{"as_of":"2026-08-08T19:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3ae40aa6911a4d6522ade981ef37699f50f171863dc42de86ef38b4723ed198","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":"2026-08-07T11:18:57.580774Z","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":"2026-08-07T11:19:03.097823Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.11660","last_updated":"2024-12-16T11:02:38Z","snapshot_observed_at":"2026-07-06T20:07:41.462631Z","submitted_at":"2024-12-16T11:02:38Z","title":"Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning","version":1},"cited_work":{"arxiv_id":"2412.11660","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.11660","snapshot_observed_at":"2026-08-07T11:19:03.097823Z","title":"Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning","venue":"cs.LG","work_id":"08b285de-8151-4dfa-b5c4-09c787b7cbb9","year":2024},"citing_paper":{"arxiv_id":"2506.02887","last_updated":"2025-06-06T07:35:34Z","snapshot_observed_at":"2026-08-08T14:34:56.393717Z","submitted_at":"2025-06-03T13:52:27Z","title":"Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:57.580774Z"},"links":{"cited_paper":"/paper/2412.11660","citing_paper":"/paper/2506.02887"},"observation_digest":"sha256:7c736874dacee0fec21eb703db00aabae5159860d037bd77fa7b79da217d0aca","observation_id":"8e79c0db-edb9-467c-be14-44949ed8e1b5","resolution":{"observed_at":"2026-08-07T11:19:03.261208Z","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/2412.11660/citation-record","integrity":"/paper/2412.11660/integrity","json":"/paper/2412.11660/citation-record.json","paper":"/paper/2412.11660"},"outbound":[],"paper":{"arxiv_id":"2412.11660","last_updated":"2024-12-16T11:02:38Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T20:07:41.462631Z","submitted_at":"2024-12-16T11:02:38Z","title":"Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive 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":"2026-08-08T06:32:00.761636+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:2412.11660."}