Pith. sign in

Paper Citation Record · LEDGER

Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.01294.

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

pith.paper-citation-record.v1
2304.01294 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:44:47.623175Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:44:51.579711Z

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 93c88b9a-b1b0-4ce7-aae0-3e99b265e0c7 · inbound

LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process cites this paper.

LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:44:51.666995Z

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=2026-08-06T11:44:47.623175Z digest=sha256:e47b242da083d6030707d410301ea65ce0d8a1816cbbe72b14f960596444a875

Observation c010828a-bb47-4fdb-9301-190b127027fc · 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 Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T00:38:16.244406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:38:16.244406Z digest=sha256:1684e94f8a185058efa58f0eeced8330bf850ee74cb00136c1598fb42f9102ce