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Paper Citation Record · LEDGER

An Adaptive Method Stabilizing Activations for Enhanced Generalization

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.08353.

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

pith.paper-citation-record.v1
2506.08353 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:21:35.076846Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy38
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ceb5fee-227b-466c-a60a-d3c30c5bf81e · outbound

This paper cites an unresolved cited work.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 680440d7-f0d0-46c0-af0b-c6f9b7edb5e4 · outbound

This paper cites an unresolved cited work.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 181f8304-c83d-4b8d-b5e0-ca494bc0ad64 · outbound

This paper cites Gradient descent on neurons and its link to approximate second-order optimization.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Gradient descent on neurons and its link to approximate second-order optimization

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 51b5dcde-f3e7-446b-aa93-3eea0e4dbe6e · outbound

This paper cites Closing the generalization gap of adaptive gradient methods in training deep neural networks.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Closing the generalization gap of adaptive gradient methods in training deep neural networks

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation de3a8370-c9e1-4d7c-a44b-e6c1334ad383 · outbound

This paper cites Closing the generalization gap of adaptive gradient methods in training deep neural networks.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Closing the generalization gap of adaptive gradient methods in training deep neural networks

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e47c6f31-71c4-4903-8138-38d6b587981c · outbound

This paper cites When vision transformers outperform resnets without pretraining or strong data augmentations.International Conference on Learning Representations, 2022.

An Adaptive Method Stabilizing Activations for Enhanced Generalization When vision transformers outperform resnets without pretraining or strong data augmentations.International Conference on Learning Representations, 2022

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ed394466-0ff8-406a-aea4-d40ab91cd232 · outbound

This paper cites On the convergence of a class of adam-type algorithms for non-convex optimization.

An Adaptive Method Stabilizing Activations for Enhanced Generalization On the convergence of a class of adam-type algorithms for non-convex optimization

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.482990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 458fa151-1d4d-480d-b3f3-7402e65c3f8e · outbound

This paper cites an unresolved cited work.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:21:35.474066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 84d86f04-ee90-4ef9-9a33-434104670e6f · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Imagenet: A large-scale hierarchical image database

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.464128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:34.696364Z digest=sha256:3c59895ff9ca5e2923d8f35a7e917bd66411aee31e8995a9171014e60bbbd528

Observation 3bdfdb68-a803-4644-ba61-7df468775ff1 · outbound

This paper cites Regularizing activation distribution for training binarized deep networks.IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing activation distribution for training binarized deep networks.IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.453224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation caaf84d7-6395-4694-b7d7-f84ee4546468 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

An Adaptive Method Stabilizing Activations for Enhanced Generalization An image is worth 16x16 words: Transformers for image recognition at scale

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:34.924366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:34.924366Z digest=sha256:2d0e2bd12cbc7be00dfcb28e07bc983e7abdfdf51c36402a80fde917c62d278f

Observation cc461dfb-7583-4190-86da-17038e24a624 · outbound

This paper cites Incorporating nesterov momentum into adam.ICLR Workshop, 2016.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Incorporating nesterov momentum into adam.ICLR Workshop, 2016

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.436104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:34.961419Z digest=sha256:7da9297eb6ee9f8c8ca21ec021c0b36ca26e7ab8c691e46bccaa47889cc24352

Observation 3738cf43-effc-4b65-a23a-68836f9d2445 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 2011.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 2011

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.426106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation af86ee94-5bd0-4d54-b0c2-ea479f865af3 · outbound

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

An Adaptive Method Stabilizing Activations for Enhanced Generalization Sharpness-aware minimization for efficiently improving generalization

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.417397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3c9d49ba-b9d9-42e1-a0e7-8f77dfd65b2d · outbound

This paper cites Neuron with steady response leads to better generalization.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Neuron with steady response leads to better generalization

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.406517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f756dc37-5e0d-44d2-8ff0-49c20357dca1 · outbound

This paper cites Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ff5576e8-18d5-4f93-bce1-9557f0435078 · outbound

This paper cites Train faster, generalize better: Stability of stochastic gradient descent.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Train faster, generalize better: Stability of stochastic gradient descent

Reference 17

Resolution
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no resolver link, observed 2026-08-07T05:21:34.976520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:34.976520Z digest=sha256:efb1a96844be9f7730a38917e80f71a7113c19fe4831bd67e3ceb4241bb5cad4

Observation 89153d5b-64fb-4bd8-8b41-c4ec3c7f17f3 · outbound

This paper cites Deep residual learning for image recognition.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Deep residual learning for image recognition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:34.979159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 61dad80a-c2f6-47e1-95ba-5c7977e5c5e9 · outbound

This paper cites Weinberger.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Weinberger

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 62ba98cf-8547-4359-8d1b-e184a5d9b6b1 · outbound

This paper cites Weinberger.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Weinberger

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.363969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fc68040f-d8bf-4a27-a226-11d571d381be · outbound

This paper cites Adaptive learning rate via covariance matrix based preconditioning for deep neural networks.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive learning rate via covariance matrix based preconditioning for deep neural networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.354917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1f17ae09-ecae-4534-bc58-64309a8fc0ce · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.344229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 54c883bf-f1b4-4f29-ba21-6907e91b1911 · outbound

This paper cites Regularizing activations in neural networks via distribution matching with the wasserstein metric.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing activations in neural networks via distribution matching with the wasserstein metric

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.334124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f922e284-08ad-4979-b157-2731cd96f2fd · outbound

This paper cites Improving generalization performance by switching from adam to sgd.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Improving generalization performance by switching from adam to sgd

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.324217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0a55e018-2fed-4031-a526-4cb92403964b · outbound

This paper cites Kingma and Jimmy Ba.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Kingma and Jimmy Ba

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4bbef444-2a6b-4b47-b925-c3aca961d71a · outbound

This paper cites Learning multiple layers of features from tiny images.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Learning multiple layers of features from tiny images

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:35.002455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:35.002455Z digest=sha256:e8c20387559d66e1e300366f7f5d95d8c6f2e0f9fac1b765ac6d14ffe722c23e

Observation ea26862b-5e33-4641-816b-fcd71b831c9d · outbound

This paper cites Regularizing rnns by stabilizing activations.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing rnns by stabilizing activations

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.301665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.005166Z digest=sha256:73088d2b22ebc25c6bfe3d410c783a303cfdb5e62b6dea41cdb6552d2c7ae93b

Observation 1da42d82-25ec-45af-9856-b30c3a480ce5 · outbound

This paper cites Lecun, L.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Lecun, L

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.291708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.007890Z digest=sha256:aef6fb4c74d1e5d9bb0a37c527dde44a2cfd73724119042a54f3b27c3b873d5a

Observation ae85d851-51e3-4990-b710-f07577f960b9 · outbound

This paper cites Regularizing by the variance of the activations’ sample-variances.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing by the variance of the activations’ sample-variances

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.283691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.010809Z digest=sha256:cd523f2a1af7dc964e9532062218eee7751fc36de364392374f766cc1263e973

Observation 184c68d8-f0ae-41a1-aa6c-cb0eb053d783 · outbound

This paper cites On the variance of the adaptive learning rate and beyond.

An Adaptive Method Stabilizing Activations for Enhanced Generalization On the variance of the adaptive learning rate and beyond

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.275793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.013823Z digest=sha256:86c17d6c55655571687db474d65301cb9d135537ea441b27b938ee4504292c44

Observation de520fd9-005b-48f8-9af3-199965f24cd4 · outbound

This paper cites Adam+: A stochastic method with adaptive variance reduction, 2021.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Adam+: A stochastic method with adaptive variance reduction, 2021

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.267110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.016676Z digest=sha256:8c4a79bb8ea82965e2f8a44c91d19e1f5cf03257278b2c8d7a52c347665cc564

Observation 28fb73ee-1fec-4c04-957d-e8f1eceabc4b · outbound

This paper cites Decoupled weight decay regularization.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Decoupled weight decay regularization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:35.019848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:35.019848Z digest=sha256:7c018a157d43b0f1e612b8d336b2ad8eb48ac3daca8e41e1d917eacb6d86ad3b

Observation a9dc23d9-40bb-44fe-91ae-6a825202522c · outbound

This paper cites Adaptive gradient methods with dynamic bound of learning rate.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive gradient methods with dynamic bound of learning rate

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.253272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.023189Z digest=sha256:67e415260c271d7fe33f9dbb66d61c9b02ed2093af05c6053ea6d5a0724d7f68

Observation a6340e18-54ff-432b-8f81-83d95f647fd7 · outbound

This paper cites Optimizing neural networks with kronecker-factored approximate curvature.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Optimizing neural networks with kronecker-factored approximate curvature

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.245392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.026324Z digest=sha256:95e8167afe492ebb27a9160378318bda97934c7119b0680120054095de4a68f7

Observation bf6012c6-4aa4-4c52-acc0-99ac3979c13c · outbound

This paper cites Revisiting activation regularization for language rnns.ArXiv, 2017.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Revisiting activation regularization for language rnns.ArXiv, 2017

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.236958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.029046Z digest=sha256:d3318a8253ae3bb2fecb9e8cebf8a6bab1c872bf683b3ed89af11e67ff23607e

Observation e195ad21-c5b7-4174-86ec-1c414204ee98 · outbound

This paper cites Reddi, Satyen Kale, and Sanjiv Kumar.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Reddi, Satyen Kale, and Sanjiv Kumar

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.229093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.031528Z digest=sha256:8fde44851e5cf3a1106f91c77834b74ef8582d3b996e5e7aa1b0aeb59651f06e

Observation 93d7a137-ad4e-49aa-8159-e2b818a04f03 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 2014.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 2014

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.220855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.034947Z digest=sha256:849cbcefd5c75483407fcd409f4595dd0a44b61e6e027c875583ed90d51edb0c

Observation e9777eb4-2934-460a-bea3-f33243134627 · outbound

This paper cites Dahl, and Geoffrey E.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Dahl, and Geoffrey E

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.212342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.037866Z digest=sha256:388e10a46834820f3d4af159ba14d4619d900e2032d76bb9cb84fc5824f746a0

Observation cd410cf2-7454-4f5a-9438-865af44761fb · outbound

This paper cites Tieleman and G.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Tieleman and G

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.204047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.040763Z digest=sha256:47ac4f39d7c1b6bed34355b9c05a42ccbaa77bb02c61729c0840bc67db4f997f

Observation 70ca2455-15bd-4c26-b67c-ac7160adfd3c · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:35.043591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:35.043591Z digest=sha256:be36099e32fc59015c57538454d4afd8fdd55566ac98c0bc5d630f7cb664bc9b

Observation 4139132b-a23a-4cda-b6c1-cc05c87d6d43 · outbound

This paper cites Pytorch image models.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Pytorch image models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.191014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.046273Z digest=sha256:478d81c6088c0f9cf9712800671ca5b87b5815e912a2312e4231b3edbe742673

Observation 8f2ed74b-4720-49d6-a24d-9b35642a2ed0 · outbound

This paper cites Resnet strikes back: An improved training procedure in timm.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Resnet strikes back: An improved training procedure in timm

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.182417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.049280Z digest=sha256:609dfcf92157071ad537aad151e1be79bcb02ff8ea9ceb310cd37fe15664e76e

Observation 4c7b4b8e-a1f8-4344-9e99-a7c7e2ab50c5 · outbound

This paper cites Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, and Benjamin Recht.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, and Benjamin Recht

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.172488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.052602Z digest=sha256:0cc02fe142156b7f6c01328ef996cd9668b8347abb3c99675f1c4f1c78d19203

Observation 303247e7-4969-41a9-bb9d-fbf25ec2b36a · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:35.055835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:35.055835Z digest=sha256:c47ed42bd5b8dd0927cc247c8bb0268b73fd5d38489f070b98eaa6585e55c948

Observation 26bae624-482b-4448-b240-7db5e37eb9c4 · outbound

This paper cites Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.156179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.059129Z digest=sha256:a58181ab9e9999aa3406a40cffe3a69f36d0209d013e891d2d4cf87a7bddaf61

Observation d08d61e8-4355-4cc6-9902-f283ec98db2e · outbound

This paper cites Adaptive inertia: Disentangling the effects of adaptive learning rate and momentum.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive inertia: Disentangling the effects of adaptive learning rate and momentum

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.146810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.062273Z digest=sha256:42f6f66219eadcd334f1f7929edf0f3f7dfb66b5a09f6c5a9bdfe46bf0a2b4b7

Observation 1da727f9-35b9-4b7f-b884-6668a8ff1d21 · outbound

This paper cites Large batch optimization for deep learning: Training bert in 76 minutes.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Large batch optimization for deep learning: Training bert in 76 minutes

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:35.065198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:35.065198Z digest=sha256:974848fb8804ff2940da89be81c56ea5acbc71e7cc806217c0411446488bd634

Observation faae2b69-5539-43a7-beee-8c369c5132d6 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.IEEE/CVF International Conference on Computer Vision, 2019.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Cutmix: Regularization strategy to train strong classifiers with localizable features.IEEE/CVF International Conference on Computer Vision, 2019

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.132219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.067935Z digest=sha256:e44f65f1ce920fd7c8bb0fede8bbfab1f6bc154bc40fdd49ae906bbbe2d562f4

Observation ee1e9996-27ff-4491-81c3-6a9917aba78b · outbound

This paper cites Dauphin, and David Lopez-Paz.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Dauphin, and David Lopez-Paz

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:35.070724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:35.070724Z digest=sha256:3bdb24a7064b3461ea4029d475d7faddc9f32dd9921a1270ce6755e0af41da21

Observation 44ab703e-5767-4456-aa53-2f2c9a548559 · outbound

This paper cites Eva: Practical second-order optimization with kronecker-vectorized approximation.

An Adaptive Method Stabilizing Activations for Enhanced Generalization Eva: Practical second-order optimization with kronecker-vectorized approximation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.117443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.073855Z digest=sha256:f0dfc97228357ddcbbcf38f4e9ed2d4365c49cf12a564657b12ed008bc4ef34d

Observation f43a628b-43ef-45e8-933c-245d31eb7789 · outbound

This paper cites TX t=1 ηtgt/ p bvt 2 # ≤E.

An Adaptive Method Stabilizing Activations for Enhanced Generalization TX t=1 ηtgt/ p bvt 2 # ≤E

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:21:35.106504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:21:35.076846Z digest=sha256:7e85f7d2d097ae2bdd900e184e0495d6db8beda8be65f6194416be8da96363cc

Pith citing papers

No inbound Pith citation observations are available.