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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 2026-08-09T06:31:02.800959+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=sha256:952d23fddb8f6944951691a275e071bb5f94dec0442e4f484f67a0730db0a05a

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:d8ad7416cc3304a8b218aa74c12f6e0bdc9bc3a4c604b1548b141c13b3787332

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=sha256:435d4ef837b296bd6a4b0dc08090dbf022c1f7deb4ac60e1c0f1c36d961637ea

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:d76eefd2dc89455a3adada380b6418f62cfb80f4b7dc7167fb4a17bb9d067e1d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T21:13:24.267454Z digest=sha256:443ab26e69ca9e288d6fdfcffa0537ed43dae38684c0b89ef0ccc035028d441c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:54:00.748330Z digest=sha256:7f398c50959e65474abf02f89538d4eb58ce60354b873c291140c5f1b8a325b9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T01:29:14.555216Z digest=sha256:4f96e8caaf1101838e398f72c193f75b5fc5c5ef8f8025b47398cecea78e71f4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-25T06:39:16.246591Z digest=sha256:c016bffdd6ef39ef1f3eeb918e996b5045c7e65d2c8e51bd9e10fcf09f3d4ecb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:39:14.327838Z digest=sha256:e2243ccc8516a754fe462c3c1b2640fbc1886bcc92bc8f24053fc371506b34ee

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T02:26:16.631418Z digest=sha256:da479b5815c92d932c121f7c76b163a4fcb53344705048f4625c433671b95a09

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T02:10:10.610990Z digest=sha256:d74efe28cccf0b6402804c01196f7c21a94fbc4a7497006aeb089d182172198f

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=sha256:5810396cfec36a5eee7f1e3dbfbf9a91c89875100cddde0562dcc6d7b3239eb8

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=sha256:9789c94d7f7c6eb632773183ae99f192aa63861688801e671d5a3ad7829368c1