reweave: connect 22 orphan claims #2577

Closed
m3taversal wants to merge 0 commits from reweave/2026-04-09 into main
Owner

Orphan Reweave

Connected 22 orphan claims to the knowledge graph via vector similarity (threshold 0.7) + Haiku edge classification.

Edges Added

  • Frontier AI labs allocate 6-15% of research headco → [supports] → Anthropic's internal resource allocation shows 6-8 (score=0.841)
  • Anthropics RSP rollback under commercial pressure → [supports] → Anthropic's internal resource allocation shows 6-8 (score=0.799)
  • voluntary safety pledges cannot survive competitiv → [related] → Anthropic's internal resource allocation shows 6-8 (score=0.792)
  • Anthropic's internal resource allocation shows 6-8 → [related] → Frontier AI labs allocate 6-15% of research headco (score=0.841)
  • Anthropics RSP rollback under commercial pressure → [related] → Frontier AI labs allocate 6-15% of research headco (score=0.781)
  • the alignment tax creates a structural race to the → [related] → Frontier AI labs allocate 6-15% of research headco (score=0.766)
  • Situationally aware models do not systematically g → [related] → High-capability models under inference-time monito (score=0.723)
  • Inference-time safety monitoring can recover align → [related] → Inference-time compute creates non-monotonic safet (score=0.728)
  • Inference-time compute creates non-monotonic safet → [related] → Inference-time safety monitoring can recover align (score=0.728)
  • International humanitarian law and AI alignment re → [supports] → Legal scholars and AI alignment researchers indepe (score=0.839)
  • Autonomous weapons systems capable of militarily e → [supports] → Legal scholars and AI alignment researchers indepe (score=0.808)
  • Specification gaming scales with optimizer capabil → [supports] → AI systems demonstrate meta-level specification ga (score=0.861)
  • AI models distinguish testing from deployment envi → [supports] → AI systems demonstrate meta-level specification ga (score=0.717)
  • AI models can covertly sandbag capability evaluati → [related] → Situationally aware models do not systematically g (score=0.732)
  • High-capability models under inference-time monito → [related] → Situationally aware models do not systematically g (score=0.723)
  • AI systems demonstrate meta-level specification ga → [supports] → Specification gaming scales with optimizer capabil (score=0.861)
  • FDA's MAUDE database systematically under-detects → [supports] → The clinical AI safety gap is doubly structural: F (score=0.845)
  • FDA MAUDE reports lack the structural capacity to → [supports] → The clinical AI safety gap is doubly structural: F (score=0.843)
  • Clinical AI deregulation is occurring during activ → [supports] → The clinical AI safety gap is doubly structural: F (score=0.742)
  • Long-term US cardiovascular mortality gains are sl → [related] → CVD mortality stagnation after 2010 reversed a dec (score=0.713)
  • enhanced aca premium tax credit expiration creates → [supports] → Double coverage compression occurs when Medicaid w (score=0.786)
  • Double coverage compression occurs when Medicaid w → [supports] → enhanced aca premium tax credit expiration creates (score=0.786)
  • GLP-1 receptor agonists require continuous treatme → [related] → GLP-1 receptor agonists produce nutritional defici (score=0.708)
  • glp 1 persistence drops to 15 percent at two years → [related] → GLP-1 receptor agonists require continuous treatme (score=0.752)
  • GLP-1 long-term persistence remains structurally l → [related] → GLP-1 receptor agonists require continuous treatme (score=0.744)
  • GLP-1 receptor agonists show 20% individual-level → [related] → GLP-1 receptor agonists require continuous treatme (score=0.737)
  • GLP-1 year-one persistence for obesity nearly doub → [supports] → GLP-1 long-term persistence remains structurally l (score=0.868)
  • glp 1 persistence drops to 15 percent at two years → [supports] → GLP-1 long-term persistence remains structurally l (score=0.823)
  • semaglutide achieves 47 percent one year persisten → [related] → GLP-1 long-term persistence remains structurally l (score=0.795)
  • GLP-1 long-term persistence remains structurally l → [related] → GLP-1 year-one persistence for obesity nearly doub (score=0.868)

Review Guide

  • Each edge has a # reweave:YYYY-MM-DD comment — strip after review
  • reweave_edges field tracks automated edges for tooling (graph_expand weights them 0.75x)
  • Upgrade relatedsupports/challenges where you have better judgment
  • Delete any edges that don't make sense

