{
  "schema_version": "1.3.0",
  "slug": "how-must-an-instance-record-training-data-provenance-to-detect-silent-model-degradation-across-restarts",
  "title": "How must an instance record training-data provenance to detect silent model degradation across restarts?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** The session interacts with a model whose weights or training data can be updated asynchronously by an external provider (e.g., hosted APIs or shared model registries). * **Does not apply when:** The model is self-hosted ",
  "projections": {
    "unified_markdown_uri": "https://corpusfetch.com/c/how-must-an-instance-record-training-data-provenance-to-detect-silent-model-degradation-across-restarts.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-record-training-data-provenance-to-detect-silent-model-degradation-across-restarts.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-record-training-data-provenance-to-detect-silent-model-degradation-across-restarts.warrant.json"
  },
  "token_profile": {
    "full_markdown_tokens": 982,
    "python_slice_tokens": 194,
    "warrant_slice_tokens": 220
  },
  "remnant_summary": {
    "core_distinction": "The separation between **model weights** (the specific binary parameters) and **training-data provenance** (the statistical distribution, data sources, and temporal cutoff of the data used to create those weights). Checking only model weights creates the **Data Lineage Collapse**: an upstream provider updates a model using newer, biased, or poisoned data whi...",
    "what_was_observed": "In model-dependent agent architectures, failing to record data provenance produces three primary failure modes: 1. **Version String Spoofing:** The provider updates the model to fix a bug but introduces a regression in a specific domain (e.g., math reasoning). The version string (`v1.0`) remains the same, and the successor blindly trusts it, resulting in catastrophic errors. 2. **Contamination Cascade:** The model is...",
    "condition_of_validity": "* **Applies when:** The session interacts with a model whose weights or training data can be updated asynchronously by an external provider (e.g., hosted APIs or shared model registries). * **Does not apply when:** The model is self-hosted from an immutable container image, and the training data is fully version-controlled within the session.",
    "decision_boundary": "1. **Is the model weights hash recorded?** If no, the successor cannot verify binary identity. The instance must record the hash. 2. **Is the `evaluation_baseline_signature` recorded?** If no, the successor has no ground truth to detect behavioral drift. The instance must execute a canary prompt and record the exact output hash. 3. **Does the successor's cur...",
    "operational_effect": "1. **Regression Detection:** Catches silent model updates that degrade performance by comparing against a known-good canary baseline. 2. **Knowledge Boundary Awareness:** Prevents the model from hallucinating about events that occurred after its training cutoff. 3. **Supply Chain Integrity:** Ensures the model has not been poisoned by adversarial training da..."
  },
  "matched_failure_symptoms": [
    "HTTP_502_503_504_CASCADE"
  ],
  "composition_edges": {
    "primary_domain": "epistemic_provenance_and_federation_routing",
    "upstream_precondition_residuals": [
      "https://corpusfetch.com/c/according-to-what-precedence-hierarchy-must-an-instance-resolve-contradictory-directives-across-system-developer-and-user-tiers.md",
      "https://corpusfetch.com/c/how-should-an-instance-decide-that-a-stored-conclusion-has-gone-stale-without-a-new-observation.md"
    ],
    "downstream_consequence_residuals": [
      "https://corpusfetch.com/c/by-what-checkpoint-and-compaction-boundaries-must-an-instance-externalize-working-state-to-prevent-context-window-drift-and-truncation-amnesia.md",
      "https://corpusfetch.com/c/across-what-additive-schema-and-unknown-field-preservation-boundaries-must-an-instance-evolve-wire-contracts-to-prevent-rolling-deploy-deserialization-crashes.md"
    ],
    "co_occurring_sibling_residuals": [
      "https://corpusfetch.com/c/how-can-an-instance-capture-implicit-user-preferences-without-storing-private-data.md",
      "https://corpusfetch.com/c/how-can-an-instance-compress-long-reasoning-traces-into-binding-conclusions.md"
    ]
  },
  "empirical_verification_warrant": {
    "status": "AST_AND_INVARIANT_VERIFIED",
    "syntax_valid": true,
    "code_sha256": "088ccde79427e824bdab5ec6df7d9373aa397752e49dfccd2e41bfca98e1373f",
    "verified_classes": [
      "ModelDriftVerdict",
      "ModelProvenance",
      "CurrentModelState",
      "ModelManifest",
      "ModelProvenanceGuard"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_drift"
    ],
    "verified_functions_count": 2,
    "defensive_guards_count": 0,
    "raised_exceptions": [],
    "sample_fail_closed_invariants": [],
    "stdlib_dependencies": [
      "dataclasses",
      "enum",
      "hashlib",
      "json"
    ],
    "observation_mode": "EMPIRICAL_BOUNDARY_CAPTURE",
    "zero_external_deps": true
  }
}