{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:ISITXOYGAHG5K2GSSISNCNUWUD","short_pith_number":"pith:ISITXOYG","schema_version":"1.0","canonical_sha256":"44913bbb0601cdd568d29224d13696a0d12b9dd6b8bd0ef300989ae271cd6461","source":{"kind":"arxiv","id":"1904.06032","version":2},"attestation_state":"computed","paper":{"title":"Machine Learning Phase Diagram in the Half-filled One-dimensional Extended Hubbard Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.str-el","authors_text":"Kakeru Sasaki, Kazuya Shinjo, Satoru Hase, Satoshi Ejima, Seiji Yunoki, Shigetoshi Sota, Takami Tohyama","submitted_at":"2019-04-12T05:01:16Z","abstract_excerpt":"We demonstrate that supervised machine learning (ML) with entanglement spectrum can give useful information for constructing phase diagram in the half-filled one-dimensional extended Hubbard model. Combining ML with infinite-size density-matrix renormalization group, we confirm that bond-order-wave phase remains stable in the thermodynamic limit."},"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":"1904.06032","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.str-el","submitted_at":"2019-04-12T05:01:16Z","cross_cats_sorted":[],"title_canon_sha256":"cfa73274c06ae50834dfac49270ba1f75f09d3c40370e9bfdf24ae34410dee19","abstract_canon_sha256":"3f18e1aadcbf70f43b63fedb852e31f19704757cfdc444d29c7c30131b3ae041"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:46:08.868873Z","signature_b64":"8c2NpzieBFMmJvP+03SQU+6D27cQ7Xg2I4RjtXG3B9Lp4m/qScqh0LBiNcI1D05Oh+kYOouAjdydE6B1AdFbBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44913bbb0601cdd568d29224d13696a0d12b9dd6b8bd0ef300989ae271cd6461","last_reissued_at":"2026-05-17T23:46:08.868310Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:46:08.868310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Machine Learning Phase Diagram in the Half-filled One-dimensional Extended Hubbard Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.str-el","authors_text":"Kakeru Sasaki, Kazuya Shinjo, Satoru Hase, Satoshi Ejima, Seiji Yunoki, Shigetoshi Sota, Takami Tohyama","submitted_at":"2019-04-12T05:01:16Z","abstract_excerpt":"We demonstrate that supervised machine learning (ML) with entanglement spectrum can give useful information for constructing phase diagram in the half-filled one-dimensional extended Hubbard model. Combining ML with infinite-size density-matrix renormalization group, we confirm that bond-order-wave phase remains stable in the thermodynamic limit."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.06032","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":"1904.06032","created_at":"2026-05-17T23:46:08.868411+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.06032v2","created_at":"2026-05-17T23:46:08.868411+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.06032","created_at":"2026-05-17T23:46:08.868411+00:00"},{"alias_kind":"pith_short_12","alias_value":"ISITXOYGAHG5","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"ISITXOYGAHG5K2GS","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"ISITXOYG","created_at":"2026-05-18T12:33:18.533446+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/ISITXOYGAHG5K2GSSISNCNUWUD","json":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD.json","graph_json":"https://pith.science/api/pith-number/ISITXOYGAHG5K2GSSISNCNUWUD/graph.json","events_json":"https://pith.science/api/pith-number/ISITXOYGAHG5K2GSSISNCNUWUD/events.json","paper":"https://pith.science/paper/ISITXOYG"},"agent_actions":{"view_html":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD","download_json":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD.json","view_paper":"https://pith.science/paper/ISITXOYG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.06032&json=true","fetch_graph":"https://pith.science/api/pith-number/ISITXOYGAHG5K2GSSISNCNUWUD/graph.json","fetch_events":"https://pith.science/api/pith-number/ISITXOYGAHG5K2GSSISNCNUWUD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD/action/storage_attestation","attest_author":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD/action/author_attestation","sign_citation":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD/action/citation_signature","submit_replication":"https://pith.science/pith/ISITXOYGAHG5K2GSSISNCNUWUD/action/replication_record"}},"created_at":"2026-05-17T23:46:08.868411+00:00","updated_at":"2026-05-17T23:46:08.868411+00:00"}