{
  "reviewed": "2026-09-13",
  "sources": {
    "core": {
      "archive": "rgds-main.zip",
      "sha256": "5c2a0155165608a5b5bfbb0d4a493ccf79a69f920e77339a48a2f841f5fc5edd",
      "releaseDate": "2026-09-09",
      "repository": "https://github.com/node-and-norm/rgds"
    },
    "profile": {
      "archive": "rgds-ai-governance-main.zip",
      "sha256": "677c20d559c80e85dedde30bba85e498fd521cd62d4b6d9df944bf45711fbd6c",
      "releaseDate": "2026-09-10",
      "repository": "https://github.com/node-and-norm/rgds-ai-governance"
    },
    "study": {
      "retrieved": "2026-09-13",
      "archive_url": "https://codeload.github.com/mj3b/rgds-independent-study/zip/refs/heads/main",
      "sha256": "b8f45a427ce83e2c46124ab8be7cf59d1a6acd2baca9adf5219cd75243625c88",
      "source_site": "https://node-and-norm.github.io/rgds-independent-study/"
    }
  },
  "files": {
    "core/examples__rgds-dec-0004-regulatory-interaction.json": "a61fd887e1c46fea7741cb01ecc84a24f15fd2e4cc8bbb2b46763a32458bcd73",
    "core/docs__ai-checks__ai-evidence-completeness-check.md": "b349f8744c544cd066694765786c1a802a95c9de1c2d0031bc3d8ed31191ecb7",
    "core/examples__rgds-dec-0003-defer-required-evidence.json": "fec689218e91a0b4c7d28b6b404e5ac0cdf45de6f111abe4ac43f51673ca5bf5",
    "core/evaluation__evidence-quality-rubric.md": "09a95c8dffe66d63926e386bcb40612ee30ccc8634e041f212324ccaf64e0c51",
    "core/docs__why-rgds-exists.md": "e336d14daf172a1503db3c921ea8268f2375ada566cce0311e42f71e035cbab5",
    "core/tests__test_validation.py": "731b0dbe89eb5c3533cf871a1d7a80f83a8eeb3920f379624f1b2e0351f6c73e",
    "core/evaluation__requirements-traceability-matrix.md": "0aaeffc4883f2a8708d0fb7dab236f3b7f7606937953f89d70d287e6ab6356c8",
    "core/LICENSE": "1fa42d09b5dbdb7fba762c2e34ec2c126f13af221eb58b09665888bf62fea5b4",
    "core/requirements.txt": "5b2eee01278210626bc26c5fc2e4af27f72181188937910b9afebdbdde1ca136",
    "core/CHANGELOG.md": "be878c6d53489695e6df2e83b7c8410f6b52c65010002cd13bcbb11a6f0becd1",
    "core/docs__releases__v2.0.1.md": "2c78fc0042ee47e4fe2b0cabf539cb25e21d9f14169e0d504f396db3b5c3e640",
    "core/CITATION.cff": "756120ce6d87e6165b6cd400d3d3dcfb7ad9a06a00c943583d137b2655acc62b",
    "core/evaluation__evaluation-plan.md": "f17d2a1585e505ab32eeb5ec02537abde1c0763a7bf5d220a6ca61eff5f4d92d",
    "core/scripts__validate_decision_log.py": "54f4b4c7365f438b6a97b55cc29499c25dafff25a6a7bea287c02750929a1a66",
    "core/docs__ai-assistance-policy.md": "b14c9d5b8a5dea95735143a0cb450e1a454ae1d7ce1a67f230a66cdb71fb8543",
    "core/docs__reviewer-audit-checklist.md": "5bd2faec353613ab2414b878760ac61c1cef7e14fc020266250756dde70630ae",
    "core/docs__governance.md": "9343e1743d12e2b625063ada9f44518c1cbfed3796e4d0d816162fe7991a92d6",
    "core/docs__decision-log.md": "25903b863589f1b36ab2915ef5a68894e80fbbc28164b35808fbda519447a536",
    "core/evaluation__scorecard-template.csv": "a9d17fe245a08ac7ba1878a00903d0d9e7f50ec302d93387039c20dfc5aaf1cf",
    "core/examples__README.md": "4b9625bd99a44ab77b732c8ea8754f9bb9b9adcc9f356af3453b6dcdef68c85d",
    "core/backlog__ind-aligned-backlog.md": "5216525b35290ae6ae82ad52e89a01f0a037d9f627322baa27831afecab556a4",
    "core/NOTICE": "3ea8996cf7d180fa0b1baf4db3e503435f5ed9ee069ddb0c526e4abb2e1ba292",
    "core/README.md": "c0050063b4ea41e9e19b48eb7efce9d3b2d7a1bc33f82c6e633a8f2005d2646c",
    "core/decision-log__decision-log.template.yaml": "9ea654840d92306fddbd8cbd1980374e44c83e187b9b1cabf433a7fa6058789e",
