{"as_of":"2026-08-19T08:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e35c6ec478ba1ca37f03cb0837173619ee869df1b7d9c2f060d97bd038fa8bf","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":"2026-08-19T06:32:44.657259+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":"2026-08-11T17:58:41.715285Z","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":"2026-08-11T17:58:43.568840Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.00324","last_updated":"2022-05-06T06:41:53Z","snapshot_observed_at":"2026-08-16T17:17:51.975879Z","submitted_at":"2022-03-01T09:56:55Z","title":"Differentially private training of residual networks with scale normalisation","version":2},"cited_work":{"arxiv_id":"2203.00324","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.00324","snapshot_observed_at":"2026-08-11T17:58:43.568840Z","title":"Differentially private training of residual networks with scale normalisation","venue":"cs.LG","work_id":"0557ffac-39d8-4c0d-ab35-cff48a20694f","year":2022},"citing_paper":{"arxiv_id":"2412.08534","last_updated":"2025-04-17T11:38:29Z","snapshot_observed_at":"2026-08-16T05:11:04.787005Z","submitted_at":"2024-12-11T16:48:18Z","title":"Protecting Confidentiality, Privacy and Integrity in Collaborative Learning","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T17:58:41.715285Z"},"links":{"cited_paper":"/paper/2203.00324","citing_paper":"/paper/2412.08534"},"observation_digest":"sha256:31e74205ffd144a4887825f63f8e2af21fc916f02cac62e73552e00d68481505","observation_id":"1e9ff4e8-7643-4d95-ad80-19b8083a1446","resolution":{"observed_at":"2026-08-11T17:58:43.573437Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.00324/citation-record","integrity":"/paper/2203.00324/integrity","json":"/paper/2203.00324/citation-record.json","paper":"/paper/2203.00324"},"outbound":[],"paper":{"arxiv_id":"2203.00324","last_updated":"2022-05-06T06:41:53Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:17:51.975879Z","submitted_at":"2022-03-01T09:56:55Z","title":"Differentially private training of residual networks with scale normalisation"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2203.00324."}