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Paper Citation Record · LEDGER

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games

As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2505.19537.

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

pith.paper-citation-record.v1
2505.19537 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 2db6a8c9-0637-4fdb-ac30-045de42972df · outbound

This paper cites write newline.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games write newline

Reference 1

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Observation 8487cec3-e51b-41c0-afab-37de032a4eb8 · outbound

This paper cites Accelerating smooth games by manipulating spectral shapes.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Accelerating smooth games by manipulating spectral shapes

Reference 2

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Observation 8abc4a2d-f7e3-40cf-9109-d0eeb55bf719 · outbound

This paper cites P., Gidel, G., and Piliouras, G.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games P., Gidel, G., and Piliouras, G

Reference 3

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Observation 12822aa1-a7c9-446c-8481-839721c0f479 · outbound

This paper cites A Tutorial on Matrix Perturbation Theory (using compact matrix notation).

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games A Tutorial on Matrix Perturbation Theory (using compact matrix notation)

Reference 4

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Observation 90d7455d-fba4-49ab-acec-9d97be9bd112 · outbound

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Unresolved cited work

Reference 5

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Observation c7fddd65-5c33-4514-87fa-c38da97a0d79 · outbound

This paper cites Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise

Reference 6

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Observation 9697a326-f7a3-464f-a0a3-3b059b829c8c · outbound

This paper cites M., Orvieto, A., Kersting, H., Proske, F., and Lucchi, A.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games M., Orvieto, A., Kersting, H., Proske, F., and Lucchi, A

Reference 7

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Observation 08a6b370-a4dd-412f-9f50-a5299d57f0de · outbound

This paper cites Training GANs with Optimism.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Training GANs with Optimism

Reference 8

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Observation 6e84253f-e641-4b1f-80e4-8609d7b4a3e7 · outbound

This paper cites H., Nguyen, D., Nguyen, D., Harikumar, H., Tran, T., Rana, S., and Venkatesh, S.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games H., Nguyen, D., Nguyen, D., Harikumar, H., Tran, T., Rana, S., and Venkatesh, S

Reference 9

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Observation acadbb35-b8fa-440c-8748-0a48319bac96 · outbound

This paper cites Rapid learning in constrained minimax games with negative momentum.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Rapid learning in constrained minimax games with negative momentum

Reference 10

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Observation dd7f38c4-9f7d-4856-8d86-d95e255264da · outbound

This paper cites Prediction accuracy of learning in games: Follow-the-regularized-leader meets heisenberg.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Prediction accuracy of learning in games: Follow-the-regularized-leader meets heisenberg

Reference 11

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Observation fcc6a432-bb1b-4f58-9f08-7d7b7023f03d · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Sharpness-aware minimization for efficiently improving generalization

Reference 12

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Observation da54151d-efe0-4c44-8324-e5caf15f273f · outbound

This paper cites Implicit regularization in heavy-ball momentum accelerated stochastic gradient descent.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Implicit regularization in heavy-ball momentum accelerated stochastic gradient descent

Reference 13

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This paper cites A., Pezeshki, M., Le Priol, R., Huang, G., Lacoste-Julien, S., and Mitliagkas, I.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games A., Pezeshki, M., Le Priol, R., Huang, G., Lacoste-Julien, S., and Mitliagkas, I

Reference 14

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Observation 528622f4-1229-4add-becd-5213f7d08ea5 · outbound

This paper cites Why momentum really works.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Why momentum really works

Reference 15

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Observation 468b2ae9-eaed-4b41-8e60-1ecf22d27cf0 · outbound

This paper cites J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y

Reference 16

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Observation c03501b8-a008-441a-b720-e516604809ba · outbound

This paper cites Matrix Theory and Applications for Scientists and Engineers.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Matrix Theory and Applications for Scientists and Engineers

Reference 17

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Observation 1edcf77b-75a9-4649-901e-19facff81900 · outbound

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Unresolved cited work

Reference 18

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Observation c70c3e5d-9c9b-4b85-bad7-3ea827bb22cd · outbound

This paper cites Alternating Regret for Online Convex Optimization.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Alternating Regret for Online Convex Optimization

Reference 19

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Observation ed65c2bb-03d2-43d2-a591-afc3676191ea · outbound

This paper cites GAN s trained by a two time-scale update rule converge to a local N ash equilibrium.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games GAN s trained by a two time-scale update rule converge to a local N ash equilibrium

Reference 20

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Observation a54b86c3-e703-46d5-9337-18e0f7bab052 · outbound

This paper cites The limits of min-max optimization algorithms: Convergence to spurious non-critical sets.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games The limits of min-max optimization algorithms: Convergence to spurious non-critical sets

Reference 21

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Observation ef9f2111-0adc-431b-9d03-c85949d57081 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Adam: A Method for Stochastic Optimization

Reference 22

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Unresolved cited work

Reference 23

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Observation e2ecdda5-04a6-44a8-b624-7e969e2f5928 · outbound

