{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:MUHCYBVYFDPR24Q3J4JCPYWPHL","short_pith_number":"pith:MUHCYBVY","schema_version":"1.0","canonical_sha256":"650e2c06b828df1d721b4f1227e2cf3ae20d8f3d1d5f38b6d488a5a2210a06b5","source":{"kind":"arxiv","id":"2111.08037","version":1},"attestation_state":"computed","paper":{"title":"Multiphase flow applications of non-intrusive reduced-order models with Gaussian process emulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.flu-dyn"],"primary_cat":"physics.comp-ph","authors_text":"Indranil Pan, Lachlan R. Mason, Omar K. Matar, Themistoklis Botsas","submitted_at":"2021-11-15T19:00:48Z","abstract_excerpt":"Reduced-order models (ROMs) are computationally inexpensive simplifications of high-fidelity complex ones. Such models can be found in computational fluid dynamics where they can be used to predict the characteristics of multiphase flows. In previous work, we presented a ROM analysis framework that coupled compression techniques, such as autoencoders (AE), with Gaussian process (GP) regression in the latent space. This pairing has significant advantages over the standard encoding-decoding routine, such as the ability to interpolate or extrapolate in the initial conditions' space, which can pro"},"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":"2111.08037","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.comp-ph","submitted_at":"2021-11-15T19:00:48Z","cross_cats_sorted":["physics.flu-dyn"],"title_canon_sha256":"f353e36f657171c773403847183355c08ef1f8c0ff10e608c6021a7ed457c7a2","abstract_canon_sha256":"8ea77276fb0330d7a933c8b29e08d739b3ff464012aff52abbcbc8fedd0c4984"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:32:28.816904Z","signature_b64":"rcpzJW1XQbvT5OGkxbqFLvHcgdlxySeEZY73s6PPCTbQsgT4XMx1AK8dZdgYn22RVuITUCy194pBlXSG+FsADg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"650e2c06b828df1d721b4f1227e2cf3ae20d8f3d1d5f38b6d488a5a2210a06b5","last_reissued_at":"2026-07-05T03:32:28.816381Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:32:28.816381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multiphase flow applications of non-intrusive reduced-order models with Gaussian process emulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.flu-dyn"],"primary_cat":"physics.comp-ph","authors_text":"Indranil Pan, Lachlan R. Mason, Omar K. Matar, Themistoklis Botsas","submitted_at":"2021-11-15T19:00:48Z","abstract_excerpt":"Reduced-order models (ROMs) are computationally inexpensive simplifications of high-fidelity complex ones. Such models can be found in computational fluid dynamics where they can be used to predict the characteristics of multiphase flows. In previous work, we presented a ROM analysis framework that coupled compression techniques, such as autoencoders (AE), with Gaussian process (GP) regression in the latent space. This pairing has significant advantages over the standard encoding-decoding routine, such as the ability to interpolate or extrapolate in the initial conditions' space, which can pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.08037","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/2111.08037/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":"2111.08037","created_at":"2026-07-05T03:32:28.816491+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.08037v1","created_at":"2026-07-05T03:32:28.816491+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.08037","created_at":"2026-07-05T03:32:28.816491+00:00"},{"alias_kind":"pith_short_12","alias_value":"MUHCYBVYFDPR","created_at":"2026-07-05T03:32:28.816491+00:00"},{"alias_kind":"pith_short_16","alias_value":"MUHCYBVYFDPR24Q3","created_at":"2026-07-05T03:32:28.816491+00:00"},{"alias_kind":"pith_short_8","alias_value":"MUHCYBVY","created_at":"2026-07-05T03:32:28.816491+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/MUHCYBVYFDPR24Q3J4JCPYWPHL","json":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL.json","graph_json":"https://pith.science/api/pith-number/MUHCYBVYFDPR24Q3J4JCPYWPHL/graph.json","events_json":"https://pith.science/api/pith-number/MUHCYBVYFDPR24Q3J4JCPYWPHL/events.json","paper":"https://pith.science/paper/MUHCYBVY"},"agent_actions":{"view_html":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL","download_json":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL.json","view_paper":"https://pith.science/paper/MUHCYBVY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.08037&json=true","fetch_graph":"https://pith.science/api/pith-number/MUHCYBVYFDPR24Q3J4JCPYWPHL/graph.json","fetch_events":"https://pith.science/api/pith-number/MUHCYBVYFDPR24Q3J4JCPYWPHL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL/action/storage_attestation","attest_author":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL/action/author_attestation","sign_citation":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL/action/citation_signature","submit_replication":"https://pith.science/pith/MUHCYBVYFDPR24Q3J4JCPYWPHL/action/replication_record"}},"created_at":"2026-07-05T03:32:28.816491+00:00","updated_at":"2026-07-05T03:32:28.816491+00:00"}