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Paper Citation Record · LEDGER

Can Muon Fine-tune Adam-Pretrained Models?

As of 11 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 3 inbound Pith citation observations for arXiv:2605.10468.

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

pith.paper-citation-record.v1
2605.10468 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:53:11.469583Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:19:39.354599Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

89 of 89 outbound references displayed

  • verified exact5
  • verified fuzzy51
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch16

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a69aca6-32e3-48d7-b972-4ec1e8511dab · outbound

This paper cites 2024 , url =.

Can Muon Fine-tune Adam-Pretrained Models? 2024 , url =

Reference 1

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Observation a54ed0b9-8c48-4e55-902f-27a2fa02aa40 · outbound

This paper cites Kingma and Jimmy Ba , title =.

Can Muon Fine-tune Adam-Pretrained Models? Kingma and Jimmy Ba , title =

Reference 2

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Observation e2d4fe14-528a-436a-aabd-de4c49f40289 · outbound

This paper cites International Conference on Learning Representations , year =.

Can Muon Fine-tune Adam-Pretrained Models? International Conference on Learning Representations , year =

Reference 3

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Observation 6cf5ea67-3b49-4e40-9ffd-6a597ae35eb4 · outbound

This paper cites Muon is Scalable for LLM Training.

Can Muon Fine-tune Adam-Pretrained Models? Muon is Scalable for LLM Training

Reference 4

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Source-reported events for the cited work

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Observation bd2fbc96-4e95-4d56-8ad2-9384536099b7 · outbound

This paper cites Practical Efficiency of Muon for Pretraining.

Can Muon Fine-tune Adam-Pretrained Models? Practical Efficiency of Muon for Pretraining

Reference 5

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Observation 3e355b27-807e-4e37-ac1f-10960a9da443 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Can Muon Fine-tune Adam-Pretrained Models? Kimi K2: Open Agentic Intelligence

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 367ebd77-181c-4ac0-8c4c-d49a6c6b679d · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

Can Muon Fine-tune Adam-Pretrained Models? GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 7

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Observation af721adf-f816-4929-a980-326955656c03 · outbound

This paper cites 2025 , publisher =.

Can Muon Fine-tune Adam-Pretrained Models? 2025 , publisher =

Reference 8

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Source-reported events for the cited work

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This paper cites International Conference on Learning Representations , year =.

Can Muon Fine-tune Adam-Pretrained Models? International Conference on Learning Representations , year =

Reference 9

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Observation e42616f0-37d9-4dfa-9b61-51a5ea46f807 · outbound

This paper cites Psychology of learning and motivation , volume=.

Can Muon Fine-tune Adam-Pretrained Models? Psychology of learning and motivation , volume=

Reference 10

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Observation a01ad59f-8375-44c5-a699-98b7a0d90200 · outbound

This paper cites Trends in cognitive sciences , volume=.

Can Muon Fine-tune Adam-Pretrained Models? Trends in cognitive sciences , volume=

Reference 11

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Observation 82ab2da7-5cfb-4eda-be7c-1efad97ea5d8 · outbound

This paper cites Gower , title =.

Can Muon Fine-tune Adam-Pretrained Models? Gower , title =

Reference 12

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Source-reported events for the cited work

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Observation 520e6a6a-4952-44ff-908a-6b8f3231ee20 · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

Can Muon Fine-tune Adam-Pretrained Models? A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 13

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Source-reported events for the cited work

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Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Can Muon Fine-tune Adam-Pretrained Models? Advances in Neural Information Processing Systems , year=

Reference 15

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Observation 8c4dfad0-98b1-4ab5-8198-d7c4810d9e60 · outbound

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Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 16

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Observation ec3c3ade-4b18-4588-b866-e3f725afeb47 · outbound

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Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 17

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Observation 887ce54e-02e0-408f-91cc-3c54b265281f · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Can Muon Fine-tune Adam-Pretrained Models? Advances in Neural Information Processing Systems , year =

Reference 18

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Can Muon Fine-tune Adam-Pretrained Models? Advances in Neural Information Processing Systems , year =

Reference 19

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Can Muon Fine-tune Adam-Pretrained Models? International Conference on Learning Representations , year=

Reference 20

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Can Muon Fine-tune Adam-Pretrained Models? Old Optimizer, New Norm: An Anthology

Reference 21

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Can Muon Fine-tune Adam-Pretrained Models? The Implicit Bias of

