{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LYA7Q7EJ3V5OIOLR573Z35MYYU","short_pith_number":"pith:LYA7Q7EJ","canonical_record":{"source":{"id":"2310.00539","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-01T01:37:02Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"cefcdf4adc0a0212a481652d8235381d937681ccd66a31120738a356a3e8f1d9","abstract_canon_sha256":"fd5f52d68e22524c4fb13126113500eb197f8be8ef406ff177cf58b0e2a189e3"},"schema_version":"1.0"},"canonical_sha256":"5e01f87c89dd7ae43971eff79df598c509363d84bc6fd1b84099ff2169253ac3","source":{"kind":"arxiv","id":"2310.00539","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.00539","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"arxiv_version","alias_value":"2310.00539v4","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.00539","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"pith_short_12","alias_value":"LYA7Q7EJ3V5O","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"pith_short_16","alias_value":"LYA7Q7EJ3V5OIOLR","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"pith_short_8","alias_value":"LYA7Q7EJ","created_at":"2026-07-05T11:51:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LYA7Q7EJ3V5OIOLR573Z35MYYU","target":"record","payload":{"canonical_record":{"source":{"id":"2310.00539","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-01T01:37:02Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"cefcdf4adc0a0212a481652d8235381d937681ccd66a31120738a356a3e8f1d9","abstract_canon_sha256":"fd5f52d68e22524c4fb13126113500eb197f8be8ef406ff177cf58b0e2a189e3"},"schema_version":"1.0"},"canonical_sha256":"5e01f87c89dd7ae43971eff79df598c509363d84bc6fd1b84099ff2169253ac3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:51:13.647703Z","signature_b64":"vqjCNOZISScxxTFBe6rwUYGQvwQ2JbcLqb5FncZ8sjqdT8zW93uRPjiDCbU6exArjI9D9aA3Fl+aA6Hjzac3Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e01f87c89dd7ae43971eff79df598c509363d84bc6fd1b84099ff2169253ac3","last_reissued_at":"2026-07-05T11:51:13.647193Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:51:13.647193Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.00539","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:51:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iEckAAjSTkexGRrYgn4fUph3Hku20K+A55/GVnXR7rzLjKbsP+yiFzRt87JIKl+67Ph8AqG87nLnIKaFbf6yDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T09:12:47.749690Z"},"content_sha256":"27f3cdf115e07a92f4d1cad2fba85cc0528fbe2be173d758f3b09cffa657fd3e","schema_version":"1.0","event_id":"sha256:27f3cdf115e07a92f4d1cad2fba85cc0528fbe2be173d758f3b09cffa657fd3e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LYA7Q7EJ3V5OIOLR573Z35MYYU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Thompson Exploration with Best Challenger Rule in Best Arm Identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Jongyeong Lee, Junya Honda, Masashi Sugiyama","submitted_at":"2023-10-01T01:37:02Z","abstract_excerpt":"This paper studies the fixed-confidence best arm identification (BAI) problem in the bandit framework in the canonical single-parameter exponential models. For this problem, many policies have been proposed, but most of them require solving an optimization problem at every round and/or are forced to explore an arm at least a certain number of times except those restricted to the Gaussian model. To address these limitations, we propose a novel policy that combines Thompson sampling with a computationally efficient approach known as the best challenger rule. While Thompson sampling was originall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.00539","kind":"arxiv","version":4},"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/2310.00539/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":"2026-07-05T11:51:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Rz8uYR5rPTDenGU268BTRzJMZkEgDjtckeCIGxjhN2BKR5ZinVd2Nh3epYBHvvgZk6sM2q3UVUnUknDMhjFBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T09:12:47.750065Z"},"content_sha256":"33e5d9ef2d404d502ce40d5b05193d3e754e956da45dd87a5dfd291bd6a03b52","schema_version":"1.0","event_id":"sha256:33e5d9ef2d404d502ce40d5b05193d3e754e956da45dd87a5dfd291bd6a03b52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LYA7Q7EJ3V5OIOLR573Z35MYYU/bundle.json","state_url":"https