Attributing Data for Sharpness-Aware Minimization | Paper Citation Record

Observation 6f5959e9-00f7-4383-a952-a736e878d95d · outbound

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

Attributing Data for Sharpness-Aware Minimization Learning multiple layers of features from tiny images

Reference 1

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Observation 27883883-6e69-4837-949e-66c2e89b8318 · outbound

This paper cites Sharpness- aware minimization leads to low-rank features.

Attributing Data for Sharpness-Aware Minimization Sharpness- aware minimization leads to low-rank features

Reference 2

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This paper cites Towards understanding sharpness-aware minimization.

Attributing Data for Sharpness-Aware Minimization Towards understanding sharpness-aware minimization

Reference 3

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Observation de2c7554-1a22-4484-8dce-d62dc30addc4 · outbound

This paper cites Sharpness-Aware Minimization Improves Language Model Generalization.

Attributing Data for Sharpness-Aware Minimization Sharpness-Aware Minimization Improves Language Model Generalization

Reference 4

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This paper cites Influence functions in deep learning are fragile.

Attributing Data for Sharpness-Aware Minimization Influence functions in deep learning are fragile

Reference 5

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This paper cites Un- derstanding the origins of bias in word embeddings.

Attributing Data for Sharpness-Aware Minimization Un- derstanding the origins of bias in word embeddings

Reference 6

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Observation 8a77e1ce-6da6-4f5c-95b2-77f6a743b59f · outbound

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

Attributing Data for Sharpness-Aware Minimization Entropy-sgd: Biasing gradient descent into wide valleys

Reference 7

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Observation d8c30c5c-9c6a-49a9-97db-d35645608096 · outbound

This paper cites Multi-stage influence function.

Attributing Data for Sharpness-Aware Minimization Multi-stage influence function

Reference 8

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Observation 29ed7f32-3fd8-434c-a9c0-0bbfff544124 · outbound

This paper cites When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.

Attributing Data for Sharpness-Aware Minimization When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Reference 9

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Observation 5c7b5b88-1fbc-48eb-a530-17ca61fe7b25 · outbound

This paper cites Detection of influential observation in linear regression.

Attributing Data for Sharpness-Aware Minimization Detection of influential observation in linear regression

Reference 10

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Observation 048ed343-a8f1-4d08-854e-d49f4fd97bde · outbound

This paper cites Characterizations of an empirical influence function for detecting influential cases in regression.

Attributing Data for Sharpness-Aware Minimization Characterizations of an empirical influence function for detecting influential cases in regression

Reference 11

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Observation 9d5e6f38-e7be-4ff4-b143-7394496a681a · outbound

This paper cites The theory of max-min and its application to weapons allocation problems, volume 5.

Attributing Data for Sharpness-Aware Minimization The theory of max-min and its application to weapons allocation problems, volume 5

Reference 12

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Observation df0102a3-ee11-4b5e-bcdc-7cb2f780ceab · outbound

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

Attributing Data for Sharpness-Aware Minimization Imagenet: A large- scale hierarchical image database

Reference 13

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Observation 07d788d8-3dee-4b27-bb15-8a3b6d7e6505 · outbound

This paper cites Efficient Sharpness-aware Minimization for Improved Training of Neural Networks.

Attributing Data for Sharpness-Aware Minimization Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Reference 14

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Observation 58481b64-b0f2-4da2-b2a1-bf0a7f0c257a · outbound

This paper cites What neural networks memorize and why: Discovering the long tail via influence estimation.

Attributing Data for Sharpness-Aware Minimization What neural networks memorize and why: Discovering the long tail via influence estimation

Reference 15

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Observation ac30bb66-b358-40ba-84b9-f0d114410d00 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Attributing Data for Sharpness-Aware Minimization Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 16

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This paper cites short-length.

Attributing Data for Sharpness-Aware Minimization short-length

Reference 17

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Observation af93d81d-0306-47f6-bd26-9657bf65f60a · outbound

This paper cites Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach.

