{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5RV2NGQO2XWTOE2NUNMVNKHG6J","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":"e30ad59fd54ed802bd1571c017f560f33513742998dc247ddb0b462f91886c39","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"math.DS","submitted_at":"2021-10-26T11:33:11Z","title_canon_sha256":"7f90ffd1473aedbdbf7607d64763cc9925fc1b3a8e2d6378594788bf09f826c6"},"schema_version":"1.0","source":{"id":"2110.13583","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.13583","created_at":"2026-07-05T03:25:40Z"},{"alias_kind":"arxiv_version","alias_value":"2110.13583v1","created_at":"2026-07-05T03:25:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.13583","created_at":"2026-07-05T03:25:40Z"},{"alias_kind":"pith_short_12","alias_value":"5RV2NGQO2XWT","created_at":"2026-07-05T03:25:40Z"},{"alias_kind":"pith_short_16","alias_value":"5RV2NGQO2XWTOE2N","created_at":"2026-07-05T03:25:40Z"},{"alias_kind":"pith_short_8","alias_value":"5RV2NGQO","created_at":"2026-07-05T03:25:40Z"}],"graph_snapshots":[{"event_id":"sha256:d31edd1629c6ddc367ac6e7aa9ad586921495e3c69e8e8ae153566e40136be1c","target":"graph","created_at":"2026-07-05T03:25:40Z","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/2110.13583/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research in non-intrusive data-driven model order reduction (MOR) enabled accurate and efficient approximation of parameterized ordinary differential equations (ODEs). However, previous studies have focused on constant parameters, whereas time-dependent parameters have been neglected. The purpose of this paper is to introduce a novel two-step MOR scheme to tackle this issue. In a first step, classic MOR approaches are applied to calculate a low-dimensional representation of high-dimensional ODE solutions, i.e. to extract the most important features of simulation data. Based on this repr","authors_text":"Jonas Kneifl, J\\\"org Fehr, Julian Hay","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"math.DS","submitted_at":"2021-10-26T11:33:11Z","title":"Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.13583","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":"sha256:32cdaa26de4bd520664832cbe1ff8815fe54d86463061c2fc0a2123bf77def75","target":"record","created_at":"2026-07-05T03:25:40Z","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":"e30ad59fd54ed802bd1571c017f560f33513742998dc247ddb0b462f91886c39","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"math.DS","submitted_at":"2021-10-26T11:33:11Z","title_canon_sha256":"7f90ffd1473aedbdbf7607d64763cc9925fc1b3a8e2d6378594788bf09f826c6"},"schema_version":"1.0","source":{"id":"2110.13583","kind":"arxiv","version":1}},"canonical_sha256":"ec6ba69a0ed5ed37134da35956a8e6f25ea8d50754aca82a1c2e1db6385ce20c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec6ba69a0ed5ed37134da35956a8e6f25ea8d50754aca82a1c2e1db6385ce20c","first_computed_at":"2026-07-05T03:25:40.303092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:25:40.303092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"go3gsUTdqCimB8OgF/wKvLrSN22pE92z6QWJZjGIEptaf8fDoiQTZi7tgNyx+zHPsfx8oc9XV0NamlZvRQ6KDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:25:40.303450Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.13583","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32cdaa26de4bd520664832cbe1ff8815fe54d86463061c2fc0a2123bf77def75","sha256:d31edd1629c6ddc367ac6e7aa9ad586921495e3c69e8e8ae153566e40136be1c"],"state_sha256":"eb50939cea98b2bf7e2626db6f91180ced32e0b255470a2e6adf09ca90e70068"}