{"as_of":"2026-08-11T03:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3aeba4c2a562a2c1bccc17834852a016e24f8f7739688cd818f9f18770782e76","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":"2026-08-10T06:31:04.303077+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":"2026-07-09T22:28:05.992944Z","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":"2026-07-09T22:36:36.184106Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.04171","last_updated":"2024-05-07T10:11:42Z","snapshot_observed_at":"2026-08-07T03:20:01.376803Z","submitted_at":"2024-05-07T10:11:42Z","title":"FedStale: leveraging stale client updates in federated learning","version":1},"cited_work":{"arxiv_id":"2405.04171","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.04171","snapshot_observed_at":"2026-07-09T22:36:36.184106Z","title":"FedStale: leveraging stale client updates in federated learning","venue":"cs.LG","work_id":"b13cf9a4-cab6-4394-abe2-94ac93bee23c","year":2024},"citing_paper":{"arxiv_id":"2606.10124","last_updated":"2026-06-22T21:05:40Z","snapshot_observed_at":"2026-08-01T17:42:39.050366Z","submitted_at":"2026-06-08T19:55:45Z","title":"FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-27T17:31:55.976607Z"},"links":{"cited_paper":"/paper/2405.04171","citing_paper":"/paper/2606.10124"},"observation_digest":"sha256:699bfb1fb89a6738ed57735eb6103adde1dd132b60956740380db902f1d374d7","observation_id":"6e05a9dc-9d2e-48c0-b1cb-662d44d64007","resolution":{"observed_at":"2026-07-03T00:07:27.813535Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04171","last_updated":"2024-05-07T10:11:42Z","snapshot_observed_at":"2026-08-07T03:20:01.376803Z","submitted_at":"2024-05-07T10:11:42Z","title":"FedStale: leveraging stale client updates in federated learning","version":1},"cited_work":{"arxiv_id":"2405.04171","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.04171","snapshot_observed_at":"2026-07-09T22:36:36.184106Z","title":"FedStale: leveraging stale client updates in federated learning","venue":"cs.LG","work_id":"b13cf9a4-cab6-4394-abe2-94ac93bee23c","year":2024},"citing_paper":{"arxiv_id":"2607.06979","last_updated":"2026-07-08T04:02:43Z","snapshot_observed_at":"2026-08-02T22:14:30.754967Z","submitted_at":"2026-07-08T04:02:43Z","title":"Robust Federated Learning Under Real-World Client Churn","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-09T22:28:05.992944Z"},"links":{"cited_paper":"/paper/2405.04171","citing_paper":"/paper/2607.06979"},"observation_digest":"sha256:861820c37bc4a7f6fbddb0b08745150cb4907166aa5aca26c93941f8f0d1befc","observation_id":"a5d63199-8ad7-4183-ae08-f14040bb6a22","resolution":{"observed_at":"2026-07-09T22:36:36.185441Z","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/2405.04171/citation-record","integrity":"/paper/2405.04171/integrity","json":"/paper/2405.04171/citation-record.json","paper":"/paper/2405.04171"},"outbound":[],"paper":{"arxiv_id":"2405.04171","last_updated":"2024-05-07T10:11:42Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T03:20:01.376803Z","submitted_at":"2024-05-07T10:11:42Z","title":"FedStale: leveraging stale client updates in federated learning"},"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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.04171."}