Paper Citation Record · LEDGER

Optimal Rate of Kernel Regression in Large Dimensions

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.04268.

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

pith.paper-citation-record.v1
2309.04268 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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:36:32.137166Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T01:48:28.794872Z

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 79c64076-8102-4815-b074-e339ee1137e8 · inbound

Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories cites this paper.

Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories Optimal Rate of Kernel Regression in Large Dimensions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:32.137166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7defaae6-598d-4d1d-9add-11fa67264a00 · inbound

Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression cites this paper.

Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression Optimal Rate of Kernel Regression in Large Dimensions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T22:45:01.868859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03765ffb-98b9-422f-9dd6-c181a74710d1 · inbound

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

Learning Curves of Stochastic Gradient Descent in Kernel Regression Optimal Rate of Kernel Regression in Large Dimensions

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:33.246191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25781a71-7247-4717-bf74-443b7858ca3d · inbound

Large Dimensional Kernel Ridge Regression: Extending to Product Kernels cites this paper.

Large Dimensional Kernel Ridge Regression: Extending to Product Kernels Optimal Rate of Kernel Regression in Large Dimensions

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:48:28.796948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.