{"as_of":"2026-08-16T17:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8e6e52fc181bc918593d53c8c771247e1ee70116a91af70a374d448ad80bdca","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":"2026-08-16T06:30:59.297886+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":"2026-08-10T21:43:58.952286Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2204.06322","last_updated":"2022-06-29T21:03:59Z","snapshot_observed_at":"2026-08-16T17:07:40.613035Z","submitted_at":"2022-04-11T18:16:41Z","title":"Production federated keyword spotting via distillation, filtering, and joint federated-centralized training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06322","snapshot_observed_at":"2026-08-10T21:43:58.952286Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.04000","last_updated":"2025-01-07T18:56:14Z","snapshot_observed_at":"2026-08-15T16:19:30.480783Z","submitted_at":"2025-01-07T18:56:14Z","title":"A Survey on Federated Learning in Human Sensing","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:58.952286Z"},"links":{"cited_paper":"/paper/2204.06322","citing_paper":"/paper/2501.04000"},"observation_digest":"sha256:b4b0fdf43e8926ff05160997b3ecd5865208c7c786421b442feea52f29827e29","observation_id":"fd5654ca-4bee-489d-9eff-eb42b5ee8bcc","resolution":{"observed_at":"2026-08-10T21:43:58.952286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2204.06322/citation-record","integrity":"/paper/2204.06322/integrity","json":"/paper/2204.06322/citation-record.json","paper":"/paper/2204.06322"},"outbound":[],"paper":{"arxiv_id":"2204.06322","last_updated":"2022-06-29T21:03:59Z","latest_version":2,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-16T17:07:40.613035Z","submitted_at":"2022-04-11T18:16:41Z","title":"Production federated keyword spotting via distillation, filtering, and joint federated-centralized training"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2204.06322."}