{"as_of":"2026-08-11T01:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0c35699a08659a1cb6e973bce9c8bb76050bf855cd48203597fdc6c6e1f31109","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T11:18:57.041082Z","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":"2026-08-07T11:19:03.822773Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.05891","last_updated":"2023-05-29T01:35:56Z","snapshot_observed_at":"2026-08-03T14:40:52.180671Z","submitted_at":"2022-06-13T03:08:39Z","title":"Anchor Sampling for Federated Learning with Partial Client Participation","version":2},"cited_work":{"arxiv_id":"2206.05891","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.05891","snapshot_observed_at":"2026-08-07T11:19:03.822773Z","title":"Anchor Sampling for Federated Learning with Partial Client Participation","venue":"cs.LG","work_id":"400b0a00-0207-4294-b799-59de0cc7c5fc","year":2022},"citing_paper":{"arxiv_id":"2506.02887","last_updated":"2025-06-06T07:35:34Z","snapshot_observed_at":"2026-08-10T15:24:49.723677Z","submitted_at":"2025-06-03T13:52:27Z","title":"Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.041082Z"},"links":{"cited_paper":"/paper/2206.05891","citing_paper":"/paper/2506.02887"},"observation_digest":"sha256:830ba21b0b96749e09d93eebd2c031edce42692286a8ee79bde7f139b7d37b28","observation_id":"b408daa4-9f38-4376-b872-c3ffd93dfd4c","resolution":{"observed_at":"2026-08-07T11:19:03.911131Z","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/2206.05891/citation-record","integrity":"/paper/2206.05891/integrity","json":"/paper/2206.05891/citation-record.json","paper":"/paper/2206.05891"},"outbound":[],"paper":{"arxiv_id":"2206.05891","last_updated":"2023-05-29T01:35:56Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T14:40:52.180671Z","submitted_at":"2022-06-13T03:08:39Z","title":"Anchor Sampling for Federated Learning with Partial Client Participation"},"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 1 inbound Pith citation observation for arXiv:2206.05891."}