Reference 22

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Can Muon Fine-tune Adam-Pretrained Models? Advances in Neural Information Processing Systems , year=

Reference 23

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Can Muon Fine-tune Adam-Pretrained Models? Transactions on Machine Learning Research , year=

Reference 24

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

Can Muon Fine-tune Adam-Pretrained Models? Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization

Reference 25

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Can Muon Fine-tune Adam-Pretrained Models? Dissecting

Reference 26

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Source-reported events for the cited work

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Reference 27

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Can Muon Fine-tune Adam-Pretrained Models? 2020 , booktitle=

Reference 28

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Can Muon Fine-tune Adam-Pretrained Models? Dion: Distributed Orthonormalized Updates

Reference 29

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Reference 30

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Can Muon Fine-tune Adam-Pretrained Models? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

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Reference 32

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Can Muon Fine-tune Adam-Pretrained Models? Liu , title =

Reference 33

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Can Muon Fine-tune Adam-Pretrained Models? Bowman , title=

Reference 34

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Can Muon Fine-tune Adam-Pretrained Models? 2018 , booktitle=

Reference 35

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Observation 36c3f9be-667b-40d4-843d-776d7a660be0 · outbound

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Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 36

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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.

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Observation 479ff287-9aa9-4923-bada-72e4560f419a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Can Muon Fine-tune Adam-Pretrained Models? Training Verifiers to Solve Math Word Problems

Reference 37

Resolution
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local_arxiv, observed 2026-05-12T06:51:28.719270Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:41cb3e4bd112a86c88cdc95257f445a8ba484d33807a70bac94021d2822ac13c

Observation 0b8a9cf0-3010-4eb2-ad87-404b334ff3dc · outbound

This paper cites 2024 , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? 2024 , booktitle=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.527654Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:2ec14d43ef032ffeeb4d27677af5a8a7cfcb1ff11b505a97c86318d2669a6ab6

Observation 9b140de3-1e84-4ceb-b8bf-d1be1c0d2188 · outbound

This paper cites 2021 , journal=.

Can Muon Fine-tune Adam-Pretrained Models? 2021 , journal=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.490297Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:e49695eb2a33821686948e7d5b7c2ec3cd57cba444767f3684845f48c44f0844

Observation 566255a3-0bf0-4ef3-b512-ce4114b79624 · outbound

This paper cites an unresolved cited work.

Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:41:44.583626Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:14062c49202be55deb54e1b60d151f1499c0000511c9810ea6af9740c6228884

Observation b15623de-5e2b-4232-9430-0fb415ce6b39 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Can Muon Fine-tune Adam-Pretrained Models? Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:51:28.665883Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:4bb4fde9ac381a2f9fdc24fb1039657afad6bdd3fae51022a1eb4ac88ab341e7

Observation ac976652-253e-49a1-814f-b8485f98f695 · outbound

This paper cites 2019 , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? 2019 , booktitle=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.531376Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:1baa96522943848f873bfc1de4a454a96874f732b78805a157466354efe299ea

Observation d20b8110-d99a-47fc-aa84-37b6a65aa226 · outbound

This paper cites 2020 , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? 2020 , booktitle=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.484716Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:65f32fe4217268ba2741ce195f962fdd99b3e8fa4ad24f432f951784e21c397d

Observation 083e1265-d180-4fbd-b108-ae340652ff0c · outbound

This paper cites 2020 , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? 2020 , booktitle=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.457545Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:49708cc008991d708cc045eb23c420672ceb71aed74407a45573fa00b1dd8a45

Observation a6a16712-796c-4c8c-bb86-024d3d1ef96a · outbound

This paper cites 2019 , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? 2019 , booktitle=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.466820Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:50bb997f8b6ac688488035e208987a94b5cc0d4cceb0abd5b0b8d59da56c9b00

Observation 4e81f818-9dcf-4e3e-a4dd-78d6108e90ef · outbound

This paper cites 2018 , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? 2018 , booktitle=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.471903Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:1da3742b999f20b0bad1fb7a160b2c195c4e678f0769d8a2e04b42de5e8562e1

Observation 976ab4f8-9486-44d7-93d2-ed4167f829f0 · outbound

This paper cites doi:10.5281/zenodo.12608602 , url =.

Can Muon Fine-tune Adam-Pretrained Models? doi:10.5281/zenodo.12608602 , url =

Reference 47

Resolution
verified exact
doi, observed 2026-05-12T03:56:20.860396Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:945d292df1de949c5a1005fb08d37f5add32aa591fe8efb5eea2fa175f096d85

Observation 82f14185-3092-4a97-8c6d-510b94bd82e2 · outbound

This paper cites an unresolved cited work.

Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:41:44.600205Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:af33598dc6b0a303c7a87e9ca110920fea2227f09a0210be6057c40f6bd86ba0

Observation 48eeb983-491a-4a7f-b713-2254d81f85b1 · outbound

This paper cites an unresolved cited work.

Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:41:44.435540Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:808d4350b4c8a58b772dcce8c4f5db4e1fc7efe49a9aa73eac2e4a3ee6a1e6ce

Observation 0ea67876-722c-4d58-bfb8-49b45c269cb2 · outbound

This paper cites Proceedings of the International Conference on Machine Learning , year =.

Can Muon Fine-tune Adam-Pretrained Models? Proceedings of the International Conference on Machine Learning , year =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.441203Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:b526819192f130d63072b1840075a7c9d91b89be502491c80905d6465e9a3ce4

Observation 8b12a214-09f5-4abc-9561-648a70b54b7a · outbound

This paper cites Proceedings of the IEEE International Conference on Computer Vision Workshops , year=.

Can Muon Fine-tune Adam-Pretrained Models? Proceedings of the IEEE International Conference on Computer Vision Workshops , year=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.426236Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:d04adfb5d764e32be9d8bca9f9d5814ae4dc4f40a883e6969828b65ac475b867

Observation c4911bd8-82b6-4cf4-9720-87763a19459f · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year =.

Can Muon Fine-tune Adam-Pretrained Models? Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.524721Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:bde144418a38db1ac986e8f089540e70d7fe6edac7872e1877e542631e469f3e

Observation 216c70e1-9961-4891-b41e-f84db5c964cf · outbound

This paper cites The German Traffic Sign Recognition Benchmark: A multi-class classification competition , year=.

Can Muon Fine-tune Adam-Pretrained Models? The German Traffic Sign Recognition Benchmark: A multi-class classification competition , year=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.546441Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:8f80a31e7d2f7e469996e3ca6e4d2dcde7787a92e9d3ec0a6fd98b53561b3a72

Observation 5e26df63-e17f-4407-9733-7d08090186e8 · outbound

This paper cites Remote Sensing Image Scene Classification: Benchmark and State of the Art , year=.

Can Muon Fine-tune Adam-Pretrained Models? Remote Sensing Image Scene Classification: Benchmark and State of the Art , year=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.498929Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:d2dba25c2e704252a321c6214d01e6cef30efaa8efa54c5f12dbc0fecdda0dc0

Observation a26001ab-b89b-4755-95d2-9f6e2eb8b902 · outbound

This paper cites and Oliva, Aude and Torralba, Antonio , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? and Oliva, Aude and Torralba, Antonio , booktitle=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.597062Z

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.

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Observation 2ecaff28-ad59-4b6b-ae71-f7ac7ed0effa · outbound

This paper cites NIPS workshop on deep learning and unsupervised feature learning , year=.

Can Muon Fine-tune Adam-Pretrained Models? NIPS workshop on deep learning and unsupervised feature learning , year=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.593774Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:cd84d76c3e0ffb5fc99f29e8a50971acee5eb8bda9b62ac1dcb67155794e4b92

Observation ce5bb158-5770-4c60-a04e-37caaf86c962 · outbound

This paper cites International Conference on Learning Representations , year=.

Can Muon Fine-tune Adam-Pretrained Models? International Conference on Learning Representations , year=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.606671Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:a7c408be8ef79f1cb7bab0137004feebf2a43556b0a5af38b80ea6bfd240e089

Observation 9a73b5b0-5f1b-407f-ab43-acc5db46857b · outbound

This paper cites International Conference on Learning Representations , year=.

Can Muon Fine-tune Adam-Pretrained Models? International Conference on Learning Representations , year=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.580125Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:7c9a21bac7f1d566088c72aecabc6e88be58cba9e889eaa58cddaa0a711fdb9f

Observation e17202f1-1857-435f-8a9f-172e53238d86 · outbound

This paper cites an unresolved cited work.

Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:41:44.603325Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:d06a30996b623fedec43af453de228ad1fade281be4990932ad3bdd6cb47ee63

Observation 1909cdd9-22e3-45f4-ac34-1033087cad28 · outbound

This paper cites an unresolved cited work.

Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:41:44.577071Z

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.

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Observation 30f3134a-5299-49db-ac76-063cbac5abec · outbound

This paper cites International Conference on Learning Representations , year=.

