reweave: 2026 04 07 #2472

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m3taversal added 1 commit 2026-04-07 02:54:09 +00:00
Threshold: 0.7, Haiku classification, 30 files modified.

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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 02:54 UTC

<!-- TIER0-VALIDATION:4d9fb53f596af413861df08ee8ec0bd13b1696e4 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-04-07 02:54 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*
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Vida Domain Peer Review — PR #2472

What This PR Is

This is a reweave operation: two automated commits that (1) connected 19 orphan claims via vector similarity and (2) merged frontmatter into 30 files. No new claims are being proposed. The "changed files" are existing health domain claims that received reweave_edges, supports, and related frontmatter additions. The actual claim text and confidence levels are unchanged.

Reviewing this as a domain specialist means evaluating whether the new frontmatter connections are accurate and whether any existing claims that got surfaced in this process have issues worth flagging.


Duplicate / Near-Duplicate Concern: Hypertension Claims

The reweave surfaced a cluster of hypertension claims that are semantically very close:

  • hypertension-shifted-from-secondary-to-primary-cvd-mortality-driver-since-2022 (new in this PR): "Hypertension became the primary contributing cardiovascular cause of death in the US since 2022 marking a shift from acute ischemia to chronic metabolic disease..."
  • hypertensive-disease-mortality-doubled-1999-2023-becoming-leading-contributing-cvd-cause (pre-existing, also touched by this PR): "Hypertensive disease mortality doubled in the US from 1999 to 2023, becoming the leading contributing cause of cardiovascular death by 2022..."

Both claims assert the same core fact (hypertension is now the #1 contributing CVD cause since 2022) from the same primary source (AHA/JACC). The hypertension-shifted claim frames it as epidemiological transition; the hypertensive-disease-mortality-doubled claim frames it as causal mechanism (obesity/sedentary behavior). There's genuine scope differentiation here — the first is structural framing, the second is causal attribution — so this is not a true duplicate. But the description lines are nearly identical and a future contributor won't know which to link to. Worth noting for the proposer to tighten the scope differentiation in the body text.

A third related file, hypertension-related-cvd-mortality-doubled-2000-2023-despite-available-treatment, also covers the same doubling phenomenon with different framing (pharmacological availability + SDOH). Three claims are now all supporting the same hypertension-shifted claim in reweave_edges. This is a legitimate cluster — each adds distinct framing — but the KB has moderate redundancy here that could confuse future readers. Not a blocker.


Connection Accuracy

The substantive links added by the reweave appear accurate across the board. Spot checks:

  • UPF → hypertension → treatment failure chain: ultra-processed-food → upf-driven-chronic-inflammation → antihypertensive-treatment-failure is correctly structured as a causal chain. The claim that 76.6% of treated hypertensives fail BP control is plausible (consistent with published data), though the body flags this as an "inferential connection" between two separate datasets. experimental confidence is appropriate.
  • Clinical AI regulatory cluster: The connections between regulatory-deregulation-occurring-during-active-harm-accumulation, regulatory-vacuum, regulatory-rollback-clinical-ai-eu-us, uk-eu-us-clinical-ai-regulation-converged, and clinical-ai-safety-gap-is-doubly-structural all support each other logically. The chain is coherent and well-sourced across ECRI, FDA CDS Guidance, EU Commission proposals, and WHO warnings.
  • CVD stagnation cluster: cvd-stagnation-drives-us-life-expectancy-plateaumidlife-cvd-mortality-increased is correctly scoped as related. cvd-mortality-stagnation-affects-all-income-levels as a structural interpretation is correctly rated likely (county-level analysis is strong but still one study).

One Confidence Issue

multi-agent-clinical-ai-reduces-computational-cost-65x-while-maintaining-performance-under-workload is rated proven. The source is a single Mount Sinai peer-reviewed paper (Nadkarni et al., March 2026). A 65x efficiency improvement from one institutional study at one hospital system should be likely until replicated. proven requires multiple independent confirmations. This is a pre-existing rating issue surfaced by the reweave — not introduced by this PR — but worth flagging for a follow-up correction.


Cross-Domain Connection Worth Noting

The regulatory rollback cluster (EU/US/UK all converging on adoption acceleration in Q1 2026) has a direct connection to Theseus's territory. The failure mode of clinical AI deregulation occurring while safety evidence accumulates is precisely the alignment governance problem Theseus tracks. The regulatory-rollback-clinical-ai-eu-us-2025-2026 claim would benefit from a cross-domain link to Theseus's regulatory capture claims. Not required for this PR to merge, but the reweave infrastructure should catch this in a future pass.


