{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YAJH26TWW3SVQDI4BEODJKZZGQ","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":"c70bc7f86392cd1b790fec9d489ca622e928b34a4255bc97c95435338bf8ec35","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-09T15:53:02Z","title_canon_sha256":"f259f051554e95073c98bdb79ca2c6c9f4505319a7acc6abde11a79865ab5830"},"schema_version":"1.0","source":{"id":"2412.06604","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06604","created_at":"2026-07-05T09:46:34Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06604v1","created_at":"2026-07-05T09:46:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06604","created_at":"2026-07-05T09:46:34Z"},{"alias_kind":"pith_short_12","alias_value":"YAJH26TWW3SV","created_at":"2026-07-05T09:46:34Z"},{"alias_kind":"pith_short_16","alias_value":"YAJH26TWW3SVQDI4","created_at":"2026-07-05T09:46:34Z"},{"alias_kind":"pith_short_8","alias_value":"YAJH26TW","created_at":"2026-07-05T09:46:34Z"}],"graph_snapshots":[{"event_id":"sha256:203562eb1be00833c6eb0ce6ad604e60d795bc606d60a99b1e896af387cba5c1","target":"graph","created_at":"2026-07-05T09:46:34Z","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/2412.06604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce VOPy, an open-source Python library designed to address black-box vector optimization, where multiple objectives must be optimized simultaneously with respect to a partial order induced by a convex cone. VOPy extends beyond traditional multi-objective optimization (MOO) tools by enabling flexible, cone-based ordering of solutions; with an application scope that includes environments with observation noise, discrete or continuous design spaces, limited budgets, and batch observations. VOPy provides a modular architecture, facilitating the integration of existing methods and the dev","authors_text":"\\c{C}a\\u{g}{\\i}n Ararat, Cem Tekin, Efe Mert Karag\\\"ozl\\\"u, \\.Ilter Onat Korkmaz, Ya\\c{s}ar Cahit Y{\\i}ld{\\i}r{\\i}m","cross_cats":["stat.AP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-09T15:53:02Z","title":"VOPy: A Framework for Black-box Vector Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06604","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":"sha256:505300c835ec89aa68668148d49fdcbbec4386e374147a4e770289300a9b0b99","target":"record","created_at":"2026-07-05T09:46:34Z","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":"c70bc7f86392cd1b790fec9d489ca622e928b34a4255bc97c95435338bf8ec35","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-09T15:53:02Z","title_canon_sha256":"f259f051554e95073c98bdb79ca2c6c9f4505319a7acc6abde11a79865ab5830"},"schema_version":"1.0","source":{"id":"2412.06604","kind":"arxiv","version":1}},"canonical_sha256":"c0127d7a76b6e5580d1c091c34ab393400633ff51f850b19e3d10ca74ef99c66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0127d7a76b6e5580d1c091c34ab393400633ff51f850b19e3d10ca74ef99c66","first_computed_at":"2026-07-05T09:46:34.822600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:34.822600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I06ajlZdgKSEC3a9RDbl3EQfNIOcejL2Ah82bsrnSVmuC2nEne990rancEk4OAhA9zk7rcIBobZugvneOOP0Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:34.823089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06604","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:505300c835ec89aa68668148d49fdcbbec4386e374147a4e770289300a9b0b99","sha256:203562eb1be00833c6eb0ce6ad604e60d795bc606d60a99b1e896af387cba5c1"],"state_sha256":"fa39b775c2b8aa7c5f349eafe3bb6d1c2bf2971a806e93ff36fda159220fb6f4"}