Pith. sign in

Paper Citation Record · LEDGER

Precision and Cholesky Factor Estimation for Gaussian Processes

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.08820.

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

pith.paper-citation-record.v1
2412.08820 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:56:45.382070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:16:09.026855Z

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 0c9897e4-45df-4519-b17c-8fac2294ac43 · inbound

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps cites this paper.

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps Precision and Cholesky Factor Estimation for Gaussian Processes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T14:56:45.382070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:56:45.382070Z digest=sha256:642734aa65b32a1898b998ffff880aab3da5188558cbab5f71d74bc59223c365

Observation 7d77e0a8-b905-4853-9a6a-6da772f5731f · inbound

Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes cites this paper.

Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes Precision and Cholesky Factor Estimation for Gaussian Processes

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:16:09.029064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T17:44:13.324346Z digest=sha256:4e644bcba041496c025c0a5ee18552aeb32200786daa6c0944683b06ea2afa1a