{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UKQQEXZSBILUK7DP7U3QPEEFO3","short_pith_number":"pith:UKQQEXZS","canonical_record":{"source":{"id":"2309.08710","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-15T19:01:42Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"a9fa40144e072e640b264df49b228e1b4114d2f6cc3d1db616e8dde59a803874","abstract_canon_sha256":"82559aabc9b56b2cabbced38761d8089ca03230fe9df97b3315404c52b378f82"},"schema_version":"1.0"},"canonical_sha256":"a2a1025f320a17457c6ffd3707908576e5dd0585ef9265d81aa73c36d9916443","source":{"kind":"arxiv","id":"2309.08710","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.08710","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"arxiv_version","alias_value":"2309.08710v3","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.08710","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"pith_short_12","alias_value":"UKQQEXZSBILU","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"pith_short_16","alias_value":"UKQQEXZSBILUK7DP","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"pith_short_8","alias_value":"UKQQEXZS","created_at":"2026-07-05T11:10:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UKQQEXZSBILUK7DP7U3QPEEFO3","target":"record","payload":{"canonical_record":{"source":{"id":"2309.08710","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-15T19:01:42Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"a9fa40144e072e640b264df49b228e1b4114d2f6cc3d1db616e8dde59a803874","abstract_canon_sha256":"82559aabc9b56b2cabbced38761d8089ca03230fe9df97b3315404c52b378f82"},"schema_version":"1.0"},"canonical_sha256":"a2a1025f320a17457c6ffd3707908576e5dd0585ef9265d81aa73c36d9916443","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:30.249880Z","signature_b64":"CDzChIgo9Ks2upFCZKXwJe6yOvPtvnjqTJzOBTmlKSK7f/3tFZq9HWpfwwY96MhtZHYJKo4c0DMG8X2h06ObAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2a1025f320a17457c6ffd3707908576e5dd0585ef9265d81aa73c36d9916443","last_reissued_at":"2026-07-05T11:10:30.249409Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:30.249409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.08710","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":"2026-07-05T11:10:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BL6aauIEBzSvImy/A5Gcnq4sS9JkQPjQqMunBuqJfuuyKHf/LpkdTiyPR5Uhj/tR25MyqK+/pV8C9il59AovCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:27:12.660466Z"},"content_sha256":"cb8b2932c80a60d2ba9b9d998ed9f5b4eb16a3c01ec6176bb31cd4af17612ff3","schema_version":"1.0","event_id":"sha256:cb8b2932c80a60d2ba9b9d998ed9f5b4eb16a3c01ec6176bb31cd4af17612ff3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UKQQEXZSBILUK7DP7U3QPEEFO3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Sample Sharing for Multi Agent Linear Bandits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Hamza Cherkaoui, Igor Colin, Merwan Barlier","submitted_at":"2023-09-15T19:01:42Z","abstract_excerpt":"The multi-agent linear bandit setting is a well-known setting for which designing efficient collaboration between agents remains challenging. This paper studies the impact of data sharing among agents on regret minimization. Unlike most existing approaches, our contribution does not rely on any assumptions on the bandit parameters structure. Our main result formalizes the trade-off between the bias and uncertainty of the bandit parameter estimation for efficient collaboration. This result is the cornerstone of the Bandit Adaptive Sample Sharing (BASS) algorithm, whose efficiency over the curre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.08710","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/2309.08710/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":"2026-07-05T11:10:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Y1xXfDI16m4xOV3UAwRoTQ0OKbWjrxHrBjSSzJ7+XNeHibB6g8vll1ztC9X72oAhaHniT1JtxRxxYx+2KFZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:27:12.660965Z"},"content_sha256":"7a35047dc537e55d723dfd8b04851cf9ef1c045d45de282eb01cd10a23c6c81a","schema_version":"1.0","event_id":"sha256:7a35047dc537e55d723dfd8b04851cf9ef1c045d45de282eb01cd10a23c6c81a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UKQQEXZSBILUK7DP7U3QPEEFO3/bundle.json","state_url":"https://pith.