{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UWSIMAY2ICE3RDIZZWWEXMPGXB","short_pith_number":"pith:UWSIMAY2","canonical_record":{"source":{"id":"2502.18966","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-26T09:25:48Z","cross_cats_sorted":[],"title_canon_sha256":"19f703dd8ac1fa7c16e5d03e7c84857339c5155c12d0d0ace8267ebf3aad6b6a","abstract_canon_sha256":"98a41ef7a2c99b9fc66c7df2e429e6313e00a42670dfa2fdff9c0e37b999df8f"},"schema_version":"1.0"},"canonical_sha256":"a5a486031a4089b88d19cdac4bb1e6b84d88ba24378a7d9bd128f6417803275a","source":{"kind":"arxiv","id":"2502.18966","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.18966","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.18966v2","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.18966","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"UWSIMAY2ICE3","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"pith_short_16","alias_value":"UWSIMAY2ICE3RDIZ","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"pith_short_8","alias_value":"UWSIMAY2","created_at":"2026-06-26T01:15:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UWSIMAY2ICE3RDIZZWWEXMPGXB","target":"record","payload":{"canonical_record":{"source":{"id":"2502.18966","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-26T09:25:48Z","cross_cats_sorted":[],"title_canon_sha256":"19f703dd8ac1fa7c16e5d03e7c84857339c5155c12d0d0ace8267ebf3aad6b6a","abstract_canon_sha256":"98a41ef7a2c99b9fc66c7df2e429e6313e00a42670dfa2fdff9c0e37b999df8f"},"schema_version":"1.0"},"canonical_sha256":"a5a486031a4089b88d19cdac4bb1e6b84d88ba24378a7d9bd128f6417803275a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-26T01:15:13.133950Z","signature_b64":"7iYWcrArMuIdlNO7QVNLv6ZY3jnWC6Sc3+xEnpJRZm8YomdAENL76lR8txXncFyb/1xmiz9AaRDgpArJgrtPCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5a486031a4089b88d19cdac4bb1e6b84d88ba24378a7d9bd128f6417803275a","last_reissued_at":"2026-06-26T01:15:13.133487Z","signature_status":"signed_v1","first_computed_at":"2026-06-26T01:15:13.133487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.18966","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-26T01:15:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OZL7lCp7WWSci6zMq7fY5ltCtIXbrD+qahHU0g1bsGABCQdvubRWn3vaIvwQSk7HROvSHsUI+rmFXFBRGou7Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T11:47:42.026785Z"},"content_sha256":"fa7924b1a2c8e69e9df3f7a214687278b5c807a97afd4ecef2445be7dd0cc45f","schema_version":"1.0","event_id":"sha256:fa7924b1a2c8e69e9df3f7a214687278b5c807a97afd4ecef2445be7dd0cc45f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UWSIMAY2ICE3RDIZZWWEXMPGXB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Optimization for General Reaction Conditions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Agustinus Kristiadi, Al\\'an Aspuru-Guzik, Cher Tian Ser, Ella Miray Rajaonson, Felix Strieth-Kalthoff, Kjell Jorner, Mohammad Haddadnia, Shi Xuan Leong, Stefan P. Schmid","submitted_at":"2025-02-26T09:25:48Z","abstract_excerpt":"General chemical reaction conditions that achieve consistently high performance across multiple substrates are important for practical applications such as library synthesis and high-throughput experimentation. However, identifying such conditions efficiently has been a longstanding challenge, as it requires decision making under uncertainty with respect to both conditions and substrates, while minimizing the number of required experiments. Here, we introduce CurryBO, a high-level framework for generality-oriented optimization. By formalizing the problem as Bayesian optimization over curried f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.18966","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.18966/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":"2026-06-26T01:15:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W4zpUqIukG7F+TN2Qv8Bh+k8h+DERjwQ7sq5yDdE8hukDly52KWELC0khaGJfSaHiHUXNP/Rhgk24DUIceSkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T11:47:42.027150Z"},"content_sha256":"13e36f182e27eaae6690f6b623be0f4ba6b2b3a30b98cb8aed60873f69e37f56","schema_version":"1.0","event_id":"sha256:13e36f182e27eaae6690f6b623be0f4ba6b2b3a30b98cb8aed60873f69e37f56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UWSIMAY2ICE3RDIZZWWEXMPGXB/bundle.json","state_url":"https://pith.science