{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:S4PLDQDLXOZEZJYOVYH2OGUKZY","short_pith_number":"pith:S4PLDQDL","canonical_record":{"source":{"id":"2302.06916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T09:03:35Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"e8f7278fe17f32f1608d68b5fc0d0f7856cc62041e45ff6d0ad1f48dd503723e","abstract_canon_sha256":"9a5f4c9e73e55591151d106bd4d336a869d9de3773b55e6315aea7a9ca7db15f"},"schema_version":"1.0"},"canonical_sha256":"971eb1c06bbbb24ca70eae0fa71a8ace20769b029f47ed9a15baa3268dc17541","source":{"kind":"arxiv","id":"2302.06916","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.06916","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"arxiv_version","alias_value":"2302.06916v1","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.06916","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"pith_short_12","alias_value":"S4PLDQDLXOZE","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"pith_short_16","alias_value":"S4PLDQDLXOZEZJYO","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"pith_short_8","alias_value":"S4PLDQDL","created_at":"2026-07-05T05:41:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:S4PLDQDLXOZEZJYOVYH2OGUKZY","target":"record","payload":{"canonical_record":{"source":{"id":"2302.06916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T09:03:35Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"e8f7278fe17f32f1608d68b5fc0d0f7856cc62041e45ff6d0ad1f48dd503723e","abstract_canon_sha256":"9a5f4c9e73e55591151d106bd4d336a869d9de3773b55e6315aea7a9ca7db15f"},"schema_version":"1.0"},"canonical_sha256":"971eb1c06bbbb24ca70eae0fa71a8ace20769b029f47ed9a15baa3268dc17541","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:41:45.069222Z","signature_b64":"U336j09yl5RVskcl9HqTEGcvKSf7goNzpYKkqL8IGiedbFMKKBtiSabPqP9q6nloCaLTMWu/6mqxfZhB7QHiAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"971eb1c06bbbb24ca70eae0fa71a8ace20769b029f47ed9a15baa3268dc17541","last_reissued_at":"2026-07-05T05:41:45.068795Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:41:45.068795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.06916","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:41:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nut5S30/Xus8AOGlj04I5JB52W/6555ACB/yeT6tNFCkaEpG0SbwJ38SlgBLfwg/iIbjXZgZak1vr7zw/EOuDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:49:21.548247Z"},"content_sha256":"f832b071d2a520da79c0ed06a9b5658c9f928227c3434c45e0d46a68335eefc3","schema_version":"1.0","event_id":"sha256:f832b071d2a520da79c0ed06a9b5658c9f928227c3434c45e0d46a68335eefc3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:S4PLDQDLXOZEZJYOVYH2OGUKZY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Effective Dimension in Bandit Problems under Censorship","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Gauthier Guinet, Patrick Jaillet, Saurabh Amin","submitted_at":"2023-02-14T09:03:35Z","abstract_excerpt":"In this paper, we study both multi-armed and contextual bandit problems in censored environments. Our goal is to estimate the performance loss due to censorship in the context of classical algorithms designed for uncensored environments. Our main contributions include the introduction of a broad class of censorship models and their analysis in terms of the effective dimension of the problem -- a natural measure of its underlying statistical complexity and main driver of the regret bound. In particular, the effective dimension allows us to maintain the structure of the original problem at first"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.06916","kind":"arxiv","version":1},"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/2302.06916/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":"2026-07-05T05:41:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GK2mApaJhnE3ueYveYNwvP7feKcT3CTJqXJRsh0ulfa25wRnOimrrKLzyO+lzQsW4Zsk/DDMX2ekL/XT2RzNBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:49:21.548988Z"},"content_sha256":"d850424bd0113e174218c96efaa4a56c550c56a1a7603bcfe522d261d658d8e6","schema_version":"1.0","event_id":"sha256:d850424bd0113e174218c96efaa4a56c550c56a1a7603bcfe522d261d658d8e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S4PLDQDLXOZEZJYOVYH2OGUKZY/bundle.json","state_url