Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.09831.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:26:09.429538Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:43:47.473069Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d6221201-1a13-45a5-9c12-d8389ccc7054 · inbound
A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems cites this paper.
A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:43:47.476267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fc047786-27ac-4f7f-a1a6-c0922f3caca7 · inbound
Training Deep Learning Models with Norm-Constrained LMOs cites this paper.
Training Deep Learning Models with Norm-Constrained LMOs Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T21:22:37.030429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0c432730-39da-46cf-a92b-ce368e286ee0 · inbound
A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition cites this paper.
A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:35:45.698138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3de701d5-4876-4526-b232-e158bc05b335 · inbound
A first-order method for constrained nonconvex-nonconcave minimax optimization cites this paper.
A first-order method for constrained nonconvex-nonconcave minimax optimization Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:26:09.429538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.