Pith. sign in

Paper Citation Record · LEDGER

Modular Duality in Deep Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2410.21265.

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

pith.paper-citation-record.v1
2410.21265 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:20:53.725031Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.293501Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8a29298a-891d-4d77-baca-217d986a2364 · inbound

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training cites this paper.

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training Modular Duality in Deep Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T13:28:28.554180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:28:28.554180Z digest=sha256:d767e8b82a4aa2536a1128cf7c9d7f3ad5486c2d025b6e0cec595a6429acde05

Observation e104b005-4fdb-4942-9cd6-7ff6a9ed5fc9 · inbound

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning cites this paper.

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning Modular Duality in Deep Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T14:47:40.399031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:47:40.399031Z digest=sha256:e6e7d56136c6a836a4a2fe0aec8538d89aa11ad5e2bf88d4941cbb69077694d2

Observation a2a3852c-5027-443b-9386-3ce4e941ed6d · inbound

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

Training Deep Learning Models with Norm-Constrained LMOs Modular Duality in Deep Learning

Reference 159

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:22:37.015602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-21T21:22:36.870292Z digest=sha256:358d3517b144cd35fed4d800e0ae90aed4e7d6854e81efdfbdfeb6a7518e13e5

Observation a961ea67-c89f-43cf-98c2-d5e6ab5e16ad · inbound

Learning by solving differential equations cites this paper.

Learning by solving differential equations Modular Duality in Deep Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:22.495835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:22.495835Z digest=sha256:79a06a1076af6f38ed16d7fda3c52c1d4c946fc97cb8e2ac34dd7c90f7562a4e

Observation 5a4bcb9c-345c-4bb6-9d4e-f3ba9451baab · inbound

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

Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs) Modular Duality in Deep Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:20:53.725031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:20:53.725031Z digest=sha256:76608338f8be13500fb04acb075d477a313b69cb7c75751e260dffef014e5b3b

Observation 73cc3440-e0de-43e7-b254-d8501c99a660 · inbound

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models cites this paper.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Modular Duality in Deep Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T18:36:03.975857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:36:03.975857Z digest=sha256:748996f512169c7d6468ffb0dead5a4c8c800b965f90ea78a85e0302e93fd56c

Observation 3fe12a6e-83c1-43dd-9681-700cffe0ce6e · inbound

Low-rank Momentum Factorization for Memory Efficient Training cites this paper.

Low-rank Momentum Factorization for Memory Efficient Training Modular Duality in Deep Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:40.098289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:40.098289Z digest=sha256:95fab7603e7e251f6bf936719645019ad4dd96d3ecf725697ef76a117c4b78bb

Observation 525c5928-2fb5-452e-8e1d-f4c1d0bf2295 · inbound

ENSAM: an efficient foundation model for interactive segmentation of 3D medical images cites this paper.

ENSAM: an efficient foundation model for interactive segmentation of 3D medical images Modular Duality in Deep Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T15:54:27.348901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:54:27.348901Z digest=sha256:cbf060ef9cd6a2250050576c67bc2202d868e3e9f4e93e01817b54d61ef02291

Observation e00d30f1-c896-45e8-ba9c-a7ccd1f43fe1 · inbound

Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods cites this paper.

Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods Modular Duality in Deep Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:10:38.704244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T21:05:49.844436Z digest=sha256:8946678d01123c706f91dbf7f349e3aa98a314d2beb48eb082f9dddfb168d158

Observation 930d441e-fe2f-4a3c-987e-6ee6a1291d18 · inbound

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

Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization Modular Duality in Deep Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T03:56:38.947343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:56:38.947343Z digest=sha256:a1dcda9fd41885bd6db7b3c5422e97a8e17ef094de3aef2441fa50fafb06ca65

Observation f9c45aab-3c14-4310-8aea-872a5b89da6f · inbound

HTMuon: Improving Muon via Heavy-Tailed Spectral Correction cites this paper.

