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#execution-tracing News & Analysis

2 articles tagged with #execution-tracing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 46/10
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From Agent Traces to Trust: Evidence Tracing and Execution Provenance in LLM Agents

A comprehensive survey examines evidence tracing and execution provenance in LLM agents—mechanisms for tracking how autonomous AI systems arrive at decisions by documenting retrieved evidence, tool interactions, and memory influences. This research addresses critical gaps in verifying, debugging, and auditing agent behavior beyond simple output accuracy, proposing frameworks and taxonomies for process-level accountability in AI systems.

AIBullisharXiv – CS AI · Jun 26/10
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SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision

Researchers introduce SkillRevise, a framework that automatically refines LLM agent skills through execution-grounded iteration, improving task success rates from 36% to 62% on benchmarks. The approach addresses the cold-start problem in agent development by diagnosing defects from execution traces and applying targeted repairs, while demonstrating strong cross-model transferability.