Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Muon is Scalable for LLM Training
As of 5 August 2026, this Paper Citation Record lists 100 of 114 outbound references and 100 inbound Pith citation observations for arXiv:2502.16982.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:51:05.313853Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T21:57:38.615639Z
Reference resolution
100 of 114 outbound references displayed
- verified exact4
- verified fuzzy68
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch26
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fb514fb3-d163-4219-bfbc-d7c18563d097 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.778741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 886ce2dd-d23f-4fb6-a33b-514a8a83d9c3 · outbound
This paper cites 2017 , eprint=.
Muon is Scalable for LLM Training 2017 , eprint=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.793592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d3b8bed8-e591-44bb-ba0f-544b61312d4e · outbound
This paper cites The effective rank: A measure of effective dimensionality , year=.
Muon is Scalable for LLM Training The effective rank: A measure of effective dimensionality , year=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.799753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d64caa3a-8fa7-4841-9acf-f4b88581c6e3 · outbound
This paper cites Brown and David Botstein , title =.
Muon is Scalable for LLM Training Brown and David Botstein , title =
Reference 4
- Resolution
- verified exact
- doi, observed 2026-05-11T23:02:51.860430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b8188d2-9275-4586-a29b-376a6ae44505 · outbound
This paper cites 2023 , eprint=.
Muon is Scalable for LLM Training 2023 , eprint=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.804186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aef93166-9bd0-4f18-8085-1907ad5e7baa · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.807812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a941ef3-59e7-4c5c-aa90-6df531766d9b · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Muon is Scalable for LLM Training Advances in Neural Information Processing Systems , volume=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.812664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2beb3b2b-a8b7-4807-96ee-9f12ce2719da · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Muon is Scalable for LLM Training Advances in Neural Information Processing Systems , volume=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.820688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56f944c8-504e-425a-ba49-eec402a91bac · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Muon is Scalable for LLM Training Advances in Neural Information Processing Systems , volume=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.826851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3038a8e9-a940-44eb-aa91-1161e362c1e7 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Muon is Scalable for LLM Training Advances in Neural Information Processing Systems , volume=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.831674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b219efbb-de3e-40cd-9cd7-17550a6aeb17 · outbound
This paper cites YaRN: Efficient Context Window Extension of Large Language Models.
Muon is Scalable for LLM Training YaRN: Efficient Context Window Extension of Large Language Models
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:46:51.373347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5432d18c-db72-404c-b234-3c7b78834898 · outbound
This paper cites MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation , year=.
Muon is Scalable for LLM Training MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation , year=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.837217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation efe04cd2-d40e-49cc-9c53-0a2e03168609 · outbound
This paper cites IEEE transactions on Systems Science and Cybernetics , volume=.
Muon is Scalable for LLM Training IEEE transactions on Systems Science and Cybernetics , volume=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.848348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b655815f-1d16-4b1d-9f0e-61cbff7a30fd · outbound
This paper cites International conference on computers and games , pages=.
Muon is Scalable for LLM Training International conference on computers and games , pages=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.853325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 19db4135-72eb-4705-bff6-7954e08497f8 · outbound
This paper cites European conference on machine learning , pages=.
Muon is Scalable for LLM Training European conference on machine learning , pages=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.857885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ba6d9d32-e677-40a0-8f37-023d298fe290 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Muon is Scalable for LLM Training Advances in Neural Information Processing Systems , volume=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.869987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b77600a2-1578-4996-92e0-53f2ea8bc468 · outbound
This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.
Muon is Scalable for LLM Training Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T06:38:37.536547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 454dbe6f-7d6d-45cd-9182-ee68d466bed7 · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Muon is Scalable for LLM Training Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:52.253433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 25fbcfea-0db0-43f8-935f-5fa23cb5b2e9 · outbound
This paper cites Advances in neural information processing systems , volume=.
Muon is Scalable for LLM Training Advances in neural information processing systems , volume=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.878144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a97ed35f-381e-45e4-853b-52b45d252804 · outbound
This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.
Muon is Scalable for LLM Training Generative Verifiers: Reward Modeling as Next-Token Prediction
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.312751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee4b0765-b7e8-4e73-bcb9-54cbd5bbbb37 · outbound
This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.
Muon is Scalable for LLM Training Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:42:22.769824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c08fb611-51ed-4a05-81fc-0e9df8b6a122 · outbound
This paper cites International Conference on Machine Learning , pages=.
Muon is Scalable for LLM Training International Conference on Machine Learning , pages=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.882834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f8f6113d-ac82-4ac8-b223-d044059720c0 · outbound
This paper cites Proceedings of the 28th International Joint Conference on Artificial Intelligence , pages=.
Muon is Scalable for LLM Training Proceedings of the 28th International Joint Conference on Artificial Intelligence , pages=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.887700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce92ea2b-0577-448c-bb91-92038e927280 · outbound
This paper cites Mirror Descent Policy Optimization.
