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Paper Citation Record · LEDGER

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning

As of 10 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2608.05088.

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pith.paper-citation-record.v1
2608.05088 v1

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measured 79 of 79 reference resolution

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Reference resolution

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Outbound references

Observation 38fc84e2-20b4-4c7b-9f19-88a7c61e6d59 · outbound

This paper cites Disentangling Adaptive Gradient Methods from Learning Rates.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Disentangling Adaptive Gradient Methods from Learning Rates

Reference 1

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Observation 4d039c1f-4e41-4e81-9f11-2e7d27fcf294 · outbound

This paper cites Natural gradient works efficiently in learning.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Natural gradient works efficiently in learning

Reference 2

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Observation d376bcb4-0974-452d-8d57-5b3d9738ccf1 · outbound

This paper cites The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm

Reference 3

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Observation c39c7026-d9be-44d5-8b3c-0eb081b5494d · outbound

This paper cites Scalable Second Order Optimization for Deep Learning.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Scalable Second Order Optimization for Deep Learning

Reference 4

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Observation 7c832bf3-c36b-45a3-9ed8-a3b1839cc383 · outbound

This paper cites Memory efficient adaptive optimization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Memory efficient adaptive optimization

Reference 5

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Observation 6cb16ab7-dd03-4f7a-a75f-c19376294716 · outbound

This paper cites High- dimensional sgd aligns with emerging outlier eigenspaces.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning High- dimensional sgd aligns with emerging outlier eigenspaces

Reference 6

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Observation 0a24bb5f-eb5b-44f2-8794-823defd701d4 · outbound

This paper cites signsgd: Compressed optimisation for non-convex problems.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning signsgd: Compressed optimisation for non-convex problems

Reference 7

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Observation f1cafe61-1fca-4743-acd0-a19dee7e92f7 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning On the Opportunities and Risks of Foundation Models

Reference 8

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Observation 751988a4-d9c3-4ca8-b11b-5b100e2d8ea9 · outbound

This paper cites Practical gauss-newton optimisation for deep learning.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Practical gauss-newton optimisation for deep learning

Reference 9

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Observation 600faa4a-5364-4450-ab5c-5d3f28a22197 · outbound

This paper cites MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration

Reference 10

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Observation ec7d9c38-71a3-44d4-be97-65e8a990e797 · outbound

This paper cites Trasmuon: Trust-region adaptive scaling for orthogonalized momentum optimizers.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Trasmuon: Trust-region adaptive scaling for orthogonalized momentum optimizers

Reference 11

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Observation dcac77e0-b47b-415a-a411-b26c8caf99f5 · outbound

This paper cites Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio

Reference 12

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Observation fa4bcda7-3491-47ee-b2cc-3c81a1526865 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 13

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Observation d75d5c23-6492-43f0-9485-df8221bb1c82 · outbound

This paper cites RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization

Reference 14

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Observation 35497ea9-3574-4945-b160-c8c682092b9f · outbound

This paper cites Aurora: A leverage-aware optimizer for rectangular matrices, 2026.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Aurora: A leverage-aware optimizer for rectangular matrices, 2026

Reference 15

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Observation e196038f-fd4d-4411-9a59-369f1f6ff6cb · outbound

This paper cites Towards quantifying the hessian structure of neural networks.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Towards quantifying the hessian structure of neural networks

Reference 16

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Observation 99428ecf-64fe-4b88-a9f1-2ec3117c8317 · outbound

This paper cites The newton-muon optimizer.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning The newton-muon optimizer

Reference 17

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Observation 8a581f8f-0e0a-48b3-9049-3b3e5f08e4d5 · outbound

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

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Adaptive subgradient methods for online learning and stochastic optimization

Reference 18

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Observation a96b7519-0c91-4333-8098-568399557158 · outbound

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MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Unresolved cited work

Reference 19

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Observation 3ff5130e-8936-4cf1-bfbd-db8ee45af184 · outbound

This paper cites What really matters in matrix-whitening optimizers? arXiv preprint arXiv:2510.25000 , 2025.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning What really matters in matrix-whitening optimizers? arXiv preprint arXiv:2510.25000 , 2025

