Paper Citation Record · LEDGER

Taming LLMs by Scaling Learning Rates with Gradient Grouping

As of 8 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 2 inbound Pith citation observations for arXiv:2506.01049.

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

pith.paper-citation-record.v1
2506.01049 v1

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:57:29.278658Z

measured 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T22:10:49.683444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:41:06.415113Z

Reference resolution

92 of 92 outbound references displayed

verified exact1
verified fuzzy4
unresolved87
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0963deb6-c74b-4b8c-80b6-ca00a44c6488 · outbound

This paper cites online" 'onlinestring :=.

Taming LLMs by Scaling Learning Rates with Gradient Grouping online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.960786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 551f9183-6011-4774-a690-29566546a9c1 · outbound

This paper cites write newline.

Taming LLMs by Scaling Learning Rates with Gradient Grouping write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.965573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f78582-7e3d-46ff-ad52-36f938fb7e84 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.969116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0746c1e7-aa97-4e50-b269-2fbc6807cd5e · outbound

This paper cites LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.972955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31865e9-46bc-4f4e-83af-6ca0a2eb761f · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.976631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8d07a4-c54e-4f38-97eb-367bb43c0c7f · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.980071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fac5ca-1489-47af-8830-ce9d1cc63cc6 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.983339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd9c9c6-d16c-4306-a6d0-9b5881e8ea8c · outbound

This paper cites LLaVA-KD: A Framework of Distilling Multimodal Large Language Models.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LLaVA-KD: A Framework of Distilling Multimodal Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.986563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b3a661-29ae-442f-9be4-8049a765a487 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.991360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7b1bb8-15bc-46ae-9929-e2f44bc0ca30 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.995330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd80351-bc8c-47b5-abf1-f6c9500b5ca5 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.998658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e68aeed3-1427-4dc0-bee3-9e33ee9beed7 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.002055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 692be308-d7b0-470f-9cb0-d27506ec7c40 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Taming LLMs by Scaling Learning Rates with Gradient Grouping BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.005938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73f06e3-5284-43c7-a3a7-e651d2fa2cef · outbound

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

Taming LLMs by Scaling Learning Rates with Gradient Grouping Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.010001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4038c6b4-e5b0-41c2-acfa-ba023fc04a99 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Taming LLMs by Scaling Learning Rates with Gradient Grouping InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.013438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc5028c-58e4-4e6e-b142-8b2c4c3e1e08 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.016941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d09eed9-f3f1-4f1b-b336-868922556f8a · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.020514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b3ff932-08e5-4c17-91a2-f03696222cde · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.024107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82a835d2-ab35-4e35-8390-b26a6bc7eb62 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.027322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971fbb92-8263-4497-9930-f1671856488c · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.364643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c48c3115-6596-43e0-b15e-8798df9e7736 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.352712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd64ccbf-f79b-4857-82be-e64792012b92 · outbound

This paper cites LoRA+: Efficient Low Rank Adaptation of Large Models.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LoRA+: Efficient Low Rank Adaptation of Large Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.037629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7292eecc-2457-4f45-a096-18a097d6434f · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.339368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 165ad793-8fe0-459a-8b08-99fa783084ed · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.328100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d79f9994-2fba-40fe-89ff-79a511e26d96 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.047501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05cda9ed-9b95-4933-ad63-6ddbaff80b92 · outbound

This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.051249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd4f4fe-d38b-496a-ae49-bc58b853c8da · outbound

This paper cites SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training.

Taming LLMs by Scaling Learning Rates with Gradient Grouping SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.054680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 331539f7-7b6a-463e-93b9-846c81e04baf · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.058208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbab1350-ed83-40e4-9c6d-b1b7bb62ffb6 · outbound

This paper cites Exploring Low Rank Training of Deep Neural Networks.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Exploring Low Rank Training of Deep Neural Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.061428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f00894e-3412-4e42-903f-4742cd1e9907 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.307740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c83b9a68-badd-459f-8bb2-6f2024d8bbd8 · outbound

This paper cites Kingma and Jimmy Ba.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Kingma and Jimmy Ba

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:30.296503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae32cc3f-32fa-495d-8410-ca4a74769a87 · outbound

This paper cites o pf, Yannic Kilcher, Dimitri Von R \.

Taming LLMs by Scaling Learning Rates with Gradient Grouping o pf, Yannic Kilcher, Dimitri Von R \

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:30.285335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05593c1e-0953-4188-becd-72abe6222c2d · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Taming LLMs by Scaling Learning Rates with Gradient Grouping SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.074356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109676e1-f73c-4df9-a5d3-778c96f7cd5f · outbound

This paper cites LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.078239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c826ac-215f-4559-8d2c-002b3bdd6f5a · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c01ecb-d986-44d9-846c-1c85806a28e3 · outbound

This paper cites Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling

Reference 36

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Unavailable: canonical work link unavailable.

Observation 88980bb8-475c-4efc-8aa0-b0dffb53b9f5 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.088289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 364bbec4-e582-4037-b2b8-ce6cc5bc78cc · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.264637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cdfcf04-d675-4a18-854c-468ef8462bf5 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.252122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc732852-44aa-4a48-9b37-8a32aae9c42d · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f23a6cc7-1999-48cb-a9f3-eea0fd23118a · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.228139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58996f95-d9c1-4333-a044-f7b8b12fb5d0 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d965385b-4881-4497-a283-25194e44450c · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 43

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Observation f77f1f80-dc91-4ecc-b75a-d070ee67d29a · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 44

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Observation f249484d-dc3b-4482-b5f3-a6ae44cf3c29 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 45

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Unavailable: canonical work link unavailable.