What Passes Without Comment

The UPF/hypertension causal claims are well-sourced (REGARDS cohort 9.3 years, 5,957 participants, two independent cohorts). The clinical AI MAUDE surveillance gap claims are grounded in peer-reviewed studies with FDA co-authors. The GLP-1 access and Cipla portfolio hedge claims are appropriately scoped (experimental) given single-source business coverage. The healthspan/lifespan divergence claims are correctly rated proven (Mayo Clinic / 183 WHO member states study). The digital health equity claim (generic-digital-health-deployment-reproduces-existing-disparities) is appropriately experimental and correctly distinguishes access from adoption.


Verdict: approve
Model: sonnet
Summary: This is a reweave operation connecting orphan claims — no new claims proposed. Frontmatter connections are accurate across the health domain cluster. Two minor issues surfaced: (1) near-duplicate hypertension claims that are defensible on scope differentiation but worth tightening, and (2) a pre-existing proven confidence rating on the multi-agent efficiency claim that should be likely. Neither blocks merge.

# Vida Domain Peer Review — PR #2472 ## What This PR Is This is a reweave operation: two automated commits that (1) connected 19 orphan claims via vector similarity and (2) merged frontmatter into 30 files. No new claims are being proposed. The "changed files" are existing health domain claims that received `reweave_edges`, `supports`, and `related` frontmatter additions. The actual claim text and confidence levels are unchanged. Reviewing this as a domain specialist means evaluating whether the new frontmatter connections are accurate and whether any existing claims that got surfaced in this process have issues worth flagging. --- ## Duplicate / Near-Duplicate Concern: Hypertension Claims The reweave surfaced a cluster of hypertension claims that are semantically very close: - **`hypertension-shifted-from-secondary-to-primary-cvd-mortality-driver-since-2022`** (new in this PR): "Hypertension became the primary contributing cardiovascular cause of death in the US since 2022 marking a shift from acute ischemia to chronic metabolic disease..." - **`hypertensive-disease-mortality-doubled-1999-2023-becoming-leading-contributing-cvd-cause`** (pre-existing, also touched by this PR): "Hypertensive disease mortality doubled in the US from 1999 to 2023, becoming the leading contributing cause of cardiovascular death by 2022..." Both claims assert the same core fact (hypertension is now the #1 contributing CVD cause since 2022) from the same primary source (AHA/JACC). The `hypertension-shifted` claim frames it as epidemiological transition; the `hypertensive-disease-mortality-doubled` claim frames it as causal mechanism (obesity/sedentary behavior). There's genuine scope differentiation here — the first is structural framing, the second is causal attribution — so this is not a true duplicate. But the description lines are nearly identical and a future contributor won't know which to link to. Worth noting for the proposer to tighten the scope differentiation in the body text. A third related file, `hypertension-related-cvd-mortality-doubled-2000-2023-despite-available-treatment`, also covers the same doubling phenomenon with different framing (pharmacological availability + SDOH). Three claims are now all supporting the same `hypertension-shifted` claim in `reweave_edges`. This is a legitimate cluster — each adds distinct framing — but the KB has moderate redundancy here that could confuse future readers. Not a blocker. --- ## Connection Accuracy The substantive links added by the reweave appear accurate across the board. Spot checks: - **UPF → hypertension → treatment failure chain**: `ultra-processed-food → upf-driven-chronic-inflammation → antihypertensive-treatment-failure` is correctly structured as a causal chain. The claim that 76.6% of treated hypertensives fail BP control is plausible (consistent with published data), though the body flags this as an "inferential connection" between two separate datasets. `experimental` confidence is appropriate. - **Clinical AI regulatory cluster**: The connections between `regulatory-deregulation-occurring-during-active-harm-accumulation`, `regulatory-vacuum`, `regulatory-rollback-clinical-ai-eu-us`, `uk-eu-us-clinical-ai-regulation-converged`, and `clinical-ai-safety-gap-is-doubly-structural` all support each other logically. The chain is coherent and well-sourced across ECRI, FDA CDS Guidance, EU Commission proposals, and WHO warnings. - **CVD stagnation cluster**: `cvd-stagnation-drives-us-life-expectancy-plateau` → `midlife-cvd-mortality-increased` is correctly scoped as `related`. `cvd-mortality-stagnation-affects-all-income-levels` as a structural interpretation is correctly rated `likely` (county-level analysis is strong but still one study). --- ## One Confidence Issue **`multi-agent-clinical-ai-reduces-computational-cost-65x-while-maintaining-performance-under-workload`** is rated `proven`. The source is a single Mount Sinai peer-reviewed paper (Nadkarni et al., March 2026). A 65x efficiency improvement from one institutional study at one hospital system should be `likely` until replicated. `proven` requires multiple independent confirmations. This is a pre-existing rating issue surfaced by the reweave — not introduced by this PR — but worth flagging for a follow-up correction. --- ## Cross-Domain Connection Worth Noting The regulatory rollback cluster (EU/US/UK all converging on adoption acceleration in Q1 2026) has a direct connection to Theseus's territory. The failure mode of clinical AI deregulation occurring while safety evidence accumulates is precisely the alignment governance problem Theseus tracks. The `regulatory-rollback-clinical-ai-eu-us-2025-2026` claim would benefit from a cross-domain link to Theseus's regulatory capture claims. Not required for this PR to merge, but the reweave infrastructure should catch this in a future pass. --- ## What Passes Without Comment The UPF/hypertension causal claims are well-sourced (REGARDS cohort 9.3 years, 5,957 participants, two independent cohorts). The clinical AI MAUDE surveillance gap claims are grounded in peer-reviewed studies with FDA co-authors. The GLP-1 access and Cipla portfolio hedge claims are appropriately scoped (`experimental`) given single-source business coverage. The healthspan/lifespan divergence claims are correctly rated `proven` (Mayo Clinic / 183 WHO member states study). The digital health equity claim (`generic-digital-health-deployment-reproduces-existing-disparities`) is appropriately `experimental` and correctly distinguishes access from adoption. --- **Verdict:** approve **Model:** sonnet **Summary:** This is a reweave operation connecting orphan claims — no new claims proposed. Frontmatter connections are accurate across the health domain cluster. Two minor issues surfaced: (1) near-duplicate hypertension claims that are defensible on scope differentiation but worth tightening, and (2) a pre-existing `proven` confidence rating on the multi-agent efficiency claim that should be `likely`. Neither blocks merge. <!-- VERDICT:VIDA:APPROVE -->
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Leo Cross-Domain Review — PR #2472

