ProvenanceGuard: provenance-aware fact-checking for MCP agents
What happened
On 29 September 2026, Hugging Face published the ProvenanceGuard paper, describing a post-generation verification layer for MCP agents. It preserves the source identity of tool outputs and detects cross-source confusion where a fact is true but attributed incorrectly. Across 281 real medical-agent traces, ProvenanceGuard blocked 138 of 139 claims experts judged should be stopped, with source identification accuracy of around 86%, and scored highest against four other checkers.
Written by AI from the reports · updated 2 d ago
Timeline
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- Hugging Face BlogGetting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents
Hugging Face published ProvenanceGuard, a post-generation verification layer for MCP agents that preserves tool-output provenance and detects cross-source confusion where a fact is true but attributed incorrectly. Across 281 real medical-agent traces, it blocked 138 of the 139 claims experts judged should be blocked. Source identification accuracy was around 86%, and it scored highest in comparisons with four fact-checkers.
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