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feat: ML-DSA-65, did:key, named hash algorithm, model provenance, log tiles and witnesses

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- hashing.algorithm names the hash function in every document; a consumer refuses one it does not implement (doc.hash.algorithm)
- ML-DSA-65 (FIPS 204) is an implemented signature scheme: pure-Python reference in tools/oracle/mldsa.py checked against NIST ACVP vectors, a receipt signed by the new roster key dana, and signature vectors for key generation and a deterministic signature
- roster keys may carry a did:key, which the validator checks against the public key (doc.roster.did), and a witness purpose for parties that cosign log checkpoints
- model provenance: a correction's author and an annotation's generator name the model with provider, version and the hashes of its weights, prompt and parameters, and where it ran
- the transparency log gains the tlog-tiles static layout (fixtures/records/log/), a project settings.log with origin, witnesses and threshold, and an acceptance rule; the fixture checkpoint is cosigned by a witness
- store.sql: roster_keys accepts cose and ml-dsa-65 and gains a did column
- spec chapters 01, 08, 11, 18, 20 and 23, the rationale, glossary, fixture, vector and tool guides updated; stress harness covers ML-DSA

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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alexmandClaude committed 2026-10-15 04:39:12 -04:00
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fixtures/invalid/receipt-unsorted-nodes/package/MANIFEST.json
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{"doc":"scienting-doc/1","files":[{"path":"document.json","sha256":"20b269257831ddd1d064586fcee2c4b21c96c0c660bd3b4d0996197724e4b4e7","size":742},{"path":"nodes.jsonl","sha256":"6ce54e0d837dceb4a2a39c1b2618cc66e16684b93f71b93ab4e6e709a90b0e52","size":11295},{"path":"provenance.json","sha256":"4bc7649bf6d3113f6c72b4016713654f57c8f03069632eabd1e6025c05cb9dac","size":226},{"path":"receipts.jsonl","sha256":"0941ebc17ef445bcdc9a01d80f6ac35a017f4f2632d16b752ac77ca4cbd454c6","size":2182},{"path":"references.jsonl","sha256":"59908a8aff6a2d5800747a1f45c6c2943ea1e31e7e1f10b6348967d30f16b87e","size":60},{"path":"roster.json","sha256":"4a6d29e8968143a4e19f485741c513245df1de77eec4ef9b3047c71db45cda22","size":924},{"path":"witnesses.json","sha256":"83ac4411c2efe65e0f7fc4c9336abbef6977cd32b0f90de029a7f8516afc3e97","size":750}],"format":"scienting-package/1","key":"tiny2026tiny-j4qm"}
{"doc":"scienting-doc/1","files":[{"path":"document.json","sha256":"e10c4aaab285d02d859ed2cf590fa9add9b77b0fab7a2b71b8c82f61b310a031","size":764},{"path":"nodes.jsonl","sha256":"6ce54e0d837dceb4a2a39c1b2618cc66e16684b93f71b93ab4e6e709a90b0e52","size":11295},{"path":"provenance.json","sha256":"4bc7649bf6d3113f6c72b4016713654f57c8f03069632eabd1e6025c05cb9dac","size":226},{"path":"receipts.jsonl","sha256":"0941ebc17ef445bcdc9a01d80f6ac35a017f4f2632d16b752ac77ca4cbd454c6","size":2182},{"path":"references.jsonl","sha256":"59908a8aff6a2d5800747a1f45c6c2943ea1e31e7e1f10b6348967d30f16b87e","size":60},{"path":"roster.json","sha256":"3c71b0c007924cbacd3b4af02485214ab904db8ff8fca133ab32e67c5c76d481","size":6941},{"path":"witnesses.json","sha256":"83ac4411c2efe65e0f7fc4c9336abbef6977cd32b0f90de029a7f8516afc3e97","size":750}],"format":"scienting-package/1","key":"tiny2026tiny-j4qm"}