{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:N4ZNCYVRFP7DRNFKOI7QMFHZE5","short_pith_number":"pith:N4ZNCYVR","schema_version":"1.0","canonical_sha256":"6f32d162b12bfe38b4aa723f0614f9276c3dc7016af3f2ec33d26ce40f2afbfa","source":{"kind":"arxiv","id":"2412.13320","version":2},"attestation_state":"computed","paper":{"title":"Density Matrix Renormalization Group simulations of the SU(N) Fermi-Hubbard chain implementing the full SU(N) symmetry via Semi-Standard Young Tableaux and Unitary Group Subduction Coefficients","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.str-el","authors_text":"Pierre Nataf","submitted_at":"2024-12-17T20:39:14Z","abstract_excerpt":"We have developed an efficient method for performing density matrix renormalization group (DMRG) simulations of the SU(N) Fermi-Hubbard chain with open boundary conditions, fully leveraging the SU(N) symmetry of the problem. This method extends a previously developed approach for the SU(N) Heisenberg model and relies on the systematic use of the semi-standard Young tableaux (SSYT) basis in a DMRG algorithm `a la White. Specifically, the method aligns the site-by-site growth process of the infinite-size part of the DMRG, in its original formulation, with the site-by-site construction of the SSY"},"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":"2412.13320","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.str-el","submitted_at":"2024-12-17T20:39:14Z","cross_cats_sorted":[],"title_canon_sha256":"1318161e9cc17d4fc523b73850a9b05313dd766fd2bef0efda6a2ba453895230","abstract_canon_sha256":"4d63d17598f442e28fcc0a9c83b4a678c26eba90d3d4d714d97cdbece55265dc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:51.558104Z","signature_b64":"CTARXX+aFMT6wXzOePRviIhQjlcwpTuZbS1gkBrvOwToBKaq7KI+lvy6MDf46RWF9dF1ZPOryCmDDKXuahRZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6f32d162b12bfe38b4aa723f0614f9276c3dc7016af3f2ec33d26ce40f2afbfa","last_reissued_at":"2026-07-05T11:14:51.557602Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:51.557602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Density Matrix Renormalization Group simulations of the SU(N) Fermi-Hubbard chain implementing the full SU(N) symmetry via Semi-Standard Young Tableaux and Unitary Group Subduction Coefficients","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.str-el","authors_text":"Pierre Nataf","submitted_at":"2024-12-17T20:39:14Z","abstract_excerpt":"We have developed an efficient method for performing density matrix renormalization group (DMRG) simulations of the SU(N) Fermi-Hubbard chain with open boundary conditions, fully leveraging the SU(N) symmetry of the problem. This method extends a previously developed approach for the SU(N) Heisenberg model and relies on the systematic use of the semi-standard Young tableaux (SSYT) basis in a DMRG algorithm `a la White. Specifically, the method aligns the site-by-site growth process of the infinite-size part of the DMRG, in its original formulation, with the site-by-site construction of the SSY"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13320","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.13320/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2412.13320","created_at":"2026-07-05T11:14:51.557659+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.13320v2","created_at":"2026-07-05T11:14:51.557659+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13320","created_at":"2026-07-05T11:14:51.557659+00:00"},{"alias_kind":"pith_short_12","alias_value":"N4ZNCYVRFP7D","created_at":"2026-07-05T11:14:51.557659+00:00"},{"alias_kind":"pith_short_16","alias_value":"N4ZNCYVRFP7DRNFK","created_at":"2026-07-05T11:14:51.557659+00:00"},{"alias_kind":"pith_short_8","alias_value":"N4ZNCYVR","created_at":"2026-07-05T11:14:51.557659+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/N4ZNCYVRFP7DRNFKOI7QMFHZE5","json":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5.json","graph_json":"https://pith.science/api/pith-number/N4ZNCYVRFP7DRNFKOI7QMFHZE5/graph.json","events_json":"https://pith.science/api/pith-number/N4ZNCYVRFP7DRNFKOI7QMFHZE5/events.json","paper":"https://pith.science/paper/N4ZNCYVR"},"agent_actions":{"view_html":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5","download_json":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5.json","view_paper":"https://pith.science/paper/N4ZNCYVR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.13320&json=true","fetch_graph":"https://pith.science/api/pith-number/N4ZNCYVRFP7DRNFKOI7QMFHZE5/graph.json","fetch_events":"https://pith.science/api/pith-number/N4ZNCYVRFP7DRNFKOI7QMFHZE5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5/action/storage_attestation","attest_author":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5/action/author_attestation","sign_citation":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5/action/citation_signature","submit_replication":"https://pith.science/pith/N4ZNCYVRFP7DRNFKOI7QMFHZE5/action/replication_record"}},"created_at":"2026-07-05T11:14:51.557659+00:00","updated_at":"2026-07-05T11:14:51.557659+00:00"}