{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6QKS2YPXKNBVZEBFT3OXOYIQMO","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":"5c6ca07787d9b7bf05166d528c8c07918e3a8a362c7fb4e0a98ab3a800ccec80","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-15T12:52:02Z","title_canon_sha256":"16e8856db15b7ff603a1b2188ec4a3c978072891c5b1dece74aff48116b83f0e"},"schema_version":"1.0","source":{"id":"2411.10153","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10153","created_at":"2026-07-05T10:29:26Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10153v3","created_at":"2026-07-05T10:29:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10153","created_at":"2026-07-05T10:29:26Z"},{"alias_kind":"pith_short_12","alias_value":"6QKS2YPXKNBV","created_at":"2026-07-05T10:29:26Z"},{"alias_kind":"pith_short_16","alias_value":"6QKS2YPXKNBVZEBF","created_at":"2026-07-05T10:29:26Z"},{"alias_kind":"pith_short_8","alias_value":"6QKS2YPX","created_at":"2026-07-05T10:29:26Z"}],"graph_snapshots":[{"event_id":"sha256:3df2fc1ed595813f8e52ac22642f948e7fe7d4631e058345afde4609658a5ffa","target":"graph","created_at":"2026-07-05T10:29:26Z","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/2411.10153/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a unifying framework for methods that perform probabilistic online learning in non-stationary environments. We call the framework BONE, which stands for generalised (B)ayesian (O)nline learning in (N)on-stationary (E)nvironments. BONE provides a common structure to tackle a variety of problems, including online continual learning, prequential forecasting, and contextual bandits. The framework requires specifying three modelling choices: (i) a model for measurements (e.g., a neural network), (ii) an auxiliary process to model non-stationarity (e.g., the time since the last changepoin","authors_text":"Alexander Y. Shestopaloff, Gerardo Duran-Martin, Kevin Murphy, Leandro S\\'anchez-Betancourt","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-15T12:52:02Z","title":"A unifying framework for generalised Bayesian online learning in non-stationary environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10153","kind":"arxiv","version":3},"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":"sha256:200b7d1f3f5549f97e8ffae3b524267ef12d2ad55883cbe50c18309f674318f9","target":"record","created_at":"2026-07-05T10:29:26Z","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":"5c6ca07787d9b7bf05166d528c8c07918e3a8a362c7fb4e0a98ab3a800ccec80","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-15T12:52:02Z","title_canon_sha256":"16e8856db15b7ff603a1b2188ec4a3c978072891c5b1dece74aff48116b83f0e"},"schema_version":"1.0","source":{"id":"2411.10153","kind":"arxiv","version":3}},"canonical_sha256":"f4152d61f753435c90259edd776110639d2624bba6e046d4b232e155c02b0e34","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f4152d61f753435c90259edd776110639d2624bba6e046d4b232e155c02b0e34","first_computed_at":"2026-07-05T10:29:26.825872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:29:26.825872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y/FjewO+vPYV+HXSchLULE8sggd1hdGlr3s51A/wRuDUQPnK9lAvTfaSQhu4IRCfJMdce/oUdSkb9u7VjrQPAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:29:26.826386Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.10153","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:200b7d1f3f5549f97e8ffae3b524267ef12d2ad55883cbe50c18309f674318f9","sha256:3df2fc1ed595813f8e52ac22642f948e7fe7d4631e058345afde4609658a5ffa"],"state_sha256":"bc7fa1593dfefbcaa28cba718c016760f5201f18e111bb349abe3da2e3297e13"}