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Paper Citation Record · LEDGER

More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.06176.

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

pith.paper-citation-record.v1
2203.06176 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:19:07.029681Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T11:19:07.201370Z

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 61ba1729-c35b-4a9c-9a77-1926a53d1574 · inbound

Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.

Adaptive kernel predictors from feature-learning infinite limits of neural networks More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-08T11:19:07.206339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:19:07.029681Z digest=sha256:4e043b7a602bc7fa4cbf2be345b67ed1b6b0b2d5f12c53d08a27d904447e1a1a

Observation ce8da3cb-f71a-4257-8817-80a2963c8734 · inbound

From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis cites this paper.

From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-03T16:34:40.535490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:34:40.535490Z digest=sha256:fdebb76be7a99008a5a8f8f959236b0ea41034b4872a2d4663a525ad0cfece53