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Paper Citation Record · LEDGER

Grokking Beyond the Euclidean Norm of Model Parameters

As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.05718.

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

pith.paper-citation-record.v1
2506.05718 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:24.036574Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T00:44:38.335028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:58.709358Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3103a508-dbdb-4db0-a7bd-7c9c9aef1749 · outbound

This paper cites We also have ∥zy∥2 ≤ L since L = supy′∈B(x,r) supz∈∂h(y′) ∥z∥2.

Grokking Beyond the Euclidean Norm of Model Parameters We also have ∥zy∥2 ≤ L since L = supy′∈B(x,r) supz∈∂h(y′) ∥z∥2

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0e0bc94f-9178-4551-a50a-9b9e11bde47d · outbound

This paper cites Then, for any η >0, mint1≤t≤t2 f (x(t)) − f ∗ ≤ (η+Cαβ )β 2 if and only if t2 ≥ t1 + R2 αβη.

Grokking Beyond the Euclidean Norm of Model Parameters Then, for any η >0, mint1≤t≤t2 f (x(t)) − f ∗ ≤ (η+Cαβ )β 2 if and only if t2 ≥ t1 + R2 αβη

Reference 2

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Observation 153ad6b5-7b97-4327-bf5c-171ccc403644 · outbound

This paper cites an unresolved cited work.

Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-07T10:21:23.014173Z digest=sha256:934ec127392b020ea7ef1312ad828a81345ee981c61fc48e281392fee15314c9

Observation e4fe17ae-bf06-4851-b425-f55a2ea9bc7f · outbound

This paper cites Unveiling the Dynamics of Information Interplay in Supervised Learning.

Grokking Beyond the Euclidean Norm of Model Parameters Unveiling the Dynamics of Information Interplay in Supervised Learning

Reference 6

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local_arxiv, observed 2026-08-07T10:21:24.310078Z

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source=pdf_text observed=2026-08-07T10:21:21.887171Z digest=sha256:9cdff7fa50c67b08b87579fb6be9597817447a27ee8d9df1526520b17d608995

Observation 9b00abb7-2d86-408e-9aa1-55ec7455b83d · outbound

This paper cites Explaining grokking through circuit efficiency.

Grokking Beyond the Euclidean Norm of Model Parameters Explaining grokking through circuit efficiency

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:21.958566Z digest=sha256:49a82a96561576a249d168534d6b45ac75f1f745cb33fbdb6f1656127fc28b0a

Observation bf5bf52f-3cc3-4bca-b796-dbe505fab23b · outbound

This paper cites Then for all 0 ≤ j ≤ k − 1, |Rj| ≤ ϵα∥∇g(x(j))∥2 2 if α ≤ 2(ϵ − γ)/L2p (ϵ + γ)α∥∇g(x(j))∥2 2 if α ≤ 2ϵ/L2p (37) Proof.

Grokking Beyond the Euclidean Norm of Model Parameters Then for all 0 ≤ j ≤ k − 1, |Rj| ≤ ϵα∥∇g(x(j))∥2 2 if α ≤ 2(ϵ − γ)/L2p (ϵ + γ)α∥∇g(x(j))∥2 2 if α ≤ 2ϵ/L2p (37) Proof

Reference 11

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source=pdf_text observed=2026-08-07T10:21:22.266220Z digest=sha256:b9398645aec748c26c55203cffba59ca542aa45d07af7f579206873e6090c9c2

Observation 0a368504-1029-4fda-a8d8-4d47a5dfc45c · outbound

This paper cites So ∥∇f (y)∥2 2 f (y) ≥ β ∥zy∥2 2 h(y) ≥ βχ(h, x, r′).

Grokking Beyond the Euclidean Norm of Model Parameters So ∥∇f (y)∥2 2 f (y) ≥ β ∥zy∥2 2 h(y) ≥ βχ(h, x, r′)

Reference 13

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source=pdf_text observed=2026-08-07T10:21:22.440325Z digest=sha256:9125f335825b388ef5df3f1817b5234c3ae06bacbd3cd04d1e737630ee81269c

Observation 498ac956-50b8-46a1-b6e8-72c91c9f1d19 · outbound

This paper cites Theorem C.29.

Grokking Beyond the Euclidean Norm of Model Parameters Theorem C.29

Reference 14

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source=pdf_text observed=2026-08-07T10:21:22.534869Z digest=sha256:fa3ad2f278788cd37afc12c1c43182c16ee9cea39d63c2ffee46bed6e02ae100

Observation 4e036362-f0e9-4a41-80b3-f611e7f9b69c · outbound

This paper cites g(ˆa) − 1 2 ∥ξ∥2 2 = − 1 2 ξ⊤UU⊤ξ = − 1 2 ∥U⊤ξ∥2.

Grokking Beyond the Euclidean Norm of Model Parameters g(ˆa) − 1 2 ∥ξ∥2 2 = − 1 2 ξ⊤UU⊤ξ = − 1 2 ∥U⊤ξ∥2

Reference 15

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Observation 7da838f3-7b67-4e47-b9a4-2819edacee8c · outbound

This paper cites In particular, if a∗ has a nonzero component orthogonal to the column space Col(V) of V, then ˆa cannot perfectly generalize.

Grokking Beyond the Euclidean Norm of Model Parameters In particular, if a∗ has a nonzero component orthogonal to the column space Col(V) of V, then ˆa cannot perfectly generalize

Reference 16

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Observation 3dc9044d-d0cc-4532-aa37-701739a29a8b · outbound

This paper cites an unresolved cited work.

Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-07T10:21:22.732884Z digest=sha256:08f397eca5ad80d7a5990859058b0990708a4dc8fe4895aeba44c3f6b5efe9ff

Observation 925820de-3188-40ba-b3ad-36cc942b6d9f · outbound

This paper cites 37 Grokking Beyond the Euclidean Norm of Model Parameters.

Grokking Beyond the Euclidean Norm of Model Parameters 37 Grokking Beyond the Euclidean Norm of Model Parameters

Reference 18

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Observation 02d55c49-813e-49fd-8fd0-c682cf0d94b2 · outbound

This paper cites an unresolved cited work.

Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 19

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Observation 31fd6f2e-7b20-4f97-be7f-6bc57b602da1 · outbound

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Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 21

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Observation 411c64f6-dd1a-425f-b558-30c86ab76f5d · outbound

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Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 22

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Observation f86d3e39-1a9a-4684-811c-db0abfffc172 · outbound

This paper cites an unresolved cited work.

Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 23

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Observation 6d1087d9-4fd0-4541-ac06-30757f4d1337 · outbound

This paper cites Suppose we start at some A(1).

Grokking Beyond the Euclidean Norm of Model Parameters Suppose we start at some A(1)

Reference 24

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Observation 90f94905-5f46-48d7-a297-332ff8156b29 · outbound

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Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 25

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Observation 175b2601-89b9-49b3-9d87-60f6379bc876 · outbound

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Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 26

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Observation 357a8c2d-12d7-4327-beab-aa81b8f57fc5 · outbound

This paper cites , σ(1) r1 the singular values of A(1).

Grokking Beyond the Euclidean Norm of Model Parameters , σ(1) r1 the singular values of A(1)

Reference 27

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Observation 5a5e7180-d237-497b-917f-7f27c3bf3e0a · outbound

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Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 28

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Observation 81956f5d-0ac3-477e-8f67-4bd5099b8980 · outbound

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Grokking Beyond the Euclidean Norm of Model Parameters Unresolved cited work

Reference 29

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Observation 5e98e864-dade-4351-88bd-609a26eadeb5 · outbound

This paper cites grokking without understanding.

Grokking Beyond the Euclidean Norm of Model Parameters grokking without understanding

Reference 30

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Observation 9631bca6-19d9-4bab-a3ad-e5d1b25dabb2 · outbound

This paper cites grokking without understanding.

Grokking Beyond the Euclidean Norm of Model Parameters grokking without understanding

Reference 31

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Observation 2beae235-c702-4dc8-891b-30037aa78462 · outbound

This paper cites Implicit Regularization in Deep Learning May Not Be Explainable by Norms.

Grokking Beyond the Euclidean Norm of Model Parameters Implicit Regularization in Deep Learning May Not Be Explainable by Norms

Reference 45

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source=pdf_text observed=2026-08-07T10:21:21.818876Z digest=sha256:e3c26c23c366df77c8f18dfd7134a102aa0254f9f8f2f3c47b36ebc39a5e77c5

Observation d8d8cb86-4c54-4f7b-bf81-9f00d07ac523 · outbound

This paper cites Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok.

Grokking Beyond the Euclidean Norm of Model Parameters Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 1995

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source=pdf_text observed=2026-08-07T10:21:21.670705Z digest=sha256:7d8a3719a30d95529887b4e4171ed540a09674ce9bd1b15f50da511db4e91563

Observation c9a086b1-a6a4-4aeb-ae0a-47690f3046d7 · outbound

This paper cites Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation.

Grokking Beyond the Euclidean Norm of Model Parameters Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation

Reference 1996

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local_arxiv, observed 2026-08-07T10:21:24.523815Z

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Observation 8841bc3c-fde8-48e9-be26-f53b641ce56c · outbound

This paper cites memorization.

Grokking Beyond the Euclidean Norm of Model Parameters memorization

Reference 2022

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Observation 7d709419-1fd9-4519-8a5a-743d13f3c1c7 · outbound

This paper cites incoherent.

Grokking Beyond the Euclidean Norm of Model Parameters incoherent

Reference 2025

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source=pdf_text observed=2026-08-07T10:21:22.105676Z digest=sha256:89951193227f5fa0efa608f7ecde704ba683e5c904dc6209d8d3c86f8f100ac4

Observation 2d3f2e16-1cf3-4a30-93ff-d7499f7080c1 · outbound

This paper cites Progress Measures for Grokking on Real-world Tasks.

Grokking Beyond the Euclidean Norm of Model Parameters Progress Measures for Grokking on Real-world Tasks

Reference 5468

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:21.569536Z digest=sha256:a1a221b16736c236df8ea8e408598d6ddbe8737a56858ebd41f448146d87a9a9

Observation 68e6b1b3-ef9c-47e0-8735-5024d86f1f3c · outbound

This paper cites Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking.

Grokking Beyond the Euclidean Norm of Model Parameters Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking

Reference 7200

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source=pdf_text observed=2026-08-07T10:21:21.605878Z digest=sha256:29340e34e9583096681b6eb50ac520bd90abc83dfa3c6467561974536eb22fa1

Pith citing papers

Observation deb56c7f-9d17-4841-b950-c1bfaba0e966 · inbound

What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy cites this paper.

What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy Grokking Beyond the Euclidean Norm of Model Parameters

Reference 11

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arxiv_id, observed 2026-07-03T21:18:58.711256Z

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