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Paper Citation Record · LEDGER

VASSO: Variance Suppression for Sharpness-Aware Minimization

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2509.02433.

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

pith.paper-citation-record.v1
2509.02433 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:42:45.817678Z

measured 68 of 68 standing notices

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.

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

68 of 68 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a460f3b7-a83c-41e3-b77b-71ac4347a4a1 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

VASSO: Variance Suppression for Sharpness-Aware Minimization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

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Observation 12ecec1b-0cb4-4e8a-bdd9-2f157cb63a26 · outbound

This paper cites Language models are few-shot learners,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Language models are few-shot learners,

Reference 2

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Observation 4768d4b7-1af5-4e92-884a-f0cf14d0f273 · outbound

This paper cites Understanding deep learning (still) requires rethinking gen- eralization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Understanding deep learning (still) requires rethinking gen- eralization,

Reference 3

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Observation 602dbaed-a0b7-4c17-8ba2-d82e668d42cb · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Dropout: a simple way to prevent neural networks from overfitting,

Reference 4

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Observation 7496c36b-fa19-4399-9246-bd3f5ff0d3ac · outbound

This paper cites When vision transform- ers outperform resnets without pre-training or strong data augmentations,.

VASSO: Variance Suppression for Sharpness-Aware Minimization When vision transform- ers outperform resnets without pre-training or strong data augmentations,

Reference 5

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Source-reported events for the cited work

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Observation 850f9b30-5027-4876-8336-bfbc1465b156 · outbound

This paper cites The marginal value of adaptive gradient methods in machine learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization The marginal value of adaptive gradient methods in machine learning

Reference 6

Resolution
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Observation b254df6f-5f55-4ad0-83c7-77ed92f0fb42 · outbound

This paper cites Decoupled weight decay regu- larization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Decoupled weight decay regu- larization,

Reference 7

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Source-reported events for the cited work

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Observation cebe1e5d-b94b-4b13-b3c8-1e16460f229e · outbound

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

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware minimization for efficiently improving generalization,

Reference 8

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Source-reported events for the cited work

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Observation d0ea386a-4a3c-4969-97d9-c9ea1bd56077 · outbound

This paper cites Fantastic Generalization Measures and Where to Find Them.

VASSO: Variance Suppression for Sharpness-Aware Minimization Fantastic Generalization Measures and Where to Find Them

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 770fe60c-2359-46ff-a2cf-7a2eef5b2e14 · outbound

This paper cites On large-batch training for deep learning: Generalization gap and sharp minima.

VASSO: Variance Suppression for Sharpness-Aware Minimization On large-batch training for deep learning: Generalization gap and sharp minima

Reference 10

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Source-reported events for the cited work

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Observation 2fe58c53-a319-4d06-b316-d95983fb3d9d · outbound

This paper cites Entropy-SGD: Biasing gradient descent into wide valleys,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Entropy-SGD: Biasing gradient descent into wide valleys,

Reference 11

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Source-reported events for the cited work

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Observation ff2427d2-0bcc-4242-98bf-6c8ce7d580d3 · outbound

This paper cites GA-SAM: Gradient- strength based adaptive sharpness-aware minimization for improved generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization GA-SAM: Gradient- strength based adaptive sharpness-aware minimization for improved generalization,

Reference 12

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Observation 0701bf15-1187-44a9-b18f-940215fe5624 · outbound

This paper cites Towards under- standing sharpness-aware minimization.

VASSO: Variance Suppression for Sharpness-Aware Minimization Towards under- standing sharpness-aware minimization

Reference 13

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Source-reported events for the cited work

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Observation 0a50c249-7204-46e6-88ef-f0148cdb93d6 · outbound

This paper cites How does sharpness- aware minimization minimizes sharpness,.

VASSO: Variance Suppression for Sharpness-Aware Minimization How does sharpness- aware minimization minimizes sharpness,

Reference 14

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Source-reported events for the cited work

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Observation 0fc079bd-72ad-41f3-85eb-d70debb8b506 · outbound

This paper cites The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima.

VASSO: Variance Suppression for Sharpness-Aware Minimization The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima

Reference 15

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Observation f93bef96-a768-4836-9400-f213674460a9 · outbound

This paper cites Surrogate gap min- imization improves sharpness-aware training.

