Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Grokking as the Transition from Lazy to Rich Training Dynamics
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2310.06110.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:50:40.152580Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T00:47:42.198974Z
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 2dd2ed86-0111-4bd1-8573-51693f3f3a51 · inbound
Not All Explanations for Deep Learning Phenomena Are Equally Valuable cites this paper.
Not All Explanations for Deep Learning Phenomena Are Equally Valuable Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:50:40.152580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59989079-aa73-4069-bec2-1dbc2a1823e9 · inbound
The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations cites this paper.
The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:31:21.129096Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2692c4de-ed6f-4363-a4f0-7f070d64067e · 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 as the Transition from Lazy to Rich Training Dynamics
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:57:12.143845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 574283a4-2f95-41ed-94dd-e4052cc9e48f · inbound
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking cites this paper.
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:36:40.851308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9316636d-9b52-44cd-95ac-45a95468bb3b · inbound
The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure cites this paper.
The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:40:18.295839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0b967ea0-67d0-479b-b0b4-e5e7888b647c · inbound
The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior cites this paper.
The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:17:58.887526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4e3c5e82-4e33-44cd-86a2-2484a52fbde4 · inbound
Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking cites this paper.
Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:31:25.871766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fa32bc3e-013a-47e6-9a0a-ee59e0e287b1 · inbound
A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.
A Systematic Study of Behavioral Cloning for Scientific Data Annotation Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 186
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T16:23:38.968097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3b5e4917-b072-4e73-9bad-6710e22690a5 · inbound
What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy cites this paper.
What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T21:18:58.703127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ab1b0575-3eed-431d-92cc-56cdb835e17c · inbound
Learning as Observable Matrix Dynamics: Diffusive Relaxations versus Phase Transitions cites this paper.
Learning as Observable Matrix Dynamics: Diffusive Relaxations versus Phase Transitions Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:04:21.149023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 46239261-2191-40c5-ad9c-0c920480294f · 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 as the Transition from Lazy to Rich Training Dynamics
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:46:29.099447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a17297f-11fd-4945-a901-392dee7095cc · inbound
At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics cites this paper.
At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics Grokking as the Transition from Lazy to Rich Training Dynamics
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T00:47:42.223238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85db5dd2-81a7-4cae-8a15-34577a7c9cf8 · 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 as the Transition from Lazy to Rich Training Dynamics
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:55:34.969405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.