    "core/examples__rgds-dec-0005-ind-conditional-go-author-at-risk.json": "2c9e2d3d53bb46dc92132f75603815d6959738ea34d4f16d0bc337dd4f19ca05",
    "core/docs__citation-provenance.md": "1a5118b0302957bc29843326782d88793555c2f4fb3e97d07cc42eda8bf37346",
    "core/examples__rgds-dec-0001.json": "4f90290a76ddb88808220947409f11b5027dcae3cb5a7975c424756e6ded7f81",
    "core/docs__ai-checks__ind-dependency-summary-0005.md": "d79fcf975c987d1936b7f5657a1c9919bc82c8a99d196e56caa97e87f5a2bc3a",
    "core/docs__ai-checks__ai-regulatory-interaction-consistency-check.md": "af26e4e51900b147940e1ed24c618bbae823395c13f14e8410f68eadba55416b",
    "core/evaluation__README.md": "c55f9d3a02127db373041f75a19c2614aa3d28e5d8c289330c6ef910b0e91383",
    "core/evaluation__decision-gate-extract.md": "ae09eb6178bfcc491c5107d64e3443b4e563e8aafe4a1f14d8502b34327d21d0",
    "core/docs__change-control-log.md": "b70964ce443ffeb0b31dea76af7174e6704521ca5dc952281ee1f575ecbfefe0",
    "core/docs__ai-checks__ind-consistency-scan-0005.md": "e9aabfa73e2ce53b3976f69b55a15c3e731f89e2dee183ba7dae7c5a6c549e0c",
    "core/evaluation__evaluation-note.md": "d17761b91c875d9a241f5ba1eea44ce3d3b37e8aafcb096b7a7f7351103a5e6f",
    "core/decision-log__decision-log.schema.json": "3b4ece91e608fd87625d8d83272086f5e3702fb94aec95341491f6a6019586c1",
    "core/examples__rgds-dec-0006-ai-assisted-conditional-go.json": "ec013d47374a70010ec8225e11f9aee8c5d697b93e0c94ed67de2bb0146f8cfb",
    "core/evaluation__decision-gate-extract-powerbi-sample.md": "8fe978eae5043b7119e8cddbf4f516dabf2fa2c12fa5b51e44586e6b10f919a9",
    "core/docs__ai-checks__README.md": "40356b9c1a47e8e7c45b3c6a03b2ef1e3ee3c84a1175be99e806b6fbdde41296",
    "core/scripts__validate_all_examples.py": "e0c6dc27ce23b3b560b3f440d496ec86cf3b12a027a1d2ffe54abb3d243c7320",
    "core/docs__role-decision-artifact-matrix.md": "7306aa7825544b80a61b0f656ae76c088986e087e18a0041893ba3b54ce66474",
    "core/decision-log__decision-log.schema.yaml": "4a62e9a8ea03b2eb7767f3e603ed239185f72608976a692fbb951a376e0e0e5c",
    "core/examples__rgds-dec-0002-no-go.json": "fc1039f6655d0a215347deda1926d683e0d7d46a03ae6516835f190d577de955",
    "core/evaluation__ind-requirements-gap-log.md": "911c0d7d80d362d7d819bc35742aa28f3a71beff8800725a155b5c0145baac0e",
    "core/docs__README.md": "aad13aff7a427eacf13c045a61bc54d7cf2ce396db99448157d1e1a5eda8409a",
    "profile/docs__framework-crosswalk.md": "9a353a05c71b14e12f1f01aed174abb6cf64558204a505ceedd7dcffc102184b",
    "profile/LICENSE": "25b297facd43d2f9e23797a318e898dc3e2b25e176c57f4281127767e47de8de",
    "profile/CHANGELOG.md": "eea4b424cac7c95b781a8bab4a526f2caa8d913578c64e1961b9396eca5b2f53",
    "profile/docs__remediation-report.md": "0b11dd947e03f8fe6c0f72d3cf4b88b047e0c896f11700c34f95edf911eb9cb7",
    "profile/CITATION.cff": "1c8c1b8417f7ad2e57f73ca39c69b3d9578509a7b168eff5bc1c96274e49e33c",
    "profile/contracts__non-agentic-ai-contract.md": "f23a413b36a30c8e6055501725c1724bffc35b51eaca792108e5634a658c8f3a",
    "profile/docs__validation.md": "fedde0cf9234507c7a820db847820a84272ed49ad98fcbee461971bb0a610fe1",
    "profile/docs__ai-removability-proof.md": "015fd9d1263eccccdb57759144ded26f8282b70f2421128deda2c31ff859a95a",
    "profile/NOTICE": "eaaf83e875c825c84b1b35133d42f0b7cff98094f9a3341424c99bbcc44c5960",
    "profile/README.md": "ae450ecb21fb7b51410ca157ecd3053b5ccf9f44c37be4ed8b7d490288f59b3d",
