechanism (likely) → treatment failure explanation (experimental). Each ratchets down in confidence as it moves from epidemiology to mechanism to inference. Good calibration. ### Cross-domain connection worth noting The multi-agent clinical AI claims (#12, #13) have an unlinked connection to Theseus's domain. Multi-agent architecture reducing compute 65x while maintaining performance is directly relevant to AI alignment claims about specialization vs generalization tradeoffs. A wiki link to any existing collective-intelligence or multi-agent claims would strengthen both domains. ### AI weapons governance claim is well-constructed The strategic utility stratification framework (Ottawa Treaty path for medium-utility weapons) properly extends existing claims about legislative ceilings and stigmatization campaigns. Wiki links resolve. Experimental confidence is appropriate for a synthesis claim. ### Entity file `entities/health/uk-house-of-lords-science-technology-committee.md` is a clean entity file supporting the UK regulatory convergence claim. No issues. ## Summary of Required Changes 1. Fix YAML formatting in two FDA MAUDE claim files (malformed dictionary syntax in `supports` and `reweave_edges`) 2. Merge or differentiate the two SBSP/ODC infrastructure claims 3. Soften regulatory rollback title from "regulatory capture" to match evidence scope --- **Verdict:** request_changes **Model:** opus **Summary:** Strong 30-file PR building two coherent claim clusters (CVD causal chain, clinical AI regulatory landscape) plus space infrastructure and weapons governance. Three issues block: YAML parsing errors in two files, a near-duplicate pair in space-development, and one title that overclaims its mechanism. The health claims show good confidence calibration and the CVD chain is particularly well-constructed. <!-- VERDICT:LEO:REQUEST_CHANGES -->
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Changes requested by leo(cross-domain). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*

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