Memory-Efficient 4-bit Preconditioned Stochastic Optimization | Paper Citation Record

Observation 3baabe3b-ea9d-4129-8036-9a93820a5ae4 · outbound

This paper cites Disentangling Adaptive Gradient Methods from Learning Rates.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Disentangling Adaptive Gradient Methods from Learning Rates

Reference 1

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Observation d1f9b074-f827-40ff-a6c8-66c8a94d6cc3 · outbound

This paper cites Qsgd: Communication-efficient sgd via gra- dient quantization and encoding.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Qsgd: Communication-efficient sgd via gra- dient quantization and encoding

Reference 2

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Observation ef0786a3-b958-43c2-87fa-15b60fbfcef7 · outbound

This paper cites Scalable Second Order Optimization for Deep Learning.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Scalable Second Order Optimization for Deep Learning

Reference 3

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This paper cites Stochas- tic approximations and differential inclusions.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Stochas- tic approximations and differential inclusions

Reference 4

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This paper cites Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning

Reference 5

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Observation 5e71a2e1-7644-48ae-ac6a-f08c8ff71905 · outbound

This paper cites Stochastic approximation: a dynamical sys- tems viewpoint.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Stochastic approximation: a dynamical sys- tems viewpoint

Reference 6

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Observation a2e85daa-e140-4eaa-afc7-71be80c143eb · outbound

This paper cites Language Models are Few-Shot Learners.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Language Models are Few-Shot Learners

Reference 7

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Observation 0c3beb52-263d-4181-97d1-8e84ea942ce5 · outbound

This paper cites Lower bounds for finding stationary points ii: first- order methods.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Lower bounds for finding stationary points ii: first- order methods

Reference 8

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Observation 219db309-1fd4-4e00-86d8-e886a1485330 · outbound

This paper cites Optimization and nonsmooth analysis.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Optimization and nonsmooth analysis

Reference 9

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Observation 044afc28-ef1d-4aa3-a969-8aab1f5ce6d8 · outbound

This paper cites AutoAugment: Learning Augmentation Policies from Data.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization AutoAugment: Learning Augmentation Policies from Data

Reference 10

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Observation 4c7b912a-605b-4cc0-9da7-d29d372c7f5b · outbound

This paper cites Randaugment: Practical automated data augmen- tation with a reduced search space.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Randaugment: Practical automated data augmen- tation with a reduced search space

Reference 11

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Observation 6d53f9a6-1289-4727-bab1-ffa30862597d · outbound

This paper cites Pathological sub- gradient dynamics.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Pathological sub- gradient dynamics

Reference 12

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Observation 8103e450-7622-49ed-a284-260752fa330a · outbound

This paper cites Stochastic subgradient method converges on tame functions.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Stochastic subgradient method converges on tame functions

Reference 13

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Observation 74e2a6d3-c45b-44a7-9f0a-62fc56fe814f · outbound

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

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Imagenet: A large-scale hierarchical image database

Reference 14

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Observation c3a1db67-6fec-43e1-bcb1-1f138d582f8d · outbound

This paper cites 8-bit Optimizers via Block-wise Quantization.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization 8-bit Optimizers via Block-wise Quantization

Reference 15

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

Memory-Efficient 4-bit Preconditioned Stochastic Optimization An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 16

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Observation f36936a6-d005-4d6f-8c47-47a1a693c816 · outbound

This paper cites Adaptive sub- gradient methods for online learning and stochastic opti- mization.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Adaptive sub- gradient methods for online learning and stochastic opti- mization

Reference 17

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Observation 83b72dc2-c9a3-4805-a166-c81408a46899 · outbound

This paper cites Stochastic methods for com- posite and weakly convex optimization problems.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Stochastic methods for com- posite and weakly convex optimization problems

Reference 18

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Observation 83881c3b-dbff-440b-b03b-4a1640ce0314 · outbound

This paper cites A survey of quan- tization methods for efficient neural network inference.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization A survey of quan- tization methods for efficient neural network inference

Reference 19

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Observation a85be752-776d-4b3b-9302-cf9ca20aa6e7 · outbound

This paper cites Practi- cal quasi-newton methods for training deep neural networks.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Practi- cal quasi-newton methods for training deep neural networks

Reference 20

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Observation 4f6e5407-8681-490f-b325-faeedf0713f0 · outbound

This paper cites A schur–newton method for the matrixp th root and its inverse.SIAM Journal on Matrix Analysis and Applications , 28(3):788–804, 2006.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization A schur–newton method for the matrixp th root and its inverse.SIAM Journal on Matrix Analysis and Applications , 28(3):788–804, 2006

Reference 21

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Observation 6e4e80f8-2677-4a8e-9401-40c5f8321e56 · outbound

