Paper Citation Record · LEDGER

A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.18938.

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

pith.paper-citation-record.v1
2410.18938 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:28:49.688901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:35:47.570668Z

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 37dde44e-a300-40ce-8239-c1ff8ed2cb78 · inbound

Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks cites this paper.

Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T12:32:47.951110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84927feb-beac-4eb3-a64a-d1fe23e2c2bf · inbound

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning cites this paper.

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T14:47:40.471320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961e36c9-dfba-43fc-94f9-cc3e6e8cb280 · inbound

Precise gradient descent training dynamics for finite-width multi-layer neural networks cites this paper.

Precise gradient descent training dynamics for finite-width multi-layer neural networks A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:28:49.688901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c29e495-9240-4578-8749-506342fb3e01 · inbound

HTMuon: Improving Muon via Heavy-Tailed Spectral Correction cites this paper.

HTMuon: Improving Muon via Heavy-Tailed Spectral Correction A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:55:26.372607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d98f5626-7011-491d-93ed-816cf9385b15 · inbound

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:05:53.362677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7cf48788-7b95-4998-a6ff-50ff5050bccf · inbound

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer cites this paper.

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T10:26:24.215914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 04513e99-1f7d-4c2e-9b8e-d8a73c9ca9bf · inbound

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model cites this paper.

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:39:38.354725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a450d16e-f867-4a7c-b2a0-4fea7c4e7f59 · inbound

Random Matrix Spectra from Boltzmann-Weighted Lattice Ensembles cites this paper.

Random Matrix Spectra from Boltzmann-Weighted Lattice Ensembles A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:43:56.219745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation df074786-b0b8-4b8e-9064-0ced5ce18e0a · inbound

Spectral phase transitions and trainability in neural network learning dynamics cites this paper.

Spectral phase transitions and trainability in neural network learning dynamics A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:35:47.572216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.