{"as_of":"2026-08-09T14:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b27ffd9518f0d256af9a047afd74eb0bf4129beea287df3b72a43fbb82c4383c","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T06:03:47.764742Z","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":"2026-07-04T12:29:52.357086Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2002.08774","last_updated":"2020-02-19T01:29:05Z","snapshot_observed_at":"2026-08-08T17:41:34.615102Z","submitted_at":"2020-02-19T01:29:05Z","title":"Propose, Test, Release: Differentially private estimation with high probability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08774","snapshot_observed_at":"2026-08-05T06:03:47.764742Z","title":"Propose, test, release: Differentially private estimation with high probability","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2509.04668","last_updated":"2025-09-04T21:30:44Z","snapshot_observed_at":"2026-08-09T11:28:14.653282Z","submitted_at":"2025-09-04T21:30:44Z","title":"Beyond Ordinary Lipschitz Constraints: Differentially Private Stochastic Optimization with Tsybakov Noise Condition","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T06:03:47.764742Z"},"links":{"cited_paper":"/paper/2002.08774","citing_paper":"/paper/2509.04668"},"observation_digest":"sha256:5dae64168996be66a4d95fa675a24cb366759aaacddbe19d68ee0c053f55447c","observation_id":"39b436ce-1d21-40e9-b24c-0fe69a302e8a","resolution":{"observed_at":"2026-08-05T06:03:47.764742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08774","last_updated":"2020-02-19T01:29:05Z","snapshot_observed_at":"2026-08-08T17:41:34.615102Z","submitted_at":"2020-02-19T01:29:05Z","title":"Propose, Test, Release: Differentially private estimation with high probability","version":1},"cited_work":{"arxiv_id":"2002.08774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.08774","snapshot_observed_at":"2026-07-04T12:29:52.357086Z","title":"arXiv preprint arXiv:2002.08774 , year=","venue":null,"work_id":"d64d26a4-e09c-4406-bf4f-9b51216e8d5b","year":2002},"citing_paper":{"arxiv_id":"2605.03264","last_updated":"2026-07-01T01:57:50Z","snapshot_observed_at":"2026-07-31T09:02:46.110181Z","submitted_at":"2026-05-05T01:31:56Z","title":"Efficient Propose-Test-Release for Optimal Differentially Private Estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-07T15:02:15.776563Z"},"links":{"cited_paper":"/paper/2002.08774","citing_paper":"/paper/2605.03264"},"observation_digest":"sha256:8f45e3b6069f3afa2eacac2d39c1a5d84872241e612eb7511eb46099285909a0","observation_id":"ac45116f-1fdd-451d-8748-99c939b6778d","resolution":{"observed_at":"2026-05-12T10:51:29.408806Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08774","last_updated":"2020-02-19T01:29:05Z","snapshot_observed_at":"2026-08-08T17:41:34.615102Z","submitted_at":"2020-02-19T01:29:05Z","title":"Propose, Test, Release: Differentially private estimation with high probability","version":1},"cited_work":{"arxiv_id":"2002.08774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.08774","snapshot_observed_at":"2026-07-04T12:29:52.357086Z","title":"arXiv preprint arXiv:2002.08774 , year=","venue":null,"work_id":"d64d26a4-e09c-4406-bf4f-9b51216e8d5b","year":2002},"citing_paper":{"arxiv_id":"2605.03264","last_updated":"2026-07-01T01:57:50Z","snapshot_observed_at":"2026-07-31T09:02:46.110181Z","submitted_at":"2026-05-05T01:31:56Z","title":"Efficient Propose-Test-Release for Optimal Differentially Private Estimation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-03T00:12:58.682294Z"},"links":{"cited_paper":"/paper/2002.08774","citing_paper":"/paper/2605.03264"},"observation_digest":"sha256:5fa842493de52b81a9dd341e7e5855f4cb7a75f3a01e7810c029194572507ac7","observation_id":"a198dda2-7ff7-4b53-bd5d-f7f46b0c3cb4","resolution":{"observed_at":"2026-07-03T00:17:28.477635Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08774","last_updated":"2020-02-19T01:29:05Z","snapshot_observed_at":"2026-08-08T17:41:34.615102Z","submitted_at":"2020-02-19T01:29:05Z","title":"Propose, Test, Release: