Pith. sign in

Paper Citation Record · LEDGER

Federated Compositional Muon Optimizer for Matrix-Wise Models

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.12710.

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

pith.paper-citation-record.v1
2608.12710 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:10:04.464210Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a631add8-cd19-4c76-af0f-f0bd72f65a9d · outbound

This paper cites On the Convergence of Muon and Beyond.

Federated Compositional Muon Optimizer for Matrix-Wise Models On the Convergence of Muon and Beyond

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.050751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.050751Z digest=sha256:fa169e4e08fe4c2b6fd982d615050ade9c3f5baed87836052ce2a2e229e23c1c

Observation 6192ee82-19e9-4df3-ac41-20cae44fb588 · outbound

This paper cites Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization.

Federated Compositional Muon Optimizer for Matrix-Wise Models Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.430235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.430235Z digest=sha256:86797bde79d2ead7b721e963a4fb6c309b23af6010caef2803eed54102631881

Observation a981cd09-1e58-4070-b97b-45f75943f550 · outbound

This paper cites Muon is Scalable for LLM Training.

Federated Compositional Muon Optimizer for Matrix-Wise Models Muon is Scalable for LLM Training

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.436936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.436936Z digest=sha256:e7f7efa5904bb0f1f743d0dd07c059c4a02b663fa0c38407e0357b959b147186

Observation 2a7b5a1a-5296-4b05-94d2-44cbb1c44107 · outbound

This paper cites Communication-Efficient Gluon in Federated Learning.

Federated Compositional Muon Optimizer for Matrix-Wise Models Communication-Efficient Gluon in Federated Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.445533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.445533Z digest=sha256:151583eedba2bcd277efaafe470e2216bee036313cdd6baf400f546972106f2a

Observation 1a8c1301-b041-430e-9862-a9621793adca · outbound

This paper cites Adaptive Federated Optimization.

Federated Compositional Muon Optimizer for Matrix-Wise Models Adaptive Federated Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.449951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.449951Z digest=sha256:2cc52ce9d317ee97cc5deece897109f339163cd7ef9901be434728196de8f777

Observation 566bf412-d620-4961-9df4-47fd531ec102 · outbound

This paper cites Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs).

Federated Compositional Muon Optimizer for Matrix-Wise Models Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.453731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.453731Z digest=sha256:9e25cf00a283d2cc547ac204a983569010d9c7d9d9d1c22dbbbfe0d11ae9e1c5

Observation c47bb14a-db1e-4f95-970a-29ba47302e99 · outbound

This paper cites Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise.

Federated Compositional Muon Optimizer for Matrix-Wise Models Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.457214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.457214Z digest=sha256:8ff61eb38b53421883c5920f2ff37c3ba53757001f1f6b88d0287d8a0504bdea

Observation 327bf47e-da4a-404c-91c4-401e5fa931d3 · outbound

This paper cites On the Convergence Analysis of Muon.

Federated Compositional Muon Optimizer for Matrix-Wise Models On the Convergence Analysis of Muon

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.460819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.460819Z digest=sha256:4c68cd4bfaa3065d26df8c1c5ccf8b94e72837c8a2b6c1fc74058ec93ffe5396

Observation a9ce83f6-ab43-4949-957c-1449bda4003d · outbound

This paper cites On provable benefits of muon in federated learning.arXiv preprint arXiv:2510.03866,.

Federated Compositional Muon Optimizer for Matrix-Wise Models On provable benefits of muon in federated learning.arXiv preprint arXiv:2510.03866,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.464210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.464210Z digest=sha256:fc2b36d6e9daa7a85024d9dad093e9e19cd309a50b6a4e3cd0bec09066b442f6

Observation dd031040-54ac-49a9-8e46-9273ffc48d28 · outbound

This paper cites A Note on the Convergence of Muon.

Federated Compositional Muon Optimizer for Matrix-Wise Models A Note on the Convergence of Muon

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.433781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.433781Z digest=sha256:aaa0efc3e4189a11abe688dff7c058e63650ca0f1d85d3bb0af2c9c9315a2093

Observation 6e71bf7f-a3df-45ca-be53-af30009dee14 · outbound

This paper cites Pointer Sentinel Mixture Models.

Federated Compositional Muon Optimizer for Matrix-Wise Models Pointer Sentinel Mixture Models

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.439835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.439835Z digest=sha256:7569fb45c32d051ae98f5d2d0f963e4fd2e5e6e6d39cc7788e6d29ce43bca4cb

Observation 6219d5ff-ae94-4e13-ba04-2cb92522c9bd · outbound

This paper cites Personalized Federated Learning: A Meta-Learning Approach.

Federated Compositional Muon Optimizer for Matrix-Wise Models Personalized Federated Learning: A Meta-Learning Approach

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.411308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.411308Z digest=sha256:3c21e3e356dac0284416a9d47a1ff3594a3685fab247d2254060b4b52e23f770

Observation 1816c1cf-c99f-4f90-b097-dd051279da03 · outbound

This paper cites Compositional federated learning: Applications in distributionally robust averaging and meta learning.

Federated Compositional Muon Optimizer for Matrix-Wise Models Compositional federated learning: Applications in distributionally robust averaging and meta learning

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-16T01:10:04.977144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:10:04.416412Z digest=sha256:35475c56694d129b5ab5baae0856780296e94fdb9ba76285acc87cc96fed6c00

Observation aa6c6e93-d652-4f9a-9c56-eb2b6393e7d9 · outbound

This paper cites LiMuon: Light and Fast Muon Optimizer for Large Models.

Federated Compositional Muon Optimizer for Matrix-Wise Models LiMuon: Light and Fast Muon Optimizer for Large Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.420191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.420191Z digest=sha256:653d32c385670c9f0a9131ab706473d35d7510758d9271b9be99546877dbf51e

Observation 332c29fa-f4b2-4cd7-9136-fc3d510be06b · outbound

This paper cites Advances and Open Problems in Federated Learning.

Federated Compositional Muon Optimizer for Matrix-Wise Models Advances and Open Problems in Federated Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.423511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.423511Z digest=sha256:75ef7457def66bb2171c7c51a275e9e0f3c0c9edfaa7581a3ae499b052b3b9cb

Observation aa5901c2-979c-440f-a459-6f6d5e6f333a · outbound

This paper cites Muon is provably faster with momentum variance reduction.arXiv preprint arXiv:2512.16598,.

Federated Compositional Muon Optimizer for Matrix-Wise Models Muon is provably faster with momentum variance reduction.arXiv preprint arXiv:2512.16598,

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.442662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.442662Z digest=sha256:cf88dd254553bb2088b775c6e4971431a8a784b599af23e39dd7abd7b1f324b1

Observation 8b78546a-6398-4d1c-9e20-789b4a889699 · outbound

This paper cites URLhttps://openreview.net/forum?id= 4uRlbSNevR.

Federated Compositional Muon Optimizer for Matrix-Wise Models URLhttps://openreview.net/forum?id= 4uRlbSNevR

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-16T01:10:04.426965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:10:04.426965Z digest=sha256:786372f093706034a5376b50f6929ca98cb0e3ec3589dd0525d179529f91e9d7

Pith citing papers

No inbound Pith citation observations are available.