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Unresolved cited work

Reference 24

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Observation f9e3a1c7-5bae-4647-a3b8-e8b08f8f07d8 · outbound

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Fundamental benefit of alternating updates in minimax optimization

Reference 25

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Observation 8aa79232-ee88-4afd-8c23-3a98878d700e · outbound

This paper cites D., Panageas, I., Piliouras, G., Simchowitz, M., Jordan, M.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games D., Panageas, I., Piliouras, G., Simchowitz, M., Jordan, M

Reference 26

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Observation e1f88007-027b-441e-abdc-d2f4fc6c738f · outbound

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Analysis and design of optimization algorithms via integral quadratic constraints

Reference 27

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Observation 8f6b0cb8-46d5-4884-980b-ca4884f67787 · outbound

This paper cites Differentiable game mechanics.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Differentiable game mechanics

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1ef0ad99-0b03-44ff-8713-d911bbb49d0c · outbound

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Stochastic modified equations and adaptive stochastic gradient algorithms

Reference 29

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Unavailable: canonical work link unavailable.

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Observation d17fa66b-c9a0-4936-aff1-dc7bd6275e66 · outbound

This paper cites Accelerated regularized learning in finite n-person games.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Accelerated regularized learning in finite n-person games

Reference 30

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Observation f4bc2845-5b24-4af7-906f-a7952be7b09d · outbound

This paper cites An o (sr)-resolution ode framework for understanding discrete-time algorithms and applications to the linear convergence of minimax problems.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games An o (sr)-resolution ode framework for understanding discrete-time algorithms and applications to the linear convergence of minimax problems

Reference 31

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Observation 45762b72-ac31-4745-ba99-9d65dbfd2433 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 32

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Unavailable: canonical work link unavailable.

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Observation e688e79d-857d-4d72-9759-a3b1fd6cdd9b · outbound

This paper cites Which training methods for GAN s do actually converge? In International Conference on Machine Learning, pp.\ 3481--3490.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Which training methods for GAN s do actually converge? In International Conference on Machine Learning, pp.\ 3481--3490

Reference 33

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Observation 75be3433-9610-413d-ab53-67b9a5add9d0 · outbound

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Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games and Jordan, M

Reference 34

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Observation b00eb4bc-340b-4d4b-a356-8b6660272ad8 · outbound

This paper cites and Jordan, M.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games and Jordan, M

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.253115Z digest=sha256:844390746ee59bf98b8ec7f9969523716538bdfe87d2db39eee86d694d50722c

Observation a244ac9a-cf66-4974-82a0-2f5a6129ef92 · outbound

This paper cites Local convergence of the heavy-ball method and i P iano for non-convex optimization.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Local convergence of the heavy-ball method and i P iano for non-convex optimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:28.992663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.257193Z digest=sha256:b2dd696466a205328e5505978cf8211d9c659fe0cdde2804700f5dffc3542ebd

Observation a995e61c-7f67-42fc-b216-7169fb0d0d04 · outbound

This paper cites and Candes, E.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games and Candes, E

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:28.789087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.261079Z digest=sha256:b332178b13b17f3e7f88e5ff9663909baf152d4d0ed987aad7c0af63170d8fc0

Observation f5abd3c5-e028-4786-aba1-212c5001f099 · outbound

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

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Stable nonconvex-nonconcave training via linear interpolation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:28.633310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.264755Z digest=sha256:5d7faf6f2fd25b2d57a16c4b14d53acd1f60f8ee1496833ec67ba91bccde6b10

Observation 8b7bd377-2446-49b8-b4a7-30a2ad7d2f62 · outbound

This paper cites an unresolved cited work.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:25.270742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:23:25.270742Z digest=sha256:f28eff3f736efb86922fc2a0d1e7d987ce4e7e0bb64c792a8ed5fbe56cfe67e0

Observation 869f9560-4da9-4778-a8d5-8606363a8a33 · outbound

This paper cites On the momentum term in gradient descent learning algorithms.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games On the momentum term in gradient descent learning algorithms

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:28.502704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.279561Z digest=sha256:2e22807eedf78b76ef5e3d1b27c8efec9e698645ff42b68114facad9b81d75e9

Observation 60a1c117-2f5b-47af-bdd8-867b6442566e · outbound

This paper cites J., Burden, S.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games J., Burden, S

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:28.345984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.292181Z digest=sha256:2cd376c04f9be86fc8cb6ca1760614aab8cc179c9946817e6e4649415c7348c7

Observation 1cf2a485-fd20-48c0-9038-3db49c02bf20 · outbound

This paper cites C., Wu, Y., Dherin, B., and Barrett, D.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games C., Wu, Y., Dherin, B., and Barrett, D

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:28.161707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.297531Z digest=sha256:ba9f228624b3a6d5d5c1e64c93ab560111ea7f8f9e2fc30bdb5f40e2a05b91a0

Observation c3c73305-2d15-4bc2-9868-d3536ec38609 · outbound

This paper cites Improved techniques for training gans.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Improved techniques for training gans

