{"as_of":"2026-08-08T15:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:73802e41be95d9b277280cc0a057c9317b6b948672c85451631502264b0e1200","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T20:57:41.429175Z","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":"2026-08-06T20:57:43.705529Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.03042","last_updated":"2021-04-07T10:42:14Z","snapshot_observed_at":"2026-07-06T10:57:14.668681Z","submitted_at":"2021-04-07T10:42:14Z","title":"On-device Federated Learning with Flower","version":1},"cited_work":{"arxiv_id":"2104.03042","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.03042","snapshot_observed_at":"2026-08-06T20:57:43.705529Z","title":"On-device Federated Learning with Flower","venue":"cs.LG","work_id":"98f9b852-7d6a-4266-9362-f1ace4d6d986","year":2021},"citing_paper":{"arxiv_id":"2507.03003","last_updated":"2025-07-02T05:23:20Z","snapshot_observed_at":"2026-08-08T14:58:12.616619Z","submitted_at":"2025-07-02T05:23:20Z","title":"Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T20:57:41.429175Z"},"links":{"cited_paper":"/paper/2104.03042","citing_paper":"/paper/2507.03003"},"observation_digest":"sha256:280a4d4ae81ee74f2fa817fbfe3cced69d299979b4bec32f6c41f9cb46569d46","observation_id":"b8462004-becc-4b99-9945-9ec4237d1a0e","resolution":{"observed_at":"2026-08-06T20:57:43.753632Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2104.03042/citation-record","integrity":"/paper/2104.03042/integrity","json":"/paper/2104.03042/citation-record.json","paper":"/paper/2104.03042"},"outbound":[],"paper":{"arxiv_id":"2104.03042","last_updated":"2021-04-07T10:42:14Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T10:57:14.668681Z","submitted_at":"2021-04-07T10:42:14Z","title":"On-device Federated Learning with Flower"},"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 1 inbound Pith citation observation for arXiv:2104.03042."}