{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:NB52JLPZSPTRQ2WRHYO4GXJYKL","short_pith_number":"pith:NB52JLPZ","canonical_record":{"source":{"id":"1802.05693","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-15T18:22:06Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"bd0e0927b9cb9d904721e1f0b60029abba446c8165e91821b3acdb98d774545c","abstract_canon_sha256":"5e255268a07f2dbfc0056c47cc5bbe86dd9527b44f399f3695a848accce0fa4f"},"schema_version":"1.0"},"canonical_sha256":"687ba4adf993e7186ad13e1dc35d3852fe4e89a6328a972287c5a54b69f4af88","source":{"kind":"arxiv","id":"1802.05693","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.05693","created_at":"2026-05-17T23:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"1802.05693v5","created_at":"2026-05-17T23:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.05693","created_at":"2026-05-17T23:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"NB52JLPZSPTR","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NB52JLPZSPTRQ2WR","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NB52JLPZ","created_at":"2026-05-18T12:32:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:NB52JLPZSPTRQ2WRHYO4GXJYKL","target":"record","payload":{"canonical_record":{"source":{"id":"1802.05693","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-15T18:22:06Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"bd0e0927b9cb9d904721e1f0b60029abba446c8165e91821b3acdb98d774545c","abstract_canon_sha256":"5e255268a07f2dbfc0056c47cc5bbe86dd9527b44f399f3695a848accce0fa4f"},"schema_version":"1.0"},"canonical_sha256":"687ba4adf993e7186ad13e1dc35d3852fe4e89a6328a972287c5a54b69f4af88","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:54.756756Z","signature_b64":"fuCunP5N7zTdQ3jjXuaUclxf8q4q6CilVrItdK2xnh3NotHiKNtjxiqMTHx8bRd2ZtZiNVpSL3hSK7ben/KYDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"687ba4adf993e7186ad13e1dc35d3852fe4e89a6328a972287c5a54b69f4af88","last_reissued_at":"2026-05-17T23:51:54.756287Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:54.756287Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.05693","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fbNukG5jYIfIcuwgpg/v06tM99tvXcNIvI/g61/VnCIPNuRnI3rj7Dp2zQ1Qe9hACYj4U7xnYcLJszgDN9adDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T19:52:16.139238Z"},"content_sha256":"eec13f082f9a5d7fb366a39d713904e14c95e71bf651a2e926df0b1ff3b8c02f","schema_version":"1.0","event_id":"sha256:eec13f082f9a5d7fb366a39d713904e14c95e71bf651a2e926df0b1ff3b8c02f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:NB52JLPZSPTRQ2WRHYO4GXJYKL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bandit Learning with Positive Externalities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jose Blanchet, Ramesh Johari, Virag Shah","submitted_at":"2018-02-15T18:22:06Z","abstract_excerpt":"In many platforms, user arrivals exhibit a self-reinforcing behavior: future user arrivals are likely to have preferences similar to users who were satisfied in the past. In other words, arrivals exhibit positive externalities. We study multiarmed bandit (MAB) problems with positive externalities. We show that the self-reinforcing preferences may lead standard benchmark algorithms such as UCB to exhibit linear regret. We develop a new algorithm, Balanced Exploration (BE), which explores arms carefully to avoid suboptimal convergence of arrivals before sufficient evidence is gathered. We also i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.05693","kind":"arxiv","version":5},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b5vwWqONmpavyxT2Zbd/lLZmQv7SroloY/uWACUNBKbbkn6D2Q/z73Uhx4fDvPn86hXr/HgKNTTjgbUFlI9hCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T19:52:16.140062Z"},"content_sha256":"eafef6980cad1b1996c8138be7e5877801821ee499a3086dc7d57bb1a89fe03e","schema_version":"1.0","event_id":"sha256:eafef6980cad1b1996c8138be7e5877801821ee499a3086dc7d57bb1a89fe03e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NB52JLPZSPTRQ2WRHYO4GXJYKL/bundle.json","state_url":"https://pith.science/pith/NB52JLPZSPTRQ2WRHYO4GXJYKL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