Paper Citation Record · LEDGER

On Regularization via Early Stopping for Least Squares Regression

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.04425.

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

pith.paper-citation-record.v1
2406.04425 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:40:42.039660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:13:16.093978Z

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 a37fcd4e-f981-4ab9-8bd2-ce2ed2866e01 · inbound

Design Considerations in Offline Preference-based RL cites this paper.

Design Considerations in Offline Preference-based RL On Regularization via Early Stopping for Least Squares Regression

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-08T19:40:42.039660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f877f99-e23d-4c17-877d-48751c70fcde · inbound

Learning Curves of Stochastic Gradient Descent in Kernel Regression cites this paper.

Learning Curves of Stochastic Gradient Descent in Kernel Regression On Regularization via Early Stopping for Least Squares Regression

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:33.779225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dcd9f08-20e8-4be5-9205-24a7e47597f7 · inbound

Models of Heavy-Tailed Mechanistic Universality cites this paper.

Models of Heavy-Tailed Mechanistic Universality On Regularization via Early Stopping for Least Squares Regression

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:52.009184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e0642f-c593-4c4d-984b-9340fe0d26c8 · inbound

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization cites this paper.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization On Regularization via Early Stopping for Least Squares Regression

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-07T01:15:52.207973Z

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.

Observation d0d9fab8-4841-4671-ac63-b8212d1aeb49 · inbound

Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent cites this paper.

Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent On Regularization via Early Stopping for Least Squares Regression

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T04:46:51.302011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a594fde-86df-4124-aa7c-096f4df730a4 · inbound

Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent cites this paper.

Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent On Regularization via Early Stopping for Least Squares Regression

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T04:46:51.297576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.