{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:QUFV7H7ZRQBBL7IJXOQYHYSBAH","short_pith_number":"pith:QUFV7H7Z","canonical_record":{"source":{"id":"2112.02833","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-12-06T07:40:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d6be078370ead11d75fdd524bae0107b800dc097cc7dc9b025be29e476e3ab5b","abstract_canon_sha256":"1567cf5d96779617733adbf94173f7c73a214cf584dccfc85a292a416f2037e3"},"schema_version":"1.0"},"canonical_sha256":"850b5f9ff98c0215fd09bba183e24101c61e93cb16b92dc289efd525c5dc39ad","source":{"kind":"arxiv","id":"2112.02833","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.02833","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2112.02833v1","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.02833","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"QUFV7H7ZRQBB","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"QUFV7H7ZRQBBL7IJ","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"QUFV7H7Z","created_at":"2026-07-05T03:37:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:QUFV7H7ZRQBBL7IJXOQYHYSBAH","target":"record","payload":{"canonical_record":{"source":{"id":"2112.02833","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-12-06T07:40:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d6be078370ead11d75fdd524bae0107b800dc097cc7dc9b025be29e476e3ab5b","abstract_canon_sha256":"1567cf5d96779617733adbf94173f7c73a214cf584dccfc85a292a416f2037e3"},"schema_version":"1.0"},"canonical_sha256":"850b5f9ff98c0215fd09bba183e24101c61e93cb16b92dc289efd525c5dc39ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:37:58.243133Z","signature_b64":"a/bBNHJ4HDwOfnFjXL/VaOY0dbYm1aLY6qFmLCr9htPBD7n03j6LKGLV6C5bmmltReawTrvn88UWvPl5GQxwBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"850b5f9ff98c0215fd09bba183e24101c61e93cb16b92dc289efd525c5dc39ad","last_reissued_at":"2026-07-05T03:37:58.242586Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:37:58.242586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.02833","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":"2026-07-05T03:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fSR2qGTTgmyuaqkDB3l1aN1IeJi6w3zs8Z6kTPOxX4a8hBd1gV2a1U4F1oITeEGFlZwOQX8PTsGtRnEhnl8SBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:02:05.682907Z"},"content_sha256":"f6f3e821f480a505abd561efcae3c2d38a446b828725bdfcdce569196fc97a80","schema_version":"1.0","event_id":"sha256:f6f3e821f480a505abd561efcae3c2d38a446b828725bdfcdce569196fc97a80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:QUFV7H7ZRQBBL7IJXOQYHYSBAH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Two-step Lookahead Bayesian Optimization with Inequality Constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"stat.ML","authors_text":"Peter I. Frazier, Xiangyu Zhang, Yunxiang Zhang","submitted_at":"2021-12-06T07:40:54Z","abstract_excerpt":"Recent advances in computationally efficient non-myopic Bayesian optimization (BO) improve query efficiency over traditional myopic methods like expected improvement while only modestly increasing computational cost. These advances have been largely limited, however, to unconstrained optimization. For constrained optimization, the few existing non-myopic BO methods require heavy computation. For instance, one existing non-myopic constrained BO method [Lam and Willcox, 2017] relies on computationally expensive unreliable brute-force derivative-free optimization of a Monte Carlo rollout acquisit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.02833","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/2112.02833/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":"2026-07-05T03:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DD9fw0Ib13QuVqLVGfTcQ7S0gPWdQtys0aigzCOqXXi+X6KL4VEGxt3BCmWweVQChl0uM4yCv/eKUVijKNk1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:02:05.683556Z"},"content_sha256":"779bd98a433d4d4917c6a26e337be685c542b43449bd87b4cd49a7cc5ee0ba69","schema_version":"1.0","event_id":"sha256:779bd98a433d4d4917c6a26e337be685c542b43449bd87b4cd49a7cc5ee0ba69"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QUFV7H7ZRQBBL7IJXOQYHYSBAH/bundle.json","state_url":"https://