Muon is Scalable for LLM Training Mirror Descent Policy Optimization
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.240735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bff0a9b5-3de0-4a08-b0ab-e8d6a307c037 · outbound
This paper cites Advances in neural information processing systems , volume=.
Muon is Scalable for LLM Training Advances in neural information processing systems , volume=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.903038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9584fd9d-7dd7-4646-ac66-67c7309c143e · outbound
This paper cites an unresolved cited work.
Muon is Scalable for LLM Training Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T23:02:52.908300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c572c383-e3a0-4b64-81aa-9aa0b40dcbae · outbound
This paper cites Neurocomputing , volume=.
Muon is Scalable for LLM Training Neurocomputing , volume=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.915322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ecc027d-356b-4301-9e74-1e1d66aed3b6 · outbound
This paper cites 2024 , url=.
Muon is Scalable for LLM Training 2024 , url=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.920360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 745d6af4-01ba-4076-a8f9-7ee54fc918f8 · outbound
This paper cites 2020 , eprint=.
Muon is Scalable for LLM Training 2020 , eprint=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.925202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 47e734c1-68d0-4c6d-b134-557405cd62ac · outbound
This paper cites Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=.
Muon is Scalable for LLM Training Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.930560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 218fdfe9-dd08-4663-92fb-e71f40e9b444 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.937454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51fe9497-b28b-405b-bd37-7ee887bcc684 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.944713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f347ae0-d2b3-4a06-8852-81fadffebc0f · outbound
This paper cites Attention is All you Need , url =.
Muon is Scalable for LLM Training Attention is All you Need , url =
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.954370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 47715c98-443d-4357-b9aa-1935978d4d4e · outbound
This paper cites ArXiv , year=.
Muon is Scalable for LLM Training ArXiv , year=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.959643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3884b18c-2c95-41e0-b61c-e6016444b9a3 · outbound
This paper cites North American Chapter of the Association for Computational Linguistics , year=.
Muon is Scalable for LLM Training North American Chapter of the Association for Computational Linguistics , year=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.964869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ef53054-c7c7-4b06-bebe-003e2e18272a · outbound
This paper cites ArXiv , year=.
Muon is Scalable for LLM Training ArXiv , year=
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.970007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9c4206c1-73ef-4da8-8d4f-1125511f16b5 · outbound
This paper cites 2024 , journal=.
Muon is Scalable for LLM Training 2024 , journal=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.974239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42a8f0af-be7a-4117-b39b-4648b0f9b409 · outbound
This paper cites International Conference on Computational Linguistics , year=.
Muon is Scalable for LLM Training International Conference on Computational Linguistics , year=
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.979536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca864ecf-6c9e-45f8-b69b-bf1aea58544f · outbound
This paper cites ArXiv , year=.
Muon is Scalable for LLM Training ArXiv , year=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.362347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5abf61a-7a9d-43ce-9284-3e19c05b52a9 · outbound
This paper cites ArXiv , year=.
Muon is Scalable for LLM Training ArXiv , year=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.373362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 259b7364-c77d-4c74-a145-98f984338d56 · outbound
This paper cites ArXiv , year=.
Muon is Scalable for LLM Training ArXiv , year=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.381475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1a7366c6-3d29-474c-93af-70d0191b028e · outbound
This paper cites Let's Verify Step by Step.
Reference 42
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:51.885074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b18c9154-cbfe-4a1c-b7dc-8debf06b2534 · outbound
This paper cites Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.
Muon is Scalable for LLM Training Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T20:45:37.909362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46e1fea2-eee6-4e06-a972-6b49dd525922 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
Muon is Scalable for LLM Training Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.391769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 837a51a9-5e67-4a82-bdc8-4dab344e566f · outbound
This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
Muon is Scalable for LLM Training MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:51.940482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c6e22c65-b264-4d57-9f4c-6d554820de07 · outbound
This paper cites Bag of Tricks for Efficient Text Classification.
Muon is Scalable for LLM Training Bag of Tricks for Efficient Text Classification
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.041442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0fe3862-babb-4845-928e-3732197b3774 · outbound
This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
Muon is Scalable for LLM Training M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:52.058712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 49884703-9a55-46ec-ace3-0babb8b1dc27 · outbound
This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.
Muon is Scalable for LLM Training The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T04:36:45.776658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b92e572-5f33-4239-b90a-7faa28f0ed05 · outbound
This paper cites DataComp-LM: In search of the next generation of training sets for language models.
Muon is Scalable for LLM Training DataComp-LM: In search of the next generation of training sets for language models
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:58:17.761776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 69ad38c9-2a10-47e0-8daf-ff886b1b8b93 · outbound
This paper cites OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.
Muon is Scalable for LLM Training OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.122348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4817a92b-4d58-4eb8-8dbf-5b32f884855f · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.409671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 71cd9f16-bac3-42cc-bad7-e63b2ab8adbf · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.419390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3cfd9307-426a-4237-a64b-10268a5adc5c · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.429650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5309a0e4-bbe1-46cf-b595-07a34d1ce3b0 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.439344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 863a3ad5-6f54-4f78-b28c-fb028a5e851e · outbound
This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.