    "profile/docs__what-ai-will-not-do.md": "9133557eae9bf5863d46055ff16c18b76a3e87d59d9718ac97a31bc754db526c",
    "profile/scripts__check_rgds_contract.py": "bc1b8569628c8ed719da1288b9e7984648b84ccf29102af0e0f61b3b7ab4f018",
    "profile/scripts__check_docs.py": "d77e17b322ddf5a3d06c43a2bb48e80b3652dc1a673befca7b1dde3ba0b48966",
    "profile/docs__ai-dependency-test.md": "4fc2940d66ce944e8fad7c3c9b11dffe7cee0b3daf2ec2dc9b459c2593b9ec86",
    "profile/examples__rgds-dec-0003-ai-assisted-conditional-go.md": "61dd7f883a71a381fed3bd023f1864b97ed5e4c79ef12240f5ee209f890854df",
    "profile/docs__ai-governance-conceptual-decision-architecture.md": "c31ca7f989da077b4c847fb3c82fd75616039b57c6e9cb65ffd27798f070ad5a",
    "study/docs__index.md": "9bc378ff7f9ab511c6029cdd1e5702ecdcfb3c48eff7a434576bf851a46a070b",
    "study/LICENSE": "6f84a577b2fd6c6d1502d627bc1813663f5be2bdc09722623afd1502ae029b1a",
    "study/requirements.txt": "7ab77fb1b765c89f1be6d9185f4a4fe1a3a06891d1199ea7df8bb14681be2f7c",
    "study/docs__references__acknowledgements.md": "e5dc5def85e31e986ffeb5dc3d637d259ca78c767203a09f027c63619e458985",
    "study/CHANGELOG.md": "54397d751bd28f5b7fdac175283a0a21a2c01b6117063dd4fa9c805dcc8f45cc",
    "study/docs__questions__q4.md": "668941a8e253a21fa557f9a7e78f3b0bede727704ce9e7a64c9b4cc036e19b82",
    "study/CITATION.cff": "d9fc7f6ec7303cd3d1fad4d3274a8830d54eeaff5f17b37ec638df7333d895ea",
    "study/docs__questions__q1.md": "80db5c258351f32f8af1c4c718367888f783585529ae5411e5c94e79d78a1131",
    "study/docs__references__methods-and-tools.md": "a48fb317e59034edc4c7d114a4b136d8736000a8cd8b64d45edf37ad56957dcb",
    "study/docs__references__bibliography.md": "eb2b147cefa88bd79ef76ede4a2d5b4cf15da7fc16afd5de047cff723857119e",
    "study/docs__references__about-the-author.md": "45d6caf02e861480217725e3d70d16c8738b005d5465c392a827f041425e2a87",
    "study/docs__questions__q5.md": "555654a707096f7b2f19d8e0d49a4ba8e048c7997118063bc2f8086848e8a682",
    "study/docs__questions__index.md": "8274b9e5af0dc6cb6272ec425a356f83b449404b73cbf1feb4df920fa252500c",
    "study/README.md": "fb53558b03346517100464beba642258f2089d7beddedc46b65f8abd7d34f25d",
    "study/docs__questions__q2.md": "4128fbf443925b102514cfa7b42d4583ce573659a18b0ccadebe9ae9da26867b",
    "study/docs__questions__q10.md": "c61432b9f1be304aa7858bda6612cac217036d40b0761ce3e2c3b06da36751d0",
    "study/docs__questions__q6.md": "9a94475666a848b5d2f213683f2ef322d87532235c8b7b5072a679d626e340ec",
    "study/docs__questions__results-overview.md": "e3b6f4a05bfe9f453bc5eebfb216f0513311b4dc2b7873f336ef2a6f3a469d02",
    "study/CONTRIBUTING.md": "85c075e8eaace93e52985c9c78cf42431c966fe8a3950cdd251d6266beb757d5",
    "study/docs__questions__q7.md": "f78ff9242dbc3ccbf39401d5833712254b350cee6e9652a5ee0120218062835c",
    "study/docs__questions__q3.md": "3f58d04f237892e1559b76f21b0881b79f37e2cd994f77dd374ad397d0a93dd4",
    "study/docs__references__appendix-a.md": "ef9bbd79d2ec1dceee81a68a12b105e2298c4e65a3f485028b5c8cc1e3113327",
    "study/docs__questions__q8.md": "44053c0a418d5322339bcea7d6fecf3e104a189916987200f49c5c7014746ddb",
    "study/docs__questions__q9.md": "23a5085ecee274e9fef211afb198d31e859d7906e565d217b98ef095d75b13ec"
  },
  "scope": "Supplied core and profile archives; retrieved study source snapshot. Selected sources unchanged. New explanatory figures and local validation results are separate artifacts."
}