VASSO: Variance Suppression for Sharpness-Aware Minimization Surrogate gap min- imization improves sharpness-aware training

Reference 16

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Source-reported events for the cited work

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Observation ffc1e574-068e-4716-bba3-83686863b116 · outbound

This paper cites Fisher SAM: Information geometry and sharpness aware minimi- sation.

VASSO: Variance Suppression for Sharpness-Aware Minimization Fisher SAM: Information geometry and sharpness aware minimi- sation

Reference 17

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Observation c9f17886-59cb-4021-bbfb-f583c3d0bc55 · outbound

This paper cites To- wards efficient and scalable sharpness-aware minimization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization To- wards efficient and scalable sharpness-aware minimization,

Reference 18

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Source-reported events for the cited work

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Observation a5c2c410-5b52-40ce-a267-6fdf06e88a43 · outbound

This paper cites Efficient sharpness-aware minimization for improved training of neural networks,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Efficient sharpness-aware minimization for improved training of neural networks,

Reference 19

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Observation b4e98eb7-c6e7-4774-864d-dfac9735c9ea · outbound

This paper cites Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 20

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Source-reported events for the cited work

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Observation 8fb74f03-1411-4f2d-9a80-3e84606b1b73 · outbound

This paper cites An Adaptive Policy to Employ Sharpness-Aware Minimization.

VASSO: Variance Suppression for Sharpness-Aware Minimization An Adaptive Policy to Employ Sharpness-Aware Minimization

Reference 21

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Observation dd6243d2-5f39-4a9b-aa0b-ab6b4b75eb2d · outbound

This paper cites Sharpness-aware training for free,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware training for free,

Reference 22

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Observation 552c8fcd-bc82-4fd7-9ebc-9e8533b06db8 · outbound

This paper cites Enhancing sharpness-aware optimization through variance suppression,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Enhancing sharpness-aware optimization through variance suppression,

Reference 23

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Observation c1c96856-9417-4404-a1a4-134d21e6c0df · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Stochastic first-and zeroth-order methods for nonconvex stochastic programming,

Reference 24

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Source-reported events for the cited work

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Observation 6530d78d-3d9e-407f-8ef0-ba9e538eb5ed · outbound

This paper cites Optimization Methods for Large-Scale Machine Learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization Optimization Methods for Large-Scale Machine Learning

Reference 25

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Source-reported events for the cited work

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Observation 4c1590c5-2cb5-4741-877e-f5721e141916 · outbound

This paper cites Make sharpness-aware minimization stronger: A sparsified perturbation approach,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Make sharpness-aware minimization stronger: A sparsified perturbation approach,

Reference 26

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Source-reported events for the cited work

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Observation b1e4bdab-8374-4ccb-9ec0-143dbe4ae392 · outbound

This paper cites Stochastic Frank-Wolfe methods for nonconvex optimization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Stochastic Frank-Wolfe methods for nonconvex optimization,

Reference 27

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Observation 731896f6-2d85-4f0f-bb76-f03fd5ed6691 · outbound

This paper cites Attention is all you need,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Attention is all you need,

Reference 28

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Source-reported events for the cited work

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Observation 90f80038-8edc-456f-832d-ec7c922b39de · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Accelerating stochastic gradient descent using predictive variance reduction,

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 5d4482f1-76e4-4426-b5b2-333ee8f9ba0e · outbound

This paper cites SARAH: A novel method for machine learning problems using stochastic recursive gradient,.

VASSO: Variance Suppression for Sharpness-Aware Minimization SARAH: A novel method for machine learning problems using stochastic recursive gradient,

Reference 30

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Source-reported events for the cited work

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Observation b3a3b948-d670-4cb6-9cbc-c439fda101ce · outbound

This paper cites Almost tune-free vari- ance reduction,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Almost tune-free vari- ance reduction,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 24c6bdfe-a4bd-4d0f-bbc9-c52199e19d35 · outbound

This paper cites On the convergence of SARAH and beyond,.

VASSO: Variance Suppression for Sharpness-Aware Minimization On the convergence of SARAH and beyond,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 66f36c2a-8670-42a7-8419-809c2a29b686 · outbound

This paper cites an unresolved cited work.

