Paper Citation Record · LEDGER

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2505.24399.

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

pith.paper-citation-record.v1
2505.24399 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:09.807584Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T13:37:44.255971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:06:23.864619Z

Reference resolution

54 of 54 outbound references displayed

verified exact6
verified fuzzy34
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca909f6a-1e6a-43fa-986d-e5ed93729900 · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:03.705161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a69f7403-0ac3-4dce-a48e-d3aee9736030 · outbound

This paper cites Explor- ing generalization in deep learning,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Explor- ing generalization in deep learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:16.399158Z

Source-reported events for the cited work

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

Observation 6d0acfcc-1710-4d8c-ac02-74f3e73b13cd · outbound

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

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Sharpness-aware minimization for efficiently improving generalization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:16.313610Z

Source-reported events for the cited work

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

Observation 3d1c9cfa-773c-4279-88eb-ddee91cd26a7 · outbound

This paper cites Towards understanding sharpness-aware minimization,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Towards understanding sharpness-aware minimization,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:04.134769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ca9150-ba24-442a-ad94-bc4d3d10d720 · outbound

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

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Make sharpness-aware minimization stronger: A sparsified perturbation ap- proach,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:16.180995Z

Source-reported events for the cited work

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

Observation 63bbc9b3-83c5-40d1-be02-ec0b4ca133c4 · outbound

This paper cites Critical Influence of Overparameterization on Sharpness-aware Minimization.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Critical Influence of Overparameterization on Sharpness-aware Minimization

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:11.066310Z

Source-reported events for the cited work

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

Observation b248054c-b17d-4c29-905b-4fbc431d1218 · outbound

This paper cites Adasam: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Adasam: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:16.076479Z

Source-reported events for the cited work

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

Observation 1562b4a7-b3f6-49a4-bd05-78dcb526760d · outbound

This paper cites The Crucial Role of Normalization in Sharpness-Aware Minimization.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization The Crucial Role of Normalization in Sharpness-Aware Minimization

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:10.878494Z

Source-reported events for the cited work

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

Observation d0f52cb7-2a7d-43b9-b5fa-d5811c97be26 · outbound

This paper cites On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:04.824071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b5be73-9c6f-4d6a-bb63-c2c5204006f2 · outbound

This paper cites Parameter-agnostic optimization under relaxed smoothness,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Parameter-agnostic optimization under relaxed smoothness,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.938783Z

Source-reported events for the cited work

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

Observation fc7d315c-9a45-44f2-9343-6f87fc19b812 · outbound

This paper cites Simultaneous model selection and optimization through parameter-free stochastic learning,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Simultaneous model selection and optimization through parameter-free stochastic learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.817089Z

Source-reported events for the cited work

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

Observation 7c0e89ba-fbe8-42e5-902d-35f146a5837b · outbound

This paper cites Online learning without prior informa- tion,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Online learning without prior informa- tion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.728899Z

Source-reported events for the cited work

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

Observation 820afd49-a75c-449d-af02-41d4515c9077 · outbound

This paper cites Training deep networks without learning rates through coin betting,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Training deep networks without learning rates through coin betting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.610779Z

Source-reported events for the cited work

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

Observation 9ec614e7-4656-4c12-80ca-7b17578911b3 · outbound

This paper cites Learning-Rate-Free Learning by D-Adaptation.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Learning-Rate-Free Learning by D-Adaptation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:10.696383Z

Source-reported events for the cited work

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

Observation 8cc501da-ef48-42be-a7ab-5a3fb93a5128 · outbound

This paper cites Convergence of adagrad for non-convex objectives: Simple proofs and relaxed assumptions,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Convergence of adagrad for non-convex objectives: Simple proofs and relaxed assumptions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.483915Z

Source-reported events for the cited work

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

Observation 00fc0edf-80a8-43c3-893f-30991de5455d · outbound

This paper cites Closing the gap be- tween the upper bound and lower bound of adam’s iteration complexity,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Closing the gap be- tween the upper bound and lower bound of adam’s iteration complexity,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.366567Z

Source-reported events for the cited work

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

Observation fc93b36c-e876-4c93-9bf9-7dc158409f87 · outbound

This paper cites How sharpness-aware minimization mini- mizes sharpness?.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization How sharpness-aware minimization mini- mizes sharpness?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.211429Z