":"https://pith.science/pith/S4PLDQDLXOZEZJYOVYH2OGUKZY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S4PLDQDLXOZEZJYOVYH2OGUKZY/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":"2026-08-06T04:49:21Z","links":{"resolver":"https://pith.science/pith/S4PLDQDLXOZEZJYOVYH2OGUKZY","bundle":"https://pith.science/pith/S4PLDQDLXOZEZJYOVYH2OGUKZY/bundle.json","state":"https://pith.science/pith/S4PLDQDLXOZEZJYOVYH2OGUKZY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S4PLDQDLXOZEZJYOVYH2OGUKZY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:S4PLDQDLXOZEZJYOVYH2OGUKZY","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":"9a5f4c9e73e55591151d106bd4d336a869d9de3773b55e6315aea7a9ca7db15f","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T09:03:35Z","title_canon_sha256":"e8f7278fe17f32f1608d68b5fc0d0f7856cc62041e45ff6d0ad1f48dd503723e"},"schema_version":"1.0","source":{"id":"2302.06916","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.06916","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"arxiv_version","alias_value":"2302.06916v1","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.06916","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"pith_short_12","alias_value":"S4PLDQDLXOZE","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"pith_short_16","alias_value":"S4PLDQDLXOZEZJYO","created_at":"2026-07-05T05:41:45Z"},{"alias_kind":"pith_short_8","alias_value":"S4PLDQDL","created_at":"2026-07-05T05:41:45Z"}],"graph_snapshots":[{"event_id":"sha256:d850424bd0113e174218c96efaa4a56c550c56a1a7603bcfe522d261d658d8e6","target":"graph","created_at":"2026-07-05T05:41:45Z","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/2302.06916/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we study both multi-armed and contextual bandit problems in censored environments. Our goal is to estimate the performance loss due to censorship in the context of classical algorithms designed for uncensored environments. Our main contributions include the introduction of a broad class of censorship models and their analysis in terms of the effective dimension of the problem -- a natural measure of its underlying statistical complexity and main driver of the regret bound. In particular, the effective dimension allows us to maintain the structure of the original problem at first","authors_text":"Gauthier Guinet, Patrick Jaillet, Saurabh Amin","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T09:03:35Z","title":"Effective Dimension in Bandit Problems under Censorship"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.06916","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:f832b071d2a520da79c0ed06a9b5658c9f928227c3434c45e0d46a68335eefc3","target":"record","created_at":"2026-07-05T05:41:45Z","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":"9a5f4c9e73e55591151d106bd4d336a869d9de3773b55e6315aea7a9ca7db15f","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-14T09:03:35Z","title_canon_sha256":"e8f7278fe17f32f1608d68b5fc0d0f7856cc62041e45ff6d0ad1f48dd503723e"},"schema_version":"1.0","source":{"id":"2302.06916","kind":"arxiv","version":1}},"canonical_sha256":"971eb1c06bbbb24ca70eae0fa71a8ace20769b029f47ed9a15baa3268dc17541","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"971eb1c06bbbb24ca70eae0fa71a8ace20769b029f47ed9a15baa3268dc17541","first_computed_at":"2026-07-05T05:41:45.068795Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:41:45.068795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U336j09yl5RVskcl9HqTEGcvKSf7goNzpYKkqL8IGiedbFMKKBtiSabPqP9q6nloCaLTMWu/6mqxfZhB7QHiAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:41:45.069222Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.06916","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f832b071d2a520da79c0ed06a9b5658c9f928227c3434c45e0d46a68335eefc3","sha256:d850424bd0113e174218c96efaa4a56c550c56a1a7603bcfe522d261d658d8e6"],"state_sha256":"6d47ee940b58600d4781440b06bc07953b54b28c038d7526ad86e4a2b5b9fa71"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2J2NVoOGKv0QGF7x+538OqYj0RuHjBtoCOXGlJlJL6kD0DC4xagGPzI8HtCLE5oIYLI+sTzRpm86bWiqI3FkAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T04:49:21.554771Z","bundle_sha256":"ff8eed658820859d1e7663e304efbd1f05b7f25caa1b9f016a84669a06d52df9"}}