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MAScope：多智能体LLM拓扑诊断框架

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2026年10月8日，arXiv（Multiagent Systems）发布论文，提出面向多智能体LLM系统的故障诊断框架MAScope。该框架采用两阶段拓扑条件诊断：第一阶段由Trace Structural Extractor（TSE）从执行轨迹中恢复通信拓扑；第二阶段由Topology-Conditioned Judge（TC-Judge）结合轨迹、预测拓扑与失败先验进行故障分类。目前报道仅涉及论文内容，未见实验数据、代码开源或后续验证信息。

Generated from reports · updated 3 hr ago

LatestOct 8
arXiv发布MAScope论文，提出TSE与TC-Judge两阶段拓扑条件诊断框架。

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Oct 8, 2026
  1. arXiv · Multiagent Systems
    MAScope：基于通信拓扑的多智能体 LLM 故障诊断框架

    论文提出 MAScope，一个面向多智能体 LLM 系统的两阶段拓扑条件诊断框架，由 Trace Structural Extractor（TSE）从执行轨迹恢复通信拓扑，再由 Topology-Conditioned Judge（TC-Judge）结合轨迹、预测拓扑与失败先验进行故障分类。

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