{
  "id": "inf_6c017e0e",
  "version": "1.0",
  "timestamp": "2026-09-29T22:19:13.513598+00:00",
  "source": "claude_session",
  "case_id": null,
  "raw_text": "An outside-view experiment was run in which a separate model (a Gemini reception specimen) read a cleaned inference and extracted facts from it. The revealing result was that the instrument faithfully extracted a superseded lexical \"tension score\" formula as a clean, well-quoted fact \u2014 the dead formula had outlived the code that used it and was still propagating through documentation into every bundle. This exposed a core weakness: an extraction pipeline will confidently record a retired claim as current truth unless something external checks it, which motivated building an adjudication layer that compares extracted claims against a named baseline outside the text itself.",
  "left_keywords": [
    "outside_view_experiment",
    "cross_model_extraction",
    "faithful_extraction",
    "extraction_overconfidence",
    "dead_formula_propagation",
    "superseded_claim_persistence",
    "documentation_residue",
    "stale_truth_capture",
    "adjudication_layer",
    "external_baseline_comparison",
    "out_of_text_verification",
    "claim_currency"
  ],
  "right_keywords": [],
  "clumps": {
    "experimental_method": [
      "outside_view_experiment",
      "cross_model_extraction"
    ],
    "extraction_fidelity": [
      "faithful_extraction",
      "extraction_overconfidence",
      "stale_truth_capture"
    ],
    "documentation_residue": [
      "dead_formula_propagation",
      "superseded_claim_persistence",
      "documentation_residue"
    ],
    "adjudication_response": [
      "adjudication_layer",
      "external_baseline_comparison",
      "out_of_text_verification",
      "claim_currency"
    ]
  },
  "category_paths": [
    "external_baseline_comparison/adjudication_layer",
    "external_baseline_comparison/claim_currency",
    "external_baseline_comparison/cross_model_extraction",
    "external_baseline_comparison/dead_formula_propagation",
    "external_baseline_comparison/documentation_residue",
    "external_baseline_comparison/extraction_overconfidence",
    "external_baseline_comparison/faithful_extraction",
    "external_baseline_comparison/out_of_text_verification",
    "external_baseline_comparison/outside_view_experiment",
    "external_baseline_comparison/stale_truth_capture",
    "external_baseline_comparison/superseded_claim_persistence"
  ],
  "tension_score": null,
  "guardrail_actions": {},
  "left_pass": {
    "_model": "claude-sonnet-4-6",
    "_operator": "vivify.py"
  }
}