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Paper Citation Record · LEDGER

Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.07966.

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

pith.paper-citation-record.v1
2503.07966 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:34:02.270980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T04:49:44.653082Z

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 ba7b9a66-8b22-446d-a6ce-4e9e7d849750 · inbound

How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization cites this paper.

How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:49:44.656036Z

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=2026-05-15T04:45:20.091598Z digest=sha256:82f2c76ac4dfbcd7768b038eb2f03ad28807ecc40e5b7f6b3155c700fe2f62c1

Observation 0d98f6b4-000c-44a8-ac3b-9f70692a6485 · inbound

Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification cites this paper.

Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:34:02.270980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:34:02.270980Z digest=sha256:fbca4d2d43de9c160af6dbd067a565cb52c83761d9f80f1ab0b610e9cbfd00d4