Muon is Scalable for LLM Training MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T23:46:39.773471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b11cfc50-8406-40d3-a048-37ecaeeb235a · outbound
This paper cites Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset.
Muon is Scalable for LLM Training Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.280166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a6ce351-a034-489c-ab0e-dcb263f03aba · outbound
This paper cites Reinforced Self-Training (ReST) for Language Modeling.
Muon is Scalable for LLM Training Reinforced Self-Training (ReST) for Language Modeling
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.299431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 24648568-03a9-427e-8527-ae940339d12f · outbound
This paper cites nature , volume=.
Muon is Scalable for LLM Training nature , volume=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.446057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d226672c-2fbc-4a49-953c-54051a936ea9 · outbound
This paper cites nature , volume=.
Muon is Scalable for LLM Training nature , volume=
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.452706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d1e62c1-c4bc-451e-833a-0b6314859c9a · outbound
This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.
Muon is Scalable for LLM Training Dota 2 with Large Scale Deep Reinforcement Learning
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T22:18:16.018301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0cb61bc2-57fb-430f-8858-cf56bb15c7d1 · outbound
This paper cites Advances in neural information processing systems , volume=.
Muon is Scalable for LLM Training Advances in neural information processing systems , volume=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.462678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a4982843-a78a-4e39-a2db-6254f9a8c684 · outbound
This paper cites OpenAI o1 System Card.
Reference 62
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:51.896015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6d2d216c-a8ec-45ad-85e5-abcf105a04e0 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.473591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 43dbd1b0-49b2-45ac-b3d2-78b5687f14df · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.486494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ba30ccc-ff60-4982-9a27-e58d5ab7f6d8 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Muon is Scalable for LLM Training Advances in Neural Information Processing Systems , volume=
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.492668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2a9b8a1f-0e12-46e7-a21d-d42e47d42237 · outbound
This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
Muon is Scalable for LLM Training Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:16:05.189340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8d3ec19a-861c-4a7f-8993-442add9c6c59 · outbound
This paper cites 2020 , eprint=.
Muon is Scalable for LLM Training 2020 , eprint=
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.500737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0edcdcdd-c3fb-4829-bf26-4dbb9eac454f · outbound
This paper cites 2022 , eprint=.
Muon is Scalable for LLM Training 2022 , eprint=
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.508726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9247de9c-dbca-4cfc-9353-d3ebd6eda934 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.520076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cf9cb028-ce10-4708-b546-9eac009236a6 · outbound
This paper cites 2023 , eprint=.
Muon is Scalable for LLM Training 2023 , eprint=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.525423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b73bebb-7e9d-4dae-9ec4-25d3d96d9260 · outbound
This paper cites General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model.
Muon is Scalable for LLM Training General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T20:50:57.985910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c04232aa-f25a-4a92-8760-f1cb83beb0a3 · outbound
This paper cites 2021 , eprint=.
Muon is Scalable for LLM Training 2021 , eprint=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.534241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation be3f4f2f-1e36-4708-a436-c187dfd25a42 · outbound
This paper cites International Conference on Learning Representations , year=.
Muon is Scalable for LLM Training International Conference on Learning Representations , year=
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.542398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d92228bd-9519-474b-a53d-5786dc40b4b8 · outbound
This paper cites What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.
Muon is Scalable for LLM Training What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Reference 74
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.146183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8185dbc5-4548-4b35-b7aa-1c461762f290 · outbound
This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.
Muon is Scalable for LLM Training From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.179429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9f0f70c-a7dd-4908-904b-d89ee30a0c47 · outbound
This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.
Muon is Scalable for LLM Training Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65ca70d8-8452-4428-aaca-1b1968a32574 · outbound
This paper cites 2024 , url =.
Muon is Scalable for LLM Training 2024 , url =
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.554669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2cc933f4-5fa3-481e-b972-5e83562bf20b · outbound
This paper cites International Conference on Learning Representations , year=.
Muon is Scalable for LLM Training International Conference on Learning Representations , year=
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.563135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 62acc690-6490-460c-aef6-6368b83111e4 · outbound
This paper cites 2024 , month = Oct, url =.
Muon is Scalable for LLM Training 2024 , month = Oct, url =
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.568447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eabc162d-b034-4ac0-84f3-174f869b1f5d · outbound
This paper cites 2024 , url =.
Muon is Scalable for LLM Training 2024 , url =
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.580131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1cc1be1f-15d2-44e0-8557-bb616d4d9d4e · outbound
This paper cites Kingma and Jimmy Ba , editor =.
Muon is Scalable for LLM Training Kingma and Jimmy Ba , editor =
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.586463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1790b3d-761c-4076-b2bf-c736a36bb187 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
Muon is Scalable for LLM Training The Twelfth International Conference on Learning Representations , year=
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.591632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eab95519-6437-4218-91a6-f8ce0b193ccf · outbound
This paper cites Kakade , booktitle=.
