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The results demonstrate the importance of retrieval-centered verification and claim decomposition, while highlighting the challenges posed by ambiguous and interpretive reviewer claims.
Reviewerly's retrieval-centered infrastructure for auditing peer review at scale is presented and three deployed systems are described, including three deployed systems that analyzes hybrid human--AI authorship by disentangling the origin of ideas from the origin of text in peer reviews, enabling measurement of how hum...
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