Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer | Paper Citation Record

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The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers cites this paper.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Peri-LN: Revisiting Normalization Layer in the Transformer Architecture cites this paper.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression cites this paper.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Training Deep Learning Models with Norm-Constrained LMOs cites this paper.

Training Deep Learning Models with Norm-Constrained LMOs Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 213

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Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.

Adaptive kernel predictors from feature-learning infinite limits of neural networks Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Dense Local Dependencies Induce Attention-Logit Explosion and Training Instability During Long-Sequence Transformer Training cites this paper.

Dense Local Dependencies Induce Attention-Logit Explosion and Training Instability During Long-Sequence Transformer Training Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias cites this paper.

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 61

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NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models cites this paper.

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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MiniCPM4: Ultra-Efficient LLMs on End Devices cites this paper.

MiniCPM4: Ultra-Efficient LLMs on End Devices Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? cites this paper.

Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Decoupled Relative Learning Rate Schedules cites this paper.

Decoupled Relative Learning Rate Schedules Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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SingLoRA: Low Rank Adaptation Using a Single Matrix cites this paper.

SingLoRA: Low Rank Adaptation Using a Single Matrix Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Simple Convergence Proof of Adam From a Sign-like Descent Perspective cites this paper.

Simple Convergence Proof of Adam From a Sign-like Descent Perspective Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently cites this paper.

Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity cites this paper.

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs cites this paper.

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces cites this paper.

Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance cites this paper.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics cites this paper.

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Customizing the Inductive Biases of Softmax Attention using Structured Matrices cites this paper.

Customizing the Inductive Biases of Softmax Attention using Structured Matrices Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention cites this paper.

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Scaling depth capacity via zero/one-layer model expansion cites this paper.

Scaling depth capacity via zero/one-layer model expansion Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Deep Delta Learning cites this paper.

Deep Delta Learning Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Deep Delta Learning cites this paper.

Deep Delta Learning Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning cites this paper.

SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model cites this paper.

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Spectral Condition for $\mu$P under Width-Depth Scaling cites this paper.

Spectral Condition for $\mu$P under Width-Depth Scaling Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Rethinking Language Model Scaling under Transferable Hypersphere Optimization cites this paper.

Rethinking Language Model Scaling under Transferable Hypersphere Optimization Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining cites this paper.

MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Feature Starvation as Geometric Instability in Sparse Autoencoders cites this paper.

Feature Starvation as Geometric Instability in Sparse Autoencoders Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling cites this paper.

OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Sparse Layers are Critical to Scaling Looped Language Models cites this paper.

Sparse Layers are Critical to Scaling Looped Language Models Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Sparse Layers are Critical to Scaling Looped Language Models cites this paper.

Sparse Layers are Critical to Scaling Looped Language Models Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds cites this paper.

Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 67

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Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings cites this paper.

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization cites this paper.

How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 116

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GQA-{\mu}P: The maximal parameterization update for grouped query attention cites this paper.

GQA-{\mu}P: The maximal parameterization update for grouped query attention Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Simply Stabilizing the Loop via Fully Looped Transformer cites this paper.

Simply Stabilizing the Loop via Fully Looped Transformer Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Block-Based Double Decoders cites this paper.

Block-Based Double Decoders Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Block-Based Double Decoders cites this paper.

Block-Based Double Decoders Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 16

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Unified Neural Scaling Laws cites this paper.

Unified Neural Scaling Laws Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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MuCon: Clipped Muon Updates for LLM Training cites this paper.

MuCon: Clipped Muon Updates for LLM Training Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail cites this paper.

Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 2025

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On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters cites this paper.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 36

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Unlocking Feature Learning in Gated Delta Networks at Scale cites this paper.

Unlocking Feature Learning in Gated Delta Networks at Scale Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Spectral Scaling Laws of Muon cites this paper.

Spectral Scaling Laws of Muon Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

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Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 102

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Observation 344187bf-160c-4d78-a7e9-d048c05d745f · inbound

On the Residual Scaling of Looped Transformers: Stability and Transferability cites this paper.

On the Residual Scaling of Looped Transformers: Stability and Transferability Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 31

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Source-reported events for the cited work

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Observation 14a3a96b-c447-4fd7-b4ff-5620e21c9628 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.965275Z

Source-reported events for the cited work

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Observation ad024d55-dee2-4067-9e3c-0b8a1ac4c6bd · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:30:07.815811Z

Source-reported events for the cited work

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Observation d0ce3013-56c9-42f3-8993-87acf7fe0c60 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 88

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Source-reported events for the cited work

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Observation 323bfc35-c383-4d2e-84ee-2b2faada5d28 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:45:44.992051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd3b708c-ec2c-4b61-bcfe-e8f332637497 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T09:36:52.548930Z

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Observation e15db8af-203a-4c7f-9dfb-862f7c416441 · inbound

The Role of Rigor in Artificial Intelligence cites this paper.

The Role of Rigor in Artificial Intelligence Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T16:22:39.179665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6143a722-f2b9-467f-bd1d-61bb7bc87469 · inbound

Index SLM Technical Report cites this paper.

Index SLM Technical Report Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T14:51:11.146058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38cbf6cf-6290-4515-aa64-80b98712a8be · inbound

Scale Weight Decay and Train Better cites this paper.

Scale Weight Decay and Train Better Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4feb1af7-058a-4472-a586-d05d034f1dd2 · inbound

Bridging Compute- and Data-Optimal Pretraining cites this paper.

Bridging Compute- and Data-Optimal Pretraining Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T03:02:01.193632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9cc9133-94d9-4698-a52f-d1cec4bca3cb · inbound

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers cites this paper.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.253839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d27a86f-b256-4327-8e34-4a6e96894d2e · inbound

Sign compression for Muon: SignMuon, MuonSign, and the Limits of Error Feedback cites this paper.

Sign compression for Muon: SignMuon, MuonSign, and the Limits of Error Feedback Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T02:09:02.591486Z

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Unavailable: canonical work link unavailable.

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