{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:G52PDOHPMQJRUB74VWF6PXAHD4","short_pith_number":"pith:G52PDOHP","schema_version":"1.0","canonical_sha256":"3774f1b8ef64131a07fcad8be7dc071f36c91e3990400886b597640b6d2297aa","source":{"kind":"arxiv","id":"1808.06918","version":1},"attestation_state":"computed","paper":{"title":"On a New Improvement-Based Acquisition Function for Bayesian Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Dirk Husmeier, Umberto No\\`e","submitted_at":"2018-08-21T14:25:09Z","abstract_excerpt":"Bayesian optimization (BO) is a popular algorithm for solving challenging optimization tasks. It is designed for problems where the objective function is expensive to evaluate, perhaps not available in exact form, without gradient information and possibly returning noisy values. Different versions of the algorithm vary in the choice of the acquisition function, which recommends the point to query the objective at next. Initially, researchers focused on improvement-based acquisitions, while recently the attention has shifted to more computationally expensive information-theoretical measures. In"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1808.06918","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-08-21T14:25:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f659f8229c804c4829d84b3fd1c5f213f3a728ceca43a873455e44aaea38145a","abstract_canon_sha256":"3f3b26b52d4fa0a1de13133010f57bcad1a46703b08edcbda10ea2be60859e3a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:38.670512Z","signature_b64":"fs+HgCjamwagWLUaL4oqMjm6bnNTLgxpYjhniLqSuy5jhKGwAD/KyVXYS8CQcO40KjlMBSMLMCsDd3fio0ovBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3774f1b8ef64131a07fcad8be7dc071f36c91e3990400886b597640b6d2297aa","last_reissued_at":"2026-05-18T00:07:38.669806Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:38.669806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On a New Improvement-Based Acquisition Function for Bayesian Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Dirk Husmeier, Umberto No\\`e","submitted_at":"2018-08-21T14:25:09Z","abstract_excerpt":"Bayesian optimization (BO) is a popular algorithm for solving challenging optimization tasks. It is designed for problems where the objective function is expensive to evaluate, perhaps not available in exact form, without gradient information and possibly returning noisy values. Different versions of the algorithm vary in the choice of the acquisition function, which recommends the point to query the objective at next. Initially, researchers focused on improvement-based acquisitions, while recently the attention has shifted to more computationally expensive information-theoretical measures. In"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.06918","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1808.06918","created_at":"2026-05-18T00:07:38.669913+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.06918v1","created_at":"2026-05-18T00:07:38.669913+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.06918","created_at":"2026-05-18T00:07:38.669913+00:00"},{"alias_kind":"pith_short_12","alias_value":"G52PDOHPMQJR","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_16","alias_value":"G52PDOHPMQJRUB74","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_8","alias_value":"G52PDOHP","created_at":"2026-05-18T12:32:25.280505+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4","json":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4.json","graph_json":"https://pith.science/api/pith-number/G52PDOHPMQJRUB74VWF6PXAHD4/graph.json","events_json":"https://pith.science/api/pith-number/G52PDOHPMQJRUB74VWF6PXAHD4/events.json","paper":"https://pith.science/paper/G52PDOHP"},"agent_actions":{"view_html":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4","download_json":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4.json","view_paper":"https://pith.science/paper/G52PDOHP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.06918&json=true","fetch_graph":"https://pith.science/api/pith-number/G52PDOHPMQJRUB74VWF6PXAHD4/graph.json","fetch_events":"https://pith.science/api/pith-number/G52PDOHPMQJRUB74VWF6PXAHD4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4/action/storage_attestation","attest_author":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4/action/author_attestation","sign_citation":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4/action/citation_signature","submit_replication":"https://pith.science/pith/G52PDOHPMQJRUB74VWF6PXAHD4/action/replication_record"}},"created_at":"2026-05-18T00:07:38.669913+00:00","updated_at":"2026-05-18T00:07:38.669913+00:00"}