{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:GLGYBWD3MPTUETH6CMKUWY6ZXC","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":"473f0f35fc9863f4633d48be37b11c1f113e6423ca9e5dd1251ba297860b5e9a","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-04T18:58:37Z","title_canon_sha256":"efc9ada2ceea96d7fca190eaf4fc7eddec001f3255aab2f116c244041e7e7854"},"schema_version":"1.0","source":{"id":"2101.02558","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.02558","created_at":"2026-07-05T03:11:27Z"},{"alias_kind":"arxiv_version","alias_value":"2101.02558v2","created_at":"2026-07-05T03:11:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.02558","created_at":"2026-07-05T03:11:27Z"},{"alias_kind":"pith_short_12","alias_value":"GLGYBWD3MPTU","created_at":"2026-07-05T03:11:27Z"},{"alias_kind":"pith_short_16","alias_value":"GLGYBWD3MPTUETH6","created_at":"2026-07-05T03:11:27Z"},{"alias_kind":"pith_short_8","alias_value":"GLGYBWD3","created_at":"2026-07-05T03:11:27Z"}],"graph_snapshots":[{"event_id":"sha256:7001c3df22ba7a0875d69cd54f2f76e21f40eee82d188c961cec855a7c650658","target":"graph","created_at":"2026-07-05T03:11:27Z","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/2101.02558/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Techniques to reduce the energy burden of an industrial ecosystem often require solving a multiobjective optimization problem. However, collecting experimental data can often be either expensive or time-consuming. In such cases, statistical methods can be helpful. This article proposes Pareto Front (PF) and Pareto Set (PS) estimation methods using Bayesian Additive Regression Trees (BART), which is a non-parametric model whose assumptions are typically less restrictive than popular alternatives, such as Gaussian Processes (GPs). These less restrictive assumptions allow BART to handle scenarios","authors_text":"Akira Horiguchi, Matthew T. Pratola, Thomas J. Santner, Ying Sun","cross_cats":["stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-04T18:58:37Z","title":"Using BART to Perform Pareto Optimization and Quantify its Uncertainties"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.02558","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:a3a942ae4cbfd2d132d0c124450a57bf26e7785115d1e7394c6c3d9d28be5e46","target":"record","created_at":"2026-07-05T03:11:27Z","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":"473f0f35fc9863f4633d48be37b11c1f113e6423ca9e5dd1251ba297860b5e9a","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-04T18:58:37Z","title_canon_sha256":"efc9ada2ceea96d7fca190eaf4fc7eddec001f3255aab2f116c244041e7e7854"},"schema_version":"1.0","source":{"id":"2101.02558","kind":"arxiv","version":2}},"canonical_sha256":"32cd80d87b63e7424cfe13154b63d9b8b349f7fd2462c82d03c4d19a4e4d22d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32cd80d87b63e7424cfe13154b63d9b8b349f7fd2462c82d03c4d19a4e4d22d3","first_computed_at":"2026-07-05T03:11:27.594042Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:11:27.594042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"svuwEyrfM1AXdkrqDErAafthKHNLRQu01xPjdqQday8I0/NaddWbjTY01zQdytTra4+k1o3HXKnUymBMNFiBDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:11:27.594466Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.02558","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3a942ae4cbfd2d132d0c124450a57bf26e7785115d1e7394c6c3d9d28be5e46","sha256:7001c3df22ba7a0875d69cd54f2f76e21f40eee82d188c961cec855a7c650658"],"state_sha256":"2e36e64ead7a203856bb1e64e5a9ee0a17327bf7fefa18e045006ca0c1996759"}