atomic-learning-graph/data/graph.run.json at main · BeauBoorman/atomic-learning-graph · GitHub

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{
  "model": "gpt-5.6-sol",
  "requestedModel": "gpt-5.6-sol",
  "promptVersion": "atomizer-v7-moonshot-beginner-teacher",
  "analogyPromptVersion": "atomizer-v2-analogies-six-passions",
  "strictStructuredOutputs": true,
  "manifestSha256": "02498e4541c214d5f75d7e8e3f41531491e4c0614b11e1eb003faa3d35566a20",
  "graphSha256": "bbcf8b33c8a03fac47e20387dc50b36718adf7ea16409821c9cb3f0d5ec249fb",
  "usageTokens": {
    "input": 30410,
    "output": 10245,
    "total": 40655
  },
  "costUsd": 0.4594,
  "costPerConcept": 0.045939999999999995,
  "convergence": [
    {
      "attempt": 1,
      "issues": []
    }
  ],
  "humanPatches": [
    {
      "field": "data/graph.json: concepts[self-attention].lesson.steps[2]",
      "commit": "f65a0fb",
      "date": "2026-07-20",
      "what": "Worked example for self-attention step 3 was hand-edited: the original example averaged all token values uniformly ((2+4+6)/3 = 4) and taught average pooling, not attention. It was rewritten to use position-dependent attention weights (0.5/0.3/0.2), showing that each token attends differently to others — the defining property of attention.",
      "scopeTouched": ["lesson.text", "lesson.steps[2].analogies"],
      "scopeNotTouched": [
        "concept.provenance.quotedText",
        "concept.lesson.steps[*].citation",
        "concept.id",
        "concept.title",
        "edges",
        "any other concept"
      ],
      "hashRestamped": "graphSha256 in this file was recomputed to match the patched graph bytes; data/course.receipt.json.verification.graphHash was regenerated by pnpm emit:receipt to stay in lockstep. No citation, source, or structural invariant was altered.",
      "disclosure": "This patch is also documented in PROVENANCE-PATCHES.md at the repo root. The graph remains byte-reproducible ONLY through pnpm atomize; this hand-patch is the single disclosed exception to that rule on record.",
      "reviewTrail": "Found by plans/reports/opencode-v7-quality-review.md; remediation track plans/reports/remediation-260720-2301-integrity-and-docs.md."
    }
  ]
}