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Paper Citation Record · LEDGER

Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.12247.

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

pith.paper-citation-record.v1
2201.12247 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:26:07.673930Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:35:45.676368Z

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 d4b478a1-93dd-4fa1-9890-fdf40387b74e · inbound

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

Training Deep Learning Models with Norm-Constrained LMOs Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:22:36.996171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T21:22:36.870292Z digest=sha256:4caa988c0a04e3e5f0ae0c30b449c187d46a68ffd9bf1457e4d700c9b37d6399

Observation 1fb36f13-0329-46f9-a794-34e9a4529749 · 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 Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:35:45.679888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T23:35:03.424607Z digest=sha256:fbf33038892609ef5c8f2244769cc55e49a33b03feff6c361c2cd1a21935a6bf

Observation 80e2e3b3-cd36-4b1f-a8c7-cb7a11de1b6e · inbound

A first-order method for constrained nonconvex-nonconcave minimax optimization cites this paper.

A first-order method for constrained nonconvex-nonconcave minimax optimization Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T13:26:07.673930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:26:07.673930Z digest=sha256:a2d772f2495aa6cd7a463f2f69dc7fc72051e8b310d5e4d695b9d93a409bf740

Observation 695ba8ac-925d-45e1-b774-2cf51e332af0 · inbound

Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions cites this paper.

Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions

Reference 160

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:31.608228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:46:35.908522Z digest=sha256:8ceccd20e2798a73f7714a1d736f1ce923b74e90ba063a7954e2d81253d6efc2

Observation c6d0af85-f1aa-4441-b8b0-731f6402b94a · inbound

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions cites this paper.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-11T10:27:13.896754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:27:13.896754Z digest=sha256:d636204d303c3ace7ea233ee77f79d1e5b22237f2c9a049c73e7fba82e949e09