{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GO4OEM7M7WREWOZ4XM56IMD5IB","short_pith_number":"pith:GO4OEM7M","canonical_record":{"source":{"id":"2207.11553","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-23T16:55:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e737395b0ca5c09dfd3dcae6cf55fef4823ee4f64dc8ba835f0ed20115e73508","abstract_canon_sha256":"ffd42560f52be0d11147fb409e8996a237b3dd4024a2bca44c0ea5a4c042ceff"},"schema_version":"1.0"},"canonical_sha256":"33b8e233ecfda24b3b3cbb3be4307d405e7215cb8d154b633750249ebe986224","source":{"kind":"arxiv","id":"2207.11553","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11553","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11553v1","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11553","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_12","alias_value":"GO4OEM7M7WRE","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_16","alias_value":"GO4OEM7M7WREWOZ4","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_8","alias_value":"GO4OEM7M","created_at":"2026-07-05T04:43:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GO4OEM7M7WREWOZ4XM56IMD5IB","target":"record","payload":{"canonical_record":{"source":{"id":"2207.11553","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-23T16:55:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e737395b0ca5c09dfd3dcae6cf55fef4823ee4f64dc8ba835f0ed20115e73508","abstract_canon_sha256":"ffd42560f52be0d11147fb409e8996a237b3dd4024a2bca44c0ea5a4c042ceff"},"schema_version":"1.0"},"canonical_sha256":"33b8e233ecfda24b3b3cbb3be4307d405e7215cb8d154b633750249ebe986224","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:43:06.813295Z","signature_b64":"wGNQ4ZtF9RAtZ9ZBcNi2NaZL41XCemUGWYPS/5sH/+nCdhzHH+8t88vsjSiE6EMsa0kk7MDGPZU3Bp/QOWGqAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33b8e233ecfda24b3b3cbb3be4307d405e7215cb8d154b633750249ebe986224","last_reissued_at":"2026-07-05T04:43:06.812930Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:43:06.812930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.11553","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:43:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lq4QOf/BFfmuxsUVqTPy3nWBqrMBB7ax3ee/3Sb/0lqWi+cXUzERP9ql1vjqD4sMpwpaDqfdT910OuOrIsN1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:45:24.092602Z"},"content_sha256":"c59daa88deb5781ea088c17472750671844f3fa87d8aa8754bbba53afdc20f21","schema_version":"1.0","event_id":"sha256:c59daa88deb5781ea088c17472750671844f3fa87d8aa8754bbba53afdc20f21"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GO4OEM7M7WREWOZ4XM56IMD5IB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High-Resolution Swin Transformer for Automatic Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chen Wei, Haihong Hu, Jimin Liang, Kaitai Guo, Shenghan Ren","submitted_at":"2022-07-23T16:55:37Z","abstract_excerpt":"The Resolution of feature maps is critical for medical image segmentation. Most of the existing Transformer-based networks for medical image segmentation are U-Net-like architecture that contains an encoder that utilizes a sequence of Transformer blocks to convert the input medical image from high-resolution representation into low-resolution feature maps and a decoder that gradually recovers the high-resolution representation from low-resolution feature maps. Unlike previous studies, in this paper, we utilize the network design style from the High-Resolution Network (HRNet), replace the convo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11553","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2207.11553/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:43:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sfVQt1KqI2pl2pVlm1SEu4TgafjMsZNSDA12OCm/NQKWrjpNVyxtZbqmJ8CnU4oKTzKIDmSW/9Qew+wD277KDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:45:24.093275Z"},"content_sha256":"a41be698981e3af2dfb130a35611cf514f89116ab61ce2e66eb9e9426f1d3cd9","schema_version":"1.0","event_id":"sha256:a41be698981e3af2dfb130a35611cf514f89116ab61ce2e66eb9e9426f1d3cd9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GO4OEM7M7WREWOZ4XM56IMD5IB/bundle.json","state_url":"https://pith.science/pith/GO4OEM7M7WREWOZ4XM56IMD5IB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GO4OEM7M7WREWOZ4XM56IMD5IB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-08T07:45:24Z","links":{"resolver":"https://pith.science/pith/GO4OEM7M7WREWOZ4XM56IMD5IB","bundle":"https://pith.science/pith/GO4OEM7M7WREWOZ4XM56IMD5IB/bundle.json","state":"https://pith.science/pith/GO4OEM7M7WREWOZ4XM56IMD5IB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GO4OEM7M7WREWOZ4XM56IMD5IB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GO4OEM7M7WREWOZ4XM56IMD5IB","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":"ffd42560f52be0d11147fb409e8996a237b3dd4024a2bca44c0ea5a4c042ceff","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-23T16:55:37Z","title_canon_sha256":"e737395b0ca5c09dfd3dcae6cf55fef4823ee4f64dc8ba835f0ed20115e73508"},"schema_version":"1.0","source":{"id":"2207.11553","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11553","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11553v1","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11553","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_12","alias_value":"GO4OEM7M7WRE","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_16","alias_value":"GO4OEM7M7WREWOZ4","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_8","alias_value":"GO4OEM7M","created_at":"2026-07-05T04:43:06Z"}],"graph_snapshots":[{"event_id":"sha256:a41be698981e3af2dfb130a35611cf514f89116ab61ce2e66eb9e9426f1d3cd9","target":"graph","created_at":"2026-07-05T04:43:06Z","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/2207.11553/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Resolution of feature maps is critical for medical image segmentation. Most of the existing Transformer-based networks for medical image segmentation are U-Net-like architecture that contains an encoder that utilizes a sequence of Transformer blocks to convert the input medical image from high-resolution representation into low-resolution feature maps and a decoder that gradually recovers the high-resolution representation from low-resolution feature maps. Unlike previous studies, in this paper, we utilize the network design style from the High-Resolution Network (HRNet), replace the convo","authors_text":"Chen Wei, Haihong Hu, Jimin Liang, Kaitai Guo, Shenghan Ren","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-23T16:55:37Z","title":"High-Resolution Swin Transformer for Automatic Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11553","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:c59daa88deb5781ea088c17472750671844f3fa87d8aa8754bbba53afdc20f21","target":"record","created_at":"2026-07-05T04:43:06Z","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":"ffd42560f52be0d11147fb409e8996a237b3dd4024a2bca44c0ea5a4c042ceff","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-23T16:55:37Z","title_canon_sha256":"e737395b0ca5c09dfd3dcae6cf55fef4823ee4f64dc8ba835f0ed20115e73508"},"schema_version":"1.0","source":{"id":"2207.11553","kind":"arxiv","version":1}},"canonical_sha256":"33b8e233ecfda24b3b3cbb3be4307d405e7215cb8d154b633750249ebe986224","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33b8e233ecfda24b3b3cbb3be4307d405e7215cb8d154b633750249ebe986224","first_computed_at":"2026-07-05T04:43:06.812930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:43:06.812930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wGNQ4ZtF9RAtZ9ZBcNi2NaZL41XCemUGWYPS/5sH/+nCdhzHH+8t88vsjSiE6EMsa0kk7MDGPZU3Bp/QOWGqAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:43:06.813295Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.11553","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c59daa88deb5781ea088c17472750671844f3fa87d8aa8754bbba53afdc20f21","sha256:a41be698981e3af2dfb130a35611cf514f89116ab61ce2e66eb9e9426f1d3cd9"],"state_sha256":"b4af48b6bba22a3f5e23e6153cf07321d295992cbf19fa8d9c66e15fcb12f201"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XEV0caothxe4CI4WCA2qwXnK6z1DgJy2qHsaZzJXXNaPfhs1AZuXRRVBI//geL47KQiTbsvfAWq0COc6ivRwBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T07:45:24.097067Z","bundle_sha256":"ff4782198349b68d89c2dab33a8edac14469d0ee193fe7eacd0f32697408a149"}}