{"as_of":"2026-08-15T17:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa98a4f8e6072d8c7acc7df042a5b724ff86f33dd15ae966f3729de0992d1d23","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:54:16.616739Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-19T21:12:47.244174Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.08352","last_updated":"2022-06-11T13:25:36Z","snapshot_observed_at":"2026-08-13T20:13:34.764897Z","submitted_at":"2021-02-16T18:39:16Z","title":"Stochastic Variance Reduction for Variational Inequality Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.08352","snapshot_observed_at":"2026-08-11T11:54:16.616739Z","title":"Stochastic variance reduction for variational inequality methods","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.14935","last_updated":"2024-12-19T15:11:52Z","snapshot_observed_at":"2026-08-12T16:06:33.603947Z","submitted_at":"2024-12-19T15:11:52Z","title":"Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T11:54:16.616739Z"},"links":{"cited_paper":"/paper/2102.08352","citing_paper":"/paper/2412.14935"},"observation_digest":"sha256:482df2567edb05a1be8805ed4c10e0adad085a5eb09ae4d01df040a90667cff9","observation_id":"7f92496a-2d31-4c0c-ae19-29bde270fda5","resolution":{"observed_at":"2026-08-11T11:54:16.616739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.08352","last_updated":"2022-06-11T13:25:36Z","snapshot_observed_at":"2026-08-13T20:13:34.764897Z","submitted_at":"2021-02-16T18:39:16Z","title":"Stochastic Variance Reduction for Variational Inequality Methods","version":2},"cited_work":{"arxiv_id":"2102.08352","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.08352","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2102.08352 , year=","venue":null,"work_id":"e8d49974-57cd-49b3-9eca-12f29b40c6fa","year":null},"citing_paper":{"arxiv_id":"2605.16875","last_updated":"2026-07-08T09:40:22Z","snapshot_observed_at":"2026-08-14T15:11:11.702283Z","submitted_at":"2026-05-16T08:36:29Z","title":"Stochastic Optimization and Data Science","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-19T21:08:29.524132Z"},"links":{"cited_paper":"/paper/2102.08352","citing_paper":"/paper/2605.16875"},"observation_digest":"sha256:16f5c30ad6b726fe56bb81115e027ac91143ee30e8fa977db5158751677753cf","observation_id":"1cc33c82-a310-4ed6-be67-3355532e6885","resolution":{"observed_at":"2026-05-19T21:12:47.245765Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2102.08352/citation-record","integrity":"/paper/2102.08352/integrity","json":"/paper/2102.08352/citation-record.json","paper":"/paper/2102.08352"},"outbound":[],"paper":{"arxiv_id":"2102.08352","last_updated":"2022-06-11T13:25:36Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-08-13T20:13:34.764897Z","submitted_at":"2021-02-16T18:39:16Z","title":"Stochastic Variance Reduction for Variational Inequality Methods"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.08352."}