{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UHH3SPAHRTD7DDOQGPJ22N6BYF","short_pith_number":"pith:UHH3SPAH","canonical_record":{"source":{"id":"2304.02484","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T14:54:34Z","cross_cats_sorted":[],"title_canon_sha256":"362e224bd7bf07255b7996af98e4f4c2b0a7621984e0f9620d79fbabb836cd4c","abstract_canon_sha256":"94a89668d1ac2f8b12613a0ace564ad52480a0f4e43a27ccc9671f621048f08e"},"schema_version":"1.0"},"canonical_sha256":"a1cfb93c078cc7f18dd033d3ad37c1c148ec7b754a9dc66913f9254546f45acd","source":{"kind":"arxiv","id":"2304.02484","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02484","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02484v1","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02484","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_12","alias_value":"UHH3SPAHRTD7","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_16","alias_value":"UHH3SPAHRTD7DDOQ","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_8","alias_value":"UHH3SPAH","created_at":"2026-07-05T05:58:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UHH3SPAHRTD7DDOQGPJ22N6BYF","target":"record","payload":{"canonical_record":{"source":{"id":"2304.02484","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T14:54:34Z","cross_cats_sorted":[],"title_canon_sha256":"362e224bd7bf07255b7996af98e4f4c2b0a7621984e0f9620d79fbabb836cd4c","abstract_canon_sha256":"94a89668d1ac2f8b12613a0ace564ad52480a0f4e43a27ccc9671f621048f08e"},"schema_version":"1.0"},"canonical_sha256":"a1cfb93c078cc7f18dd033d3ad37c1c148ec7b754a9dc66913f9254546f45acd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:58:26.096207Z","signature_b64":"oQGwLXyT4eJxoWVpX9J2bACEow5Gso9l8VWmjyakMWwATWwHZncQ2pmYLpbKMCe19zhd8xIN6OXjWPtBZ6rEAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1cfb93c078cc7f18dd033d3ad37c1c148ec7b754a9dc66913f9254546f45acd","last_reissued_at":"2026-07-05T05:58:26.095794Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:58:26.095794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.02484","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:58:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GDmwXZaLSkxK9Rs+rOd64NY0vxBl96bd5z9O1CstgEofsr/Kal/LhWPAvRBhVVahGM8bHlRrfJ6iQ+f639VsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T08:40:45.181702Z"},"content_sha256":"18a2085f94eeb23e21175ed0587ebea2f1d0d823633e668697d6ee03f0fe6406","schema_version":"1.0","event_id":"sha256:18a2085f94eeb23e21175ed0587ebea2f1d0d823633e668697d6ee03f0fe6406"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UHH3SPAHRTD7DDOQGPJ22N6BYF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Arpan Biswas, Jan-Chi Yang, Maxim A. Ziatdinov, Nicole Creange, Rama K. Vasudevan, Sergei V. Kalinin, Stephen Jesse, Yongtao Liu, Yu-Chen Liu","submitted_at":"2023-04-05T14:54:34Z","abstract_excerpt":"Optimization of experimental materials synthesis and characterization through active learning methods has been growing over the last decade, with examples ranging from measurements of diffraction on combinatorial alloys at synchrotrons, to searches through chemical space with automated synthesis robots for perovskites. In virtually all cases, the target property of interest for optimization is defined apriori with limited human feedback during operation. In contrast, here we present the development of a new type of human in the loop experimental workflow, via a Bayesian optimized active recomm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02484","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2304.02484/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:58:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"30dar9KIbblaZI2VuoU8sETRsqfl+TiHokAFnGHBVnQB/07+L4rFyHcbmdpo2ZBQKD4N/y8sNd8DZf8FKxknAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T08:40:45.182496Z"},"content_sha256":"d48760fb6295f0462ce40626477b236375447bea5a9c8276481893235a5fa0f9","schema_version":"1.0","event_id":"sha256:d48760fb6295f0462ce40626477b236375447bea5a9c8276481893235a5fa0f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UHH3SPAHRTD7DDOQGPJ22N6BYF/bundle.json","state_url":"https://pith.science/pith/UHH3SPAHRTD7DDOQGPJ22N6BYF