| { |
| "schema_version": 1, |
| "artifact": "embedding_dict.json", |
| "distribution": "external_runtime_asset_not_tracked_by_git", |
| "embedding_model": "embedding-3", |
| "semantic_similarity_threshold": 0.85, |
| "semantic_similarity_operation": "raw_dot_product_historical_implementation_on_approximately_unit_norm_vectors", |
| "sha256": "df3c3dfd625f8205c278d9d7b22641cfbf351c886559abb1894c663bb657d067", |
| "size_bytes": 548127946, |
| "entry_count": 19644, |
| "embedding_dimension": 2048, |
| "non_finite_vector_count": 0, |
| "inconsistent_dimension_count": 0, |
| "blank_key_count": 1, |
| "vector_l2_norm": { |
| "minimum": 0.9999337429879811, |
| "mean": 0.999999939836742, |
| "median": 0.9999999995442519, |
| "maximum": 1.000054469389027, |
| "maximum_absolute_deviation_from_one": 0.0000662570120189 |
| }, |
| "frozen_at": "2026-08-22", |
| "recommended_file_mode": "0444", |
| "runtime_environment": { |
| "ORIENTER_EMBEDDING_CACHE": "/absolute/path/to/embedding_dict.json", |
| "ORIENTER_EMBEDDING_OFFLINE": "1", |
| "ORIENTER_EMBEDDING_READONLY": "1" |
| }, |
| "notes": [ |
| "Verify the SHA-256 before evaluation.", |
| "Offline mode fails before an embedding API call when a required category is absent.", |
| "The paper describes cosine similarity, while the historical evaluator uses a raw dot product. The cached vectors are approximately unit norm, so the operations are numerically close but not formally identical.", |
| "The frozen artifact is unchanged from the historical evaluator cache; the single blank key is retained for byte identity and is not used by the validated evaluation paths." |
| ] |
| } |
|
|
