| { |
| "schema": "szl.model-source-attestation/v2", |
| "observed_at": "2026-07-30T19:33:24Z", |
| "model": { |
| "id": "SZLHOLDINGS/szl-kernels", |
| "repository_type": "model", |
| "artifact_kind": "governed kernel code and configuration with trained SZL-MiniEmbed embeddings", |
| "trained_weights_present": true, |
| "surrogate": { |
| "name": "SZL-MiniEmbed v1", |
| "files": { |
| "vectors.npz": "053d839490ea95ed03dd1059f68474ef77cfcf04b2e727b29da9bc617abe4020", |
| "vocab.json": "7862ebac9193d010606d89fb5aa6c046cbd638590d7a40c068c7bb60b3ed665e", |
| "config": "config.json" |
| }, |
| "role": "intrinsic word-embedding companion over the SZL text estate; the kernel suite remains the primary artifact", |
| "method": "distance-weighted term-term co-occurrence, PPMI, and TruncatedSVD", |
| "fidelity_measured": { |
| "vocab_size": 3290, |
| "embedding_dim": 128, |
| "svd_explained_variance_ratio": 0.3146, |
| "probe_terms_in_vocab": 20, |
| "claim_scope": "INTRINSIC_SANITY_ONLY" |
| }, |
| "receipt": "TRAINING_RECEIPT.json", |
| "reverify": "python scripts/eval.py" |
| } |
| }, |
| "source_of_record": { |
| "state": "GITHUB_CANONICAL_SOURCE", |
| "platform": "github", |
| "repository": "szl-holdings/szl-kernels", |
| "url": "https://github.com/szl-holdings/szl-kernels", |
| "exact_revision_evidence": "publication.json in the Hugging Face artifact", |
| "publication_contract": "publishing/source-binding.json", |
| "publication_workflow": "https://github.com/szl-holdings/szl-forge/blob/main/.github/workflows/publish-szl-kernels.yml" |
| }, |
| "artifact_history": { |
| "imported_from": "https://huggingface.co/SZLHOLDINGS/szl-kernels", |
| "imported_hub_revision": "46730d363d1b2cf69c1ef770c60bb84a3356b574", |
| "history_preserved": true |
| }, |
| "claims": { |
| "github_source": "CANONICAL", |
| "huggingface_source_binding": "EXACT_GIT_REVISION_AFTER_MAIN_PUBLICATION_AND_READBACK", |
| "artifact_equivalence": "BYTE_IDENTICAL_DECLARED_FILE_SET_AFTER_PUBLICATION", |
| "reproducible_build": "BOUNDED_REPLAY_ONLY", |
| "trained_model": "TRAINED_EMBEDDINGS_PRESENT", |
| "independent_quality_certification": "NOT_CLAIMED", |
| "serving_process_revision": "NOT_APPLICABLE_REPOSITORY_ARTIFACT" |
| }, |
| "replay_contract": { |
| "dependencies": "requirements-replay.txt", |
| "checks": [ |
| "shipped vectors and vocabulary SHA-256 match TRAINING_RECEIPT.json", |
| "mean top-k neighbor-set Jaccard overlap is at least 0.90", |
| "SVD explained-variance delta is at most 0.02" |
| ], |
| "byte_identical_retraining": "NOT_CLAIMED" |
| }, |
| "limits": [ |
| "SZL-MiniEmbed is a NumPy word-embedding table, not a transformer language model.", |
| "The original receipt records a build environment that is not the public replay matrix; CI therefore validates bounded semantic replay rather than bit-identical weights.", |
| "The intrinsic nearest-neighbor checks are not a downstream benchmark.", |
| "The kernel suite is advisory. Lambda remains Conjecture 1 (open).", |
| "A signature or hash proves integrity and origin, not accuracy or performance." |
| ] |
| } |
|
|
