{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:1995:LYFHKQYQLU2TAP3SU5P5CHXIDE","short_pith_number":"pith:LYFHKQYQ","schema_version":"1.0","canonical_sha256":"5e0a7543105d35303f72a75fd11ee8192c67e9a2b0d761c8ee26ac32c2525c52","source":{"kind":"arxiv","id":"cond-mat/9503055","version":1},"attestation_state":"computed","paper":{"title":"A Constrained Path Quantum Monte Carlo Method for Fermion Ground States","license":"","headline":"","cross_cats":[],"primary_cat":"cond-mat","authors_text":"J. Carlson, J.E. Gubernatis, Shiwei Zhang","submitted_at":"1995-03-10T06:26:15Z","abstract_excerpt":"We propose a new quantum Monte Carlo algorithm to compute fermion ground-state properties. The ground state is projected from an initial wavefunction by a branching random walk in an over-complete basis space of Slater determinants. By constraining the determinants according to a trial wavefunction $|\\Psi_T \\rangle$, we remove the exponential decay of signal-to-noise ratio characteristic of the sign problem. The method is variational and is exact if $|\\Psi_T\\rangle$ is exact. We report results on the two-dimensional Hubbard model up to size $16\\times 16$, for various electron fillings and inte"},"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":"cond-mat/9503055","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cond-mat","submitted_at":"1995-03-10T06:26:15Z","cross_cats_sorted":[],"title_canon_sha256":"fab436d81e702c7c29c645610ceba9ddea56876dabca9d7b993d82f5e47baf3b","abstract_canon_sha256":"e95b85a90f7aef7f6e234a37e10d7ed22ffa8cb1bcc59e98a69c5f3e78226f8e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:07:11.630183Z","signature_b64":"YTVsQ7UtUJrgJAf6g1RGWsTpv9+YXexduzpkOy7ng7D9DFfh6PqXxKSa8a35omNhz8D97gD+pXIIGoTIDBnoBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e0a7543105d35303f72a75fd11ee8192c67e9a2b0d761c8ee26ac32c2525c52","last_reissued_at":"2026-05-18T01:07:11.629735Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:07:11.629735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Constrained Path Quantum Monte Carlo Method for Fermion Ground States","license":"","headline":"","cross_cats":[],"primary_cat":"cond-mat","authors_text":"J. Carlson, J.E. Gubernatis, Shiwei Zhang","submitted_at":"1995-03-10T06:26:15Z","abstract_excerpt":"We propose a new quantum Monte Carlo algorithm to compute fermion ground-state properties. The ground state is projected from an initial wavefunction by a branching random walk in an over-complete basis space of Slater determinants. By constraining the determinants according to a trial wavefunction $|\\Psi_T \\rangle$, we remove the exponential decay of signal-to-noise ratio characteristic of the sign problem. The method is variational and is exact if $|\\Psi_T\\rangle$ is exact. We report results on the two-dimensional Hubbard model up to size $16\\times 16$, for various electron fillings and inte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cond-mat/9503055","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":"cond-mat/9503055","created_at":"2026-05-18T01:07:11.629806+00:00"},{"alias_kind":"arxiv_version","alias_value":"cond-mat/9503055v1","created_at":"2026-05-18T01:07:11.629806+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cond-mat/9503055","created_at":"2026-05-18T01:07:11.629806+00:00"},{"alias_kind":"pith_short_12","alias_value":"LYFHKQYQLU2T","created_at":"2026-05-18T12:25:47.700082+00:00"},{"alias_kind":"pith_short_16","alias_value":"LYFHKQYQLU2TAP3S","created_at":"2026-05-18T12:25:47.700082+00:00"},{"alias_kind":"pith_short_8","alias_value":"LYFHKQYQ","created_at":"2026-05-18T12:25:47.700082+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2507.23748","citing_title":"Applying the Worldvolume Hybrid Monte Carlo method to the Hubbard model away from half filling","ref_index":24,"is_internal_anchor":true},{"citing_arxiv_id":"2605.14965","citing_title":"Analyzing the two-dimensional doped Hubbard model with the Worldvolume HMC method","ref_index":5,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE","json":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE.json","graph_json":"https://pith.science/api/pith-number/LYFHKQYQLU2TAP3SU5P5CHXIDE/graph.json","events_json":"https://pith.science/api/pith-number/LYFHKQYQLU2TAP3SU5P5CHXIDE/events.json","paper":"https://pith.science/paper/LYFHKQYQ"},"agent_actions":{"view_html":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE","download_json":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE.json","view_paper":"https://pith.science/paper/LYFHKQYQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=cond-mat/9503055&json=true","fetch_graph":"https://pith.science/api/pith-number/LYFHKQYQLU2TAP3SU5P5CHXIDE/graph.json","fetch_events":"https://pith.science/api/pith-number/LYFHKQYQLU2TAP3SU5P5CHXIDE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE/action/storage_attestation","attest_author":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE/action/author_attestation","sign_citation":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE/action/citation_signature","submit_replication":"https://pith.science/pith/LYFHKQYQLU2TAP3SU5P5CHXIDE/action/replication_record"}},"created_at":"2026-05-18T01:07:11.629806+00:00","updated_at":"2026-05-18T01:07:11.629806+00:00"}