{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:T5RNNUIMUV62LJPWZCGDVGPIPE","short_pith_number":"pith:T5RNNUIM","schema_version":"1.0","canonical_sha256":"9f62d6d10ca57da5a5f6c88c3a99e87938834dec4674fc757e84f1f40f34dabc","source":{"kind":"arxiv","id":"1706.01915","version":1},"attestation_state":"computed","paper":{"title":"A new efficient staggered grid finite difference scheme for elastic wave equation modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.geo-ph","authors_text":"Changchun Yang, Chaofan Wu, Wenquan Liang, Xiaobi Xie, Yanfei Wang","submitted_at":"2017-06-06T18:26:31Z","abstract_excerpt":"Staggered grid finite difference scheme is widely used for the first order elastic wave equation, which constitutes the basis for least-squares reverse time migration and full waveform inversion. It is of great importance to improve the efficiency and accuracy of wave equation modeling. Usually the same staggered grid finite difference scheme is used for all the spatial derivatives in the first order elastic wave equation. In this paper, we propose a new staggered grid finite difference scheme which can improve the efficiency while preserving the same accuracy for the first order elastic wave "},"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":"1706.01915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.geo-ph","submitted_at":"2017-06-06T18:26:31Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"f7d164c284e47a942c6e0ba66e63c722b333083e301472b020faa45ed482221b","abstract_canon_sha256":"c613b1a70ca13496a84c6063512728a67ad7fe721ed3946674ce547cc118aec8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:50.827046Z","signature_b64":"qXODmWMfZ+druiD+xZXDE/eaOJv1zxxi4mAJaEUWsqT0P8oU9BJnX2GzipsC8HkQ7aHwFQ/m7rmXu3O+IzakBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f62d6d10ca57da5a5f6c88c3a99e87938834dec4674fc757e84f1f40f34dabc","last_reissued_at":"2026-05-18T00:42:50.826439Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:50.826439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A new efficient staggered grid finite difference scheme for elastic wave equation modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.geo-ph","authors_text":"Changchun Yang, Chaofan Wu, Wenquan Liang, Xiaobi Xie, Yanfei Wang","submitted_at":"2017-06-06T18:26:31Z","abstract_excerpt":"Staggered grid finite difference scheme is widely used for the first order elastic wave equation, which constitutes the basis for least-squares reverse time migration and full waveform inversion. It is of great importance to improve the efficiency and accuracy of wave equation modeling. Usually the same staggered grid finite difference scheme is used for all the spatial derivatives in the first order elastic wave equation. In this paper, we propose a new staggered grid finite difference scheme which can improve the efficiency while preserving the same accuracy for the first order elastic wave "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01915","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":"1706.01915","created_at":"2026-05-18T00:42:50.826545+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.01915v1","created_at":"2026-05-18T00:42:50.826545+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01915","created_at":"2026-05-18T00:42:50.826545+00:00"},{"alias_kind":"pith_short_12","alias_value":"T5RNNUIMUV62","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"T5RNNUIMUV62LJPW","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"T5RNNUIM","created_at":"2026-05-18T12:31:43.269735+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/T5RNNUIMUV62LJPWZCGDVGPIPE","json":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE.json","graph_json":"https://pith.science/api/pith-number/T5RNNUIMUV62LJPWZCGDVGPIPE/graph.json","events_json":"https://pith.science/api/pith-number/T5RNNUIMUV62LJPWZCGDVGPIPE/events.json","paper":"https://pith.science/paper/T5RNNUIM"},"agent_actions":{"view_html":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE","download_json":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE.json","view_paper":"https://pith.science/paper/T5RNNUIM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.01915&json=true","fetch_graph":"https://pith.science/api/pith-number/T5RNNUIMUV62LJPWZCGDVGPIPE/graph.json","fetch_events":"https://pith.science/api/pith-number/T5RNNUIMUV62LJPWZCGDVGPIPE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE/action/storage_attestation","attest_author":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE/action/author_attestation","sign_citation":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE/action/citation_signature","submit_replication":"https://pith.science/pith/T5RNNUIMUV62LJPWZCGDVGPIPE/action/replication_record"}},"created_at":"2026-05-18T00:42:50.826545+00:00","updated_at":"2026-05-18T00:42:50.826545+00:00"}