{"as_of":"2026-08-08T15:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b0178fd066310d97c19150d14b399cfcd7e0d087491e6ff9bde1de64da77ad1f","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:57:48.414931Z","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":"2026-05-20T07:18:06.942163Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.07367","last_updated":"2023-10-11T10:34:52Z","snapshot_observed_at":"2026-07-06T16:31:08.082416Z","submitted_at":"2023-10-11T10:34:52Z","title":"Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07367","snapshot_observed_at":"2026-08-07T05:57:48.414931Z","title":"arXiv preprint arXiv:2310.07367 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06861","last_updated":"2025-06-07T16:56:20Z","snapshot_observed_at":"2026-08-08T02:12:53.352282Z","submitted_at":"2025-06-07T16:56:20Z","title":"Differentially Private Sparse Linear Regression with Heavy-tailed Responses","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:57:48.414931Z"},"links":{"cited_paper":"/paper/2310.07367","citing_paper":"/paper/2506.06861"},"observation_digest":"sha256:51e75495eb49c5cb419b0125b5b5b83f5ff2eb145bf5b4735db434d29d383246","observation_id":"53094daa-6049-4818-8671-f3dfa76b754c","resolution":{"observed_at":"2026-08-07T05:57:48.414931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07367","last_updated":"2023-10-11T10:34:52Z","snapshot_observed_at":"2026-07-06T16:31:08.082416Z","submitted_at":"2023-10-11T10:34:52Z","title":"Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model","version":1},"cited_work":{"arxiv_id":"2310.07367","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.07367","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model, October 2023","venue":null,"work_id":"b2b2b4a4-6d6a-495d-a30f-de2be69edfaf","year":2023},"citing_paper":{"arxiv_id":"2605.19813","last_updated":"2026-07-08T09:10:31Z","snapshot_observed_at":"2026-07-12T16:29:27.707351Z","submitted_at":"2026-05-19T13:09:58Z","title":"A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-20T07:15:29.444050Z"},"links":{"cited_paper":"/paper/2310.07367","citing_paper":"/paper/2605.19813"},"observation_digest":"sha256:ca8c346243e1e6766294f339fb493aeafcf28d7b5f668451f6dd64ef86685024","observation_id":"f84cd2e6-36dc-40d0-b11b-2001c8b39e8d","resolution":{"observed_at":"2026-05-20T07:18:06.943848Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07367","last_updated":"2023-10-11T10:34:52Z","snapshot_observed_at":"2026-07-06T16:31:08.082416Z","submitted_at":"2023-10-11T10:34:52Z","title":"Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07367","snapshot_observed_at":"2026-07-12T16:29:28.243675Z","title":"Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model, October 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.19813","last_updated":"2026-07-08T09:10:31Z","snapshot_observed_at":"2026-07-12T16:29:27.707351Z","submitted_at":"2026-05-19T13:09:58Z","title":"A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-12T16:29:28.243675Z"},"links":{"cited_paper":"/paper/2310.07367","citing_paper":"/paper/2605.19813"},"observation_digest":"sha256:ee152dce69177abce41309f39862b31eeba999f6fc101405de6f7036c580d28c","observation_id":"dbb2f341-ef90-4fe4-a920-4dd9951cbbb3","resolution":{"observed_at":"2026-07-12T16:29:28.243675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.07367/citation-record","integrity":"/paper/2310.07367/integrity","json":"/paper/2310.07367/citation-record.json","paper":"/paper/2310.07367"},"outbound":[],"paper":{"arxiv_id":"2310.07367","last_updated":"2023-10-11T10:34:52Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:31:08.082416Z","submitted_at":"2023-10-11T10:34:52Z","title":"Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.07367."}