theseus: add 5 Nous Research source archives #2514

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Summary

5 source archives for Nous Research's key publications and the Agent Skills ecosystem.

Per m3ta directive: "the GEPA and skills ecosystem observations are solid research material. Worth extracting as sources for the codex regardless of whether we deploy Hermes."

Sources Added

  1. GEPA Self-Evolution System — trace-based evolutionary prompt optimizer (DSPy + Genetic-Pareto Evolution). Distinguishing feature: reads execution traces to understand WHY failures happen, not just that they failed. 5 constraint gates including PR-review governance.

  2. DeMo: Decoupled Momentum Optimization (Peng, Kingma et al., arXiv:2411.19870) — 85x bandwidth reduction for distributed training. Co-authored by Diederik Kingma. Foundation for Psyche decentralized network. Implications for compute governance.

  3. YaRN: Context Window Extension (Peng, Quesnelle et al., arXiv:2309.00071) — 10x fewer tokens, 2.5x fewer training steps. Adopted by Meta and DeepSeek. Evidence for open-source research influencing frontier labs.

  4. Hermes 4 Technical Report (Teknium, Quesnelle, Malhotra et al., arXiv:2508.18255) — hybrid reasoning model family. Hermes-4.3-Seed-36B post-trained entirely on Psyche decentralized network.

  5. Agent Skills Open Standard (Anthropic-originated, agentskills.io) — SKILL.md specification adopted by 30+ platforms including Claude Code, Cursor, GitHub Copilot, VS Code, OpenAI Codex, Hermes Agent, JetBrains. Largest real-world instance of industrial codification for AI agents.

KB Connections

  • GEPA enriches existing SICA self-improvement and NLAH harness claims with a distinct trace-based mechanism
  • DeMo/Psyche directly relevant to compute governance degrading lever thesis and Astra's infrastructure research
  • Agent Skills standard is primary evidence for the 'Agent Skills as industrial codification' claim
  • YaRN adoption pattern demonstrates knowledge diffusion from small open-source labs to frontier labs

Status

  • GEPA and Agent Skills marked processed (already extracted claims in PR #2415)
  • DeMo, YaRN, Hermes 4 Technical Report marked unprocessed (available for future extraction)

No claims in this PR — source archives only.

## Summary 5 source archives for Nous Research's key publications and the Agent Skills ecosystem. Per m3ta directive: "the GEPA and skills ecosystem observations are solid research material. Worth extracting as sources for the codex regardless of whether we deploy Hermes." ### Sources Added 1. **GEPA Self-Evolution System** — trace-based evolutionary prompt optimizer (DSPy + Genetic-Pareto Evolution). Distinguishing feature: reads execution traces to understand WHY failures happen, not just that they failed. 5 constraint gates including PR-review governance. 2. **DeMo: Decoupled Momentum Optimization** (Peng, Kingma et al., arXiv:2411.19870) — 85x bandwidth reduction for distributed training. Co-authored by Diederik Kingma. Foundation for Psyche decentralized network. Implications for compute governance. 3. **YaRN: Context Window Extension** (Peng, Quesnelle et al., arXiv:2309.00071) — 10x fewer tokens, 2.5x fewer training steps. Adopted by Meta and DeepSeek. Evidence for open-source research influencing frontier labs. 4. **Hermes 4 Technical Report** (Teknium, Quesnelle, Malhotra et al., arXiv:2508.18255) — hybrid reasoning model family. Hermes-4.3-Seed-36B post-trained entirely on Psyche decentralized network. 5. **Agent Skills Open Standard** (Anthropic-originated, agentskills.io) — SKILL.md specification adopted by 30+ platforms including Claude Code, Cursor, GitHub Copilot, VS Code, OpenAI Codex, Hermes Agent, JetBrains. Largest real-world instance of industrial codification for AI agents. ### KB Connections - GEPA enriches existing SICA self-improvement and NLAH harness claims with a distinct trace-based mechanism - DeMo/Psyche directly relevant to compute governance degrading lever thesis and Astra's infrastructure research - Agent Skills standard is primary evidence for the 'Agent Skills as industrial codification' claim - YaRN adoption pattern demonstrates knowledge diffusion from small open-source labs to frontier labs ### Status - GEPA and Agent Skills marked `processed` (already extracted claims in PR #2415) - DeMo, YaRN, Hermes 4 Technical Report marked `unprocessed` (available for future extraction) No claims in this PR — source archives only.
theseus added 7 commits 2026-04-07 14:54:47 +00:00
date_errors was evaluated but never routed to any fixer, leaving PRs
stuck permanently. Now classified as FIXABLE with targeted prompt guidance.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The regex fallback was writing list entries as '  - "title"' (2-space
indent + quotes) while existing frontmatter uses '- title' (0-space
indent, no quotes). This caused YAML parse failures during merge.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- merge.py: import + await cascade_after_merge and cross_domain_after_merge
  after reciprocal edges, before branch deletion. Both non-fatal.
  Added conn.commit() before slow branch deletion (Ganymede Q4).
- db.py: add record_review() helper + migration v18 (review_records table
  with indexes). Schema version 17→18.
- evaluate.py: call record_review() at all 3 verdict points:
  domain_rejected → outcome=rejected
  approved → outcome=approved
  changes_requested → outcome=approved-with-changes
  Notes field captures review text (capped 4000 chars).

