{"as_of":"2026-08-20T23:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8609d1ad16953199ff1452a14a4d498fa410bc25e075e62c47b6a2d83a22152b","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":"2026-08-20T06:33:59.587034+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":"2026-08-11T18:14:17.048090Z","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":"2026-08-11T13:04:12.869730Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2002.11545","last_updated":"2020-05-11T11:44:11Z","snapshot_observed_at":"2026-08-18T21:07:43.918437Z","submitted_at":"2020-02-26T14:56:52Z","title":"Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.11545","snapshot_observed_at":"2026-08-11T18:14:17.048090Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.08138","last_updated":"2024-12-12T01:47:20Z","snapshot_observed_at":"2026-08-18T03:25:26.541019Z","submitted_at":"2024-12-11T06:51:45Z","title":"Learn How to Query from Unlabeled Data Streams in Federated Learning","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T18:14:17.048090Z"},"links":{"cited_paper":"/paper/2002.11545","citing_paper":"/paper/2412.08138"},"observation_digest":"sha256:d87c2d5ce9a6bf05e2395b23602d51abfdefc5368d9a1fb9d2a7b76a1827cc53","observation_id":"48759227-a724-4ee8-ba84-e677cc4cf478","resolution":{"observed_at":"2026-08-11T18:14:17.048090Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.11545","last_updated":"2020-05-11T11:44:11Z","snapshot_observed_at":"2026-08-18T21:07:43.918437Z","submitted_at":"2020-02-26T14:56:52Z","title":"Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective","version":2},"cited_work":{"arxiv_id":"2002.11545","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.11545","snapshot_observed_at":"2026-08-11T13:04:12.869730Z","title":"Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective","venue":"cs.LG","work_id":"6d6fe9a4-b441-4b82-bf5b-a6955cb86353","year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.323994Z"},"links":{"cited_paper":"/paper/2002.11545","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:87d37563268c8d1fd9ba4367b7e69f7006dd2a06016594057fbf37a97d695269","observation_id":"87348c52-a25a-41e9-b5ec-ccf37d88bad0","resolution":{"observed_at":"2026-08-11T13:04:12.879607Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2002.11545/citation-record","integrity":"/paper/2002.11545/integrity","json":"/paper/2002.11545/citation-record.json","paper":"/paper/2002.11545"},"outbound":[],"paper":{"arxiv_id":"2002.11545","last_updated":"2020-05-11T11:44:11Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T21:07:43.918437Z","submitted_at":"2020-02-26T14:56:52Z","title":"Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.11545."}