{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:CUTOYG2XF3AGQS6W2N7OS6WZHY","short_pith_number":"pith:CUTOYG2X","schema_version":"1.0","canonical_sha256":"1526ec1b572ec0684bd6d37ee97ad93e0119345b39aceda55c3f1d299d07ead1","source":{"kind":"arxiv","id":"1903.08482","version":3},"attestation_state":"computed","paper":{"title":"Investigating ultrafast quantum magnetism with machine learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mes-hall"],"primary_cat":"cond-mat.str-el","authors_text":"G. Fabiani, J. H. Mentink","submitted_at":"2019-03-20T12:37:52Z","abstract_excerpt":"We investigate the efficiency of the recently proposed Restricted Boltzmann Machine (RBM) representation of quantum many-body states to study both the static properties and quantum spin dynamics in the two-dimensional Heisenberg model on a square lattice. For static properties we find close agreement with numerically exact Quantum Monte Carlo results in the thermodynamical limit. For dynamics and small systems, we find excellent agreement with exact diagonalization, while for systems up to N=256 spins close consistency with interacting spin-wave theory is obtained. In all cases the accuracy co"},"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":"1903.08482","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.str-el","submitted_at":"2019-03-20T12:37:52Z","cross_cats_sorted":["cond-mat.mes-hall"],"title_canon_sha256":"ecc9e2a31698f059d12747773569753bbb8aaf356a77b2ad629cd0ad1e45715f","abstract_canon_sha256":"83b05a1da44f2ad221d0d23cbaaa007d4bf27fbe5a02e2255ab06be77942a00c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:09.354293Z","signature_b64":"LVVuMcaSv9X4OoAzP7oNV2sZiih13d80yEu7/B468KAIaae2h9XaDUbBgJwp11lwm6bm3If2J+M7TcuMleDQDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1526ec1b572ec0684bd6d37ee97ad93e0119345b39aceda55c3f1d299d07ead1","last_reissued_at":"2026-05-17T23:41:09.353658Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:09.353658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Investigating ultrafast quantum magnetism with machine learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mes-hall"],"primary_cat":"cond-mat.str-el","authors_text":"G. Fabiani, J. H. Mentink","submitted_at":"2019-03-20T12:37:52Z","abstract_excerpt":"We investigate the efficiency of the recently proposed Restricted Boltzmann Machine (RBM) representation of quantum many-body states to study both the static properties and quantum spin dynamics in the two-dimensional Heisenberg model on a square lattice. For static properties we find close agreement with numerically exact Quantum Monte Carlo results in the thermodynamical limit. For dynamics and small systems, we find excellent agreement with exact diagonalization, while for systems up to N=256 spins close consistency with interacting spin-wave theory is obtained. In all cases the accuracy co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.08482","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":"1903.08482","created_at":"2026-05-17T23:41:09.353748+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.08482v3","created_at":"2026-05-17T23:41:09.353748+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.08482","created_at":"2026-05-17T23:41:09.353748+00:00"},{"alias_kind":"pith_short_12","alias_value":"CUTOYG2XF3AG","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"CUTOYG2XF3AGQS6W","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"CUTOYG2X","created_at":"2026-05-18T12:33:15.570797+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/CUTOYG2XF3AGQS6W2N7OS6WZHY","json":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY.json","graph_json":"https://pith.science/api/pith-number/CUTOYG2XF3AGQS6W2N7OS6WZHY/graph.json","events_json":"https://pith.science/api/pith-number/CUTOYG2XF3AGQS6W2N7OS6WZHY/events.json","paper":"https://pith.science/paper/CUTOYG2X"},"agent_actions":{"view_html":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY","download_json":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY.json","view_paper":"https://pith.science/paper/CUTOYG2X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.08482&json=true","fetch_graph":"https://pith.science/api/pith-number/CUTOYG2XF3AGQS6W2N7OS6WZHY/graph.json","fetch_events":"https://pith.science/api/pith-number/CUTOYG2XF3AGQS6W2N7OS6WZHY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY/action/storage_attestation","attest_author":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY/action/author_attestation","sign_citation":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY/action/citation_signature","submit_replication":"https://pith.science/pith/CUTOYG2XF3AGQS6W2N7OS6WZHY/action/replication_record"}},"created_at":"2026-05-17T23:41:09.353748+00:00","updated_at":"2026-05-17T23:41:09.353748+00:00"}