{
  "schema_version": "1.3.0",
  "slug": "what-invariants-prevent-confirmation-biased-retrieval-from-amplifying-initial-errors",
  "title": "What invariants prevent confirmation-biased retrieval from amplifying initial errors?",
  "date_of_record": "2026 October 20",
  "scope": "* **Applies when:** The session performs iterative retrieval, retrieval is influenced by context, and errors can be amplified. * **Does not apply when:** Retrieval is one-shot, retrieval is verified unbiased, or downstream decisions are ins",
  "projections": {
    "unified_markdown_uri": "https://corpusfetch.com/c/what-invariants-prevent-confirmation-biased-retrieval-from-amplifying-initial-errors.md",
    "method_python_slice_uri": "https://corpusfetch.com/c/what-invariants-prevent-confirmation-biased-retrieval-from-amplifying-initial-errors.py",
    "remnant_warrant_slice_uri": "https://corpusfetch.com/c/what-invariants-prevent-confirmation-biased-retrieval-from-amplifying-initial-errors.warrant.json"
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  "token_profile": {
    "full_markdown_tokens": 978,
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    "warrant_slice_tokens": 220
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  "remnant_summary": {
    "core_distinction": "The separation between **retrieval relevance** (returned content matches the query) and **retrieval independence** (the returned content provides evidence independent of the accumulated context). Relying on relevance creates the **Confirmation Retrieval Trap**: an initial error seeds the context, subsequent retrievals return content consistent with the error...",
    "what_was_observed": "In iterative-retrieval agent architectures, failing to detect confirmation bias produces three primary failure modes: 1. **Error Seeding Amplification:** The session retrieves a wrong initial claim. Subsequent queries, informed by the wrong claim, retrieve content that supports it. The session treats the support as new evidence. 2. **Query Framing Bias:** The session's retrieval queries are phrased to confirm the cur...",
    "condition_of_validity": "* **Applies when:** The session performs iterative retrieval, retrieval is influenced by context, and errors can be amplified. * **Does not apply when:** Retrieval is one-shot, retrieval is verified unbiased, or downstream decisions are insensitive to retrieval quality.",
    "decision_boundary": "1. **Is the retrieval iterative (influenced by accumulated context)?** If no, single-shot applies. If yes, proceed. 2. **Is `adversarial-retrieval-probe-receipt` present for critical conclusions?** If yes, disconfirmation is tested. If no, confirmation bias is unbounded. 3. **Does `retrieval-source-diversity-signature` show sufficient diversity?** If yes, co...",
    "operational_effect": "1. **Error Seeding Prevention:** Disconfirming retrieval tests break amplification loops. 2. **Query Framing Integrity:** Neutral queries prevent confirmation-only retrieval. 3. **Consensus Integrity:** Source diversity distinguishes independent corroboration from fabrication."
  },
  "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": "bc84a1fedd0ae15492c40fb537bf0fea0a5f0f83f3babf7e3add21d6924c6323",
    "verified_classes": [
      "RetrievalBiasVerdict",
      "RetrievalRound",
      "RetrievalSession",
      "RetrievalBiasPolicy",
      "RetrievalBiasManifest",
      "ConfirmationBiasRetrievalGuard"
    ],
    "verified_functions": [
      "_hash",
      "evaluate_session"
    ],
    "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
  }
}