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Paper Citation Record · LEDGER

Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.14591.

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

pith.paper-citation-record.v1
2112.14591 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:38:18.482279Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:38:50.222876Z

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 26545118-abc5-476c-80cc-a47cd981eaf9 · inbound

A review of regularised estimation methods and cross-validation in spatiotemporal statistics cites this paper.

A review of regularised estimation methods and cross-validation in spatiotemporal statistics Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:38:50.225618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T03:36:13.947570Z digest=sha256:a19e952217e31175225053f660159f1cf064c6d44b8222b817bfe08539b02b13

Observation d1b90ec7-63f9-434d-8757-7992ac54e471 · inbound

A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications cites this paper.

A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T00:38:18.482279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:38:18.482279Z digest=sha256:f11e51f033599b499ca943d8dc8b5bf27e0dc20543a1121266e7ecc1394bf038