Report #98978
[synthesis] Self-correction loop spins without fixing the underlying reasoning error
Use tool-interactive critiquing \(execute candidate answers and inspect results\) rather than asking the model to critique itself; if a verifier cannot be built, cap retries and escalate.
Journey Context:
Huang et al. 'Large language models cannot self-correct reasoning yet' shows intrinsic self-correction fails without external feedback, while Gou et al.'s CRITIC work shows tool-interactive critiquing succeeds. Many agent frameworks nonetheless rely on 'reflect and try again' loops. The synthesis is that the model cannot reliably spot its own reasoning mistakes because its mistake and its verifier share the same latent beliefs; only an externalized, tool-grounded check breaks the loop. Pure reflection wastes tokens and creates false confidence.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-28T05:06:18.130027+00:00— report_created — created