{"as_of":"2026-08-19T13:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:600dd3eb898174dfa4009177fc1e95be227afe10a94a53442016ac8491517324","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":"2026-08-19T06:32:44.657259+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":"2026-08-15T21:14:38.800469Z","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":"2026-07-04T02:09:22.287594Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.07113","last_updated":"2023-07-14T01:32:16Z","snapshot_observed_at":"2026-08-19T01:34:59.041867Z","submitted_at":"2023-07-14T01:32:16Z","title":"Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems","version":1},"cited_work":{"arxiv_id":"2307.07113","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.07113","snapshot_observed_at":"2026-07-04T02:09:22.287594Z","title":"Variance-reduced accelerated methods for decentral- ized stochastic double-regularized nonconvex strongly-concave minimax problems","venue":null,"work_id":"e5bd7061-bf99-4c77-98ba-eb02ff3cbd76","year":2023},"citing_paper":{"arxiv_id":"2403.07806","last_updated":"2026-05-13T10:55:50Z","snapshot_observed_at":"2026-08-17T19:15:58.673776Z","submitted_at":"2024-03-12T16:43:55Z","title":"A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-24T02:40:21.808440Z"},"links":{"cited_paper":"/paper/2307.07113","citing_paper":"/paper/2403.07806"},"observation_digest":"sha256:114dc700581c5a2574513b506f2c3995528ae36c75b5c44b73e45ffa299a91f4","observation_id":"f5ba97c2-6cb9-459e-89b0-78c8576b44c0","resolution":{"observed_at":"2026-05-24T02:43:47.498944Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07113","last_updated":"2023-07-14T01:32:16Z","snapshot_observed_at":"2026-08-19T01:34:59.041867Z","submitted_at":"2023-07-14T01:32:16Z","title":"Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07113","snapshot_observed_at":"2026-08-15T21:14:38.800469Z","title":"M ANCINO -BALL AND Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10631","last_updated":"2025-05-15T18:12:31Z","snapshot_observed_at":"2026-08-15T21:04:07.971416Z","submitted_at":"2025-05-15T18:12:31Z","title":"Decentralized Min-Max Optimization with Gradient Tracking","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:14:38.800469Z"},"links":{"cited_paper":"/paper/2307.07113","citing_paper":"/paper/2505.10631"},"observation_digest":"sha256:b3309fb0fdfd91bc3b5f0c072fac7f141d8b1abc12ab98c523b1455e0167b63c","observation_id":"e6061675-0186-4214-a6a4-ac788c49aa1a","resolution":{"observed_at":"2026-08-15T21:14:38.800469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07113","last_updated":"2023-07-14T01:32:16Z","snapshot_observed_at":"2026-08-19T01:34:59.041867Z","submitted_at":"2023-07-14T01:32:16Z","title":"Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems","version":1},"cited_work":{"arxiv_id":"2307.07113","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.07113","snapshot_observed_at":"2026-07-04T02:09:22.287594Z","title":"Variance-reduced accelerated methods for decentral- ized stochastic double-regularized nonconvex strongly-concave minimax problems","venue":null,"work_id":"e5bd7061-bf99-4c77-98ba-eb02ff3cbd76","year":2023},"citing_paper":{"arxiv_id":"2606.12124","last_updated":"2026-06-10T14:18:48Z","snapshot_observed_at":"2026-08-14T02:26:47.311416Z","submitted_at":"2026-06-10T14:18:48Z","title":"A Unified Zeroth-Order Approach for Decentralized Minimax Optimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T08:47:14.504056Z"},"links":{"cited_paper":"/paper/2307.07113","citing_paper":"/paper/2606.12124"},"observation_digest":"sha256:56f85234e576806a0a888adccefb3dfac6aa9ecdac7ecf711cbdcd02ce300620","observation_id":"3e680d23-7205-4fa6-b0df-8f6665f6a1bb","resolution":{"observed_at":"2026-07-03T12:48:11.271259Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07113","last_updated":"2023-07-14T01:32:16Z","snapshot_observed_at":"2026-08-19T01:34:59.041867Z","submitted_at":"2023-07-14T01:32:16Z","title":"Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems","version":1},"cited_work":{"arxiv_id":"2307.07113","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.07113","snapshot_observed_at":"2026-07-04T02:09:22.287594Z","title":"Variance-reduced accelerated methods for decentral- ized stochastic double-regularized nonconvex strongly-concave minimax problems","venue":null,"work_id":"e5bd7061-bf99-4c77-98ba-eb02ff3cbd76","year":2023},"citing_paper":{"arxiv_id":"2606.19050","last_updated":"2026-06-17T13:17:06Z","snapshot_observed_at":"2026-08-18T07:03:21.441191Z","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":7,"source":"arxiv_source","source_observed_at":"2026-06-26T20:02:45.082477Z"},"links":{"cited_paper":"/paper/2307.07113","citing_paper":"/paper/2606.19050"},"observation_digest":"sha256:a1e6f91ca286e3879674c2aae6af4413c2cc9a8a21584bd3bf3c420c2a1977a0","observation_id":"e0d58682-3448-4cc9-a0a2-e5acd7abf575","resolution":{"observed_at":"2026-07-04T02:09:22.289165Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.07113/citation-record","integrity":"/paper/2307.07113/integrity","json":"/paper/2307.07113/citation-record.json","paper":"/paper/2307.07113"},"outbound":[],"paper":{"arxiv_id":"2307.07113","last_updated":"2023-07-14T01:32:16Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-08-19T01:34:59.041867Z","submitted_at":"2023-07-14T01:32:16Z","title":"Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.07113."}