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DProvenanceKit: Execution Provenance for AI Systems
为AI系统提供执行来源追踪的开源工具，提升模型行为可追溯性
Article URL: https://github.com/Therealdk8890/DProvenanceKitPython Comments URL: https://news.ycombinator.com/item?id=48743043 Points: 1 # Comments: 0
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Agent Guide: A Simple Agent Behavioral Watermarking Framework
提出简洁的智能体行为水印框架，为AI Agent的可追溯性与安全性提供新思路。
arXiv:2504.05871v3 Announce Type: replace Abstract: The increasing deployment of intelligent agents in digital ecosystems, such as social media platfo…
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Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis
用LLM管道和交互仪表盘自动化提取欧盟监管咨询中的结构化主题，实现可追溯分析。
arXiv:2605.30995v1 Announce Type: cross Abstract: Public consultations generate large volumes of data in the form of stakeholder submissions that are …
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Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study
ISSTA '26收录的实证研究，首次从可追溯性视角系统评估自动化程序修复智能体的行为与效果。
arXiv:2506.08311v2 Announce Type: replace-cross Abstract: Automated Program Repair (APR) agents leverage Large Language Models (LLMs) to autonomously …