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UHH3SPAHRTD7DDOQGPJ22N6BYF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-16T08:40:45Z","links":{"resolver":"https://pith.science/pith/UHH3SPAHRTD7DDOQGPJ22N6BYF","bundle":"https://pith.science/pith/UHH3SPAHRTD7DDOQGPJ22N6BYF/bundle.json","state":"https://pith.science/pith/UHH3SPAHRTD7DDOQGPJ22N6BYF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UHH3SPAHRTD7DDOQGPJ22N6BYF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UHH3SPAHRTD7DDOQGPJ22N6BYF","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":"94a89668d1ac2f8b12613a0ace564ad52480a0f4e43a27ccc9671f621048f08e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T14:54:34Z","title_canon_sha256":"362e224bd7bf07255b7996af98e4f4c2b0a7621984e0f9620d79fbabb836cd4c"},"schema_version":"1.0","source":{"id":"2304.02484","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02484","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02484v1","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02484","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_12","alias_value":"UHH3SPAHRTD7","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_16","alias_value":"UHH3SPAHRTD7DDOQ","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_8","alias_value":"UHH3SPAH","created_at":"2026-07-05T05:58:26Z"}],"graph_snapshots":[{"event_id":"sha256:d48760fb6295f0462ce40626477b236375447bea5a9c8276481893235a5fa0f9","target":"graph","created_at":"2026-07-05T05:58:26Z","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/2304.02484/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optimization of experimental materials synthesis and characterization through active learning methods has been growing over the last decade, with examples ranging from measurements of diffraction on combinatorial alloys at synchrotrons, to searches through chemical space with automated synthesis robots for perovskites. In virtually all cases, the target property of interest for optimization is defined apriori with limited human feedback during operation. In contrast, here we present the development of a new type of human in the loop experimental workflow, via a Bayesian optimized active recomm","authors_text":"Arpan Biswas, Jan-Chi Yang, Maxim A. Ziatdinov, Nicole Creange, Rama K. Vasudevan, Sergei V. Kalinin, Stephen Jesse, Yongtao Liu, Yu-Chen Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T14:54:34Z","title":"A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02484","kind":"arxiv","version":1},"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":"sha256:18a2085f94eeb23e21175ed0587ebea2f1d0d823633e668697d6ee03f0fe6406","target":"record","created_at":"2026-07-05T05:58:26Z","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":"94a89668d1ac2f8b12613a0ace564ad52480a0f4e43a27ccc9671f621048f08e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-05T14:54:34Z","title_canon_sha256":"362e224bd7bf07255b7996af98e4f4c2b0a7621984e0f9620d79fbabb836cd4c"},"schema_version":"1.0","source":{"id":"2304.02484","kind":"arxiv","version":1}},"canonical_sha256":"a1cfb93c078cc7f18dd033d3ad37c1c148ec7b754a9dc66913f9254546f45acd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1cfb93c078cc7f18dd033d3ad37c1c148ec7b754a9dc66913f9254546f45acd","first_computed_at":"2026-07-05T05:58:26.095794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:58:26.095794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oQGwLXyT4eJxoWVpX9J2bACEow5Gso9l8VWmjyakMWwATWwHZncQ2pmYLpbKMCe19zhd8xIN6OXjWPtBZ6rEAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:58:26.096207Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.02484","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18a2085f94eeb23e21175ed0587ebea2f1d0d823633e668697d6ee03f0fe6406","sha256:d48760fb6295f0462ce40626477b236375447bea5a9c8276481893235a5fa0f9"],"state_sha256":"ab175690b876592bc405f030a4ce2c8f322269601f567d862a7c6196399a03f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Q74OPib+xAucm8aGKKubDGXNd1DwMBfFiuWXAarsX3PZ1kKBY1Ni73GCRj/l/Aq5LBlF8w67dJlOKv+emPcAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T08:40:45.188909Z","bundle_sha256":"9e5d46b669e60a25e0a81a056e8ca4b46c9ffa1e7881b5b0013efd01d88f6ecc"}}