{"as_of":"2026-08-21T05:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a51c2a2b09fd3519ed5b4f16a9ee54c7972731fcbb56bda41bbde12046bb47ab","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":"2026-08-20T06:33:59.587034+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":"2026-08-05T22:57:23.459006Z","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":"2026-08-05T22:57:24.619699Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2204.05011","last_updated":"2022-11-15T09:32:51Z","snapshot_observed_at":"2026-08-16T17:07:49.896636Z","submitted_at":"2022-04-11T11:24:21Z","title":"FederatedScope: A Flexible Federated Learning Platform for Heterogeneity","version":5},"cited_work":{"arxiv_id":"2204.05011","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.05011","snapshot_observed_at":"2026-08-05T22:57:24.619699Z","title":"FederatedScope: A Flexible Federated Learning Platform for Heterogeneity","venue":"cs.LG","work_id":"72529e4a-7e5b-451a-b776-fe1c27007482","year":2022},"citing_paper":{"arxiv_id":"2508.06301","last_updated":"2025-08-08T13:24:57Z","snapshot_observed_at":"2026-08-15T18:19:00.125193Z","submitted_at":"2025-08-08T13:24:57Z","title":"FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-05T22:57:23.459006Z"},"links":{"cited_paper":"/paper/2204.05011","citing_paper":"/paper/2508.06301"},"observation_digest":"sha256:037d1306a025115c58c3329351363be5e79c20d7f6aa4316af93eb1a5290847f","observation_id":"76847013-b37f-4528-9f01-d23d093e7445","resolution":{"observed_at":"2026-08-05T22:57:24.720547Z","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/2204.05011/citation-record","integrity":"/paper/2204.05011/integrity","json":"/paper/2204.05011/citation-record.json","paper":"/paper/2204.05011"},"outbound":[],"paper":{"arxiv_id":"2204.05011","last_updated":"2022-11-15T09:32:51Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:07:49.896636Z","submitted_at":"2022-04-11T11:24:21Z","title":"FederatedScope: A Flexible Federated Learning Platform for Heterogeneity"},"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 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2204.05011."}