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Paper Citation Record · LEDGER

Appearance of Random Matrix Theory in Deep Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.06740.

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

pith.paper-citation-record.v1
2102.06740 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:28:29.746912Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:12:05.471191Z

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 09f95c5e-559e-4280-a923-29b80a7bca90 · inbound

Random Matrix Theory for Stochastic Gradient Descent cites this paper.

Random Matrix Theory for Stochastic Gradient Descent Appearance of Random Matrix Theory in Deep Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T23:28:29.746912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:28:29.746912Z digest=sha256:ce9dd6c797839dea8f1a652e5d367548dc181c6d3a08ef9d536424d76da67761

Observation 85577a08-7d10-49a6-b652-4d3a5e88de36 · inbound

Spectral distribution of sparse Gaussian Ensembles of Real Asymmetric Matrices cites this paper.

Spectral distribution of sparse Gaussian Ensembles of Real Asymmetric Matrices Appearance of Random Matrix Theory in Deep Learning

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:12:05.475174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T13:12:05.174841Z digest=sha256:5e417a4594ef694267a166d21b02957b52453b54f90e1c000661e7ae2d62cfd5