{"as_of":"2026-08-09T15:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8defb347f091d62a9fa4cd630c5e9aaf719ebc3169b0148ae19e1f5eee60a11c","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T05:03:50.285572Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T06:16:28.064256Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.06530","last_updated":"2018-06-07T12:57:57Z","snapshot_observed_at":"2026-08-09T11:14:44.615691Z","submitted_at":"2018-05-16T21:19:40Z","title":"Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising","version":2},"cited_work":{"arxiv_id":"1805.06530","doi":"10.48550/arxiv.1805.06530","metadata_source":"pith","pith_arxiv_id":"1805.06530","snapshot_observed_at":"2026-08-07T06:16:28.064256Z","title":"Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising","venue":"cs.LG","work_id":"e56a1c2a-145a-49be-a5bd-f4ef290e5786","year":2018},"citing_paper":{"arxiv_id":"2506.09312","last_updated":"2025-06-11T00:59:52Z","snapshot_observed_at":"2026-08-09T11:14:17.783464Z","submitted_at":"2025-06-11T00:59:52Z","title":"What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:50.285572Z"},"links":{"cited_paper":"/paper/1805.06530","citing_paper":"/paper/2506.09312"},"observation_digest":"sha256:1cf88d2d8a75254608157720bfa28927197a4c78aba4fee885315ca7c708d367","observation_id":"ce802486-53fd-4269-859e-bb8e3b42a3d4","resolution":{"observed_at":"2026-08-07T05:03:53.399724Z","resolver_source":"local_arxiv","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/1805.06530/citation-record","integrity":"/paper/1805.06530/integrity","json":"/paper/1805.06530/citation-record.json","paper":"/paper/1805.06530"},"outbound":[],"paper":{"arxiv_id":"1805.06530","last_updated":"2018-06-07T12:57:57Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T11:14:44.615691Z","submitted_at":"2018-05-16T21:19:40Z","title":"Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising"},"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 1 inbound Pith citation observation for arXiv:1805.06530."}