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Paper Citation Record · LEDGER

An analytic comparison of regularization methods for Gaussian Processes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1602.00853.

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

pith.paper-citation-record.v1
1602.00853 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:42:57.190766Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T15:58:37.898275Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 f9d2b4ed-7f88-47dc-a831-ac0cd862aa41 · inbound

Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed cites this paper.

Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed An analytic comparison of regularization methods for Gaussian Processes

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T17:42:57.190766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:42:57.190766Z digest=sha256:560fa2f824be82c12d457490daf59263b5ed50da93d574e421abd7b4bc6cce90

Observation b8739e75-4a3b-48a7-b2a9-0a2335e664d2 · inbound

A Quadratic Order Reduction -- Gaussian Process Ordinary Differential Equation framework for the inference of Large Continuous Dynamical Systems cites this paper.

A Quadratic Order Reduction -- Gaussian Process Ordinary Differential Equation framework for the inference of Large Continuous Dynamical Systems An analytic comparison of regularization methods for Gaussian Processes

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:58:37.899529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T06:17:42.033443Z digest=sha256:721debff8f2ea6cb05f88eb02df17923ee170761865d82ac0d14a43aadeb4f6d