Paper Citation Record · LEDGER

Deep Grokking: Would Deep Neural Networks Generalize Better?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.19454.

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

pith.paper-citation-record.v1
2405.19454 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:30.334912Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:51:04.968766Z

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 e6d5572b-3e43-43b0-a606-e3c730636bb5 · inbound

On the Local Complexity of Linear Regions in Deep ReLU Networks cites this paper.

On the Local Complexity of Linear Regions in Deep ReLU Networks Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:04.414099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8c77e5-fe0f-4266-8e02-25ba5d3f3d22 · inbound

Grokking vs. Learning: Same Features, Different Encodings cites this paper.

Grokking vs. Learning: Same Features, Different Encodings Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.023924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e5c19ef-2f63-4f62-9fe3-0a609da03048 · inbound

NeuralGrok: Accelerate Grokking by Neural Gradient Transformation cites this paper.

NeuralGrok: Accelerate Grokking by Neural Gradient Transformation Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:50:30.334912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56670751-48f9-4bc0-90c8-2dd89773d875 · inbound

Reinforcement Learning for Reasoning in Large Language Models with One Training Example cites this paper.

Reinforcement Learning for Reasoning in Large Language Models with One Training Example Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:51:04.972881Z

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.

Observation 9945eda6-9954-4e43-90e3-a9ff8dec296c · inbound

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

Mechanistic Insights into Grokking from the Embedding Layer Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:31.512408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9faaf10-b663-4e5e-8343-e0cdadab1ac0 · inbound

Tracing the Path to Grokking: Embeddings, Dropout, and Network Activation cites this paper.

Tracing the Path to Grokking: Embeddings, Dropout, and Network Activation Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:12.014069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f98a357-1f12-4e32-9685-f53fee496fca · inbound

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

Learning words in groups: fusion algebras, tensor ranks and grokking Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T22:57:12.089881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.