Attributing Data for Sharpness-Aware Minimization Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach

Reference 18

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Observation 45104d74-4a91-4ee2-accc-1f2ff0ae1315 · outbound

This paper cites Data shapley: Equitable valuation of data for machine learning.

Attributing Data for Sharpness-Aware Minimization Data shapley: Equitable valuation of data for machine learning

Reference 19

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Observation fefbba0b-5f41-4150-a07f-7b03a7de729b · outbound

This paper cites Mixed-privacy forgetting in deep networks.

Attributing Data for Sharpness-Aware Minimization Mixed-privacy forgetting in deep networks

Reference 20

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Observation 1e9fa2d3-fb8d-4ea7-9f32-c7462c6b87cc · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Attributing Data for Sharpness-Aware Minimization Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 21

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Observation 4577a052-ab1f-4dc8-a192-a4e13b33e542 · outbound

This paper cites Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions.

Attributing Data for Sharpness-Aware Minimization Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions

Reference 22

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Observation 4852de92-2d25-43a5-aefb-ea73dcefb76e · outbound

This paper cites Deep residual learning for image recognition.

Attributing Data for Sharpness-Aware Minimization Deep residual learning for image recognition

Reference 23

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Observation 8b8cf768-3308-4c38-86a9-b109949be359 · outbound

This paper cites Simplifying neural nets by discovering flat minima.

Attributing Data for Sharpness-Aware Minimization Simplifying neural nets by discovering flat minima

Reference 24

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Observation c5c42590-f4f3-4a24-be94-87a9b4c8e09e · outbound

This paper cites Flat minima.

Attributing Data for Sharpness-Aware Minimization Flat minima

Reference 25

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Observation ceb13d4c-9935-4cab-b87f-5da93ea611cc · outbound

This paper cites Differentially Private Natural Language Models: Recent Advances and Future Directions.

Attributing Data for Sharpness-Aware Minimization Differentially Private Natural Language Models: Recent Advances and Future Directions

Reference 26

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This paper cites Editable Concept Bottleneck Models.

Attributing Data for Sharpness-Aware Minimization Editable Concept Bottleneck Models

Reference 27

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This paper cites Dissecting Representation Misalignment in Contrastive Learning via Influence Function.

Attributing Data for Sharpness-Aware Minimization Dissecting Representation Misalignment in Contrastive Learning via Influence Function

Reference 28

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Observation b399b709-3eb6-4760-a73c-454f5dcf346a · outbound

This paper cites Privacy-preserving sparse generalized eigenvalue problem.

Attributing Data for Sharpness-Aware Minimization Privacy-preserving sparse generalized eigenvalue problem

Reference 29

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Observation 338bb633-edbf-49a5-959e-518f0dde7d02 · outbound

This paper cites Robust statistics.

Attributing Data for Sharpness-Aware Minimization Robust statistics

Reference 30

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Observation 37f4b75e-6887-49dc-906b-2c603f442a4e · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

Attributing Data for Sharpness-Aware Minimization Averaging Weights Leads to Wider Optima and Better Generalization

Reference 31

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This paper cites Towards efficient data valuation based on the shapley value.

Attributing Data for Sharpness-Aware Minimization Towards efficient data valuation based on the shapley value

Reference 32

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Observation ed265c71-12fa-42f3-a4b3-3b44f53ef3aa · outbound

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

Attributing Data for Sharpness-Aware Minimization On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 33

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This paper cites Understanding black-box predictions via influence functions.

Attributing Data for Sharpness-Aware Minimization Understanding black-box predictions via influence functions

Reference 34

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Observation 000ae659-333b-4d01-bf6b-281ea6be1bc0 · outbound

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

Attributing Data for Sharpness-Aware Minimization Asam: Adaptive sharpness- aware minimization for scale-invariant learning of deep neural networks

Reference 35

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Observation 0a96316d-bac3-41a6-b65b-1b0210b78628 · outbound

This paper cites Beta shapley: a unified and noise-reduced data valuation framework for machine learning.

