{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KWYEWXL6TYVHSPDEF2S6JCMO3H","short_pith_number":"pith:KWYEWXL6","canonical_record":{"source":{"id":"2403.04764","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-07T18:58:26Z","cross_cats_sorted":["math.OC","stat.ML"],"title_canon_sha256":"3b43b0468169454aa8ae7b2053b807389255419f041859a7bf7e0fb41a8dadaa","abstract_canon_sha256":"5db26a4919fa6eabfadf9b9845e51bbf33d46005293067a42ef3be1377b620a3"},"schema_version":"1.0"},"canonical_sha256":"55b04b5d7e9e2a793c642ea5e4898ed9d452b60341c3b09331a3a183152882c3","source":{"kind":"arxiv","id":"2403.04764","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.04764","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"arxiv_version","alias_value":"2403.04764v4","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.04764","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"pith_short_12","alias_value":"KWYEWXL6TYVH","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"pith_short_16","alias_value":"KWYEWXL6TYVHSPDE","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"pith_short_8","alias_value":"KWYEWXL6","created_at":"2026-07-05T11:18:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KWYEWXL6TYVHSPDEF2S6JCMO3H","target":"record","payload":{"canonical_record":{"source":{"id":"2403.04764","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-07T18:58:26Z","cross_cats_sorted":["math.OC","stat.ML"],"title_canon_sha256":"3b43b0468169454aa8ae7b2053b807389255419f041859a7bf7e0fb41a8dadaa","abstract_canon_sha256":"5db26a4919fa6eabfadf9b9845e51bbf33d46005293067a42ef3be1377b620a3"},"schema_version":"1.0"},"canonical_sha256":"55b04b5d7e9e2a793c642ea5e4898ed9d452b60341c3b09331a3a183152882c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:11.514590Z","signature_b64":"CnBJu9PUni03HqRRoiXUTGW3UDS2qNiWsN3Mhl/iyp38Drqn+jeRft2sa/3lSVWwEwmTf3CheRYB/wta53/ZAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55b04b5d7e9e2a793c642ea5e4898ed9d452b60341c3b09331a3a183152882c3","last_reissued_at":"2026-07-05T11:18:11.514102Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:11.514102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.04764","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:18:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tse/fWmjyVpMK17H2YdqpBradHqDfIVUynIlZc3nlj2aFUpfMPJqKkf6wMSSoa8CjdMe+Mf8J+lnSAEivfWkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T06:18:49.201594Z"},"content_sha256":"63bb10670bf38d664401e73cfcfcf7dff942ce120d6795c6e690e6af7d6f284e","schema_version":"1.0","event_id":"sha256:63bb10670bf38d664401e73cfcfcf7dff942ce120d6795c6e690e6af7d6f284e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KWYEWXL6TYVHSPDEF2S6JCMO3H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TS-RSR: A provably efficient approach for batch Bayesian Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Na Li, Zhaolin Ren","submitted_at":"2024-03-07T18:58:26Z","abstract_excerpt":"This paper presents a new approach for batch Bayesian Optimization (BO) called Thompson Sampling-Regret to Sigma Ratio directed sampling (TS-RSR), where we sample a new batch of actions by minimizing a Thompson Sampling approximation of a regret to uncertainty ratio. Our sampling objective is able to coordinate the actions chosen in each batch in a way that minimizes redundancy between points whilst focusing on points with high predictive means or high uncertainty. Theoretically, we provide rigorous convergence guarantees on our algorithm's regret, and numerically, we demonstrate that our meth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.04764","kind":"arxiv","version":4},"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/2403.04764/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":"2026-07-05T11:18:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zwNhXwhvZwsjhzbNw3c/GDFZRCrOzvJ7UVyyLpkFF7EEbmMXU7obYOcDIHBmcJ5WIXy57njOVLH04RTszdGuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T06:18:49.202163Z"},"content_sha256":"e01d6eac9176a1f4c8b9c0a3b07f8c0d719664515d6b8a5f33f7bf63e13aa9b8","schema_version":"1.0","event_id":"sha256:e01d6eac9176a1f4c8b9c0a3b07f8c0d719664515d6b8a5f33f7bf63e13aa9b8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KWYEWXL6TYVHSPDEF2S6JCMO3H/bundle.json","state_url":"https://