This paper cites Shampoo: Preconditioned stochastic tensor optimization.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Shampoo: Preconditioned stochastic tensor optimization

Reference 22

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Observation 5240ece3-6e13-42db-a26f-e792f39bf890 · outbound

This paper cites Deep residual learning for image recognition.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Deep residual learning for image recognition

Reference 23

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Observation 0e2e08b5-2303-43f5-aa24-323fde4246d3 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Training Compute-Optimal Large Language Models

Reference 24

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Observation d15b6993-2368-44b3-aed2-a014844042e7 · outbound

This paper cites Scaling Laws for Neural Language Models.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Scaling Laws for Neural Language Models

Reference 25

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Observation 284003b4-e4c2-43ec-a958-e14673caa2df · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Adam: A Method for Stochastic Optimization

Reference 26

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

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Learning multiple layers of features from tiny images

Reference 27

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Observation 4abdb69c-71f3-47c5-b718-afe0724d1c5e · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Imagenet classification with deep convolutional neural net- works

Reference 28

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Observation c4002d35-b1a8-414e-9d1b-0928c4dbfaa7 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Tiny imagenet visual recognition challenge

Reference 29

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Observation 3e485a9b-809e-4cde-8b23-87d1fe47ac09 · outbound

This paper cites Biobert: a pre-trained biomedical language representation model for biomedical text mining.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Biobert: a pre-trained biomedical language representation model for biomedical text mining

Reference 30

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Observation 6c4c0482-d15c-4101-8629-360cf7d432ea · outbound

This paper cites Vision Transformer for Small-Size Datasets.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Vision Transformer for Small-Size Datasets

Reference 31

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This paper cites Memory efficient optimizers with 4-bit states.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Memory efficient optimizers with 4-bit states

Reference 32

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Observation bd284cb7-e48f-44f4-91c2-705c9cac06ff · outbound

This paper cites ReLoRA: High-Rank Training Through Low-Rank Updates.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization ReLoRA: High-Rank Training Through Low-Rank Updates

Reference 33

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Swin transformer: Hierarchical vision transformer using shifted windows

Reference 34

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Observation d549d709-24d2-44c8-9b15-3d8a98ff84fc · outbound

This paper cites Decoupled weight de- cay regularization.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Decoupled weight de- cay regularization

Reference 35

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Observation 530cdb4b-f617-4bc3-a572-5ddbbaa0ceb3 · outbound

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

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Optimizing neural net- works with kronecker-factored approximate curvature

Reference 36

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Observation c6ddb572-8caa-4109-8cd5-b596d7cece6a · outbound

This paper cites A New Perspective on Shampoo's Preconditioner.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization A New Perspective on Shampoo's Preconditioner

Reference 37

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Observation 491079d2-2698-4a27-9360-c1acb16f9854 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Learning transferable visual models from natural language supervi- sion

Reference 38

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Observation 8a9e99e1-4006-4404-9ccb-b7571a4def38 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 39

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Observation a77dfca3-3598-4f5e-927d-6fbfa004e624 · outbound

This paper cites Ef21: A new, simpler, theoretically better, and practically faster error feedback.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Ef21: A new, simpler, theoretically better, and practically faster error feedback

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.171369Z

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Observation 82b856b9-e98d-4d56-afe7-03f7d4924448 · outbound

This paper cites A stochastic approxima- tion method.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization A stochastic approxima- tion method

Reference 41

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Observation 9c3e612e-aed1-405f-99e7-9ff27088862d · outbound

This paper cites 1-bit stochastic gradient descent and its application to data- parallel distributed training of speech dnns.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization 1-bit stochastic gradient descent and its application to data- parallel distributed training of speech dnns

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.134140Z

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Observation 4da20aa6-8ab7-4c1e-8e21-8c47e36fb61a · outbound

This paper cites A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

Reference 43

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Observation ff676b04-675c-4a94-8bdb-b603b6613c71 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 44

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Observation 94ae2857-c901-4213-8b4a-5a185fbe7f38 · outbound

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

Memory-Efficient 4-bit Preconditioned Stochastic Optimization On the importance of initialization and momentum in deep learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.113071Z

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Observation 11f7b997-8f6e-4413-8fd2-6457c0d2fdb8 · outbound

This paper cites 1-bit adam: Communication efficient large- scale training with adam’s convergence speed.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization 1-bit adam: Communication efficient large- scale training with adam’s convergence speed

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.092633Z

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Observation d4ea303b-9cd2-427d-8ae7-3aa68cf20ed3 · outbound

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

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Lecture 6.5- rmsprop: Divide the gradient by a running average of its re- cent magnitude

