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papersTODAY 04:00 UTC

GRADE Models LLM Agent Runs as Typed Graphs of Execution and Dependency

A new arXiv paper introduces GRADE, a method that represents a single LLM agent run as a typed graph rather than a plain step-by-step trace. Execution edges are derived automatically from the trace, while dependency edges are provided separately, with each one carrying a graded observation. The authors argue this extra dependency layer captures what each step relied on, information that ordinary traces omit.

agents/llm-agents/research/graph-representation