{"as_of":"2026-08-10T16:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:965ffa14e5c7f23d7ff7c05a3600c329aea2ec94e3d52642c68b72d5559d54b1","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":"2026-08-07T13:57:24.870000Z","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":"2026-08-07T13:57:27.053729Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.03461","last_updated":"2021-10-07T13:38:57Z","snapshot_observed_at":"2026-08-10T11:18:54.209082Z","submitted_at":"2021-10-07T13:38:57Z","title":"Self-Evolutionary Optimization for Pareto Front Learning","version":1},"cited_work":{"arxiv_id":"2110.03461","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.03461","snapshot_observed_at":"2026-08-07T13:57:27.053729Z","title":"Self-Evolutionary Optimization for Pareto Front Learning","venue":"cs.AI","work_id":"590af62b-0ff6-4ee9-80cd-bd82f07937c2","year":2021},"citing_paper":{"arxiv_id":"2505.20648","last_updated":"2025-05-27T02:53:14Z","snapshot_observed_at":"2026-08-10T08:13:20.467849Z","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":2004,"source":"pdf_text","source_observed_at":"2026-08-07T13:57:24.870000Z"},"links":{"cited_paper":"/paper/2110.03461","citing_paper":"/paper/2505.20648"},"observation_digest":"sha256:5f672459dd8c063cd8f8a2dc1f69a0659c96c47d29384fffd3c8cd2839af4b16","observation_id":"42745dd9-4a8a-4f92-9e87-6c49a4ad7a8b","resolution":{"observed_at":"2026-08-07T13:57:27.116252Z","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/2110.03461/citation-record","integrity":"/paper/2110.03461/integrity","json":"/paper/2110.03461/citation-record.json","paper":"/paper/2110.03461"},"outbound":[],"paper":{"arxiv_id":"2110.03461","last_updated":"2021-10-07T13:38:57Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T11:18:54.209082Z","submitted_at":"2021-10-07T13:38:57Z","title":"Self-Evolutionary Optimization for Pareto Front 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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.03461."}