VASSO: Variance Suppression for Sharpness-Aware Minimization Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation a57f5ec8-73ec-4e52-87d5-52b25a3509a7 · outbound

This paper cites ASAM: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks,.

VASSO: Variance Suppression for Sharpness-Aware Minimization ASAM: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks,

Reference 34

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Source-reported events for the cited work

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Observation 85f035cf-0cd0-4c6e-87ed-ed844c9b3fe1 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

VASSO: Variance Suppression for Sharpness-Aware Minimization Improved Regularization of Convolutional Neural Networks with Cutout

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T11:42:45.695948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a977cdc-94ea-4cf7-b92a-cb78536e53d9 · outbound

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

VASSO: Variance Suppression for Sharpness-Aware Minimization ImageNet: A large-scale hierarchical image database,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.397045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.700126Z digest=sha256:15539448e97f85e198e909ae845ea0b5b12bee8df1db274b4c3e23f4625f59cd

Observation e72aa39c-7231-4e5a-a5c4-8131b50ecf53 · outbound

This paper cites Adam: A method for stochastic optimization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Adam: A method for stochastic optimization,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.381919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.703679Z digest=sha256:0e667112545634c9acc1a274d7b5f80474e52cf54bf498500e7a86dd8cff6ba7

Observation 53b76dd9-3b80-400c-95df-98943471a61b · outbound

This paper cites Domain generalization: A survey,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Domain generalization: A survey,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.368051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.707437Z digest=sha256:f2669cd545cca69031cecdefee8f042379f48e4ca43f4dd3d1b1bec45bebe50d

Observation 273e0725-0693-47aa-8192-97ad6d6f4474 · outbound

This paper cites Unsupervised domain adaptation of object detectors: A survey,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Unsupervised domain adaptation of object detectors: A survey,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.354053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.711018Z digest=sha256:3ed86b1419d40af05abfdc377948266fd6770eb317e4d5ff9c0a3fae350dcbdb

Observation 43e343cb-27be-4c82-b0b3-196035a69680 · outbound

This paper cites Sharpness-aware gradient matching for domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware gradient matching for domain generalization,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.340737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.714571Z digest=sha256:fccfcca05381b83c6717b197f5876d22c0babb9167131c40d4d19058a0b61f25

Observation ddf485ac-bff1-4511-821a-eab2b5c2ff3c · outbound

This paper cites In search of lost domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization In search of lost domain generalization,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.327609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.718149Z digest=sha256:0265b9b1de9b2c6ed34ff79de1f0ad83f14192add8dbd6f7267d9e5d3ff273b9

Observation eb41a3a1-f0ec-448b-9c1a-614829754e1f · outbound

This paper cites Deeper, broader and artier domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Deeper, broader and artier domain generalization,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.313540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.721769Z digest=sha256:4efa72489092b0fae8bf5cf3fc5eaf88ba352aa6ddf533bdf0be173ef55786e2

Observation 1cee2645-f7a8-4568-af6e-e230a77056b8 · outbound

This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.300384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.725282Z digest=sha256:3e9b922d4051265dc1addcb94196e4a11ddeced93cd07719222dfd340a253893

Observation 5b665f3c-0a2e-4405-93db-209befb51a65 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Deep hashing network for unsupervised domain adaptation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.286389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.729393Z digest=sha256:93abf9a53646758bbff7d2f43eda57398915143c5901f297ec9819a1d7033f6d

Observation 2d7c53cd-fb69-4bf7-8542-b967c6aeae24 · outbound

This paper cites Recognition in terra incognita,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Recognition in terra incognita,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.272189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.733012Z digest=sha256:fcc7e7eeb993b6849f9d3511a580040e233cfcdf56562e1a66c10060b7a99607

Observation 330fc483-4b76-4ad1-9a3f-eaeb394414af · outbound

This paper cites Sharpness-aware gradient matching for domain generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Sharpness-aware gradient matching for domain generalization,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.258831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.736786Z digest=sha256:7ade82e9d58c390cf48c5534c8dbea2353e0e7bacafeb263d16f096b6d8957b4