Observation 01d72d3a-a244-4dcc-9acc-ac26c3dc937d · outbound

This paper cites Muon is Scalable for LLM Training.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Muon is Scalable for LLM Training

Reference 46

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Source-reported events for the cited work

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Observation c88cdf3a-b3a5-47fd-9c7a-756791a6b415 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd877286-b983-49ef-a3a1-6eeba05ac596 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60d1ffe9-8272-4615-84eb-d64e913ea568 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Taming LLMs by Scaling Learning Rates with Gradient Grouping DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 49

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Source-reported events for the cited work

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Observation cc653f9c-4569-4eb6-86cf-d8074085a207 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 50

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Observation e9786330-16e2-47b7-8b01-43fb2e0337be · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 51

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Source-reported events for the cited work

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Observation 476339c5-5912-4f3c-bb0e-e5fb722a7511 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 52

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Observation b931a06c-dd32-4450-988e-2683564428c6 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 53

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Observation 16288887-825e-4553-aa28-8fd0e6c42175 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 54

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Source-reported events for the cited work

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Observation d1cd5d36-7d70-46d1-9dfc-ce586ea37d32 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.107042Z

Source-reported events for the cited work

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Observation dfa9f3e3-acae-45c6-8047-415b0567a2ef · outbound

This paper cites CAME: Confidence-guided Adaptive Memory Efficient Optimization.

Taming LLMs by Scaling Learning Rates with Gradient Grouping CAME: Confidence-guided Adaptive Memory Efficient Optimization

Reference 56

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Observation 28962728-0aa8-47cb-bd0e-ce6920dfe53a · outbound

This paper cites Visual Perception by Large Language Model's Weights.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Visual Perception by Large Language Model's Weights

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.156262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897b4096-df09-470e-8495-9f998b50dd0e · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:30.095539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a9a2b64-3069-4a7c-ae52-e76ccfec22df · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 59

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This paper cites A Theory on Adam Instability in Large-Scale Machine Learning.

Taming LLMs by Scaling Learning Rates with Gradient Grouping A Theory on Adam Instability in Large-Scale Machine Learning

Reference 60

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Observation 21b291a7-59a5-4f8b-8bc7-13a0211d6ec5 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition

Reference 61

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Observation 7c681ca2-5a6a-42e7-b647-7079d06871f0 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 62

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Observation b89d3d72-25b6-4554-8823-3b457dc481da · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 63

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Observation 63d0ecf8-4439-4f80-b8f9-a4d88e9b00a6 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Reddi, Satyen Kale, and Surinder Kumar

Reference 64

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Observation 89ed90fc-8074-4108-bc77-7327446f2e31 · outbound

This paper cites an unresolved cited work.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 65

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This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Taming LLMs by Scaling Learning Rates with Gradient Grouping SocialIQA: Commonsense Reasoning about Social Interactions

Reference 66

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 67

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This paper cites Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Reference 68

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Taming LLMs by Scaling Learning Rates with Gradient Grouping LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 69

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 70

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Sinha and Michael P

Reference 71

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Observation 05858b3f-1b4d-414c-91b4-fcfbaf86820a · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 72

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 73

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Taming LLMs by Scaling Learning Rates with Gradient Grouping SOAP: Improving and Stabilizing Shampoo using Adam

Reference 74

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Taming LLMs by Scaling Learning Rates with Gradient Grouping GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 75

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 76

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Observation 58806685-fab1-4a62-8eef-0b1953f973ce · outbound

This paper cites Qwen2.5-Omni Technical Report.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Qwen2.5-Omni Technical Report

Reference 77

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Observation 27195656-a9b3-4348-bf49-d5c7179c9221 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 78

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Observation 40064f04-3bae-490b-bee2-4066438baa9a · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping A Survey on Multimodal Large Language Models

Reference 79

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 80

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Observation 488b4aeb-24ea-4312-9f2b-73aa3153362d · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 81

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Observation 29cfd7c2-10a0-46a8-859c-59632a011363 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 82

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Observation ca378888-4d58-4a7c-b368-cd91497d0e09 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 83

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Parameter-Efficient Fine-Tuning for Foundation Models

Reference 84

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Observation 210d5578-f9c6-4cd4-8a05-e7b376f11d57 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:29.932025Z

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Observation 08551d6d-0321-4715-9421-bc9c26773f70 · outbound

This paper cites Adam-mini: Use Fewer Learning Rates To Gain More.

Taming LLMs by Scaling Learning Rates with Gradient Grouping Adam-mini: Use Fewer Learning Rates To Gain More

Reference 86

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Taming LLMs by Scaling Learning Rates with Gradient Grouping GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Reference 87

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Deconstructing What Makes a Good Optimizer for Language Models

Reference 88

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Observation fcc700fc-9253-4936-a883-bf2c1addffe4 · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Reference 89

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Observation 4ec620a7-60ca-46d6-8a67-437c76a0961b · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping APOLLO: SGD-like Memory, AdamW-level Performance

Reference 90

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Observation b4fcc1d0-1de3-4fe9-9690-5d3932797f3c · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Transformers without Normalization

Reference 91

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Observation 52272ecf-36fd-481c-87d1-ff47692244fe · outbound

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Taming LLMs by Scaling Learning Rates with Gradient Grouping Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:29.920689Z

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Pith citing papers

Observation 39b37602-eb7a-4980-b4a0-f8e3a6ae7eb7 · 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 Taming LLMs by Scaling Learning Rates with Gradient Grouping

Reference 18

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Observation b1e36740-728e-47b1-8590-2f2aeec73c55 · inbound

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OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers Taming LLMs by Scaling Learning Rates with Gradient Grouping

Reference 59

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