{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OVSXTVXR5ZVTCTN3TI34IHPOM7","short_pith_number":"pith:OVSXTVXR","canonical_record":{"source":{"id":"2606.24214","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T06:59:34Z","cross_cats_sorted":[],"title_canon_sha256":"fe517c857b6db9ba21bbd3499fd676ed48446ab5195a0dc75091e37bdf4db141","abstract_canon_sha256":"c708741dd2f7aef37f356ea03a91794d4e6c2ba1f020ba252bf9f4d3e46570a8"},"schema_version":"1.0"},"canonical_sha256":"756579d6f1ee6b314dbb9a37c41dee67cb0e2c2dc870f3c1309ace6756f704a7","source":{"kind":"arxiv","id":"2606.24214","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24214","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24214v1","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24214","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"pith_short_12","alias_value":"OVSXTVXR5ZVT","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"pith_short_16","alias_value":"OVSXTVXR5ZVTCTN3","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"pith_short_8","alias_value":"OVSXTVXR","created_at":"2026-06-24T01:14:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OVSXTVXR5ZVTCTN3TI34IHPOM7","target":"record","payload":{"canonical_record":{"source":{"id":"2606.24214","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T06:59:34Z","cross_cats_sorted":[],"title_canon_sha256":"fe517c857b6db9ba21bbd3499fd676ed48446ab5195a0dc75091e37bdf4db141","abstract_canon_sha256":"c708741dd2f7aef37f356ea03a91794d4e6c2ba1f020ba252bf9f4d3e46570a8"},"schema_version":"1.0"},"canonical_sha256":"756579d6f1ee6b314dbb9a37c41dee67cb0e2c2dc870f3c1309ace6756f704a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T01:14:46.532726Z","signature_b64":"hgTb+pGjgb0CziMUOCpx+DVCBIWdMYDyFQXx2YAKgyxWmQQM9HjDOCqTgQWLEIux0hEX18EUUaaZ4t0QR+y7CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"756579d6f1ee6b314dbb9a37c41dee67cb0e2c2dc870f3c1309ace6756f704a7","last_reissued_at":"2026-06-24T01:14:46.532323Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T01:14:46.532323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.24214","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":"2026-06-24T01:14:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oPyECC+dt3JHPfEA/RJ7HEl6/6tLgwMoYerkTmLQnPUQYTnSNeYhYJysGWCxwuYonTG/1TOy3uxUw7Lq5krQDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T12:50:40.098530Z"},"content_sha256":"355fbbc9aa8e472aea3eaa5923c12e43577e97996f510070d44702b8b22aa52c","schema_version":"1.0","event_id":"sha256:355fbbc9aa8e472aea3eaa5923c12e43577e97996f510070d44702b8b22aa52c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OVSXTVXR5ZVTCTN3TI34IHPOM7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Beining Wu, Feiwei Qin, Fuyou Mao, Hao Zhang, Huiyu Zhou, Jinnan Dai, Lixin Lin, Yan Tang, Yaqi Wang, Yifei Chen, Yilei Chen, Zhiling Li","submitted_at":"2026-06-23T06:59:34Z","abstract_excerpt":"Accurate pulmonary vessel segmentation remains challenging due to the sparse, tortuous, and multi-scale nature of vascular structures, where small branches are easily lost and topology integrity is difficult to preserve under voxel-wise supervision. Existing deep segmentation models primarily optimize binary masks, lacking explicit geometric constraints, thus struggling to recover continuous tubular morphology and fine vascular connectivity. In this study, we introduce MorVess, a morphology-aware segmentation framework that integrates differentiable geometric priors with large-scale foundation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24214","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/2606.24214/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":"2026-06-24T01:14:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XzaeQ2aon6uDzCM0u+fnXM40MutVO5SDC9ekjgbSZ1kgBkiKdu4sFnNfStqNSQWV0x5Ycqu+jPnoy6cyFWQPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T12:50:40.098894Z"},"content_sha256":"7fc89899300b39d3f8d1057dc56dd53e37f41748a4f69216efd26926fcd48756","schema_version":"1.0","event_id":"sha256:7fc89899300b39d3f8d1057dc56dd53e37f41748a4f69216efd26926fcd48756"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OVSXTVXR5ZVTCTN3TI34IHPOM7/bundle.json","state_url":"https://pith.science/pith/OVSXTVXR5ZVTCTN3TI34IHPOM7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OVSXTVXR5ZVTCTN3TI34IHPOM7/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":"2026-07-03T12:50:40Z","links":{"resolver":"https://pith.science/pith/OVSXTVXR5ZVTCTN3TI34IHPOM7","bundle":"https://pith.science/pith/OVSXTVXR5ZVTCTN3TI34IHPOM7/bundle.json","state":"https://pith.science/pith/OVSXTVXR5ZVTCTN3TI34IHPOM7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OVSXTVXR5ZVTCTN3TI34IHPOM7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OVSXTVXR5ZVTCTN3TI34IHPOM7","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":"c708741dd2f7aef37f356ea03a91794d4e6c2ba1f020ba252bf9f4d3e46570a8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T06:59:34Z","title_canon_sha256":"fe517c857b6db9ba21bbd3499fd676ed48446ab5195a0dc75091e37bdf4db141"},"schema_version":"1.0","source":{"id":"2606.24214","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24214","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24214v1","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24214","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"pith_short_12","alias_value":"OVSXTVXR5ZVT","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"pith_short_16","alias_value":"OVSXTVXR5ZVTCTN3","created_at":"2026-06-24T01:14:46Z"},{"alias_kind":"pith_short_8","alias_value":"OVSXTVXR","created_at":"2026-06-24T01:14:46Z"}],"graph_snapshots":[{"event_id":"sha256:7fc89899300b39d3f8d1057dc56dd53e37f41748a4f69216efd26926fcd48756","target":"graph","created_at":"2026-06-24T01:14:46Z","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/2606.24214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate pulmonary vessel segmentation remains challenging due to the sparse, tortuous, and multi-scale nature of vascular structures, where small branches are easily lost and topology integrity is difficult to preserve under voxel-wise supervision. Existing deep segmentation models primarily optimize binary masks, lacking explicit geometric constraints, thus struggling to recover continuous tubular morphology and fine vascular connectivity. In this study, we introduce MorVess, a morphology-aware segmentation framework that integrates differentiable geometric priors with large-scale foundation","authors_text":"Beining Wu, Feiwei Qin, Fuyou Mao, Hao Zhang, Huiyu Zhou, Jinnan Dai, Lixin Lin, Yan Tang, Yaqi Wang, Yifei Chen, Yilei Chen, Zhiling Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T06:59:34Z","title":"MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24214","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":"sha256:355fbbc9aa8e472aea3eaa5923c12e43577e97996f510070d44702b8b22aa52c","target":"record","created_at":"2026-06-24T01:14:46Z","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":"c708741dd2f7aef37f356ea03a91794d4e6c2ba1f020ba252bf9f4d3e46570a8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T06:59:34Z","title_canon_sha256":"fe517c857b6db9ba21bbd3499fd676ed48446ab5195a0dc75091e37bdf4db141"},"schema_version":"1.0","source":{"id":"2606.24214","kind":"arxiv","version":1}},"canonical_sha256":"756579d6f1ee6b314dbb9a37c41dee67cb0e2c2dc870f3c1309ace6756f704a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"756579d6f1ee6b314dbb9a37c41dee67cb0e2c2dc870f3c1309ace6756f704a7","first_computed_at":"2026-06-24T01:14:46.532323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-24T01:14:46.532323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hgTb+pGjgb0CziMUOCpx+DVCBIWdMYDyFQXx2YAKgyxWmQQM9HjDOCqTgQWLEIux0hEX18EUUaaZ4t0QR+y7CA==","signature_status":"signed_v1","signed_at":"2026-06-24T01:14:46.532726Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.24214","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:355fbbc9aa8e472aea3eaa5923c12e43577e97996f510070d44702b8b22aa52c","sha256:7fc89899300b39d3f8d1057dc56dd53e37f41748a4f69216efd26926fcd48756"],"state_sha256":"17b9329d4d5f537fd20893a991b46345c3cc968b1f62a4c9e174b8c70758ab7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6W0aVZlJ3XJXVXHuboW3MLa3UVf1ffLtACOIDD+Am7XmrxdUxOGCdZHi0B6ZcOfaCzYKIH93N6TopOBK6cbUBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T12:50:40.100829Z","bundle_sha256":"759686f68d07f4f1c6fe136d8a67af15c08403044bbc98c55b9ad8bd5be279fb"}}