arXiv cs.LGPaper
Modelpedia: A Catalog of Model Findings for the Meta-Science of AI
This is a tooling play on the coordination problem in AI research: findings about models scatter across hundreds of papers and become effectively invisible. If the catalog stays maintained and the extraction actually works, it becomes a reference layer that researchers and builders use to avoid reinventing understanding. Right now it's a prototype with ICLR papers only; watch whether the community actually contributes to it.