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Paper Citation Record · LEDGER

How to Tame Grokking: Representation Geometry as a Control Signal

As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.11666.

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

pith.paper-citation-record.v1
2607.11666 v1

Coverage vector

measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T04:01:12.361370Z

measured 28 of 28 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

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Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation ddb02950-f48d-41d5-9809-e90c35bfe63c · outbound

This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 1

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Observation 6b2868b0-d89e-4d27-bd56-d76df691de29 · outbound

This paper cites H.; and Zoccolan, D.

How to Tame Grokking: Representation Geometry as a Control Signal H.; and Zoccolan, D

Reference 2

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Observation 889ec1b4-817e-477c-9a1f-410b7503630a · outbound

This paper cites InAdvances in Neural Infor- mation Processing Systems, volume 32, 6114–6125.

How to Tame Grokking: Representation Geometry as a Control Signal InAdvances in Neural Infor- mation Processing Systems, volume 32, 6114–6125

Reference 3

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Observation 4f9cef7e-15cd-4982-8a19-f95ae48c9910 · outbound

This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 4

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Observation 067b4fe4-df9e-4f21-bb35-4d816c012455 · outbound

This paper cites TheApproximationof OneMatrixbyAnotherofLowerRank.Psychometrika, 1(3): 211–218.

How to Tame Grokking: Representation Geometry as a Control Signal TheApproximationof OneMatrixbyAnotherofLowerRank.Psychometrika, 1(3): 211–218

Reference 5

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Observation 24893692-be98-4410-b6d7-b3e4cccf24e4 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

How to Tame Grokking: Representation Geometry as a Control Signal Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 6

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This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 7

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Observation a5c9987e-a28e-4c19-a5f8-363370fd5619 · outbound

This paper cites Un- derstanding Dimensional Collapse in Contrastive Self- Supervised Learning.

How to Tame Grokking: Representation Geometry as a Control Signal Un- derstanding Dimensional Collapse in Contrastive Self- Supervised Learning

Reference 8

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Observation b2fc7bec-d523-46d5-87ba-5bea60c10921 · outbound

This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 9

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Observation a8181164-b382-4dea-8f81-69776b7ceef2 · outbound

This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 10

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Observation 3186ee5c-b4bc-4a34-9cb2-09ef70bebe17 · outbound

This paper cites InProceedings of the 36th International Conference on Machine Learning, 3519–3529.

How to Tame Grokking: Representation Geometry as a Control Signal InProceedings of the 36th International Conference on Machine Learning, 3519–3529

Reference 11

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Observation 62f82a29-a10f-4a1e-965f-79ea3ef81ab2 · outbound

This paper cites Neural Collapse: A Review on Modelling Principles and Generalization.

How to Tame Grokking: Representation Geometry as a Control Signal Neural Collapse: A Review on Modelling Principles and Generalization

Reference 12

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Observation 1a17f502-cab4-47dd-aa54-4f771ecc2f3a · outbound

This paper cites Grokfast: Accelerated Grokking by Amplifying Slow Gradients.

How to Tame Grokking: Representation Geometry as a Control Signal Grokfast: Accelerated Grokking by Amplifying Slow Gradients

Reference 13

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Observation 95e435f4-fc5e-472b-ad9c-3c56e2a4294a · outbound

This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 14

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Observation f42e2ffe-f8d3-4e8f-8934-a0a142882eca · outbound

This paper cites Towards Understanding Grokking: An Effective Theory of Representation Learning.

How to Tame Grokking: Representation Geometry as a Control Signal Towards Understanding Grokking: An Effective Theory of Representation Learning

Reference 15

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Observation b4069c45-7e03-4d6d-b7a8-7a7db153e98d · outbound

This paper cites Omnigrok: Grokking Beyond Algorithmic Data.

How to Tame Grokking: Representation Geometry as a Control Signal Omnigrok: Grokking Beyond Algorithmic Data

Reference 16

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Observation 83223c6d-d6bf-4301-a1ff-7bdd92464414 · outbound

This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 17

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Observation 815aed5b-6373-4ce9-aa44-9f773fa6ff19 · outbound

This paper cites Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks.

How to Tame Grokking: Representation Geometry as a Control Signal Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks

Reference 18

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Observation e0359437-b000-4633-8ee6-2ed4548d9861 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

How to Tame Grokking: Representation Geometry as a Control Signal Progress measures for grokking via mechanistic interpretability

Reference 19

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Observation f1733354-44b9-4d20-95b6-fa18399f12cf · outbound

This paper cites an unresolved cited work.

How to Tame Grokking: Representation Geometry as a Control Signal Unresolved cited work

Reference 20

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Observation 25403845-925a-4d06-b790-ac9d081d0c4d · outbound

This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.

How to Tame Grokking: Representation Geometry as a Control Signal Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 21

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Observation 804f4bd3-09ef-4e97-8396-34a2e1a587a2 · outbound

This paper cites DoVisionTransformersSee Like Convolutional Neural Networks? InAdvances in Neural Information Processing Systems, volume 34, 12116–12128.

How to Tame Grokking: Representation Geometry as a Control Signal DoVisionTransformersSee Like Convolutional Neural Networks? InAdvances in Neural Information Processing Systems, volume 34, 12116–12128

Reference 22

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Observation 4a91d622-0a59-4cd3-b96d-52925bb96075 · outbound

This paper cites Dimensionality compression and expansion in Deep Neural Networks.

How to Tame Grokking: Representation Geometry as a Control Signal Dimensionality compression and expansion in Deep Neural Networks

Reference 23

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Observation 18208c0b-0ea1-49cf-8ad1-576ee6a18353 · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

How to Tame Grokking: Representation Geometry as a Control Signal Opening the Black Box of Deep Neural Networks via Information

Reference 24

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Observation 682e2fb6-0772-4442-90eb-149a66357073 · outbound

This paper cites DeepLearningand the Information Bottleneck Principle.

How to Tame Grokking: Representation Geometry as a Control Signal DeepLearningand the Information Bottleneck Principle

Reference 25

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Observation 2e4bb9ae-9e53-40f9-b83d-18708c3b728c · outbound

This paper cites Explaining grokking through circuit efficiency.

How to Tame Grokking: Representation Geometry as a Control Signal Explaining grokking through circuit efficiency

Reference 26

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Observation 0b8bff28-6dd7-4c85-9352-09e49fa83d70 · outbound

This paper cites N.; Kaiser, Ł.; and Polosukhin, I.

How to Tame Grokking: Representation Geometry as a Control Signal N.; Kaiser, Ł.; and Polosukhin, I

Reference 27

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Observation c6f7e72b-74c0-4d14-8dc1-0b2ba8d0cdcb · outbound

This paper cites Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model.

How to Tame Grokking: Representation Geometry as a Control Signal Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model

Reference 28

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Pith citing papers

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