Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Benign Overfitting in Two-Layer Neural Networks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.11893.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:40.465321Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T06:52:25.771729Z
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 4ef54f09-6523-4612-bf69-888eda171e7a · inbound
A Classical View on Benign Overfitting: The Role of Sample Size cites this paper.
A Classical View on Benign Overfitting: The Role of Sample Size Rethinking Benign Overfitting in Two-Layer Neural Networks
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:04:40.465321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd6c0127-e00e-4ab3-9953-5a37c5912c66 · inbound
When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias cites this paper.
When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias Rethinking Benign Overfitting in Two-Layer Neural Networks
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:56:07.664528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e8e1f425-7c4c-4629-9b6a-772fc481230b · inbound
When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias cites this paper.
When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias Rethinking Benign Overfitting in Two-Layer Neural Networks
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:52:25.774387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.