Paper Citation Record · LEDGER

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 inbound Pith citation observations for arXiv:2506.07397.

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

pith.paper-citation-record.v1
2506.07397 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:48.461194Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:26:10.160510Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:35:45.700681Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6dd03d9-b49c-4088-aa2f-13671e20fb52 · outbound

This paper cites Arjovsky, S.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Arjovsky, S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:48.630608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a18d2de5-355e-44f9-a6d5-1d4f4b2a5c67 · outbound

This paper cites Mertikopoulos, B.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Mertikopoulos, B

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:48.545795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b74ac8cb-6b30-4979-86b8-d01b10c84598 · outbound

This paper cites Pethick, P.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Pethick, P

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:48.524114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 106c810d-eefe-4e42-aded-95ff0c461096 · outbound

This paper cites Our analysis builds on the framework developed in Li et al.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Our analysis builds on the framework developed in Li et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:48.513283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c18e3b5-f4b4-4934-8083-b9e28a69986e · outbound

This paper cites Cai and W.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Cai and W

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:48.620468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f10d63d4-ae13-4530-9468-73ec43c8265e · outbound

This paper cites Distributionally Robust Optimization and Robust Statistics.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Distributionally Robust Optimization and Robust Statistics

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:48.418275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e34206-7baa-450c-adb1-933512e24fdc · outbound

This paper cites Daskalakis, A.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Daskalakis, A

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:48.582804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d44b1f98-d78a-4617-a327-42d4755c686d · outbound

This paper cites Omidshafiei, J.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Omidshafiei, J

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:48.534319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecef488f-d6e8-4ff9-901e-9e5db05503c3 · outbound

This paper cites an unresolved cited work.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:48.571001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be2178d8-adf2-49b6-851f-1c9dac2ba3b8 · outbound

This paper cites an unresolved cited work.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:48.591967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14dc68f0-aa57-4b1b-9146-227decf26f12 · outbound

This paper cites an unresolved cited work.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:48.611183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5cc70dc-0d36-4145-8f53-32d7a6ce41a8 · outbound

This paper cites an unresolved cited work.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:48.557441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88e99d37-a87e-43fc-8239-d8f1928de6cd · outbound

This paper cites an unresolved cited work.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:48.601569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5c63562-f318-4e1e-afc2-981cd77cfa44 · outbound

This paper cites A simple uniformly optimal method without line search for convex optimization.

Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems A simple uniformly optimal method without line search for convex optimization

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:48.443882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 39da8e40-05a9-4de9-8440-72ba9e30b388 · 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 Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:35:45.703541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c025f5c-85b7-4b98-bfd3-9427ed298f5b · inbound

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

A first-order method for constrained nonconvex-nonconcave minimax optimization Doubly Smoothed Optimistic Gradients: A Universal Approach for Smooth Minimax Problems

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T13:26:10.160510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.