Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Grokking: Would Deep Neural Networks Generalize Better?
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.19454.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:02:04.414099Z
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 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 2026-08-14T06:32:32.682623+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.