{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ZKVDIK3BQERSTBTR5Y5K7KCD44","short_pith_number":"pith:ZKVDIK3B","canonical_record":{"source":{"id":"1809.05450","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-09-14T14:55:13Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"a45b37974054a31c49faddf31fc184354916ae83cf952dcee45724ef638e58eb","abstract_canon_sha256":"f2f23f13df9c3c0b6c07eedf222be582ebe2daaf52f9d40cafebfa8368ab0cae"},"schema_version":"1.0"},"canonical_sha256":"caaa342b618123298671ee3aafa843e72c6e285961f1dd49310359dc1c58f84e","source":{"kind":"arxiv","id":"1809.05450","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.05450","created_at":"2026-05-18T00:05:41Z"},{"alias_kind":"arxiv_version","alias_value":"1809.05450v1","created_at":"2026-05-18T00:05:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05450","created_at":"2026-05-18T00:05:41Z"},{"alias_kind":"pith_short_12","alias_value":"ZKVDIK3BQERS","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZKVDIK3BQERSTBTR","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZKVDIK3B","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ZKVDIK3BQERSTBTR5Y5K7KCD44","target":"record","payload":{"canonical_record":{"source":{"id":"1809.05450","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-09-14T14:55:13Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"a45b37974054a31c49faddf31fc184354916ae83cf952dcee45724ef638e58eb","abstract_canon_sha256":"f2f23f13df9c3c0b6c07eedf222be582ebe2daaf52f9d40cafebfa8368ab0cae"},"schema_version":"1.0"},"canonical_sha256":"caaa342b618123298671ee3aafa843e72c6e285961f1dd49310359dc1c58f84e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:41.375101Z","signature_b64":"Ee80u1VIk8DnM/xgeugmfyt0Jlqu64tIZqFAvrwGYjtcq7xY0hTTc7x5MsJGxjruJUFOIKYowm7fWSGVLBHmBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"caaa342b618123298671ee3aafa843e72c6e285961f1dd49310359dc1c58f84e","last_reissued_at":"2026-05-18T00:05:41.374351Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:41.374351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.05450","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":"2026-05-18T00:05:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UFMQ+Wi58K+FC0tjvLrChdTrAsEZCbxlEMFHUktfmcEHq7M3e4qQsmV/Iuymzcjx2NJ+qPqwp0k3iiNwUVE5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:37:35.214208Z"},"content_sha256":"34e22913c637e442ec4fd977556fd3cb1276aad76a80d575ee4720a936ac1a8e","schema_version":"1.0","event_id":"sha256:34e22913c637e442ec4fd977556fd3cb1276aad76a80d575ee4720a936ac1a8e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ZKVDIK3BQERSTBTR5Y5K7KCD44","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"math.OC","authors_text":"Emmanuel Vazquez (L2S, GdR MASCOT-NUM), Julien Bect (L2S, Paul Feliot","submitted_at":"2018-09-14T14:55:13Z","abstract_excerpt":"In this article, we present a framework for taking into account user preferences in multi-objective Bayesian optimization in the case where the objectives are expensive-to-evaluate black-box functions. A novel expected improvement criterion to be used within Bayesian optimization algorithms is introduced. This criterion, which we call the expected weighted hypervolume improvement (EWHI) criterion, is a generalization of the popular expected hypervolume improvement to the case where the hypervolume of the dominated region is defined using an absolutely continuous measure instead of the Lebesgue"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05450","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":""},"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":"2026-05-18T00:05:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KQbTqZtTYq6T1mysWd6Q80trRVQ2oZXpc/2cGx1kutrH+gJJUOKMFxplTnhbNXhETMzb6WVTochtKzCDVJXqDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:37:35.214717Z"},"content_sha256":"64cce4767ca24e12b8aca8542db7058cf8c0ad58049186f7004158215eb2a02d","schema_version":"1.0","event_id":"sha256:64cce4767ca24e12b8aca8542db7058cf8c0ad58049186f7004158215eb2a02d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZKVDIK3BQERSTBTR5Y5K7KCD44/bundle.json","state_url":"https://pith.science/pith