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Paper Citation Record · LEDGER

GrokAlign: Geometric Characterisation and Acceleration of Grokking

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.12284.

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

pith.paper-citation-record.v1
2506.12284 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:00:39.989192Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T21:13:24.267454Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:14:22.034596Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy36
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61c268fd-ddac-46a3-b142-2fc896a19431 · outbound

This paper cites Lecun, L.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Lecun, L

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:36.638337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:36.638337Z digest=sha256:02d4f59c50855e540b508f96bd5afe757ac044a6d4a7cba2bb4c5a391f3c5a67

Observation 0f82bf01-18f0-490a-b8d3-a8a39f584d6b · outbound

This paper cites SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries.

GrokAlign: Geometric Characterisation and Acceleration of Grokking SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:45.099731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:36.744463Z digest=sha256:dff80c5ca2d13d29e9c857d203115748528c151c32b2e5077260be33db1c16ce

Observation 6c1bfda6-7729-4ddd-894d-a9969490e372 · outbound

This paper cites Aazhang, and Richard Baraniuk.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Aazhang, and Richard Baraniuk

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:44.806886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:36.852789Z digest=sha256:ab932a62cf56f5aeedb2a5d11ffa78430c58cbc5b12a0fd65d9f8757c34f584a

Observation f77666c4-5a2b-4562-b1d0-2c159416a354 · outbound

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

GrokAlign: Geometric Characterisation and Acceleration of Grokking Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:36.935473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:36.935473Z digest=sha256:c936e83df87c31f1a17871f85a3eb8fa3c74fbb69056ec50e491fd2bb5e8fbba

Observation 1d4a8afa-e03b-4965-9aa4-da40e96d8206 · outbound

This paper cites Loss landscape geometry reveals stagewise development of transformers.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Loss landscape geometry reveals stagewise development of transformers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:44.552782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.082546Z digest=sha256:499136e2dbdbbb06df171e9ac41cb9c05e2aae1da85d14027c902ff9c28f1f3c

Observation 313b284b-d6df-4535-8eb1-4739908b4456 · outbound

This paper cites Michaud, and Max Tegmark.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Michaud, and Max Tegmark

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:44.395208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.140937Z digest=sha256:eead2673efaf0e265305ddcec4453f28454c5f4cce9230620c0d1c0972c6254a

Observation 91292880-dcab-4148-ad56-913abbc18e9b · outbound

This paper cites Deep Networks Always Grok and Here is Why.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Deep Networks Always Grok and Here is Why

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:44.143231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.215115Z digest=sha256:c5df96609259d2f18bf39a4867212f187f1a96f273f54cf1006992179273b047

Observation 94a9626e-1f0b-4b26-a0a0-62453201e453 · outbound

This paper cites Robustness may be at odds with accuracy.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Robustness may be at odds with accuracy

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:43.960791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.318347Z digest=sha256:8ab5b5ee66171a4bad0f82af16d42003674480205cde85909f6b4864bc7187ee

Observation eb5571d9-5c39-4cc4-bc45-758cd82ef463 · outbound

This paper cites Theoretically Principled Trade-off between Robustness and Accuracy.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Theoretically Principled Trade-off between Robustness and Accuracy

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:43.821867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.393110Z digest=sha256:b24a84cb83dfe7198432713fba43634d95e077f568889e49b07da20b63934492

Observation 0044ab35-2852-4e9b-9d6e-a9226f3f5644 · outbound

This paper cites Lee, and Wei Hu.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Lee, and Wei Hu

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:43.651868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.501161Z digest=sha256:c1974e8789f70e05986213be8f7f8eb0ea9c21aa253bb4f302127da9911cfc5b

Observation a1a5923a-dc69-4a0e-935b-526e5a255775 · outbound

This paper cites Grokking as a First Order Phase Transition in Two Layer Networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Grokking as a First Order Phase Transition in Two Layer Networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:43.512411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.538709Z digest=sha256:d1b2ccef4e4d22957366697359b62912bf2d9d01a29620f4f3cc97882f03d233

