Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.11807.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:05:40.710001Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T11:07:56.044921Z
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 dd0a00d8-e03e-48f0-914b-cc8aa24e47bb · inbound
Proportional infinite-width infinite-depth limit for deep linear neural networks cites this paper.
Proportional infinite-width infinite-depth limit for deep linear neural networks Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:05:40.710001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7d166d9-4138-4daf-b1f0-8d391f82bb7b · inbound
Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks cites this paper.
Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T11:07:56.052005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1a68d15e-cb6f-4790-bfba-11cedf9c0da1 · inbound
Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation cites this paper.
Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks
Reference 111
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:44:21.365258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.