{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:P45E3GHLIC3UI55SQ5MCOP2LRE","short_pith_number":"pith:P45E3GHL","canonical_record":{"source":{"id":"2208.13774","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-29T02:24:02Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"265c41d31a927dbee433d05a090c27a58369d535d6858d5f4754b5d1185d28e1","abstract_canon_sha256":"2a67efd2d0110098aecc2f02ff58981bdf414f63647f83530e94554ebb1ebdb8"},"schema_version":"1.0"},"canonical_sha256":"7f3a4d98eb40b74477b28758273f4b8931c7012c91b459ef5ce663fdb3105b9f","source":{"kind":"arxiv","id":"2208.13774","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13774","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13774v1","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13774","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"pith_short_12","alias_value":"P45E3GHLIC3U","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"P45E3GHLIC3UI55S","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"P45E3GHL","created_at":"2026-07-05T05:27:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:P45E3GHLIC3UI55SQ5MCOP2LRE","target":"record","payload":{"canonical_record":{"source":{"id":"2208.13774","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-29T02:24:02Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"265c41d31a927dbee433d05a090c27a58369d535d6858d5f4754b5d1185d28e1","abstract_canon_sha256":"2a67efd2d0110098aecc2f02ff58981bdf414f63647f83530e94554ebb1ebdb8"},"schema_version":"1.0"},"canonical_sha256":"7f3a4d98eb40b74477b28758273f4b8931c7012c91b459ef5ce663fdb3105b9f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:27:59.730902Z","signature_b64":"aSCV4G9exfQbQby+2D3/iaAGPEwjlADOTcwy6EFfPL7JYUq5t9eVZ6c4c0ctCyrV6xA+rgh1EQc9boLqmz2uDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f3a4d98eb40b74477b28758273f4b8931c7012c91b459ef5ce663fdb3105b9f","last_reissued_at":"2026-07-05T05:27:59.730454Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:27:59.730454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.13774","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":"2026-07-05T05:27:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3FiYDeLsIKF+PeYHgDOw6x30vtSDXBD/MbaM85JDY0H/s9DI22VP7ZzNQ13mLzYouhAyagl1Gx7tPsFFRhPCDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:11:49.034695Z"},"content_sha256":"47222b17b5a076f353e1af4fd2ecb1353344c05b27ef9f3ab9fd57c42f1dac37","schema_version":"1.0","event_id":"sha256:47222b17b5a076f353e1af4fd2ecb1353344c05b27ef9f3ab9fd57c42f1dac37"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:P45E3GHLIC3UI55SQ5MCOP2LRE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Boundary-Aware Network for Abdominal Multi-Organ Segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Shishuai Hu, Yong Xia, Zehui Liao","submitted_at":"2022-08-29T02:24:02Z","abstract_excerpt":"Automated abdominal multi-organ segmentation is a crucial yet challenging task in the computer-aided diagnosis of abdominal organ-related diseases. Although numerous deep learning models have achieved remarkable success in many medical image segmentation tasks, accurate segmentation of abdominal organs remains challenging, due to the varying sizes of abdominal organs and the ambiguous boundaries among them. In this paper, we propose a boundary-aware network (BA-Net) to segment abdominal organs on CT scans and MRI scans. This model contains a shared encoder, a boundary decoder, and a segmentati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13774","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/2208.13774/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":"2026-07-05T05:27:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4wzn70GKxT6D6iEYd3hV/0jnOUw/ABWgJkBqKqcpL4REBCajnQDvxjjImUSNNhsi32TO0VoG0kceoOcqAqeQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:11:49.035191Z"},"content_sha256":"879c515d61281bfbc9a1496b8ed8cba563b6d5aaa0f9960a8cd0c9f598134809","schema_version":"1.0","event_id":"sha256:879c515d61281bfbc9a1496b8ed8cba563b6d5aaa0f9960a8cd0c9f598134809"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P45E3GHLIC3UI55SQ5MCOP2LRE/bundle.json","state_url":"https://pith.science