{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:6Z4X7TQE47YJAERH456KFVVNVY","short_pith_number":"pith:6Z4X7TQE","canonical_record":{"source":{"id":"2103.06419","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-03-11T02:32:59Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"27cea554f66d76b36973e554b106511d2ecc1e414d325d161c9d354649ff6240","abstract_canon_sha256":"d49f3159f292284575ac9e3632f22bf71e2549c9eb956f52de14c72037e58155"},"schema_version":"1.0"},"canonical_sha256":"f6797fce04e7f0901227e77ca2d6adae2a7570203c621499baf546036286ddda","source":{"kind":"arxiv","id":"2103.06419","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06419","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06419v3","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06419","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"pith_short_12","alias_value":"6Z4X7TQE47YJ","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"pith_short_16","alias_value":"6Z4X7TQE47YJAERH","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"pith_short_8","alias_value":"6Z4X7TQE","created_at":"2026-07-05T02:58:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:6Z4X7TQE47YJAERH456KFVVNVY","target":"record","payload":{"canonical_record":{"source":{"id":"2103.06419","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-03-11T02:32:59Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"27cea554f66d76b36973e554b106511d2ecc1e414d325d161c9d354649ff6240","abstract_canon_sha256":"d49f3159f292284575ac9e3632f22bf71e2549c9eb956f52de14c72037e58155"},"schema_version":"1.0"},"canonical_sha256":"f6797fce04e7f0901227e77ca2d6adae2a7570203c621499baf546036286ddda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:58:40.285535Z","signature_b64":"oj0I2Hj/dkNleoyCJtuAN9wcqJka/q1x6lZl4Q6unmAHrsngxwNq6izH8KD3HwcKu2CCKaI6ZQNJGJhoufloDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6797fce04e7f0901227e77ca2d6adae2a7570203c621499baf546036286ddda","last_reissued_at":"2026-07-05T02:58:40.285104Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:58:40.285104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.06419","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:58:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n62rMA0iVdn9QMnF0p+1RkU5hOhQGmZ63CTR0WE2jfVXOZ4yuoRIOMuwX6IAYMOKsdhbSu1q9irWZbGvHtIHAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:14:32.489760Z"},"content_sha256":"015a1c5e8d0a28603c1b21faf855fa2add5cfaebcf01ab3ef2244b47c22e7cdd","schema_version":"1.0","event_id":"sha256:015a1c5e8d0a28603c1b21faf855fa2add5cfaebcf01ab3ef2244b47c22e7cdd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:6Z4X7TQE47YJAERH456KFVVNVY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Changfa Shi, Haiying Wang, Jinke Wang, Peiqing Lv","submitted_at":"2021-03-11T02:32:59Z","abstract_excerpt":"Background and objective: In this paper, a modified U-Net based framework is presented, which leverages techniques from Squeeze-and-Excitation (SE) block, Atrous Spatial Pyramid Pooling (ASPP) and residual learning for accurate and robust liver CT segmentation, and the effectiveness of the proposed method was tested on two public datasets LiTS17 and SLiver07.\n  Methods: A new network architecture called SAR-U-Net was designed. Firstly, the SE block is introduced to adaptively extract image features after each convolution in the U-Net encoder, while suppressing irrelevant regions, and highlight"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06419","kind":"arxiv","version":3},"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/2103.06419/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":"2026-07-05T02:58:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F68BOmjAVb9KfVJShIe0/4fKUevsxKb8v+Gt+hBsFHXEgZJUoBhkhGMxiYYIAmjC/14VoSbpnNp3lClBVycrAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:14:32.490306Z"},"content_sha256":"039484ee68fee06225169323defda169809a82dc4cf2c48bfb72f4bcd92dd217","schema_version":"1.0","event_id":"sha256:039484ee68fee06225169323defda169809a82dc4cf2c48bfb72f4bcd92dd217"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6Z4X7TQE47YJAERH456KFVVNVY/bundle.json","state_url":"https://pith.science/pith/6Z4X7TQE47YJAERH456KFVVNVY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6Z4X7TQE47YJAERH456KFVVNVY/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":"2026-08-21T03:14:32Z","links":{"resolver":"https://pith.science/pith/6Z4X7TQE47YJAERH456KFVVNVY","bundle":"https://pith.science/pith/6Z4X7TQE47YJAERH456KFVVNVY/bundle.json","state":"https://pith.science/pith/6Z4X7TQE47YJAERH456KFVVNVY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6Z4X7TQE47YJAERH456KFVVNVY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6Z4X7TQE47YJAERH456KFVVNVY","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":"d49f3159f292284575ac9e3632f22bf71e2549c9eb956f52de14c72037e58155","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-03-11T02:32:59Z","title_canon_sha256":"27cea554f66d76b36973e554b106511d2ecc1e414d325d161c9d354649ff6240"},"schema_version":"1.0","source":{"id":"2103.06419","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06419","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06419v3","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06419","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"pith_short_12","alias_value":"6Z4X7TQE47YJ","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"pith_short_16","alias_value":"6Z4X7TQE47YJAERH","created_at":"2026-07-05T02:58:40Z"},{"alias_kind":"pith_short_8","alias_value":"6Z4X7TQE","created_at":"2026-07-05T02:58:40Z"}],"graph_snapshots":[{"event_id":"sha256:039484ee68fee06225169323defda169809a82dc4cf2c48bfb72f4bcd92dd217","target":"graph","created_at":"2026-07-05T02:58:40Z","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/2103.06419/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background and objective: In this paper, a modified U-Net based framework is presented, which leverages techniques from Squeeze-and-Excitation (SE) block, Atrous Spatial Pyramid Pooling (ASPP) and residual learning for accurate and robust liver CT segmentation, and the effectiveness of the proposed method was tested on two public datasets LiTS17 and SLiver07.\n  Methods: A new network architecture called SAR-U-Net was designed. Firstly, the SE block is introduced to adaptively extract image features after each convolution in the U-Net encoder, while suppressing irrelevant regions, and highlight","authors_text":"Changfa Shi, Haiying Wang, Jinke Wang, Peiqing Lv","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-03-11T02:32:59Z","title":"SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06419","kind":"arxiv","version":3},"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":"sha256:015a1c5e8d0a28603c1b21faf855fa2add5cfaebcf01ab3ef2244b47c22e7cdd","target":"record","created_at":"2026-07-05T02:58:40Z","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":"d49f3159f292284575ac9e3632f22bf71e2549c9eb956f52de14c72037e58155","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-03-11T02:32:59Z","title_canon_sha256":"27cea554f66d76b36973e554b106511d2ecc1e414d325d161c9d354649ff6240"},"schema_version":"1.0","source":{"id":"2103.06419","kind":"arxiv","version":3}},"canonical_sha256":"f6797fce04e7f0901227e77ca2d6adae2a7570203c621499baf546036286ddda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6797fce04e7f0901227e77ca2d6adae2a7570203c621499baf546036286ddda","first_computed_at":"2026-07-05T02:58:40.285104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:58:40.285104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oj0I2Hj/dkNleoyCJtuAN9wcqJka/q1x6lZl4Q6unmAHrsngxwNq6izH8KD3HwcKu2CCKaI6ZQNJGJhoufloDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:58:40.285535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.06419","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:015a1c5e8d0a28603c1b21faf855fa2add5cfaebcf01ab3ef2244b47c22e7cdd","sha256:039484ee68fee06225169323defda169809a82dc4cf2c48bfb72f4bcd92dd217"],"state_sha256":"b7896ff86f01b171e428b18e33d1508a0452907c45410c3c712ca96704f2426b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wgJaAv/453QS8BD2zm1xoA1kWm9pNLNO7mxdlWuES3O9BtkqTjxQoWxoMRbUt7xU3UBHuEBJH1R43A9fZcV0Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T03:14:32.494862Z","bundle_sha256":"53aca1edfdd59eec62a34fd7e9878b72834a43ae3ddc3637bf0f37ee4111f28c"}}