Observation d64ce499-b4dc-4d4b-8917-6d6d3f007565 · outbound

This paper cites Gershman, and Cengiz Pehlevan.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Gershman, and Cengiz Pehlevan

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:43.333008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.595273Z digest=sha256:3f794e5ed1826de1b92fe8bc649a813a987e6e6357c412a2c52e388ed69e5dfd

Observation 20b5bfb7-2e49-4ad5-ac00-e436b91f47ea · outbound

This paper cites Neural tangent kernel: convergence and generalization in neural networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Neural tangent kernel: convergence and generalization in neural networks

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:43.179572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.701378Z digest=sha256:4c2ecfa1b7149cabb70694b80c186c22ef7f48215e62b48eeff2cd0c2380a0e6

Observation 439c74a6-6ab0-465d-83e9-efd3c8f2385d · outbound

This paper cites Separation of scales and a thermodynamic description of feature learning in some CNNs.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Separation of scales and a thermodynamic description of feature learning in some CNNs

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:43.076588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.776108Z digest=sha256:19198e85ae3f797b005107f93b3d65e351c3b090ae9193c741d29bc69664bff7

Observation 6432fb5f-bac5-4adb-8563-28059039aa23 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Progress measures for grokking via mechanistic interpretability

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.993054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.853544Z digest=sha256:680696576aa203a97a5cf9e0714cd7b802226599a02124515b9938b335ce68a5

Observation d0df5cde-9239-44cc-98c1-c205df3ec890 · outbound

This paper cites Explaining grokking through circuit efficiency.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Explaining grokking through circuit efficiency

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:37.893406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:37.893406Z digest=sha256:0dadfe204859b0bd1f1d79ea29031d99b11958f2f19d274294b73f16366b3029

Observation 9b23fbed-7f1a-409f-bdb3-f3527825eb38 · outbound

This paper cites Contractive auto- encoders: explicit invariance during feature extraction.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Contractive auto- encoders: explicit invariance during feature extraction

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.926573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:37.962595Z digest=sha256:169ca11354f89f0785c0a903e8dae4ae2d3465e47fbfd42fde6e26f60c304f57

Observation 2cb6df73-5df0-4b57-9654-fe66e1ac03c5 · outbound

This paper cites Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.850646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.044726Z digest=sha256:aefa4e63192e257b71f28c5b5936473be20cb827fcedd628fa0348b3fb95be40

Observation cf405871-487c-41af-9b42-a358361baee8 · outbound

This paper cites Robust Learning with Jacobian Regularization.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Robust Learning with Jacobian Regularization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:38.112185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:38.112185Z digest=sha256:442c26617b272d00715d477bf9925006a283af614ea3d48ce1af644eb85cca44

Observation 961e3384-f150-4ac9-94e6-387f6075448d · outbound

This paper cites On the Connection Between Adversarial Robustness and Saliency Map Interpretability.

GrokAlign: Geometric Characterisation and Acceleration of Grokking On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.768520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.187918Z digest=sha256:de5e54452fb6fb58ba4080eb172916d8437444eb865918dbcd61f46b0e4dd583

Observation 6151c10e-ae9e-43a6-878f-7ee9547def91 · outbound

This paper cites Jacobian adversarially regularized networks for robustness.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Jacobian adversarially regularized networks for robustness

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.677292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.292747Z digest=sha256:790ea5bbc3eb466a39a8d10061ec670a7cb98cd38879e95cfa8db9761f306dea

Observation 2ec44cca-eb61-4937-a655-eb08ba35c973 · outbound

This paper cites Training invariances and the low-rank phenomenon: beyond linear networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Training invariances and the low-rank phenomenon: beyond linear networks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.596851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.340812Z digest=sha256:d7336cb6a5a99e6389f889e4a60fcc60334038dbd9b3494757b786eaef5bead0

Observation 5f231a57-4564-47cb-8e38-cd48db196bb7 · outbound

This paper cites The low-rank simplicity bias in deep networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking The low-rank simplicity bias in deep networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.503464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.434994Z digest=sha256:7cfd4c01811be828971e8959198f301f5fa414167ec34c1d802adb85089428e5

