{"as_of":"2026-08-10T12:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2e9c71b995dff563acc4ba6d86b6678a633c025e22dd42183f347d7ab12c401e","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T00:52:56.542899Z","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":"2026-08-07T00:52:59.266935Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.04163","last_updated":"2021-01-11T19:43:12Z","snapshot_observed_at":"2026-07-06T10:31:40.335746Z","submitted_at":"2021-01-11T19:43:12Z","title":"On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times","version":1},"cited_work":{"arxiv_id":"2101.04163","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.04163","snapshot_observed_at":"2026-08-07T00:52:59.266935Z","title":"On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times","venue":"cs.CR","work_id":"56df9db0-11ac-4dfa-885a-7b8ad6040e78","year":2021},"citing_paper":{"arxiv_id":"2506.12749","last_updated":"2025-06-18T09:25:11Z","snapshot_observed_at":"2026-08-10T03:27:43.413246Z","submitted_at":"2025-06-15T07:13:52Z","title":"Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:52:56.542899Z"},"links":{"cited_paper":"/paper/2101.04163","citing_paper":"/paper/2506.12749"},"observation_digest":"sha256:7a57267ca7d59907b88fc89e4fdd6a869cd87557a968496d143ade93758aa99a","observation_id":"aabef17e-1f2e-4710-8a16-2d17a376aa4a","resolution":{"observed_at":"2026-08-07T00:52:59.297920Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2101.04163/citation-record","integrity":"/paper/2101.04163/integrity","json":"/paper/2101.04163/citation-record.json","paper":"/paper/2101.04163"},"outbound":[],"paper":{"arxiv_id":"2101.04163","last_updated":"2021-01-11T19:43:12Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-07-06T10:31:40.335746Z","submitted_at":"2021-01-11T19:43:12Z","title":"On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2101.04163."}