pith.science/pith/QUFV7H7ZRQBBL7IJXOQYHYSBAH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QUFV7H7ZRQBBL7IJXOQYHYSBAH/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":"2026-08-18T21:02:05Z","links":{"resolver":"https://pith.science/pith/QUFV7H7ZRQBBL7IJXOQYHYSBAH","bundle":"https://pith.science/pith/QUFV7H7ZRQBBL7IJXOQYHYSBAH/bundle.json","state":"https://pith.science/pith/QUFV7H7ZRQBBL7IJXOQYHYSBAH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QUFV7H7ZRQBBL7IJXOQYHYSBAH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:QUFV7H7ZRQBBL7IJXOQYHYSBAH","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":"1567cf5d96779617733adbf94173f7c73a214cf584dccfc85a292a416f2037e3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-12-06T07:40:54Z","title_canon_sha256":"d6be078370ead11d75fdd524bae0107b800dc097cc7dc9b025be29e476e3ab5b"},"schema_version":"1.0","source":{"id":"2112.02833","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.02833","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2112.02833v1","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.02833","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"QUFV7H7ZRQBB","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"QUFV7H7ZRQBBL7IJ","created_at":"2026-07-05T03:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"QUFV7H7Z","created_at":"2026-07-05T03:37:58Z"}],"graph_snapshots":[{"event_id":"sha256:779bd98a433d4d4917c6a26e337be685c542b43449bd87b4cd49a7cc5ee0ba69","target":"graph","created_at":"2026-07-05T03:37:58Z","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/2112.02833/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in computationally efficient non-myopic Bayesian optimization (BO) improve query efficiency over traditional myopic methods like expected improvement while only modestly increasing computational cost. These advances have been largely limited, however, to unconstrained optimization. For constrained optimization, the few existing non-myopic BO methods require heavy computation. For instance, one existing non-myopic constrained BO method [Lam and Willcox, 2017] relies on computationally expensive unreliable brute-force derivative-free optimization of a Monte Carlo rollout acquisit","authors_text":"Peter I. Frazier, Xiangyu Zhang, Yunxiang Zhang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-12-06T07:40:54Z","title":"Two-step Lookahead Bayesian Optimization with Inequality Constraints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.02833","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:f6f3e821f480a505abd561efcae3c2d38a446b828725bdfcdce569196fc97a80","target":"record","created_at":"2026-07-05T03:37:58Z","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":"1567cf5d96779617733adbf94173f7c73a214cf584dccfc85a292a416f2037e3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-12-06T07:40:54Z","title_canon_sha256":"d6be078370ead11d75fdd524bae0107b800dc097cc7dc9b025be29e476e3ab5b"},"schema_version":"1.0","source":{"id":"2112.02833","kind":"arxiv","version":1}},"canonical_sha256":"850b5f9ff98c0215fd09bba183e24101c61e93cb16b92dc289efd525c5dc39ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"850b5f9ff98c0215fd09bba183e24101c61e93cb16b92dc289efd525c5dc39ad","first_computed_at":"2026-07-05T03:37:58.242586Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:37:58.242586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a/bBNHJ4HDwOfnFjXL/VaOY0dbYm1aLY6qFmLCr9htPBD7n03j6LKGLV6C5bmmltReawTrvn88UWvPl5GQxwBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:37:58.243133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.02833","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6f3e821f480a505abd561efcae3c2d38a446b828725bdfcdce569196fc97a80","sha256:779bd98a433d4d4917c6a26e337be685c542b43449bd87b4cd49a7cc5ee0ba69"],"state_sha256":"7e6b7e1bb937d023877080a868c050a82891d444f6c7e371999b58502a27a4c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VI6Xcysaz1p80KHLF5fVANChpK/HnBzdteWvTY2jzDXhXuH5TOm98zEIBQpRMSK95CDBQtixoHRj/tWbcGpMBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T21:02:05.689653Z","bundle_sha256":"6af95f3e3508c4748a4c80861ce7a386b7e6a5eba6256083525b1204622c57c1"}}