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Paper Citation Record · LEDGER

Grokking Modular Polynomials

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:44a59d635e93a7c2caa6322fdcae6cbaae6d5c750b8e6175ea481467425eed04

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=sha256:8d707e1dd151ab2a3e2c6ce752ce9376e06e049de6cb224a0dab043ad3f6b31e

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=sha256:8f2762e93dce134c65592834bf51715c6488cb90a2e05823f09ad04f54df96ee

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=sha256:88f2cf4585f6b07769362ca4fee29b5e29d2dd59e427cd21eb64d8974c1b2bcb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T21:13:24.267454Z digest=sha256:7365e1722d0eaa05b2fce36321a5cc3453856f6517cee8fdb283712bb3edea6b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:54:00.748330Z digest=sha256:859f58ba7932f3cd56cab0eddc6a558979b816530095a067c42156efb924f737

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T01:29:14.555216Z digest=sha256:387fe052b061aa608eef96191bb07701a05deebf6651f2e71d137d2ff651ca6e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-25T06:39:16.246591Z digest=sha256:0b0335b2179f26dfdd4344dbe207c09feec6876a92d3b6642987eb6d3afad435

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T08:39:14.327838Z digest=sha256:faf5ed3b01e0416e7b0ce97da310bb91bb931874a3b9a0a7dba65fc03a9bfb7b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T02:26:16.631418Z digest=sha256:01747887d3f114a36b1e0d192149cbaea538b1d7637f298507a4b9ef753f0f23

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T02:10:10.610990Z digest=sha256:0897ab4a5cc4b992facf6e2e51189c5729ef30343b06b225dfca5202c39880d4

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=sha256:37ad4fccd290c82f11e724e635ff4306ce5f335df6cd26454d4b650dd2baf6b3

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:b9a96e3cbd8cbf5f13012e29376c327eb3379c63fdb55788563268d99665986b