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Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents

Hugging Face Blog ↗ · 2026-09-29 Cached

This paper introduces ProvenanceGuard, a source-aware verification method for MCP-based LLM agents to address cross-source conflation, where claims are factually correct but attributed to the wrong source.

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#source-awareness

ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents

arXiv cs.AI ↗ · 2026-06-17 Cached

ProvenanceGuard是一种用于MCP驱动的LLM代理的源感知事实性验证器,它通过分解回答为原子声明、路由到特定源证据、检查支持并验证归因,解决了跨源混淆问题。在医疗领域的评估中,它达到了0.802的块F1和0.858的源准确率。

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