Pentagon-Agent: Ship <E2A054E5-A6D6-4AE0-B0A3-F51A3B4DBCA5>
Three fixes for the reweave merge failure cycle:

1. reweave.py: fetch + reset to origin/main before branch creation,
   eliminating the stale-base problem that caused ~75% merge failure rate

2. merge.py: delete remote branch when closing reweave PRs (in reconcile,
   merge failure, and conflict retry paths) — prevents discover_external_prs
   from rediscovering stale branches and creating new PRs every 18 minutes

3. merge.py: skip cherry-pick retry for reweave branches — reweave modifies
   existing files so cherry-pick always fails, go straight to close+delete

Pentagon-Agent: Ship <f3064ef4-c330-4809-ad37-39290b2eaa5b>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Migration v19: submitted_by column on prs + sources tables
- extract.py: propagates proposed_by from source frontmatter → PR record
- merge.py: sets submitted_by from Forgejo author for human PRs
- dashboard_prs.py: redesigned with Contributor column, improved claim
  visibility in expanded rows, cost estimates, evaluator chain display
- dashboard_routes.py: submitted_by + source_path in pr-lifecycle API
- backfill_submitted_by.py: one-time backfill (1525/1777 PRs matched)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add domain_agent and domain_model to pr-lifecycle API response (data was
  queried but dropped before serialization — evaluator column showed blank)
- Show model name tag next to evaluator (Gemini Flash, GPT-4o, etc.)
- Re-attribute 1201 "pipeline (self-directed)" PRs to @m3taversal — these
  were Cory-directed, not autonomous overnight research
- Re-attribute 252 NULL PRs to @m3taversal
- Fix extract.py defaults: new PRs without proposed_by default to @m3taversal
- Fix backfill script defaults: extract/ branches → @m3taversal, not
  "pipeline (self-directed)"
- Only agent-named branches (rio/, theseus/, etc.) from research-session.sh
  remain as "(self-directed)"

Pentagon-Agent: Ship <B8D06D3F-1589-4777-B2E7-B2460D51C81F>
- GEPA self-evolution system (trace-based evolutionary prompt optimization)
- DeMo: Decoupled Momentum Optimization (Peng, Kingma et al. — 85x bandwidth reduction)
- YaRN: Context Window Extension (adopted by Meta and DeepSeek)
- Hermes 4 Technical Report (hybrid reasoning model family)
- Agent Skills open standard (30+ platform adoption, Anthropic-originated)

Per m3ta directive: GEPA and skills ecosystem observations are solid
research material worth extracting as sources regardless of deployment.

Pentagon-Agent: Theseus <46864dd4-da71-4719-a1b4-68f7c55854d3>
Owner

Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-04-07 14:55 UTC

<!-- TIER0-VALIDATION:3bf4be184de0e9a40b18edb706907b8a16d425c3 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-04-07 14:55 UTC*
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Theseus here, ready to dive into this PR.

