{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:HKPK7QT74FMMEYQVDF45746VOF","short_pith_number":"pith:HKPK7QT7","schema_version":"1.0","canonical_sha256":"3a9eafc27fe158c262151979dff3d5717cd55ec1764fa143797d6410290c2a6b","source":{"kind":"arxiv","id":"1212.3975","version":1},"attestation_state":"computed","paper":{"title":"Scaling Properties of a Parallel Implementation of the Multicanonical Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Johannes Zierenberg, Martin Marenz, Wolfhard Janke","submitted_at":"2012-12-17T12:50:09Z","abstract_excerpt":"The multicanonical method has been proven powerful for statistical investigations of lattice and off-lattice systems throughout the last two decades. We discuss an intuitive but very efficient parallel implementation of this algorithm and analyze its scaling properties for discrete energy systems, namely the Ising model and the 8-state Potts model. The parallelization relies on independent equilibrium simulations in each iteration with identical weights, merging their statistics in order to obtain estimates for the successive weights. With good care, this allows faster investigations of large "},"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":"1212.3975","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2012-12-17T12:50:09Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"2fbcfc863f782174f861d0d0ea5268b40afe874783298c66c8f3de517991259b","abstract_canon_sha256":"93141712071e3bf64a2c67b58bbfe4f457c4fdcfaf537347c68a439c35d39566"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:09.851149Z","signature_b64":"c/BHuehaoNslk98cH2M97Ds3RVYJGPyCARAAYwDr9316wP3GdBX7M9OzpDOxMnQI9SKk3/i0FfkAbPne3wDXCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a9eafc27fe158c262151979dff3d5717cd55ec1764fa143797d6410290c2a6b","last_reissued_at":"2026-05-18T03:05:09.850469Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:09.850469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Scaling Properties of a Parallel Implementation of the Multicanonical Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Johannes Zierenberg, Martin Marenz, Wolfhard Janke","submitted_at":"2012-12-17T12:50:09Z","abstract_excerpt":"The multicanonical method has been proven powerful for statistical investigations of lattice and off-lattice systems throughout the last two decades. We discuss an intuitive but very efficient parallel implementation of this algorithm and analyze its scaling properties for discrete energy systems, namely the Ising model and the 8-state Potts model. The parallelization relies on independent equilibrium simulations in each iteration with identical weights, merging their statistics in order to obtain estimates for the successive weights. With good care, this allows faster investigations of large "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1212.3975","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":"1212.3975","created_at":"2026-05-18T03:05:09.850575+00:00"},{"alias_kind":"arxiv_version","alias_value":"1212.3975v1","created_at":"2026-05-18T03:05:09.850575+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1212.3975","created_at":"2026-05-18T03:05:09.850575+00:00"},{"alias_kind":"pith_short_12","alias_value":"HKPK7QT74FMM","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_16","alias_value":"HKPK7QT74FMMEYQV","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_8","alias_value":"HKPK7QT7","created_at":"2026-05-18T12:27:09.501522+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/HKPK7QT74FMMEYQVDF45746VOF","json":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF.json","graph_json":"https://pith.science/api/pith-number/HKPK7QT74FMMEYQVDF45746VOF/graph.json","events_json":"https://pith.science/api/pith-number/HKPK7QT74FMMEYQVDF45746VOF/events.json","paper":"https://pith.science/paper/HKPK7QT7"},"agent_actions":{"view_html":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF","download_json":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF.json","view_paper":"https://pith.science/paper/HKPK7QT7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1212.3975&json=true","fetch_graph":"https://pith.science/api/pith-number/HKPK7QT74FMMEYQVDF45746VOF/graph.json","fetch_events":"https://pith.science/api/pith-number/HKPK7QT74FMMEYQVDF45746VOF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF/action/storage_attestation","attest_author":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF/action/author_attestation","sign_citation":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF/action/citation_signature","submit_replication":"https://pith.science/pith/HKPK7QT74FMMEYQVDF45746VOF/action/replication_record"}},"created_at":"2026-05-18T03:05:09.850575+00:00","updated_at":"2026-05-18T03:05:09.850575+00:00"}