arXiv (All)
open access
Executable Prefix Values for Locating Agent Failures
Work on debugging LLM agents treats the "first mistake" marked by a human or LLM judge as ground truth for where a trajectory failed. We ask whether such labels point at causes or symptoms, and make the distinction executable: we restart the agent from reconstructed intermediate states of a failed t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Tracing Agentic Failure from the Flow of Success#1325220
- Calibrating Criterion Revision in LLM Agents: Failure Modes and a Trace-Anchored Protocol#659285
- Calibrating Criterion Revision in LLM Agents: Failure Modes and a Trace-Anchored Protocol#657149
- From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness Flaws#259533
- Where Did the Repair First Go Wrong? Localizing the Origins of Silent Failures in Agentic Vulnerability Repair#1202582
Record · ID 1342845
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive