Paper Citation Record · LEDGER

Dimension-adapted Momentum Outscales SGD

As of 15 August 2026, this Paper Citation Record lists 100 of 138 outbound references and 5 inbound Pith citation observations for arXiv:2505.16098.

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

pith.paper-citation-record.v1
2505.16098 v1

Coverage vector

measured 100 of 138 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:15.164885Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:20:10.337814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:07.503096Z

Reference resolution

100 of 138 outbound references displayed

verified exact5
verified fuzzy15
unresolved80
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External citation measurements

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Outbound references

Observation 135d7407-2e46-4b23-95ae-82ae0c12539f · outbound

This paper cites an unresolved cited work.

Dimension-adapted Momentum Outscales SGD Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:08.527123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3083f2-db48-4dc8-a915-e94f9f8a4526 · outbound

This paper cites Katyusha: The first direct acceleration of stochastic gradient methods.The Journal of Machine Learning Research, 18(1):8194–8244, 2017.

Dimension-adapted Momentum Outscales SGD Katyusha: The first direct acceleration of stochastic gradient methods.The Journal of Machine Learning Research, 18(1):8194–8244, 2017

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:08.576915Z

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Observation cd054e22-f13c-4563-b0b7-1aace20353dd · outbound

This paper cites Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent.

Dimension-adapted Momentum Outscales SGD Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:08.694344Z

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Observation 9f972708-9958-4532-961e-931db2e1ccf0 · outbound

This paper cites From high-dimensional & mean-field dynamics to dimensionless odes: A unifying approach to sgd in two-layers networks.

Dimension-adapted Momentum Outscales SGD From high-dimensional & mean-field dynamics to dimensionless odes: A unifying approach to sgd in two-layers networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:08.767724Z

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Observation a3f8aae9-6e33-4e9f-8243-142f6d0d7755 · outbound

This paper cites Springer, 2003.

Dimension-adapted Momentum Outscales SGD Springer, 2003

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:08.841165Z

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Observation 8c03353e-8ee7-4b72-8f47-120441cdf4a6 · outbound

This paper cites On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings.

Dimension-adapted Momentum Outscales SGD On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:08.926945Z

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Observation 526148f6-bb78-4f65-b3de-8afaf67c239f · outbound

This paper cites Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models.

Dimension-adapted Momentum Outscales SGD Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.010950Z

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Observation e4cc7151-1178-42a3-8677-d51be66258a4 · outbound

This paper cites Courier Corporation, 2004.

Dimension-adapted Momentum Outscales SGD Courier Corporation, 2004

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.079607Z

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Observation 462a3f89-3288-4fb6-87fc-4a29acc82343 · outbound

This paper cites Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions.SIAM Journal on Optimization, 30(1):717– 751, 2020.

Dimension-adapted Momentum Outscales SGD Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions.SIAM Journal on Optimization, 30(1):717– 751, 2020

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.110884Z

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Observation 650080e0-5667-4d06-9503-018e49422a33 · outbound

This paper cites High-dimensional analysis of double descent for linear regression with random projections.

Dimension-adapted Momentum Outscales SGD High-dimensional analysis of double descent for linear regression with random projections

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.164143Z

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Observation 1f55e450-1b5b-418e-b8dc-222f45f8412a · outbound

This paper cites Explaining neural scaling laws.Proc.

Dimension-adapted Momentum Outscales SGD Explaining neural scaling laws.Proc

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.234465Z

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Observation 77e74779-7a35-47b5-a7f7-2bd72e9e8398 · outbound

This paper cites Springer, 2010.

Dimension-adapted Momentum Outscales SGD Springer, 2010

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.333488Z

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Observation 44a1d67d-5c64-4366-9fea-478d1d18c20d · outbound

This paper cites Crowdsourcing with enhanced data quality assurance: An efficient approach to mitigate resource scarcity challenges in training large language models for healthcare.

Dimension-adapted Momentum Outscales SGD Crowdsourcing with enhanced data quality assurance: An efficient approach to mitigate resource scarcity challenges in training large language models for healthcare

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.392838Z

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Observation 9e19fb14-41e6-4611-a6ca-3176d1904428 · outbound

This paper cites Bartlett, Philip M.

Dimension-adapted Momentum Outscales SGD Bartlett, Philip M

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.473339Z

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Observation a2385f8f-3166-4e02-83ca-6c2623cf1d67 · outbound

This paper cites On the fast convergence of minibatch heavy ball momentum.IMA Journal of Numerical Analysis, page drae033, 08 2024.

Dimension-adapted Momentum Outscales SGD On the fast convergence of minibatch heavy ball momentum.IMA Journal of Numerical Analysis, page drae033, 08 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.521953Z

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Observation 1819c13f-b5d5-425e-b31f-754e6daa4334 · outbound

This paper cites A Dynamical Model of Neural Scaling Laws.

Dimension-adapted Momentum Outscales SGD A Dynamical Model of Neural Scaling Laws

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.592264Z

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Observation 10a4aa30-3857-4a5f-bf1c-0938f3b93a6d · outbound

This paper cites How Feature Learning Can Improve Neural Scaling Laws .International Conference on Learning Representations (ICLR), 2025.

Dimension-adapted Momentum Outscales SGD How Feature Learning Can Improve Neural Scaling Laws .International Conference on Learning Representations (ICLR), 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.664313Z

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Observation 2b87434e-c18b-41af-a5fb-a759f34c540e · outbound

This paper cites On ill-posed problems and the method of conjugate gradients.

Dimension-adapted Momentum Outscales SGD On ill-posed problems and the method of conjugate gradients

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.737834Z

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Observation aea1b5b3-5a87-4445-982f-2370de10eb40 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Dimension-adapted Momentum Outscales SGD Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.824962Z

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Observation 7000e894-ed7b-40f7-aae5-5fad5c4ae2d3 · outbound

This paper cites Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances.

Dimension-adapted Momentum Outscales SGD Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.879637Z

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Observation 7e3d9de1-ae97-494e-bda8-6b3e69108bf5 · outbound

This paper cites Optimal rates for the regularized least-squares algorithm.

Dimension-adapted Momentum Outscales SGD Optimal rates for the regularized least-squares algorithm

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:09.975511Z

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Observation de3d30bf-5114-4c5f-a072-52ee848a8a01 · outbound

This paper cites Learning with sgd and random features.

Dimension-adapted Momentum Outscales SGD Learning with sgd and random features

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.055752Z

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Observation c7787e8a-a1e4-4778-b4e4-08c33044e72e · outbound

This paper cites Dimension free ridge regression.

Dimension-adapted Momentum Outscales SGD Dimension free ridge regression

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.125690Z

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Observation a41fc781-f9d5-409c-a1a2-f831ff7bc930 · outbound

This paper cites Coddington and Norman Levinson.Theory of ordinary differential equations.

Dimension-adapted Momentum Outscales SGD Coddington and Norman Levinson.Theory of ordinary differential equations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.170892Z

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Observation ac9b2793-f9a0-4e7a-b954-6bd20fd7f1c7 · outbound

This paper cites Hitting the high-dimensional notes: an ODE for SGD learning dynamics on GLMs and multi-index models.Inf.

Dimension-adapted Momentum Outscales SGD Hitting the high-dimensional notes: an ODE for SGD learning dynamics on GLMs and multi-index models.Inf

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.227001Z

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Observation 790518d9-d364-449e-88da-93c67eb14a99 · outbound

This paper cites The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms.

Dimension-adapted Momentum Outscales SGD The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.307710Z

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Observation f7c0427a-6e67-4d3d-b310-bf1cbc3046a6 · outbound

This paper cites Cambridge University Press, 2022.

Dimension-adapted Momentum Outscales SGD Cambridge University Press, 2022

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.366249Z

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Observation 90b77e17-5eb8-41a6-8aa7-2cc1ae107f05 · outbound

This paper cites Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime.Advances in Neural Information Processing Systems (NeurIPS), 34, 2021.

Dimension-adapted Momentum Outscales SGD Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime.Advances in Neural Information Processing Systems (NeurIPS), 34, 2021

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.426401Z

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Observation 87444500-5974-48eb-ac00-467802c81d47 · outbound

This paper cites (Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum.Transactions on Machine Learning Research (TMLR), 2025.

Dimension-adapted Momentum Outscales SGD (Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum.Transactions on Machine Learning Research (TMLR), 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.472734Z

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Observation f00fa926-2e61-4409-903f-5bce04aedc06 · outbound

This paper cites On the interplay between data structure and loss function in classification problems.Advances in Neural Information Processing Systems (NeurIPS), 34:8506–8517, 2021.

Dimension-adapted Momentum Outscales SGD On the interplay between data structure and loss function in classification problems.Advances in Neural Information Processing Systems (NeurIPS), 34:8506–8517, 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.526543Z

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Observation 348f4f41-1af2-4b44-98c2-da15f3a1eff7 · outbound

This paper cites The DeepMind JAX Ecosystem.http://github.com/google-deepmind, 2020.

Dimension-adapted Momentum Outscales SGD The DeepMind JAX Ecosystem.http://github.com/google-deepmind, 2020

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.624618Z

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Observation e0f9cfc1-ed8f-4e5e-90dc-4799a4aa70f9 · outbound

This paper cites The Road Less Scheduled.

Dimension-adapted Momentum Outscales SGD The Road Less Scheduled

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.713595Z

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Observation 92442c35-2fa5-4657-ab2b-994eca8d95c4 · outbound

This paper cites Dimension-free deterministic equiva- lents and scaling laws for random feature regression.

Dimension-adapted Momentum Outscales SGD Dimension-free deterministic equiva- lents and scaling laws for random feature regression

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.793847Z

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Observation 58af36ce-541e-4f04-b485-99986b505d88 · outbound

This paper cites Optimal Distributed Online Prediction Using Mini-Batches.Journal of Machine Learning Research (JMLR), 13(1), 2012.

Dimension-adapted Momentum Outscales SGD Optimal Distributed Online Prediction Using Mini-Batches.Journal of Machine Learning Research (JMLR), 13(1), 2012

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.877038Z

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Observation a87f1d43-518a-4ed4-9935-8f9b44edd404 · outbound

This paper cites Nonparametric stochastic approximation with large step-sizes.

Dimension-adapted Momentum Outscales SGD Nonparametric stochastic approximation with large step-sizes

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:10.935650Z

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Observation 21249281-31f1-444b-b491-55a492c5b1fb · outbound

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Dimension-adapted Momentum Outscales SGD Unresolved cited work

Reference 36

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Observation 74af29cc-1f9f-4140-b092-7a5de1bd12a4 · outbound

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Dimension-adapted Momentum Outscales SGD Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.089930Z

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Observation d166a2d0-48fc-4837-a036-9193b156bb76 · outbound

This paper cites Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms.

Dimension-adapted Momentum Outscales SGD Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.132857Z

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Observation 8924603d-bb9f-40c8-af38-93258402db7c · outbound

This paper cites Scaling Exponents Across Parameterizations and Optimizers.

Dimension-adapted Momentum Outscales SGD Scaling Exponents Across Parameterizations and Optimizers

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.182001Z

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Observation 93452301-bea5-44a9-bc7f-c061c3da20ed · outbound

This paper cites From Averaging to Acceleration, There is Only a Step-size.

Dimension-adapted Momentum Outscales SGD From Averaging to Acceleration, There is Only a Step-size

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.222216Z

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Observation d1d87dba-f7a8-4a31-a705-74e48f03bfc5 · outbound

This paper cites Stochastic Heavy Ball.

Dimension-adapted Momentum Outscales SGD Stochastic Heavy Ball

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:12:20.850939Z

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Observation 50c41e64-a2f8-49cb-8e95-025f260656cb · outbound

This paper cites Rigorous dynamical mean-field theory for stochastic gradient descent methods.SIAM Journal on Mathematics of Data Science, 6(2):400–427, 2024.

Dimension-adapted Momentum Outscales SGD Rigorous dynamical mean-field theory for stochastic gradient descent methods.SIAM Journal on Mathematics of Data Science, 6(2):400–427, 2024

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.344746Z

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Observation 0d2727dc-b4d1-4586-b0b9-dbd08e96a619 · outbound

This paper cites Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization I: A generic algorithmic framework.SIAM J.

Dimension-adapted Momentum Outscales SGD Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization I: A generic algorithmic framework.SIAM J

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.467818Z

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Observation fdbe9b44-19ee-4ba2-8b10-7f80e28d118e · outbound

This paper cites Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization, II: Shrinking procedures and optimal algorithms.SIAM J.

Dimension-adapted Momentum Outscales SGD Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization, II: Shrinking procedures and optimal algorithms.SIAM J

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.518856Z

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Observation f5dd253b-ad3f-4f1b-ac87-bda8888def06 · outbound

This paper cites On the resolvents of nonconvolution Volterra kernels.Funkcial.

Dimension-adapted Momentum Outscales SGD On the resolvents of nonconvolution Volterra kernels.Funkcial

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.548955Z

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Observation 7e2d3e58-0686-40e9-8ad9-b2419e1308a3 · outbound

This paper cites Siegel, and Stephan Wojtowytsch.

Dimension-adapted Momentum Outscales SGD Siegel, and Stephan Wojtowytsch

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.591130Z

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Observation 917ab0be-184d-4a63-ae8e-6b06198a0975 · outbound

This paper cites Deterministic equivalents for certain functionals of large random matrices.Ann.

Dimension-adapted Momentum Outscales SGD Deterministic equivalents for certain functionals of large random matrices.Ann

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.639226Z

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Observation a4ed0afd-719f-41f5-89ac-e0ad58ac7675 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Dimension-adapted Momentum Outscales SGD Deep Learning Scaling is Predictable, Empirically

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.702952Z

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Observation a5df0178-1a81-4547-94e9-507b09eb407a · outbound

This paper cites Long short-term memory.Neural computation, 9(8):1735– 1780, 1997.

Dimension-adapted Momentum Outscales SGD Long short-term memory.Neural computation, 9(8):1735– 1780, 1997

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Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.792938Z

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Observation 09a72713-82a4-4a73-b826-0d02955031ea · outbound

This paper cites An empirical analysis of compute-optimal large language model training.

Dimension-adapted Momentum Outscales SGD An empirical analysis of compute-optimal large language model training

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.854988Z

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Observation c3d20e83-e61e-4c22-b254-495fdcce2470 · outbound

This paper cites Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime.

Dimension-adapted Momentum Outscales SGD Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.889425Z

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Observation b9ca4e24-e1ec-4fbc-bd40-01b2b1fd814b · outbound

This paper cites Accelerating Stochastic Gradient Descent for Least Squares Regression.

Dimension-adapted Momentum Outscales SGD Accelerating Stochastic Gradient Descent for Least Squares Regression

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:11.956822Z

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Observation 27aaf3e1-a0fe-48c2-a9c6-31b6fa71ae0c · outbound

This paper cites Exploring the Limits of Language Modeling.

Dimension-adapted Momentum Outscales SGD Exploring the Limits of Language Modeling

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.031145Z

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Observation f48f75ad-cd49-42ec-bdfd-e016d1531285 · outbound

This paper cites Scaling Laws for Neural Language Models.

Dimension-adapted Momentum Outscales SGD Scaling Laws for Neural Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.115991Z

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Observation 44ca49ad-4458-4678-a80c-40aa0f5b67d6 · outbound

This paper cites On the Insufficiency of Existing Momentum Schemes for Stochastic Optimization.

Dimension-adapted Momentum Outscales SGD On the Insufficiency of Existing Momentum Schemes for Stochastic Optimization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.196547Z

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Observation d1c0c5a0-cde5-4c46-8efa-b7483f067e54 · outbound

This paper cites Adam: A method for stochastic optimization.International Conference on Learning Representations (ICLR), 2015.

Dimension-adapted Momentum Outscales SGD Adam: A method for stochastic optimization.International Conference on Learning Representations (ICLR), 2015

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.275151Z

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Observation a8653e32-f538-4173-aeeb-1fecf1bfae3c · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Dimension-adapted Momentum Outscales SGD SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.331233Z

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Observation 9c76b7e3-52eb-40cd-af19-d71941e38dd4 · outbound

This paper cites A Generic Acceleration Framework for Stochastic Composite Optimization.

Dimension-adapted Momentum Outscales SGD A Generic Acceleration Framework for Stochastic Composite Optimization

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Observation e1fb9b7c-1016-4c56-8781-2c078332e103 · outbound

This paper cites A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case.

Dimension-adapted Momentum Outscales SGD A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case

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Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.492599Z

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Observation 5159dc25-5322-41be-a2c4-5b5d25608b1f · outbound

This paper cites Trajectory of mini-batch momentum: batch size saturation and convergence in high dimensions.Advances in Neural Information Processing Systems (NeurIPS), 35:36944–36957, 2022.

Dimension-adapted Momentum Outscales SGD Trajectory of mini-batch momentum: batch size saturation and convergence in high dimensions.Advances in Neural Information Processing Systems (NeurIPS), 35:36944–36957, 2022

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Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.558599Z

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Observation ddb9b113-f8f5-4485-af76-c1c6b863ce7b · outbound

This paper cites Risk Bounds of Accelerated SGD for Overparameterized Linear Regression.

