{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WFEF2G2WKC5SXK3R2UBNTCZG2R","short_pith_number":"pith:WFEF2G2W","canonical_record":{"source":{"id":"2306.14834","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-06-26T16:39:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ab2a2c07ee3c70d0a33a6029260d85eb532f85ee3cb087806dd9ac1b0249f11c","abstract_canon_sha256":"7cd1d628bfd0741ac9bfff70f2da99e0863db3bf292c0378ec18d5c9d9bc72d9"},"schema_version":"1.0"},"canonical_sha256":"b1485d1b5650bb2bab71d502d98b26d47ac5e30e7fe18dcfc0280ae9d846a26f","source":{"kind":"arxiv","id":"2306.14834","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.14834","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"arxiv_version","alias_value":"2306.14834v3","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14834","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"pith_short_12","alias_value":"WFEF2G2WKC5S","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"pith_short_16","alias_value":"WFEF2G2WKC5SXK3R","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"pith_short_8","alias_value":"WFEF2G2W","created_at":"2026-07-05T06:42:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WFEF2G2WKC5SXK3R2UBNTCZG2R","target":"record","payload":{"canonical_record":{"source":{"id":"2306.14834","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-06-26T16:39:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ab2a2c07ee3c70d0a33a6029260d85eb532f85ee3cb087806dd9ac1b0249f11c","abstract_canon_sha256":"7cd1d628bfd0741ac9bfff70f2da99e0863db3bf292c0378ec18d5c9d9bc72d9"},"schema_version":"1.0"},"canonical_sha256":"b1485d1b5650bb2bab71d502d98b26d47ac5e30e7fe18dcfc0280ae9d846a26f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:44.190397Z","signature_b64":"CvmHfeiMlMEkE+3MQaBFoEkvqkylBicp2rc4fL3FjpqPVMT/+dAgGIqyOGi7TUaTWyxIEIHl6df+28HN8tghDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1485d1b5650bb2bab71d502d98b26d47ac5e30e7fe18dcfc0280ae9d846a26f","last_reissued_at":"2026-07-05T06:42:44.189932Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:44.189932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.14834","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":"2026-07-05T06:42:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2my6MD+fWWIk7hCADpFt8u2HVnSPwtnkmkJg2PkAl23eZMqpGIwmm4kHuLkXjhi/MHAPWgBaUAgHRwJYKDxSDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:03:59.203222Z"},"content_sha256":"7d3eca959c7dea9a3f65e8164a7962c49d11391330a90efaf73b5d4199905b2d","schema_version":"1.0","event_id":"sha256:7d3eca959c7dea9a3f65e8164a7962c49d11391330a90efaf73b5d4199905b2d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WFEF2G2WKC5SXK3R2UBNTCZG2R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scalable Neural Contextual Bandit for Recommender Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Benjamin Van Roy, Zheqing Zhu","submitted_at":"2023-06-26T16:39:39Z","abstract_excerpt":"High-quality recommender systems ought to deliver both innovative and relevant content through effective and exploratory interactions with users. Yet, supervised learning-based neural networks, which form the backbone of many existing recommender systems, only leverage recognized user interests, falling short when it comes to efficiently uncovering unknown user preferences. While there has been some progress with neural contextual bandit algorithms towards enabling online exploration through neural networks, their onerous computational demands hinder widespread adoption in real-world recommend"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14834","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/2306.14834/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":"2026-07-05T06:42:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1JyI5YcgibEdPGmUfaU3MSu+/1uyjHOuUIzIoc//FU0Cx79qTKASP24WCrnxQZxEhkVugiQFq3+T5a1k0b3VCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:03:59.203700Z"},"content_sha256":"72cd6a206f1e106edf240d1636d1a59df1ce64da035a0a8b102a81f3d55ecfb7","schema_version":"1.0","event_id":"sha256:72cd6a206f1e106edf240d1636d1a59df1ce64da035a0a8b102a81f3d55ecfb7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WFEF2G2WKC5SXK3R2UBNTCZG2R/bundle.json","state_url":"https://pith.science