Abstract

Multi-agent systems are often judged by whether they reach the correct answer. This can miss a distinct failure: collaboration may leave behind a corrupted information state even when the immediate decision is correct. We call this an off-query failure. To study this failure in collaborative decision support, we introduce OffQuery, which separately evaluates evidence verification (T1), shared-state reconstruction (T2), and task resolution (T3) in two representative high-stakes settings: healthcare and disaster response. Across GPT, Gemini, and Qwen models, standard collaboration shows much stronger task performance than state reliability. Averaged over 21 model--setting combinations, task resolution reaches 64.7%, while evidence verification and state reconstruction reach only 14.3% and 43.1%. We trace this gap to selective information use: current queries often bypass corrupted facts, which become consequential when later tasks require them. We further introduce ReGround, which resolves conflicting evidence, verifies shared facts, reconstructs a trusted state, and reasons over that state. Across seven models from three families, ReGround improves all three capabilities in every evaluated setting, with average relative gains of 309.0%, 82.9%, and 17.6% on T1, T2, and T3. Reliable collaboration therefore requires both a correct decision and a reliable shared state for future reasoning.

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Cite this article

APA 7

Wan, H., Wu, J., Luo, M., Ma, Z., Li, F., Chen, N. F., & Kan, M. Y. (2026). Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaboration. https://omanscience.com/en/articles/right-answers-wrong-states-hidden-information-failures-in-multi-agent-collaboration

MLA 9

Wan, Herun, et al. "Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaboration." https://omanscience.com/en/articles/right-answers-wrong-states-hidden-information-failures-in-multi-agent-collaboration.

Chicago (author–date)

Wan, Herun, Jiaying Wu, Minnan Luo, Zihan Ma, Fanxiao Li, Nancy F. Chen, and Min-Yen Kan. 2026. "Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaboration." https://omanscience.com/en/articles/right-answers-wrong-states-hidden-information-failures-in-multi-agent-collaboration.

Harvard

Wan, H., Wu, J., Luo, M., Ma, Z., Li, F., Chen, N. F. and Kan, M. Y. (2026) 'Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaboration', Available at: https://omanscience.com/en/articles/right-answers-wrong-states-hidden-information-failures-in-multi-agent-collaboration.

Vancouver

Wan H, Wu J, Luo M, Ma Z, Li F, Chen NF, et al. Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaboration. https://omanscience.com/en/articles/right-answers-wrong-states-hidden-information-failures-in-multi-agent-collaboration

IEEE

H. Wan, J. Wu, M. Luo, Z. Ma, F. Li, N. F. Chen, and M. Y. Kan, "Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaboration," https://omanscience.com/en/articles/right-answers-wrong-states-hidden-information-failures-in-multi-agent-collaboration.