Dimension-adapted Momentum Outscales SGD Risk Bounds of Accelerated SGD for Overparameterized Linear Regression

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Resolution: verified exact; local_arxiv, observed 2026-08-07T15:12:20.612228Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 852ad403-c7e9-4df9-81d7-649f7e54efc6 · outbound

This paper cites A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent.

Dimension-adapted Momentum Outscales SGD A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent

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Resolution: verified exact; local_arxiv, observed 2026-08-07T15:12:20.425938Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 053ca2cf-fcc8-4ea1-aa0f-45b7e3a37dac · outbound

This paper cites Kakade, Peter L.

Dimension-adapted Momentum Outscales SGD Kakade, Peter L

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.753963Z

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Observation 9a357859-210e-41cf-842c-84b57ef82f5d · outbound

This paper cites Accelerating SGD with momentum for over-parameterized learning.

Dimension-adapted Momentum Outscales SGD Accelerating SGD with momentum for over-parameterized learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.805747Z

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Observation ec817234-2db1-430c-b069-b3f92cd2387c · outbound

This paper cites Liu, Roman Novak, Jaehoon Lee, Mitchell Wortsman, Lechao Xiao, Katie Everett, Alexander A.

Dimension-adapted Momentum Outscales SGD Liu, Roman Novak, Jaehoon Lee, Mitchell Wortsman, Lechao Xiao, Katie Everett, Alexander A

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.834325Z

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Observation 7fbbc842-53b4-430d-9c47-7e925129935c · outbound

This paper cites Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition.

Dimension-adapted Momentum Outscales SGD Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:12:20.139288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5c9818a-74f5-4015-a8fa-0ef5e3521dc9 · outbound

This paper cites Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods.Comput.

Dimension-adapted Momentum Outscales SGD Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods.Comput

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Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.896773Z

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Observation 0b454634-09f7-43e0-a13a-46ef805a4678 · outbound

This paper cites Learning curves of generic features maps for realistic datasets with a teacher-student model.Advances in Neural Information Processing Systems (NeurIPS), 34:18137–18151, 2021.

Dimension-adapted Momentum Outscales SGD Learning curves of generic features maps for realistic datasets with a teacher-student model.Advances in Neural Information Processing Systems (NeurIPS), 34:18137–18151, 2021

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.924813Z

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Observation f0eff303-0a79-4b5f-8810-45bc0ad8a5f2 · outbound

This paper cites A Solvable Model of Neural Scaling Laws.

Dimension-adapted Momentum Outscales SGD A Solvable Model of Neural Scaling Laws

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:12.952767Z

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Observation 0564592b-6aeb-4422-a246-903804105d8e · outbound

This paper cites An Empirical Model of Large-Batch Training.

Dimension-adapted Momentum Outscales SGD An Empirical Model of Large-Batch Training

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.002974Z

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Observation 1fa36a36-80c2-4131-aa76-98d55d5d16e8 · outbound

This paper cites The generalization error of random features regression: Precise asymptotics and the double descent curve.Communications on Pure and Applied Mathematics, 75(4):667–766, 2022.

Dimension-adapted Momentum Outscales SGD The generalization error of random features regression: Precise asymptotics and the double descent curve.Communications on Pure and Applied Mathematics, 75(4):667–766, 2022

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.026255Z

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Observation a3cf97ad-e2d2-4aa4-8540-793666d902a5 · outbound

This paper cites Anisotropic random feature regression in high dimensions.

Dimension-adapted Momentum Outscales SGD Anisotropic random feature regression in high dimensions

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.069131Z

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Observation 6f9e2bb9-eab8-45bf-99ca-c4ae33ed39ad · outbound

This paper cites Connections between Schedule-Free Optimizers, AdEMAMix, and Accelerated SGD Variants.

Dimension-adapted Momentum Outscales SGD Connections between Schedule-Free Optimizers, AdEMAMix, and Accelerated SGD Variants

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.131802Z

Source-reported events for the cited work

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Observation f1acd3e5-95d2-4e0d-be42-e42c917f542f · outbound

This paper cites an unresolved cited work.