Muon is Scalable for LLM Training Kakade , booktitle=
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.596864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7164ae32-d75e-4f41-90be-c777bf4b3a31 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.606188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e9ae587-8672-4b42-8429-ede093b82551 · outbound
This paper cites Generalized Slow Roll for Tensors.
Muon is Scalable for LLM Training Generalized Slow Roll for Tensors
Reference 85
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:51.871689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3f2a0681-8893-47c9-9788-51b10763fb44 · outbound
This paper cites Qwen2.5 Technical Report.
Reference 86
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:52.338525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3042fe40-f88e-48de-9612-f6d904d6ba39 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.611223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5beb1a16-9548-41de-a50a-a8df575e0e2b · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.622339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ca70984-6f90-45b4-848d-da4d5cef47e0 · outbound
This paper cites 2024 , email =.
Muon is Scalable for LLM Training 2024 , email =
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.631347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 267dfd4b-1a3a-4ed6-9c47-00928948093e · outbound
This paper cites an unresolved cited work.
Muon is Scalable for LLM Training Unresolved cited work
Reference 90
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T23:02:52.636172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d90a456-eb1b-4a75-bc4c-878908725abb · outbound
This paper cites 2025 , eprint=.
Muon is Scalable for LLM Training 2025 , eprint=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.646251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c8c2a863-01b1-4057-afbf-66ab9330d08f · outbound
This paper cites 2025 , url=.
Muon is Scalable for LLM Training 2025 , url=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.662230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 085eef7e-99e0-4653-a839-7f65fa8a4361 · outbound
This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
Muon is Scalable for LLM Training DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Reference 93
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:51.951346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 19daf070-9e86-4e00-9fc2-cad4bbef2b63 · outbound
This paper cites 2 OLMo 2 Furious.
Reference 94
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:51.983358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0099226d-dcb8-4b66-915a-790e5a06eba1 · outbound
This paper cites 2019 , eprint=.
Muon is Scalable for LLM Training 2019 , eprint=
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.670572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 28e75e17-90e1-45b1-8283-28ba35d04394 · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
Muon is Scalable for LLM Training Gemma 2: Improving Open Language Models at a Practical Size
Reference 96
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:02:52.022870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 239e3013-ac07-4a2c-aadc-ebace1e1b24e · outbound
This paper cites 2024 , month=.
Muon is Scalable for LLM Training 2024 , month=
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.678187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9cfec47-2c93-48e6-a9e4-c66e6aa25b00 · outbound
This paper cites 2021 , eprint=.
Muon is Scalable for LLM Training 2021 , eprint=
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.682511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b078db38-f633-4b5e-a137-46673d6bfed2 · outbound
This paper cites 2024 , eprint=.
Muon is Scalable for LLM Training 2024 , eprint=
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.686683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 53530e26-5765-491b-91d6-199387f19311 · outbound
This paper cites 2022 , eprint=.
Muon is Scalable for LLM Training 2022 , eprint=
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T23:02:52.692691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 1c8d5c47-a6a5-40c7-adad-c9db58cfed8d · inbound
Eliciting Latent Predictions from Transformers with the Tuned Lens cites this paper.
Eliciting Latent Predictions from Transformers with the Tuned Lens Muon is Scalable for LLM Training
Reference 104
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T16:54:37.589737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bd0c1398-2ded-4a28-bf0f-31c707348370 · inbound
GWT: Scalable Optimizer State Compression for Large Language Model Training cites this paper.
GWT: Scalable Optimizer State Compression for Large Language Model Training Muon is Scalable for LLM Training
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T05:57:36.698034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1abb37ca-9b1e-4a01-a0ab-727623b95114 · inbound
Training Deep Learning Models with Norm-Constrained LMOs cites this paper.
Training Deep Learning Models with Norm-Constrained LMOs Muon is Scalable for LLM Training
Reference 195
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:22:37.053910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bb2dc52c-4fe7-4999-8f96-38a57c4de888 · inbound
SpaceR: Reinforcing MLLMs in Video Spatial Reasoning cites this paper.
SpaceR: Reinforcing MLLMs in Video Spatial Reasoning Muon is Scalable for LLM Training
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T15:18:43.909761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 779f8ea5-0cab-4f2c-abc8-edb41048c54d · inbound
Kimi-Audio Technical Report cites this paper.
Kimi-Audio Technical Report Muon is Scalable for LLM Training
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 028443af-ccb7-41c9-b7b5-5de65298e426 · inbound
On the Convergence Analysis of Muon cites this paper.
On the Convergence Analysis of Muon Muon is Scalable for LLM Training
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T13:22:19.180929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ac2c9a3-d5ce-4a81-bdec-76d82c467ae7 · inbound
Memory-Efficient LLM Pretraining via Minimalist Optimizer Design cites this paper.
