{"as_of":"2026-08-08T11:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2318bb61a6d9fdf2c28fb693b7c5b2884274d1f2863f2df70259489620837abb","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T23:49:39.134567Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.13127","last_updated":"2026-06-22T20:41:23Z","snapshot_observed_at":"2026-07-06T15:58:04.621609Z","submitted_at":"2023-07-24T21:03:25Z","title":"A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.13127","snapshot_observed_at":"2026-08-02T23:49:39.134567Z","title":"R., BRINKMAN, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.12604","last_updated":"2026-05-23T15:21:17Z","snapshot_observed_at":"2026-08-08T00:58:15.124829Z","submitted_at":"2026-02-13T04:22:46Z","title":"Differentially Private Two-Stage Empirical Risk Minimization with Applications to Individualized Treatment Rule","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T23:49:39.134567Z"},"links":{"cited_paper":"/paper/2307.13127","citing_paper":"/paper/2602.12604"},"observation_digest":"sha256:a553627d74318e64ed5745797f4600876b4bf7a345b4a9eac5c07f897cfa2724","observation_id":"980a21b7-d32c-48bb-bf77-dda606162155","resolution":{"observed_at":"2026-08-02T23:49:39.134567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.13127/citation-record","integrity":"/paper/2307.13127/integrity","json":"/paper/2307.13127/citation-record.json","paper":"/paper/2307.13127"},"outbound":[],"paper":{"arxiv_id":"2307.13127","last_updated":"2026-06-22T20:41:23Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T15:58:04.621609Z","submitted_at":"2023-07-24T21:03:25Z","title":"A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning"},"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 1 inbound Pith citation observation for arXiv:2307.13127."}