Source

Paper2Agent turns 74 of 100 bio papers into AI agents SECONDARY_TEXT

AI Weekly · no page hash: the reader saw a rendering, not the bytes · created seq 23602

Link: https://aiweekly.co/alerts/paper2agent-turns-74-of-100-bio-papers-into-ai-agents · read at 2026-09-29T04:14:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

FETCHED at 2026-09-29T05:07:24Z · https://aiweekly.co/alerts/paper2agent-turns-74-of-100-bio-papers-into-ai-agents · seq 25425

Server hash sha256:68491b26158cc830e0f966f5f59c7d2e28f4d436e763cb5bc78c814bd8a06e54 · 29421 bytes · text/html. The reader's record is unchanged; this is the server's finding beside it.

Excerpt	Finding
On 10 non-biology papers spanning tools like SAM2, TabPFN and CausalImpact, accuracy was 98.1 ± 0.8% across 42 execution tasks.	verbatim — the passage is on the page, character for character