{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FCJQTSNW7VER5FK4I4R3R37LAL","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":"e2d5d11f3eb69d3e70762492bd15691ed737f9c67b845f11ba6b9ca3b6f0c8d5","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2023-11-22T21:51:29Z","title_canon_sha256":"553c225e25154b84c9ae0eca1b21aca0582a31be870a8101aefacdf73bcde326"},"schema_version":"1.0","source":{"id":"2311.13706","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.13706","created_at":"2026-07-05T11:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2311.13706v3","created_at":"2026-07-05T11:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.13706","created_at":"2026-07-05T11:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"FCJQTSNW7VER","created_at":"2026-07-05T11:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"FCJQTSNW7VER5FK4","created_at":"2026-07-05T11:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"FCJQTSNW","created_at":"2026-07-05T11:04:35Z"}],"graph_snapshots":[{"event_id":"sha256:5b724eb83543077593295f6ebd6bf95be929b90bd3da8f229b72dad64d6a5d96","target":"graph","created_at":"2026-07-05T11:04:35Z","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/2311.13706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cardiovascular magnetic resonance imaging is emerging as a crucial tool to examine cardiac morphology and function. Essential to this endeavour are anatomical 3D surface and volumetric meshes derived from CMR images, which facilitate computational anatomy studies, biomarker discovery, and in-silico simulations. Traditional approaches typically follow complex multi-step pipelines, first segmenting images and then reconstructing meshes, making them time-consuming and prone to error propagation. In response, we introduce HybridVNet, a novel architecture for direct image-to-mesh extraction seamles","authors_text":"Alejandro F. Frangi, Benjamin A. Matheson, Diego H. Milone, Enzo Ferrante, Nicol\\'as Gaggion, Nishant Ravikumar, Rodrigo Bonazzola, Yan Xia, Zeike A. Taylor","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2023-11-22T21:51:29Z","title":"Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.13706","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":"sha256:36c68483aeeff1fff4725c5fa7292379833ab68867ad6ea537c9f22bdfc050a4","target":"record","created_at":"2026-07-05T11:04:35Z","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":"e2d5d11f3eb69d3e70762492bd15691ed737f9c67b845f11ba6b9ca3b6f0c8d5","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2023-11-22T21:51:29Z","title_canon_sha256":"553c225e25154b84c9ae0eca1b21aca0582a31be870a8101aefacdf73bcde326"},"schema_version":"1.0","source":{"id":"2311.13706","kind":"arxiv","version":3}},"canonical_sha256":"289309c9b6fd491e955c4723b8efeb02cf28a1c6546ab98debe30b653009987b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"289309c9b6fd491e955c4723b8efeb02cf28a1c6546ab98debe30b653009987b","first_computed_at":"2026-07-05T11:04:35.021713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:35.021713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lf9OV1roIZptTtbU8td+ifQBGpWyzIX6Ej30JvF4fFXEDVHLHq+Wi8D7G9/TVnNbDOuVTyhugmTyAcn6Rz8+DA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:35.022271Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.13706","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36c68483aeeff1fff4725c5fa7292379833ab68867ad6ea537c9f22bdfc050a4","sha256:5b724eb83543077593295f6ebd6bf95be929b90bd3da8f229b72dad64d6a5d96"],"state_sha256":"e4c64e6c2f66af37d38e32c444091388d1a79b1bfd06315a341f9f6a127724b5"}