Observation 3bae733b-1915-4947-bf4d-faf8b39bd422 · outbound

This paper cites Implicit Regularization Towards Rank Minimization in ReLU Networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Implicit Regularization Towards Rank Minimization in ReLU Networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.406491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.513479Z digest=sha256:7794562583e6501216db550b3bf85de62139ead3d0a6c6979d40a3c0973207c3

Observation 84f0806f-2391-4880-bbbc-deaf3dd753d0 · outbound

This paper cites Rank minimization, alignment and weight decay in neural networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Rank minimization, alignment and weight decay in neural networks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.280354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.620505Z digest=sha256:939cddef01c6b1aefaa1cdf5205e28603cfe1da494d80c71127ef88b0e99439a

Observation 1467b0fd-60ec-4798-addf-b9c8f1d087f9 · outbound

This paper cites Siegel, Aparna Gupte, and Tomaso A.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Siegel, Aparna Gupte, and Tomaso A

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.207037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.658016Z digest=sha256:009657a84007aa9688d1e37fb939dd470abcf5936d95b68883553ecbeaadff03

Observation cf228774-692d-4cc4-95b2-7cd757d9118b · outbound

This paper cites Fast Jacobian-Vector Product for Deep Networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Fast Jacobian-Vector Product for Deep Networks

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T01:00:40.269490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.763686Z digest=sha256:3b702ab41ce1f12c147fa23ced4a159ebc1d50f1000cb4492d5d5b8250a8ef7c

Observation de0871b4-5b2e-4e0c-b945-13965019ebcd · outbound

This paper cites A Spline Theory of Deep Learning.

GrokAlign: Geometric Characterisation and Acceleration of Grokking A Spline Theory of Deep Learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:42.092963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.813785Z digest=sha256:2f3aaca1a092645348547018ac0c1bbecaaefa961da4bbdf6532cf9b2993e872

Observation 39b56b07-4ab8-4bd8-9564-8dcad5b53fc4 · outbound

This paper cites Decoupled weight decay regularization.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Decoupled weight decay regularization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:38.882637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:38.882637Z digest=sha256:b4a72b2e0a4e4a3c6cae19912d14ba821340a07caed50826de425232daf43adf

Observation 9a0be4cd-594e-470f-aacc-9377d18bc3e2 · outbound

This paper cites Gu and Luca Rigazio.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Gu and Luca Rigazio

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.991765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:38.963534Z digest=sha256:bfcf883fa59e88fa7c14a412b955c2b0fc8825da079e66f7bc401a6d13433381

Observation 5196ae04-d5f3-4181-a09e-247832e8436e · outbound

This paper cites A closer look at accuracy vs.

GrokAlign: Geometric Characterisation and Acceleration of Grokking A closer look at accuracy vs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.896428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.069675Z digest=sha256:5b6e36cd5c4cd08d4b564e626c65cc52f9213d70a05739c05fc4d9316c1eb96c

Observation 243c6626-68d3-4329-a7fe-6c6bf0bd8918 · outbound

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

GrokAlign: Geometric Characterisation and Acceleration of Grokking Grokfast: Accelerated Grokking by Amplifying Slow Gradients

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:39.136957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:39.136957Z digest=sha256:b430dcfba946d3ac3a7f58ec7f95938d61e443483076003ce5567997a52ed4a1

Observation ba6dcd7e-5881-4dbe-9b6f-00e4455bd547 · outbound

This paper cites On Lazy Training in Differentiable Programming.

