PaperPulse releases multi-agent AI tool to audit research papers
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PaperPulse has been released as a browser-integrated, multi-agent AI system that audits scientific papers, news articles and web content for methodological rigor, statistical validity and code-to-paper alignment. It runs on a LangGraph orchestrator with four specialized agents handling extraction, GitHub code grounding, statistical critique and citation-grounded synthesis, and produces a structured JSON report rendered as Markdown in a Chrome extension. The release is presented as a tool for checking reproducibility; no independent evaluation of its audit accuracy was reported.
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- Hacker News · AIPaperPulse uses LangGraph multi-agent AI to audit papers for reproducibility
PaperPulse is a browser-integrated multi-agent system built on a LangGraph orchestrator that audits scientific papers, news articles and web content for methodological rigor, statistical validity and code-to-paper alignment. Four specialized agents handle extraction, GitHub code grounding, statistical critique and citation-grounded synthesis, producing a structured JSON report rendered as Markdown in a Chrome extension.
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