/pith/WFEF2G2WKC5SXK3R2UBNTCZG2R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WFEF2G2WKC5SXK3R2UBNTCZG2R/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":"2026-08-15T11:03:59Z","links":{"resolver":"https://pith.science/pith/WFEF2G2WKC5SXK3R2UBNTCZG2R","bundle":"https://pith.science/pith/WFEF2G2WKC5SXK3R2UBNTCZG2R/bundle.json","state":"https://pith.science/pith/WFEF2G2WKC5SXK3R2UBNTCZG2R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WFEF2G2WKC5SXK3R2UBNTCZG2R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WFEF2G2WKC5SXK3R2UBNTCZG2R","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":"7cd1d628bfd0741ac9bfff70f2da99e0863db3bf292c0378ec18d5c9d9bc72d9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-06-26T16:39:39Z","title_canon_sha256":"ab2a2c07ee3c70d0a33a6029260d85eb532f85ee3cb087806dd9ac1b0249f11c"},"schema_version":"1.0","source":{"id":"2306.14834","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.14834","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"arxiv_version","alias_value":"2306.14834v3","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14834","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"pith_short_12","alias_value":"WFEF2G2WKC5S","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"pith_short_16","alias_value":"WFEF2G2WKC5SXK3R","created_at":"2026-07-05T06:42:44Z"},{"alias_kind":"pith_short_8","alias_value":"WFEF2G2W","created_at":"2026-07-05T06:42:44Z"}],"graph_snapshots":[{"event_id":"sha256:72cd6a206f1e106edf240d1636d1a59df1ce64da035a0a8b102a81f3d55ecfb7","target":"graph","created_at":"2026-07-05T06:42:44Z","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/2306.14834/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-quality recommender systems ought to deliver both innovative and relevant content through effective and exploratory interactions with users. Yet, supervised learning-based neural networks, which form the backbone of many existing recommender systems, only leverage recognized user interests, falling short when it comes to efficiently uncovering unknown user preferences. While there has been some progress with neural contextual bandit algorithms towards enabling online exploration through neural networks, their onerous computational demands hinder widespread adoption in real-world recommend","authors_text":"Benjamin Van Roy, Zheqing Zhu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-06-26T16:39:39Z","title":"Scalable Neural Contextual Bandit for Recommender Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14834","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":"sha256:7d3eca959c7dea9a3f65e8164a7962c49d11391330a90efaf73b5d4199905b2d","target":"record","created_at":"2026-07-05T06:42:44Z","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":"7cd1d628bfd0741ac9bfff70f2da99e0863db3bf292c0378ec18d5c9d9bc72d9","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-06-26T16:39:39Z","title_canon_sha256":"ab2a2c07ee3c70d0a33a6029260d85eb532f85ee3cb087806dd9ac1b0249f11c"},"schema_version":"1.0","source":{"id":"2306.14834","kind":"arxiv","version":3}},"canonical_sha256":"b1485d1b5650bb2bab71d502d98b26d47ac5e30e7fe18dcfc0280ae9d846a26f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1485d1b5650bb2bab71d502d98b26d47ac5e30e7fe18dcfc0280ae9d846a26f","first_computed_at":"2026-07-05T06:42:44.189932Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:42:44.189932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CvmHfeiMlMEkE+3MQaBFoEkvqkylBicp2rc4fL3FjpqPVMT/+dAgGIqyOGi7TUaTWyxIEIHl6df+28HN8tghDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:42:44.190397Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.14834","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d3eca959c7dea9a3f65e8164a7962c49d11391330a90efaf73b5d4199905b2d","sha256:72cd6a206f1e106edf240d1636d1a59df1ce64da035a0a8b102a81f3d55ecfb7"],"state_sha256":"1254cc092ce065bd5b49168dfa5d81fcb80b43389c08a44f635e31c163022a5e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uKj7FQsbqPUHuQSq+4mgupywEfikoyz0sMz+ZvPaV6wLJL0BpKZjXSrEyzhPnKTNiu+9ASJ3lz3yrh+4fx6ICg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T11:03:59.206875Z","bundle_sha256":"d68867d90ee938d66c5251498aaf5416b419a4bc7956a4d9097bf3a8c278ab50"}}