{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5VGFBNS6LWYS72LNUE45M7DUJ3","short_pith_number":"pith:5VGFBNS6","canonical_record":{"source":{"id":"2412.13559","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T07:20:33Z","cross_cats_sorted":[],"title_canon_sha256":"4288804057b75231b9890ab6944860b1a6eefd8751c484ba4ce18dfaf35bddf8","abstract_canon_sha256":"1f7c9de19a51609f1799218c7b5c75e27c72f19c48f600e28d6d3457b7f483aa"},"schema_version":"1.0"},"canonical_sha256":"ed4c50b65e5db12fe96da139d67c744ec26590d71ce5f96fbea643481aed10b7","source":{"kind":"arxiv","id":"2412.13559","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13559","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13559v2","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13559","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"pith_short_12","alias_value":"5VGFBNS6LWYS","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"pith_short_16","alias_value":"5VGFBNS6LWYS72LN","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"pith_short_8","alias_value":"5VGFBNS6","created_at":"2026-07-05T11:52:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5VGFBNS6LWYS72LNUE45M7DUJ3","target":"record","payload":{"canonical_record":{"source":{"id":"2412.13559","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T07:20:33Z","cross_cats_sorted":[],"title_canon_sha256":"4288804057b75231b9890ab6944860b1a6eefd8751c484ba4ce18dfaf35bddf8","abstract_canon_sha256":"1f7c9de19a51609f1799218c7b5c75e27c72f19c48f600e28d6d3457b7f483aa"},"schema_version":"1.0"},"canonical_sha256":"ed4c50b65e5db12fe96da139d67c744ec26590d71ce5f96fbea643481aed10b7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:52:58.453447Z","signature_b64":"b2Q1wTcYBh5zN4tqXRWygz6T4lSgi5UB2d8DR4wSbyMS+IGH66ysCuMYLntd2sCfrJSDATh62p2wF5QDALLZCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed4c50b65e5db12fe96da139d67c744ec26590d71ce5f96fbea643481aed10b7","last_reissued_at":"2026-07-05T11:52:58.452940Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:52:58.452940Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.13559","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":"2026-07-05T11:52:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PDBzsBOvZ9SnmERBdbkwn99go07rfojrJtzG7LEFVYHBTKYRo1a7sOdXacj97VkySbNQHY+82uQfHNcQ/mvqCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:01:18.206676Z"},"content_sha256":"02697f29daaa07fca23444e8c8bd338022ff22d73e54b11410525aff433567fb","schema_version":"1.0","event_id":"sha256:02697f29daaa07fca23444e8c8bd338022ff22d73e54b11410525aff433567fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5VGFBNS6LWYS72LNUE45M7DUJ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Indirect Query Bayesian Optimization with Integrated Feedback","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Cheng Soon Ong, Dino Sejdinovic, Mengyan Zhang, Seth Flaxman, Shahine Bouabid","submitted_at":"2024-12-18T07:20:33Z","abstract_excerpt":"We develop the framework of Indirect Query Bayesian Optimization (IQBO), a new class of Bayesian optimization problems where the integrated feedback is given via a conditional expectation of the unknown function $f$ to be optimized. The underlying conditional distribution can be unknown and learned from data. The goal is to find the global optimum of $f$ by adaptively querying and observing in the space transformed by the conditional distribution. This is motivated by real-world applications where one cannot access direct feedback due to privacy, hardware or computational constraints. We propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13559","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/2412.13559/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":"2026-07-05T11:52:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RIKpoE65ro/K0qoNNMVUVv1PJh/u42Q7tEIj85UfqSAr8ceJdAwIOhO4mj1hyHsQIf+HZFFgiItWbBbskkwDCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:01:18.207169Z"},"content_sha256":"6e07c4e42c9fecc37be8618fb4bec7168e508a59cc063ee4bb9c494e63ad50c4","schema_version":"1.0","event_id":"sha256:6e07c4e42c9fecc37be8618fb4bec7168e508a59cc063ee4bb9c494e63ad50c4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5VGFBNS6LWYS72LNUE45M7DUJ3/bundle.json","state_url":"https