NB52JLPZSPTRQ2WRHYO4GXJYKL/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":"2026-06-11T19:52:16Z","links":{"resolver":"https://pith.science/pith/NB52JLPZSPTRQ2WRHYO4GXJYKL","bundle":"https://pith.science/pith/NB52JLPZSPTRQ2WRHYO4GXJYKL/bundle.json","state":"https://pith.science/pith/NB52JLPZSPTRQ2WRHYO4GXJYKL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NB52JLPZSPTRQ2WRHYO4GXJYKL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NB52JLPZSPTRQ2WRHYO4GXJYKL","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":"5e255268a07f2dbfc0056c47cc5bbe86dd9527b44f399f3695a848accce0fa4f","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-15T18:22:06Z","title_canon_sha256":"bd0e0927b9cb9d904721e1f0b60029abba446c8165e91821b3acdb98d774545c"},"schema_version":"1.0","source":{"id":"1802.05693","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.05693","created_at":"2026-05-17T23:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"1802.05693v5","created_at":"2026-05-17T23:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.05693","created_at":"2026-05-17T23:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"NB52JLPZSPTR","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NB52JLPZSPTRQ2WR","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NB52JLPZ","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:eafef6980cad1b1996c8138be7e5877801821ee499a3086dc7d57bb1a89fe03e","target":"graph","created_at":"2026-05-17T23:51:54Z","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"},"paper":{"abstract_excerpt":"In many platforms, user arrivals exhibit a self-reinforcing behavior: future user arrivals are likely to have preferences similar to users who were satisfied in the past. In other words, arrivals exhibit positive externalities. We study multiarmed bandit (MAB) problems with positive externalities. We show that the self-reinforcing preferences may lead standard benchmark algorithms such as UCB to exhibit linear regret. We develop a new algorithm, Balanced Exploration (BE), which explores arms carefully to avoid suboptimal convergence of arrivals before sufficient evidence is gathered. We also i","authors_text":"Jose Blanchet, Ramesh Johari, Virag Shah","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-15T18:22:06Z","title":"Bandit Learning with Positive Externalities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.05693","kind":"arxiv","version":5},"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:eec13f082f9a5d7fb366a39d713904e14c95e71bf651a2e926df0b1ff3b8c02f","target":"record","created_at":"2026-05-17T23:51:54Z","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":"5e255268a07f2dbfc0056c47cc5bbe86dd9527b44f399f3695a848accce0fa4f","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-15T18:22:06Z","title_canon_sha256":"bd0e0927b9cb9d904721e1f0b60029abba446c8165e91821b3acdb98d774545c"},"schema_version":"1.0","source":{"id":"1802.05693","kind":"arxiv","version":5}},"canonical_sha256":"687ba4adf993e7186ad13e1dc35d3852fe4e89a6328a972287c5a54b69f4af88","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"687ba4adf993e7186ad13e1dc35d3852fe4e89a6328a972287c5a54b69f4af88","first_computed_at":"2026-05-17T23:51:54.756287Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:54.756287Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fuCunP5N7zTdQ3jjXuaUclxf8q4q6CilVrItdK2xnh3NotHiKNtjxiqMTHx8bRd2ZtZiNVpSL3hSK7ben/KYDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:54.756756Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.05693","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eec13f082f9a5d7fb366a39d713904e14c95e71bf651a2e926df0b1ff3b8c02f","sha256:eafef6980cad1b1996c8138be7e5877801821ee499a3086dc7d57bb1a89fe03e"],"state_sha256":"360ec00a27681e98fc41048753ad655b97a4ee4a7f11f4834b2a409195dcdea2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z2/c6XNBslCQN0lKLWdUQSxO0JFX5zxzyOMu18PKl4DFGCw7HW7tqX8aBsD0FmkvVvGxVrZSFPZbNpL9Omz9CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T19:52:16.143832Z","bundle_sha256":"c6c67ba6aaf100ba9df7c3f56e7c20fa15daa40b720c3bc9acb9e944b764a91b"}}