{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:M7FYIZHVE7KMCRP5KCBLVOR245","short_pith_number":"pith:M7FYIZHV","schema_version":"1.0","canonical_sha256":"67cb8464f527d4c145fd5082baba3ae74585a5739eff8d0e2c401ecdaaddccf1","source":{"kind":"arxiv","id":"1108.3302","version":2},"attestation_state":"computed","paper":{"title":"Improving the efficiency of extended ensemble simulations: The accelerated weight histogram method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","physics.comp-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Jack Lidmar","submitted_at":"2011-08-16T18:13:48Z","abstract_excerpt":"We propose a method for efficient simulations in extended ensembles, useful, e.g., for the study of problems with complex energy landscapes and for free energy calculations. The main difficulty in such simulations is the estimation of the a priori unknown weight parameters needed to produce flat histograms. The method combines several complementary techniques, namely, a Gibbs sampler for the parameter moves, a reweighting procedure to optimize data use, and a Bayesian update allowing for systematic refinement of the free energy estimate. In a certain limit the scheme reduces to the 1/t algorit"},"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":"1108.3302","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2011-08-16T18:13:48Z","cross_cats_sorted":["cond-mat.dis-nn","physics.comp-ph"],"title_canon_sha256":"3933a59f9ed40fa3be048bb96b52cc3393501659584f4b6df676653ae4cf3774","abstract_canon_sha256":"730f4cff587deb5f0cf2a8090b198b8cd10039d736ac45e426a2e21002be5cff"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:54:49.459983Z","signature_b64":"ypOuMDwdWcbgr3KqCLkbXpN6X38z/MVwl3DlUnK/0KF5k/DAI3sQN5dV4en6FX8HwCqZyE4soRsERS6EqazeAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67cb8464f527d4c145fd5082baba3ae74585a5739eff8d0e2c401ecdaaddccf1","last_reissued_at":"2026-05-18T03:54:49.459127Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:54:49.459127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving the efficiency of extended ensemble simulations: The accelerated weight histogram method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","physics.comp-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Jack Lidmar","submitted_at":"2011-08-16T18:13:48Z","abstract_excerpt":"We propose a method for efficient simulations in extended ensembles, useful, e.g., for the study of problems with complex energy landscapes and for free energy calculations. The main difficulty in such simulations is the estimation of the a priori unknown weight parameters needed to produce flat histograms. The method combines several complementary techniques, namely, a Gibbs sampler for the parameter moves, a reweighting procedure to optimize data use, and a Bayesian update allowing for systematic refinement of the free energy estimate. In a certain limit the scheme reduces to the 1/t algorit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1108.3302","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":""},"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":"1108.3302","created_at":"2026-05-18T03:54:49.459258+00:00"},{"alias_kind":"arxiv_version","alias_value":"1108.3302v2","created_at":"2026-05-18T03:54:49.459258+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1108.3302","created_at":"2026-05-18T03:54:49.459258+00:00"},{"alias_kind":"pith_short_12","alias_value":"M7FYIZHVE7KM","created_at":"2026-05-18T12:26:34.985390+00:00"},{"alias_kind":"pith_short_16","alias_value":"M7FYIZHVE7KMCRP5","created_at":"2026-05-18T12:26:34.985390+00:00"},{"alias_kind":"pith_short_8","alias_value":"M7FYIZHV","created_at":"2026-05-18T12:26:34.985390+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/M7FYIZHVE7KMCRP5KCBLVOR245","json":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245.json","graph_json":"https://pith.science/api/pith-number/M7FYIZHVE7KMCRP5KCBLVOR245/graph.json","events_json":"https://pith.science/api/pith-number/M7FYIZHVE7KMCRP5KCBLVOR245/events.json","paper":"https://pith.science/paper/M7FYIZHV"},"agent_actions":{"view_html":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245","download_json":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245.json","view_paper":"https://pith.science/paper/M7FYIZHV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1108.3302&json=true","fetch_graph":"https://pith.science/api/pith-number/M7FYIZHVE7KMCRP5KCBLVOR245/graph.json","fetch_events":"https://pith.science/api/pith-number/M7FYIZHVE7KMCRP5KCBLVOR245/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245/action/storage_attestation","attest_author":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245/action/author_attestation","sign_citation":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245/action/citation_signature","submit_replication":"https://pith.science/pith/M7FYIZHVE7KMCRP5KCBLVOR245/action/replication_record"}},"created_at":"2026-05-18T03:54:49.459258+00:00","updated_at":"2026-05-18T03:54:49.459258+00:00"}