Dimension-adapted Momentum Outscales SGD Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:12:31.391972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8f40a6a2-8f2f-4f2f-a624-4762c0f8e9ad · outbound

This paper cites Springer, 2004.

Dimension-adapted Momentum Outscales SGD Springer, 2004

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.197630Z

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Observation 17281a23-901b-431b-9b98-601a6c53c8b0 · outbound

This paper cites The Role of Memory in Stochastic Optimization.

Dimension-adapted Momentum Outscales SGD The Role of Memory in Stochastic Optimization

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:31.152731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b5b3379-0054-4b11-a828-1934b8148ae4 · outbound

This paper cites SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality.

Dimension-adapted Momentum Outscales SGD SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.270556Z

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Observation 40dd3cbe-f1e1-4cb5-b94c-1215bf77e574 · outbound

This paper cites Dynamics of stochastic momentum methods on large-scale, quadratic models.Advances in Neural Information Processing Systems (NeurIPS), 34:9229–9240, 2021.

Dimension-adapted Momentum Outscales SGD Dynamics of stochastic momentum methods on large-scale, quadratic models.Advances in Neural Information Processing Systems (NeurIPS), 34:9229–9240, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:30.912642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a90cde5-1b9b-43b0-bb7b-8309618bf4c7 · outbound

This paper cites Homogenization of SGD in high-dimensions: Exact dynamics and generalization properties.

Dimension-adapted Momentum Outscales SGD Homogenization of SGD in high-dimensions: Exact dynamics and generalization properties

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.351237Z

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Observation f0ff3332-5124-4878-b902-c01cf276292e · outbound

This paper cites 4+3 Phases of Compute- Optimal Neural Scaling Laws.

Dimension-adapted Momentum Outscales SGD 4+3 Phases of Compute- Optimal Neural Scaling Laws

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:30.621066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 737976b7-4bf5-4059-bbcb-55ed4fb19100 · outbound

This paper cites Statistical optimality of stochastic gradient descent on hard learning problems through multiple passes.Advances in Neural Information Processing Systems (NeurIPS), 31, 2018.

Dimension-adapted Momentum Outscales SGD Statistical optimality of stochastic gradient descent on hard learning problems through multiple passes.Advances in Neural Information Processing Systems (NeurIPS), 31, 2018

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Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.501661Z

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Observation 004d037a-1373-4d55-9a63-488ea162624e · outbound

This paper cites an unresolved cited work.

Dimension-adapted Momentum Outscales SGD Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.547316Z

Source-reported events for the cited work

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Observation 44f3b326-0904-4cd7-89d8-fb0b1f9453d8 · outbound

This paper cites Resolving Discrepancies in Compute-Optimal Scaling of Language Models.

Dimension-adapted Momentum Outscales SGD Resolving Discrepancies in Compute-Optimal Scaling of Language Models

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:30.411915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bca4adeb-9671-435b-b112-fa47a97f5fa2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

Dimension-adapted Momentum Outscales SGD Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.741983Z

Source-reported events for the cited work

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Observation 2ff89abe-ac04-4103-96ae-0b8d61779263 · outbound

This paper cites Generalization properties of learning with random features.

Dimension-adapted Momentum Outscales SGD Generalization properties of learning with random features

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:30.160450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da9a3bf2-2b7b-4c54-a4cf-ae3d2b390b60 · outbound

This paper cites Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball.

Dimension-adapted Momentum Outscales SGD Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:29.911458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7476da7-977f-4d7a-80f9-eb68268aaa3b · outbound

This paper cites Shallue, J.

Dimension-adapted Momentum Outscales SGD Shallue, J

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:29.697320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04779a5a-4676-4426-b882-3889dc35c8ea · outbound

This paper cites Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes.

Dimension-adapted Momentum Outscales SGD Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:14.134729Z

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Observation f1c1bf81-5dc2-46bc-9fd5-1c3f213da4b7 · outbound

This paper cites Scaling Laws from the Data Manifold Dimension.Journal of Machine Learning Research (JMLR), 23(9):1–34, 2022.

Dimension-adapted Momentum Outscales SGD Scaling Laws from the Data Manifold Dimension.Journal of Machine Learning Research (JMLR), 23(9):1–34, 2022

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:29.472616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 924cc582-c9b3-413e-bde0-820d311f6044 · outbound

This paper cites On the empirical distribution of eigenvalues of a class of large dimensional random matrices.Journal of Multivariate analysis, 54(2):175–192, 1995.

