{"schemaVersion":1,"target":{"type":"reading","id":"367213a1f5676dc7e2bf158346ec9217b6dae025535665bb074b0637c6d88a1d","revision":"a8723b51-9d83-4def-861c-59e457a2f896","revisionKind":"publication-id","title":"arXiv cs.AI: Researchers propose a hybrid memory design for sequence models","url":"https://escapemeridian.com/readings/arxiv-cs-ai-researchers-propose-a-hybrid-memory-design-for-367213a1"},"source":{"type":"source","id":"https://arxiv.org/abs/2610.41850","revision":"4532edd599ee56e41b3a071bdba3687216ed4c0b185e2f53c45d0cf76a6d9fb2","revisionKind":"sha256-source-text","title":"Dynamical Memory Transformer: Selective Recurrent Memories with Constant Cost Attention","url":"https://arxiv.org/abs/2610.41850"},"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."}