{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:YDSUHCYTE5XXRDFGHH2EKOPBQU","short_pith_number":"pith:YDSUHCYT","schema_version":"1.0","canonical_sha256":"c0e5438b13276f788ca639f44539e185120281846d7cc7fec9e4bf35790f3754","source":{"kind":"arxiv","id":"1806.01802","version":1},"attestation_state":"computed","paper":{"title":"IMEX based Multi-Scale Time Advancement in ODTLES","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Christoph Glawe, Heiko Schmidt, Juan A. Medina M.","submitted_at":"2018-06-05T16:50:42Z","abstract_excerpt":"In this paper we overcome a key problem in an otherwise highly potential approach to study turbulent flows, ODTLES (One-Dimensional Turbulence Large Eddy Simulation). From a methodological point of view, ODTLES is an approach in between Direct Numerical Simulations (DNS) and averaged/filtered approaches like RANS (Reynolds Averaged Navier-Stokes) or LES (Large Eddy Simulations). In ODTLES, a set of 1D ODT models is embedded in a coarse grained 3D LES. On the ODT scale, the turbulent advection is modeled as a sequence of stochastic eddy events, also known as triplet maps, while the other (deter"},"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":"1806.01802","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2018-06-05T16:50:42Z","cross_cats_sorted":[],"title_canon_sha256":"762e1cb497a672f37c03aba309f263b8e4ba65f93ce11e72f2f0abb61a27f83d","abstract_canon_sha256":"0d5bbad84c1e68070a0f32a1bc06d57a03cf0cad12278933209ffd26595eae28"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:11.767806Z","signature_b64":"lkeofz+B8S/rLs9Ge7yoY7Lv3PXC+15mSFQPdUD+x8IZgHv7MpDUMJ3CueV7dbDRQNSiVCbw1K23n2JmI2U5DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0e5438b13276f788ca639f44539e185120281846d7cc7fec9e4bf35790f3754","last_reissued_at":"2026-05-18T00:14:11.767187Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:11.767187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"IMEX based Multi-Scale Time Advancement in ODTLES","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Christoph Glawe, Heiko Schmidt, Juan A. Medina M.","submitted_at":"2018-06-05T16:50:42Z","abstract_excerpt":"In this paper we overcome a key problem in an otherwise highly potential approach to study turbulent flows, ODTLES (One-Dimensional Turbulence Large Eddy Simulation). From a methodological point of view, ODTLES is an approach in between Direct Numerical Simulations (DNS) and averaged/filtered approaches like RANS (Reynolds Averaged Navier-Stokes) or LES (Large Eddy Simulations). In ODTLES, a set of 1D ODT models is embedded in a coarse grained 3D LES. On the ODT scale, the turbulent advection is modeled as a sequence of stochastic eddy events, also known as triplet maps, while the other (deter"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01802","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":"1806.01802","created_at":"2026-05-18T00:14:11.767264+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.01802v1","created_at":"2026-05-18T00:14:11.767264+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01802","created_at":"2026-05-18T00:14:11.767264+00:00"},{"alias_kind":"pith_short_12","alias_value":"YDSUHCYTE5XX","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"YDSUHCYTE5XXRDFG","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"YDSUHCYT","created_at":"2026-05-18T12:33:04.347982+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/YDSUHCYTE5XXRDFGHH2EKOPBQU","json":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU.json","graph_json":"https://pith.science/api/pith-number/YDSUHCYTE5XXRDFGHH2EKOPBQU/graph.json","events_json":"https://pith.science/api/pith-number/YDSUHCYTE5XXRDFGHH2EKOPBQU/events.json","paper":"https://pith.science/paper/YDSUHCYT"},"agent_actions":{"view_html":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU","download_json":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU.json","view_paper":"https://pith.science/paper/YDSUHCYT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.01802&json=true","fetch_graph":"https://pith.science/api/pith-number/YDSUHCYTE5XXRDFGHH2EKOPBQU/graph.json","fetch_events":"https://pith.science/api/pith-number/YDSUHCYTE5XXRDFGHH2EKOPBQU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU/action/storage_attestation","attest_author":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU/action/author_attestation","sign_citation":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU/action/citation_signature","submit_replication":"https://pith.science/pith/YDSUHCYTE5XXRDFGHH2EKOPBQU/action/replication_record"}},"created_at":"2026-05-18T00:14:11.767264+00:00","updated_at":"2026-05-18T00:14:11.767264+00:00"}