Pith. sign in

Paper Citation Record · LEDGER

Gaussian Universality of Perceptrons with Random Labels

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.13303.

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

pith.paper-citation-record.v1
2205.13303 v2

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:08:19.321580Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:33:06.894764Z

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 5baed0b7-48ba-4d39-9642-005948271ba0 · inbound

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm cites this paper.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Gaussian Universality of Perceptrons with Random Labels

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.321580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.321580Z digest=sha256:1054efe01ee7103c1cfd15c0019a67c2a8411841a4f1e07790e72f8967855482

Observation bcbdb4dc-5922-40fc-b326-55c6a82c9bce · inbound

Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization cites this paper.

Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization Gaussian Universality of Perceptrons with Random Labels

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:33:06.896711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T18:28:32.915468Z digest=sha256:a7008bc0eb626b6c8d0001be2fd2342e7bf950336669f11cf18fa2abe817072f