{
  "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."
  ]
}