{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B4O6Y3WZW6POTNIEWILMBTJV23","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":"3da28a7f96ee2756ff3e749ebc856969a478acfd988a3461160885287fc44eb7","cross_cats_sorted":["cs.LG","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-06-18T09:54:23Z","title_canon_sha256":"b62a19b32f37bfc00b0d8f3771c40d8f286ced74dabd707ddedfbcf052c71979"},"schema_version":"1.0","source":{"id":"2606.20022","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20022","created_at":"2026-06-19T16:13:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20022v1","created_at":"2026-06-19T16:13:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20022","created_at":"2026-06-19T16:13:00Z"},{"alias_kind":"pith_short_12","alias_value":"B4O6Y3WZW6PO","created_at":"2026-06-19T16:13:00Z"},{"alias_kind":"pith_short_16","alias_value":"B4O6Y3WZW6POTNIE","created_at":"2026-06-19T16:13:00Z"},{"alias_kind":"pith_short_8","alias_value":"B4O6Y3WZ","created_at":"2026-06-19T16:13:00Z"}],"graph_snapshots":[{"event_id":"sha256:9458c4a303248b29c42ff54c74d4ba6da48c56e721c6214aa8c41b530ed1fd93","target":"graph","created_at":"2026-06-19T16:13:00Z","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/2606.20022/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper considers stochastic linear contextual bandits (SLCB) with bounded reward noise. Existing works typically assume sub-Gaussian reward noise and bounded expected rewards, under which the optimal regret bound scales as $\\tilde{O}(\\sqrt{T})$ in terms of horizon $T$. However, in many applications, realized/observed rewards are also naturally bounded, implying bounded reward noise. Bounded noise is more informative than the sub-Gaussian condition but has not been leveraged explicitly in the SLCB literature. In this paper, we propose a novel algorithm SME-OFU by utilizing an uncertainty qu","authors_text":"Haonan Xu, Yingying Li","cross_cats":["cs.LG","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-06-18T09:54:23Z","title":"Stochastic Linear Contextual Bandits with Bounded Noise: A Set-Membership Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20022","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":"sha256:89ded202939e5260a33f6b47d0ae811145ddd0827971a6a0c066108fe098396d","target":"record","created_at":"2026-06-19T16:13:00Z","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":"3da28a7f96ee2756ff3e749ebc856969a478acfd988a3461160885287fc44eb7","cross_cats_sorted":["cs.LG","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-06-18T09:54:23Z","title_canon_sha256":"b62a19b32f37bfc00b0d8f3771c40d8f286ced74dabd707ddedfbcf052c71979"},"schema_version":"1.0","source":{"id":"2606.20022","kind":"arxiv","version":1}},"canonical_sha256":"0f1dec6ed9b79ee9b504b216c0cd35d6e9bd43ce9976c89a53a96a0a4d002e02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f1dec6ed9b79ee9b504b216c0cd35d6e9bd43ce9976c89a53a96a0a4d002e02","first_computed_at":"2026-06-19T16:13:00.898361Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:00.898361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gc5OxCygZVFKi7ccA3Xp8iKVeMB/1b5Uy1FQeB2WwTi0Y4TCYNkulwQAL/SQQ5suH1XRuWSdRRv0wESEcRExAw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:00.898735Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20022","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89ded202939e5260a33f6b47d0ae811145ddd0827971a6a0c066108fe098396d","sha256:9458c4a303248b29c42ff54c74d4ba6da48c56e721c6214aa8c41b530ed1fd93"],"state_sha256":"411d0957b303dc0062c351fa47d1dbbc105ef85e33f7458a454d00285cc66e44"}