{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:3NHB75TBOCIQQ4O7WJINHB2GRE","short_pith_number":"pith:3NHB75TB","schema_version":"1.0","canonical_sha256":"db4e1ff66170910871dfb250d38746891a31e2fce0bb87049cae8222ca1fe802","source":{"kind":"arxiv","id":"1208.6190","version":1},"attestation_state":"computed","paper":{"title":"Rare-Event Sampling: Occupation-Based Performance Measures for Parallel Tempering and Infinite Swapping Monte Carlo Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"cond-mat.stat-mech","authors_text":"David L. Freeman, J. D. Doll, Nuria Plattner, Paul Dupuis, Yufei Liu","submitted_at":"2012-08-30T14:36:45Z","abstract_excerpt":"In the present paper we identify a rigorous property of a number of tempering-based Monte Carlo sampling methods, including parallel tempering as well as partial and infinite swapping. Based on this property we develop a variety of performance measures for such rare-event sampling methods that are broadly applicable, informative, and straightforward to implement. We illustrate the use of these performance measures with a series of applications involving the equilibrium properties of simple Lennard-Jones clusters, applications for which the performance levels of partial and infinite swapping ap"},"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":"1208.6190","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2012-08-30T14:36:45Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"4d2a01c952fcb8f682d0e5b8844ec096555c517f8b86007e595e36a46360acb9","abstract_canon_sha256":"76667d4bc9ae7351233f7952704cfd28642bf9f06824f569ed80b099fa0bddaa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:54:49.582855Z","signature_b64":"PFRkPf6IwF38QAKeAmlzsUEwOlOLGf2rcVRQxA6O+0jsMqhh0c9+9GXScggtMV5p0yUlv2RtgunDg9KWhFjPBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db4e1ff66170910871dfb250d38746891a31e2fce0bb87049cae8222ca1fe802","last_reissued_at":"2026-05-18T01:54:49.582110Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:54:49.582110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rare-Event Sampling: Occupation-Based Performance Measures for Parallel Tempering and Infinite Swapping Monte Carlo Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"cond-mat.stat-mech","authors_text":"David L. Freeman, J. D. Doll, Nuria Plattner, Paul Dupuis, Yufei Liu","submitted_at":"2012-08-30T14:36:45Z","abstract_excerpt":"In the present paper we identify a rigorous property of a number of tempering-based Monte Carlo sampling methods, including parallel tempering as well as partial and infinite swapping. Based on this property we develop a variety of performance measures for such rare-event sampling methods that are broadly applicable, informative, and straightforward to implement. We illustrate the use of these performance measures with a series of applications involving the equilibrium properties of simple Lennard-Jones clusters, applications for which the performance levels of partial and infinite swapping ap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1208.6190","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":"1208.6190","created_at":"2026-05-18T01:54:49.582224+00:00"},{"alias_kind":"arxiv_version","alias_value":"1208.6190v1","created_at":"2026-05-18T01:54:49.582224+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1208.6190","created_at":"2026-05-18T01:54:49.582224+00:00"},{"alias_kind":"pith_short_12","alias_value":"3NHB75TBOCIQ","created_at":"2026-05-18T12:26:53.410803+00:00"},{"alias_kind":"pith_short_16","alias_value":"3NHB75TBOCIQQ4O7","created_at":"2026-05-18T12:26:53.410803+00:00"},{"alias_kind":"pith_short_8","alias_value":"3NHB75TB","created_at":"2026-05-18T12:26:53.410803+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/3NHB75TBOCIQQ4O7WJINHB2GRE","json":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE.json","graph_json":"https://pith.science/api/pith-number/3NHB75TBOCIQQ4O7WJINHB2GRE/graph.json","events_json":"https://pith.science/api/pith-number/3NHB75TBOCIQQ4O7WJINHB2GRE/events.json","paper":"https://pith.science/paper/3NHB75TB"},"agent_actions":{"view_html":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE","download_json":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE.json","view_paper":"https://pith.science/paper/3NHB75TB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1208.6190&json=true","fetch_graph":"https://pith.science/api/pith-number/3NHB75TBOCIQQ4O7WJINHB2GRE/graph.json","fetch_events":"https://pith.science/api/pith-number/3NHB75TBOCIQQ4O7WJINHB2GRE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE/action/storage_attestation","attest_author":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE/action/author_attestation","sign_citation":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE/action/citation_signature","submit_replication":"https://pith.science/pith/3NHB75TBOCIQQ4O7WJINHB2GRE/action/replication_record"}},"created_at":"2026-05-18T01:54:49.582224+00:00","updated_at":"2026-05-18T01:54:49.582224+00:00"}