Memory-Efficient LLM Pretraining via Minimalist Optimizer Design Muon is Scalable for LLM Training
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T13:24:53.207881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 23c85ed5-aa98-44c1-b5fb-1e0a6e8d7cc8 · inbound
Kimi K2: Open Agentic Intelligence cites this paper.
Kimi K2: Open Agentic Intelligence Muon is Scalable for LLM Training
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd200900-e693-451a-8f30-4c6a5327215a · inbound
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models cites this paper.
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models Muon is Scalable for LLM Training
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d84da147-e5ab-4ced-ac32-2eb0ea9b1545 · inbound
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? cites this paper.
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Muon is Scalable for LLM Training
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8106248e-29ca-4ddb-a302-3578382c0ab9 · inbound
Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training cites this paper.
Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training Muon is Scalable for LLM Training
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T15:51:33.994807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f20acbef-4f18-4bf9-95e6-66ca5b658d1c · inbound
On the Convergence of Muon and Beyond cites this paper.
On the Convergence of Muon and Beyond Muon is Scalable for LLM Training
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T15:56:34.068152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5dbd9f93-54bc-45a2-8270-a0b344d78fe4 · inbound
LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers cites this paper.
LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers Muon is Scalable for LLM Training
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T12:41:22.754671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 53da14d2-3c98-4737-a976-d6c49bdd4168 · inbound
Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization cites this paper.
Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization Muon is Scalable for LLM Training
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T09:46:12.531052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b202a901-a872-4140-81f3-f3b9e9cc3410 · inbound
Evolutionary Profiles for Protein Fitness Prediction cites this paper.
Evolutionary Profiles for Protein Fitness Prediction Muon is Scalable for LLM Training
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T09:01:09.675552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51d4eab7-67fa-46b7-8794-9dbc0d13dfbf · inbound
Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.
Kimi Linear: An Expressive, Efficient Attention Architecture Muon is Scalable for LLM Training
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T23:49:11.220159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bd615397-34e6-4f3d-b93b-624e56dccaee · inbound
Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates cites this paper.
Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates Muon is Scalable for LLM Training
Reference 39
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d63cf5f7-9c32-4fc6-8221-433fc555cfa4 · inbound
Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning cites this paper.
Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning Muon is Scalable for LLM Training
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:40:14.556303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77f8b84a-73f9-4ea2-bf6f-7b336a2505e0 · inbound
Turbo-Muon: Almost-Orthogonal Pre-Conditioning for Fast Muon Updates cites this paper.
Turbo-Muon: Almost-Orthogonal Pre-Conditioning for Fast Muon Updates Muon is Scalable for LLM Training
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:37:49.596778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3bfe19c-93fa-486a-bef9-452a91363307 · inbound
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization cites this paper.
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization Muon is Scalable for LLM Training
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T15:40:18.938406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3176bd42-ff3e-405f-ac86-649b7b23ba6e · inbound
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization cites this paper.
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization Muon is Scalable for LLM Training
Reference 2024
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d33cb1ce-5500-497c-80be-7f05f59d008a · inbound
KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices cites this paper.
KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Muon is Scalable for LLM Training
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:57:48.394471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dafce45-9263-48c8-9906-d5bac2f8e6ed · inbound
Kimi K2.5: Visual Agentic Intelligence cites this paper.
Kimi K2.5: Visual Agentic Intelligence Muon is Scalable for LLM Training
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation efd02246-9016-4e27-94dc-59067dfd3c17 · inbound
SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning cites this paper.
SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning Muon is Scalable for LLM Training
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:27:10.427125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc4694a4-06e3-4f69-9336-3ca7353ecb1b · inbound
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws cites this paper.
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws Muon is Scalable for LLM Training
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:14:16.087028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82d1aae8-36a2-4341-9f32-4e429bb9a959 · 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 Muon is Scalable for LLM Training
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:56:41.622106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de8bbbba-21aa-46eb-9ad5-cb83fd061767 · inbound
The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient cites this paper.
The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient Muon is Scalable for LLM Training
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:19:05.635066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef59ff3e-048b-4fa1-b43d-0c1cabffa28b · inbound
MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training cites this paper.
MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training Muon is Scalable for LLM Training
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:26:31.348741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c27bc63-3c62-43be-8c8e-ed9c3682717f · inbound
Spectral Condition for $\mu$P under Width-Depth Scaling cites this paper.
Spectral Condition for $\mu$P under Width-Depth Scaling Muon is Scalable for LLM Training
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T18:06:25.520938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d93a0da-45d1-4a23-be1a-c0325b060e90 · inbound
Attention Residuals cites this paper.
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T06:39:04.506714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 613478ff-c5db-4e36-84fc-b923408a9f61 · inbound
GLENN: Neural network-enhanced computation of Ginzburg-Landau energy minimizers cites this paper.
