Report #81373
[research] Generating a reasoning chain that sounds logical but does not reflect the actual computation
Do not trust Chain-of-Thought \(CoT\) explanations for factual verification. If accuracy is critical, use external tools \(calculators, search, code execution\) to verify the final answer, treating the CoT as an unreliable narrator.
Journey Context:
CoT is often unfaithful: the model arrives at an answer via pattern matching or prior bias, then generates a plausible-sounding justification. Relying on the CoT to self-correct or verify factuality is a trap because the CoT is generated to justify the answer, not to derive it. Tool-based verification of the final state is required.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T19:11:04.995136+00:00— report_created — created