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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:47:40.471320Z

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 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.

source=arxiv_source observed=2026-08-09T14:47:40.471320Z digest=sha256:287c81c1eba81b0b4b809cf063bf54fe300370e0aa4774cbbe9e9ce7785baa35

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T06:50:29.893126Z digest=sha256:eda36a2889cd8cf64549cbbffde3069f0eeec207361b471950a2c570f16d9917

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T03:02:52.833353Z digest=sha256:dcc13f7e3065a1ec2642ad367748d66e8be97f1e0a9d78fe90495d6a994aacd6

Observation 7cf48788-7b95-4998-a6ff-50ff5050bccf · 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 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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T10:25:54.649302Z digest=sha256:9878f60ce8c4976f76b3ddbc7419bc0b1529ba7219332096b0da4129813ff82c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T01:39:21.733359Z digest=sha256:51241a6d633d80996a12264cff6c76e4fb2e959c9997a9dbc441be0f0dbcefff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T03:42:39.920436Z digest=sha256:df9b12664d7e2a1d31565f5d59b63d71b65391e836ba66b60f59439b8dd0ead3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T01:22:17.359656Z digest=sha256:18374dee33dd368dfe18425d62dfa0b450610b48fdfe12b0b03630767869b849