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Paper Citation Record · LEDGER

Accelerated Single-Call Methods for Constrained Min-Max Optimization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.03096.

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

pith.paper-citation-record.v1
2210.03096 v2

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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:55:08.492703Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:35:45.706016Z

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 b5e5ec8c-acfa-4f2e-8ad5-fffcdcdd6a55 · inbound

Randomized Truthful Auctions with Learning Agents cites this paper.

Randomized Truthful Auctions with Learning Agents Accelerated Single-Call Methods for Constrained Min-Max Optimization

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T20:43:50.833310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:43:50.833310Z digest=sha256:8c674e73f275a3d853843d1db8a15873addf1aa62f3b6938cd1827f1f78f61c2

Observation d3c2c3d5-a38e-43a9-94b7-55e4791e5922 · inbound

Accelerated Extragradient-Type Methods -- Part 2: Generalization and Sublinear Convergence Rates under Co-Hypomonotonicity cites this paper.

Accelerated Extragradient-Type Methods -- Part 2: Generalization and Sublinear Convergence Rates under Co-Hypomonotonicity Accelerated Single-Call Methods for Constrained Min-Max Optimization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:38:04.739566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:38:04.739566Z digest=sha256:d4bbb0b7286cfd3e9d90913d3d9c0d667ac6eb1be20fece0b0fd90e133508365

Observation 6dc2011a-8128-4c99-933a-2fa5bbccf46a · 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 Accelerated Single-Call Methods for Constrained Min-Max Optimization

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:35:45.708797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T23:35:03.424607Z digest=sha256:cf30b8d2ddc155c6ec152ef7954b4ff5ea669af0bc7f6e67c0dad7838c3e7061

Observation 35ed705f-ef39-4ddb-9608-512e95f8b488 · inbound

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

A first-order method for constrained nonconvex-nonconcave minimax optimization Accelerated Single-Call Methods for Constrained Min-Max Optimization

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T13:26:07.963777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:26:07.963777Z digest=sha256:1e2e6fcb4730e63eb9aa6f75f3398b12805b351c70c0b94b0d021abaa464b5c9

Observation 9eb6ba9c-91d6-4160-974b-d311f783afe7 · inbound

Robust General Utility for Reinforcement Learning cites this paper.

Robust General Utility for Reinforcement Learning Accelerated Single-Call Methods for Constrained Min-Max Optimization

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-15T14:55:08.492703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:55:08.492703Z digest=sha256:41f6259b6665d5b270e5a2e036d3d7e29fb08906d804b1e5d0710a9602351fef