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Paper Citation Record · LEDGER

A Geometrical Analysis of Kernel Ridge Regression and its Applications

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.07709.

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

pith.paper-citation-record.v1
2404.07709 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:36:32.058227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:34:17.255120Z

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 d8de97ac-3092-40da-9c7e-8ab2417c7805 · 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 Geometrical Analysis of Kernel Ridge Regression and its Applications

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T04:36:32.058227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:36:32.058227Z digest=sha256:73082ff08b72ee2340bb9a86bd3fca9c6507d43c589eb506824a2964974c9eef

Observation a739cffc-b851-443d-b04b-76771b91babe · inbound

Sharp convergence rates for Spectral methods via the feature space decomposition method cites this paper.

Sharp convergence rates for Spectral methods via the feature space decomposition method A Geometrical Analysis of Kernel Ridge Regression and its Applications

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:34:17.257257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T17:33:12.942867Z digest=sha256:aa8e83239f5ec659cdac9f44db0c84474b9d98e4cccc7d2b5cb40d0ddabdb53f