{
  "status": "PASS",
  "scope": "Final synthesis of the bounded visual research program; local artifacts only",
  "base_commit": "fa3364e30686bdcd49ea1b21a891fbc14a057614",
  "checks": {
    "test_runs": [
      {
        "directory": "research/visual-inquiry",
        "chunk_id": "dff029",
        "wall_time_seconds": 0.775721167,
        "exit_code": 0,
        "original_token_count": 31,
        "output": ".........................\n----------------------------------------------------------------------\nRan 25 tests in 0.857s\n\nOK\n"
      },
      {
        "directory": "research/observation-horizon",
        "chunk_id": "8e2d36",
        "wall_time_seconds": 2.583e-06,
        "exit_code": 0,
        "original_token_count": 27,
        "output": "........\n----------------------------------------------------------------------\nRan 8 tests in 0.000s\n\nOK\n"
      },
      {
        "directory": "research/visual-inquiry/noisy-observation",
        "chunk_id": "198ff2",
        "wall_time_seconds": 0.07493675,
        "exit_code": 0,
        "original_token_count": 29,
        "output": "..............\n----------------------------------------------------------------------\nRan 14 tests in 0.187s\n\nOK\n"
      },
      {
        "directory": "research/visual-inquiry/learned-effects",
        "chunk_id": "e17c82",
        "wall_time_seconds": 0.295725916,
        "exit_code": 0,
        "original_token_count": 28,
        "output": "............\n----------------------------------------------------------------------\nRan 12 tests in 0.402s\n\nOK\n"
      },
      {
        "directory": "research/visual-inquiry/selection-dependence",
        "chunk_id": "5b7b37",
        "wall_time_seconds": 0.388004959,
        "exit_code": 0,
        "original_token_count": 29,
        "output": "...............\n----------------------------------------------------------------------\nRan 15 tests in 0.496s\n\nOK\n"
      },
      {
        "directory": "corpus",
        "chunk_id": "22fb2d",
        "wall_time_seconds": 0.208866333,
        "exit_code": 0,
        "original_token_count": 27,
        "output": ".......\n----------------------------------------------------------------------\nRan 7 tests in 0.318s\n\nOK\n"
      }
    ],
    "model_tests_passed": 74,
    "corpus_tests_passed": 7,
    "make_check": {
      "chunk_id": "277226",
      "wall_time_seconds": 0.048899875,
      "exit_code": 0,
      "original_token_count": 108,
      "output": "python3 corpus/check-site.py\nSite integrity check\n============================================================\n============================================================\n\n\u2713 All checks pass.\npython3 book-four/freud-jung/registry/validate.py\n\n0 error(s), 0 warning(s) \u2014 29 units, 206 nodes, 342 edges, 204 mapping records\npython3 book-four/freud-jung/tools/test-contracts.py\n\n0 failure(s), 0 warning(s) \u2014 tooling contracts\n"
    },
    "reader_rebuild": "PASS: final parent HTML is byte-identical on rebuild",
    "browser": {
      "status": "PASS",
      "receipt": "inspection/synthesis-browser.json",
      "widths": [
        1280,
        390
      ],
      "overflowing_descendants": 0,
      "screenshots_inspected": 2,
      "local_links_checked": 94,
      "link_receipt": "inspection/synthesis-links.json"
    },
    "independent_synthesis_review": {
      "status": "ACCEPT after three wording refinements verified by root",
      "scope": "Recognition and conviction, causal handshake, human-presence inference, standard methods and proposed comparison",
      "refinements": [
        "Use loss units for objective combining defects and prevention cost",
        "Distinguish more precise estimates from unbiasedness",
        "Explicitly include living participants in both proposed study conditions"
      ]
    },
    "independent_visual_review": "ACCEPT: three distinct mechanisms and next inquiries remain legible in desktop columns and mobile stack",
    "corpus_rebuild": {
      "status": "PASS",
      "command": "make rebuild-corpus",
      "index_entries": 733,
      "index_words": 1968062,
      "fts_files": 625,
      "fts_chunks": 2535,
      "content_map_files": 536,
      "content_map_words": 1782176,
      "indexed_artifact_sizes_verified": 7,
      "search_smoke_test": "Synthesis title returns synthesis.md and parent reader as top two results",
      "unrelated_baseline_excluded": true,
      "exclusion_method": "Temporary process-local core.excludesFile preserving existing global ignore rules; no persistent edits"
    },
    "final_make_check": "PASS after corpus rebuild: site integrity, 29-unit Freud/Jung registry and tooling contracts"
  },
  "historical_snapshots": {
    "core_precision": "d3f2d71",
    "observation_horizon": "9c156d0",
    "initial_notebook": "9cec928",
    "noisy_observation": "7eff1ec",
    "learned_effects": "91f571c",
    "selection_dependence": "fa3364e"
  },
  "limits": [
    "Finite model verification is not empirical validation of the models in people or deployed systems.",
    "No comparative CE practice study was run.",
    "The recognition and beauty questions remain for Alex; core claims were not silently rewritten.",
    "Targeted browser verification is not a full accessibility or browser-matrix audit.",
    "No push or publication."
  ],
  "sha256": {
    ".claude/context/content-map.md": "ab647e4b652f6e98ba556aae5bfdff5d3f92526434e50fff14a44d28c8a8ca7b",
    "corpus/index.json": "325f667b95501aa6a4b9adae919b2ab7ebbf2740c93631293b16dc5c2a9dee45",
    "research/visual-inquiry/CHECKPOINT.md": "2eb086e7ef1a82a7bacd34e152f3def8b96e9cbc2f062d99e7cce33b2cf75c25",
    "research/visual-inquiry/README.md": "7a75d487d9468f5b68681218e49fd7cb80acf5aa6e686f0a0d3190a05c75da27",
    "research/visual-inquiry/index.html": "68336e6124be81d650de73ae01ae818faa9321c48590c2ec43c53dcffca474a3",
    "research/visual-inquiry/reader.html.in": "e54d49e15453ea85c38cbbe3d1a2715ce2eaef0277d6f9f7f6baaace5a64e1cf",
    "research/visual-inquiry/synthesis.md": "6d7756fc4583135a019ce82dc6ec3e5fd5bf4e684f0275bc159336625a1dc605",
    "research/visual-inquiry/synthesis-ledger.md": "f323ab5cdce2428f4fedb58e3ad244d1402a55834eb9be198bf7ddb6299f0a6c",
    "research/visual-inquiry/inspection/synthesis-browser.json": "cf8e5de2be7fdc70107660a6bd7e66e4602e5967559b38c0ece164d415f4aca1",
    "research/visual-inquiry/inspection/synthesis-links.json": "315caa88edae96a091eb42bfb1ef6b0ff827e18caaaff691ce834dd42b47b6ec",
    "research/visual-inquiry/inspection/synthesis-desktop.png": "9b380183640f1b16e5c9824991821d4339c424ca7bb475eed33c595f4b1dc1db",
    "research/visual-inquiry/inspection/synthesis-mobile.png": "9359701a13055a89f52869af0731fabdb365f092e0cc3616f5264bd5bd10eb0c"
  },
  "recorded_at_utc": "2026-09-07T07:29:54.325778+00:00"
}