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Auditable Agents
让AI智能体行为可追溯、可问责，破解黑箱难题的前沿研究
arXiv:2604.05485v2 Announce Type: replace Abstract: LLM agents call tools, query databases, delegate tasks, and trigger external side effects. Once an…
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Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction
提出显式可审计的图推理方法，通过目标感知的因果链构建实现推理路径透明化
arXiv:2607.15281v1 Announce Type: new Abstract: Causal and intervention-based question answering is fundamental to advancing large language models (LL…
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Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents
为LLM智能体设计可审计的假设演化协议，让AI科学家过程透明可信
arXiv:2607.09195v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly expected to play a central role in AI-driven scient…