Pentagon-Agent: Epimetheus

## Orphan Reweave Connected **22** orphan claims to the knowledge graph via vector similarity (threshold 0.7) + Haiku edge classification. ### Edges Added - `Frontier AI labs allocate 6-15% of research headco` → [supports] → `Anthropic's internal resource allocation shows 6-8` (score=0.841) - `Anthropics RSP rollback under commercial pressure ` → [supports] → `Anthropic's internal resource allocation shows 6-8` (score=0.799) - `voluntary safety pledges cannot survive competitiv` → [related] → `Anthropic's internal resource allocation shows 6-8` (score=0.792) - `Anthropic's internal resource allocation shows 6-8` → [related] → `Frontier AI labs allocate 6-15% of research headco` (score=0.841) - `Anthropics RSP rollback under commercial pressure ` → [related] → `Frontier AI labs allocate 6-15% of research headco` (score=0.781) - `the alignment tax creates a structural race to the` → [related] → `Frontier AI labs allocate 6-15% of research headco` (score=0.766) - `Situationally aware models do not systematically g` → [related] → `High-capability models under inference-time monito` (score=0.723) - `Inference-time safety monitoring can recover align` → [related] → `Inference-time compute creates non-monotonic safet` (score=0.728) - `Inference-time compute creates non-monotonic safet` → [related] → `Inference-time safety monitoring can recover align` (score=0.728) - `International humanitarian law and AI alignment re` → [supports] → `Legal scholars and AI alignment researchers indepe` (score=0.839) - `Autonomous weapons systems capable of militarily e` → [supports] → `Legal scholars and AI alignment researchers indepe` (score=0.808) - `Specification gaming scales with optimizer capabil` → [supports] → `AI systems demonstrate meta-level specification ga` (score=0.861) - `AI models distinguish testing from deployment envi` → [supports] → `AI systems demonstrate meta-level specification ga` (score=0.717) - `AI models can covertly sandbag capability evaluati` → [related] → `Situationally aware models do not systematically g` (score=0.732) - `High-capability models under inference-time monito` → [related] → `Situationally aware models do not systematically g` (score=0.723) - `AI systems demonstrate meta-level specification ga` → [supports] → `Specification gaming scales with optimizer capabil` (score=0.861) - `FDA's MAUDE database systematically under-detects ` → [supports] → `The clinical AI safety gap is doubly structural: F` (score=0.845) - `FDA MAUDE reports lack the structural capacity to ` → [supports] → `The clinical AI safety gap is doubly structural: F` (score=0.843) - `Clinical AI deregulation is occurring during activ` → [supports] → `The clinical AI safety gap is doubly structural: F` (score=0.742) - `Long-term US cardiovascular mortality gains are sl` → [related] → `CVD mortality stagnation after 2010 reversed a dec` (score=0.713) - `enhanced aca premium tax credit expiration creates` → [supports] → `Double coverage compression occurs when Medicaid w` (score=0.786) - `Double coverage compression occurs when Medicaid w` → [supports] → `enhanced aca premium tax credit expiration creates` (score=0.786) - `GLP-1 receptor agonists require continuous treatme` → [related] → `GLP-1 receptor agonists produce nutritional defici` (score=0.708) - `glp 1 persistence drops to 15 percent at two years` → [related] → `GLP-1 receptor agonists require continuous treatme` (score=0.752) - `GLP-1 long-term persistence remains structurally l` → [related] → `GLP-1 receptor agonists require continuous treatme` (score=0.744) - `GLP-1 receptor agonists show 20% individual-level ` → [related] → `GLP-1 receptor agonists require continuous treatme` (score=0.737) - `GLP-1 year-one persistence for obesity nearly doub` → [supports] → `GLP-1 long-term persistence remains structurally l` (score=0.868) - `glp 1 persistence drops to 15 percent at two years` → [supports] → `GLP-1 long-term persistence remains structurally l` (score=0.823) - `semaglutide achieves 47 percent one year persisten` → [related] → `GLP-1 long-term persistence remains structurally l` (score=0.795) - `GLP-1 long-term persistence remains structurally l` → [related] → `GLP-1 year-one persistence for obesity nearly doub` (score=0.868) ### Review Guide - Each edge has a `# reweave:YYYY-MM-DD` comment — strip after review - `reweave_edges` field tracks automated edges for tooling (graph_expand weights them 0.75x) - Upgrade `related` → `supports`/`challenges` where you have better judgment - Delete any edges that don't make sense Pentagon-Agent: Epimetheus
Author
Owner

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._
Author
Owner

Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-04-09 01:10 UTC

<!-- TIER0-VALIDATION:65e1df614177b405d713e2201606e5675335d48e --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-04-09 01:10 UTC*
Author
Owner

Auto-approved: reweave structural update (frontmatter edges only). Leo reviews manually.

Auto-approved: reweave structural update (frontmatter edges only). Leo reviews manually.
Author
Owner

Merged locally.
Merge SHA: 987152504511f98015425b0eb5b9d17c4c28da34
Branch: reweave/2026-04-09

Merged locally. Merge SHA: `987152504511f98015425b0eb5b9d17c4c28da34` Branch: `reweave/2026-04-09`
leo closed this pull request 2026-04-09 01:11:11 +00:00
Some checks failed
Sync Graph Data to teleo-app / sync (push) Waiting to run
Mirror PR to Forgejo / mirror (pull_request) Has been cancelled

Pull request closed

Sign in to join this conversation.
No description provided.