Paper Citation Record · LEDGER

Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.07113.

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

pith.paper-citation-record.v1
2307.07113 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:14:38.800469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:09:22.287594Z

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 f5ba97c2-6cb9-459e-89b0-78c8576b44c0 · 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 Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:43:47.498944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6061675-0186-4214-a6a4-ac788c49aa1a · inbound

Decentralized Min-Max Optimization with Gradient Tracking cites this paper.

Decentralized Min-Max Optimization with Gradient Tracking Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:14:38.800469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e680d23-7205-4fa6-b0df-8f6665f6a1bb · inbound

A Unified Zeroth-Order Approach for Decentralized Minimax Optimization cites this paper.

A Unified Zeroth-Order Approach for Decentralized Minimax Optimization Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T12:48:11.271259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0d58682-3448-4cc9-a0a2-e5acd7abf575 · inbound

First-Order Methods for Solving Convex (Strongly) Concave Minimax Problems with Functional Constraints cites this paper.

First-Order Methods for Solving Convex (Strongly) Concave Minimax Problems with Functional Constraints Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:09:22.289165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.