Observation 2e60600f-ae72-47d5-a62c-f844f9cfa537 · outbound

This paper cites Dynamic loss for robust learning,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Dynamic loss for robust learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.244978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.740358Z digest=sha256:30d52bc06f4776bf4b5f8bf83b73014b7e7406c9b33b12fabea62c6d245d417f

Observation 78c8534a-12eb-4739-ac0e-56ef0bb261ab · outbound

This paper cites Report on the 11th iwslt evaluation campaign, iwslt 2014,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Report on the 11th iwslt evaluation campaign, iwslt 2014,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.231865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.744078Z digest=sha256:36faf7dac36516f28821a61015c5840e7d7e7d84b8765ccae9c2c3703ae6c065

Observation 450e2462-34fe-4d5c-8f37-5a92f1ab48d8 · outbound

This paper cites The break-even point on optimiza- tion trajectories of deep neural networks.

VASSO: Variance Suppression for Sharpness-Aware Minimization The break-even point on optimiza- tion trajectories of deep neural networks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.218819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.747726Z digest=sha256:f73405a56588f7b462cb39e5cb4044daa0fb096d8d4b7fd6b83a4f0c690766f6

Observation 1773e90d-85b4-4699-9b0b-4bce5b3c494e · outbound

This paper cites An investigation into neural net optimization via hessian eigenvalue density.

VASSO: Variance Suppression for Sharpness-Aware Minimization An investigation into neural net optimization via hessian eigenvalue density

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.205887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.751596Z digest=sha256:b5a0f69f4bba403ade6d122ae42f5a7de284d0c1f0d90cab3795dec39bfd1280

Observation 74dc1ef3-68d1-4414-a43e-a99330c75458 · outbound

This paper cites Visu- alizing the loss landscape of neural nets,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Visu- alizing the loss landscape of neural nets,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.192825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.755131Z digest=sha256:b4882114ac7cc22ae24b1aabdae3e8c1236b99c402df4e94fcf5cc3b33bde7bf

Observation f3b02148-0758-4b4e-8f06-dcb62fd97084 · outbound

This paper cites Three Factors Influencing Minima in SGD.

VASSO: Variance Suppression for Sharpness-Aware Minimization Three Factors Influencing Minima in SGD

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T11:42:45.758848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:42:45.758848Z digest=sha256:5622e3d292e8297ece8c04e9437f2ebbb9e038589ae360a999b953e237fb3194

Observation ac7c04a6-4f66-419e-989b-f123b4dce0b9 · outbound

This paper cites Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.180109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.762856Z digest=sha256:c5172a72bcb15a1d71405b7853233f9b7b2543fda2ce3536c7a90a5c14f47122

Observation 9b72f950-743e-4882-8a76-61b7b540803e · outbound

This paper cites Exploring generalization in deep learning.

VASSO: Variance Suppression for Sharpness-Aware Minimization Exploring generalization in deep learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.166748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.766336Z digest=sha256:30a62a426c73715e27849b51673b0bdf5c19ec2c078d0a5390c45cf249aeac21

Observation f8c66afc-1fcf-40ce-b4e7-93d9673c6b27 · outbound

This paper cites On the generalization of models trained with sgd: Information-theoretic bounds and impli- cations,.

VASSO: Variance Suppression for Sharpness-Aware Minimization On the generalization of models trained with sgd: Information-theoretic bounds and impli- cations,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.154610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.770142Z digest=sha256:c6e1c1c30bcdcb56dc17a58c54960203326cd01a86790acd7737eeb862f44239

Observation ed41777a-ab79-4631-8b5d-08a4cc9bd2ab · outbound

This paper cites Averaging weights leads to wider optima and better generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Averaging weights leads to wider optima and better generalization,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.141358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.773723Z digest=sha256:90b648ed48513bcd3b0fa58b3499e52dc70196676053fa2143772f03ea787f7a

Observation 1b515a27-19ee-4e4b-b0f6-6251435989c5 · outbound

This paper cites Adversarial weight per- turbation helps robust generalization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Adversarial weight per- turbation helps robust generalization,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.128622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.777449Z digest=sha256:5dd98e989387a0ebdfdde747838c9107ae0ec1c077b4378adf8ee227f1f185fc

