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

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 05/11/2026, 05:03:24 UTC.

Briefings

Research on LLM review institutions reveals that evidence-gated authority can reduce corruption of correct proposals while allowing some repairs of violations. The study compares broad override authority against a gate requiring mechanically valid records of violations and compliant repairs. Across two open-weight models and a portfolio-transfer benchmark, the gate significantly reduced corruption of correct proposals but left some correct proposals replaced by reviewers. The outcome depends on reviewer transitions and upstream proposal states, not just interface design.

Key points

• An evidence-gated authority system reduces corruption of correct proposals by requiring reviewers to produce mechanically valid records of binding-constraint violations before replacement is permitted.
• The gate allows replacement of violations but does not prevent replacement of correct proposals, as demonstrated by Mistral replacing all 48 correct proposals in the study.

Context

This research investigates institutional jurisdiction in multi-agent language-model systems where reviewers can either repair errors or replace decisions that were already correct. The study compares 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. The findings suggest that interface design changes reviewer behavior but is not a model-independent safeguard.

Limitations

The study covers two locally run open-weight models and a 96-task portfolio-transfer benchmark. Results are limited to these specific configurations and do not generalize to all models or review systems. The magnitude of the tradeoff depends on reviewer transitions and upstream proposal states, which were not controlled in the study. A prospective validation is required to confirm the generalizability of these findings.

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