{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:P6L4QI63VK2J2VF2XENMOAJ7DH","short_pith_number":"pith:P6L4QI63","schema_version":"1.0","canonical_sha256":"7f97c823dbaab49d54bab91ac7013f19fdfeed503fdf15820ba374387174b5ea","source":{"kind":"arxiv","id":"1312.4481","version":1},"attestation_state":"computed","paper":{"title":"Conservative and non-conservative methods based on hermite weighted essentially-non-oscillatory reconstruction for Vlasov equations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.NA","authors_text":"Chang Yang (ICJ), Francis Filbet (ICJ)","submitted_at":"2013-12-16T19:48:12Z","abstract_excerpt":"We introduce a WENO reconstruction based on Hermite interpolation both for semi-Lagrangian and finite difference methods. This WENO reconstruction technique allows to control spurious oscillations. We develop third and fifth order methods and apply them to non-conservative semi-Lagrangian schemes and conservative finite difference methods. Our numerical results will be compared to the usual semi-Lagrangian method with cubic spline reconstruction and the classical fifth order WENO finite difference scheme. These reconstructions are observed to be less dissipative than the usual weighted essenti"},"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":"1312.4481","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2013-12-16T19:48:12Z","cross_cats_sorted":[],"title_canon_sha256":"b607358ea666f995bd7f6ebe3b3cf8b36b0c0a5605b198fd6191a8b566364405","abstract_canon_sha256":"2f852a54ae4fad88d04244edeefd89870159ef29ad81fc38d1ebac980e8ab273"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:45:50.140435Z","signature_b64":"0uO9aYlstOjZONorqgFNbAn4Do8ZMeoDn7RlFtjf9AqBN47xQbJMhKTB71Ln+KF3KkD0R41RudLCwBKRN9m4AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f97c823dbaab49d54bab91ac7013f19fdfeed503fdf15820ba374387174b5ea","last_reissued_at":"2026-05-18T01:45:50.139863Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:45:50.139863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Conservative and non-conservative methods based on hermite weighted essentially-non-oscillatory reconstruction for Vlasov equations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.NA","authors_text":"Chang Yang (ICJ), Francis Filbet (ICJ)","submitted_at":"2013-12-16T19:48:12Z","abstract_excerpt":"We introduce a WENO reconstruction based on Hermite interpolation both for semi-Lagrangian and finite difference methods. This WENO reconstruction technique allows to control spurious oscillations. We develop third and fifth order methods and apply them to non-conservative semi-Lagrangian schemes and conservative finite difference methods. Our numerical results will be compared to the usual semi-Lagrangian method with cubic spline reconstruction and the classical fifth order WENO finite difference scheme. These reconstructions are observed to be less dissipative than the usual weighted essenti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.4481","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":"1312.4481","created_at":"2026-05-18T01:45:50.139961+00:00"},{"alias_kind":"arxiv_version","alias_value":"1312.4481v1","created_at":"2026-05-18T01:45:50.139961+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.4481","created_at":"2026-05-18T01:45:50.139961+00:00"},{"alias_kind":"pith_short_12","alias_value":"P6L4QI63VK2J","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_16","alias_value":"P6L4QI63VK2J2VF2","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_8","alias_value":"P6L4QI63","created_at":"2026-05-18T12:27:54.935989+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/P6L4QI63VK2J2VF2XENMOAJ7DH","json":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH.json","graph_json":"https://pith.science/api/pith-number/P6L4QI63VK2J2VF2XENMOAJ7DH/graph.json","events_json":"https://pith.science/api/pith-number/P6L4QI63VK2J2VF2XENMOAJ7DH/events.json","paper":"https://pith.science/paper/P6L4QI63"},"agent_actions":{"view_html":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH","download_json":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH.json","view_paper":"https://pith.science/paper/P6L4QI63","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1312.4481&json=true","fetch_graph":"https://pith.science/api/pith-number/P6L4QI63VK2J2VF2XENMOAJ7DH/graph.json","fetch_events":"https://pith.science/api/pith-number/P6L4QI63VK2J2VF2XENMOAJ7DH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH/action/storage_attestation","attest_author":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH/action/author_attestation","sign_citation":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH/action/citation_signature","submit_replication":"https://pith.science/pith/P6L4QI63VK2J2VF2XENMOAJ7DH/action/replication_record"}},"created_at":"2026-05-18T01:45:50.139961+00:00","updated_at":"2026-05-18T01:45:50.139961+00:00"}