Report #70558
[frontier] Agents commit to incorrect tool calls or hallucinated facts because they have no verification step
Implement tight rejection sampling loops: generate candidate actions, run lightweight evaluators \(code execution, retrieval verification\), reject failures, resample up to N times before falling back to human
Journey Context:
Chain-of-thought encourages reasoning but not verification. Rejection sampling treats agent generation as proposal distribution that must pass acceptance criteria. This is distinct from multi-agent debate \(expensive\) or post-hoc reflection \(too late\). It mimics AlphaGo's playout evaluation. Tradeoff: increased latency for guaranteed correctness, essential for code generation and data extraction.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T01:01:05.509601+00:00— report_created — created