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:25.304039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:23:25.304039Z digest=sha256:117e9d13e2431dcc3a4e443371d8dc91edebb42d01f5d83ef4db474fa9264f50

Observation 2fff9162-875b-424e-9776-d5e48068f8b3 · outbound

This paper cites S., Jordan, M.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games S., Jordan, M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:27.982284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.311452Z digest=sha256:2a334bfa4b3add78a08dcd34fcf28b1125ccdf2a97cc9d0871674ee89db72785

Observation 82c40546-d05b-4003-b215-291064b880ef · outbound

This paper cites an unresolved cited work.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:23:27.799786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.317258Z digest=sha256:503ace29436f7a293ed32ebfe96512a719967f3ac2c7c80713c92c1057177678

Observation cd8a4823-54ba-4e15-8a46-87c464d72f25 · outbound

This paper cites On the importance of initialization and momentum in deep learning.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games On the importance of initialization and momentum in deep learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:27.600476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.325453Z digest=sha256:e0f54647a13ab415cb025005ce6e3bd4956287ef8615ff667a3ece21ebab1e31

Observation db7371ee-2dbe-422e-802e-cac3443cbb29 · outbound

This paper cites Improving generalization and stability of generative adversarial networks.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Improving generalization and stability of generative adversarial networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:27.394585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.334381Z digest=sha256:6a4e1d74296519eae7bc4ea02ba67f8c02b3bbdee1fc5d97ff16d0481298d4c6

Observation 35c0c7df-ceb4-481e-a128-d5c7fea568d0 · outbound

This paper cites and Chizat, L.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games and Chizat, L

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:27.208938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.342489Z digest=sha256:5c0e0edd59b007586766bfd6f7ddc4b1e8a18e208c5d9ef6bd51a561e8b40470

Observation 592602ab-d8c4-4cd0-af76-f6a1d5326936 · outbound

This paper cites Provable acceleration of heavy ball beyond quadratics for a class of P olyak- L ojasiewicz functions when the non-convexity is averaged-out.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Provable acceleration of heavy ball beyond quadratics for a class of P olyak- L ojasiewicz functions when the non-convexity is averaged-out

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:27.014310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.349855Z digest=sha256:0e785700caeb042f56672df5078313f380814bf117d154f86bdc9ce60dde88c5

Observation 218a2344-a3d9-481d-be71-594fe86d6f88 · outbound

This paper cites On the convergence and robustness of adversarial training.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games On the convergence and robustness of adversarial training

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:26.855252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.357628Z digest=sha256:ba5654ad1661e9b9cb98c71f0ff4fd607c4dcea3abe246a702c654d9fac06298

Observation 8fe68b5a-6246-47e0-968e-90a099ad47ea · outbound

This paper cites C., and Jordan, M.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games C., and Jordan, M

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:26.681665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.364719Z digest=sha256:b9a50ca596fd62a3068c9202f8555989f923061e54991aabd5dc7c6673b6c8d4

Observation e85e4265-db70-447f-a0f6-d90fa9ae1e73 · outbound

This paper cites Alternating mirror descent for constrained min-max games.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Alternating mirror descent for constrained min-max games

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:26.488975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.372586Z digest=sha256:fe463faab4cdd00d35a232ba01077b48d848fa94edf809b36aa64828f8d2e372

Observation ca8e73e1-93db-41ba-9dd4-1e3ff17e0fdb · outbound

This paper cites Gradient normalization for generative adversarial networks.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Gradient normalization for generative adversarial networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:26.314366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.380483Z digest=sha256:0d24284bbf7f98ca99d7a88971a6a7b127fb97711515c3638b02a01d9a088475

Observation 1dd07469-0926-4e44-8182-32aedb6bb5c0 · outbound

This paper cites Faster single-loop algorithms for minimax optimization without strong concavity.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Faster single-loop algorithms for minimax optimization without strong concavity

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:26.139376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.388248Z digest=sha256:f5e9523566ff90527f62eef348f27d9e718b1c90177c813b174453972455e2d6

Observation 553ff183-081f-49aa-8e7d-63b4622136aa · outbound

This paper cites and Wang, Y.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games and Wang, Y

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:25.995982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.398845Z digest=sha256:91fb83b3654bc5a8a057817b6641854a2d9f6c60957aed4ce37c168a00970518

Observation 6837e270-f101-4ff7-a600-037bfdab7e16 · outbound

This paper cites A unified analysis of first-order methods for smooth games via integral quadratic constraints.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games A unified analysis of first-order methods for smooth games via integral quadratic constraints

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:25.782684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.407610Z digest=sha256:081832755a9efddc4d4e6d929617c8affe52ceeb402c42fcb4282b9547af5962

Observation 57d64d32-052d-42b3-9971-d0988c0b79b7 · outbound

This paper cites an unresolved cited work.

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:23:25.635941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:23:25.414640Z digest=sha256:9b8d20c6a6584c9d15dd43abee0d2371ffa72802da08b3ac72adc586f5611422

Pith citing papers

No inbound Pith citation observations are available.