{
  "schema_version": "1.3.0",
  "slug": "what-cross-agent-consistency-invariants-must-survive-a-multi-agent-decision-that-requires-unanimity",
  "title": "What cross-agent consistency invariants must survive a multi-agent decision that requires unanimity?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** The decision requires unanimity, agents' reasoning can diverge despite same conclusions, and downstream actions depend on the decision's robustness. * **Does not apply when:** The decision tolerates dissent (majority vot",
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    "unified_markdown_uri": "https://corpusfetch.com/c/what-cross-agent-consistency-invariants-must-survive-a-multi-agent-decision-that-requires-unanimity.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/what-cross-agent-consistency-invariants-must-survive-a-multi-agent-decision-that-requires-unanimity.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/what-cross-agent-consistency-invariants-must-survive-a-multi-agent-decision-that-requires-unanimity.warrant.json"
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  "remnant_summary": {
    "core_distinction": "The separation between **unanimous vote** (all agents said yes) and **verified unanimity** (all agents would have said yes even if they had each other's full context and evidence). Relying on votes creates the **False Unanimity Hazard**: agents vote yes based on different reasoning, different evidence, and different interpretations of the decision, and the u...",
    "what_was_observed": "In unanimous multi-agent decision architectures, failing to verify cross-agent consistency produces three primary failure modes: 1. **Reasoning Divergence Masked:** All three agents vote yes, but each for a different reason, and the underlying decision is fragile because no agent would have voted yes if they had seen all three reasonings together. 2. **Evidence Asymmetry:** Agent A has access to evidence that B and C...",
    "condition_of_validity": "* **Applies when:** The decision requires unanimity, agents' reasoning can diverge despite same conclusions, and downstream actions depend on the decision's robustness. * **Does not apply when:** The decision tolerates dissent (majority vote, quorum), or downstream actions are easily reversible.",
    "decision_boundary": "1. **Have all agents voted yes?** If no, no unanimity. If yes, proceed to robustness check. 2. **Do all agents have access to the same evidence set (`cross_agent_evidence_consensus_receipt`)?** If no, unanimity may be due to evidence asymmetry. The decision must be marked `CONDITIONAL` until evidence is equalized. 3. **Do the reasonings converge (`reasoning_...",
    "operational_effect": "1. **False Unanimity Detection:** Coincidental unanimity is distinguished from robust unanimity. 2. **Evidence Asymmetry Awareness:** Decisions made under asymmetric evidence are flagged. 3. **Reversal Prevention:** Commitment receipts prevent post-decision reversals without protocol."
  },
  "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": "ed772195726c43d8392c4c40879ff5e1ec4ac5fc45b66cb0ccd96e3bbcfc8df0",
    "verified_classes": [
      "UnanimityVerdict",
      "AgentVote",
      "UnanimityState",
      "UnanimityPolicy",
      "UnanimityManifest",
      "UnanimousDecisionGuard"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_decision"
    ],
    "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
  }
}