Reference 20

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Observation 7564c7b1-8180-4413-bbe6-a4fb6d0a0a59 · outbound

This paper cites A stable whitening optimizer for efficient neural network training.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning A stable whitening optimizer for efficient neural network training

Reference 21

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Observation c461ad46-42e3-41ec-8773-b4eb95118592 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 22

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Observation a91d9292-2b83-4e33-8485-5792f703470b · outbound

This paper cites An investigation into neural net opti- mization via hessian eigenvalue density.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning An investigation into neural net opti- mization via hessian eigenvalue density

Reference 23

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This paper cites Openwebtext corpus, 2019.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Openwebtext corpus, 2019

Reference 24

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Observation dc80e3ad-45dd-4aa1-a7bf-161c4e6dd8d6 · outbound

This paper cites Accelerating newton-schulz itera- tion for orthogonalization via chebyshev-type polynomials.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Accelerating newton-schulz itera- tion for orthogonalization via chebyshev-type polynomials

Reference 25

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Observation bc6924d6-b91b-4d32-ad84-ef8bf84bec02 · outbound

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MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Shampoo: Preconditioned stochastic tensor optimization

Reference 26

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Observation 8d7483a2-cb1d-4057-8deb-244461e667ab · outbound

This paper cites Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training

Reference 27

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MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Spectra: Rethinking optimizers for llms under spectral anisotropy

Reference 28

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Observation 25c995a2-0d57-41d0-b221-8d117e3e047b · outbound

This paper cites Richter, Quentin Anthony, Timo- thée Lesort, Eugene Belilovsky, and Irina Rish.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Richter, Quentin Anthony, Timo- thée Lesort, Eugene Belilovsky, and Irina Rish

Reference 29

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Observation bf2caf02-75fb-4e9f-8144-759154d57b96 · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Muon: An optimizer for hidden layers in neural networks, 2024

Reference 30

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This paper cites Scaling Laws for Neural Language Models.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Scaling Laws for Neural Language Models

Reference 31

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MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Unresolved cited work

Reference 32

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Observation 100719c2-0716-4587-a6e3-cb8d99e8d99a · outbound

This paper cites Kingma and Jimmy Ba.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Kingma and Jimmy Ba

Reference 33

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Observation b3d1639e-91fc-4ab7-b5a2-3c11ea0e5ec3 · outbound

This paper cites Polargrad: A class of matrix-gradient optimizers from a unifying preconditioning perspective.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Polargrad: A class of matrix-gradient optimizers from a unifying preconditioning perspective

Reference 34

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Observation 57cc2817-d012-454c-bdf1-1005e17540a9 · outbound

This paper cites Variance-adaptive muon: Accelerating llm pretraining with nsr-modulated and variance-scaled momentum.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Variance-adaptive muon: Accelerating llm pretraining with nsr-modulated and variance-scaled momentum

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:24.412816Z digest=sha256:943c9f628c352904b9028dda5e8f664b56730182b39f38d60351dbb1df31a731

Observation 84a83b1a-e028-44a1-bcda-c48f040087e2 · outbound

This paper cites Normuon: Making muon more efficient and scalable.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Normuon: Making muon more efficient and scalable

Reference 36

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source=pdf_text observed=2026-08-06T05:39:24.468772Z digest=sha256:417d888d481d7b594985bbc516d452329d912b941abfbc0e507cdbc75b7b85ed

Observation 95c0c2e0-5f9a-44b4-8541-f739d53ae88c · outbound

This paper cites Muown: Row-Norm Control for Muon Optimization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Muown: Row-Norm Control for Muon Optimization

Reference 37

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source=pdf_text observed=2026-08-06T05:39:24.558872Z digest=sha256:ef97aaaf5ef5c8174b34e1f8fae13a767280d7356acbebd521c2155e58749e97

Observation d886fd75-eb11-4e76-9f21-4470fd037021 · outbound

This paper cites Sophia: A scalable stochas- tic second-order optimizer for language model pre-training.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Sophia: A scalable stochas- tic second-order optimizer for language model pre-training

Reference 38

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raw_fallback, observed 2026-08-06T05:39:28.611558Z

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.

source=pdf_text observed=2026-08-06T05:39:24.616382Z digest=sha256:e5377a0abfdf501b0ca582995918fa455cf5a731390f10a370684ca52861bbeb

