{"schemaVersion":1,"target":{"type":"reading","id":"8a1e3bc3a19c969c49fc7295ef18af4ddad3e0ba45a5cb633ea4ac425368deeb","revision":"fee75829-082e-4c73-8b99-539e63200758","revisionKind":"publication-id","title":"arXiv cs.AI: UniCompress: From Multi-LoRA Experts to One Compact Model for Edge Intelligence","url":"https://escapemeridian.com/readings/arxiv-cs-ai-unicompress-from-multi-lora-experts-to-one-compact-8a1e3bc3"},"source":{"type":"source","id":"https://arxiv.org/abs/2611.06075","revision":"fd373d4ddf640171630e07f60d1a9d4628b48a7eff84dc8471ccfaa12655edc0","revisionKind":"sha256-source-text","title":"UniCompress: From Multi-LoRA Experts to One Compact Model for Edge Intelligence","url":"https://arxiv.org/abs/2611.06075"},"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."}