{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:DXIZJOXYFUYOZD3M2I35R4WPEY","short_pith_number":"pith:DXIZJOXY","schema_version":"1.0","canonical_sha256":"1dd194baf82d30ec8f6cd237d8f2cf26379d96c3e913b170b14a6aa454c9bf5b","source":{"kind":"arxiv","id":"1303.0616","version":3},"attestation_state":"computed","paper":{"title":"Assessment of various natural orbitals as the basis of large active space density matrix renormalization group calculations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.chem-ph"],"primary_cat":"cond-mat.str-el","authors_text":"Haibo Ma, Yingjin Ma","submitted_at":"2013-03-04T06:53:36Z","abstract_excerpt":"It is well-known that not only the orbital ordering but also the choice of the orbitals themselves as the basis may significantly influence the computational efficiency of density-matrix renormalization group (DMRG) calculations. In this study, for assessing the efficiency of using various natural orbitals (NOs) as the DMRG basis, we performed benchmark DMRG calculations with different bases, which included the NOs obtained by various traditional electron correlation methods, as well as NOs acquired from preliminary moderate DMRG calculations (e.g., preserved states less than 500). The tested "},"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":"1303.0616","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.str-el","submitted_at":"2013-03-04T06:53:36Z","cross_cats_sorted":["physics.chem-ph"],"title_canon_sha256":"ecf6ad6f24d07543298aa88364d8914408ae9d39fd7d01b0a80ef57e116f26a5","abstract_canon_sha256":"cebbc332a6c96a5e4e777618c71ecbf13b49f8294ed6716b12efd65cbf1a64b4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:21:00.470969Z","signature_b64":"jdzDks5TWsIIKCgBsNEHBT733GfUKQRn5pA1kdWHOIUrKxXINe1gMyLWEnSf827oDsF2X8pys/U8lmIhf4KcCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1dd194baf82d30ec8f6cd237d8f2cf26379d96c3e913b170b14a6aa454c9bf5b","last_reissued_at":"2026-05-18T03:21:00.470047Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:21:00.470047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Assessment of various natural orbitals as the basis of large active space density matrix renormalization group calculations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.chem-ph"],"primary_cat":"cond-mat.str-el","authors_text":"Haibo Ma, Yingjin Ma","submitted_at":"2013-03-04T06:53:36Z","abstract_excerpt":"It is well-known that not only the orbital ordering but also the choice of the orbitals themselves as the basis may significantly influence the computational efficiency of density-matrix renormalization group (DMRG) calculations. In this study, for assessing the efficiency of using various natural orbitals (NOs) as the DMRG basis, we performed benchmark DMRG calculations with different bases, which included the NOs obtained by various traditional electron correlation methods, as well as NOs acquired from preliminary moderate DMRG calculations (e.g., preserved states less than 500). The tested "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.0616","kind":"arxiv","version":3},"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":"1303.0616","created_at":"2026-05-18T03:21:00.470249+00:00"},{"alias_kind":"arxiv_version","alias_value":"1303.0616v3","created_at":"2026-05-18T03:21:00.470249+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.0616","created_at":"2026-05-18T03:21:00.470249+00:00"},{"alias_kind":"pith_short_12","alias_value":"DXIZJOXYFUYO","created_at":"2026-05-18T12:27:43.054852+00:00"},{"alias_kind":"pith_short_16","alias_value":"DXIZJOXYFUYOZD3M","created_at":"2026-05-18T12:27:43.054852+00:00"},{"alias_kind":"pith_short_8","alias_value":"DXIZJOXY","created_at":"2026-05-18T12:27:43.054852+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/DXIZJOXYFUYOZD3M2I35R4WPEY","json":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY.json","graph_json":"https://pith.science/api/pith-number/DXIZJOXYFUYOZD3M2I35R4WPEY/graph.json","events_json":"https://pith.science/api/pith-number/DXIZJOXYFUYOZD3M2I35R4WPEY/events.json","paper":"https://pith.science/paper/DXIZJOXY"},"agent_actions":{"view_html":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY","download_json":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY.json","view_paper":"https://pith.science/paper/DXIZJOXY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1303.0616&json=true","fetch_graph":"https://pith.science/api/pith-number/DXIZJOXYFUYOZD3M2I35R4WPEY/graph.json","fetch_events":"https://pith.science/api/pith-number/DXIZJOXYFUYOZD3M2I35R4WPEY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY/action/storage_attestation","attest_author":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY/action/author_attestation","sign_citation":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY/action/citation_signature","submit_replication":"https://pith.science/pith/DXIZJOXYFUYOZD3M2I35R4WPEY/action/replication_record"}},"created_at":"2026-05-18T03:21:00.470249+00:00","updated_at":"2026-05-18T03:21:00.470249+00:00"}