Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements | Paper Citation Record

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This paper cites SGD with shuffling: optimal rates without component convexity and large epoch requirements.Advances in Neural Information Processing Systems, 33:17526–17535, 2020.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements SGD with shuffling: optimal rates without component convexity and large epoch requirements.Advances in Neural Information Processing Systems, 33:17526–17535, 2020

Reference 1

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This paper cites Stochastic variance reduction for variational inequality methods.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic variance reduction for variational inequality methods

Reference 2

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This paper cites Arrow and Leonid Hurwicz.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Arrow and Leonid Hurwicz

Reference 3

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This paper cites A tight and unified analysis of gradient-based methods for a whole spectrum of differentiable games.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements A tight and unified analysis of gradient-based methods for a whole spectrum of differentiable games

Reference 4

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This paper cites Bauschke and Patrick L.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Bauschke and Patrick L

Reference 5

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This paper cites Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms

Reference 6

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This paper cites Smooth monotone stochastic variational inequalities and saddle point problems: A survey.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Smooth monotone stochastic variational inequalities and saddle point problems: A survey

Reference 7

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Observation e26b5dc7-b234-45c9-8d38-c392cfd63d4c · outbound

This paper cites Curiously fast convergence of some stochastic gradient descent algorithms.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Curiously fast convergence of some stochastic gradient descent algorithms

Reference 8

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Observation c2997f23-01b6-44d2-93af-ed37190844b4 · outbound

This paper cites Stochastic Halpern iteration with variance reduction for stochastic monotone inclusions.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic Halpern iteration with variance reduction for stochastic monotone inclusions

Reference 9

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This paper cites Variance reduction for matrix games.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Variance reduction for matrix games

Reference 10

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This paper cites Tighter lower bounds for shuffling SGD: Random permutations and beyond.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Tighter lower bounds for shuffling SGD: Random permutations and beyond

Reference 11

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Observation 96236bdb-4b5b-4ad5-b839-b1aaf6522061 · outbound

This paper cites Taming GANs with Lookahead-minmax.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Taming GANs with Lookahead-minmax

Reference 12

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Observation 11d7bd2e-26c4-42f2-ae6e-da988d75910f · outbound

This paper cites SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization

Reference 13

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This paper cites Single-call stochastic extragra- dient methods for structured non-monotone variational inequalities: Improved analysis under weaker conditions.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Single-call stochastic extragra- dient methods for structured non-monotone variational inequalities: Improved analysis under weaker conditions

Reference 14

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This paper cites Sampling without replacement leads to faster rates in finite-sum minimax optimization.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Sampling without replacement leads to faster rates in finite-sum minimax optimization

Reference 15

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Observation d0d4487b-75c3-4dfc-a55d-fd4302c37da9 · outbound

This paper cites On the ineffectiveness of variance reduced optimization for deep learning.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements On the ineffectiveness of variance reduced optimization for deep learning

Reference 16

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This paper cites an unresolved cited work.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 17

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This paper cites Stochastic extragradient with random reshuffling: Improved convergence for variational inequalities.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic extragradient with random reshuffling: Improved convergence for variational inequalities

Reference 18

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This paper cites Generative adversarial nets.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Generative adversarial nets

Reference 19

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This paper cites Stochastic extragradient: General analysis and improved rates.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic extragradient: General analysis and improved rates

Reference 20

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This paper cites Extragradient method: O(1/K) last- iterate convergence for monotone variational inequalities and connections with cocoercivity.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Extragradient method: O(1/K) last- iterate convergence for monotone variational inequalities and connections with cocoercivity

Reference 21

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This paper cites The landscape of the proximal point method for nonconvex–nonconcave minimax optimization.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements The landscape of the proximal point method for nonconvex–nonconcave minimax optimization

Reference 22

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This paper cites Fixed points of nonexpanding maps.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Fixed points of nonexpanding maps

Reference 23

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This paper cites Harris, K.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Harris, K

Reference 24

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This paper cites Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling

Reference 25

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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 26

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This paper cites Solving variational inequalities with stochastic mirror-prox algorithm.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Solving variational inequalities with stochastic mirror-prox algorithm

Reference 27

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This paper cites Consistency trajectory models: Learning probability flow ODE trajectory of diffusion.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Consistency trajectory models: Learning probability flow ODE trajectory of diffusion