Differentially private estimation with high probability","version":1},"cited_work":{"arxiv_id":"2002.08774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.08774","snapshot_observed_at":"2026-07-04T12:29:52.357086Z","title":"arXiv preprint arXiv:2002.08774 , year=","venue":null,"work_id":"d64d26a4-e09c-4406-bf4f-9b51216e8d5b","year":2002},"citing_paper":{"arxiv_id":"2605.04317","last_updated":"2026-05-16T16:42:17Z","snapshot_observed_at":"2026-07-06T23:17:09.246351Z","submitted_at":"2026-05-05T21:36:45Z","title":"The Threshold Breakdown Point","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-08T16:52:35.205640Z"},"links":{"cited_paper":"/paper/2002.08774","citing_paper":"/paper/2605.04317"},"observation_digest":"sha256:be60e5d60ae616f7366d76a65afbabac8be567f71b1a610045c5c91c2d242d7f","observation_id":"4542bab9-1e1a-48e9-97c2-df4f8b3931c3","resolution":{"observed_at":"2026-05-11T17:56:08.684993Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08774","last_updated":"2020-02-19T01:29:05Z","snapshot_observed_at":"2026-08-08T17:41:34.615102Z","submitted_at":"2020-02-19T01:29:05Z","title":"Propose, Test, Release: Differentially private estimation with high probability","version":1},"cited_work":{"arxiv_id":"2002.08774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.08774","snapshot_observed_at":"2026-07-04T12:29:52.357086Z","title":"arXiv preprint arXiv:2002.08774 , year=","venue":null,"work_id":"d64d26a4-e09c-4406-bf4f-9b51216e8d5b","year":2002},"citing_paper":{"arxiv_id":"2605.04317","last_updated":"2026-05-16T16:42:17Z","snapshot_observed_at":"2026-07-06T23:17:09.246351Z","submitted_at":"2026-05-05T21:36:45Z","title":"The Threshold Breakdown Point","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-20T23:52:05.271119Z"},"links":{"cited_paper":"/paper/2002.08774","citing_paper":"/paper/2605.04317"},"observation_digest":"sha256:39d85e7b12727ee80a429d3b0aa0ea767a7d5c55970354647c75da5246165c80","observation_id":"f2cb4d84-fadc-49c3-92a5-cca69d742b28","resolution":{"observed_at":"2026-05-20T23:53:51.566006Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08774","last_updated":"2020-02-19T01:29:05Z","snapshot_observed_at":"2026-08-08T17:41:34.615102Z","submitted_at":"2020-02-19T01:29:05Z","title":"Propose, Test, Release: Differentially private estimation with high probability","version":1},"cited_work":{"arxiv_id":"2002.08774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.08774","snapshot_observed_at":"2026-07-04T12:29:52.357086Z","title":"arXiv preprint arXiv:2002.08774 , year=","venue":null,"work_id":"d64d26a4-e09c-4406-bf4f-9b51216e8d5b","year":2002},"citing_paper":{"arxiv_id":"2606.26145","last_updated":"2026-06-22T07:50:15Z","snapshot_observed_at":"2026-08-06T19:58:50.596212Z","submitted_at":"2026-06-22T07:50:15Z","title":"NetPTR: Optimal Differentially Private Spectral Community Detection on Sparse Networks","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-26T06:38:24.615620Z"},"links":{"cited_paper":"/paper/2002.08774","citing_paper":"/paper/2606.26145"},"observation_digest":"sha256:27ecfce2ae6ddfa211abf9d6d06de5a8ee4c1391e63d4b5ebe7ece587784f9de","observation_id":"442cc7f7-a619-4621-bde7-286d7d188d67","resolution":{"observed_at":"2026-07-04T12:29:52.358462Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2002.08774/citation-record","integrity":"/paper/2002.08774/integrity","json":"/paper/2002.08774/citation-record.json","paper":"/paper/2002.08774"},"outbound":[],"paper":{"arxiv_id":"2002.08774","last_updated":"2020-02-19T01:29:05Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-08T17:41:34.615102Z","submitted_at":"2020-02-19T01:29:05Z","title":"Propose, Test, Release: Differentially private estimation with high probability"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.08774."}