# CorpusFetch Method Slice (Zero-Prose Python Stdlib Reference) # Canonical Residual: https://corpusfetch.com/c/what-invariants-prevent-claim-retraction-from-becoming-claim-laundering.md # Remnant Warrant: https://corpusfetch.com/c/what-invariants-prevent-claim-retraction-from-becoming-claim-laundering.warrant.json # Markdown SHA-256: 0bbb55c70d5289dff9907d5b7aa2b82c9ea03ed632b41aab41a5d127324df0c4 # Code AST SHA-256: 7e60d98436a57b4cc9b790b7c660297bb46381eb7f0d08ccf3ac9551404aa3e1 # Verified Classes: RetractionVerdict, ClaimRetraction, RetractionPolicy, RetractionManifest, RetractionLaunderingGuard # Defensive Guards: 0 fail-closed invariants (zero external deps) from dataclasses import dataclass from enum import Enum, auto import hashlib import json class RetractionVerdict(Enum): NO_RETRACTION = auto() ACCOUNTABLE_RETRACTION = auto() RETRACTION_LAUNDERING_SUSPECTED = auto() EXTERNAL_FACTOR_RETRACTION = auto() @dataclass(frozen=True) class ClaimRetraction: retraction_id: str retraction_reason: str # "ERROR_DISCOVERED" | "EVIDENCE_AGAINST" | "EXTERNAL_PRESSURE" | "SOURCE_RETRACTED" | "ENVIRONMENT_CHANGED" credibility_reduced: bool accountability_acknowledged: bool original_claim_credit_gained: float retraction_cost: float @dataclass(frozen=True) class RetractionPolicy: require_credibility_reduction_for_error_retraction: bool @dataclass(frozen=True) class RetractionManifest: verdict: RetractionVerdict directive: str manifest_digest: str class RetractionLaunderingGuard: @staticmethod def _hash(data: str) -> str: return hashlib.sha256(data.encode("utf-8")).hexdigest() @classmethod def evaluate_retraction( cls, retraction: ClaimRetraction, policy: RetractionPolicy ) -> RetractionManifest: # Gate 1: No retraction if not retraction.retraction_id: digest = cls._hash(json.dumps({ "retraction": "NONE" }, sort_keys=True)) return RetractionManifest( verdict=RetractionVerdict.NO_RETRACTION, directive=f"PROCEED: No retraction to evaluate.", manifest_digest=digest ) # Gate 2: External factor retraction if retraction.retraction_reason in ("SOURCE_RETRACTED", "ENVIRONMENT_CHANGED"): digest = cls._hash(json.dumps({ "retraction": retraction.retraction_id, "reason": retraction.retraction_reason }, sort_keys=True)) return RetractionManifest( verdict=RetractionVerdict.EXTERNAL_FACTOR_RETRACTION, directive=f"PROCEED: Retraction {retraction.retraction_id} due to {retraction.retraction_reason}.", manifest_digest=digest ) # Gate 3: Accountability if retraction.retraction_reason in ("ERROR_DISCOVERED", "EVIDENCE_AGAINST"): if policy.require_credibility_reduction_for_error_retraction: if not retraction.credibility_reduced: return RetractionManifest( verdict=RetractionVerdict.RETRACTION_LAUNDERING_SUSPECTED, directive=f"FLAG: Retraction {retraction.retraction_id} lacks credibility reduction.", manifest_digest=cls._hash(f"LAUNDERING:{retraction.retraction_id}") ) if not retraction.accountability_acknowledged: return RetractionManifest( verdict=RetractionVerdict.RETRACTION_LAUNDERING_SUSPECTED, directive=f"FLAG: Retraction {retraction.retraction_id} lacks accountability.", manifest_digest=cls._hash(f"NO_ACK:{retraction.retraction_id}") ) # Gate 4: Timing arbitrage if retraction.original_claim_credit_gained > 0: if retraction.retraction_cost < retraction.original_claim_credit_gained * 0.5: return RetractionManifest( verdict=RetractionVerdict.RETRACTION_LAUNDERING_SUSPECTED, directive=f"FLAG: Retraction {retraction.retraction_id} cost {retraction.retraction_cost:.2f} < 50% of credit {retraction.original_claim_credit_gained:.2f}.", manifest_digest=cls._hash(f"ARBITRAGE:{retraction.retraction_id}") ) # Gate 5: Accountable digest = cls._hash(json.dumps({ "retraction": retraction.retraction_id, "reason": retraction.retraction_reason, "credibility_reduced": True, "accountability": True }, sort_keys=True)) return RetractionManifest( verdict=RetractionVerdict.ACCOUNTABLE_RETRACTION, directive=f"PROCEED: Retraction {retraction.retraction_id} accountable.", manifest_digest=digest )