/pith/P45E3GHLIC3UI55SQ5MCOP2LRE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P45E3GHLIC3UI55SQ5MCOP2LRE/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":"2026-08-09T07:11:49Z","links":{"resolver":"https://pith.science/pith/P45E3GHLIC3UI55SQ5MCOP2LRE","bundle":"https://pith.science/pith/P45E3GHLIC3UI55SQ5MCOP2LRE/bundle.json","state":"https://pith.science/pith/P45E3GHLIC3UI55SQ5MCOP2LRE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P45E3GHLIC3UI55SQ5MCOP2LRE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:P45E3GHLIC3UI55SQ5MCOP2LRE","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":"2a67efd2d0110098aecc2f02ff58981bdf414f63647f83530e94554ebb1ebdb8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-29T02:24:02Z","title_canon_sha256":"265c41d31a927dbee433d05a090c27a58369d535d6858d5f4754b5d1185d28e1"},"schema_version":"1.0","source":{"id":"2208.13774","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13774","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13774v1","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13774","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"pith_short_12","alias_value":"P45E3GHLIC3U","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"P45E3GHLIC3UI55S","created_at":"2026-07-05T05:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"P45E3GHL","created_at":"2026-07-05T05:27:59Z"}],"graph_snapshots":[{"event_id":"sha256:879c515d61281bfbc9a1496b8ed8cba563b6d5aaa0f9960a8cd0c9f598134809","target":"graph","created_at":"2026-07-05T05:27:59Z","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/2208.13774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated abdominal multi-organ segmentation is a crucial yet challenging task in the computer-aided diagnosis of abdominal organ-related diseases. Although numerous deep learning models have achieved remarkable success in many medical image segmentation tasks, accurate segmentation of abdominal organs remains challenging, due to the varying sizes of abdominal organs and the ambiguous boundaries among them. In this paper, we propose a boundary-aware network (BA-Net) to segment abdominal organs on CT scans and MRI scans. This model contains a shared encoder, a boundary decoder, and a segmentati","authors_text":"Shishuai Hu, Yong Xia, Zehui Liao","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-29T02:24:02Z","title":"Boundary-Aware Network for Abdominal Multi-Organ Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13774","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":"sha256:47222b17b5a076f353e1af4fd2ecb1353344c05b27ef9f3ab9fd57c42f1dac37","target":"record","created_at":"2026-07-05T05:27:59Z","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":"2a67efd2d0110098aecc2f02ff58981bdf414f63647f83530e94554ebb1ebdb8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-29T02:24:02Z","title_canon_sha256":"265c41d31a927dbee433d05a090c27a58369d535d6858d5f4754b5d1185d28e1"},"schema_version":"1.0","source":{"id":"2208.13774","kind":"arxiv","version":1}},"canonical_sha256":"7f3a4d98eb40b74477b28758273f4b8931c7012c91b459ef5ce663fdb3105b9f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f3a4d98eb40b74477b28758273f4b8931c7012c91b459ef5ce663fdb3105b9f","first_computed_at":"2026-07-05T05:27:59.730454Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:27:59.730454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aSCV4G9exfQbQby+2D3/iaAGPEwjlADOTcwy6EFfPL7JYUq5t9eVZ6c4c0ctCyrV6xA+rgh1EQc9boLqmz2uDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:27:59.730902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.13774","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47222b17b5a076f353e1af4fd2ecb1353344c05b27ef9f3ab9fd57c42f1dac37","sha256:879c515d61281bfbc9a1496b8ed8cba563b6d5aaa0f9960a8cd0c9f598134809"],"state_sha256":"c10c16b6f3cad579a50d122902a4f1c3cbe3f9cd244f37941c11d675e2a56d87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kgxCK0nD2yS6CozMHMX6AgDTNHvKkAGm/xZU5dPh30U8KAYaRhweO5Swba89CSmxmo2cI9UekgaFeUXyoTfkCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:11:49.040151Z","bundle_sha256":"a4dc0ebfbb18b7b9fc58b1bb06f2eae9a423dbcb70e4b6feb760234e08d30e64"}}