{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:7MR6A7B5XBCR47VZ2HEE2QPZU5","short_pith_number":"pith:7MR6A7B5","canonical_record":{"source":{"id":"2201.08279","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2022-01-20T16:30:17Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"75032b3ed162321195dfc1eaa5d89bcfcd883e31350300791355d964280ca9b1","abstract_canon_sha256":"518154ed27ea8277829b5d5add0a93b86c2d513cbd5a15f558d29329ab504c31"},"schema_version":"1.0"},"canonical_sha256":"fb23e07c3db8451e7eb9d1c84d41f9a7784fd7d6897921edbea16355e51d4171","source":{"kind":"arxiv","id":"2201.08279","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.08279","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"2201.08279v2","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.08279","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"7MR6A7B5XBCR","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"pith_short_16","alias_value":"7MR6A7B5XBCR47VZ","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"pith_short_8","alias_value":"7MR6A7B5","created_at":"2026-07-05T06:19:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:7MR6A7B5XBCR47VZ2HEE2QPZU5","target":"record","payload":{"canonical_record":{"source":{"id":"2201.08279","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2022-01-20T16:30:17Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"75032b3ed162321195dfc1eaa5d89bcfcd883e31350300791355d964280ca9b1","abstract_canon_sha256":"518154ed27ea8277829b5d5add0a93b86c2d513cbd5a15f558d29329ab504c31"},"schema_version":"1.0"},"canonical_sha256":"fb23e07c3db8451e7eb9d1c84d41f9a7784fd7d6897921edbea16355e51d4171","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:51.322700Z","signature_b64":"LL0O4X7TnvtfBpaJsdex4wSRAOU4e2zx/8SuHFhJfV7Ke4bXW5G6WXeeoEMgBdwn+q0OTPMPA9KB7VCZxgLzDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb23e07c3db8451e7eb9d1c84d41f9a7784fd7d6897921edbea16355e51d4171","last_reissued_at":"2026-07-05T06:19:51.322171Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:51.322171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.08279","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XDo9WeZTnfyxhuTQU0ysm+13O3m/RY0VVATexkxq2jkmT8074c+TfWPvIKzBtDPkWMAYlFCAZwbB1WrLL3+hBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:06:18.407607Z"},"content_sha256":"d3346a83c98632edfb072c324737f839aa2709ac01bf4fb1f9b21d70936a3f97","schema_version":"1.0","event_id":"sha256:d3346a83c98632edfb072c324737f839aa2709ac01bf4fb1f9b21d70936a3f97"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:7MR6A7B5XBCR47VZ2HEE2QPZU5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling and hexahedral meshing of cerebral arterial networks from centerlines","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CG","authors_text":"Carole Frindel, Guillaume Lavou\\'e, Makoto Ohta, M\\'eghane Decroocq, Pierre Roug\\'e","submitted_at":"2022-01-20T16:30:17Z","abstract_excerpt":"Computational fluid dynamics (CFD) simulation provides valuable information on blood flow from the vascular geometry. However, it requires extracting precise models of arteries from low-resolution medical images, which remains challenging. Centerline-based representation is widely used to model large vascular networks with small vessels, as it encodes both the geometric and topological information and facilitates manual editing. In this work, we propose an automatic method to generate a structured hexahedral mesh suitable for CFD directly from centerlines. We addressed both the modeling and me"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.08279","kind":"arxiv","version":2},"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/2201.08279/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":"2026-07-05T06:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0AHumSw6eWtHJ9LLoavkLyRx2RjqrxhL42O35mTc3nzJJi+nI6mEHpBPLRAB3GPCmICUbQvColU6qxb0uO6ZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:06:18.408029Z"},"content_sha256":"e016bc98f902c058cbd06047d030fff889f3a0f7eea5abdc920c37e8685708e2","schema_version":"1.0","event_id":"sha256:e016bc98f902c058cbd06047d030fff889f3a0f7eea5abdc920c37e8685708e2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7MR6A7B5XBCR47VZ2HEE2QPZU5/bundle.json","state_url":"https://pith.science/pith/7MR6A7B5XBCR47VZ2HEE