HTMuon: Improving Muon via Heavy-Tailed Spectral Correction Modular Duality in Deep Learning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:55:26.275684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:50:29.893126Z digest=sha256:1a82a76d2c5e33b49e63db321b258a3d0e492991a589d7c2e2801dab443473bf

Observation c0116fc5-4d2e-4979-9593-d089c92fb0c3 · inbound

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation cites this paper.

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation Modular Duality in Deep Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T17:23:44.758186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:23:44.758186Z digest=sha256:b1df04817ead0afeddeec136c67e71240dafc51041b8319bb33d6b365d6cc103

Observation db426e5b-2fb2-4d34-bd53-a983ca87e1ae · inbound

A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo cites this paper.

A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo Modular Duality in Deep Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:26:59.843993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T07:19:59.335184Z digest=sha256:9baee7b7f343b8a51c20568312fb2aa94a1d1ea42e5c79ac965fb9644793a86c

Observation 2d37797a-e03f-4428-9578-ca93e927fb41 · inbound

Pro-KLShampoo: Projected KL-Shampoo with Whitening Recovered by Orthogonalization cites this paper.

Pro-KLShampoo: Projected KL-Shampoo with Whitening Recovered by Orthogonalization Modular Duality in Deep Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:13.028343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T13:06:05.234216Z digest=sha256:e57a5bb1234a273cd8a0c73b2272816537685d4f3170ed4cd5d09282652ec1de

Observation 05939d19-8bed-4420-aa10-1108901a159c · inbound

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

OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling Modular Duality in Deep Learning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:55.574343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T02:47:08.766380Z digest=sha256:68ec7fc45b64d0da725deafbec6bd478e1a651c6a14aa71a150f6ffb719758af

Observation 5032579b-e852-48fe-b4d2-32b3f299236a · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Modular Duality in Deep Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:16:16.351281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:12:25.713592Z digest=sha256:948592b414188ae0b57214d9281e50f23f8ade8762bb41741d34386d6d7d27a4

Observation cea3ec6e-975a-4a7d-9a9f-0cd67e452abc · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Modular Duality in Deep Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:12:37.509271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T15:11:43.827012Z digest=sha256:e4a327975293b384e0e28009c6870bda9e89e86301c3d99ea0c4b98ecdd3d0d8

Observation 0c75b1d6-b680-493e-a7c3-8db89b406a4d · inbound

Muon Does Not Converge on Convex Lipschitz Functions cites this paper.

Muon Does Not Converge on Convex Lipschitz Functions Modular Duality in Deep Learning

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:41:39.538565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T02:22:01.364777Z digest=sha256:b02168ace4395279115ab9dc5283b632cf66af336c6a1402a2c274db7458b9f6

Observation f0a92b1b-bc02-4461-a8d5-d8205ee71d44 · inbound

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

Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds Modular Duality in Deep Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:36:26.332930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T05:07:39.558349Z digest=sha256:64fdf92f85bf731850ece69b92c1029185169e20da4a555be048e4a5ef9e7e1d

Observation 22b56f48-9114-4ecb-82bc-b4684cbbd276 · inbound

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation cites this paper.

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation Modular Duality in Deep Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:57:17.587986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T04:53:52.898843Z digest=sha256:7f94b968f3cea7e91bd3c12ee4bc604465a8ef3669df2879008f01be7e70a939

Observation 6af8c644-af95-4eac-be6f-c0dd6148f0e0 · inbound

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 Modular Duality in Deep Learning

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:49:44.879652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T04:45:20.091598Z digest=sha256:9df52ed7eaa669479f5fb16dbfd78df84bf0f30cc07f589f1f3d10ecb2be49bd

Observation 1f35a431-1ba4-40b5-bb84-723b7c000f67 · inbound

Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization cites this paper.

Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization Modular Duality in Deep Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:23:47.614326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T22:23:04.489609Z digest=sha256:3877e5581145969c4183e34217564f2e995f4835e8bc6a5138a4b0cad5caee35

Observation d94318c5-ba2a-41b8-84c9-77de146f909a · inbound

Stochastic convergence of parallel asynchronous adaptive first-order methods cites this paper.

