180 citations · 185 across the 6 of their papers we have counts for
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cs.AI2026
From Anomalies to Failures: Constructing Causal Error Graphs for Agentic Trace Diagnosis
Shu-Xun Yang, Yidong Wang, Zhuoer Feng +7
LLM-driven agents are increasingly deployed in complex applications, where long agentic traces make failures difficult to diagnose. Existing trace diagnosis methods often conflate…
cs.AI2026
TraceSIR: A Multi-Agent Framework for Structured Analysis and Reporting of Agentic Execution Traces
Shu-Xun Yang, Cunxiang Wang, Haoke Zhang +12
Agentic systems augment large language models with external tools and iterative decision making, enabling complex tasks such as deep research, function calling, and coding. However…