science/pith/UKQQEXZSBILUK7DP7U3QPEEFO3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UKQQEXZSBILUK7DP7U3QPEEFO3/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":"2026-08-19T04:27:12Z","links":{"resolver":"https://pith.science/pith/UKQQEXZSBILUK7DP7U3QPEEFO3","bundle":"https://pith.science/pith/UKQQEXZSBILUK7DP7U3QPEEFO3/bundle.json","state":"https://pith.science/pith/UKQQEXZSBILUK7DP7U3QPEEFO3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UKQQEXZSBILUK7DP7U3QPEEFO3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UKQQEXZSBILUK7DP7U3QPEEFO3","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":"82559aabc9b56b2cabbced38761d8089ca03230fe9df97b3315404c52b378f82","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-15T19:01:42Z","title_canon_sha256":"a9fa40144e072e640b264df49b228e1b4114d2f6cc3d1db616e8dde59a803874"},"schema_version":"1.0","source":{"id":"2309.08710","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.08710","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"arxiv_version","alias_value":"2309.08710v3","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.08710","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"pith_short_12","alias_value":"UKQQEXZSBILU","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"pith_short_16","alias_value":"UKQQEXZSBILUK7DP","created_at":"2026-07-05T11:10:30Z"},{"alias_kind":"pith_short_8","alias_value":"UKQQEXZS","created_at":"2026-07-05T11:10:30Z"}],"graph_snapshots":[{"event_id":"sha256:7a35047dc537e55d723dfd8b04851cf9ef1c045d45de282eb01cd10a23c6c81a","target":"graph","created_at":"2026-07-05T11:10:30Z","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/2309.08710/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The multi-agent linear bandit setting is a well-known setting for which designing efficient collaboration between agents remains challenging. This paper studies the impact of data sharing among agents on regret minimization. Unlike most existing approaches, our contribution does not rely on any assumptions on the bandit parameters structure. Our main result formalizes the trade-off between the bias and uncertainty of the bandit parameter estimation for efficient collaboration. This result is the cornerstone of the Bandit Adaptive Sample Sharing (BASS) algorithm, whose efficiency over the curre","authors_text":"Hamza Cherkaoui, Igor Colin, Merwan Barlier","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-15T19:01:42Z","title":"Adaptive Sample Sharing for Multi Agent Linear Bandits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.08710","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:cb8b2932c80a60d2ba9b9d998ed9f5b4eb16a3c01ec6176bb31cd4af17612ff3","target":"record","created_at":"2026-07-05T11:10:30Z","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":"82559aabc9b56b2cabbced38761d8089ca03230fe9df97b3315404c52b378f82","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-15T19:01:42Z","title_canon_sha256":"a9fa40144e072e640b264df49b228e1b4114d2f6cc3d1db616e8dde59a803874"},"schema_version":"1.0","source":{"id":"2309.08710","kind":"arxiv","version":3}},"canonical_sha256":"a2a1025f320a17457c6ffd3707908576e5dd0585ef9265d81aa73c36d9916443","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2a1025f320a17457c6ffd3707908576e5dd0585ef9265d81aa73c36d9916443","first_computed_at":"2026-07-05T11:10:30.249409Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:30.249409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CDzChIgo9Ks2upFCZKXwJe6yOvPtvnjqTJzOBTmlKSK7f/3tFZq9HWpfwwY96MhtZHYJKo4c0DMG8X2h06ObAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:30.249880Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.08710","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb8b2932c80a60d2ba9b9d998ed9f5b4eb16a3c01ec6176bb31cd4af17612ff3","sha256:7a35047dc537e55d723dfd8b04851cf9ef1c045d45de282eb01cd10a23c6c81a"],"state_sha256":"6a39bb82b683aa7c92b80d7a57fb57a38097be9bae09bd792ec75c53aa6b552e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H8VPqgGFIqijhQ0fUFFfEt1kCDH2T7upng/2ae2nwn7fp48BxwBQ7Mu1qAFIEJHD+JmQD5XAEmymZI2LKlqBCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T04:27:12.665589Z","bundle_sha256":"7a62f69c787df564aea25100ab917ecce583b7629c38eb3610a29697d06463f3"}}