{"as_of":"2026-08-07T23:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:921c133f3e34e01ee34422cf28ed7d3d6c545dac2030b7dd764d73a9c0654252","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:28:18.416985Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-12T08:31:23.602696Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.11742","last_updated":"2020-02-08T23:45:05Z","snapshot_observed_at":"2026-08-05T15:46:22.307756Z","submitted_at":"2019-05-28T11:16:02Z","title":"Overlearning Reveals Sensitive Attributes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.11742","snapshot_observed_at":"2026-08-07T13:28:18.416985Z","title":"Overlearning reveals sensitive attributes,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2505.21792","last_updated":"2025-05-27T21:47:20Z","snapshot_observed_at":"2026-08-07T13:20:41.267300Z","submitted_at":"2025-05-27T21:47:20Z","title":"Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T13:28:18.416985Z"},"links":{"cited_paper":"/paper/1905.11742","citing_paper":"/paper/2505.21792"},"observation_digest":"sha256:d101b4ae5d92bbf835e466c20da1a789c8d3bc1bdfbde5f60bdf24e33060ef8d","observation_id":"266116be-28df-4288-879b-33d3458e7273","resolution":{"observed_at":"2026-08-07T13:28:18.416985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.11742","last_updated":"2020-02-08T23:45:05Z","snapshot_observed_at":"2026-08-05T15:46:22.307756Z","submitted_at":"2019-05-28T11:16:02Z","title":"Overlearning Reveals Sensitive Attributes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.11742","snapshot_observed_at":"2026-08-06T22:01:22.699214Z","title":"Overlearning reveals sensitive attributes.arXiv preprint arXiv:1905.11742, 2019","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2506.22787","last_updated":"2025-06-28T07:00:37Z","snapshot_observed_at":"2026-08-07T07:37:03.270297Z","submitted_at":"2025-06-28T07:00:37Z","title":"What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T22:01:22.699214Z"},"links":{"cited_paper":"/paper/1905.11742","citing_paper":"/paper/2506.22787"},"observation_digest":"sha256:7a2c532a879a19cb3aa4ad0a71eef51b733197b0549e5ea6db698c660af39843","observation_id":"9917fa39-6100-495c-90eb-a2f6874294f7","resolution":{"observed_at":"2026-08-06T22:01:22.699214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.11742","last_updated":"2020-02-08T23:45:05Z","snapshot_observed_at":"2026-08-05T15:46:22.307756Z","submitted_at":"2019-05-28T11:16:02Z","title":"Overlearning Reveals Sensitive Attributes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.11742","snapshot_observed_at":"2026-08-06T21:50:28.898466Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.23296","last_updated":"2025-06-29T15:32:03Z","snapshot_observed_at":"2026-08-07T21:22:15.440551Z","submitted_at":"2025-06-29T15:32:03Z","title":"Securing AI Systems: A Guide to Known Attacks and Impacts","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T21:50:28.898466Z"},"links":{"cited_paper":"/paper/1905.11742","citing_paper":"/paper/2506.23296"},"observation_digest":"sha256:ff65247badc45fac5f6200a920237812284ffa4d649bbdd54585c271e64fc8db","observation_id":"bb4afa71-3f1b-4554-9ad8-c1648f3c91a0","resolution":{"observed_at":"2026-08-06T21:50:28.898466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.11742","last_updated":"2020-02-08T23:45:05Z","snapshot_observed_at":"2026-08-05T15:46:22.307756Z","submitted_at":"2019-05-28T11:16:02Z","title":"Overlearning Reveals Sensitive Attributes","version":3},"cited_work":{"arxiv_id":"1905.11742","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.11742","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Overlearning reveals sensitive attributes","venue":null,"work_id":"935f74c7-aafe-4ad8-adae-7bc724eaea5e","year":1905},"citing_paper":{"arxiv_id":"2605.01204","last_updated":"2026-05-02T02:43:42Z","snapshot_observed_at":"2026-08-03T06:42:12.926348Z","submitted_at":"2026-05-02T02:43:42Z","title":"FLRSP: Privacy-Preserving Federated Learning Using Randomly Selected Model Parameters","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-09T14:56:09.933026Z"},"links":{"cited_paper":"/paper/1905.11742","citing_paper":"/paper/2605.01204"},"observation_digest":"sha256:c86988f9ff359bf0ff478e39222a115a878b1083ae6c00d32a0021171c987550","observation_id":"7b46d55a-43e8-41db-8503-0d6093e0cbec","resolution":{"observed_at":"2026-05-11T16:51:05.452963Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.11742","last_updated":"2020-02-08T23:45:05Z","snapshot_observed_at":"2026-08-05T15:46:22.307756Z","submitted_at":"2019-05-28T11:16:02Z","title":"Overlearning Reveals Sensitive Attributes","version":3},"cited_work":{"arxiv_id":"1905.11742","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.11742","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Overlearning reveals sensitive attributes","venue":null,"work_id":"935f74c7-aafe-4ad8-adae-7bc724eaea5e","year":1905},"citing_paper":{"arxiv_id":"2605.08343","last_updated":"2026-05-08T18:00:13Z","snapshot_observed_at":"2026-08-02T10:51:13.233569Z","submitted_at":"2026-05-08T18:00:13Z","title":"Private Vertical Federated Inference for Time-Series","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-12T01:06:52.078378Z"},"links":{"cited_paper":"/paper/1905.11742","citing_paper":"/paper/2605.08343"},"observation_digest":"sha256:037fcdbd649bdce811f8aa78a8c0fe70e2664663d3383c1bf3aed12ea2c58834","observation_id":"15dda76d-8438-4652-b325-d1880999d4e6","resolution":{"observed_at":"2026-05-12T08:31:23.606860Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1905.11742/citation-record","integrity":"/paper/1905.11742/integrity","json":"/paper/1905.11742/citation-record.json","paper":"/paper/1905.11742"},"outbound":[],"paper":{"arxiv_id":"1905.11742","last_updated":"2020-02-08T23:45:05Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T15:46:22.307756Z","submitted_at":"2019-05-28T11:16:02Z","title":"Overlearning Reveals Sensitive Attributes"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1905.11742."}