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Paper Citation Record · LEDGER

Grokking Modular Polynomials

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.03495.

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

pith.paper-citation-record.v1
2406.03495 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:14.645620Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:49.918323Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bfb1fbbb-74cd-44c4-82c7-91221e920893 · inbound

(How) Can Transformers Predict Pseudo-Random Numbers? cites this paper.

(How) Can Transformers Predict Pseudo-Random Numbers? Grokking Modular Polynomials

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T18:32:14.645620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:32:14.645620Z digest=sha256:d00567d2140cb5ba17093814bbcebb9132ac9d56f70f2bc89d9a1439ca7132f5

Observation 6d143eb0-f0f2-4aec-a7f8-7cb0c7af2b31 · inbound

Mechanistic Insights into Grokking from the Embedding Layer cites this paper.

Mechanistic Insights into Grokking from the Embedding Layer Grokking Modular Polynomials

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:31.413642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:31.413642Z digest=sha256:c7a727e085f27f6a351f9ad58d35ab8e02cac8f79abe15ba00ab1288e11849c0

Observation 1a5f812d-08d5-4a78-83e0-206dd977c582 · inbound

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks cites this paper.

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks Grokking Modular Polynomials

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:56.187966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:56.187966Z digest=sha256:eee1b02e48e08f01df4788f0edc13e14d839a2bf81738ab3ce2b378669755039

Observation 9204c1b0-623d-4178-9221-ff3448285cf5 · inbound

Learning words in groups: fusion algebras, tensor ranks and grokking cites this paper.

Learning words in groups: fusion algebras, tensor ranks and grokking Grokking Modular Polynomials

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T22:57:12.084835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:57:12.084835Z digest=sha256:7e7c6f2d8b6d98659699996b88214d3dbc3c09f92a4cdec13d24f9e276a16b48

Observation d99fd05a-69c1-42ad-b69b-95fe8bce8ad4 · inbound

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

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking Grokking Modular Polynomials

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:14:22.032793Z

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=sha256:8273fb2b1ea0419838eecfa36ddc1fa75a151c813bf81098387d41e5458d7f97

Observation 1671c171-2ba0-4148-ae78-93f3e467af22 · inbound

Learning Large-Scale Modular Addition with an Auxiliary Modulus cites this paper.

Learning Large-Scale Modular Addition with an Auxiliary Modulus Grokking Modular Polynomials

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:10:59.322631Z

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=2026-05-11T01:54:00.748330Z digest=sha256:70377d9bca100b361f54b9c4f67acbd2441bfe17801164e1038c2f167d0dc121

Observation d5752ad1-0796-42f3-be5e-5359d7958015 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Grokking Modular Polynomials

Reference 199

Resolution
verified exact
arxiv_id, observed 2026-05-20T01:32:56.067252Z

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=arxiv_source observed=2026-05-20T01:29:14.555216Z digest=sha256:48d0e8eb28e151eb650225deb4507d6b86d66b3301e6c5def70e38bb2e6dc15e

Observation f7562153-87d6-477d-bbd6-8b1696dac9e2 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Grokking Modular Polynomials

Reference 199

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:24.708227Z

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=arxiv_source observed=2026-05-25T06:39:16.246591Z digest=sha256:1845a7575213ab4badbbe93cb327453a137905fa4be71bbd6c90cd7f77751c1d

Observation 34109042-3461-4e3e-b68e-fa2db88f7cdf · inbound

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention cites this paper.

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Grokking Modular Polynomials

Reference 103

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:43:15.243320Z

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=2026-06-29T08:39:14.327838Z digest=sha256:4428e9740b38474543071a8b43dfe9085139a624638084834195385897d56107

Observation 1b83f5e2-9032-4023-ada4-f80c7cd0aa01 · inbound

Deciphering Two Training Clocks in Grokking via Deep Linear Network Theory with Conditional ReLU Reduction cites this paper.

Deciphering Two Training Clocks in Grokking via Deep Linear Network Theory with Conditional ReLU Reduction Grokking Modular Polynomials

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:06:56.086673Z

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=arxiv_source observed=2026-06-28T02:26:16.631418Z digest=sha256:714f3b6624431e62b50c2ee17978844cb7694736d43cb13ee717fdfa49b3244d

Observation c8df9e15-8d35-4647-b3e5-ef2f6e7c77f5 · inbound

The Discrete-Log Clock: How a Transformer Learns Modular Multiplication cites this paper.

The Discrete-Log Clock: How a Transformer Learns Modular Multiplication Grokking Modular Polynomials

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:49.920050Z

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=arxiv_source observed=2026-06-27T02:10:10.610990Z digest=sha256:9356fd2248616cb82b4ac906047b00c4cb2609b14984848a9a89a68ab1c57941

Observation f14ece75-50a9-4476-bf4b-c901dd234078 · inbound

Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters cites this paper.

Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters Grokking Modular Polynomials

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T08:46:29.099447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:46:29.099447Z digest=sha256:39557cc7f8894150bf40fab0c9aa5bec723326c35ad69a82520fe999d2809905

Observation 97f906b3-6a31-4418-937f-376213a08d6e · inbound

Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations cites this paper.

Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations Grokking Modular Polynomials

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T03:55:34.633765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:55:34.633765Z digest=sha256:11ba791ee8dbd40a811fee9235a9e9a7c8827832c87f6590c6518fe63910cc0f