Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents 事件

Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents arXiv:2605.21347v3 Announce Type: replace Abstract: Diagnosing failures in LLM agents remains largely manual. Practitioners inspect a small subset of execution traces, form ad-hoc hypotheses, and iterate. This process misses patterns that only emerge across trace populations and does not scale to production corpora where individual traces span tens of thousands of tokens. We formalize the problem of corpus-level trace