GrokAlign: Geometric Characterisation and Acceleration of Grokking On Lazy Training in Differentiable Programming

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.789909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.215482Z digest=sha256:e85caef3f579fe973285dd3aa0abf259361833de339d0f08ffafcded0814cad8

Observation a966e09c-ffac-4786-85c5-6ba472d3651a · outbound

This paper cites Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, and Nathan Srebro.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, and Nathan Srebro

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.668125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.303943Z digest=sha256:264efd18b02bfcbd07035354db5246b5357efbbfea64b2a3b10e145200035e0e

Observation 4a1b7bf3-ea4d-4a9a-b129-75a7e5a14a24 · outbound

This paper cites Lee, Nathan Srebro, and Daniel Soudry.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Lee, Nathan Srebro, and Daniel Soudry

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.564125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.359011Z digest=sha256:14c0ce77f1165e9257a966cf1248ee6377c66faa039813b85d6d8e0166eb5ede

Observation 68d2ef77-6cb4-4ae1-9692-15533032f792 · outbound

This paper cites Let me grok for you: Accelerating grokking via embedding transfer from a weaker model.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Let me grok for you: Accelerating grokking via embedding transfer from a weaker model

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.395452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.461362Z digest=sha256:c83975d7f2ffbb4d2e5e2622d20489f7d21916565c3a4df688836bc1d613b53b

Observation 311ca792-b959-497d-9030-6ba42517b0a4 · outbound

This paper cites Learning multiple layers of features from tiny images.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Learning multiple layers of features from tiny images

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.253784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.529923Z digest=sha256:66001acaf9801aca116255008efb973885c633b75b7d73d872bd0e7715f526d1

Observation 39bc73e4-8267-4b19-8343-2344c2dd1b91 · outbound

This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:41.100233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.596447Z digest=sha256:f3c090e8849927e60b45a4c59d5220966b3832e8f3022226bdbf44cf37be2eb6

Observation 215bb04b-da33-4bf8-b375-93741a3f6be8 · outbound

This paper cites Understanding Grokking Through A Robustness Viewpoint.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Understanding Grokking Through A Robustness Viewpoint

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-07T01:00:40.143032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.665801Z digest=sha256:e0c7191e96a180d1fb9cb8d77682538dbd5b8e71e5e5423fa959b03c07736799

Observation 7569540f-b536-4e9f-afef-b4a6f9cf14ae · outbound

This paper cites Attention is All you Need.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Attention is All you Need

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:40.971487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.698286Z digest=sha256:9b8725a284323f225476a803321f7fc26263c8885c50e8c44238f412be348064

Observation d6d8a535-2826-47bd-bece-3c0d22b09606 · outbound

This paper cites Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:40.834039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.763502Z digest=sha256:7ffc482800c2483cb17a3c46382bfda3fe70c38a295bfcbf15c5d2ca4f317c72

Observation 1e3450e1-eca7-4ddd-9b53-d50d8548a0d3 · outbound

This paper cites Disentangling feature and lazy training in deep neural networks.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Disentangling feature and lazy training in deep neural networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:40.691885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.839604Z digest=sha256:9dccfa71ad767cf1d86ea855b82e3234169faed5ee53408d0fec5e15f0f09c41

Observation c7787172-5fc7-4859-a95e-db65f454e073 · outbound

This paper cites Under the assumptions, the output of the neural network at xp is Aωxp xp.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Under the assumptions, the output of the neural network at xp is Aωxp xp

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:40.575702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.902451Z digest=sha256:30093875193bcc1618ed387272932bde0ecb9970bf87a5d506aa479c0ef7e7ab

Observation 69e23375-60a2-4d81-a0e5-a0a5ab99de57 · outbound

This paper cites Under the assumptions, the output of the deep network at xp is Aωxp xp.

GrokAlign: Geometric Characterisation and Acceleration of Grokking Under the assumptions, the output of the deep network at xp is Aωxp xp

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:00:40.435375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T01:00:39.989192Z digest=sha256:50ff0632f5814657d685f31e3bf57ef1d70fea7f96f1b708d6a4dca7b47f937f

Pith citing papers

Observation 654b7e58-2fcf-4e26-bdbd-ae857e5dd4b0 · inbound

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking cites this paper.

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking GrokAlign: Geometric Characterisation and Acceleration of Grokking

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:14:22.037868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T21:13:24.267454Z digest=sha256:be8cb143d38af0a2ecc11546ed285b211aa81c765de63e86915b1226992df34c