://pith.science/pith/LYA7Q7EJ3V5OIOLR573Z35MYYU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LYA7Q7EJ3V5OIOLR573Z35MYYU/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":"2026-07-06T09:12:47Z","links":{"resolver":"https://pith.science/pith/LYA7Q7EJ3V5OIOLR573Z35MYYU","bundle":"https://pith.science/pith/LYA7Q7EJ3V5OIOLR573Z35MYYU/bundle.json","state":"https://pith.science/pith/LYA7Q7EJ3V5OIOLR573Z35MYYU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LYA7Q7EJ3V5OIOLR573Z35MYYU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LYA7Q7EJ3V5OIOLR573Z35MYYU","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":"fd5f52d68e22524c4fb13126113500eb197f8be8ef406ff177cf58b0e2a189e3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-01T01:37:02Z","title_canon_sha256":"cefcdf4adc0a0212a481652d8235381d937681ccd66a31120738a356a3e8f1d9"},"schema_version":"1.0","source":{"id":"2310.00539","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.00539","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"arxiv_version","alias_value":"2310.00539v4","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.00539","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"pith_short_12","alias_value":"LYA7Q7EJ3V5O","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"pith_short_16","alias_value":"LYA7Q7EJ3V5OIOLR","created_at":"2026-07-05T11:51:13Z"},{"alias_kind":"pith_short_8","alias_value":"LYA7Q7EJ","created_at":"2026-07-05T11:51:13Z"}],"graph_snapshots":[{"event_id":"sha256:33e5d9ef2d404d502ce40d5b05193d3e754e956da45dd87a5dfd291bd6a03b52","target":"graph","created_at":"2026-07-05T11:51:13Z","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/2310.00539/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies the fixed-confidence best arm identification (BAI) problem in the bandit framework in the canonical single-parameter exponential models. For this problem, many policies have been proposed, but most of them require solving an optimization problem at every round and/or are forced to explore an arm at least a certain number of times except those restricted to the Gaussian model. To address these limitations, we propose a novel policy that combines Thompson sampling with a computationally efficient approach known as the best challenger rule. While Thompson sampling was originall","authors_text":"Jongyeong Lee, Junya Honda, Masashi Sugiyama","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-01T01:37:02Z","title":"Thompson Exploration with Best Challenger Rule in Best Arm Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.00539","kind":"arxiv","version":4},"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":"sha256:27f3cdf115e07a92f4d1cad2fba85cc0528fbe2be173d758f3b09cffa657fd3e","target":"record","created_at":"2026-07-05T11:51:13Z","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":"fd5f52d68e22524c4fb13126113500eb197f8be8ef406ff177cf58b0e2a189e3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-10-01T01:37:02Z","title_canon_sha256":"cefcdf4adc0a0212a481652d8235381d937681ccd66a31120738a356a3e8f1d9"},"schema_version":"1.0","source":{"id":"2310.00539","kind":"arxiv","version":4}},"canonical_sha256":"5e01f87c89dd7ae43971eff79df598c509363d84bc6fd1b84099ff2169253ac3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e01f87c89dd7ae43971eff79df598c509363d84bc6fd1b84099ff2169253ac3","first_computed_at":"2026-07-05T11:51:13.647193Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:51:13.647193Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vqjCNOZISScxxTFBe6rwUYGQvwQ2JbcLqb5FncZ8sjqdT8zW93uRPjiDCbU6exArjI9D9aA3Fl+aA6Hjzac3Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:51:13.647703Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.00539","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27f3cdf115e07a92f4d1cad2fba85cc0528fbe2be173d758f3b09cffa657fd3e","sha256:33e5d9ef2d404d502ce40d5b05193d3e754e956da45dd87a5dfd291bd6a03b52"],"state_sha256":"53e507e1989733906634609f3c33fe6fa8d91240be3ca40d204b0a2c619500f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pkMyNbr7A3WE5znS/+GNmbJsaooArmvylGMtNKx8itC+t41xGrMPsBRmNymzPLo+t7ma5MclmtYQDyYp8KCBAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T09:12:47.752043Z","bundle_sha256":"3cf52ef4905084aec60990e407010d2cef8c8af2206080493c33bb85993bf6ce"}}