2QPZU5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7MR6A7B5XBCR47VZ2HEE2QPZU5/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":"2026-08-03T17:06:18Z","links":{"resolver":"https://pith.science/pith/7MR6A7B5XBCR47VZ2HEE2QPZU5","bundle":"https://pith.science/pith/7MR6A7B5XBCR47VZ2HEE2QPZU5/bundle.json","state":"https://pith.science/pith/7MR6A7B5XBCR47VZ2HEE2QPZU5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7MR6A7B5XBCR47VZ2HEE2QPZU5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7MR6A7B5XBCR47VZ2HEE2QPZU5","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":"518154ed27ea8277829b5d5add0a93b86c2d513cbd5a15f558d29329ab504c31","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2022-01-20T16:30:17Z","title_canon_sha256":"75032b3ed162321195dfc1eaa5d89bcfcd883e31350300791355d964280ca9b1"},"schema_version":"1.0","source":{"id":"2201.08279","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.08279","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"2201.08279v2","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.08279","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"7MR6A7B5XBCR","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"pith_short_16","alias_value":"7MR6A7B5XBCR47VZ","created_at":"2026-07-05T06:19:51Z"},{"alias_kind":"pith_short_8","alias_value":"7MR6A7B5","created_at":"2026-07-05T06:19:51Z"}],"graph_snapshots":[{"event_id":"sha256:e016bc98f902c058cbd06047d030fff889f3a0f7eea5abdc920c37e8685708e2","target":"graph","created_at":"2026-07-05T06:19:51Z","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/2201.08279/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computational fluid dynamics (CFD) simulation provides valuable information on blood flow from the vascular geometry. However, it requires extracting precise models of arteries from low-resolution medical images, which remains challenging. Centerline-based representation is widely used to model large vascular networks with small vessels, as it encodes both the geometric and topological information and facilitates manual editing. In this work, we propose an automatic method to generate a structured hexahedral mesh suitable for CFD directly from centerlines. We addressed both the modeling and me","authors_text":"Carole Frindel, Guillaume Lavou\\'e, Makoto Ohta, M\\'eghane Decroocq, Pierre Roug\\'e","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2022-01-20T16:30:17Z","title":"Modeling and hexahedral meshing of cerebral arterial networks from centerlines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.08279","kind":"arxiv","version":2},"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:d3346a83c98632edfb072c324737f839aa2709ac01bf4fb1f9b21d70936a3f97","target":"record","created_at":"2026-07-05T06:19:51Z","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":"518154ed27ea8277829b5d5add0a93b86c2d513cbd5a15f558d29329ab504c31","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CG","submitted_at":"2022-01-20T16:30:17Z","title_canon_sha256":"75032b3ed162321195dfc1eaa5d89bcfcd883e31350300791355d964280ca9b1"},"schema_version":"1.0","source":{"id":"2201.08279","kind":"arxiv","version":2}},"canonical_sha256":"fb23e07c3db8451e7eb9d1c84d41f9a7784fd7d6897921edbea16355e51d4171","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb23e07c3db8451e7eb9d1c84d41f9a7784fd7d6897921edbea16355e51d4171","first_computed_at":"2026-07-05T06:19:51.322171Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:51.322171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LL0O4X7TnvtfBpaJsdex4wSRAOU4e2zx/8SuHFhJfV7Ke4bXW5G6WXeeoEMgBdwn+q0OTPMPA9KB7VCZxgLzDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:51.322700Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.08279","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3346a83c98632edfb072c324737f839aa2709ac01bf4fb1f9b21d70936a3f97","sha256:e016bc98f902c058cbd06047d030fff889f3a0f7eea5abdc920c37e8685708e2"],"state_sha256":"92fc1572a71172df5f965dda7df95c3d2bf6f2938c9b5fbf1e87d39b3565002b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b8GfyqkRdvbBffRnUGBDBjvsmsuOQyjopIeN9uHcfoWVKK7wR8GPm4FRbNl59h2BbrZMm7xStT7FL13F3yCNCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:06:18.410431Z","bundle_sha256":"d78218473eca2777d15e82ca529435de6da34751da679e6770be0ef40684da32"}}