{"schemaVersion":1,"target":{"type":"reading","id":"af4d6269aaae36b89c1b72dba1d8cd3c146879e33bfdacba216f6ac018ba5a44","revision":"4b25aa68-bec3-4ba5-81af-9416f942ed8b","revisionKind":"publication-id","title":"arXiv authors: One2N recursively refines Earth-system AI models","url":"https://escapemeridian.com/readings/arxiv-authors-one2n-recursively-refines-earth-system-ai-models-af4d6269"},"source":{"type":"source","id":"https://arxiv.org/abs/2611.12249","revision":"12a46a6dcb01de3750481c01c6704867f39d8b2aca5199d86d96da7515f6ffd0","revisionKind":"sha256-source-text","title":"One2N: Recursive refinement breaks the resolution barrier for Earth-system AI","url":"https://arxiv.org/abs/2611.12249"},"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."}