Dimension-adapted Momentum Outscales SGD On the empirical distribution of eigenvalues of a class of large dimensional random matrices.Journal of Multivariate analysis, 54(2):175–192, 1995

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Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:14.344996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eea8b76-a2cd-4b0e-add9-05caa17752ba · outbound

This paper cites Simon, Dhruva Karkada, Nikhil Ghosh, and Mikhail Belkin.

Dimension-adapted Momentum Outscales SGD Simon, Dhruva Karkada, Nikhil Ghosh, and Mikhail Belkin

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:29.321907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dd0133e4-f898-4aba-b79a-ba895ba901ba · outbound

This paper cites an unresolved cited work.

Dimension-adapted Momentum Outscales SGD Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:12:29.141930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ccf918c-11fa-4acc-80cc-78ec84093e4b · outbound

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

Dimension-adapted Momentum Outscales SGD On the importance of initialization and momentum in deep learning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:28.875096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07a5a365-add0-4146-9573-b58485d9b9bb · outbound

This paper cites Accelerated sgd for non-strongly-convex least squares.

Dimension-adapted Momentum Outscales SGD Accelerated sgd for non-strongly-convex least squares

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:28.676049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 946bd2b3-490b-42d0-a693-83bce87abccb · outbound

This paper cites Last iterate convergence of SGD for Least-Squares in the Interpolation regime.

Dimension-adapted Momentum Outscales SGD Last iterate convergence of SGD for Least-Squares in the Interpolation regime

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:28.393259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56854e95-7532-46c1-b2a4-5a93d425c62f · outbound

This paper cites Fast and Faster Convergence of SGD for Over- Parameterized Models and an Accelerated Perceptron.

Dimension-adapted Momentum Outscales SGD Fast and Faster Convergence of SGD for Over- Parameterized Models and an Accelerated Perceptron

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:28.207439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4612b370-df80-40a7-9d47-d1e2a4e3af3a · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Dimension-adapted Momentum Outscales SGD Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:14.992638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a48e64-08ec-4a3a-af88-c318190e731b · outbound

This paper cites Re-examining Double Descent and Scal- ing Laws under Norm-based Capacity via Deterministic Equivalence.arXiv preprint arXiv:2502.01585, 2025.

Dimension-adapted Momentum Outscales SGD Re-examining Double Descent and Scal- ing Laws under Norm-based Capacity via Deterministic Equivalence.arXiv preprint arXiv:2502.01585, 2025

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Resolution: verified exact; raw_fallback, observed 2026-08-07T15:12:19.859626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6b2e15e-b637-493a-8a6f-0431bb7db6d5 · outbound

This paper cites A variational perspective on accelerated methods in optimization.proceedings of the National Academy of Sciences, 113(47):E7351–E7358, 2016.

Dimension-adapted Momentum Outscales SGD A variational perspective on accelerated methods in optimization.proceedings of the National Academy of Sciences, 113(47):E7351–E7358, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:28.007177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 689c7404-5308-42fd-b8be-6aa24e82590a · outbound

This paper cites Small-scale proxies for large-scale Transformer training instabilities.

Dimension-adapted Momentum Outscales SGD Small-scale proxies for large-scale Transformer training instabilities

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:12:27.820816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 44912105-8972-45f5-bd1a-3dea9a2c6d61 · inbound

On the Effectiveness of the z-Transform Method in Quadratic Optimization cites this paper.

On the Effectiveness of the z-Transform Method in Quadratic Optimization Dimension-adapted Momentum Outscales SGD

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:20:10.337814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31c32ee6-facb-4999-9ef6-63415c928577 · inbound

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model cites this paper.

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model Dimension-adapted Momentum Outscales SGD

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:00:43.304186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df47034a-be6e-4c53-afd9-564ee5c509b1 · inbound

Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory cites this paper.

Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory Dimension-adapted Momentum Outscales SGD

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:38:16.331834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d37d3a63-dce6-4d09-9013-0ab343d350ce · inbound

Phases of Muon: When Muon Eclipses SignSGD cites this paper.

Phases of Muon: When Muon Eclipses SignSGD Dimension-adapted Momentum Outscales SGD

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:28.307342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fffdd257-1a9c-455d-a040-f492590a1944 · inbound

Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods cites this paper.

Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods Dimension-adapted Momentum Outscales SGD

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:59:07.505191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.