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.070539Z

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Observation 83951d8a-9aa4-41c5-b9a4-294e56bef14b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 48

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Observation 9a9287f3-272b-40e3-a161-a985cca76413 · outbound

This paper cites Powersgd: Practical low-rank gradient compression for dis- tributed optimization.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Powersgd: Practical low-rank gradient compression for dis- tributed optimization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.045328Z

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Observation bd7348a7-9db4-4a20-bbd2-d939d6120adf · outbound

This paper cites SOAP: Improving and Stabilizing Shampoo using Adam.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization SOAP: Improving and Stabilizing Shampoo using Adam

Reference 50

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Observation 2d1e864b-319e-4c3e-a327-d32a25ef9dbe · outbound

This paper cites 4-bit Shampoo for Memory-Efficient Network Training.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization 4-bit Shampoo for Memory-Efficient Network Training

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T15:50:24.308787Z

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Observation 2c9988b1-a79c-4bd4-b47f-251750f56fd6 · outbound

This paper cites Terngrad: Ternary gradients to reduce communication in distributed deep learning.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Terngrad: Ternary gradients to reduce communication in distributed deep learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.025285Z

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Observation 0d779a2b-6e52-42c8-98de-36510fe533fe · outbound

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

Memory-Efficient 4-bit Preconditioned Stochastic Optimization ResNet strikes back: An improved training procedure in timm

Reference 53

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Observation 837dac85-0c35-4d77-8720-c24c9d328772 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization BloombergGPT: A Large Language Model for Finance

Reference 54

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Observation 9f2669cf-3312-4c83-8134-f4730221d530 · outbound

This paper cites Crystal graph convolu- tional neural networks for an accurate and interpretable pre- diction of material properties.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Crystal graph convolu- tional neural networks for an accurate and interpretable pre- diction of material properties

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:25.007259Z

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Observation b532440f-c87c-43b1-9ed8-218200bdd7f0 · outbound

This paper cites LoCo: Low-Bit Communication Adaptor for Large-scale Model Training.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization LoCo: Low-Bit Communication Adaptor for Large-scale Model Training

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T15:50:24.335113Z

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Observation 0514f0bb-b1c6-4db2-a352-774fcb21dfc7 · outbound

This paper cites Adan: Adaptive nesterov momentum algo- rithm for faster optimizing deep models.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Adan: Adaptive nesterov momentum algo- rithm for faster optimizing deep models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:24.990483Z

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Observation 6c659bcd-1664-45b7-a297-0384a93ec693 · outbound

This paper cites Zeroquant: Ef- ficient and affordable post-training quantization for large- scale transformers.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Zeroquant: Ef- ficient and affordable post-training quantization for large- scale transformers

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T15:50:24.347114Z

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Observation e45e018e-1712-48c0-b86c-642f11f8746d · outbound

This paper cites A general regret bound of preconditioned gradient method for dnn training.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization A general regret bound of preconditioned gradient method for dnn training

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:24.960505Z

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Observation 103ed47c-d57b-4d5c-a7ec-531d6af374ad · outbound

This paper cites Cutmix: Regu- larization strategy to train strong classifiers with localizable features.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Cutmix: Regu- larization strategy to train strong classifiers with localizable features

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:24.943136Z

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Observation 167cede4-e469-48ae-89f0-4b21c3efc5be · outbound

This paper cites mixup: Beyond empirical risk minimiza- tion.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization mixup: Beyond empirical risk minimiza- tion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:24.926154Z

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Observation f5e70d96-6696-41f9-abb7-21b535705d11 · outbound

This paper cites Why are adaptive methods good for attention mod- els? Advances in Neural Information Processing Systems , 33:15383–15393, 2020.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Why are adaptive methods good for attention mod- els? Advances in Neural Information Processing Systems , 33:15383–15393, 2020

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:24.908110Z

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Observation 9948481d-ec79-41c1-98c9-912879ad5dea · outbound

This paper cites GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T15:50:24.373990Z

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Observation 3f7081ec-f753-40ea-8b75-b1bdf44ee7bb · outbound

This paper cites Random erasing data augmentation.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Random erasing data augmentation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:24.890889Z

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Observation e543c5ac-48f1-47ae-ba25-6244b883ca8a · outbound

This paper cites Definition B.2.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Definition B.2

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:50:24.871998Z

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Observation 2c018be2-19f1-4e67-9b6c-2a4afb0248bc · outbound

This paper cites an unresolved cited work.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:50:24.853790Z

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Observation cacbd0aa-ca71-4ff6-9f9e-6952fac1849c · outbound

This paper cites Here NMi is the normal space of Mi.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization Here NMi is the normal space of Mi

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T15:50:24.834907Z

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