Paper Citation Record · LEDGER

A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.08938.

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

pith.paper-citation-record.v1
2403.08938 v1

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 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:36:32.156934Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:55:51.298299Z

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 32c08120-e198-4a27-9861-ff60026728a2 · 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 A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:32.156934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a612976-2a42-406f-be24-c828e2df867b · inbound

Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models cites this paper.

Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:17:31.027017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 732d3900-b508-4df5-b72d-ddabdf824162 · inbound

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime cites this paper.

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T13:54:28.624764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a5df60-e598-479c-b81f-4f0f7c695a9b · inbound

Double Descent in Quantum Kernel Ridge Regression cites this paper.

Double Descent in Quantum Kernel Ridge Regression A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:46:37.364474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2e62a690-5140-4837-9cfa-b71becf16298 · inbound

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

Large Dimensional Kernel Ridge Regression: Extending to Product Kernels A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator

Reference 143

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:48:28.808092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c955bbc-a228-4d0a-b57b-c861a211394d · inbound

How Width and Data Shape Generalization Scaling Laws in Quadratic Neural Networks cites this paper.

How Width and Data Shape Generalization Scaling Laws in Quadratic Neural Networks A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T16:55:51.300023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.