When does correct critique lead to repair?
We compare multi-agent protocols on 4,181 verifier-grounded Omni-MATH problems with matched gpt-oss-120b actors. The planner–executor–reviewer pipeline has a more precise reviewer than broadcast deliberation, yet verified useful critique changes its next candidate much less often. Detection, uptake, and successful repair are empirically separable: evaluating a reviewer alone can miss whether the system acts on its feedback. Within-PER interventions provide directional evidence about feedback delivery, without establishing an isolated causal mechanism.
Reproduction & release notes ↗Dataset & terms ↗
Release note: the legacy token and model-call cost figures in arXiv v1 are invalid and withdrawn; accuracy and review-transition results are unaffected. See the repository for artifact coverage and reproduction limits.
Citation
Download BibTeX ↗Chih-Hsuan Yang et al. Precise but Uncoupled. arXiv preprint, 2026.
doi:10.48550/arXiv.2607.15388
BibTeX
@misc{yang2026preciseuncoupled,
title = {Precise but Uncoupled: Reviewer Precision Does Not Guarantee
Critique Uptake in Multi-Agent Math Reasoning},
author = {Yang, Chih-Hsuan and Jiang, Jingyan and Vasudevan, Vikram and
Yang, Cheng-Hau and Zheng, Huihuo and Chen, Le and
Huerta, Eliu A. and Vishwanath, Venkatram and
Foster, Ian T. and Thakur, Rajeev},
year = {2026},
eprint = {2607.15388},
archivePrefix = {arXiv},
primaryClass = {cs.AI},
doi = {10.48550/arXiv.2607.15388},
url = {https://arxiv.org/abs/2607.15388}
}