{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FDO7FSF2LBLYMYJ34SZWTRIZYB","short_pith_number":"pith:FDO7FSF2","canonical_record":{"source":{"id":"2410.07533","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T02:01:46Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"756ce6dc98754aaabcc67c94189acf768de38ef096862f1f2dea2b1fa96420b3","abstract_canon_sha256":"b2cada72663f3710527cac380bc17d0d20aad5ebb15e5cd2d04e92019d71cd3a"},"schema_version":"1.0"},"canonical_sha256":"28ddf2c8ba585786613be4b369c519c067cec6313e8d61d2767af118b576793d","source":{"kind":"arxiv","id":"2410.07533","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07533","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07533v3","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07533","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_12","alias_value":"FDO7FSF2LBLY","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_16","alias_value":"FDO7FSF2LBLYMYJ3","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_8","alias_value":"FDO7FSF2","created_at":"2026-07-05T09:22:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FDO7FSF2LBLYMYJ34SZWTRIZYB","target":"record","payload":{"canonical_record":{"source":{"id":"2410.07533","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T02:01:46Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"756ce6dc98754aaabcc67c94189acf768de38ef096862f1f2dea2b1fa96420b3","abstract_canon_sha256":"b2cada72663f3710527cac380bc17d0d20aad5ebb15e5cd2d04e92019d71cd3a"},"schema_version":"1.0"},"canonical_sha256":"28ddf2c8ba585786613be4b369c519c067cec6313e8d61d2767af118b576793d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:22.563982Z","signature_b64":"frcJoZwDqJuXdNj8lyEybhdrd/cc+qPaIpC4C/TO2zrAKMxoKFMk4Ejo4RGDCSMKRVWbWduCe5lhhXTL0sT9Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28ddf2c8ba585786613be4b369c519c067cec6313e8d61d2767af118b576793d","last_reissued_at":"2026-07-05T09:22:22.563523Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:22.563523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.07533","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:22:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/uE3ECU7Y3R3dcAEZZ16jQ98axg1qTOm7Kbh2wA/GGXxJX9xMqS2mSpmkOAs2pDTOK9fLZYJznAtq1wnFYGnAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:48:12.329618Z"},"content_sha256":"cdab189b337dd2bdc7c131ca3fa5d27886237aded22b58b3e0ab228ac3108dd2","schema_version":"1.0","event_id":"sha256:cdab189b337dd2bdc7c131ca3fa5d27886237aded22b58b3e0ab228ac3108dd2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FDO7FSF2LBLYMYJ34SZWTRIZYB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Andrew Wagenmaker, Artin Tajdini, Chen-Yu Wei, Haolin Liu","submitted_at":"2024-10-10T02:01:46Z","abstract_excerpt":"In linear bandits, how can a learner effectively learn when facing corrupted rewards? While significant work has explored this question, a holistic understanding across different adversarial models and corruption measures is lacking, as is a full characterization of the minimax regret bounds. In this work, we compare two types of corruptions commonly considered: strong corruption, where the corruption level depends on the action chosen by the learner, and weak corruption, where the corruption level does not depend on the action chosen by the learner. We provide a unified framework to analyze t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07533","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.07533/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:22:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vTvAH98SVht+ruANA5SUV1t04yQuWbs7mIswT+wqRogqgqOmx6RrYxKx9oHJqfmXrmilRDHqd6ELm6JiqFPbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:48:12.330007Z"},"content_sha256":"d2e8a2f3919a4c57df5b0c75c39eaaf0c0f647c819ff24e0972acad5583b4f7b","schema_version":"1.0","event_id":"sha256:d2e8a2f3919a4c57df5b0c75c39eaaf0c0f647c819ff24e0972acad5583b4f7b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FDO7FSF2LBLYMYJ34SZWTRIZYB/bundle.json","state_url":"https://pith.science/pith/FDO7FSF2LBLYMYJ34SZWTRIZYB