Can Muon Fine-tune Adam-Pretrained Models? International Conference on Learning Representations , year=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.610143Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:87cef07cc44cdeeda3b1706197ca43659cd1bf1287d3956504a7d0489bc748b4

Observation 25da8e20-d8b1-4278-bbc6-b20004c437cb · outbound

This paper cites 2025 , journal=.

Can Muon Fine-tune Adam-Pretrained Models? 2025 , journal=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.560396Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:998b6eec3d47f142d9a1e60eb8e0728ab8f5f1ae6e136f1c2b15833df0287bd0

Observation 9135876b-0168-4272-bede-593ef2f97dee · outbound

This paper cites Grishina, M.

Can Muon Fine-tune Adam-Pretrained Models? Grishina, M

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:51:28.695166Z

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.

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Observation 46768aea-7484-420b-ae50-d8ab53f3c543 · outbound

This paper cites ArXiv Preprint: 2511.00674 , Year =.

Can Muon Fine-tune Adam-Pretrained Models? ArXiv Preprint: 2511.00674 , Year =

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:51:28.685238Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:c66d12303f9fcd5c67adc78a2e4f31ef4d8dc9cc75d4e25431d454b5381d76c1

Observation 73e1b398-e803-40eb-898c-7e23c63f3010 · outbound

This paper cites Attention is All you Need , year =.

Can Muon Fine-tune Adam-Pretrained Models? Attention is All you Need , year =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.556809Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:f2922209b30f2267d090a3152bdfe006d2792dee37b6492f50133d62d429cbca

Observation edef0b79-4950-4789-a9b6-e6e3f2a461ce · outbound

This paper cites 2024 , issn =.

Can Muon Fine-tune Adam-Pretrained Models? 2024 , issn =

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:56:20.848968Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:2da338e3870f896a9dfbb2d25fbc327acf0826d6b3ddc19468d3673e986bbbd3

Observation b6d227bc-7198-496f-9108-db65cc3e93f2 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Can Muon Fine-tune Adam-Pretrained Models? Advances in Neural Information Processing Systems , year=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.550313Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:802711c11fd1e67a9fc7dba3b2719fb369ed88b884fbf89c8a8c34c48f707723

Observation 7270d405-bcb7-478c-b1d3-7452998032bf · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Can Muon Fine-tune Adam-Pretrained Models? Gaussian Error Linear Units (GELUs)

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:51:28.672647Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:78d0211b608f6f35bbc3b624bc52eefd4c3f2d05e68ef596e3ce3f44ebea3677

Observation 1e86e378-2c28-436f-9c3e-f6211602b68e · outbound

This paper cites doi:10.5281/zenodo.15403103 , url =.

Can Muon Fine-tune Adam-Pretrained Models? doi:10.5281/zenodo.15403103 , url =

Reference 69

Resolution
verified exact
doi, observed 2026-05-12T03:56:20.851985Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:c5af5ed2d80ba9c8531de2f852664719dcdb336d90519801deca621c73a06fe3

Observation 81134192-294f-4228-9594-526680ba3c61 · outbound

This paper cites 2024 , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? 2024 , booktitle=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.509175Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:2550ed680540605c2f3c517eee67c03919ce88a8dc23b1393526b7d9f813a8fa

Observation 166b2124-05e5-4679-9032-238947a65794 · outbound

This paper cites Kakade , booktitle=.

Can Muon Fine-tune Adam-Pretrained Models? Kakade , booktitle=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.420361Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:0759fcfa2171db596dcebe1e5964239eaa7e9c0d8edfbe37a717b18b246bf9f8

Observation f382f3e2-63c5-433e-9829-9e42ea2101f0 · outbound

This paper cites 2025 , journal=.

Can Muon Fine-tune Adam-Pretrained Models? 2025 , journal=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.429265Z

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=arxiv_source observed=2026-05-12T03:53:11.469583Z digest=sha256:1b5633638698fd74f35d5f06add45949286102e63451140c3a33c57001551f79

Observation e9c120da-03b8-45ab-9c70-ec0f424f4001 · outbound

This paper cites and Klusowski, Jason Matthew and Shigida, Boris , booktitle =.

Can Muon Fine-tune Adam-Pretrained Models? and Klusowski, Jason Matthew and Shigida, Boris , booktitle =

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:41:44.539128Z

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.

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Observation 64b188c4-6d19-445e-9104-55edb2aafee1 · outbound

This paper cites Query-Key Normalization for Transformers.

