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Paper Citation Record · LEDGER

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.11056.

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

pith.paper-citation-record.v1
2607.11056 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T07:22:06.889795Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1553e211-76f7-48ab-a018-778f2ab751e3 · outbound

This paper cites Alacaoglu and J.-H.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Alacaoglu and J.-H

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:ace5d8a42f49192d43ac80f060351f7197378b7483dea5a0727e44241a7d2595

Observation 2629c282-a026-41c7-8288-0d83fe1b8a3f · outbound

This paper cites Towards Weaker Variance Assumptions for Stochastic Optimization.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Towards Weaker Variance Assumptions for Stochastic Optimization

Reference 2

Resolution
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source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:a828c9cfd6a9c4e07648727ff4007a0de2560893591920d75ba3b0cf6253ab13

Observation bec755a7-7112-40e8-a50c-1a8096b5268b · outbound

This paper cites Last-Iterate Convergence of Anchored Gradient Descent.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Last-Iterate Convergence of Anchored Gradient Descent

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T07:22:06.889795Z

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source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:ab9a2cb16d890844d1f446289656d3af0a828dbda3c1fbb1e82880968383e75d

Observation 88f4caf0-f910-4da8-a745-14054111d42f · outbound

This paper cites Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:64b40ccf878bb35356dc9a0e9b20a231eca18da6b2fbe4acfb7e8d0e6f41fb9c

Observation 9aaa7831-6086-435e-9d7a-02ea46962489 · outbound

This paper cites Mertikopoulos, B.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Mertikopoulos, B

Reference 5

Resolution
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no resolver link, observed 2026-07-14T07:22:06.889795Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:14c7e27a59ae77ce6d6a73b6295a190d9c99f8091859dac2c95c18d0b32f4704

Observation 6344f254-a29e-4b17-b76e-4d04d74176f0 · outbound

This paper cites ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems

Reference 6

Resolution
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no resolver link, observed 2026-07-14T07:22:06.889795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:18675ae882f72eb05c080b7a4508af21258263dfa02e428dd6800016fa9ae791

Observation 0b7515ea-1446-4581-b660-11959440878b · outbound

This paper cites Accelerated and Stable Convergence with Anchored Generalized Optimistic Method.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Accelerated and Stable Convergence with Anchored Generalized Optimistic Method

Reference 7

Resolution
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source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:83786da703da78d3fb10fb7c36483bea3759717ae52c27633230bfb5590cc577

Observation f28a7b7f-70ba-44aa-8a92-7432481c4256 · outbound

This paper cites An Improved Last-Iterate Convergence Rate for Anchored Gradient Descent Ascent.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems An Improved Last-Iterate Convergence Rate for Anchored Gradient Descent Ascent

Reference 8

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source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:b79af9077a2694d8f8c0f9be9ded5e8611891987dcc8a91cfde070683dbc6733

Observation 6382f596-daf8-44da-8ff8-a8074ea28418 · outbound

This paper cites Vankov , A.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Vankov , A

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:33daca8f7bd0c0bfd9e5ef3b8f2e37656dfc5dc8213b9ddc187c5a4ad8f65632

Observation 92dbda63-3165-451b-897c-0b3d2e750484 · outbound

This paper cites Local convergence.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Local convergence

Reference 10

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source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:a8289612cac660248ff70f4019de0c64afcd5376063eaee8d2df5e8c1bc375b0

Observation 1417e093-9eef-48b0-9b57-f49f1fab0efa · outbound

This paper cites Ito et al.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems Ito et al

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:1d60dc6a1330bc728db225fa6e17864c94b33a7c888dc6722ff8a2d1651bc5ed

Observation e47030d1-777c-4604-b597-a404f65b9222 · outbound

This paper cites B Useful Lemmas We first collect several auxiliary results that will be used th roughout the analysis.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems B Useful Lemmas We first collect several auxiliary results that will be used th roughout the analysis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T07:22:06.889795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:fb4391e0d916c924013d84b217c10daae9a9f48a7faa7b7eb0cfa72fd9d342ae

Observation c0775fa0-e2a4-4ee8-b182-9f27f22d2b96 · outbound

This paper cites The second cla im follows from b ≥ 3 and elementary comparisons between T + b− 2 and T + b.

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems The second cla im follows from b ≥ 3 and elementary comparisons between T + b− 2 and T + b

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T07:22:06.889795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:22:06.889795Z digest=sha256:55250c465622626573ce4abfd9663316d580a658bf569966ab18973f45174bb8

Pith citing papers

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