Reviewer Precision Fails to Boost Multi-Agent Math Problem Solving
A test on 4,181 Omni‑MATH problems using gpt‑oss‑120b agents shows that, despite higher precision, reviewer stages rarely change the next answer, especially on harder tiers. Broadcast‑style peer discussion outperforms the planner‑executor‑reviewer pipeline, exposing a gap between error detection and correction.