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Paper Citation Record · LEDGER

Hilbert Space Methods for Reduced-Rank Gaussian Process Regression

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1401.5508.

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

pith.paper-citation-record.v1
1401.5508 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:10:14.312443Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T18:00:26.129169Z

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 af84c248-1ec3-48ff-83e0-b9bf8c79176b · inbound

Deep kernel learning for integral measurements cites this paper.

Deep kernel learning for integral measurements Hilbert Space Methods for Reduced-Rank Gaussian Process Regression

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T05:10:14.312443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:10:14.312443Z digest=sha256:0b82f88ad7760a99e1750e5ba50e0fcf4f615421f0f75e7501f57b1ddbb4f3ce

Observation ce6e76f0-e6f4-4a87-ae15-487b5ef5bc1d · inbound

Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks cites this paper.

Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks Hilbert Space Methods for Reduced-Rank Gaussian Process Regression

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-08T18:00:26.136876Z

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=pdf_text observed=2026-08-08T18:00:26.081342Z digest=sha256:b662be912b21f91f136d0001491a6234b9b18364019aabff19b061c4b636d0ed