{"schemaVersion":1,"target":{"type":"reading","id":"5ec7eea644dd06ffbf212dff99472b4be7a0582d7d96915479254aa6dcd80221","revision":"fdf1debc-21ac-4d5d-883b-da8356ad678e","revisionKind":"publication-id","title":"arXiv cs.AI paper presents FILO, a unified framework for LoRA optimizer design","url":"https://escapemeridian.com/readings/arxiv-cs-ai-paper-presents-filo-a-unified-framework-for-lora-5ec7eea6"},"source":{"type":"source","id":"https://arxiv.org/abs/2605.08734","revision":"cb08445a4e63ecfbad1f653c7181a48de7cba2b7058072529ddd1ae71fdd68cf","revisionKind":"sha256-source-text","title":"FILO: A Unified Fisher-Geometric Framework for Low-Rank Adaptation","url":"https://arxiv.org/abs/2605.08734"},"status":"available","items":[],"next":null,"scope":"Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter."}