Observation e89f7ad5-68be-459a-95aa-08a0dfaeeaa7 · outbound

This paper cites Muon is Scalable for LLM Training.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Muon is Scalable for LLM Training

Reference 39

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no resolver link, observed 2026-08-06T05:39:24.663989Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T05:39:24.663989Z digest=sha256:6c4d68a3146d796298871a96164478407e728b152d3184a48f1de8a19007df77

Observation 5eaf3f29-935c-4c0b-ac40-83891f8c99b4 · outbound

This paper cites Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning

Reference 40

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no resolver link, observed 2026-08-06T05:39:24.730413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:24.730413Z digest=sha256:5d416840b4e9e33bec8b34fd453389d1d94c8c431410bfa9c012a55eaaa30f4b

Observation 9d91e20a-def4-4152-9dc3-bfb263753a16 · outbound

This paper cites Decoupled weight decay regularization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Decoupled weight decay regularization

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.605395Z

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.

source=pdf_text observed=2026-08-06T05:39:24.830663Z digest=sha256:9609ea5360cd93bda5dc8d78d06b62566565fbd235f3ea908848e1597fe13a01

Observation 847a64fc-95e3-4421-84ab-8ebd769a342d · outbound

This paper cites Deep learning via hessian-free optimization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Deep learning via hessian-free optimization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.599074Z

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.

source=pdf_text observed=2026-08-06T05:39:24.877693Z digest=sha256:588decdf64a704d7c918edd1957f062d1aa75b96ab0df06e3841d2f154986d5b

Observation be82f11d-48f3-4b52-b86c-75d06bca31a2 · outbound

This paper cites Optimizing neural networks with kronecker-factored ap- proximate curvature.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Optimizing neural networks with kronecker-factored ap- proximate curvature

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.593286Z

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.

source=pdf_text observed=2026-08-06T05:39:24.968900Z digest=sha256:8e184c0e577756fad35d878d530dd8afc4cf09bce0a53cde5ffcacd53ce60fa7

Observation 6aa4c6de-ab4f-4edc-ac4a-2f33ba2ff0af · outbound

This paper cites The Llama 4 herd: The beginning of a new era of natively multimodal ai innovation.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning The Llama 4 herd: The beginning of a new era of natively multimodal ai innovation

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.587574Z

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.

source=pdf_text observed=2026-08-06T05:39:25.075999Z digest=sha256:e8b312207c5a6f236dc2e0aa8b6873c2227b1843b0474fa63105d8477b5dd81b

Observation 979b2823-0e0e-4a48-8b32-320969c1cf4c · outbound

This paper cites Large Language Models: A Survey.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Large Language Models: A Survey

Reference 45

Resolution
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no resolver link, observed 2026-08-06T05:39:25.129294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:25.129294Z digest=sha256:04f893d4691b3aad0e090e8dce4c78190e6d9f0e4b177942b405b84cfc908c48

Observation bfc6e6e2-efd5-42b2-b630-438bf513bcfb · outbound

This paper cites Improved convergence rates of muon optimizer for nonconvex optimization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Improved convergence rates of muon optimizer for nonconvex optimization

Reference 46

Resolution
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no resolver link, observed 2026-08-06T05:39:25.184092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:25.184092Z digest=sha256:4de0557d2fa708cd977e89cb3c0d68f7dd1764ad43fa0b115a61bd1565685901

Observation af076d3f-fb73-4ce8-9211-432cca962ff0 · outbound

This paper cites Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM

Reference 47

Resolution
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no resolver link, observed 2026-08-06T05:39:25.283911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:25.283911Z digest=sha256:1d76fffa668e107ee015f6b7e27e2be7ca9e46b4f4fce8b96bd9c77969426216

Observation 865b51ee-5e70-445d-9959-0d638a0d2556 · outbound

This paper cites Lectures on Convex Optimization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Lectures on Convex Optimization

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.581968Z

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.

source=pdf_text observed=2026-08-06T05:39:25.366069Z digest=sha256:743e23d1c2598da9ca468aad99d0da7bb28d71a7d5e9fb99eb47afa7f9236723

