Scientific knowledge is mostly stored in static papers. An automated framework called Paper2Agent can now transform each paper into an active artificial intelligence agent — a virtual corresponding author that answers questions, applies the paper’s methods to new data, and collaborates with other paper agents. This makes research easier to reproduce, reuse and extend. A virtual corresponding author prompted in natural language can explain and reproduce a paper’s analyses.
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A 2026 study studied this question.
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