{"as_of":"2026-08-08T23:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6b061d72e99dabeef8a2518613d858c4a92d81ee4d8160ca599fbda576ac3cb8","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":"2026-08-01T01:34:40.833582Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.21099","last_updated":"2025-05-17T09:56:02Z","snapshot_observed_at":"2026-08-07T17:39:37.901655Z","submitted_at":"2025-02-28T14:37:56Z","title":"Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.21099","snapshot_observed_at":"2026-08-01T01:34:40.833582Z","title":"Adaptive extrapolated proximal gradient methods with variance reduction for composite nonconvex ﬁnite-sum minimization","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25785","last_updated":"2026-07-28T14:37:47Z","snapshot_observed_at":"2026-08-08T19:38:03.272739Z","submitted_at":"2026-07-28T14:37:47Z","title":"Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T01:34:40.833582Z"},"links":{"cited_paper":"/paper/2502.21099","citing_paper":"/paper/2607.25785"},"observation_digest":"sha256:a9ab6d67c331805a4bcdb5d76d184c011c5b95679bee3d310555ab1121ef402e","observation_id":"3163d563-7d98-4d9a-a17c-2d418c501166","resolution":{"observed_at":"2026-08-01T01:34:40.833582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.21099/citation-record","integrity":"/paper/2502.21099/integrity","json":"/paper/2502.21099/citation-record.json","paper":"/paper/2502.21099"},"outbound":[],"paper":{"arxiv_id":"2502.21099","last_updated":"2025-05-17T09:56:02Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-08-07T17:39:37.901655Z","submitted_at":"2025-02-28T14:37:56Z","title":"Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization"},"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:2502.21099."}