{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:UUM47LFPST6PTCCYWRCWZKHL4T","short_pith_number":"pith:UUM47LFP","schema_version":"1.0","canonical_sha256":"a519cfacaf94fcf98858b4456ca8ebe4f2adf3af2d9654f9739782eb9b105954","source":{"kind":"arxiv","id":"1811.08319","version":1},"attestation_state":"computed","paper":{"title":"Advances in Reduced Order Methods for Parametric Industrial Problems in Computational Fluid Dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"math.NA","authors_text":"Andrea Mola, Gianluigi Rozza, Giovanni Stabile, Haris Malik, Marco Tezzele, Michele Girfoglio, Nicola Demo","submitted_at":"2018-11-20T15:39:08Z","abstract_excerpt":"Reduced order modeling has gained considerable attention in recent decades owing to the advantages offered in reduced computational times and multiple solutions for parametric problems. The focus of this manuscript is the application of model order reduction techniques in various engineering and scientific applications including but not limited to mechanical, naval and aeronautical engineering. The focus here is kept limited to computational fluid mechanics and related applications. The advances in the reduced order modeling with proper orthogonal decomposition and reduced basis method are pre"},"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":"1811.08319","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2018-11-20T15:39:08Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"df06374450f2a159846a896fa142e491f4e1148774b91185387dc9fa8b9866f5","abstract_canon_sha256":"4738bd62b8e80b3776a67ed0fa2301820c784da44cb62dc4e7e660b2045a658e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:14.363334Z","signature_b64":"EurJs/GyUTHtXHA36m0R9FY0i+3td5wkhLVGtgMdP8oqhNIK90962UCBPRRjfbzspaHI8gsFVSyNmdNWwr+dCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a519cfacaf94fcf98858b4456ca8ebe4f2adf3af2d9654f9739782eb9b105954","last_reissued_at":"2026-05-18T00:00:14.362671Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:14.362671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Advances in Reduced Order Methods for Parametric Industrial Problems in Computational Fluid Dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"math.NA","authors_text":"Andrea Mola, Gianluigi Rozza, Giovanni Stabile, Haris Malik, Marco Tezzele, Michele Girfoglio, Nicola Demo","submitted_at":"2018-11-20T15:39:08Z","abstract_excerpt":"Reduced order modeling has gained considerable attention in recent decades owing to the advantages offered in reduced computational times and multiple solutions for parametric problems. The focus of this manuscript is the application of model order reduction techniques in various engineering and scientific applications including but not limited to mechanical, naval and aeronautical engineering. The focus here is kept limited to computational fluid mechanics and related applications. The advances in the reduced order modeling with proper orthogonal decomposition and reduced basis method are pre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08319","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":""},"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":"1811.08319","created_at":"2026-05-18T00:00:14.362770+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.08319v1","created_at":"2026-05-18T00:00:14.362770+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08319","created_at":"2026-05-18T00:00:14.362770+00:00"},{"alias_kind":"pith_short_12","alias_value":"UUM47LFPST6P","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_16","alias_value":"UUM47LFPST6PTCCY","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_8","alias_value":"UUM47LFP","created_at":"2026-05-18T12:32:56.356000+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/UUM47LFPST6PTCCYWRCWZKHL4T","json":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T.json","graph_json":"https://pith.science/api/pith-number/UUM47LFPST6PTCCYWRCWZKHL4T/graph.json","events_json":"https://pith.science/api/pith-number/UUM47LFPST6PTCCYWRCWZKHL4T/events.json","paper":"https://pith.science/paper/UUM47LFP"},"agent_actions":{"view_html":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T","download_json":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T.json","view_paper":"https://pith.science/paper/UUM47LFP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.08319&json=true","fetch_graph":"https://pith.science/api/pith-number/UUM47LFPST6PTCCYWRCWZKHL4T/graph.json","fetch_events":"https://pith.science/api/pith-number/UUM47LFPST6PTCCYWRCWZKHL4T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T/action/storage_attestation","attest_author":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T/action/author_attestation","sign_citation":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T/action/citation_signature","submit_replication":"https://pith.science/pith/UUM47LFPST6PTCCYWRCWZKHL4T/action/replication_record"}},"created_at":"2026-05-18T00:00:14.362770+00:00","updated_at":"2026-05-18T00:00:14.362770+00:00"}