{
  "title": "Causal Self-Diagnosis with Noisy Tests: Observation Laws, Irreversible Access, and Task Recovery",
  "source_version": "0.3",
  "source_date": "2026-11-05",
  "site_reading_copy": 1,
  "status": "Website reading copy; publication authorized 2026-11-12 after targeted internal final-source review; not external peer review",
  "byline": "Research development draft prepared for Brian Theory / AI-assisted derivation, computation, and independent internal review",
  "submission_authorship": "undecided in the original; preserved",
  "pdf_pages": 38,
  "pdf_sha256": "ec772d9218cdfa19cf994f37373c585b59a3b0be82be55dbdd396182d2f97303",
  "main_tex_sha256": "375c863a1e39f99efcadd262e51e387c903cb08c9c7a87862dac70aa4b080538",
  "source_zip_sha256": "3be7a250e8d9a163378502c7d001560643e25015fcfe3830a8058db0c850bc66",
  "source_manifest": {
    "causal_self_diagnosis.tex": "375c863a1e39f99efcadd262e51e387c903cb08c9c7a87862dac70aa4b080538",
    "01_foundations.tex": "3e25e10b5e114d890ad88f7f16dc341ee5ad94673a808b8b8ef51e681f1ede9e",
    "02_cumulative.tex": "680a292fe0070e38264ed7973c0db8ebef5e2b4ff36ed41dabf2686908662e3e",
    "11_law_oracle.tex": "35f0a0c81a8bc6b03356d184e3981a34fea5739a5822835c3d41ab1d06a564f4",
    "03_causal.tex": "5a217862d54c0eb26cd276c881f6cffba83d49cd3a7456a42c66eed6cdc8eaa6",
    "04_experiments.tex": "f7e293713eb730d08b744e51461d49db4f743316a30e292a2bf3f8db6b465081",
    "06_physical.tex": "21f6dc95c932bd36997985c6731fe9fc298c987dfd2c2495aee2565d40cb1930",
    "12_task_recovery.tex": "9824366736bb9a7062379edf507a0782e03ffaf48bab8a881df4a810968559cd",
    "07_robustness.tex": "3f8d7335d7d1b4f03e4fc4bc5b32a2b51a740673b3fd8043e666f2277e4a3e4e",
    "08_motor.tex": "a2bb6ea14bab7e46dca8cbccbbde78e1dd242a842a1f57c4dd87c77f55c65992",
    "13_stateful_experiment.tex": "76f2d7c0928dc5022de9849997172efa6cbce5bf524c28876d67e091c4ba6723",
    "16_conclusions.tex": "05827cc8b482dbf8512876446fb17936fa7bb23cf3ffdd9fd0cc372ebef4f9bc",
    "05_appendices.tex": "e064f80b4d2efc259235d748c9b7e846551e3ed4bf9e4b2045d0ee2beb16cf30",
    "15_history.tex": "fdedc4b55b1c0aa430342f0b99f1ac78e8a64dac811cb2ab2784f38ece2d22bf",
    "14_review_ledger.tex": "95148cafc92711b4e169a1ea6b8f9d7fd7b7e89ae60b69f3d6b4f2d9d3804c70",
    "references.bib": "a2c2dc356c8b5e4fb20fbdc1f7e741e8afdc50dfaf8bda5f085278798d7d8ef1",
    "figures/cumulative_orders.pdf": "4c669b53f175d3edc7c12a83d82280da480df08b2f2ab8e78466b754fd570cd1",
    "figures/noise_and_gate.pdf": "f518b1d1434d8e2fddea015351ff3e52da40a99111f4e632254218a755881736",
    "figures/decision_frontier.pdf": "b08979de2c6333a9617fbfb0225d5445c79a52994dcd8f28b6748f8f78795438"
  },
  "source_files": 19,
  "source_identity": "Exact members under review_v03/paper in frozen v0.3 research package",
  "formats": [
    "unchanged PDF",
    "exact multi-file TeX source",
    "extracted text with limitations"
  ],
  "html_full_manuscript": false,
  "family": "causal-diagnosis-and-repair",
  "related_public_manuscripts": [
    "diagnosing-while-repairing",
    "reflective-self-models",
    "acquirable-predictive-models"
  ],
  "review_status": "Targeted internal AI final-source review passed 2026-11-12 under declared assumptions; not external peer review, formal verification or priority clearance",
  "simulation_status": "Inherited saved studies; no new simulation or hardware run",
  "targeted_review": {
    "date": "2026-11-12",
    "verdict": "No blocking error found in Sections 5–6 and 10–11, with supporting Sections 3–4 and 12",
    "pdf_sha256": "ec772d9218cdfa19cf994f37373c585b59a3b0be82be55dbdd396182d2f97303",
    "main_tex_sha256": "375c863a1e39f99efcadd262e51e387c903cb08c9c7a87862dac70aa4b080538",
    "limitations": "Not a full proof audit, historical-claim recertification, independent external review, priority clearance, hardware validation or new simulation."
  },
  "website_release_date": "2026-11-12",
  "packaging_note": "Exact source ZIP retains dated preparation README. Current website status is recorded here; manuscript and source bytes are unchanged."
}