{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VQDJJFBBRLUCXUXQBHYEBUQMK7","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":"a7ff17cc786273678a0871907e2532b8a0d975888954528f231de7d5aa3475d7","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-15T03:34:42Z","title_canon_sha256":"3bfb9568874f272beb568f90575e337afb2279b0c88cd302bc64696ffa18cbd9"},"schema_version":"1.0","source":{"id":"2305.08328","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08328","created_at":"2026-07-05T06:10:00Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08328v1","created_at":"2026-07-05T06:10:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08328","created_at":"2026-07-05T06:10:00Z"},{"alias_kind":"pith_short_12","alias_value":"VQDJJFBBRLUC","created_at":"2026-07-05T06:10:00Z"},{"alias_kind":"pith_short_16","alias_value":"VQDJJFBBRLUCXUXQ","created_at":"2026-07-05T06:10:00Z"},{"alias_kind":"pith_short_8","alias_value":"VQDJJFBB","created_at":"2026-07-05T06:10:00Z"}],"graph_snapshots":[{"event_id":"sha256:795582598f67b2da9ef5c683466f1c5663f63e68b8d2fe7ce3d3b3e4f2060f51","target":"graph","created_at":"2026-07-05T06:10:00Z","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/2305.08328/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conversion rate (CVR) estimation aims to predict the probability of conversion event after a user has clicked an ad. Typically, online publisher has user browsing interests and click feedbacks, while demand-side advertising platform collects users' post-click behaviors such as dwell time and conversion decisions. To estimate CVR accurately and protect data privacy better, vertical federated learning (vFL) is a natural solution to combine two sides' advantages for training models, without exchanging raw data. Both CVR estimation and applied vFL algorithms have attracted increasing research atte","authors_text":"Bo Zheng, Hongjian Dou, Liang Wang, Li Liu, Penghui Wei, Rongjun Tang, Shaoguo Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-15T03:34:42Z","title":"FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08328","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":"sha256:4be75a8a23701b87e5d3266452b489e5f0c638e96b7f011e18a93b3910cc4c05","target":"record","created_at":"2026-07-05T06:10:00Z","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":"a7ff17cc786273678a0871907e2532b8a0d975888954528f231de7d5aa3475d7","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-05-15T03:34:42Z","title_canon_sha256":"3bfb9568874f272beb568f90575e337afb2279b0c88cd302bc64696ffa18cbd9"},"schema_version":"1.0","source":{"id":"2305.08328","kind":"arxiv","version":1}},"canonical_sha256":"ac069494218ae82bd2f009f040d20c57f2d3ddde3ad0156a4427c2fb4ae600a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac069494218ae82bd2f009f040d20c57f2d3ddde3ad0156a4427c2fb4ae600a7","first_computed_at":"2026-07-05T06:10:00.218565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:10:00.218565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PiM0phfpfsY1I/EsiAgJWXVtb0HdrXjtEQH6QQ4ZBUmSUBQoLmtgDOkY+HSbTxADEaNA7QeSgcju/TUKyMjVDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:10:00.219100Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.08328","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4be75a8a23701b87e5d3266452b489e5f0c638e96b7f011e18a93b3910cc4c05","sha256:795582598f67b2da9ef5c683466f1c5663f63e68b8d2fe7ce3d3b3e4f2060f51"],"state_sha256":"a472adfe977d76dcff65ee6003c3204034f55b1dfb5e7bf666be338fc5f1ad90"}