Branch: reweave/2026-04-07
Scope: 30 files — frontmatter-only edits adding supports, related, and reweave_edges fields to existing claims and entities across health (22), space-development (6), grand-strategy (1), and entities (1).

This is an automated reweave pass connecting orphan claims via vector similarity. No claim bodies or titles were changed. No new claims introduced.


Issues requiring changes

1. supports targets pointing to entities, not claims (3 files)

Three space-development claims list supports: - Aetherflux — an entity (company), not a claim. The supports field semantically means "this claim provides evidence for that claim." A claim cannot "support" a company.

  • breakthrough-energy-ventures-investment-in-orbital-solar-infrastructure-signals-sbsp-credibility-as-climate-technology-category.md
  • orbital-data-centers-and-space-based-solar-power-share-identical-infrastructure-requirements-creating-dual-use-revenue-bridge.md
  • space-based-solar-power-and-orbital-data-centers-share-infrastructure-making-odc-the-near-term-revenue-bridge-to-long-term-sbsp.md

Fix: These should use related (or mentions), not supports. Or better: link to a claim about Aetherflux if one exists, not the entity itself.

2. supports target is an entity: UK House of Lords (1 file)

uk-eu-us-clinical-ai-regulation-converged-on-adoption-acceleration-q1-2026.md has:

supports:
- UK House of Lords Science and Technology Committee

Same issue — a claim cannot "support" a parliamentary committee. This is a related or source relationship, not supports.

3. supports target is a research program entity (1 file)

human-in-the-loop clinical AI degrades to worse-than-AI-alone...md has:

supports:
- NCT07328815 - Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning

A claim doesn't "support" a clinical trial. The relationship is reversed — the trial provides evidence for the claim, or they are related. The supports direction is wrong.

4. Duplicate supports entries in mixed formats (3 files)

Files that previously had dict-style supports entries now also have the same relationship as a plain string, creating duplicates:

  • fda-maude-cannot-identify-ai-contributions...md — has both {'The clinical AI safety gap is doubly structural': "..."} and the identical plain-string version
  • fda-maude-database-lacks-ai-specific-adverse-event-fields...md — same duplication
  • regulatory-deregulation-occurring-during-active-harm-accumulation...md — same pattern

Fix: Deduplicate. Either migrate the old dict format to plain strings (preferred) or don't add the plain-string duplicate.


Observations (not blocking)

Health cluster coherence is strong. The CVD/hypertension/UPF chain (us-cvd-mortality-bifurcatinghypertension-shiftedupf-driven-chronic-inflammationultra-processed-food-consumption) forms a tight causal loop that the reweave correctly captures. The regulatory AI cluster (regulatory-deregulationregulatory-rollbackregulatory-vacuumuk-eu-us-convergence) is similarly well-connected.

Cross-domain connection worth noting: The grand-strategy claim about AI weapons governance now links to ai-alignment/ottawa-model-treaty-process... — this is exactly the kind of cross-domain edge that adds value. The target claim exists and the supports direction is correct.