Source-reported events for the cited work

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

Observation 4a7ca0fb-8f49-4afc-a00b-5ea02bff8f3f · outbound

This paper cites Asam: Adaptive sharpness- aware minimization for scale-invariant learning of deep neural net- works,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Asam: Adaptive sharpness- aware minimization for scale-invariant learning of deep neural net- works,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.086434Z

Source-reported events for the cited work

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

Observation d8b8b287-76d0-4de8-b872-62be1ccb634f · outbound

This paper cites Ran- dom sharpness-aware minimization,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Ran- dom sharpness-aware minimization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.896107Z

Source-reported events for the cited work

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

Observation 3c431750-e484-45d7-bd2a-e6d843f297d4 · outbound

This paper cites Sharpness-aware training for free,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Sharpness-aware training for free,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.667063Z

Source-reported events for the cited work

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

Observation ff3ca6c2-8d02-4bc4-8df5-2e27826da636 · outbound

This paper cites Surrogate Gap Minimization Improves Sharpness-Aware Training.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:06.318865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab012672-d34c-472e-98f9-ad6716cbbf86 · outbound

This paper cites Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:10.443643Z

Source-reported events for the cited work

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

Observation e90f502e-041b-411d-b595-be93f69a8d76 · outbound

This paper cites SAMPa: Sharpness-aware Minimization Parallelized.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization SAMPa: Sharpness-aware Minimization Parallelized

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:10.282995Z

Source-reported events for the cited work

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

Observation 06b071f4-4c84-4d54-b86e-2030e642ad63 · outbound

This paper cites Sharpness-aware lookahead for accelerating convergence and improving generalization,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Sharpness-aware lookahead for accelerating convergence and improving generalization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.508401Z

Source-reported events for the cited work

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

Observation 1cf6545d-ea36-42f6-9d40-957561a54bd9 · outbound

This paper cites On the Convergence of Adam and Beyond.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization On the Convergence of Adam and Beyond

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:06.895107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e3051a-28d9-4fef-9629-a3ce144d219b · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Adaptive subgradient methods for online learning and stochastic optimization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.370236Z

Source-reported events for the cited work

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

Observation 770e4398-2fc1-433a-8c0e-fef26ffee7a0 · outbound

This paper cites Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.157089Z

Source-reported events for the cited work

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

Observation 2d99ec0b-0153-4e2d-8b1c-8c251697b69a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Adam: A Method for Stochastic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:07.276622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59726d7-d0f1-40e6-bc7c-b85903cc39fe · outbound

This paper cites On the convergence of stochastic gradient descent with adaptive stepsizes,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization On the convergence of stochastic gradient descent with adaptive stepsizes,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.078444Z

Source-reported events for the cited work

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

Observation 986975bc-62a6-4394-a596-7304f9a316a5 · outbound

This paper cites On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:07.535100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f164c29-be32-4d24-9a0b-52ed3180529c · outbound

This paper cites On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:07.720112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57d2264f-77a7-4bf9-bd75-b8ece43c1613 · outbound

This paper cites A Simple Convergence Proof of Adam and Adagrad.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization A Simple Convergence Proof of Adam and Adagrad

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:07.840556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9260927b-c685-47ac-9a55-ba0cf1c737f3 · outbound

This paper cites A unified analysis of adagrad with weighted aggregation and momentum acceleration,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization A unified analysis of adagrad with weighted aggregation and momentum acceleration,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.927465Z

Source-reported events for the cited work

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

Observation ecab6659-bcd9-4830-b22c-fc8806bb7690 · outbound

This paper cites Rmsprop converges with proper hyperparameter,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Rmsprop converges with proper hyperparameter,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.796724Z

Source-reported events for the cited work

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

Observation e352ead6-1c47-41b3-bc03-eb2b45a03bd6 · outbound

This paper cites Adam can converge without any modification on update rules,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Adam can converge without any modification on update rules,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.638004Z

Source-reported events for the cited work

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

Observation 271324d1-7365-438e-bde2-96e3958a4331 · outbound

This paper cites Dimension-free exponentiated gradient,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Dimension-free exponentiated gradient,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.527662Z

Source-reported events for the cited work

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

Observation d8304df5-bea4-4a43-a352-5fe597d5a3fa · outbound

This paper cites Unconstrained online linear learning in hilbert spaces: Minimax algorithms and normal approximations,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Unconstrained online linear learning in hilbert spaces: Minimax algorithms and normal approximations,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.428361Z

