{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:ETS2HHIIV37DNWQYYB7RJVJY5G","short_pith_number":"pith:ETS2HHII","schema_version":"1.0","canonical_sha256":"24e5a39d08aefe36da18c07f14d538e9a1bd18a65f49b6650ddf9ae582c31f29","source":{"kind":"arxiv","id":"1504.06477","version":2},"attestation_state":"computed","paper":{"title":"Linear interpolation method in ensemble Kohn-Sham and range-separated density-functional approximations for excited states","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.chem-ph","authors_text":"Bruno Senjean, Emmanuel Fromager, Hans J{\\o}rgen Aa. Jensen, Stefan Knecht","submitted_at":"2015-04-24T11:44:04Z","abstract_excerpt":"Gross-Oliveira-Kohn density functional theory (GOK-DFT) for ensembles is in principle very attractive, but has been hard to use in practice. A novel, practical model based on GOK-DFT for the calculation of electronic excitation energies is discussed. The new model relies on two modifications of GOK-DFT: use of range separation and use of the slope of the linearly-interpolated ensemble energy, rather than orbital energies. The range-separated approach is appealing as it enables the rigorous formulation of a multi-determinant state-averaged DFT method. In the exact theory, the short-range densit"},"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":"1504.06477","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2015-04-24T11:44:04Z","cross_cats_sorted":[],"title_canon_sha256":"1c570160ca92651d5c80d67c7d8c99ca867a0710b836bdd04e31d52f4459d1a9","abstract_canon_sha256":"63ca20221d0b4bf06409ebae43b0873b7b6e82e7d3a34df7cf8c3efa22da8be1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:36:18.031817Z","signature_b64":"6FHbtyGL76b0kplSiWQL8iwopWgXgesFLv5GTVeSLSRIUMTfv/36+DZ4qtn+CUbjQ379+Nb7tsjMDdYmV1bAAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24e5a39d08aefe36da18c07f14d538e9a1bd18a65f49b6650ddf9ae582c31f29","last_reissued_at":"2026-05-18T01:36:18.031209Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:36:18.031209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Linear interpolation method in ensemble Kohn-Sham and range-separated density-functional approximations for excited states","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.chem-ph","authors_text":"Bruno Senjean, Emmanuel Fromager, Hans J{\\o}rgen Aa. Jensen, Stefan Knecht","submitted_at":"2015-04-24T11:44:04Z","abstract_excerpt":"Gross-Oliveira-Kohn density functional theory (GOK-DFT) for ensembles is in principle very attractive, but has been hard to use in practice. A novel, practical model based on GOK-DFT for the calculation of electronic excitation energies is discussed. The new model relies on two modifications of GOK-DFT: use of range separation and use of the slope of the linearly-interpolated ensemble energy, rather than orbital energies. The range-separated approach is appealing as it enables the rigorous formulation of a multi-determinant state-averaged DFT method. In the exact theory, the short-range densit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.06477","kind":"arxiv","version":2},"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":"1504.06477","created_at":"2026-05-18T01:36:18.031290+00:00"},{"alias_kind":"arxiv_version","alias_value":"1504.06477v2","created_at":"2026-05-18T01:36:18.031290+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.06477","created_at":"2026-05-18T01:36:18.031290+00:00"},{"alias_kind":"pith_short_12","alias_value":"ETS2HHIIV37D","created_at":"2026-05-18T12:29:19.899920+00:00"},{"alias_kind":"pith_short_16","alias_value":"ETS2HHIIV37DNWQY","created_at":"2026-05-18T12:29:19.899920+00:00"},{"alias_kind":"pith_short_8","alias_value":"ETS2HHII","created_at":"2026-05-18T12:29:19.899920+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/ETS2HHIIV37DNWQYYB7RJVJY5G","json":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G.json","graph_json":"https://pith.science/api/pith-number/ETS2HHIIV37DNWQYYB7RJVJY5G/graph.json","events_json":"https://pith.science/api/pith-number/ETS2HHIIV37DNWQYYB7RJVJY5G/events.json","paper":"https://pith.science/paper/ETS2HHII"},"agent_actions":{"view_html":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G","download_json":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G.json","view_paper":"https://pith.science/paper/ETS2HHII","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1504.06477&json=true","fetch_graph":"https://pith.science/api/pith-number/ETS2HHIIV37DNWQYYB7RJVJY5G/graph.json","fetch_events":"https://pith.science/api/pith-number/ETS2HHIIV37DNWQYYB7RJVJY5G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G/action/storage_attestation","attest_author":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G/action/author_attestation","sign_citation":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G/action/citation_signature","submit_replication":"https://pith.science/pith/ETS2HHIIV37DNWQYYB7RJVJY5G/action/replication_record"}},"created_at":"2026-05-18T01:36:18.031290+00:00","updated_at":"2026-05-18T01:36:18.031290+00:00"}