Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.18530.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:46:58.450056Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:55:40.811765Z
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 f1cd2bcc-79ba-4acf-be0e-c9c36e7a0874 · inbound
Microscopic and collective signatures of feature learning in neural networks cites this paper.
Microscopic and collective signatures of feature learning in neural networks Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:46:58.450056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cb58844-94df-4d22-a4f3-0cea5a276554 · inbound
Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime cites this paper.
Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-07-27T01:19:45.486658Z
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.
Observation 3cbd02fb-0489-42c3-b393-78e5c295a582 · inbound
Explaining Machine Learning and Memorization with Statistical Mechanics cites this paper.
Explaining Machine Learning and Memorization with Statistical Mechanics Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-27T01:19:45.486658Z
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.