Attributing Data for Sharpness-Aware Minimization Beta shapley: a unified and noise-reduced data valuation framework for machine learning

Reference 36

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Observation a0ca9953-b2a0-4237-bd03-1c3a585386d9 · outbound

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

Attributing Data for Sharpness-Aware Minimization Gradient-based learning applied to document recognition

Reference 37

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This paper cites Taad: Time-varying adversarial anomaly detection in dynamic graphs.

Attributing Data for Sharpness-Aware Minimization Taad: Time-varying adversarial anomaly detection in dynamic graphs

Reference 38

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Observation 1df482fe-a191-4299-af0f-4b227a07717a · outbound

This paper cites Certified minimax unlearning with generalization rates and deletion capacity.

Attributing Data for Sharpness-Aware Minimization Certified minimax unlearning with generalization rates and deletion capacity

Reference 39

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This paper cites Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions.

Attributing Data for Sharpness-Aware Minimization Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions

Reference 40

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Observation 389afcc4-152d-4a6e-ba8a-fb90cbe1a25e · outbound

This paper cites Towards efficient and scalable sharpness-aware minimization.

Attributing Data for Sharpness-Aware Minimization Towards efficient and scalable sharpness-aware minimization

Reference 41

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Observation 96f613c4-c8e5-4399-85a7-83ef8ab13c20 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Attributing Data for Sharpness-Aware Minimization A Unified Approach to Interpreting Model Predictions

Reference 42

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Observation faf44026-f3e5-4a38-b75b-4cbde63faadc · outbound

This paper cites Privacy-preserving low-rank adaptation against membership inference attacks for latent diffusion models.

Attributing Data for Sharpness-Aware Minimization Privacy-preserving low-rank adaptation against membership inference attacks for latent diffusion models

Reference 43

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Observation cf81a162-dc17-49fc-8a3a-7ce8ea59d820 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Attributing Data for Sharpness-Aware Minimization Towards deep learning models resistant to adversarial attacks

Reference 44

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This paper cites Exploring generalization in deep learning.

Attributing Data for Sharpness-Aware Minimization Exploring generalization in deep learning

Reference 45

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Observation c18e484c-500f-41e8-93cd-d21c6f3ef836 · outbound

This paper cites TRAK: Attributing Model Behavior at Scale.

Attributing Data for Sharpness-Aware Minimization TRAK: Attributing Model Behavior at Scale

Reference 46

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Observation 43954f1a-3b41-4a44-9f14-a8a77bd48cb2 · outbound

This paper cites Estimating training data influence by tracing gradient descent.

Attributing Data for Sharpness-Aware Minimization Estimating training data influence by tracing gradient descent

Reference 47

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Observation ed919782-3e66-4baf-8c90-b60cf3a35886 · outbound

This paper cites Generalized federated learning via sharpness aware minimization.

Attributing Data for Sharpness-Aware Minimization Generalized federated learning via sharpness aware minimization

Reference 48

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Observation e2915214-8635-4745-a2d2-22d64b7f6400 · outbound

This paper cites Evaluating Data Influence in Meta Learning.

Attributing Data for Sharpness-Aware Minimization Evaluating Data Influence in Meta Learning

Reference 49

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Observation 17fc5865-8db8-4e28-93fe-8ae8e04509c1 · outbound

This paper cites why should i trust you?.

Attributing Data for Sharpness-Aware Minimization why should i trust you?

Reference 50

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Observation 9fc2f2a3-af9a-4c62-abfc-026f96491c1a · outbound

This paper cites Theoretical and practical perspectives on what influence functions do.

Attributing Data for Sharpness-Aware Minimization Theoretical and practical perspectives on what influence functions do

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.229121Z

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Observation 721fbaee-bad8-4e20-943c-e22ad8748832 · outbound

This paper cites Adversarial training for free!Advances in neural information processing systems, 32, 2019.

Attributing Data for Sharpness-Aware Minimization Adversarial training for free!Advances in neural information processing systems, 32, 2019

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.222955Z

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Observation 47165dba-06c3-466e-99b7-c4d715a789d5 · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

Attributing Data for Sharpness-Aware Minimization The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.216694Z

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Observation 05285cd3-6cbc-40e7-90d1-3d0552a30c3e · outbound

This paper cites Generalized linear models in non-interactive local differential privacy with public data.

