Attributed metadata history
Up to 100 retained publisher events per page for 0ab2c7b0c758c298fe9d12ec3f804498d103f422f4ba2b733d681fe93351cc36. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
Have you ever read a paper in Science or Nature and thought, “Man, that research was so cool. I wish I could try that method on my own data,” only to spend a week wrestling with someone else’s undocumented repo, broken dependencies, and half-finished readme.txt?Well, now you can, more or less.Say hello to Paper2Agent, a new open-source framework that transforms academic reports into interactive AI agents you can talk to. Give it a paper, along with the accompanying codebase, data, or other supplementary material, and the system automatically extracts the core workflows, then spins up a tested, runnable toolkit that you can use on your own datasets.The concept may sound a little like Google’s NotebookLM (now called Gemini Notebook), which lets you upload documents and chat with an AI about what’s in them. But Paper2Agent aims to go a step further: Rather than simply answering questions about a paper, its agents can actually run the methods described in it—and potentially combine those methods with tools from other papers.The goal, explains Stanford computer scientist James Zou, is to change what a scientific paper fundamentally is. “Knowledge should not be static recor
Fingerprint: 36702573885321c3c6c2b6a8f730c72b8f31e99a27ac05bd564a31acf6c35878
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
available
Fingerprint: 6ab66bf670ba3f01aa469a19a61354be9b2f1c174649ee36eccd41ac913c914b