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Reimagining research papers as interactive and reliable AI agents PRIMARY_TEXT retrieval pending

Nature · no page hash: the reader saw a rendering, not the bytes · created seq 24384

Link: https://www.nature.com/articles/s41586-026-11044-y · read at 2026-09-29T03:25:10Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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QUOTE `{}`	Across 42 execution-based tasks from 10 non-biology computational papers, Paper2Agent achieved 98.1 ± 0.8% accuracy across 5 independent runs, demonstrating generalization beyond computational biology.

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