GLENN: Neural network-enhanced computation of Ginzburg-Landau energy minimizers Muon is Scalable for LLM Training
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T08:35:19.268190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c2d0b97b-bb88-456b-a333-5b8b7d0bf01c · inbound
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization cites this paper.
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization Muon is Scalable for LLM Training
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T07:49:50.756272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 515d4ac9-d67d-4f32-a8e1-883ce029ccd2 · inbound
Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory cites this paper.
Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory Muon is Scalable for LLM Training
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T23:38:16.547879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a6a9290-0319-47ea-8ab9-8e7ade9fba11 · inbound
MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration cites this paper.
MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration Muon is Scalable for LLM Training
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:12:58.572251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b1a5ce80-7005-4e1a-9c30-b216974c0f81 · inbound
Optimal Projection-Free Adaptive SGD for Matrix Optimization cites this paper.
Optimal Projection-Free Adaptive SGD for Matrix Optimization Muon is Scalable for LLM Training
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T20:58:15.738102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 40a15ea3-c03a-4718-9a26-b2a4e97e996c · inbound
Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning cites this paper.
Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Muon is Scalable for LLM Training
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T10:41:51.251736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13fd3e5e-6e3a-4c2d-8109-fc4bf2e882e1 · inbound
A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models cites this paper.
A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models Muon is Scalable for LLM Training
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4e2e3e8a-9e20-4273-a49b-7d7e5ac2f63b · inbound
Fast Spatial Memory with Elastic Test-Time Training cites this paper.
Fast Spatial Memory with Elastic Test-Time Training Muon is Scalable for LLM Training
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3c1893ac-f410-4a89-9ac8-1be1d80cfc0d · inbound
PRAGMA: Revolut Foundation Model cites this paper.
PRAGMA: Revolut Foundation Model Muon is Scalable for LLM Training
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 10dd01c6-e6fe-46d2-8ad5-ba3210215024 · inbound
Communication-Efficient Gluon in Federated Learning cites this paper.
Communication-Efficient Gluon in Federated Learning Muon is Scalable for LLM Training
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4486f7b9-e735-4ca7-acae-986cb115f93a · inbound
ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism cites this paper.
ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism Muon is Scalable for LLM Training
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b17e7849-5a25-49a3-82d1-0dd5458a9638 · inbound
Benchmarking Optimizers for MLPs in Tabular Deep Learning cites this paper.
Benchmarking Optimizers for MLPs in Tabular Deep Learning Muon is Scalable for LLM Training
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ebe768c2-dc29-43a0-ab34-d5be14132dbe · inbound
CityRAG: Stepping Into a City via Spatially-Grounded Video Generation cites this paper.
CityRAG: Stepping Into a City via Spatially-Grounded Video Generation Muon is Scalable for LLM Training
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6ccf5c5-5801-4fec-99cc-a2cdc32107ad · inbound
In-context modeling as a retrain-free paradigm for foundation models in computational science cites this paper.
In-context modeling as a retrain-free paradigm for foundation models in computational science Muon is Scalable for LLM Training
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f4b85007-3a3c-4b57-aba4-e5f7eef53e6e · inbound
SUDA-Muon: Structural Design Principles and Boundaries for Fully Decentralized Muon cites this paper.
SUDA-Muon: Structural Design Principles and Boundaries for Fully Decentralized Muon Muon is Scalable for LLM Training
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 52f23ffd-fd96-4273-ac76-49e58547b722 · inbound
SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs cites this paper.
SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs Muon is Scalable for LLM Training
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0339a5b-2a53-436f-8ba0-958d64dc4e3f · inbound
Model Merging: Foundations and Algorithms cites this paper.
Model Merging: Foundations and Algorithms Muon is Scalable for LLM Training
Reference 109
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72d92fad-fd70-4650-b4bc-2c7a29ee42b5 · inbound
DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs cites this paper.
DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs Muon is Scalable for LLM Training
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7345c383-cb32-498a-bdc1-381d3660127f · inbound
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer cites this paper.
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer Muon is Scalable for LLM Training
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T23:36:18.997820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a8c2ae73-8b1d-4dcc-8fc9-bdcec59f3105 · inbound
Budget-aware Auto Optimizer Configurator cites this paper.
Budget-aware Auto Optimizer Configurator Muon is Scalable for LLM Training
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c3cf7ab-8c86-423c-a0d9-653851ae2b25 · inbound
ZAYA1-8B Technical Report cites this paper.
Reference 199
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation adb25634-3da3-41c4-82f9-6ccb3d6c1d4b · inbound
Autoregressive One-Step Generative Modeling for Dynamical System Forecasting cites this paper.
Autoregressive One-Step Generative Modeling for Dynamical System Forecasting Muon is Scalable for LLM Training
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:48:38.107956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation def732c4-3ec1-4ca9-ba36-44d39dbae4b7 · inbound
Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio cites this paper.
Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio Muon is Scalable for LLM Training
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f1bafc29-79a4-4fea-83ef-1a532689648b · inbound
MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.
