{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VKUEYLSRZ52YGDJAAL4VEC6V42","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2c1b877d7c14d4363f83745834701355647e8761d6cf9e30921e354e101e2e6b","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-02T21:29:01Z","title_canon_sha256":"579fe320028bd6f9cc94112c101119dd5d48b9fe4b1e7dfdc8bf5c722b160b41"},"schema_version":"1.0","source":{"id":"2206.01310","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.01310","created_at":"2026-07-05T05:51:25Z"},{"alias_kind":"arxiv_version","alias_value":"2206.01310v2","created_at":"2026-07-05T05:51:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.01310","created_at":"2026-07-05T05:51:25Z"},{"alias_kind":"pith_short_12","alias_value":"VKUEYLSRZ52Y","created_at":"2026-07-05T05:51:25Z"},{"alias_kind":"pith_short_16","alias_value":"VKUEYLSRZ52YGDJA","created_at":"2026-07-05T05:51:25Z"},{"alias_kind":"pith_short_8","alias_value":"VKUEYLSR","created_at":"2026-07-05T05:51:25Z"}],"graph_snapshots":[{"event_id":"sha256:e007701200d93996e8331ec81d8bd5bf3bf5944ae4363f32e01e9d50a617f4cf","target":"graph","created_at":"2026-07-05T05:51:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2206.01310/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Restricted Boltzmann Machines are simple and powerful generative models that can encode any complex dataset. Despite all their advantages, in practice the trainings are often unstable and it is difficult to assess their quality because the dynamics are affected by extremely slow time dependencies. This situation becomes critical when dealing with low-dimensional clustered datasets, where the time required to sample ergodically the trained models becomes computationally prohibitive. In this work, we show that this divergence of Monte Carlo mixing times is related to a phenomenon of phase coexis","authors_text":"Aur\\'elien Decelle, Beatriz Seoane, Cyril FURTLEHNER, Nicolas B\\'ereux","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","physics.comp-ph"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-02T21:29:01Z","title":"Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.01310","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:38cc193126d248a3e8c9293d4b1a63cd1a6c68bf53a48048ac571bd18e65d56f","target":"record","created_at":"2026-07-05T05:51:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2c1b877d7c14d4363f83745834701355647e8761d6cf9e30921e354e101e2e6b","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-02T21:29:01Z","title_canon_sha256":"579fe320028bd6f9cc94112c101119dd5d48b9fe4b1e7dfdc8bf5c722b160b41"},"schema_version":"1.0","source":{"id":"2206.01310","kind":"arxiv","version":2}},"canonical_sha256":"aaa84c2e51cf75830d2002f9520bd5e684e8ad5b7276f9b2f0da7895d7065a7e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aaa84c2e51cf75830d2002f9520bd5e684e8ad5b7276f9b2f0da7895d7065a7e","first_computed_at":"2026-07-05T05:51:25.868791Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:25.868791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TcvC3bB0O0sjOyP7GFZKP9IsHF3zlA04Y9662GnZpouQmEYxNoi3Zpb9RIMWpTJh5jqhU3blSv3ZGd+aDOkvAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:25.869419Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.01310","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38cc193126d248a3e8c9293d4b1a63cd1a6c68bf53a48048ac571bd18e65d56f","sha256:e007701200d93996e8331ec81d8bd5bf3bf5944ae4363f32e01e9d50a617f4cf"],"state_sha256":"4cd3aa1d66aa58778981ac750e4bda1e1d259bc439de92793501ad9f98ee10c6"}