Attributing Data for Sharpness-Aware Minimization Generalized linear models in non-interactive local differential privacy with public data

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.210300Z

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Observation 66b71c33-aabf-49a9-85bb-b2ef67ee97de · outbound

This paper cites Repairing without retraining: Avoiding disparate impact with counterfactual distributions.

Attributing Data for Sharpness-Aware Minimization Repairing without retraining: Avoiding disparate impact with counterfactual distributions

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.203758Z

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Observation 3d84cd81-af46-4ad4-a84a-4c08020ffc23 · outbound

This paper cites The shapley value.

Attributing Data for Sharpness-Aware Minimization The shapley value

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.197608Z

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Observation 657244ff-9a34-4c5e-a1ac-2d59459cfc60 · outbound

This paper cites R-drop: Regularized dropout for neural networks.

Attributing Data for Sharpness-Aware Minimization R-drop: Regularized dropout for neural networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.191502Z

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Observation a4b53896-a980-4e21-bb80-20510d0c1b40 · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

Attributing Data for Sharpness-Aware Minimization LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 58

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Observation 6df251cf-1d34-4c59-9346-e0368acd9c3c · outbound

This paper cites Practical differentially private and byzantine-resilient federated learning.

Attributing Data for Sharpness-Aware Minimization Practical differentially private and byzantine-resilient federated learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.184835Z

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Observation e7fea94d-37fa-4b60-9602-0624c88221f3 · outbound

This paper cites Preserving node-level privacy in graph neural networks.

Attributing Data for Sharpness-Aware Minimization Preserving node-level privacy in graph neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.177589Z

Source-reported events for the cited work

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Observation c33fe4c2-35cc-498c-9347-6d9c8ac9facd · outbound

This paper cites A theory to instruct differentially- private learning via clipping bias reduction.

Attributing Data for Sharpness-Aware Minimization A theory to instruct differentially- private learning via clipping bias reduction

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.171179Z

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 41f6a1c1-2f34-4a1c-9492-c25a9112e118 · outbound

This paper cites Data valuation using reinforcement learning.

Attributing Data for Sharpness-Aware Minimization Data valuation using reinforcement learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.163900Z

Source-reported events for the cited work

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Observation fb3fd92f-db83-4b0a-a328-6c91a5a62089 · outbound

This paper cites Spectral Norm Regularization for Improving the Generalizability of Deep Learning.

Attributing Data for Sharpness-Aware Minimization Spectral Norm Regularization for Improving the Generalizability of Deep Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:11.281313Z

Source-reported events for the cited work

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Observation 63a5fe04-5eb8-410c-8678-0e7792f78026 · outbound

This paper cites Towards User-level Private Reinforcement Learning with Human Feedback.

Attributing Data for Sharpness-Aware Minimization Towards User-level Private Reinforcement Learning with Human Feedback

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:11.411545Z

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Observation 3d07b06f-dd56-4116-8543-90e42b0b70d5 · outbound

This paper cites Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning.

Attributing Data for Sharpness-Aware Minimization Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:02:11.960151Z

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 6a8a13c6-2915-4d41-b5b9-e3118f6df2bd · outbound

This paper cites Improved rates of differentially private nonconvex-strongly-concave minimax optimization.

Attributing Data for Sharpness-Aware Minimization Improved rates of differentially private nonconvex-strongly-concave minimax optimization

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.157570Z

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 c291337a-4a4d-442e-acf3-0dd049b536de · outbound

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

Attributing Data for Sharpness-Aware Minimization Penalizing gradient norm for efficiently improving generalization in deep learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:12.150675Z

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 ed97e6a5-ff57-4d96-b752-47c17672bc2a · outbound

This paper cites Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness.

Attributing Data for Sharpness-Aware Minimization Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness

Reference 68

Resolution: malformed identifier; local_arxiv, observed 2026-08-06T20:02:11.810878Z

Source-reported events for the cited work

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

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