{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:H5745O6RJHS57GPQRCJJU6SBX7","short_pith_number":"pith:H5745O6R","canonical_record":{"source":{"id":"2401.13049","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-23T19:17:20Z","cross_cats_sorted":["cs.AI","cs.CV","cs.GT","cs.LG"],"title_canon_sha256":"3b2a36a1fe14a42894ffe557e872574c998c94b43350489fa2626be6fc737a9b","abstract_canon_sha256":"26fadc9b5a7eaf9c8f3a98cc28c0eb69ece0a27ae12042dad7e49b8fb66ce7fb"},"schema_version":"1.0"},"canonical_sha256":"3f7fcebbd149e5df99f088929a7a41bfc420e5e82baa94473529ca1d560d8845","source":{"kind":"arxiv","id":"2401.13049","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.13049","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"arxiv_version","alias_value":"2401.13049v1","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13049","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"pith_short_12","alias_value":"H5745O6RJHS5","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"pith_short_16","alias_value":"H5745O6RJHS57GPQ","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"pith_short_8","alias_value":"H5745O6R","created_at":"2026-07-05T07:36:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:H5745O6RJHS57GPQRCJJU6SBX7","target":"record","payload":{"canonical_record":{"source":{"id":"2401.13049","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-23T19:17:20Z","cross_cats_sorted":["cs.AI","cs.CV","cs.GT","cs.LG"],"title_canon_sha256":"3b2a36a1fe14a42894ffe557e872574c998c94b43350489fa2626be6fc737a9b","abstract_canon_sha256":"26fadc9b5a7eaf9c8f3a98cc28c0eb69ece0a27ae12042dad7e49b8fb66ce7fb"},"schema_version":"1.0"},"canonical_sha256":"3f7fcebbd149e5df99f088929a7a41bfc420e5e82baa94473529ca1d560d8845","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:36:59.821311Z","signature_b64":"9begkrPSaUoOwDreJsvNkx1J4BGBqJhInutL1kCf1qf54lXQHAnu5hrZca11LQpGtr7+V44j2ri3bf4oDF8hDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f7fcebbd149e5df99f088929a7a41bfc420e5e82baa94473529ca1d560d8845","last_reissued_at":"2026-07-05T07:36:59.820769Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:36:59.820769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.13049","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":"2026-07-05T07:36:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jdfYwJMLVUeuioV0GU46u0GpKJA0mUkWyQwKt28XUUqPBvXNA+BV1DmYbzeB7l1QS4xPTJ/cSak6SMeh18YIAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:54:51.478749Z"},"content_sha256":"3ab19b391c7fb6242d83ccd2e2b479676085a9005615c8347bfb8884e5247ea6","schema_version":"1.0","event_id":"sha256:3ab19b391c7fb6242d83ccd2e2b479676085a9005615c8347bfb8884e5247ea6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:H5745O6RJHS57GPQRCJJU6SBX7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.GT","cs.LG"],"primary_cat":"eess.IV","authors_text":"Amarjeet Kumar, Benjamin Shickel, Brian Fazzone, Chelsea Viscardi, Jonathan R Krebs, Michol A Cooper, Muhammad Imran, Robert Evans Heithaus, Veera Rajasekhar Reddy Gopu, Vishal Balaji Sivaraman, Wei Shao, Yuyin Zhou","submitted_at":"2024-01-23T19:17:20Z","abstract_excerpt":"Advancements in medical imaging and endovascular grafting have facilitated minimally invasive treatments for aortic diseases. Accurate 3D segmentation of the aorta and its branches is crucial for interventions, as inaccurate segmentation can lead to erroneous surgical planning and endograft construction. Previous methods simplified aortic segmentation as a binary image segmentation problem, overlooking the necessity of distinguishing between individual aortic branches. In this paper, we introduce Context Infused Swin-UNet (CIS-UNet), a deep learning model designed for multi-class segmentation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13049","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/2401.13049/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":"2026-07-05T07:36:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FX6z7oRzaK2bxgWmvzeUQco0kW7NkFf0cTpKdGbz95fPTdu/ERxBiYUNpUPNzlWaO4zo2quSco7bwbUZepqeAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:54:51.479128Z"},"content_sha256":"47a0e962c8b4a468516ab13f3703af696b29f8907a2fac88c13e8890b14b20a9","schema_version":"1.0","event_id":"sha256:47a0e962c8b4a468516ab13f3703af696b29f8907a2fac88c13e8890b14b20a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H5745O6RJHS57GPQRCJJU6SBX7/bundle.json","state_url":"https://pith.science/pith/H5745O6RJHS57GPQRCJJU6SBX7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H5745O6RJHS57GPQRCJJU6SBX7/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":"2026-07-07T15:54:51Z","links":{"resolver":"https://pith.science/pith/H5745O6RJHS57GPQRCJJU6SBX7","bundle":"https://pith.science/pith/H5745O6RJHS57GPQRCJJU6SBX7/bundle.json","state":"https://pith.science/pith/H5745O6RJHS57GPQRCJJU6SBX7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H5745O6RJHS57GPQRCJJU6SBX7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H5745O6RJHS57GPQRCJJU6SBX7","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":"26fadc9b5a7eaf9c8f3a98cc28c0eb69ece0a27ae12042dad7e49b8fb66ce7fb","cross_cats_sorted":["cs.AI","cs.CV","cs.GT","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-23T19:17:20Z","title_canon_sha256":"3b2a36a1fe14a42894ffe557e872574c998c94b43350489fa2626be6fc737a9b"},"schema_version":"1.0","source":{"id":"2401.13049","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.13049","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"arxiv_version","alias_value":"2401.13049v1","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13049","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"pith_short_12","alias_value":"H5745O6RJHS5","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"pith_short_16","alias_value":"H5745O6RJHS57GPQ","created_at":"2026-07-05T07:36:59Z"},{"alias_kind":"pith_short_8","alias_value":"H5745O6R","created_at":"2026-07-05T07:36:59Z"}],"graph_snapshots":[{"event_id":"sha256:47a0e962c8b4a468516ab13f3703af696b29f8907a2fac88c13e8890b14b20a9","target":"graph","created_at":"2026-07-05T07:36:59Z","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/2401.13049/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Advancements in medical imaging and endovascular grafting have facilitated minimally invasive treatments for aortic diseases. Accurate 3D segmentation of the aorta and its branches is crucial for interventions, as inaccurate segmentation can lead to erroneous surgical planning and endograft construction. Previous methods simplified aortic segmentation as a binary image segmentation problem, overlooking the necessity of distinguishing between individual aortic branches. In this paper, we introduce Context Infused Swin-UNet (CIS-UNet), a deep learning model designed for multi-class segmentation ","authors_text":"Amarjeet Kumar, Benjamin Shickel, Brian Fazzone, Chelsea Viscardi, Jonathan R Krebs, Michol A Cooper, Muhammad Imran, Robert Evans Heithaus, Veera Rajasekhar Reddy Gopu, Vishal Balaji Sivaraman, Wei Shao, Yuyin Zhou","cross_cats":["cs.AI","cs.CV","cs.GT","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-23T19:17:20Z","title":"CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13049","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":"sha256:3ab19b391c7fb6242d83ccd2e2b479676085a9005615c8347bfb8884e5247ea6","target":"record","created_at":"2026-07-05T07:36:59Z","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":"26fadc9b5a7eaf9c8f3a98cc28c0eb69ece0a27ae12042dad7e49b8fb66ce7fb","cross_cats_sorted":["cs.AI","cs.CV","cs.GT","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-23T19:17:20Z","title_canon_sha256":"3b2a36a1fe14a42894ffe557e872574c998c94b43350489fa2626be6fc737a9b"},"schema_version":"1.0","source":{"id":"2401.13049","kind":"arxiv","version":1}},"canonical_sha256":"3f7fcebbd149e5df99f088929a7a41bfc420e5e82baa94473529ca1d560d8845","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f7fcebbd149e5df99f088929a7a41bfc420e5e82baa94473529ca1d560d8845","first_computed_at":"2026-07-05T07:36:59.820769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:36:59.820769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9begkrPSaUoOwDreJsvNkx1J4BGBqJhInutL1kCf1qf54lXQHAnu5hrZca11LQpGtr7+V44j2ri3bf4oDF8hDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:36:59.821311Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.13049","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ab19b391c7fb6242d83ccd2e2b479676085a9005615c8347bfb8884e5247ea6","sha256:47a0e962c8b4a468516ab13f3703af696b29f8907a2fac88c13e8890b14b20a9"],"state_sha256":"e2c6515baa7cabff331c9bdccb9495aaa21bda83b50daf411ff84a8e7abcc121"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OaylAKOWbK+xWf0vsokkFAkBhhN18uosw4v2iTFu11YE36fggijNe3NZBCCHP0h1VQXwMTyuGvEwB+8zgDvnDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:54:51.481100Z","bundle_sha256":"c3bf1487dd9897cca48e17f5ecd788702d333ea67d4e81f251f18ddf872b3dc2"}}