pith.science/pith/KWYEWXL6TYVHSPDEF2S6JCMO3H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KWYEWXL6TYVHSPDEF2S6JCMO3H/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":"2026-08-21T06:18:49Z","links":{"resolver":"https://pith.science/pith/KWYEWXL6TYVHSPDEF2S6JCMO3H","bundle":"https://pith.science/pith/KWYEWXL6TYVHSPDEF2S6JCMO3H/bundle.json","state":"https://pith.science/pith/KWYEWXL6TYVHSPDEF2S6JCMO3H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KWYEWXL6TYVHSPDEF2S6JCMO3H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KWYEWXL6TYVHSPDEF2S6JCMO3H","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":"5db26a4919fa6eabfadf9b9845e51bbf33d46005293067a42ef3be1377b620a3","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-07T18:58:26Z","title_canon_sha256":"3b43b0468169454aa8ae7b2053b807389255419f041859a7bf7e0fb41a8dadaa"},"schema_version":"1.0","source":{"id":"2403.04764","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.04764","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"arxiv_version","alias_value":"2403.04764v4","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.04764","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"pith_short_12","alias_value":"KWYEWXL6TYVH","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"pith_short_16","alias_value":"KWYEWXL6TYVHSPDE","created_at":"2026-07-05T11:18:11Z"},{"alias_kind":"pith_short_8","alias_value":"KWYEWXL6","created_at":"2026-07-05T11:18:11Z"}],"graph_snapshots":[{"event_id":"sha256:e01d6eac9176a1f4c8b9c0a3b07f8c0d719664515d6b8a5f33f7bf63e13aa9b8","target":"graph","created_at":"2026-07-05T11:18:11Z","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/2403.04764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a new approach for batch Bayesian Optimization (BO) called Thompson Sampling-Regret to Sigma Ratio directed sampling (TS-RSR), where we sample a new batch of actions by minimizing a Thompson Sampling approximation of a regret to uncertainty ratio. Our sampling objective is able to coordinate the actions chosen in each batch in a way that minimizes redundancy between points whilst focusing on points with high predictive means or high uncertainty. Theoretically, we provide rigorous convergence guarantees on our algorithm's regret, and numerically, we demonstrate that our meth","authors_text":"Na Li, Zhaolin Ren","cross_cats":["math.OC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-07T18:58:26Z","title":"TS-RSR: A provably efficient approach for batch Bayesian Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.04764","kind":"arxiv","version":4},"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":"sha256:63bb10670bf38d664401e73cfcfcf7dff942ce120d6795c6e690e6af7d6f284e","target":"record","created_at":"2026-07-05T11:18:11Z","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":"5db26a4919fa6eabfadf9b9845e51bbf33d46005293067a42ef3be1377b620a3","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-07T18:58:26Z","title_canon_sha256":"3b43b0468169454aa8ae7b2053b807389255419f041859a7bf7e0fb41a8dadaa"},"schema_version":"1.0","source":{"id":"2403.04764","kind":"arxiv","version":4}},"canonical_sha256":"55b04b5d7e9e2a793c642ea5e4898ed9d452b60341c3b09331a3a183152882c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55b04b5d7e9e2a793c642ea5e4898ed9d452b60341c3b09331a3a183152882c3","first_computed_at":"2026-07-05T11:18:11.514102Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:11.514102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CnBJu9PUni03HqRRoiXUTGW3UDS2qNiWsN3Mhl/iyp38Drqn+jeRft2sa/3lSVWwEwmTf3CheRYB/wta53/ZAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:11.514590Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.04764","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63bb10670bf38d664401e73cfcfcf7dff942ce120d6795c6e690e6af7d6f284e","sha256:e01d6eac9176a1f4c8b9c0a3b07f8c0d719664515d6b8a5f33f7bf63e13aa9b8"],"state_sha256":"3bc150edfbc76c4e03e12b7c37971a0813134e87fbead9f505f0dbe34c139c34"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nJCx7QXST0WQ5zHo46JyZP6DFUZGnbJm89NSdIHqWOeYrG5KmHG88JpSx7QnW9Uco7KHSdHaiOBiyHgX0RatDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T06:18:49.205875Z","bundle_sha256":"6270fc05c4f6652e2bb7442b3bd55bce2ccf0a9493ea4ea07a82701067afea74"}}