Observation 422b44ea-eee5-44a1-ad42-836e843d2a5d · outbound

This paper cites Spectral Flattening Is All Muon Needs: How Orthogonalization Controls Learning Rate and Convergence.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Spectral Flattening Is All Muon Needs: How Orthogonalization Controls Learning Rate and Convergence

Reference 49

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no resolver link, observed 2026-08-06T05:39:25.425674Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T05:39:25.425674Z digest=sha256:c75285299a6b33109f504f9a8f443c1813991bd0255df0beb77238299732517a

Observation 2ffd8691-ffad-4d4e-929e-bbc9cb8c81d0 · outbound

This paper cites an unresolved cited work.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:39:28.575764Z

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.

source=pdf_text observed=2026-08-06T05:39:25.516336Z digest=sha256:d94a944359db1847d282ec33054186e472de7c88a3767c090ac1df498c1dc334

Observation 346c4233-3319-490f-a9fb-fbe23cfae1f1 · outbound

This paper cites GPT-5.5 System Card.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning GPT-5.5 System Card

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.569816Z

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.

source=pdf_text observed=2026-08-06T05:39:25.586947Z digest=sha256:a46de6b9e2e2b2edb27a4333a22514a4c5bdd48cdbc5ca9d8b7b1d17da920cd4

Observation d5158dab-97e2-4ab6-8384-41759f24e32d · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Carbon Emissions and Large Neural Network Training

Reference 52

Resolution
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no resolver link, observed 2026-08-06T05:39:25.738766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:25.738766Z digest=sha256:5cb05de4973386a822081aa4200bc937c338d1d27eb49f93f0e9b74b6d01df08

Observation 977a3837-7089-4e90-b4e1-3ac8cbcdd601 · outbound

This paper cites ZeRO: Memory op- timizations toward training trillion parameter models.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning ZeRO: Memory op- timizations toward training trillion parameter models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.556582Z

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.

source=pdf_text observed=2026-08-06T05:39:25.828041Z digest=sha256:970e67a8ab6fadf772f163658d7c0ccc7ee5b89b95cc248673be18a95b1c8c3c

Observation 835fa588-2e5d-4c57-b07d-e377989d01d7 · outbound

This paper cites Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:39:27.826682Z

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.

source=pdf_text observed=2026-08-06T05:39:25.913526Z digest=sha256:8eab9763cea540c14483b70775b71d9c303f64d8ff07305e5c5fe86e8c2a1d5b

Observation 85f92efc-a105-4a85-b795-b5053d1c5b31 · outbound

This paper cites Sumo: Subspace- aware moment-orthogonalization for accelerating memory-efficient llm training.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Sumo: Subspace- aware moment-orthogonalization for accelerating memory-efficient llm training

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.549441Z

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.

source=pdf_text observed=2026-08-06T05:39:25.983033Z digest=sha256:c43c25138cb76dca6e48de56c4ba1c301f01898f3d6a6c92e3e08a7adce79eae

Observation 05b96157-b93f-4ab2-a973-2aec881ef778 · outbound

This paper cites Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Reference 56

Resolution
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no resolver link, observed 2026-08-06T05:39:26.067685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:26.067685Z digest=sha256:1ade97d8a839aba6404ef4cfa79213334a496e6a5b370bb3f51a51328ff09794

Observation de7ee2b9-7d88-4d49-87b4-097a681596d7 · outbound

This paper cites Empirical Analysis of the Hessian of Over-Parametrized Neural Networks.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Empirical Analysis of the Hessian of Over-Parametrized Neural Networks

Reference 57

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no resolver link, observed 2026-08-06T05:39:26.179219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:26.179219Z digest=sha256:a5612343898e63b42c54c4f18dca3de5ea2d542abc3ad197c0f5c5257d2ee348

Observation 609964e7-874e-47d6-8e72-c58e422582ea · outbound

This paper cites Uğur Güney, Yann Dauphin, and Léon Bottou.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Uğur Güney, Yann Dauphin, and Léon Bottou

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.541213Z

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.

source=pdf_text observed=2026-08-06T05:39:26.258425Z digest=sha256:6037481c40550100a839bf60768e5f28d426278c0269ec77c2fbb2cd5c3ef2ec

