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Paper Citation Record · LEDGER

What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1902.00618.

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

pith.paper-citation-record.v1
1902.00618 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:41:34.709578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:11:17.295277Z

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 b4e21477-1f14-4947-a95c-d1976b49943d · inbound

Stochastic AUC Maximization with Deep Neural Networks cites this paper.

Stochastic AUC Maximization with Deep Neural Networks What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T10:41:34.709578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:41:34.709578Z digest=sha256:b31c36f10265c4e306fa7b39339cd755d6dfabd95f3aa1e3071474e5223f6c62

Observation 415cb572-dc7b-4093-b431-ba31c56287c7 · 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 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:35:45.686515Z

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.

source=pdf_text observed=2026-05-21T23:35:03.424607Z digest=sha256:54748630ab9f9c00bad6b4b7399346838e74c4584dfdd44e321c350b4988d9be

Observation 9840bc0f-4927-4472-b4a0-b7f8d1aaefd3 · inbound

Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions cites this paper.

Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T17:20:41.850191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:20:41.850191Z digest=sha256:7ed0d366f26f9a7bef1dbfe596c98bca66d046712ccc92c6ae467bbfd4a1fc42

Observation d0e8b024-dc09-4949-8ce8-103020931e6b · 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 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:21.644006Z

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.

source=arxiv_source observed=2026-05-09T19:43:42.331642Z digest=sha256:cf5e68bb177d53ef1ce17a39e2b7dfbc61a79555e5facf92e7ab65188b744533

Observation e1636746-8fe2-4731-8d18-7e2c0d04c7fd · inbound

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics cites this paper.

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

Reference 152

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:11:17.298411Z

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.

source=arxiv_source observed=2026-05-22T08:06:52.309619Z digest=sha256:2d4b70f633692dfe39a1fec51ea24550baf99b77a79688117d536059f5aff0d8