{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5OOVRWJ3K6CAS75PCI3MUDJIHA","short_pith_number":"pith:5OOVRWJ3","canonical_record":{"source":{"id":"2408.14195","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T11:47:52Z","cross_cats_sorted":["cs.AI","math.PR","stat.ML"],"title_canon_sha256":"144bf2fc7d108ad0be0e2feaa59febf4b03a47c9c650316ba19b0ced82dbc97d","abstract_canon_sha256":"e9f49ffc8f29bf754d5c8b19a2ffe9dc4979b60fb6b1a4434b58c44d6a455090"},"schema_version":"1.0"},"canonical_sha256":"eb9d58d93b5784097faf1236ca0d28380a72c48eb6658c5bc1ccccac965adbcf","source":{"kind":"arxiv","id":"2408.14195","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14195","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14195v1","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14195","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_12","alias_value":"5OOVRWJ3K6CA","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_16","alias_value":"5OOVRWJ3K6CAS75P","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_8","alias_value":"5OOVRWJ3","created_at":"2026-07-05T08:59:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5OOVRWJ3K6CAS75PCI3MUDJIHA","target":"record","payload":{"canonical_record":{"source":{"id":"2408.14195","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T11:47:52Z","cross_cats_sorted":["cs.AI","math.PR","stat.ML"],"title_canon_sha256":"144bf2fc7d108ad0be0e2feaa59febf4b03a47c9c650316ba19b0ced82dbc97d","abstract_canon_sha256":"e9f49ffc8f29bf754d5c8b19a2ffe9dc4979b60fb6b1a4434b58c44d6a455090"},"schema_version":"1.0"},"canonical_sha256":"eb9d58d93b5784097faf1236ca0d28380a72c48eb6658c5bc1ccccac965adbcf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:17.624805Z","signature_b64":"RvGyAYXzERMIr5aIsz2+i6NgNigtHkG1PlRXHoaeWFV283SZWWOiBFb6nG0+JT9MxlthBDXGOnj/OWnjs4feAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb9d58d93b5784097faf1236ca0d28380a72c48eb6658c5bc1ccccac965adbcf","last_reissued_at":"2026-07-05T08:59:17.624389Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:17.624389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.14195","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":"2026-07-05T08:59:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ypCvZviKNhdnnwiCYH1VX8KOJHuOPOcMBALr4UqCvxxHJAE0EAobD+njk71WtMjfnjPQlNw4R/VX5mePYMRAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T07:53:16.624068Z"},"content_sha256":"206c33a04a33bfc3315c7daa390b11d72760af44b988ea23ee3bb77dc9768218","schema_version":"1.0","event_id":"sha256:206c33a04a33bfc3315c7daa390b11d72760af44b988ea23ee3bb77dc9768218"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5OOVRWJ3K6CAS75PCI3MUDJIHA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Representative Arm Identification: A fixed confidence approach to identify cluster representatives","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","math.PR","stat.ML"],"primary_cat":"cs.LG","authors_text":"Aniket Yadav, Jayakrishnan Nair, Nikhil Karamchandani, Sarvesh Gharat","submitted_at":"2024-08-26T11:47:52Z","abstract_excerpt":"We study the representative arm identification (RAI) problem in the multi-armed bandits (MAB) framework, wherein we have a collection of arms, each associated with an unknown reward distribution. An underlying instance is defined by a partitioning of the arms into clusters of predefined sizes, such that for any $j > i$, all arms in cluster $i$ have a larger mean reward than those in cluster $j$. The goal in RAI is to reliably identify a certain prespecified number of arms from each cluster, while using as few arm pulls as possible. The RAI problem covers as special cases several well-studied M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14195","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/2408.14195/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":"2026-07-05T08:59:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"md6iLgjqzBrLZb0MVHqcfXpglPo4+lnyOB0t+I+aemQXNaa2tiFGeRsEv93XOSJFPPmnSImbl20XyHrJOyYMAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T07:53:16.624726Z"},"content_sha256":"2f999adfde33a4420b1fa31b179734ff80bed09a1f684707e4fadf6ddabc42b5","schema_version":"1.0","event_id":"sha256:2f999adfde33a4420b1fa31b179734ff80bed09a1f684707e4fadf6ddabc42b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5OOVRWJ3K6CAS75PCI3MUDJIHA/bundle.json","state_url":"https://pith.science/pith/5OOVRWJ3K6CAS75PCI3MUDJIHA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5OOVRWJ3K6CAS75PCI3MUDJIHA/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":"2026-08-19T07:53:16Z","links":{"resolver":"https://pith.science/pith/5OOVRWJ3K6CAS75PCI3MUDJIHA","bundle":"https://pith.science/pith/5OOVRWJ3K6CAS75PCI3MUDJIHA/bundle.json","state":"https://pith.science/pith/5OOVRWJ3K6CAS75PCI3MUDJIHA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5OOVRWJ3K6CAS75PCI3MUDJIHA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5OOVRWJ3K6CAS75PCI3MUDJIHA","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":"e9f49ffc8f29bf754d5c8b19a2ffe9dc4979b60fb6b1a4434b58c44d6a455090","cross_cats_sorted":["cs.AI","math.PR","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T11:47:52Z","title_canon_sha256":"144bf2fc7d108ad0be0e2feaa59febf4b03a47c9c650316ba19b0ced82dbc97d"},"schema_version":"1.0","source":{"id":"2408.14195","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14195","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14195v1","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14195","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_12","alias_value":"5OOVRWJ3K6CA","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_16","alias_value":"5OOVRWJ3K6CAS75P","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_8","alias_value":"5OOVRWJ3","created_at":"2026-07-05T08:59:17Z"}],"graph_snapshots":[{"event_id":"sha256:2f999adfde33a4420b1fa31b179734ff80bed09a1f684707e4fadf6ddabc42b5","target":"graph","created_at":"2026-07-05T08:59:17Z","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/2408.14195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the representative arm identification (RAI) problem in the multi-armed bandits (MAB) framework, wherein we have a collection of arms, each associated with an unknown reward distribution. An underlying instance is defined by a partitioning of the arms into clusters of predefined sizes, such that for any $j > i$, all arms in cluster $i$ have a larger mean reward than those in cluster $j$. The goal in RAI is to reliably identify a certain prespecified number of arms from each cluster, while using as few arm pulls as possible. The RAI problem covers as special cases several well-studied M","authors_text":"Aniket Yadav, Jayakrishnan Nair, Nikhil Karamchandani, Sarvesh Gharat","cross_cats":["cs.AI","math.PR","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T11:47:52Z","title":"Representative Arm Identification: A fixed confidence approach to identify cluster representatives"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14195","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":"sha256:206c33a04a33bfc3315c7daa390b11d72760af44b988ea23ee3bb77dc9768218","target":"record","created_at":"2026-07-05T08:59:17Z","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":"e9f49ffc8f29bf754d5c8b19a2ffe9dc4979b60fb6b1a4434b58c44d6a455090","cross_cats_sorted":["cs.AI","math.PR","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T11:47:52Z","title_canon_sha256":"144bf2fc7d108ad0be0e2feaa59febf4b03a47c9c650316ba19b0ced82dbc97d"},"schema_version":"1.0","source":{"id":"2408.14195","kind":"arxiv","version":1}},"canonical_sha256":"eb9d58d93b5784097faf1236ca0d28380a72c48eb6658c5bc1ccccac965adbcf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb9d58d93b5784097faf1236ca0d28380a72c48eb6658c5bc1ccccac965adbcf","first_computed_at":"2026-07-05T08:59:17.624389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:17.624389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RvGyAYXzERMIr5aIsz2+i6NgNigtHkG1PlRXHoaeWFV283SZWWOiBFb6nG0+JT9MxlthBDXGOnj/OWnjs4feAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:17.624805Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.14195","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:206c33a04a33bfc3315c7daa390b11d72760af44b988ea23ee3bb77dc9768218","sha256:2f999adfde33a4420b1fa31b179734ff80bed09a1f684707e4fadf6ddabc42b5"],"state_sha256":"9c88553488da399829d4f9acfe63c81a60153c17b1f68f58181234af43de8d18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hJFP+9BQoS4Tlk7PGEdXF0Xj5pe9aR0og83fH9ivitwPuVs1obj3Xv8frwacLrA0hN1YZMtkDkW4BCw19rznCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T07:53:16.630439Z","bundle_sha256":"4f89aff7f8f52953161a2aa6dbfc0898ada09114e949dcca478529e05cd5bf90"}}