Observation 36fa7176-81e5-4862-9448-4d7df5200040 · outbound

This paper cites Penalizing gradient norm for efficiently improving generalization in deep learning,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Penalizing gradient norm for efficiently improving generalization in deep learning,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.115477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.781057Z digest=sha256:a43f83325dd3ee74d6a0f22bea314c271bcb3b8885b68ad124fbdf3ea776d6a6

Observation b3774b03-1c10-4b82-9bb5-dedb5d441123 · outbound

This paper cites Implicit gradient regulariza- tion,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Implicit gradient regulariza- tion,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.102295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.784613Z digest=sha256:9ea821a48857a7c8e0addb4cb243d6b83b9ad19d61d636d6faec789381a95418

Observation 73f34713-0f92-471b-9806-d29fea42005a · outbound

This paper cites Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization.

VASSO: Variance Suppression for Sharpness-Aware Minimization Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:42:45.860340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.788548Z digest=sha256:6c40b1859c51b3e546586d30f685d4db0b8cf8faa886dc30938e45e5a5df0c1e

Observation 9929a0b2-4f8b-4f8e-b1bd-111ee4b8a846 · outbound

This paper cites Stochastic con- ditional gradient methods: From convex minimization to submodular maximization,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Stochastic con- ditional gradient methods: From convex minimization to submodular maximization,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.089473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.792347Z digest=sha256:1a82ff697a7e2d6a472c2a7f81ab6b5e321592e179ec7377e8cbfef88d0ffecb

Observation b41addae-29d3-45c0-a469-802e78c5e4f3 · outbound

This paper cites Accelerating Frank- Wolfe with weighted average gradients,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Accelerating Frank- Wolfe with weighted average gradients,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.076486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.796134Z digest=sha256:81065aaef46cd226c1be76774a4703af7d24aa68d40c6300f3b8a97b51491ef0

Observation 226e8cd7-45cd-42a2-960d-8d6585639715 · outbound

This paper cites Heavy ball momentum for conditional gradient,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Heavy ball momentum for conditional gradient,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.062355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.799627Z digest=sha256:895ccf438f61993dfaad5ecc25689c7b235c77c2e9b61d63e6800752fb86f13b

Observation 0e48023d-d671-4661-87de-237c418d2d27 · outbound

This paper cites Understanding and increas- ing efficiency of Frank-Wolfe adversarial training,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Understanding and increas- ing efficiency of Frank-Wolfe adversarial training,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.048190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.803186Z digest=sha256:64aa36f8a8ae7bcbf93f9707d939c11da9c9329976d22dcab0d447b173ad5f02

Observation 38209de2-c405-41e1-bd09-714c173accff · outbound

This paper cites A momentum-guided Frank-Wolfe algorithm,.

VASSO: Variance Suppression for Sharpness-Aware Minimization A momentum-guided Frank-Wolfe algorithm,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.034426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.806873Z digest=sha256:d38c07d1dae98194c07e1befa6c2dbc6769218129ba7bb91c553cc4830f1fb69

Observation 15d876f0-746e-4c75-8edd-c134de922df8 · outbound

This paper cites Enhancing Frank-Wolfe with an extra subproblem,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Enhancing Frank-Wolfe with an extra subproblem,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.020959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.810456Z digest=sha256:fdfd4d5b8b43b3d89c695918db2060cb8a96aefbccc7cd81f9fa818f37dbe2cf

Observation 6e40ece2-246b-4b7c-9e01-7838826f6521 · outbound

This paper cites Accelerated stochastic gradient-free and projection-free methods,.

VASSO: Variance Suppression for Sharpness-Aware Minimization Accelerated stochastic gradient-free and projection-free methods,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:46.007513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.813963Z digest=sha256:17d94fc80d74e2872d87e5a905c5229e27ec73f4187707089c344706031530eb

Observation 8cedb89a-5796-473b-94a5-19dfb807e53e · outbound

This paper cites Scaling is used to vary the SNR.

VASSO: Variance Suppression for Sharpness-Aware Minimization Scaling is used to vary the SNR

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:42:45.993670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:42:45.817678Z digest=sha256:091532739de639b94fa4a0ff9b236b786365cd32610c3f7713310159bda82a62

Pith citing papers

No inbound Pith citation observations are available.