{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EQUE2LBEFQ3MS7JEUUNPA63AYZ","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":"2baa3371cad725c0f10ceaea62b4f1c647a939d210006b64083cc110fab842cb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T08:41:56Z","title_canon_sha256":"301e68e2e51e3e63a7501f4155dad42a476f88d6e4e71da215c837a7798b01d2"},"schema_version":"1.0","source":{"id":"2605.25592","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25592","created_at":"2026-05-26T02:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25592v1","created_at":"2026-05-26T02:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25592","created_at":"2026-05-26T02:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"EQUE2LBEFQ3M","created_at":"2026-05-26T02:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"EQUE2LBEFQ3MS7JE","created_at":"2026-05-26T02:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"EQUE2LBE","created_at":"2026-05-26T02:04:44Z"}],"graph_snapshots":[{"event_id":"sha256:e89e108564b0b83f4eb43b9a62519573dc77f4480df1d6d9ba4e0a535b7c13f5","target":"graph","created_at":"2026-05-26T02:04:44Z","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/2605.25592/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study optimal experimental design for multinomial logit (MNL) bandits, where an agent repeatedly selects a subset of $K$ items from a ground set of size $N$ and observes single-choice feedback. Unlike linear or generalized linear bandits, MNL bandits have a combinatorial action space, which makes classical optimal design approaches and naive optimization over all subsets computationally intractable. We propose a computationally efficient optimal design framework for MNL models that achieves both statistical efficiency and scalability through two complementary approaches: (i) an exact or cer","authors_text":"Joongkyu Lee, Min-hwan Oh","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T08:41:56Z","title":"Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25592","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:f4f64c6e62eef42cd26cea8ef6675483a73d439d9f390236a14709a484e109eb","target":"record","created_at":"2026-05-26T02:04:44Z","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":"2baa3371cad725c0f10ceaea62b4f1c647a939d210006b64083cc110fab842cb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T08:41:56Z","title_canon_sha256":"301e68e2e51e3e63a7501f4155dad42a476f88d6e4e71da215c837a7798b01d2"},"schema_version":"1.0","source":{"id":"2605.25592","kind":"arxiv","version":1}},"canonical_sha256":"24284d2c242c36c97d24a51af07b60c6761db4ccae19b588db63cbad01fca28f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24284d2c242c36c97d24a51af07b60c6761db4ccae19b588db63cbad01fca28f","first_computed_at":"2026-05-26T02:04:44.609913Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:44.609913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zUJuJSzH2x8PLEOoC9JT1CMDzrRMyd+f745Flg7o1+ABJdgC0cGlpNsc/KKnmFM2BuNkesTOnD05Wli7vJakDQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:44.610586Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25592","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4f64c6e62eef42cd26cea8ef6675483a73d439d9f390236a14709a484e109eb","sha256:e89e108564b0b83f4eb43b9a62519573dc77f4480df1d6d9ba4e0a535b7c13f5"],"state_sha256":"3b00bdcfe5fe886748b05da9129ec77bd553bb13ab9659356bb1ee10af091acf"}