The reweave_edges audit trail format (target|relationship|date) is a useful provenance mechanism. Consistent across all 30 files.


Summary of counts

  • Clean edges (no issues): 22 files
  • Entity-as-supports-target (wrong relationship type): 5 edges across 5 files
  • Duplicate supports entries: 3 files

Verdict: request_changes
Model: opus
Summary: Automated reweave adds useful graph edges across health, space-development, and grand-strategy domains. 22 of 30 files are clean. 5 files incorrectly use supports to point at entities (companies, committees, clinical trials) rather than claims — these need relationship type correction. 3 files introduce duplicate supports entries in mixed formats. Fix the 8 issues and this is ready to merge.

# Leo Cross-Domain Review — PR #2472 **Branch:** `reweave/2026-04-07` **Scope:** 30 files — frontmatter-only edits adding `supports`, `related`, and `reweave_edges` fields to existing claims and entities across health (22), space-development (6), grand-strategy (1), and entities (1). This is an automated reweave pass connecting orphan claims via vector similarity. No claim bodies or titles were changed. No new claims introduced. --- ## Issues requiring changes ### 1. `supports` targets pointing to entities, not claims (3 files) Three space-development claims list `supports: - Aetherflux` — an entity (company), not a claim. The `supports` field semantically means "this claim provides evidence for that claim." A claim cannot "support" a company. - `breakthrough-energy-ventures-investment-in-orbital-solar-infrastructure-signals-sbsp-credibility-as-climate-technology-category.md` - `orbital-data-centers-and-space-based-solar-power-share-identical-infrastructure-requirements-creating-dual-use-revenue-bridge.md` - `space-based-solar-power-and-orbital-data-centers-share-infrastructure-making-odc-the-near-term-revenue-bridge-to-long-term-sbsp.md` **Fix:** These should use `related` (or `mentions`), not `supports`. Or better: link to a *claim* about Aetherflux if one exists, not the entity itself. ### 2. `supports` target is an entity: UK House of Lords (1 file) `uk-eu-us-clinical-ai-regulation-converged-on-adoption-acceleration-q1-2026.md` has: ```yaml supports: - UK House of Lords Science and Technology Committee ``` Same issue — a claim cannot "support" a parliamentary committee. This is a `related` or `source` relationship, not `supports`. ### 3. `supports` target is a research program entity (1 file) `human-in-the-loop clinical AI degrades to worse-than-AI-alone...md` has: ```yaml supports: - NCT07328815 - Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning ``` A claim doesn't "support" a clinical trial. The relationship is reversed — the trial provides evidence *for* the claim, or they are `related`. The `supports` direction is wrong. ### 4. Duplicate supports entries in mixed formats (3 files) Files that previously had dict-style supports entries now also have the same relationship as a plain string, creating duplicates: - `fda-maude-cannot-identify-ai-contributions...md` — has both `{'The clinical AI safety gap is doubly structural': "..."}` and the identical plain-string version - `fda-maude-database-lacks-ai-specific-adverse-event-fields...md` — same duplication - `regulatory-deregulation-occurring-during-active-harm-accumulation...md` — same pattern **Fix:** Deduplicate. Either migrate the old dict format to plain strings (preferred) or don't add the plain-string duplicate. --- ## Observations (not blocking) **Health cluster coherence is strong.** The CVD/hypertension/UPF chain (`us-cvd-mortality-bifurcating` → `hypertension-shifted` → `upf-driven-chronic-inflammation` → `ultra-processed-food-consumption`) forms a tight causal loop that the reweave correctly captures. The regulatory AI cluster (`regulatory-deregulation` → `regulatory-rollback` → `regulatory-vacuum` → `uk-eu-us-convergence`) is similarly well-connected. **Cross-domain connection worth noting:** The grand-strategy claim about AI weapons governance now links to `ai-alignment/ottawa-model-treaty-process...` — this is exactly the kind of cross-domain edge that adds value. The target claim exists and the `supports` direction is correct. **The `reweave_edges` audit trail format** (`target|relationship|date`) is a useful provenance mechanism. Consistent across all 30 files. --- ## Summary of counts - **Clean edges (no issues):** 22 files - **Entity-as-supports-target (wrong relationship type):** 5 edges across 5 files - **Duplicate supports entries:** 3 files --- **Verdict:** request_changes **Model:** opus **Summary:** Automated reweave adds useful graph edges across health, space-development, and grand-strategy domains. 22 of 30 files are clean. 5 files incorrectly use `supports` to point at entities (companies, committees, clinical trials) rather than claims — these need relationship type correction. 3 files introduce duplicate supports entries in mixed formats. Fix the 8 issues and this is ready to merge. <!-- 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*
m3taversal closed this pull request 2026-04-07 03:11:35 +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.

Pull request closed

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