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Paper Citation Record · LEDGER

Generalized Optimistic Methods for Convex-Concave Saddle Point Problems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.09674.

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

pith.paper-citation-record.v1
2202.09674 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:40:46.396278Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:43:47.539490Z

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 2bf7a311-4169-4e8b-83cf-c649bc918d58 · 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 Generalized Optimistic Methods for Convex-Concave Saddle Point Problems

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:43:47.543509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T02:40:21.808440Z digest=sha256:c6ddaab15db58453ff98e2fb825d74643041db94ba8e476098cc7407ee0546f1

Observation 09d2aae2-2b09-445e-8410-8a4968ef05b4 · inbound

Accelerating Trust-Region Methods: An Attempt to Balance Global and Local Efficiency cites this paper.

Accelerating Trust-Region Methods: An Attempt to Balance Global and Local Efficiency Generalized Optimistic Methods for Convex-Concave Saddle Point Problems

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T00:40:46.396278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:40:46.396278Z digest=sha256:f2d829af98dcb2b36048e2879e92081868b5b19e9c55ec56dc9ce421a81338f8

Observation ffdcaebb-429a-42e2-a98f-9691169b8ba5 · inbound

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(\epsilon^{-4/(3p+1)})$ $p$th-Order Oracle Complexity cites this paper.

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(\epsilon^{-4/(3p+1)})$ $p$th-Order Oracle Complexity Generalized Optimistic Methods for Convex-Concave Saddle Point Problems

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:16:05.968105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:06:13.893775Z digest=sha256:3786ba57640089becef0a00b45c18817ee6b963719092f98763531b27c92ba6f