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Paper Citation Record · LEDGER

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 4 inbound Pith citation observations for arXiv:2501.18530.

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

pith.paper-citation-record.v1
2501.18530 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:13:39.385811Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:53:45.280757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:55:40.811765Z

Reference resolution

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66485700-259e-4168-92b4-8f4b82a517ad · outbound

This paper cites an unresolved cited work.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Unresolved cited work

Reference 1

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This paper cites Notice that we have re-normalised Sa 2 by √ d in order to work with matrices with O(1) eigenvalues.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Notice that we have re-normalised Sa 2 by √ d in order to work with matrices with O(1) eigenvalues

Reference 2

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This paper cites Pacelli, R., Ariosto, S., Pastore, M., Ginelli, F., Gher- ardi, M., and Rotondo, P.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Pacelli, R., Ariosto, S., Pastore, M., Ginelli, F., Gher- ardi, M., and Rotondo, P

Reference 6

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This paper cites URL https://doi.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation URL https://doi

Reference 7

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation cc/paper_files/paper/2020/file/ 9b8b50fb590c590ffbf1295ce92258dc-Paper

Reference 14

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This paper cites Formally the integration is over the imaginary axis iR.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Formally the integration is over the imaginary axis iR

Reference 18

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Unresolved cited work

Reference 19

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This paper cites (84) Here I(¯S0 2; Y(ˆq2)) is the MI related to the channel (82), µY(ˆq2) is the asymptotic spectral law of the observation matrix Y(ˆq2).

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation (84) Here I(¯S0 2; Y(ˆq2)) is the MI related to the channel (82), µY(ˆq2) is the asymptotic spectral law of the observation matrix Y(ˆq2)

Reference 20

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This paper cites Aiudi, R., Pacelli, R., Baglioni, P., Vezzani, A., Burioni, R., and Rotondo, P.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Aiudi, R., Pacelli, R., Baglioni, P., Vezzani, A., Burioni, R., and Rotondo, P

Reference 39

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This paper cites com/doi/abs/10.1142/0271.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation com/doi/abs/10.1142/0271

Reference 271

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This paper cites doi: 10.1063/1.524438.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation doi: 10.1063/1.524438

Reference 1980

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This paper cites doi: 10.1007/ 978-1-4612-0745-0 2.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation doi: 10.1007/ 978-1-4612-0745-0 2

Reference 1996

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This paper cites URL https: //doi.org/10.1088/0305-4470/31/38/012.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation URL https: //doi.org/10.1088/0305-4470/31/38/012

Reference 1998

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation cc/paper_files/paper/2018/file/ 84f0f20482cde7e5eacaf7364a643d33-Paper

Reference 2018

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This paper cites Fundamental limits of overparametrized shallow neural networks for supervised learning.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Fundamental limits of overparametrized shallow neural networks for supervised learning

Reference 2020

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation cc/paper_files/paper/2021/file/ b24d21019de5e59da180f1661904f49a-Paper

Reference 2021

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Guionnet, A

Reference 2022

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This paper cites Del Giudice, P., Franz, S., and Virasoro, M.

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Del Giudice, P., Franz, S., and Virasoro, M

Reference 2023

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Unresolved cited work

Reference 2024

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation Coding schemes in neural networks learning classification tasks

Reference 2025

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Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance

Reference 8772

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Pith citing papers

Observation 08e55951-6378-4f96-aafb-cd416c0f2510 · inbound

Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime cites this paper.

Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation

Reference 13

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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

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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

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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

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