{"as_of":"2026-08-05T11:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:13a275f40c22edc143825511773860d2343161097693c8c0623a2d77cf47e263","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T08:35:36.928378Z","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":"2026-06-29T08:43:15.817098Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.10595","last_updated":"2020-12-09T18:56:31Z","snapshot_observed_at":"2026-08-04T23:44:39.428343Z","submitted_at":"2020-03-24T00:53:53Z","title":"Systematic Evaluation of Privacy Risks of Machine Learning Models","version":2},"cited_work":{"arxiv_id":"2003.10595","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.10595","snapshot_observed_at":"2026-06-29T08:43:15.817098Z","title":"arXiv preprint arXiv:2003.10595 , year=","venue":null,"work_id":"faa1bf07-c918-4563-9a20-fba0a5842ff8","year":2020},"citing_paper":{"arxiv_id":"2310.12508","last_updated":"2024-04-04T07:45:38Z","snapshot_observed_at":"2026-08-03T17:30:25.153454Z","submitted_at":"2023-10-19T06:17:17Z","title":"SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation","version":5},"reference_index":123,"source":"arxiv_source","source_observed_at":"2026-05-16T17:56:23.281678Z"},"links":{"cited_paper":"/paper/2003.10595","citing_paper":"/paper/2310.12508"},"observation_digest":"sha256:6553fde314b934b5bc111f87c9dc071714c05a2782e95b036a1820fbf5337c83","observation_id":"3ba87c5c-682a-417c-afef-5d72fa471c8d","resolution":{"observed_at":"2026-05-16T17:56:23.536274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.10595","last_updated":"2020-12-09T18:56:31Z","snapshot_observed_at":"2026-08-04T23:44:39.428343Z","submitted_at":"2020-03-24T00:53:53Z","title":"Systematic Evaluation of Privacy Risks of Machine Learning Models","version":2},"cited_work":{"arxiv_id":"2003.10595","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.10595","snapshot_observed_at":"2026-06-29T08:43:15.817098Z","title":"arXiv preprint arXiv:2003.10595 , year=","venue":null,"work_id":"faa1bf07-c918-4563-9a20-fba0a5842ff8","year":2020},"citing_paper":{"arxiv_id":"2605.30462","last_updated":"2026-05-28T18:38:15Z","snapshot_observed_at":"2026-07-06T23:39:43.967889Z","submitted_at":"2026-05-28T18:38:15Z","title":"idSCD: Identifying Training Datasets through Semantic Correlation Descriptors","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-06-29T08:35:36.928378Z"},"links":{"cited_paper":"/paper/2003.10595","citing_paper":"/paper/2605.30462"},"observation_digest":"sha256:0df97ff992b24027aa7a5851a74749a0d1ee47b6a9675608d224e0abc2ae3145","observation_id":"d645d2b3-910f-4b90-a9af-389888abfd01","resolution":{"observed_at":"2026-06-29T08:43:15.818870Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2003.10595/citation-record","integrity":"/paper/2003.10595/integrity","json":"/paper/2003.10595/citation-record.json","paper":"/paper/2003.10595"},"outbound":[],"paper":{"arxiv_id":"2003.10595","last_updated":"2020-12-09T18:56:31Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-04T23:44:39.428343Z","submitted_at":"2020-03-24T00:53:53Z","title":"Systematic Evaluation of Privacy Risks of Machine Learning Models"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.10595."}