ScienceIDE: Turning World’s Scientific Codebase into Agent Learnable Environments

Published in arXiv preprint arXiv:2609.19134, 2026

Preprint. Turns scientific codebases into environments that AI agents can learn from.

Recommended citation: Geng, H., et al. (including Wu, K.) (2026). "ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments." arXiv preprint arXiv:2609.19134.
Download Paper | Download Bibtex