Paper Citation Record · LEDGER

First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1810.10207.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1810.10207 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.312907Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T21:22:37.180564Z

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 0068836e-f984-4856-840a-0354c2b66ae8 · 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 First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:34.312907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f42fe7e5-5445-4b62-9576-4c6805fa5566 · inbound

Stochastic AUC Maximization with Deep Neural Networks cites this paper.

Stochastic AUC Maximization with Deep Neural Networks First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T10:41:34.742183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4d097a6-23a0-4811-8014-d912267dac64 · inbound

Training Deep Learning Models with Norm-Constrained LMOs cites this paper.

Training Deep Learning Models with Norm-Constrained LMOs First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:22:37.183532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c3d3e07-2fc2-4afb-8fc1-3e23d1ba7459 · inbound

A unified perspective on fine-tuning and sampling with diffusion and flow models cites this paper.

A unified perspective on fine-tuning and sampling with diffusion and flow models First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:21.699503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.