{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QMZXIBBGSBVAXY76PERQ5UOO3Y","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":"057a4b8aeaaa463506f44804bbef1c2acf457891ebee08cac941e9f90511d2f2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-05-30T23:01:41Z","title_canon_sha256":"e6bc75b3d43a02371dd0dffbd1a96e337d77d722da9588de691cdece9117c3a2"},"schema_version":"1.0","source":{"id":"2205.15458","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.15458","created_at":"2026-07-05T04:49:53Z"},{"alias_kind":"arxiv_version","alias_value":"2205.15458v2","created_at":"2026-07-05T04:49:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.15458","created_at":"2026-07-05T04:49:53Z"},{"alias_kind":"pith_short_12","alias_value":"QMZXIBBGSBVA","created_at":"2026-07-05T04:49:53Z"},{"alias_kind":"pith_short_16","alias_value":"QMZXIBBGSBVAXY76","created_at":"2026-07-05T04:49:53Z"},{"alias_kind":"pith_short_8","alias_value":"QMZXIBBG","created_at":"2026-07-05T04:49:53Z"}],"graph_snapshots":[{"event_id":"sha256:725321c025a499840812adf63f5be65baffe9d47203a08048e5d9c8485efdacd","target":"graph","created_at":"2026-07-05T04:49:53Z","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/2205.15458/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent progress in machine learning methods, and the emerging availability of programmable interfaces for scanning probe microscopes (SPMs), have propelled automated and autonomous microscopies to the forefront of attention of the scientific community. However, enabling automated microscopy requires the development of task-specific machine learning methods, understanding the interplay between physics discovery and machine learning, and fully defined discovery workflows. This, in turn, requires balancing the physical intuition and prior knowledge of the domain scientist with rewards that define","authors_text":"Kyle Kelley, Maxim Ziatdinov, Rama Vasudevan, Sergei V. Kalinin, Yongtao Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-05-30T23:01:41Z","title":"Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.15458","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":"sha256:05501a970cea57fac6d78c340c1c39b144323eb05d5e3313f1c39025219e382f","target":"record","created_at":"2026-07-05T04:49:53Z","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":"057a4b8aeaaa463506f44804bbef1c2acf457891ebee08cac941e9f90511d2f2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-05-30T23:01:41Z","title_canon_sha256":"e6bc75b3d43a02371dd0dffbd1a96e337d77d722da9588de691cdece9117c3a2"},"schema_version":"1.0","source":{"id":"2205.15458","kind":"arxiv","version":2}},"canonical_sha256":"8333740426906a0be3fe79230ed1cede373d8064a729add07402a7a3f8cf64d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8333740426906a0be3fe79230ed1cede373d8064a729add07402a7a3f8cf64d1","first_computed_at":"2026-07-05T04:49:53.548840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:49:53.548840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yv3mHDy3Gktur9zrSdhBB1OBRHn+7RcCZrF1hN8KJZyevxPYIKbQjm0hizlyZUzRlSmvoorTKCO4nnBpdglfCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:49:53.549381Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.15458","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05501a970cea57fac6d78c340c1c39b144323eb05d5e3313f1c39025219e382f","sha256:725321c025a499840812adf63f5be65baffe9d47203a08048e5d9c8485efdacd"],"state_sha256":"4ec81da334ec6044857120b3384ae60a90d593f224e57bcf2a827c51766d1ae4"}