{"as_of":"2026-08-08T21:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0ac148aa3e14ec39b490b3b8f5904b6322cd8c8137376f652496e9ea5b650236","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-09T22:28:05.992944Z","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":"2026-07-09T22:36:36.196198Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.18465","last_updated":"2023-07-17T08:28:34Z","snapshot_observed_at":"2026-08-03T01:36:39.426953Z","submitted_at":"2023-05-29T07:54:22Z","title":"Federated Learning of Gboard Language Models with Differential Privacy","version":2},"cited_work":{"arxiv_id":"2305.18465","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.18465","snapshot_observed_at":"2026-07-09T22:36:36.196198Z","title":"arXiv preprint arXiv:2305.18465 , year=","venue":"cs.LG","work_id":"d31ee97b-a474-4e59-928a-ae74b795e83b","year":2023},"citing_paper":{"arxiv_id":"2605.23131","last_updated":"2026-05-22T01:09:14Z","snapshot_observed_at":"2026-07-06T23:33:24.215365Z","submitted_at":"2026-05-22T01:09:14Z","title":"When Determinants Are Not Enough: Private Rare Switching","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-25T05:04:26.921107Z"},"links":{"cited_paper":"/paper/2305.18465","citing_paper":"/paper/2605.23131"},"observation_digest":"sha256:32384957297add42982d68d28a72a113ab83201693d7e854851391b454cef5dc","observation_id":"9b9c9c2e-1d68-43f1-bf99-b610a98c8c80","resolution":{"observed_at":"2026-05-25T05:05:22.566779Z","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":"2305.18465","last_updated":"2023-07-17T08:28:34Z","snapshot_observed_at":"2026-08-03T01:36:39.426953Z","submitted_at":"2023-05-29T07:54:22Z","title":"Federated Learning of Gboard Language Models with Differential Privacy","version":2},"cited_work":{"arxiv_id":"2305.18465","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.18465","snapshot_observed_at":"2026-07-09T22:36:36.196198Z","title":"arXiv preprint arXiv:2305.18465 , year=","venue":"cs.LG","work_id":"d31ee97b-a474-4e59-928a-ae74b795e83b","year":2023},"citing_paper":{"arxiv_id":"2607.06979","last_updated":"2026-07-08T04:02:43Z","snapshot_observed_at":"2026-08-02T22:14:30.754967Z","submitted_at":"2026-07-08T04:02:43Z","title":"Robust Federated Learning Under Real-World Client Churn","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-09T22:28:05.992944Z"},"links":{"cited_paper":"/paper/2305.18465","citing_paper":"/paper/2607.06979"},"observation_digest":"sha256:82fd3d7541b593035f28ad5aed8732c4be60f3986892e43fac85b936d098dff2","observation_id":"2c095830-0150-4fa5-8775-1161d3f5f2da","resolution":{"observed_at":"2026-07-09T22:36:36.197635Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2305.18465/citation-record","integrity":"/paper/2305.18465/integrity","json":"/paper/2305.18465/citation-record.json","paper":"/paper/2305.18465"},"outbound":[],"paper":{"arxiv_id":"2305.18465","last_updated":"2023-07-17T08:28:34Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T01:36:39.426953Z","submitted_at":"2023-05-29T07:54:22Z","title":"Federated Learning of Gboard Language Models with Differential Privacy"},"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 2 inbound Pith citation observations for arXiv:2305.18465."}