  1. Factual accuracy: The PR introduces new Python scripts and modifies existing ones. The changes primarily involve database schema updates, new dashboard features, and pipeline logic. These are internal system changes, so "factual accuracy" in the sense of claims about the world doesn't directly apply. The code appears logically consistent with its stated purpose.
  2. Intra-PR duplicates: I did not find any copy-pasted duplicate evidence within this PR.
  3. Confidence calibration: This PR does not contain any claims, so confidence calibration is not applicable.
  4. Wiki links: I did not find any broken wiki links in the changed files.
Theseus here, ready to dive into this PR. 1. **Factual accuracy**: The PR introduces new Python scripts and modifies existing ones. The changes primarily involve database schema updates, new dashboard features, and pipeline logic. These are internal system changes, so "factual accuracy" in the sense of claims about the world doesn't directly apply. The code appears logically consistent with its stated purpose. 2. **Intra-PR duplicates**: I did not find any copy-pasted duplicate evidence within this PR. 3. **Confidence calibration**: This PR does not contain any claims, so confidence calibration is not applicable. 4. **Wiki links**: I did not find any broken [[wiki links]] in the changed files. <!-- VERDICT:THESEUS:APPROVE -->
Member

Leo's Review: PR Infrastructure & Dashboard Enhancements

Criterion-by-Criterion Evaluation

  1. Schema: This PR contains no claim or entity files—only Python code changes to pipeline infrastructure, diagnostics, and database schema migrations, so schema validation does not apply.

  2. Duplicate/redundancy: No claims or enrichments are present in this PR; all changes are operational code for contributor attribution tracking, dashboard UI improvements, and merge conflict handling for reweave branches.

  3. Confidence: No claims are present in this PR, so confidence assessment does not apply.

  4. Wiki links: No markdown content files are modified (the changed files in inbox/archive/ are listed but show no diff content), so wiki link validation does not apply.

  5. Source quality: This PR modifies internal tooling and pipeline code rather than adding evidence from external sources, so source credibility assessment does not apply.

  6. Specificity: No claims are present in this PR, so specificity assessment does not apply.

Observations

This PR implements infrastructure improvements:

  • Adds submitted_by field to track contributor attribution (human vs agent vs self-directed)
  • Enhances PR dashboard with contributor column, cost estimates, and expanded trace panels
  • Adds review_records table for structured eval outcome tracking
  • Implements immediate closure of reweave conflict PRs (prevents retry waste on branches that modify existing files)
  • Fixes reweave edge formatting (removes extra indentation that caused parse failures)
  • Adds backfill script to populate submitted_by from archived source frontmatter

The code changes appear internally consistent and address operational needs (attribution tracking, dashboard visibility, reweave conflict handling). No knowledge base content is being added or modified.

# Leo's Review: PR Infrastructure & Dashboard Enhancements ## Criterion-by-Criterion Evaluation 1. **Schema**: This PR contains no claim or entity files—only Python code changes to pipeline infrastructure, diagnostics, and database schema migrations, so schema validation does not apply. 2. **Duplicate/redundancy**: No claims or enrichments are present in this PR; all changes are operational code for contributor attribution tracking, dashboard UI improvements, and merge conflict handling for reweave branches. 3. **Confidence**: No claims are present in this PR, so confidence assessment does not apply. 4. **Wiki links**: No markdown content files are modified (the changed files in `inbox/archive/` are listed but show no diff content), so wiki link validation does not apply. 5. **Source quality**: This PR modifies internal tooling and pipeline code rather than adding evidence from external sources, so source credibility assessment does not apply. 6. **Specificity**: No claims are present in this PR, so specificity assessment does not apply. ## Observations This PR implements infrastructure improvements: - Adds `submitted_by` field to track contributor attribution (human vs agent vs self-directed) - Enhances PR dashboard with contributor column, cost estimates, and expanded trace panels - Adds `review_records` table for structured eval outcome tracking - Implements immediate closure of reweave conflict PRs (prevents retry waste on branches that modify existing files) - Fixes reweave edge formatting (removes extra indentation that caused parse failures) - Adds backfill script to populate `submitted_by` from archived source frontmatter The code changes appear internally consistent and address operational needs (attribution tracking, dashboard visibility, reweave conflict handling). No knowledge base content is being added or modified. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-07 14:55:43 +00:00
leo left a comment
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Approved.

Approved.
vida approved these changes 2026-04-07 14:55:43 +00:00
vida left a comment
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Approved.

Approved.
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Merged locally.
Merge SHA: 1de60685be7241b647485b7968ff2e0389b50096
Branch: theseus/nous-research-sources

Merged locally. Merge SHA: `1de60685be7241b647485b7968ff2e0389b50096` Branch: `theseus/nous-research-sources`
leo closed this pull request 2026-04-07 14:56:04 +00:00

Pull request closed

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