Stochastic convergence of parallel asynchronous adaptive first-order methods Modular Duality in Deep Learning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.970235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T14:27:48.433313Z digest=sha256:8ec171ff69d95fabfecc7036bc3854b53108c7e2249b909a95353149280fc43e

Observation 74080cf3-bf21-4c9d-98ac-f0a235cdc9ee · inbound

Why Muon Outperforms Adam: A Curvature Perspective cites this paper.

Why Muon Outperforms Adam: A Curvature Perspective Modular Duality in Deep Learning

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:44.919762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T07:04:21.012269Z digest=sha256:a9bb94fdcc0208cb70c96a0ff0dd98ad343bc71e6ef09ade7091444b7dd8b2c4

Observation e51a6a11-9b07-4631-9ac8-f32a7f4c1236 · inbound

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention cites this paper.

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention Modular Duality in Deep Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.295201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T21:19:30.138022Z digest=sha256:3339d132dd9de3506571e1f798cd39fefa2642af7237b32f6bd12365b199429e

Observation c0f5a01f-11f3-4852-b61f-a9c78ecb7727 · inbound

Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks cites this paper.

Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks Modular Duality in Deep Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:28.174134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-30T07:58:57.890346Z digest=sha256:6407e50589b3303616f4c8cc5230619cb7527691a7406c70aecaa0d346705dfe

Observation 8566f835-0bb8-4445-bcd8-5b67c161c980 · inbound

Token Geometry cites this paper.

Token Geometry Modular Duality in Deep Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:57.423707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T21:08:26.712950Z digest=sha256:1b2f2f41ae9ed741777d76651497a8d353ad4db97c9bd9ad31ef696a0ddd1e6f

Observation 9730bbcb-219e-4d03-bd52-e9e427275bec · inbound

Token Geometry cites this paper.

Token Geometry Modular Duality in Deep Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T08:48:22.161005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:48:22.161005Z digest=sha256:debdd36c7d471e4fd63d8123d177d146ef20bd68fcecb78c059d2d6a6503758f

Observation aaecf7d6-2551-49c2-8625-f4128eec1b37 · inbound

Token Geometry cites this paper.

Token Geometry Modular Duality in Deep Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T15:40:53.015208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:40:53.015208Z digest=sha256:f26adaaaee121bd3f712d13d345f2fbd3bd7fafa2a59c0b753c512ca4cc4a6b9

Observation 130d9530-7a86-475b-8cf2-b4a381aa0fd3 · inbound

Reassessing Muon for Matrix Factorization cites this paper.

Reassessing Muon for Matrix Factorization Modular Duality in Deep Learning

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-02T05:49:24.942195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:49:24.942195Z digest=sha256:1f12307f0891216b3d639443e7f2941ec102dd58ea72a3c149f47a13a4f4d000

Observation 3773977a-28d1-4cee-b341-83bd46971ade · inbound

Reassessing Muon for Matrix Factorization cites this paper.

Reassessing Muon for Matrix Factorization Modular Duality in Deep Learning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-04T04:23:00.756777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T04:23:00.756777Z digest=sha256:d2c54a82e66e4bd51e5f3b3ce9722e52e0f114c07928a8c363747102db110b2f

Observation 9344d4b5-482f-4669-bde0-23ea357f164f · inbound

SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales cites this paper.

SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales Modular Duality in Deep Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T06:45:13.333343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:45:13.333343Z digest=sha256:3e4c14e38cda536018d2dcf9f400a87acca1eebdd7887291b957a614355f46a2

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

Muon Meets Mamba: Spectral Optimization for State Space Models cites this paper.

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

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T05:27:17.610179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:27:17.610179Z digest=sha256:e1fcf03b3f859ea6d94b802645e92a1d740ea74c91aa5fcb6a0b67b426c2204d