{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:F4M7XTADUFIKOKJEO6ZUHH7UK7","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":"1407f07f2d0de3b21e7704167cee718614f2f046aec6aba542e40ee349b3255b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2022-02-10T04:42:48Z","title_canon_sha256":"69ed7dbc6363577d4aa9d58c1d0bc4482fbf6cc8eabcd360371ab4a782fff763"},"schema_version":"1.0","source":{"id":"2202.04832","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.04832","created_at":"2026-07-05T03:57:43Z"},{"alias_kind":"arxiv_version","alias_value":"2202.04832v2","created_at":"2026-07-05T03:57:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.04832","created_at":"2026-07-05T03:57:43Z"},{"alias_kind":"pith_short_12","alias_value":"F4M7XTADUFIK","created_at":"2026-07-05T03:57:43Z"},{"alias_kind":"pith_short_16","alias_value":"F4M7XTADUFIKOKJE","created_at":"2026-07-05T03:57:43Z"},{"alias_kind":"pith_short_8","alias_value":"F4M7XTAD","created_at":"2026-07-05T03:57:43Z"}],"graph_snapshots":[{"event_id":"sha256:91e0b8e849020c3065a04e468d9f43b7d150b27a6e2e7f8e9afd061141c71abd","target":"graph","created_at":"2026-07-05T03:57:43Z","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/2202.04832/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many real-world optimisation problems are defined over both categorical and continuous variables, yet efficient optimisation methods such asBayesian Optimisation (BO) are not designed tohandle such mixed-variable search spaces. Recent approaches to this problem cast the selection of the categorical variables as a bandit problem, operating independently alongside a BO component which optimises the continuous variables. In this paper, we adopt a holistic view and aim to consolidate optimisation of the categorical and continuous sub-spaces under a single acquisition metric. We derive candidates f","authors_text":"Amir Dezfouli, Benjamin Ward Muir, David Alexander, Iadine Chades, Yan Zuo","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2022-02-10T04:42:48Z","title":"Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.04832","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":"sha256:7c89011233ab025f66fbf5e3bfd85595333ba4d492fc0ecdb287d8e5ded64108","target":"record","created_at":"2026-07-05T03:57:43Z","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":"1407f07f2d0de3b21e7704167cee718614f2f046aec6aba542e40ee349b3255b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2022-02-10T04:42:48Z","title_canon_sha256":"69ed7dbc6363577d4aa9d58c1d0bc4482fbf6cc8eabcd360371ab4a782fff763"},"schema_version":"1.0","source":{"id":"2202.04832","kind":"arxiv","version":2}},"canonical_sha256":"2f19fbcc03a150a7292477b3439ff457ed55c71dadfbd3bc26165fdf0f1e33f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f19fbcc03a150a7292477b3439ff457ed55c71dadfbd3bc26165fdf0f1e33f2","first_computed_at":"2026-07-05T03:57:43.832164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:57:43.832164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c+n/YI20ez4W6he5FAEQvCWysATwqCuu30OvwZkMqC30P6s7xefRSzZ7TnB0gwU0QikpJaqoQjDQyiH2AxP1DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:57:43.832654Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.04832","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c89011233ab025f66fbf5e3bfd85595333ba4d492fc0ecdb287d8e5ded64108","sha256:91e0b8e849020c3065a04e468d9f43b7d150b27a6e2e7f8e9afd061141c71abd"],"state_sha256":"af41663be57464d03054cbdb012f0db7fa893da060fe8ff0985a5d67fc1d6220"}