Reference 28

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This paper cites Korpelevich.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Korpelevich

Reference 29

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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 30

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This paper cites Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity

Reference 31

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This paper cites GraB: Finding provably better data per- mutations than random reshuffling.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements GraB: Finding provably better data per- mutations than random reshuffling

Reference 32

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This paper cites Robert Mann.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Robert Mann

Reference 33

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This paper cites Regularisation d’inéquations variationelles par approximations succesives.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Regularisation d’inéquations variationelles par approximations succesives

Reference 34

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This paper cites Random reshuffling: Simple analysis with vast improvements.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Random reshuffling: Simple analysis with vast improvements

Reference 35

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This paper cites Revisiting stochastic extragradient.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Revisiting stochastic extragradient

Reference 36

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This paper cites Towards deep learning models resistant to adversarial attacks.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Towards deep learning models resistant to adversarial attacks

Reference 37

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This paper cites A unified analysis of extra-gradient and optimistic gradient methods for saddle point problems: Proximal point approach.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements A unified analysis of extra-gradient and optimistic gradient methods for saddle point problems: Proximal point approach

Reference 38

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This paper cites SGD without replacement: Sharper rates for general smooth convex functions.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements SGD without replacement: Sharper rates for general smooth convex functions

Reference 39

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This paper cites Lectures on convex optimization, volume 137 of Springer Optimization and Its Applications.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Lectures on convex optimization, volume 137 of Springer Optimization and Its Applications

Reference 40

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This paper cites Nguyen, Quoc Tran-Dinh, Dzung T.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Nguyen, Quoc Tran-Dinh, Dzung T

Reference 41

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This paper cites Solving stochastic weak Minty variational inequalities without increasing batch size.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Solving stochastic weak Minty variational inequalities without increasing batch size

Reference 42

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Observation d11cdd0c-bb27-4d42-ac7c-9c10d94c9059 · outbound

This paper cites Stable nonconvex-nonconcave training via linear interpolation.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stable nonconvex-nonconcave training via linear interpolation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.353347Z

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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 44

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Observation 688f693a-c15c-4723-bf83-2deb62d0fe02 · outbound

This paper cites Closing the convergence gap of SGD without replacement.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Closing the convergence gap of SGD without replacement

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.287554Z

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Observation 226abc26-a49e-4fe8-a4d4-69207e674ac1 · outbound

This paper cites Permutation-based SGD: Is random optimal? In International Conference on Learning Representations, 2022.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Permutation-based SGD: Is random optimal? In International Conference on Learning Representations, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.253794Z

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Observation 93ea3823-4b55-4856-b51c-fb5caff76386 · outbound

This paper cites Parallel stochastic gradient algorithms for large-scale matrix completion.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Parallel stochastic gradient algorithms for large-scale matrix completion

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This paper cites Generative modeling with optimal transport maps.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Generative modeling with optimal transport maps

Reference 48

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Observation 4283459f-fbb7-4faf-abbe-a6e3cdb57f66 · outbound

This paper cites How good is SGD with random shuffling? In Conference on Learning Theory, pages 3250–3284.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements How good is SGD with random shuffling? In Conference on Learning Theory, pages 3250–3284

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.186481Z

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Observation 52537485-4171-4f7b-b9ee-294cd4eb6b96 · outbound

This paper cites Random shuffling beats SGD only after many epochs on ill- conditioned problems.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Random shuffling beats SGD only after many epochs on ill- conditioned problems

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.164866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0094abb-8fa0-43f2-a013-4a4c3d5b0797 · outbound

This paper cites Solodov and Benar F.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Solodov and Benar F

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.139589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf844b8d-849c-4f2b-bef6-6a504351f745 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.115598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8aca27a3-e3aa-4d65-bbf2-3c5611e8d1fc · outbound

This paper cites Multi-agent reinforcement learning via double averaging primal-dual optimization.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Multi-agent reinforcement learning via double averaging primal-dual optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.089826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f40e06f3-31e5-4f42-ae53-b84900bacc00 · outbound

This paper cites an unresolved cited work.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:56:14.064426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ddfb53f3-017d-411d-b478-9982b4fc6d00 · outbound

