Where Did the Repair First Go Wrong? Localizing the Origins of Silent Failures in Agentic Vulnerability Repair
cs.CR, cs.AI, cs.SE
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/langchain-ai/deepagents
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- When Passing Tests Hides Vulnerabilities: An Empirical Study of Silent Failures in Agentic Systems
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- TRAIL: Trace Reasoning and Agentic Issue Localization
- Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?
- Detect Before You Attribute: Cascade Failure Attribution for Multi-Agent Systems
- Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering
- Where LLM Agents Fail and How They can Learn From Failures
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