{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KAHWL3FWBPPH37SDEOBRDEN35V","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f8ddf3a97e414a61341836f6896a9a271214d5af400ed3e48a983281b31cf0a7","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-05-12T09:30:26Z","title_canon_sha256":"32d6980f348bce1ac669c2bb5e6af6334ef7588100dafb9a1c915efe52111e60"},"schema_version":"1.0","source":{"id":"2105.05537","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.05537","created_at":"2026-07-05T02:39:52Z"},{"alias_kind":"arxiv_version","alias_value":"2105.05537v1","created_at":"2026-07-05T02:39:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.05537","created_at":"2026-07-05T02:39:52Z"},{"alias_kind":"pith_short_12","alias_value":"KAHWL3FWBPPH","created_at":"2026-07-05T02:39:52Z"},{"alias_kind":"pith_short_16","alias_value":"KAHWL3FWBPPH37SD","created_at":"2026-07-05T02:39:52Z"},{"alias_kind":"pith_short_8","alias_value":"KAHWL3FW","created_at":"2026-07-05T02:39:52Z"}],"graph_snapshots":[{"event_id":"sha256:27cc95edc15ea0d66faa318b9ddc86c6401c7411be227c68f7205e452960fe3f","target":"graph","created_at":"2026-07-05T02:39:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2105.05537/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical image tasks. However, although CNN has achieved excellent performance, it cannot learn global and long-range semantic information interaction well due to the locality of the convolution operation. In this paper, we propose Swin-Unet, which is an Unet-like pure Transformer for medical image segmentation. The tokenized image patches are fed into the ","authors_text":"Dongsheng Jiang, Hu Cao, Joy Chen, Manning Wang, Qi Tian, Xiaopeng Zhang, Yueyue Wang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-05-12T09:30:26Z","title":"Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.05537","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:755c6b796b18e36b7071ce499ef524443b36a2e5863fb620993672a4c710ba32","target":"record","created_at":"2026-07-05T02:39:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f8ddf3a97e414a61341836f6896a9a271214d5af400ed3e48a983281b31cf0a7","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-05-12T09:30:26Z","title_canon_sha256":"32d6980f348bce1ac669c2bb5e6af6334ef7588100dafb9a1c915efe52111e60"},"schema_version":"1.0","source":{"id":"2105.05537","kind":"arxiv","version":1}},"canonical_sha256":"500f65ecb60bde7dfe4323831191bbed61e3c3929dbf47beb3b85b72f00ba9cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"500f65ecb60bde7dfe4323831191bbed61e3c3929dbf47beb3b85b72f00ba9cf","first_computed_at":"2026-07-05T02:39:52.097794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:39:52.097794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/H91e3zbLPj1Oo6rW0q3coXuNj9ibGicrxwSv7mlaqfgHm/wEOjxraiHC1zz3E0GepHuBEGhM+I/6F5xxpWODw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:39:52.098198Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.05537","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:755c6b796b18e36b7071ce499ef524443b36a2e5863fb620993672a4c710ba32","sha256:27cc95edc15ea0d66faa318b9ddc86c6401c7411be227c68f7205e452960fe3f"],"state_sha256":"dcaa098e73393f2aa1019e5cc3940cc9acd4c0d23615fe729e0266f2f67f7fe2"}