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Paper Citation Record · LEDGER

Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1203.4354.

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

pith.paper-citation-record.v1
1203.4354 v1

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:46:01.698100Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

3
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cb7ede52-bb04-4b10-9dea-4cda94d4e811 · inbound

Infinite-Dimensional Spherical Kernel ridge Regression cites this paper.

Infinite-Dimensional Spherical Kernel ridge Regression Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods

Reference 132

Resolution
verified exact
local_arxiv, observed 2026-06-28T22:02:41.640984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T21:46:01.698100Z digest=sha256:c6e146f97833e2d9b8490cda18b8e17914c032a73d45e1d7df765ac93449d753

Observation 4dc60af1-d79b-44c1-a4fe-2006de4df8f7 · inbound

Subsampling for supervised learning in reproducing kernel Hilbert spaces cites this paper.

Subsampling for supervised learning in reproducing kernel Hilbert spaces Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-07-04T07:49:39.271888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T12:47:53.892805Z digest=sha256:e7eefad73bca93fe40bfdfaa72c09ea3e509f6df806d46b63fed6635b12fe045