/pith/UWSIMAY2ICE3RDIZZWWEXMPGXB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UWSIMAY2ICE3RDIZZWWEXMPGXB/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":"2026-06-28T11:47:42Z","links":{"resolver":"https://pith.science/pith/UWSIMAY2ICE3RDIZZWWEXMPGXB","bundle":"https://pith.science/pith/UWSIMAY2ICE3RDIZZWWEXMPGXB/bundle.json","state":"https://pith.science/pith/UWSIMAY2ICE3RDIZZWWEXMPGXB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UWSIMAY2ICE3RDIZZWWEXMPGXB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UWSIMAY2ICE3RDIZZWWEXMPGXB","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":"98a41ef7a2c99b9fc66c7df2e429e6313e00a42670dfa2fdff9c0e37b999df8f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-26T09:25:48Z","title_canon_sha256":"19f703dd8ac1fa7c16e5d03e7c84857339c5155c12d0d0ace8267ebf3aad6b6a"},"schema_version":"1.0","source":{"id":"2502.18966","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.18966","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.18966v2","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.18966","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"UWSIMAY2ICE3","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"pith_short_16","alias_value":"UWSIMAY2ICE3RDIZ","created_at":"2026-06-26T01:15:13Z"},{"alias_kind":"pith_short_8","alias_value":"UWSIMAY2","created_at":"2026-06-26T01:15:13Z"}],"graph_snapshots":[{"event_id":"sha256:13e36f182e27eaae6690f6b623be0f4ba6b2b3a30b98cb8aed60873f69e37f56","target":"graph","created_at":"2026-06-26T01:15:13Z","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/2502.18966/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"General chemical reaction conditions that achieve consistently high performance across multiple substrates are important for practical applications such as library synthesis and high-throughput experimentation. However, identifying such conditions efficiently has been a longstanding challenge, as it requires decision making under uncertainty with respect to both conditions and substrates, while minimizing the number of required experiments. Here, we introduce CurryBO, a high-level framework for generality-oriented optimization. By formalizing the problem as Bayesian optimization over curried f","authors_text":"Agustinus Kristiadi, Al\\'an Aspuru-Guzik, Cher Tian Ser, Ella Miray Rajaonson, Felix Strieth-Kalthoff, Kjell Jorner, Mohammad Haddadnia, Shi Xuan Leong, Stefan P. Schmid","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-26T09:25:48Z","title":"Bayesian Optimization for General Reaction Conditions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.18966","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:fa7924b1a2c8e69e9df3f7a214687278b5c807a97afd4ecef2445be7dd0cc45f","target":"record","created_at":"2026-06-26T01:15:13Z","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":"98a41ef7a2c99b9fc66c7df2e429e6313e00a42670dfa2fdff9c0e37b999df8f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-26T09:25:48Z","title_canon_sha256":"19f703dd8ac1fa7c16e5d03e7c84857339c5155c12d0d0ace8267ebf3aad6b6a"},"schema_version":"1.0","source":{"id":"2502.18966","kind":"arxiv","version":2}},"canonical_sha256":"a5a486031a4089b88d19cdac4bb1e6b84d88ba24378a7d9bd128f6417803275a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5a486031a4089b88d19cdac4bb1e6b84d88ba24378a7d9bd128f6417803275a","first_computed_at":"2026-06-26T01:15:13.133487Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:15:13.133487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7iYWcrArMuIdlNO7QVNLv6ZY3jnWC6Sc3+xEnpJRZm8YomdAENL76lR8txXncFyb/1xmiz9AaRDgpArJgrtPCg==","signature_status":"signed_v1","signed_at":"2026-06-26T01:15:13.133950Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.18966","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa7924b1a2c8e69e9df3f7a214687278b5c807a97afd4ecef2445be7dd0cc45f","sha256:13e36f182e27eaae6690f6b623be0f4ba6b2b3a30b98cb8aed60873f69e37f56"],"state_sha256":"82f62a6da35ec507cdb232ccf5c3d8e4c850ea2487022c75b07e345f9109bcdd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MLwNy8EL/HSlBENowYteILPq+db9+RAjxb4/+cRkvl8aamWjUo66El35tj9jygJx07w5TnG3+DnYjDKJHubNAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T11:47:42.029154Z","bundle_sha256":"94d1f4826237e5377ab89646d047a0b6a302490be15b154e433e80df057242de"}}