Paper Citation Record · LEDGER

Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.01774.

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

pith.paper-citation-record.v1
2410.01774 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:10:22.700899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:52:25.781742Z

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 e1375b1d-de87-4101-825d-eac3a6001cab · inbound

The broader spectrum of in-context learning cites this paper.

The broader spectrum of in-context learning Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:10:22.700899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a3ee11-2376-4566-9c45-12c46a23161b · inbound

Benign Overfitting in Adversarial Training for Vision Transformers cites this paper.

Benign Overfitting in Adversarial Training for Vision Transformers Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:19.098467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d877c57-c9dd-49e9-9f0d-4b0be67e679b · 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 Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:56:07.649376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa96c79e-2ccd-474c-9bca-a867c59d228c · 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 Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:52:25.785414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.