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arXiv CS.AI
7/20/2026
Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning

Short summary

This study tests whether hierarchical reviewer agents actually improve math problem-solving in multi-agent systems. Using 4,181 Omni-MATH problems with matched gpt-oss-120b actors, it finds that a precise reviewer in a planner-executor-reviewer pipeline does not guarantee better outcomes—critique uptake matters more than critique accuracy. Broadcast-style peer discussion outperforms structured review in harder problem tiers because critiques are more likely to change the next answer.

  • Reviewer precision and critique uptake are empirically separable in multi-agent math reasoning
  • Broadcast peer discussion beats planner-executor-reviewer pipeline on harder problems despite less precise reviewers
  • Embedding reviewer guidance in solver context partially improves follow-through but doesn't close the gap

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