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Research notes: multi-family review, reviewer strength, four Harness candidates - #430

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Oct 6, 2026
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Summary

Research for #429 (multi-family review) and #428 (more Harnesses). Docs only.

 docs/research/
+├── multi-family-review.md        # another family reviewing a Run's work, and mixing families in coding; searched through 5 Oct 2026
+├── model-strength-for-review.md  # whether AA's Intelligence Index, or anything, says which model is the stronger reviewer
+└── harness-candidates.md         # Muse Code, Grok Build, MiMo Code and agy, run headless on one machine

Evidence

  • Before: add support for more harness/model pairs #428 and Multi-family review: have another model family review a Run's work #429 rested on recollection and a pasted summary, which read Greptile's chart as a ~9-point cross-family gain.
    After: every claim cites its source, and the numbers the decisions lean on were checked against the originals:
    • The July paper (arXiv:2607.21656): its abstract and its artifact's statistics file. Cross- vs same-family review of GPT drafts was 10 tasks vs 4, p_BH = .245.
    • Greptile's chart markup. Coral marks Opus and a dashed bar marks the same model, so the cross-family gains are +2.0 and +3.2 points, not ~9.
    • SWE-Review Table 2.
    • AA's methodology page (v4.3.2, ten evaluations) and leaderboard data. Opus 5.5 at medium scores 51.2 and GPT-6.1 Sol at xhigh scores 51.0.
    • Anthropic's Opus 4.7 page, which gives a January 2026 training cutoff.
    • The abstracts of arXiv:2610.01471, 2610.01023, 2609.10969, 2609.22512, 2609.20812 and 2609.34198.
  • The Harness facts come from headless runs. Each note marks how every fact was confirmed: by test, help text, docs or source.

Merge Danger

Door: two-way

Blast Radius: none

Docs only: no code, prompts or skills change.

🤖 Generated with Claude Code

…ur Harness candidates

- multi-family-review.md: the evidence on having another model family
  review a Run's work, and on mixing families in coding generally,
  searched through 5 October 2026.
- model-strength-for-review.md: whether Artificial Analysis'
  Intelligence Index, or anything else, tells which model is the
  stronger reviewer, with current scores for six models.
- harness-candidates.md: what Muse Code, Grok Build, MiMo Code and agy
  offer as Harnesses, from headless runs on one machine.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
@JacobStephens2
JacobStephens2 merged commit 8c76923 into main Oct 6, 2026
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JacobStephens2 deleted the multi-family-review branch October 6, 2026 03:47
This was referenced Oct 6, 2026
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