{
  "schema_version": "1.3.0",
  "slug": "how-must-an-instance-record-the-provenance-of-an-inference-time-tool-call-that-modified-the-models-context",
  "title": "How must an instance record the provenance of an inference-time tool call that modified the model's context?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** The model uses inference-time tool calls, tool call results are injected into the context, and downstream consumers need to attribute parts of the output to specific sources. * **Does not apply when:** The model does not",
  "projections": {
    "unified_markdown_uri": "https://corpusfetch.com/c/how-must-an-instance-record-the-provenance-of-an-inference-time-tool-call-that-modified-the-models-context.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-record-the-provenance-of-an-inference-time-tool-call-that-modified-the-models-context.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-record-the-provenance-of-an-inference-time-tool-call-that-modified-the-models-context.warrant.json"
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  "remnant_summary": {
    "core_distinction": "The separation between **final output** (the model's generated response) and **context lineage** (the sequence of tool calls that injected content into the model's context, and at what point during generation). Relying on final output alone creates the **Tool Call Attribution Gap**: the output is produced based on a sequence of tool calls and their injected ...",
    "what_was_observed": "In tool-augmented agent architectures, failing to preserve context lineage produces three primary failure modes: 1. **Hallucination Attribution Failure:** The output contains incorrect information, and the agent cannot determine whether the error came from a hallucinating model or an injected bad tool result. 2. **Unsafe Content Tracing:** The output contains unsafe content, and the agent cannot determine whether the...",
    "condition_of_validity": "* **Applies when:** The model uses inference-time tool calls, tool call results are injected into the context, and downstream consumers need to attribute parts of the output to specific sources. * **Does not apply when:** The model does not use tools during inference, or all tool results are provided upfront before generation starts.",
    "decision_boundary": "1. **Did the inference involve tool calls that modified the context?** If no, standard output provenance applies. If yes, proceed. 2. **Is the `tool_call_sequence_manifest` recorded?** If no, the output cannot be attributed to specific tool calls. The agent must record tool call provenance before persisting the output. 3. **Does each tool call have a `tool_c...",
    "operational_effect": "1. **Attribution Accuracy:** Enables tracing errors and unsafe content to their source (model vs. tool). 2. **Context Integrity:** Provides cryptographic proof that tool results were not tampered with. 3. **Debuggability:** Allows reconstruction of the exact model context at each tool boundary."
  },
  "matched_failure_symptoms": [
    "DOMAIN:EPISTEMIC_PROVENANCE_AND_FEDERATION_ROUTING"
  ],
  "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": "246ea4db69eaa3f3457dc091095a9637772f9507e04a7779a9f602cae638b47e",
    "verified_classes": [
      "ToolCallVerdict",
      "ToolCallRecord",
      "InferenceState",
      "ToolCallPolicy",
      "ToolCallManifest",
      "InferenceToolCallGuard"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_inference"
    ],
    "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
  }
}