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Paper Citation Record · LEDGER

Muon Meets Mamba: Spectral Optimization for State Space Models

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.03941.

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

pith.paper-citation-record.v1
2608.03941 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:27:17.924750Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation dba18d82-6b8c-4e8e-b1a2-1215ab9f7bdd · outbound

This paper cites state-spaces/mamba,.

Muon Meets Mamba: Spectral Optimization for State Space Models state-spaces/mamba,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5771c38c-a299-404e-96a3-f333d271184e · outbound

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

Muon Meets Mamba: Spectral Optimization for State Space Models Muon: An optimizer for hidden layers in neural networks,

Reference 2

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9f399ee2-9f90-4427-b087-f7b021cb10d3 · outbound

This paper cites Kellerjordan/Muon,.

Muon Meets Mamba: Spectral Optimization for State Space Models Kellerjordan/Muon,

Reference 3

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Observation 7fab7eaf-016d-4f5b-815c-1ebb90ce6aa6 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Muon Meets Mamba: Spectral Optimization for State Space Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29aceb7e-3aad-468c-96b9-032f32fc1966 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Muon Meets Mamba: Spectral Optimization for State Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 5

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Observation 7ee6bfd7-bd06-4b4d-a783-e4d41bf52916 · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,.

Muon Meets Mamba: Spectral Optimization for State Space Models Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,

Reference 6

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Observation 537067cc-9465-488d-9aa2-27449e7a7884 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Muon Meets Mamba: Spectral Optimization for State Space Models An Empirical Study of Mamba-based Language Models

Reference 7

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Observation be34c337-a8b1-4b52-bf64-66b8ef48351c · outbound

This paper cites Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.

Muon Meets Mamba: Spectral Optimization for State Space Models Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Reference 8

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Observation f0cf5a20-f2af-4b01-a94c-d2f97136214c · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Muon Meets Mamba: Spectral Optimization for State Space Models Jamba: A Hybrid Transformer-Mamba Language Model

Reference 9

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Observation 03480d38-200e-4ac2-8c6b-625581297d89 · outbound

This paper cites Decoupled weight decay regularization,.

Muon Meets Mamba: Spectral Optimization for State Space Models Decoupled weight decay regularization,

Reference 10

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Observation ae8e6214-5bb5-4a97-99ef-c705261f6be6 · outbound

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

Muon Meets Mamba: Spectral Optimization for State Space Models Why transformers need adam: A hessian perspective,

Reference 11

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Observation d2635f82-f9a4-4d0b-b59f-8d455312eb19 · outbound

This paper cites Heavy- tailed class imbalance and why adam outperforms gradient descent on language models,.

Muon Meets Mamba: Spectral Optimization for State Space Models Heavy- tailed class imbalance and why adam outperforms gradient descent on language models,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4e96dacf-3e2f-44a5-9d04-d6acdee852fa · outbound

This paper cites Deconstructing What Makes a Good Optimizer for Language Models.

Muon Meets Mamba: Spectral Optimization for State Space Models Deconstructing What Makes a Good Optimizer for Language Models

Reference 13

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Observation 92a61aa8-8026-47ed-84e0-966267665168 · outbound

This paper cites Scalable Second Order Optimization for Deep Learning.

Muon Meets Mamba: Spectral Optimization for State Space Models Scalable Second Order Optimization for Deep Learning

Reference 14

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Observation 6ec7bf56-7c37-4897-b8e9-256fc8d7d013 · outbound

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

Muon Meets Mamba: Spectral Optimization for State Space Models A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

Reference 15

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Observation fb9ccb0d-38e0-45fa-a16c-bc11f2f208f1 · outbound

This paper cites Muon is Scalable for LLM Training.

Muon Meets Mamba: Spectral Optimization for State Space Models Muon is Scalable for LLM Training

Reference 16

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Observation d8a27319-3479-42da-a504-320ca13f9df6 · outbound

This paper cites Old Optimizer, New Norm: An Anthology.

Muon Meets Mamba: Spectral Optimization for State Space Models Old Optimizer, New Norm: An Anthology

Reference 17

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Observation 6e03d072-2279-4b47-86ce-f4814c5d1017 · outbound

This paper cites Modular Duality in Deep Learning.

Muon Meets Mamba: Spectral Optimization for State Space Models Modular Duality in Deep Learning

Reference 18

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Observation c8fe9f5f-ed44-42f9-9b6d-bb39f296ca82 · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Muon Meets Mamba: Spectral Optimization for State Space Models Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 19

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Observation 2b43c7eb-dc96-4b24-80fe-2d184cf0c31a · outbound

This paper cites Implicit self-regularization in deep neural networks: Evidence from random matrix theory and implications for learning,.

Muon Meets Mamba: Spectral Optimization for State Space Models Implicit self-regularization in deep neural networks: Evidence from random matrix theory and implications for learning,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1f5958f0-1f77-4adc-b31a-3da73ef2ed13 · outbound

This paper cites The effective rank: A measure of effective dimensionality,.

Muon Meets Mamba: Spectral Optimization for State Space Models The effective rank: A measure of effective dimensionality,

Reference 21

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 695a283b-5ca5-4c9c-818a-ce67faec670c · outbound

This paper cites OpenWebText cor- pus,.

Muon Meets Mamba: Spectral Optimization for State Space Models OpenWebText cor- pus,

Reference 22

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6aff4842-cbb2-41f5-822c-5f85a33b7786 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Muon Meets Mamba: Spectral Optimization for State Space Models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 23

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Observation a7b33d02-6171-40ef-a367-3e88236a310b · outbound

This paper cites Training Compute-Optimal Large Language Models.

Muon Meets Mamba: Spectral Optimization for State Space Models Training Compute-Optimal Large Language Models

Reference 24

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Observation eb38cf7d-da4b-4470-87ce-f33426d6853b · outbound

This paper cites 10 041–10 071.

Muon Meets Mamba: Spectral Optimization for State Space Models 10 041–10 071

Reference 235

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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