Observation 0ef54716-885a-49de-84e3-18f7c1e4c1bf · outbound

This paper cites Schraudolph.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Schraudolph

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.534369Z

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.

source=pdf_text observed=2026-08-06T05:39:26.260785Z digest=sha256:44b391a59854febf668f1036483d3d3140f7a65664b0ed35b5d7723e9eed91ba

Observation 6f64a6b1-b4d5-4c50-872e-1c161b6e8b0d · outbound

This paper cites Adafactor: Adaptive learning rates with sublinear memory cost.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Adafactor: Adaptive learning rates with sublinear memory cost

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.526545Z

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.

source=pdf_text observed=2026-08-06T05:39:26.264644Z digest=sha256:f45030d8953b3d88095881f8c93c1a7a6e5536d0e37854231c937b488b5fa611

Observation 8025c6f0-59d6-4b08-94b3-c7bbf64655aa · outbound

This paper cites On the Convergence Analysis of Muon.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning On the Convergence Analysis of Muon

Reference 61

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no resolver link, observed 2026-08-06T05:39:26.332071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:26.332071Z digest=sha256:7b80453a5633f854607211b4ca2e0efbee4dc0cfc4084855eced7c7fcd8c6f78

Observation 4164bb5b-71c0-49eb-820f-1695a73c7237 · outbound

This paper cites Adamuon: Adaptive muon optimizer.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Adamuon: Adaptive muon optimizer

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:26.456901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:26.456901Z digest=sha256:4c3699b6a186cb16f24e566ee9f68af10ebb7f37e38c78b01ef10212e0e72595

Observation 7b586bf1-f419-4aee-aad5-e696582c5492 · outbound

This paper cites Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:39:27.745528Z

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.

source=pdf_text observed=2026-08-06T05:39:26.579690Z digest=sha256:76cd39adf0c05e070d2a4aaa9b43b8fd5af6947345a3804d001f4979d73be600

Observation 5f2b02f1-26d1-4d3d-afd7-dcf2e6352409 · outbound

This paper cites an unresolved cited work.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Unresolved cited work

Reference 64

Resolution
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raw_fallback, observed 2026-08-06T05:39:28.518159Z

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.

source=pdf_text observed=2026-08-06T05:39:26.774695Z digest=sha256:50c6f26f8de571cbf962bdd67e77de111fa94d7ad866c9d89bb41aeddba7edf7

Observation 3c3ce6ad-8887-4eab-b3f1-9007f6ba02f4 · outbound

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

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Lecture 6.5—rmsprop: Divide the gradient by a running average of its recent magnitude

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.511308Z

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.

source=pdf_text observed=2026-08-06T05:39:26.946290Z digest=sha256:660531fc47893f0af05b20f3b8df97d6e6ed715891b25ae8cafcab7a2c6321b0

Observation 870192ab-1754-478f-b0e5-56c3203674f2 · outbound

This paper cites an unresolved cited work.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:39:28.503194Z

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.

source=pdf_text observed=2026-08-06T05:39:27.081879Z digest=sha256:2deea866264fcd823e34d21dc40eaeca473c9f3dabaec8e69547b829325539ae

Observation 5229fb1b-4dc2-43a6-a702-8f4bd84c2427 · outbound

This paper cites Under- standing warmup-stable-decay learning rates: A river valley loss landscape perspective.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Under- standing warmup-stable-decay learning rates: A river valley loss landscape perspective

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.494801Z

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.

source=pdf_text observed=2026-08-06T05:39:27.254893Z digest=sha256:08e02c0459a90002c158c8fd71b5bbeb06051f8fe1805896ece48ba65fe2c0f1

Observation dea124a5-336d-4a14-9fd9-54e05985f21d · outbound

This paper cites Fismo: Fisher-structured momentum-orthogonalized optimizer.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Fismo: Fisher-structured momentum-orthogonalized optimizer

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:27.365848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:27.365848Z digest=sha256:4539b47be4fc8c90f23f50ad90c566fe40f7074e00dfae8f92728e63c0cdfdcd

Observation bbbef76b-0e01-4e29-bd09-048d7d1122d9 · outbound

This paper cites an unresolved cited work.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:39:28.488254Z

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.

