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Paper Citation Record · LEDGER

Approximate full conformal prediction in an RKHS

As of 21 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2601.13102.

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

pith.paper-citation-record.v1
2601.13102 v3

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:48:03.339177Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 014c8ded-3eae-4411-945c-eecb956e3a6e · outbound

This paper cites Statistical Properties of the log-cosh Loss Function Used in Machine Learning.

Approximate full conformal prediction in an RKHS Statistical Properties of the log-cosh Loss Function Used in Machine Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T09:48:03.129585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:48:03.129585Z digest=sha256:7163145c0588435b1c46a00ebb0be4a446babf46a304a8addfedafa194bf1d11

Observation 751bf2cd-8e8f-4550-885d-0555a9b009da · outbound

This paper cites Sublinear time low-rank approximation of positive semidefinite matrices.

Approximate full conformal prediction in an RKHS Sublinear time low-rank approximation of positive semidefinite matrices

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-03T09:48:03.007714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:48:03.007714Z digest=sha256:903dc4d28d5e33dcb9e18e7be6682ef49ff328ad2de68304924d6162c8565255

Observation 3b9f812d-6bbc-46d2-9ce6-29b097658d35 · outbound

This paper cites Conformalized kernel ridge regression.

Approximate full conformal prediction in an RKHS Conformalized kernel ridge regression

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-03T09:48:02.822553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:48:02.822553Z digest=sha256:137647411597007c69dd6923714cd0d05dc2d300e1dff270a1559b188c6dbbe4

Observation 9a29f53f-b5f0-4737-b56d-2d42ee6b2b98 · outbound

This paper cites Valid Selection among Conformal Sets.

Approximate full conformal prediction in an RKHS Valid Selection among Conformal Sets

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-03T09:48:02.895039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:48:02.895039Z digest=sha256:a7a7f1356138c8ce6815aaf745e9545ace7a150e19ad9aef163b49b6b075aad0

Observation 193c841d-318e-4c31-bdaa-a06e56be5e3f · outbound

This paper cites doi: https: //doi.org/10.10007/978-3-031-06649-8.

Approximate full conformal prediction in an RKHS doi: https: //doi.org/10.10007/978-3-031-06649-8

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T09:48:03.339177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:48:03.339177Z digest=sha256:87df2c7a2fc721b7a3b6f0642006d44fa45d73e47d54ebce5192cc1c8d5aa3ed

Observation 3a6f076f-d914-4bae-b0a2-486357892dce · outbound

This paper cites Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications.

Approximate full conformal prediction in an RKHS Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T09:48:03.204829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:48:03.204829Z digest=sha256:209a352ab177a6be60d7f5fda10c48f3cabce041ba8c4a9bc5b0410c607d43bb

Pith citing papers

No inbound Pith citation observations are available.