Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.02060.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.350523Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:43:47.468272Z
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 8a01cffa-3ca9-41e6-a446-f73592b41529 · inbound
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints cites this paper.
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:09:34.350523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb3b905f-bf2c-4fe3-b4ef-70bfc2aafa98 · inbound
Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization cites this paper.
Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:45:51.790614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdfeb55e-bfeb-4559-8e98-3dc9d8744051 · inbound
Stochastic Optimization for Non-convex Inf-Projection Problems cites this paper.
Stochastic Optimization for Non-convex Inf-Projection Problems Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:05:32.330364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a8f2219-79ec-4ae4-aa29-a825a400b4b0 · inbound
Stochastic AUC Maximization with Deep Neural Networks cites this paper.
Stochastic AUC Maximization with Deep Neural Networks Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:41:34.777456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8769fc15-422e-4c83-92fc-681f30c119b2 · 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 Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:43:47.470859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.