source=pdf_text observed=2026-08-06T05:39:27.388979Z digest=sha256:309e9001617f0c32002a471508fee4d70b95668b7981d7577e5763b756c23ffc

Observation 91772996-af74-47e2-8c83-6c547d26a035 · outbound

This paper cites Preconditioning for accelerated gradient descent optimization and regularization.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Preconditioning for accelerated gradient descent optimization and regularization

Reference 70

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unresolved
no resolver link, observed 2026-08-06T05:39:27.392259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:27.392259Z digest=sha256:80a1d9239a202cbfcac71908998d9672e8e1a4798b2fec082b707ac9eaad2744

Observation 39f4bcbf-ccc7-4656-96d3-a93ab7ea63b6 · outbound

This paper cites Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer

Reference 71

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no resolver link, observed 2026-08-06T05:39:27.395150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:27.395150Z digest=sha256:2ef03e53258f1ed1188074a75d1db31bf24cbfc6429ad1ed74175336ed0110db

Observation 28ae3ff4-ff1c-42ed-b929-5b80ab836b0a · outbound

This paper cites Gram newton–schulz: A fast, hardware-aware newton–schulz algorithm for muon.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Gram newton–schulz: A fast, hardware-aware newton–schulz algorithm for muon

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.481968Z

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.

source=pdf_text observed=2026-08-06T05:39:27.397763Z digest=sha256:bc358df9a1582d6190412186cd28efa45f8518bfd794f41749b67c090bbfed52

Observation 40de983d-b3d0-4ec0-93df-92dad791463c · outbound

This paper cites Adam improves muon: Adaptive moment estimation with orthogonalized momentum.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Adam improves muon: Adaptive moment estimation with orthogonalized momentum

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:27.400434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:27.400434Z digest=sha256:cfcf3ea8a1f74ee481cbaedd0779909ddbd8c97e37d2e12b4eddbbc88dedaea8

Observation f91eb9bd-6646-4f07-acd2-7f476676e1ce · outbound

This paper cites MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:27.402752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:27.402752Z digest=sha256:af82e1c240a525265a98249f809b228ed8f5c62b2ff48753966d86b68851b394

Observation 9dd9adc6-ddd0-4e5a-8f06-25ab3518c103 · outbound

This paper cites Mousse: Rectifying the geometry of muon with curvature-aware precon- ditioning.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Mousse: Rectifying the geometry of muon with curvature-aware precon- ditioning

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:27.405547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:27.405547Z digest=sha256:467e40a00a8665441a63198a0a173d9232b648166bb38ed352061596dc9eae5d

Observation 03b23904-8cec-424e-883e-b0c7b6c32b63 · outbound

This paper cites Why transformers need adam: A hessian perspective.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Why transformers need adam: A hessian perspective

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.474875Z

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.

source=pdf_text observed=2026-08-06T05:39:27.407857Z digest=sha256:9d6770ce1fe3c69529de815ed60ba90cf11b104480aa2d24b27664d2af2a7d23

Observation 0768044d-6441-4276-8884-5389d254a755 · outbound

This paper cites Kingma, Yinyu Ye, Zhi-Quan Luo, and Ruoyu Sun.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Kingma, Yinyu Ye, Zhi-Quan Luo, and Ruoyu Sun

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:39:28.467729Z

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.

source=pdf_text observed=2026-08-06T05:39:27.410019Z digest=sha256:424f4a7a1f3bd331085deb41df10da50907301dc406b27749bce2597d42b8ad0

Observation 7726f90d-7365-437a-8f4f-5cf2e5d312ce · outbound

This paper cites A Survey of Large Language Models.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning A Survey of Large Language Models

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:27.412157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:27.412157Z digest=sha256:f1558e601c9e9973e54661f9b3264b67a31547b53a5582d904f5c5cd11b539d3

Observation 83c71be2-6bfe-46d5-83fd-f1920dfce38b · outbound

This paper cites an unresolved cited work.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning Unresolved cited work

Reference 2026

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T05:39:28.563725Z

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.

source=pdf_text observed=2026-08-06T05:39:25.690287Z digest=sha256:b9db8a8951229a35b80bf703df7114a693b707645fc6d9a13e65795ec478122c

Pith citing papers

No inbound Pith citation observations are available.