Source-reported events for the cited work

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

Observation ccd6f11a-1e90-4ef1-9ac7-e83d20f66abd · outbound

This paper cites Coin betting and parameter-free online learn- ing,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Coin betting and parameter-free online learn- ing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.275341Z

Source-reported events for the cited work

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

Observation 5d85a160-287b-4016-a495-e53b40f41126 · outbound

This paper cites Making sgd parameter-free,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Making sgd parameter-free,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.163077Z

Source-reported events for the cited work

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

Observation b222335b-bb1b-4b56-a626-52ef6ff1dc97 · outbound

This paper cites Dog is sgd’s best friend: A parameter-free dynamic step size schedule,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Dog is sgd’s best friend: A parameter-free dynamic step size schedule,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.941014Z

Source-reported events for the cited work

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

Observation 584ff79f-a319-43c9-949d-b04eb10a058b · outbound

This paper cites Dowg unleashed: An efficient universal parameter-free gradient descent method,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Dowg unleashed: An efficient universal parameter-free gradient descent method,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.706506Z

Source-reported events for the cited work

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

Observation 78bc8145-df67-48db-b8aa-820041ac313a · outbound

This paper cites Towards Simple and Provable Parameter-Free Adaptive Gradient Methods.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Towards Simple and Provable Parameter-Free Adaptive Gradient Methods

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:32:10.057644Z

Source-reported events for the cited work

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

Observation f8208e1a-3ae7-4b5c-953b-7cbea32ddb01 · outbound

This paper cites Sgd and hogwild! convergence without the bounded gra- dients assumption,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Sgd and hogwild! convergence without the bounded gra- dients assumption,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.559912Z

Source-reported events for the cited work

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

Observation 6d5b7cc0-36d0-49a5-b056-15b24638ebc9 · outbound

This paper cites Smoothness- adaptive sharpness-aware minimization for finding flatter minima,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Smoothness- adaptive sharpness-aware minimization for finding flatter minima,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.303888Z

Source-reported events for the cited work

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

Observation baefaa49-6c9a-4aad-a1ed-a5605369138d · outbound

This paper cites Online to offline conversions, universality and adaptive minibatch sizes,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Online to offline conversions, universality and adaptive minibatch sizes,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.107206Z

Source-reported events for the cited work

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

Observation c216cb0c-b19d-43eb-97b5-752ebc2472cd · outbound

This paper cites Adagrad stepsizes: Sharp conver- gence over nonconvex landscapes,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Adagrad stepsizes: Sharp conver- gence over nonconvex landscapes,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.926845Z

Source-reported events for the cited work

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

Observation bcdace04-800e-4a28-90c6-85e2170d6709 · outbound

This paper cites A sufficient condition for convergences of adam and rmsprop,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization A sufficient condition for convergences of adam and rmsprop,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:09.168263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b37270b4-21e6-44a6-9b64-748782f9bcc2 · outbound

This paper cites Iteration complexity of randomized block- coordinate descent methods for minimizing a composite function,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Iteration complexity of randomized block- coordinate descent methods for minimizing a composite function,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.750407Z

Source-reported events for the cited work

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

Observation d405c03b-d678-4e81-8188-b51250455d11 · outbound

This paper cites Towards Quantifying the Preconditioning Effect of Adam.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Towards Quantifying the Preconditioning Effect of Adam

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:09.342636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af036d5b-075c-4143-88e5-2d06c5aee956 · outbound

This paper cites Robust- ness to unbounded smoothness of generalized signsgd,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Robust- ness to unbounded smoothness of generalized signsgd,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.575857Z

Source-reported events for the cited work

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

Observation ab517c8a-c1e3-4390-8037-74d41a710ed5 · outbound

This paper cites Gradient-based learning applied to document recognition,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Gradient-based learning applied to document recognition,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:09.512342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecface3b-421c-4b41-a51b-b716c654e726 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Training data-efficient image transformers & distillation through attention,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:09.605342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b85ff26-7427-4fc5-a9bd-5d5712ba7017 · outbound

This paper cites Why are adaptive methods good for attention models?.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Why are adaptive methods good for attention models?

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.340852Z

Source-reported events for the cited work

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

Observation acf80601-11ef-404c-9cb6-8441dd8ca7e4 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:09.807584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 72befb5e-07a6-4d00-abde-e4adf9eb8d24 · inbound

Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler cites this paper.

Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler LightSAM: Parameter-Agnostic Sharpness-Aware Minimization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:06:23.867165Z

Source-reported events for the cited work

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