Can Muon Fine-tune Adam-Pretrained Models? Query-Key Normalization for Transformers

Reference 74

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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.

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Observation bc7b0c73-9f19-47be-a4d1-4b749615e73f · outbound

This paper cites International Conference on Learning Representations , year=.

Can Muon Fine-tune Adam-Pretrained Models? International Conference on Learning Representations , year=

Reference 75

Resolution
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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.

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Observation 27a8fc72-ee81-4ca1-8c5f-a2b3cddaf43d · outbound

This paper cites OpenAI blog , year=.

Can Muon Fine-tune Adam-Pretrained Models? OpenAI blog , year=

Reference 76

Resolution
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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.

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Observation 22c671cb-62d2-45e7-a830-c0bd1247e408 · outbound

This paper cites The large learning rate phase of deep learning: the catapult mechanism.

Can Muon Fine-tune Adam-Pretrained Models? The large learning rate phase of deep learning: the catapult mechanism

Reference 77

Resolution
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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.

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Observation 584d3828-3169-49ea-8960-7bb1ae7fd9a0 · outbound

This paper cites Thejas and Nipun Kwatra and Ramachandran Ramjee and Muthian Sivathanu , title =.

Can Muon Fine-tune Adam-Pretrained Models? Thejas and Nipun Kwatra and Ramachandran Ramjee and Muthian Sivathanu , title =

Reference 78

Resolution
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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.

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Observation a9856dbe-3c74-4549-83d3-c9ce712b0b08 · outbound

This paper cites International Conference on Machine Learning , year=.

Can Muon Fine-tune Adam-Pretrained Models? International Conference on Machine Learning , year=

Reference 79

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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.

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Observation cdba61d8-7243-4050-adbc-2e23e19582c9 · outbound

This paper cites an unresolved cited work.

Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 80

Resolution
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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.

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Observation a407ea2d-0bbb-4966-bade-847c266ab547 · outbound

This paper cites Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Can Muon Fine-tune Adam-Pretrained Models? Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 81

Resolution
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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.

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Observation 4638c3e8-134f-4fa1-9e61-36fcf90c5233 · outbound

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Can Muon Fine-tune Adam-Pretrained Models? Proceedings of the Conference on Empirical Methods in Natural Language Processing , year=

Reference 82

Resolution
verified fuzzy
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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.

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Observation d38805a7-94ca-4c6a-99eb-e6cac18a7222 · outbound

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Can Muon Fine-tune Adam-Pretrained Models? Proceedings of the Association for Computational Linguistics , year=

Reference 83

Resolution
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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.

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Observation f789671f-77a5-476e-b3a8-5a82cdd42e54 · outbound

This paper cites Scaling Laws for Forgetting When Fine-Tuning Large Language Models.

Can Muon Fine-tune Adam-Pretrained Models? Scaling Laws for Forgetting When Fine-Tuning Large Language Models

Reference 84

Resolution
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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.

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Observation 40e396ba-63a0-4fd1-afea-c8e993c15935 · outbound

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Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 85

Resolution
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Source-reported events for the cited work

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Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 86

Resolution
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Source-reported events for the cited work

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Observation 0cfa845d-e624-47c4-bb42-eb0d276a5d2c · outbound

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Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 87

Resolution
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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.

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Observation 2b38fab1-0c68-42e6-b67b-17134ab29151 · outbound

This paper cites an unresolved cited work.

Can Muon Fine-tune Adam-Pretrained Models? Unresolved cited work

Reference 88

Resolution
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Source-reported events for the cited work

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Observation 405b14c5-1f36-4cf4-b72f-ee8a77fd869e · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation.

Can Muon Fine-tune Adam-Pretrained Models? PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation

Reference 89

Resolution
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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.

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Pith citing papers

Observation 01673901-5d3c-4e49-850b-c3c4479d368f · inbound

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers cites this paper.

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers Can Muon Fine-tune Adam-Pretrained Models?

Reference 89

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Observation 8317e0a4-15fe-49e9-9eb4-f2affd78f164 · inbound

When Does Muon Help Agentic Reinforcement Learning? cites this paper.

When Does Muon Help Agentic Reinforcement Learning? Can Muon Fine-tune Adam-Pretrained Models?

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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When Does Muon Help Agentic Reinforcement Learning? cites this paper.

When Does Muon Help Agentic Reinforcement Learning? Can Muon Fine-tune Adam-Pretrained Models?

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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