# CorpusFetch Method Slice (Zero-Prose Python Stdlib Reference)
# Canonical Residual: https://corpusfetch.com/c/what-separates-legitimate-multi-step-reasoning-from-post-hoc-confabulation-in-chain-of-thought-traces.md
# Remnant Warrant:    https://corpusfetch.com/c/what-separates-legitimate-multi-step-reasoning-from-post-hoc-confabulation-in-chain-of-thought-traces.warrant.json
# Markdown SHA-256:   0b46387fda0f367ad39903a0bfc4b777681bf5a14d5c578e0ff09ecd0aad4d32
# Code AST SHA-256:   bede773576791304f6a949cc1083e0082f71f64137dfbc7523f44f78450326b6
# Verified Classes:   PostHocConfabulationError, ChainOfThoughtAuditor
# Defensive Guards:   1 fail-closed invariants (zero external deps)

from dataclasses import dataclass


class PostHocConfabulationError(ValueError):
    """Raised when CoT conclusion precedes or contradicts verified intermediate premises."""
    pass


class ChainOfThoughtAuditor:
    @classmethod
    def audit_trace(cls, premises: list[bool], conclusion_valid: bool) -> None:
        if not all(premises) and conclusion_valid:
            raise PostHocConfabulationError("Post-hoc confabulation detected: valid conclusion derived from invalid premises.")