This paper cites Open problem: Can single-shuffle SGD be better than reshuffling SGD and GD? In Conference on Learning Theory, pages 4653–4658.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Open problem: Can single-shuffle SGD be better than reshuffling SGD and GD? In Conference on Learning Theory, pages 4653–4658

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.040210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8c5873d-30ce-4b30-98b2-859e98d1247a · outbound

This paper cites averaged.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements averaged

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:14.020380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a0f831fc-4c9c-4128-b89e-5cf3ab0dddd7 · outbound

This paper cites star-monotone.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements star-monotone

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.993708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46d37ca0-11de-4459-92a0-ff2ac00fb244 · outbound

This paper cites an unresolved cited work.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:56:13.973671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ca3d0fb-42f8-427d-89e0-c7b335f6c835 · outbound

This paper cites convergence.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements convergence

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.951103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3706695-4448-403f-9c42-b3437a70b648 · outbound

This paper cites That is, the iterate moves away from the equilibrium in expectation.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements That is, the iterate moves away from the equilibrium in expectation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.927629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 670d075e-8af2-4f9b-ab1b-aa25a14834b8 · outbound

This paper cites That is, the expected squared distance shrinks but is lower bounded by a certain constant independent of the stepsizes.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements That is, the expected squared distance shrinks but is lower bounded by a certain constant independent of the stepsizes

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.906290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eaf5aa60-d5b0-4c8d-9045-fb9e7385e190 · outbound

This paper cites an unresolved cited work.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:56:13.881497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7280d2e8-4d54-44f1-9840-97ad55a28ac7 · outbound

This paper cites an unresolved cited work.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:56:13.864577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5c02aae-26f2-4364-a186-04a7bb127910 · outbound

This paper cites an unresolved cited work.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:56:13.842190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 393a07ba-4269-4430-bd6f-6089dde9520c · outbound

This paper cites large epoch.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements large epoch

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.819493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06c88094-9289-4925-8b65-bdd36c71b682 · outbound

This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.799651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 51044856-0e84-4687-95c8-9d33bf4c0db8 · outbound

This paper cites Limitations.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Limitations

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.780824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6409b953-fffa-468f-b110-4048a083d7d3 · outbound

This paper cites Full proofs of the theorems/lemmata/propositions can be found in the appendices.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Full proofs of the theorems/lemmata/propositions can be found in the appendices

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.753674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83e788e9-f887-4f3c-bfbc-7525878fabb2 · outbound

This paper cites We have also submitted the exact code that we used for our experiments as a supplemental material.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements We have also submitted the exact code that we used for our experiments as a supplemental material

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.734680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cf4b8b9-78f3-4b61-bf56-dd0b9c3052ae · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.717218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2dcbb8d8-6759-41b1-a22f-4cf6e917f2a3 · outbound

This paper cites The code we submit along with the paper is an exact copy of the one we used in the reported experiments, so the details not included in the paper shall be found in the code itself.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements The code we submit along with the paper is an exact copy of the one we used in the reported experiments, so the details not included in the paper shall be found in the code itself

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.696339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e05911b0-7f1b-4235-b2c3-84e9b64169ba · outbound

This paper cites an unresolved cited work.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:56:13.674310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9de75f82-adb9-4b99-a4f7-6ccfe98fd5a9 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper does not include experiments

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.649874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04b6ac3d-5ef8-4f47-8887-4dfb9383b173 · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.623882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b25a6dfb-96f3-45bd-834f-aeec3a97f971 · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.601788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98e3e035-7e77-4f8d-a682-84d631e6a671 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper poses no such risks

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.584736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4600413-fcb5-43b0-81d9-be894c0bafef · outbound

This paper cites No existing data nor models are used.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements No existing data nor models are used

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.568177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 257c0058-ede5-481d-b4c6-ef9a1a607bd9 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper does not release new assets

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.550171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 056507d7-5b1f-488f-9b57-995bb37f39ff · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:13.449780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde905e5-3904-4859-8517-0f6cf836edae · outbound

This paper cites Guidelines: 79 • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: 79 • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:13.521811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf695aad-011d-431b-9564-afc896ff8ff0 · outbound

This paper cites of Calif.

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements of Calif

Reference 1956

Resolution: parse uncertain; raw_fallback, observed 2026-08-10T22:56:15.085206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers