{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LVZFTV6D7AEJB62V3XTPYN54C6","short_pith_number":"pith:LVZFTV6D","canonical_record":{"source":{"id":"2503.00565","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-01T17:23:55Z","cross_cats_sorted":["cs.LG","math.ST","stat.ME","stat.TH"],"title_canon_sha256":"bd9e40a86de4afc63f0d859d0353949311136e17ec0f3cd1a241fb3028d0af58","abstract_canon_sha256":"9a215b77a5246c76c4cea06b14bbce2a8d8890cbcb329396e9852832b66c3015"},"schema_version":"1.0"},"canonical_sha256":"5d7259d7c3f80890fb55dde6fc37bc17a4e7b0434b3f42970628cc32db1d3f5a","source":{"kind":"arxiv","id":"2503.00565","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.00565","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2503.00565v3","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.00565","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"LVZFTV6D7AEJ","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"LVZFTV6D7AEJB62V","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"LVZFTV6D","created_at":"2026-05-21T02:04:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LVZFTV6D7AEJB62V3XTPYN54C6","target":"record","payload":{"canonical_record":{"source":{"id":"2503.00565","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-01T17:23:55Z","cross_cats_sorted":["cs.LG","math.ST","stat.ME","stat.TH"],"title_canon_sha256":"bd9e40a86de4afc63f0d859d0353949311136e17ec0f3cd1a241fb3028d0af58","abstract_canon_sha256":"9a215b77a5246c76c4cea06b14bbce2a8d8890cbcb329396e9852832b66c3015"},"schema_version":"1.0"},"canonical_sha256":"5d7259d7c3f80890fb55dde6fc37bc17a4e7b0434b3f42970628cc32db1d3f5a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T02:04:47.889507Z","signature_b64":"HZ6+4VJ16PYuqgoWaJOM+TAEwt13GvLYycHv/vQJsl1l56wWySSYzhZug4HNFmMBn6qm1gYUroWxxY4cCXAsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d7259d7c3f80890fb55dde6fc37bc17a4e7b0434b3f42970628cc32db1d3f5a","last_reissued_at":"2026-05-21T02:04:47.888582Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T02:04:47.888582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.00565","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":"2026-05-21T02:04:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hjyyEzixHVvn/Fsm3WNFuFdLpXq1E8CPhWBH4hudRZB6ekVHII8unwikaZZEH8tgMEj3qNok19/pUDjxExO7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T22:01:05.789094Z"},"content_sha256":"5333f752136695618a0a1f72880becd51a0a4e77b3fcb083fac69844b6252bd2","schema_version":"1.0","event_id":"sha256:5333f752136695618a0a1f72880becd51a0a4e77b3fcb083fac69844b6252bd2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LVZFTV6D7AEJB62V3XTPYN54C6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Batched Single-Index Global Multi-Armed Bandits with Covariates","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","math.ST","stat.ME","stat.TH"],"primary_cat":"stat.ML","authors_text":"Hyebin Song, Sakshi Arya","submitted_at":"2025-03-01T17:23:55Z","abstract_excerpt":"The multi-armed bandits (MAB) framework is a widely used approach for sequential decision-making, where a decision-maker selects an arm in each round with the goal of maximizing long-term rewards. In many practical applications, such as personalized medicine and recommendation systems, contextual information is available at the time of decision-making, rewards from different arms are related rather than independent, and feedback is provided in batches. We propose a novel semi-parametric framework for batched bandits with covariates that incorporates a shared parameter across arms. We leverage "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.00565","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/2503.00565/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":"2026-05-21T02:04:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gSGGvC+7kF7KLLZFZhxeXZi+JTizWEFroqpM5zRxztcxO6jAORRqb1Y8N7j1w3UfgKGh2V1f4U/lYM1kS8DDCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T22:01:05.789873Z"},"content_sha256":"7866f7f171a78e2d8964a4a49d51ca67c21f4c46bc810884fbffd8a19b64af4c","schema_version":"1.0","event_id":"sha256:7866f7f171a78e2d8964a4a49d51ca67c21f4c46bc810884fbffd8a19b64af4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LVZFTV6D7AEJB62V3XTPYN54C6/bundle.json","state_url":"https://pith.science/pith/LVZFTV6D7AEJB62V3XTPYN54C6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LVZFTV6D7AEJB62V3XTPYN54C6/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":"2026-05-28T22:01:05Z","links":{"resolver":"https://pith.science/pith/LVZFTV6D7AEJB62V3XTPYN54C6","bundle":"https://pith.science/pith/LVZFTV6D7AEJB62V3XTPYN54C6/bundle.json","state":"https://pith.science/pith/LVZFTV6D7AEJB62V3XTPYN54C6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LVZFTV6D7AEJB62V3XTPYN54C6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LVZFTV6D7AEJB62V3XTPYN54C6","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":"9a215b77a5246c76c4cea06b14bbce2a8d8890cbcb329396e9852832b66c3015","cross_cats_sorted":["cs.LG","math.ST","stat.ME","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-01T17:23:55Z","title_canon_sha256":"bd9e40a86de4afc63f0d859d0353949311136e17ec0f3cd1a241fb3028d0af58"},"schema_version":"1.0","source":{"id":"2503.00565","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.00565","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2503.00565v3","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.00565","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"LVZFTV6D7AEJ","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"LVZFTV6D7AEJB62V","created_at":"2026-05-21T02:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"LVZFTV6D","created_at":"2026-05-21T02:04:47Z"}],"graph_snapshots":[{"event_id":"sha256:7866f7f171a78e2d8964a4a49d51ca67c21f4c46bc810884fbffd8a19b64af4c","target":"graph","created_at":"2026-05-21T02:04:47Z","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/2503.00565/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The multi-armed bandits (MAB) framework is a widely used approach for sequential decision-making, where a decision-maker selects an arm in each round with the goal of maximizing long-term rewards. In many practical applications, such as personalized medicine and recommendation systems, contextual information is available at the time of decision-making, rewards from different arms are related rather than independent, and feedback is provided in batches. We propose a novel semi-parametric framework for batched bandits with covariates that incorporates a shared parameter across arms. We leverage ","authors_text":"Hyebin Song, Sakshi Arya","cross_cats":["cs.LG","math.ST","stat.ME","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-01T17:23:55Z","title":"Batched Single-Index Global Multi-Armed Bandits with Covariates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.00565","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":"sha256:5333f752136695618a0a1f72880becd51a0a4e77b3fcb083fac69844b6252bd2","target":"record","created_at":"2026-05-21T02:04:47Z","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":"9a215b77a5246c76c4cea06b14bbce2a8d8890cbcb329396e9852832b66c3015","cross_cats_sorted":["cs.LG","math.ST","stat.ME","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-01T17:23:55Z","title_canon_sha256":"bd9e40a86de4afc63f0d859d0353949311136e17ec0f3cd1a241fb3028d0af58"},"schema_version":"1.0","source":{"id":"2503.00565","kind":"arxiv","version":3}},"canonical_sha256":"5d7259d7c3f80890fb55dde6fc37bc17a4e7b0434b3f42970628cc32db1d3f5a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d7259d7c3f80890fb55dde6fc37bc17a4e7b0434b3f42970628cc32db1d3f5a","first_computed_at":"2026-05-21T02:04:47.888582Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T02:04:47.888582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HZ6+4VJ16PYuqgoWaJOM+TAEwt13GvLYycHv/vQJsl1l56wWySSYzhZug4HNFmMBn6qm1gYUroWxxY4cCXAsAQ==","signature_status":"signed_v1","signed_at":"2026-05-21T02:04:47.889507Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.00565","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5333f752136695618a0a1f72880becd51a0a4e77b3fcb083fac69844b6252bd2","sha256:7866f7f171a78e2d8964a4a49d51ca67c21f4c46bc810884fbffd8a19b64af4c"],"state_sha256":"125f35c22c2ab25ab981c788533d40fd7c86a3df1e90a6f78e5a8fda36669061"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pge+3mOtVfv1LCM7n0ce8WzaDTjpwLgU7z1HMvLEHv4eK+sugMcrMDzPqhIkl6NMWFXfgRvDTDYNM/e/L/BCAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T22:01:05.793804Z","bundle_sha256":"1bf35bd0881afebc8ee2b317221a1dfc307ed69cf4bf009ae08785f481327905"}}