://pith.science/pith/5VGFBNS6LWYS72LNUE45M7DUJ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5VGFBNS6LWYS72LNUE45M7DUJ3/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":"2026-08-06T07:01:18Z","links":{"resolver":"https://pith.science/pith/5VGFBNS6LWYS72LNUE45M7DUJ3","bundle":"https://pith.science/pith/5VGFBNS6LWYS72LNUE45M7DUJ3/bundle.json","state":"https://pith.science/pith/5VGFBNS6LWYS72LNUE45M7DUJ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5VGFBNS6LWYS72LNUE45M7DUJ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5VGFBNS6LWYS72LNUE45M7DUJ3","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":"1f7c9de19a51609f1799218c7b5c75e27c72f19c48f600e28d6d3457b7f483aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T07:20:33Z","title_canon_sha256":"4288804057b75231b9890ab6944860b1a6eefd8751c484ba4ce18dfaf35bddf8"},"schema_version":"1.0","source":{"id":"2412.13559","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13559","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13559v2","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13559","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"pith_short_12","alias_value":"5VGFBNS6LWYS","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"pith_short_16","alias_value":"5VGFBNS6LWYS72LN","created_at":"2026-07-05T11:52:58Z"},{"alias_kind":"pith_short_8","alias_value":"5VGFBNS6","created_at":"2026-07-05T11:52:58Z"}],"graph_snapshots":[{"event_id":"sha256:6e07c4e42c9fecc37be8618fb4bec7168e508a59cc063ee4bb9c494e63ad50c4","target":"graph","created_at":"2026-07-05T11:52:58Z","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/2412.13559/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We develop the framework of Indirect Query Bayesian Optimization (IQBO), a new class of Bayesian optimization problems where the integrated feedback is given via a conditional expectation of the unknown function $f$ to be optimized. The underlying conditional distribution can be unknown and learned from data. The goal is to find the global optimum of $f$ by adaptively querying and observing in the space transformed by the conditional distribution. This is motivated by real-world applications where one cannot access direct feedback due to privacy, hardware or computational constraints. We propo","authors_text":"Cheng Soon Ong, Dino Sejdinovic, Mengyan Zhang, Seth Flaxman, Shahine Bouabid","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T07:20:33Z","title":"Indirect Query Bayesian Optimization with Integrated Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13559","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":"sha256:02697f29daaa07fca23444e8c8bd338022ff22d73e54b11410525aff433567fb","target":"record","created_at":"2026-07-05T11:52:58Z","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":"1f7c9de19a51609f1799218c7b5c75e27c72f19c48f600e28d6d3457b7f483aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T07:20:33Z","title_canon_sha256":"4288804057b75231b9890ab6944860b1a6eefd8751c484ba4ce18dfaf35bddf8"},"schema_version":"1.0","source":{"id":"2412.13559","kind":"arxiv","version":2}},"canonical_sha256":"ed4c50b65e5db12fe96da139d67c744ec26590d71ce5f96fbea643481aed10b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed4c50b65e5db12fe96da139d67c744ec26590d71ce5f96fbea643481aed10b7","first_computed_at":"2026-07-05T11:52:58.452940Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:58.452940Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b2Q1wTcYBh5zN4tqXRWygz6T4lSgi5UB2d8DR4wSbyMS+IGH66ysCuMYLntd2sCfrJSDATh62p2wF5QDALLZCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:58.453447Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13559","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02697f29daaa07fca23444e8c8bd338022ff22d73e54b11410525aff433567fb","sha256:6e07c4e42c9fecc37be8618fb4bec7168e508a59cc063ee4bb9c494e63ad50c4"],"state_sha256":"9f58b16a5797e7be2b32fc4dcd27065886671199f03a92fb1a278b412225473e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jGngHiRpXDS5Zrq8iARLheofhVGVtqQoKm7O0kkzKDFfZZTdAT9nbH25WJ0WNmRL6aQ+xtcUbWtMHIlC9AdSBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T07:01:18.211446Z","bundle_sha256":"6c767261524dbe2056f2685280e0d6b6cf63fc0df64ddacd02bd6bd5fe2295ad"}}