{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:DV7W3KGW44EQL4FWW65JKM5NAM","short_pith_number":"pith:DV7W3KGW","schema_version":"1.0","canonical_sha256":"1d7f6da8d6e70905f0b6b7ba9533ad0330d8ae317b5f4b3af9f8d117cbd88490","source":{"kind":"arxiv","id":"1810.12033","version":1},"attestation_state":"computed","paper":{"title":"Parametric model order reduction and its application to inverse analysis of large nonlinear coupled cardiac problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.med-ph"],"primary_cat":"cs.CE","authors_text":"Crist\\'obal Bertoglio, Johannes Lang, Maria Cruz Varona, Martin R. Pfaller, Wolfgang A. Wall","submitted_at":"2018-10-29T10:03:22Z","abstract_excerpt":"Predictive high-fidelity finite element simulations of human cardiac mechanics co\\-mmon\\-ly require a large number of structural degrees of freedom. Additionally, these models are often coupled with lumped-parameter models of hemodynamics. High computational demands, however, slow down model calibration and therefore limit the use of cardiac simulations in clinical practice. As cardiac models rely on several patient-specific parameters, just one solution corresponding to one specific parameter set does not at all meet clinical demands. Moreover, while solving the nonlinear problem, 90\\% of the"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1810.12033","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2018-10-29T10:03:22Z","cross_cats_sorted":["physics.med-ph"],"title_canon_sha256":"e4c9cfaaff6f6e8a591316777e33731dc61c343a51556a1d2c2790e979ee25a9","abstract_canon_sha256":"4ca39188a6caa2652152cdef5e47579f49d47f1212729f3910b9f05e4ad434e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:40:53.473691Z","signature_b64":"akZZk8gBRBWziPZkGXSkAmaI0EqJn/Xfj1V0NgRXhF2zAO2p9Yy8peUCZwc5+InVBGL+l+R9aUN0LN2YMNFUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d7f6da8d6e70905f0b6b7ba9533ad0330d8ae317b5f4b3af9f8d117cbd88490","last_reissued_at":"2026-07-05T00:40:53.473269Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:40:53.473269Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Parametric model order reduction and its application to inverse analysis of large nonlinear coupled cardiac problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.med-ph"],"primary_cat":"cs.CE","authors_text":"Crist\\'obal Bertoglio, Johannes Lang, Maria Cruz Varona, Martin R. Pfaller, Wolfgang A. Wall","submitted_at":"2018-10-29T10:03:22Z","abstract_excerpt":"Predictive high-fidelity finite element simulations of human cardiac mechanics co\\-mmon\\-ly require a large number of structural degrees of freedom. Additionally, these models are often coupled with lumped-parameter models of hemodynamics. High computational demands, however, slow down model calibration and therefore limit the use of cardiac simulations in clinical practice. As cardiac models rely on several patient-specific parameters, just one solution corresponding to one specific parameter set does not at all meet clinical demands. Moreover, while solving the nonlinear problem, 90\\% of the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.12033","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/1810.12033/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1810.12033","created_at":"2026-07-05T00:40:53.473325+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.12033v1","created_at":"2026-07-05T00:40:53.473325+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.12033","created_at":"2026-07-05T00:40:53.473325+00:00"},{"alias_kind":"pith_short_12","alias_value":"DV7W3KGW44EQ","created_at":"2026-07-05T00:40:53.473325+00:00"},{"alias_kind":"pith_short_16","alias_value":"DV7W3KGW44EQL4FW","created_at":"2026-07-05T00:40:53.473325+00:00"},{"alias_kind":"pith_short_8","alias_value":"DV7W3KGW","created_at":"2026-07-05T00:40:53.473325+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM","json":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM.json","graph_json":"https://pith.science/api/pith-number/DV7W3KGW44EQL4FWW65JKM5NAM/graph.json","events_json":"https://pith.science/api/pith-number/DV7W3KGW44EQL4FWW65JKM5NAM/events.json","paper":"https://pith.science/paper/DV7W3KGW"},"agent_actions":{"view_html":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM","download_json":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM.json","view_paper":"https://pith.science/paper/DV7W3KGW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.12033&json=true","fetch_graph":"https://pith.science/api/pith-number/DV7W3KGW44EQL4FWW65JKM5NAM/graph.json","fetch_events":"https://pith.science/api/pith-number/DV7W3KGW44EQL4FWW65JKM5NAM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM/action/storage_attestation","attest_author":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM/action/author_attestation","sign_citation":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM/action/citation_signature","submit_replication":"https://pith.science/pith/DV7W3KGW44EQL4FWW65JKM5NAM/action/replication_record"}},"created_at":"2026-07-05T00:40:53.473325+00:00","updated_at":"2026-07-05T00:40:53.473325+00:00"}