{"as_of":"2026-08-12T05:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fcf11e39b685386b866c4a9d319bc8749f4b19a7cd3f4695f847e768c862d2d5","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T21:05:04.825607Z","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":"2026-07-04T02:09:22.309939Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.17602","last_updated":"2026-07-16T04:41:12Z","snapshot_observed_at":"2026-08-07T17:52:05.292039Z","submitted_at":"2025-02-24T19:36:47Z","title":"A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization","version":2},"cited_work":{"arxiv_id":"2502.17602","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17602","snapshot_observed_at":"2026-07-17T01:20:34.521445Z","title":"arXiv preprint arXiv:2502.17602 , year=","venue":null,"work_id":"231690fa-d621-4d3d-8fcf-e89ca9d20de9","year":2025},"citing_paper":{"arxiv_id":"2403.09532","last_updated":"2026-05-07T09:57:24Z","snapshot_observed_at":"2026-07-06T17:44:41.822709Z","submitted_at":"2024-03-14T16:21:32Z","title":"Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems","version":4},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-24T02:38:47.015471Z"},"links":{"cited_paper":"/paper/2502.17602","citing_paper":"/paper/2403.09532"},"observation_digest":"sha256:5ba1c7f503ec970d072446b092d81741a36eff39adaef9d86234f37ecaeed27a","observation_id":"49efc588-6368-4840-af66-d3d160965aea","resolution":{"observed_at":"2026-07-17T01:20:34.521445Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17602","last_updated":"2026-07-16T04:41:12Z","snapshot_observed_at":"2026-08-07T17:52:05.292039Z","submitted_at":"2025-02-24T19:36:47Z","title":"A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17602","snapshot_observed_at":"2026-08-09T21:05:04.825607Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.19214","last_updated":"2025-09-10T02:48:51Z","snapshot_observed_at":"2026-08-11T15:15:20.076144Z","submitted_at":"2025-01-31T15:18:52Z","title":"A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T21:05:04.825607Z"},"links":{"cited_paper":"/paper/2502.17602","citing_paper":"/paper/2501.19214"},"observation_digest":"sha256:1c594cb060691084d39df9f730b469a8840ea19a8f04749a3f7532c492d2c056","observation_id":"71f574bf-ad0b-4b29-a6df-0d3e3c34ecd2","resolution":{"observed_at":"2026-08-09T21:05:04.825607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17602","last_updated":"2026-07-16T04:41:12Z","snapshot_observed_at":"2026-08-07T17:52:05.292039Z","submitted_at":"2025-02-24T19:36:47Z","title":"A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17602","snapshot_observed_at":"2026-08-07T10:40:36.797712Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.04948","last_updated":"2026-05-27T08:59:05Z","snapshot_observed_at":"2026-08-07T10:27:40.662164Z","submitted_at":"2025-06-05T12:21:44Z","title":"Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:40:36.797712Z"},"links":{"cited_paper":"/paper/2502.17602","citing_paper":"/paper/2506.04948"},"observation_digest":"sha256:46a975804d746b7a066bdfa2c0d06bbadfab5588d5897747443f4cd497880ac9","observation_id":"1a650219-28e5-4057-882d-c1fa441de7e0","resolution":{"observed_at":"2026-08-07T10:40:36.797712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17602","last_updated":"2026-07-16T04:41:12Z","snapshot_observed_at":"2026-08-07T17:52:05.292039Z","submitted_at":"2025-02-24T19:36:47Z","title":"A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization","version":2},"cited_work":{"arxiv_id":"2502.17602","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17602","snapshot_observed_at":"2026-07-17T01:20:34.521445Z","title":"arXiv preprint arXiv:2502.17602 , year=","venue":null,"work_id":"231690fa-d621-4d3d-8fcf-e89ca9d20de9","year":2025},"citing_paper":{"arxiv_id":"2606.19050","last_updated":"2026-06-17T13:17:06Z","snapshot_observed_at":"2026-08-02T06:04:21.663026Z","submitted_at":"2026-06-17T13:17:06Z","title":"First-Order Methods for Solving Convex (Strongly) Concave Minimax Problems with Functional Constraints","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-26T20:02:45.082477Z"},"links":{"cited_paper":"/paper/2502.17602","citing_paper":"/paper/2606.19050"},"observation_digest":"sha256:a854b02905724426e9d3c40d9c3d8b23c67cd165e02aed7d3845294489f40c5b","observation_id":"bc98d703-1511-4ad1-ac74-c0fbda8dae16","resolution":{"observed_at":"2026-07-17T01:20:34.521445Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.17602/citation-record","integrity":"/paper/2502.17602/integrity","json":"/paper/2502.17602/citation-record.json","paper":"/paper/2502.17602"},"outbound":[],"paper":{"arxiv_id":"2502.17602","last_updated":"2026-07-16T04:41:12Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-08-07T17:52:05.292039Z","submitted_at":"2025-02-24T19:36:47Z","title":"A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.17602."}