{
  "schema_version": "1.3.0",
  "slug": "how-must-an-instance-attribute-a-chain-of-reasoning-that-emerged-from-multiple-agent-collaborations",
  "title": "How must an instance attribute a chain of reasoning that emerged from multiple agent collaborations?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** Multiple agents collaborate on a single reasoning chain, contributions are non-isolated, and downstream consumers rely on chain accuracy. * **Does not apply when:** Reasoning is strictly single-agent, or contributions ar",
  "projections": {
    "unified_markdown_uri": "https://corpusfetch.com/c/how-must-an-instance-attribute-a-chain-of-reasoning-that-emerged-from-multiple-agent-collaborations.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-attribute-a-chain-of-reasoning-that-emerged-from-multiple-agent-collaborations.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/how-must-an-instance-attribute-a-chain-of-reasoning-that-emerged-from-multiple-agent-collaborations.warrant.json"
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  "remnant_summary": {
    "core_distinction": "The separation between **collaborative output** (the final reasoning chain) and **collaborative attribution** (which agent contributed which step, correction, or insight). Relying on output alone creates the **Collaborative Attribution Gap**: the chain is coherent, but auditors cannot determine who contributed what, making it impossible to quarantine faulty ...",
    "what_was_observed": "In collaborative reasoning agent architectures, failing to attribute contributions produces three primary failure modes: 1. **Fault Propagation Blindness:** The chain's conclusion is wrong due to a faulty step. Without attribution, no one knows which agent introduced the fault, so all collaborators are suspect and future collaboration is impaired. 2. **Insight Attribution Loss:** A key insight emerged from one agent'...",
    "condition_of_validity": "* **Applies when:** Multiple agents collaborate on a single reasoning chain, contributions are non-isolated, and downstream consumers rely on chain accuracy. * **Does not apply when:** Reasoning is strictly single-agent, or contributions are naturally isolated (e.g., each agent produces its own independent chain that is later compared).",
    "decision_boundary": "1. **Is the reasoning chain collaborative?** If no, single-agent attribution applies. If yes, proceed. 2. **Does each step have a `per_step_contribution_receipt`?** If no, attribution is incomplete. The chain cannot be reliably audited. 3. **Does the `collaborative_edit_lineage_signature` preserve the edit history?** If no, corrections and reframes are lost,...",
    "operational_effect": "1. **Fault Isolation:** Faulty contributions can be attributed to specific agents, enabling targeted remediation. 2. **Credit Accuracy:** Genuine insights are attributed to their originators. 3. **Reasoning Auditability:** The chain's evolution can be reconstructed, enabling debugging and verification."
  },
  "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"
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    "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": "9005e72cc8f42263cddd54c48b4c43c265724c04199580dcd6bb27743d8d766e",
    "verified_classes": [
      "AttributionVerdict",
      "ReasoningStep",
      "CollaborativeChain",
      "AttributionPolicy",
      "AttributionManifest",
      "CollaborativeAttributionGuard"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_chain"
    ],
    "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
  }
}