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Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions

Summary

This paper frames reviewer authority in multi-agent LLM systems as a question of institutional jurisdiction, comparing broad override authority with an evidence gate. Experiments show the gate sharply reduces corruption of correct proposals, but its effectiveness depends on model behavior and is not a model-independent safeguard.

SourcearXiv AIAuthor: Fuad Ali
Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions
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[Submitted on 12 Sep 2026]

Title:Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions

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Abstract:Multi-agent language-model systems often add a reviewer to improve an upstream agent's decision. Yet a reviewer can both repair errors and replace decisions that were already correct. We study this as a problem of institutional jurisdiction: conditional on the same proposal, task information, model, and review output, when is the reviewer authorized to make its recommendation binding? We compare broad override authority with an evidence gate that permits replacement only after the reviewer produces a mechanically valid record of a binding-constraint violation and a compliant repair. Across two locally run open-weight models, 96 spatial-policy tasks, and a 96-task portfolio-transfer benchmark, the gate sharply reduces corruption of correct proposals while retaining most repairs of violations. The directions of this tradeoff are partly implied by the rule; its magnitude depends on reviewer transitions and upstream proposal states. A prospective validation then gives the reviewer an explicit choice to retain, replace, or escalate. This eliminates correct-proposal corruption for Qwen, but Mistral still replaces all 48 correct proposals; Qwen also declines every welfare-only repair that Mistral frequently attempts. Thus interface design changes reviewer behavior but is not a model-independent safeguard. The result is not that restricted review is universally better. It is that reviewer competence, action interface, and binding jurisdiction jointly determine both the correction domain and the corruption surface.

Comments: 11 pages, 3 figures, 3 tables. Code, frozen outputs, and reproduction instructions: this https URL

Subjects:

Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)

Cite as: arXiv:2611.05390 [cs.AI]

(or arXiv:2611.05390v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2611.05390

arXiv-issued DOI via DataCite

Submission history

From: Fuad Ali [view email] [v1] Sat, 12 Sep 2026 17:58:39 UTC (125 KB)

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Key points

  • A reviewer can both repair errors and wrongly overturn decisions that were already correct.
  • An evidence gate permits replacement only after the reviewer produces a mechanically valid record of a binding-constraint violation and a compliant repair.
  • In a prospective validation, giving the reviewer explicit retain, replace, or escalate choices eliminated correct-proposal corruption for Qwen, but Mistral still replaced all 48 correct proposals.
  • Reviewer competence, action interface, and binding jurisdiction jointly determine the correction domain and the corruption surface.

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