MDN: Parallelizing Stepwise Momentum for Delta Linear Attention Muon is Scalable for LLM Training
Reference 100
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2eeae874-359d-4a75-986c-9e046e734539 · inbound
The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks cites this paper.
The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks Muon is Scalable for LLM Training
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ac87229-543a-4618-82ed-a76d92920cdc · inbound
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less cites this paper.
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less Muon is Scalable for LLM Training
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fd89786f-fda9-40b4-830d-05dc7b5b46ed · inbound
Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition cites this paper.
Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition Muon is Scalable for LLM Training
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9a27d841-7790-445e-8685-b04aa426701e · inbound
Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.
Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Muon is Scalable for LLM Training
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6ad88bc1-6ada-4333-bd01-da2f5a247fd2 · inbound
Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.
Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Muon is Scalable for LLM Training
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T08:19:52.939073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1f996a58-1a1a-4d0b-90ff-130a5dc0fcec · inbound
OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling cites this paper.
OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling Muon is Scalable for LLM Training
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:02:52.981675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9feeee59-8ee3-4639-9e50-378fba61f74e · inbound
ZAYA1-VL-8B Technical Report cites this paper.
ZAYA1-VL-8B Technical Report Muon is Scalable for LLM Training
Reference 131
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:23.438502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 439cb60a-8571-43c0-b3a0-1804fe07baeb · inbound
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI cites this paper.
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI Muon is Scalable for LLM Training
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:25.238346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f01e845-5ad5-4b83-8a4d-e6fbf1b43089 · inbound
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI cites this paper.
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI Muon is Scalable for LLM Training
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T13:25:46.043477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4157f7d6-3182-4674-9842-4694dd87c5f1 · inbound
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI cites this paper.
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI Muon is Scalable for LLM Training
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T17:14:49.310598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 082b43f8-c05d-4c48-8c34-e220d98336f2 · 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 Muon is Scalable for LLM Training
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T07:42:06.515065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ed53cae7-0045-4aea-a096-2cf0aa219e72 · 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 Muon is Scalable for LLM Training
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T15:12:37.512690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 489a2f61-411b-402e-9ed1-1d257368a913 · inbound
Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration cites this paper.
Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration Muon is Scalable for LLM Training
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:33:09.431089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 588618a4-18ba-487b-b379-860d76eff338 · inbound
Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers cites this paper.
Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers Muon is Scalable for LLM Training
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:41:45.320350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd84be3b-6c64-4028-b4bf-6b52a458b634 · inbound
Dimension-Free Saddle-Point Escape in Muon cites this paper.
Dimension-Free Saddle-Point Escape in Muon Muon is Scalable for LLM Training
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:01:26.345270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 07adcf44-0419-4878-ae91-8d2211613b70 · inbound
Phases of Muon: When Muon Eclipses SignSGD cites this paper.
Phases of Muon: When Muon Eclipses SignSGD Muon is Scalable for LLM Training
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:41:29.316395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6cf5ea67-3b49-4e40-9ffd-6a597ae35eb4 · inbound
Can Muon Fine-tune Adam-Pretrained Models? cites this paper.
Can Muon Fine-tune Adam-Pretrained Models? Muon is Scalable for LLM Training
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T06:51:28.739353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c7a76cb0-7019-417f-8036-e07bb5e72db2 · inbound
Mela: Test-Time Memory Consolidation based on Transformation Hypothesis cites this paper.
Mela: Test-Time Memory Consolidation based on Transformation Hypothesis Muon is Scalable for LLM Training
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:46:33.348726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83500b89-85a4-4ee5-939f-70c314f66592 · inbound
Uniform Scaling Limits in AdamW-Trained Transformers cites this paper.
Uniform Scaling Limits in AdamW-Trained Transformers Muon is Scalable for LLM Training
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:27:01.950220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d81fa253-3fc1-43f7-bad7-fd6cadbb506d · inbound
MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization cites this paper.
MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization Muon is Scalable for LLM Training
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T02:12:07.087426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5f798e7d-9033-465e-a6c4-aad6ff2ee2a9 · inbound
MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization cites this paper.
MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization Muon is Scalable for LLM Training
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:24:48.118761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b127981-0878-415d-b3c2-ea2a82116c00 · inbound
Elastic Attention Cores for Scalable Vision Transformers cites this paper.
Elastic Attention Cores for Scalable Vision Transformers Muon is Scalable for LLM Training
Reference 165
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:07:22.858225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8709b56d-e829-4d26-9752-9b5e0612d388 · inbound
Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation cites this paper.
Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation Muon is Scalable for LLM Training
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T04:57:17.626506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 475a0326-70d3-4ead-bdf2-0facbf298f23 · inbound
Spectral Flattening Is All Muon Needs: How Orthogonalization Controls Learning Rate and Convergence cites this paper.
