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Paper Citation Record · LEDGER

Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.05071.

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

pith.paper-citation-record.v1
2402.05071 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T10:27:13.896754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:22:37.008510Z

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 22596a60-c56c-4142-9fcd-3c1918cf1c08 · inbound

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

Training Deep Learning Models with Norm-Constrained LMOs Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:22:37.010925Z

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:b5aa29929f97541e347f26b9205c1572a2e5019f8d57669195e771ed97260ead

Observation c6dbe29c-24ea-42e7-bd1e-1c4ee8562172 · inbound

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

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity

Reference 28

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=sha256:9bb1c0cbfc127a5f8fe00ff5ed8f8b6fbe002dda4c4078930b8b1968570fc2ff