/ZKVDIK3BQERSTBTR5Y5K7KCD44/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZKVDIK3BQERSTBTR5Y5K7KCD44/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":"2026-06-03T08:37:35Z","links":{"resolver":"https://pith.science/pith/ZKVDIK3BQERSTBTR5Y5K7KCD44","bundle":"https://pith.science/pith/ZKVDIK3BQERSTBTR5Y5K7KCD44/bundle.json","state":"https://pith.science/pith/ZKVDIK3BQERSTBTR5Y5K7KCD44/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZKVDIK3BQERSTBTR5Y5K7KCD44/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ZKVDIK3BQERSTBTR5Y5K7KCD44","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":"f2f23f13df9c3c0b6c07eedf222be582ebe2daaf52f9d40cafebfa8368ab0cae","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-09-14T14:55:13Z","title_canon_sha256":"a45b37974054a31c49faddf31fc184354916ae83cf952dcee45724ef638e58eb"},"schema_version":"1.0","source":{"id":"1809.05450","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.05450","created_at":"2026-05-18T00:05:41Z"},{"alias_kind":"arxiv_version","alias_value":"1809.05450v1","created_at":"2026-05-18T00:05:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05450","created_at":"2026-05-18T00:05:41Z"},{"alias_kind":"pith_short_12","alias_value":"ZKVDIK3BQERS","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZKVDIK3BQERSTBTR","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZKVDIK3B","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:64cce4767ca24e12b8aca8542db7058cf8c0ad58049186f7004158215eb2a02d","target":"graph","created_at":"2026-05-18T00:05:41Z","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"},"paper":{"abstract_excerpt":"In this article, we present a framework for taking into account user preferences in multi-objective Bayesian optimization in the case where the objectives are expensive-to-evaluate black-box functions. A novel expected improvement criterion to be used within Bayesian optimization algorithms is introduced. This criterion, which we call the expected weighted hypervolume improvement (EWHI) criterion, is a generalization of the popular expected hypervolume improvement to the case where the hypervolume of the dominated region is defined using an absolutely continuous measure instead of the Lebesgue","authors_text":"Emmanuel Vazquez (L2S, GdR MASCOT-NUM), Julien Bect (L2S, Paul Feliot","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-09-14T14:55:13Z","title":"User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05450","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":"sha256:34e22913c637e442ec4fd977556fd3cb1276aad76a80d575ee4720a936ac1a8e","target":"record","created_at":"2026-05-18T00:05:41Z","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":"f2f23f13df9c3c0b6c07eedf222be582ebe2daaf52f9d40cafebfa8368ab0cae","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2018-09-14T14:55:13Z","title_canon_sha256":"a45b37974054a31c49faddf31fc184354916ae83cf952dcee45724ef638e58eb"},"schema_version":"1.0","source":{"id":"1809.05450","kind":"arxiv","version":1}},"canonical_sha256":"caaa342b618123298671ee3aafa843e72c6e285961f1dd49310359dc1c58f84e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"caaa342b618123298671ee3aafa843e72c6e285961f1dd49310359dc1c58f84e","first_computed_at":"2026-05-18T00:05:41.374351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:41.374351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ee80u1VIk8DnM/xgeugmfyt0Jlqu64tIZqFAvrwGYjtcq7xY0hTTc7x5MsJGxjruJUFOIKYowm7fWSGVLBHmBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:41.375101Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.05450","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34e22913c637e442ec4fd977556fd3cb1276aad76a80d575ee4720a936ac1a8e","sha256:64cce4767ca24e12b8aca8542db7058cf8c0ad58049186f7004158215eb2a02d"],"state_sha256":"0d43a47ad5beea976a8560353a681decb5173c3ba96d25f536ebab7df0814a81"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B8HZQXt62rHHSzygU71/6ULP51kRkYD4KNkyd9lFusuxs12ttbtLEnZaznmA0UKx2qufEn8WPFUKWRzxfFENAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T08:37:35.217713Z","bundle_sha256":"3bcb74af8b19966d3a92f9a365d8f33bb978a18bccbf6fd4e23114154012ba18"}}