Spectral Flattening Is All Muon Needs: How Orthogonalization Controls Learning Rate and Convergence Muon is Scalable for LLM Training
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.130865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b2c0eb8-8870-4042-ae4a-d987ab929428 · inbound
$\phi$-Balancing for Mixture-of-Experts Training cites this paper.
$\phi$-Balancing for Mixture-of-Experts Training Muon is Scalable for LLM Training
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:22:40.144819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3496cfcc-8c8d-40a8-b583-6e4fe1791b34 · inbound
Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered cites this paper.
Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered Muon is Scalable for LLM Training
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T21:23:44.548558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e53c553a-4335-4195-8e83-eb13908704c2 · inbound
Towards Human-Level Book-Writing Capability cites this paper.
Towards Human-Level Book-Writing Capability Muon is Scalable for LLM Training
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T15:43:27.011512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 98b1ed54-b265-4213-b9a4-c1ab2b4cac64 · inbound
Towards Human-Level Book-Writing Capability cites this paper.
Towards Human-Level Book-Writing Capability Muon is Scalable for LLM Training
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T19:05:00.331587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f910442-65a7-4948-ba07-b30c69b04633 · inbound
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers cites this paper.
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Muon is Scalable for LLM Training
Reference 105
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T09:38:11.113200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae9030a1-d890-4c16-9497-c7003ec2333d · inbound
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers cites this paper.
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Muon is Scalable for LLM Training
Reference 107
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:45:00.342917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 40c85e73-8832-41fb-883f-bd2ddc3c322f · inbound
Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise cites this paper.
Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise Muon is Scalable for LLM Training
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T14:55:48.630939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0da511cb-f4d0-4551-8171-f95bd4a1c45d · inbound
Distance-Aware Muon: Adaptive Step Scaling for Normalized Optimization cites this paper.
Distance-Aware Muon: Adaptive Step Scaling for Normalized Optimization Muon is Scalable for LLM Training
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T12:28:17.207016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e7a935f2-eb42-431a-a562-2c26e1fa6b52 · inbound
Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR cites this paper.
Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR Muon is Scalable for LLM Training
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:18:07.210100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7e5e0ac7-5f69-452b-b20c-7eea6194db59 · inbound
MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models cites this paper.
MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models Muon is Scalable for LLM Training
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T08:13:08.317153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8568f2cf-0fef-488a-9257-39c79db255ef · inbound
LionMuon: Alternating Spectral and Sign Descent for Efficient Training cites this paper.
LionMuon: Alternating Spectral and Sign Descent for Efficient Training Muon is Scalable for LLM Training
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:28:06.808665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9230e505-d52a-4291-a4c4-cd2e6caf4c2d · inbound
LionMuon: Alternating Spectral and Sign Descent for Efficient Training cites this paper.
LionMuon: Alternating Spectral and Sign Descent for Efficient Training Muon is Scalable for LLM Training
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:35:00.448741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2d95b3b5-d4f1-44d4-b3f1-e1c51dc799c2 · inbound
Toto 2.0: Time Series Forecasting Enters the Scaling Era cites this paper.
Toto 2.0: Time Series Forecasting Enters the Scaling Era Muon is Scalable for LLM Training
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T06:43:05.682831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 66207ba8-a4e4-4d7a-984d-2f4aea0ddd59 · inbound
Toto 2.0: Time Series Forecasting Enters the Scaling Era cites this paper.
Toto 2.0: Time Series Forecasting Enters the Scaling Era Muon is Scalable for LLM Training
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T18:14:59.910573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4483ef33-44ec-4757-b69a-f26d42275e14 · inbound
TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes cites this paper.
TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes Muon is Scalable for LLM Training
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T10:01:23.422546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca2c268b-d528-4cc1-a53c-6b96195ed89b · inbound
Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws cites this paper.
Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws Muon is Scalable for LLM Training
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T08:51:18.227053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42973ad1-9341-4004-aa92-3496f450b54c · inbound
One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.
One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs Muon is Scalable for LLM Training
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:44:42.659994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 400b49a7-d530-4f35-8c50-7b2f34679cef · inbound
One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.
One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs Muon is Scalable for LLM Training
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T17:34:57.604761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b2bd861a-3e82-474f-a63a-6073cd79519e · inbound
Anytime Training with Schedule-Free Spectral Optimization cites this paper.
Anytime Training with Schedule-Free Spectral Optimization Muon is Scalable for LLM Training
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T05:40:24.249511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a6d0dd5a-0a70-42c3-b00a-5f59378a7a05 · inbound
Training-Free Looped Transformers cites this paper.
Training-Free Looped Transformers Muon is Scalable for LLM Training
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:36:36.720763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 454d169b-00e5-4c05-bb1d-dd07503770a9 · inbound
Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds cites this paper.
Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds Muon is Scalable for LLM Training
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T14:54:45.497577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7482c3e-6e45-4439-a5fa-357a90e8cd11 · inbound
Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training cites this paper.
Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training Muon is Scalable for LLM Training
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T23:14:01.500246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.