多智能体系统授权配对评估与控制框架FlowReview
原标题：Deny Without Disabling: Authorization-Paired Evaluation and Control for Multi-Agent Systems
AI 摘要
论文提出授权配对评估方法，将阻止禁止用途与完成必需授权用途作为联合成功标准，并给出FlowReview框架，连接对象解析、权限排序与确定性执行。在受控组合实验中，审查组合产物将拒绝提交率从86.0%降至零，且授权供给无损失。研究表明仅保留信息和血缘不足以确保正确权限归属，需将对象身份与权限通过可验证组件连接到执行。
正文节选
Deny Without Disabling: Authorization-Paired Evaluation and Control for Multi-Agent Systems Abstract Multi-agent systems derive their capabilities from sharing evidence, delegating tasks, and combining information across agents. The same process creates a safety problem: contributions that are admissible in isolation can jointly enable a prohibited use. Blocking every sensitive action avoids disclosure but defeats the purpose of collaboration. We introduce authorization-paired evaluation, which