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

- 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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@@ -220,6 +220,34 @@
},
"stages": {
"$ref": "common.schema.json#/$defs/key"
},
"log": {
"type": "object",
"description": "The project's transparency log (spec/23): its origin, the roster keys that witness it, and how many must cosign a checkpoint.",
"properties": {
"origin": {
"type": "string",
"pattern": "^[^\\n]+$",
"minLength": 1
},
"witnesses": {
"type": "array",
"items": {
"$ref": "common.schema.json#/$defs/key"
},
"uniqueItems": true
},
"threshold": {
"type": "integer",
"minimum": 0
}
},
"required": [
"origin",
"witnesses",
"threshold"
],
"additionalProperties": false
}
},
"required": [],