{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KLORIRXO52GMJLJVRC3XJAB6SE","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":"879852f63f6e237e9172f4260587e4ee7fa542155cd2e314036db765b502f62d","cross_cats_sorted":["cs.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-11-27T07:00:32Z","title_canon_sha256":"106abb1545528b18ddab68b7a0eb2e52d9c857c28fa092e3fa282457bbdffcd3"},"schema_version":"1.0","source":{"id":"2411.18089","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18089","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18089v1","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18089","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_12","alias_value":"KLORIRXO52GM","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_16","alias_value":"KLORIRXO52GMJLJV","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_8","alias_value":"KLORIRXO","created_at":"2026-07-05T09:41:11Z"}],"graph_snapshots":[{"event_id":"sha256:35aebfa34aa358216bcf0b3657b3c0b625ed8479cfc59bb80a3e2aa3ce25db9a","target":"graph","created_at":"2026-07-05T09:41:11Z","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/2411.18089/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Patient-specific modeling of cardiovascular flows with high-fidelity is challenging due to its dependence on accurately estimated velocity boundary profiles, which are essential for precise simulations and directly influence wall shear stress calculations - key in predicting cardiovascular diseases like atherosclerosis. This data, often derived from in vivo modalities like 4D flow MRI, suffers from low resolution and noise. To address this, we employ a stochastic data assimilation technique that integrates computational fluid dynamics with an advanced Ensemble-based Kalman filter, enhancing mo","authors_text":"Gianluigi Rozza, Giovanni Stabile, Kabir Bakhshaei, Sajad Salavatidezfouli","cross_cats":["cs.NA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-11-27T07:00:32Z","title":"Stochastic Parameter Prediction in Cardiovascular Problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18089","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":"sha256:660a876a02ceb6351e8bfe2712e6babe3b20db26e483901d4e7ffad0e748577c","target":"record","created_at":"2026-07-05T09:41:11Z","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":"879852f63f6e237e9172f4260587e4ee7fa542155cd2e314036db765b502f62d","cross_cats_sorted":["cs.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.NA","submitted_at":"2024-11-27T07:00:32Z","title_canon_sha256":"106abb1545528b18ddab68b7a0eb2e52d9c857c28fa092e3fa282457bbdffcd3"},"schema_version":"1.0","source":{"id":"2411.18089","kind":"arxiv","version":1}},"canonical_sha256":"52dd1446eeee8cc4ad3588b774803e91078a4e5acd7d051b5ab5cbbb3fc15fa3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52dd1446eeee8cc4ad3588b774803e91078a4e5acd7d051b5ab5cbbb3fc15fa3","first_computed_at":"2026-07-05T09:41:11.672652Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:11.672652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DJOxYFJrN+JcVp5mTnPXzM8LoIEW1WlDxzLPv0wYfQCcW91HuDrnUcI24X1D93cnRaN6vVMdPZ/xjePwtDsjCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:11.673037Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18089","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:660a876a02ceb6351e8bfe2712e6babe3b20db26e483901d4e7ffad0e748577c","sha256:35aebfa34aa358216bcf0b3657b3c0b625ed8479cfc59bb80a3e2aa3ce25db9a"],"state_sha256":"11b0c62276a5145264fbce0b8482c5c0e90e66915134b50939bebeea8120adef"}