Paper Citation Record · LEDGER

Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2204.10425.

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

pith.paper-citation-record.v1
2204.10425 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:33.451924Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1189fcd3-43d9-4d57-a307-450672fe5a89 · inbound

Scaling and renormalization in high-dimensional regression cites this paper.

Scaling and renormalization in high-dimensional regression Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T01:55:55.101457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da2afadb-742d-46d3-a9af-f9740e6800ce · inbound

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

Learning Curves of Stochastic Gradient Descent in Kernel Regression Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:33.451924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532d36ad-35a6-441d-aef4-bc92c33a7f2c · inbound

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

Large Dimensional Kernel Ridge Regression: Extending to Product Kernels Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:48:28.783328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45df7ccb-67d6-4d89-a10c-7073ac0bd8bb · inbound

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model cites this paper.

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:39:38.407275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d586548-838e-41b2-94d2-3787f2b65337 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

Reference 162

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:55.982788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 921ba775-0ef2-4b60-88e7-933ae772ddbc · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Reference 162

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.739772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9edbbc0-1acf-44e1-8f5f-7a655d7ea7b0 · inbound

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching cites this paper.

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

Reference 176

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T02:38:55.636667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 32f25629-87dc-4170-8c9f-5d91bfb8f28b · inbound

Marchenko-Pastur law for tensor powers of exchangeable unconditional vectors cites this paper.

Marchenko-Pastur law for tensor powers of exchangeable unconditional vectors Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T06:51:24.642829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.