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FDO7FSF2LBLYMYJ34SZWTRIZYB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-05T15:48:12Z","links":{"resolver":"https://pith.science/pith/FDO7FSF2LBLYMYJ34SZWTRIZYB","bundle":"https://pith.science/pith/FDO7FSF2LBLYMYJ34SZWTRIZYB/bundle.json","state":"https://pith.science/pith/FDO7FSF2LBLYMYJ34SZWTRIZYB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FDO7FSF2LBLYMYJ34SZWTRIZYB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FDO7FSF2LBLYMYJ34SZWTRIZYB","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":"b2cada72663f3710527cac380bc17d0d20aad5ebb15e5cd2d04e92019d71cd3a","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T02:01:46Z","title_canon_sha256":"756ce6dc98754aaabcc67c94189acf768de38ef096862f1f2dea2b1fa96420b3"},"schema_version":"1.0","source":{"id":"2410.07533","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07533","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07533v3","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07533","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_12","alias_value":"FDO7FSF2LBLY","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_16","alias_value":"FDO7FSF2LBLYMYJ3","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_8","alias_value":"FDO7FSF2","created_at":"2026-07-05T09:22:22Z"}],"graph_snapshots":[{"event_id":"sha256:d2e8a2f3919a4c57df5b0c75c39eaaf0c0f647c819ff24e0972acad5583b4f7b","target":"graph","created_at":"2026-07-05T09:22:22Z","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/2410.07533/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In linear bandits, how can a learner effectively learn when facing corrupted rewards? While significant work has explored this question, a holistic understanding across different adversarial models and corruption measures is lacking, as is a full characterization of the minimax regret bounds. In this work, we compare two types of corruptions commonly considered: strong corruption, where the corruption level depends on the action chosen by the learner, and weak corruption, where the corruption level does not depend on the action chosen by the learner. We provide a unified framework to analyze t","authors_text":"Andrew Wagenmaker, Artin Tajdini, Chen-Yu Wei, Haolin Liu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T02:01:46Z","title":"Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07533","kind":"arxiv","version":3},"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:cdab189b337dd2bdc7c131ca3fa5d27886237aded22b58b3e0ab228ac3108dd2","target":"record","created_at":"2026-07-05T09:22:22Z","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":"b2cada72663f3710527cac380bc17d0d20aad5ebb15e5cd2d04e92019d71cd3a","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-10T02:01:46Z","title_canon_sha256":"756ce6dc98754aaabcc67c94189acf768de38ef096862f1f2dea2b1fa96420b3"},"schema_version":"1.0","source":{"id":"2410.07533","kind":"arxiv","version":3}},"canonical_sha256":"28ddf2c8ba585786613be4b369c519c067cec6313e8d61d2767af118b576793d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"28ddf2c8ba585786613be4b369c519c067cec6313e8d61d2767af118b576793d","first_computed_at":"2026-07-05T09:22:22.563523Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:22.563523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"frcJoZwDqJuXdNj8lyEybhdrd/cc+qPaIpC4C/TO2zrAKMxoKFMk4Ejo4RGDCSMKRVWbWduCe5lhhXTL0sT9Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:22.563982Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.07533","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdab189b337dd2bdc7c131ca3fa5d27886237aded22b58b3e0ab228ac3108dd2","sha256:d2e8a2f3919a4c57df5b0c75c39eaaf0c0f647c819ff24e0972acad5583b4f7b"],"state_sha256":"1928dccacfa2d720dadd4c0c35512f959c89a7c65b3635942dabe3657e2a3537"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D+q2UYlJaGrTI596GZkJ2NLyj053JCeT3raTskR5vKdecnqn77ZviqJ4y+4cm4lbqPXJpV9gHlERDqafLn/sCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T15:48:12.332854Z","bundle_sha256":"cd0d9a7aa45f4696733120e5f36740854bc7361ff3a5dd71e72874b3f08a2a9f"}}