{"as_of":"2026-08-10T05:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9756a7d0b778583f8c8f14845be7a8f4ffa8d13c9f3302b3014a11eb007e9237","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T13:57:26.230192Z","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":"2026-08-07T13:57:26.877194Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.05474","last_updated":"2025-03-07T14:47:03Z","snapshot_observed_at":"2026-08-07T22:54:55.784806Z","submitted_at":"2025-03-07T14:47:03Z","title":"Personalized Federated Learning via Learning Dynamic Graphs","version":1},"cited_work":{"arxiv_id":"2503.05474","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.05474","snapshot_observed_at":"2026-08-07T13:57:26.877194Z","title":"Personalized Federated Learning via Learning Dynamic Graphs","venue":"cs.LG","work_id":"2773ffa1-6d6c-4c56-901d-b83fd0f5bda1","year":2025},"citing_paper":{"arxiv_id":"2505.20648","last_updated":"2025-05-27T02:53:14Z","snapshot_observed_at":"2026-08-08T13:23:13.994666Z","submitted_at":"2025-05-27T02:53:14Z","title":"Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T13:57:26.230192Z"},"links":{"cited_paper":"/paper/2503.05474","citing_paper":"/paper/2505.20648"},"observation_digest":"sha256:0967449de5f48d6662cafb8ffe233c90e303fa67f7e8040b9354e44261dddad3","observation_id":"1557ab04-9368-4a2b-b0af-32a737427dd2","resolution":{"observed_at":"2026-08-07T13:57:26.935430Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.05474/citation-record","integrity":"/paper/2503.05474/integrity","json":"/paper/2503.05474/citation-record.json","paper":"/paper/2503.05474"},"outbound":[],"paper":{"arxiv_id":"2503.05474","last_updated":"2025-03-07T14:47:03Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T22:54:55.784806Z","submitted_at":"2025-03-07T14:47:03Z","title":"Personalized Federated Learning via Learning Dynamic Graphs"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.05474."}