{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:CQVCDN4QREODZGFFDOKCKAW6CT","short_pith_number":"pith:CQVCDN4Q","schema_version":"1.0","canonical_sha256":"142a21b790891c3c98a51b942502de14eb2f3365f8894b2f21dd8870f5097ecf","source":{"kind":"arxiv","id":"2407.17139","version":2},"attestation_state":"computed","paper":{"title":"A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Anthony Garland, Charbel Farhat, D. Dane Quinn, Eleni Chatzi, Konstantinos Vlachas, Thomas Simpson","submitted_at":"2024-07-24T10:18:47Z","abstract_excerpt":"Reduced Order Models (ROMs) form essential tools across engineering domains by virtue of their function as surrogates for computationally intensive digital twinning simulators. Although purely data-driven methods are available for ROM construction, schemes that allow to retain a portion of the physics tend to enhance the interpretability and generalization of ROMs. However, physics-based techniques can adversely scale when dealing with nonlinear systems that feature parametric dependencies. This study introduces a generative physics-based ROM that is suited for nonlinear systems with parametri"},"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":"2407.17139","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2024-07-24T10:18:47Z","cross_cats_sorted":[],"title_canon_sha256":"184d41cb3630ff33f842320a11e3c308be9df0540292572622f0080e5145e1d1","abstract_canon_sha256":"dbb10c9ad079c9b6f927292b7f82b39d5238b92f230a3e9233882a20d172e771"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:47:29.971989Z","signature_b64":"dPMgnZuz00HHD8ai5SMDFGyLunoTw9aXtYHNVtkNJh5jaHpKzogXnNKy6AF+nJiWtnSST3iFOWrrnncxYckHAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"142a21b790891c3c98a51b942502de14eb2f3365f8894b2f21dd8870f5097ecf","last_reissued_at":"2026-07-05T10:47:29.971515Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:47:29.971515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Anthony Garland, Charbel Farhat, D. Dane Quinn, Eleni Chatzi, Konstantinos Vlachas, Thomas Simpson","submitted_at":"2024-07-24T10:18:47Z","abstract_excerpt":"Reduced Order Models (ROMs) form essential tools across engineering domains by virtue of their function as surrogates for computationally intensive digital twinning simulators. Although purely data-driven methods are available for ROM construction, schemes that allow to retain a portion of the physics tend to enhance the interpretability and generalization of ROMs. However, physics-based techniques can adversely scale when dealing with nonlinear systems that feature parametric dependencies. This study introduces a generative physics-based ROM that is suited for nonlinear systems with parametri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.17139","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/2407.17139/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":"2407.17139","created_at":"2026-07-05T10:47:29.971573+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.17139v2","created_at":"2026-07-05T10:47:29.971573+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.17139","created_at":"2026-07-05T10:47:29.971573+00:00"},{"alias_kind":"pith_short_12","alias_value":"CQVCDN4QREOD","created_at":"2026-07-05T10:47:29.971573+00:00"},{"alias_kind":"pith_short_16","alias_value":"CQVCDN4QREODZGFF","created_at":"2026-07-05T10:47:29.971573+00:00"},{"alias_kind":"pith_short_8","alias_value":"CQVCDN4Q","created_at":"2026-07-05T10:47:29.971573+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/CQVCDN4QREODZGFFDOKCKAW6CT","json":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT.json","graph_json":"https://pith.science/api/pith-number/CQVCDN4QREODZGFFDOKCKAW6CT/graph.json","events_json":"https://pith.science/api/pith-number/CQVCDN4QREODZGFFDOKCKAW6CT/events.json","paper":"https://pith.science/paper/CQVCDN4Q"},"agent_actions":{"view_html":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT","download_json":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT.json","view_paper":"https://pith.science/paper/CQVCDN4Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.17139&json=true","fetch_graph":"https://pith.science/api/pith-number/CQVCDN4QREODZGFFDOKCKAW6CT/graph.json","fetch_events":"https://pith.science/api/pith-number/CQVCDN4QREODZGFFDOKCKAW6CT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT/action/storage_attestation","attest_author":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT/action/author_attestation","sign_citation":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT/action/citation_signature","submit_replication":"https://pith.science/pith/CQVCDN4QREODZGFFDOKCKAW6CT/action/replication_record"}},"created_at":"2026-07-05T10:47:29.971573+00:00","updated_at":"2026-07-05T10:47:29.971573+00:00"}