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Paper Citation Record · LEDGER

Nonstationary Gaussian Process Surrogates

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.19242.

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

pith.paper-citation-record.v1
2305.19242 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:51:15.572765Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:08:39.478253Z

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 625cdabf-65b5-4177-8208-241b1399b3b2 · inbound

Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments cites this paper.

Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments Nonstationary Gaussian Process Surrogates

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T14:51:15.572765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:51:15.572765Z digest=sha256:914b6e7a805906a02ff973fc062e11cf1f187f1432fd71d376bb42d96aaee6a5

Observation 9f162b2c-0e24-48db-924b-f75d1fbb0c78 · inbound

Active Learning via Heteroskedastic Rational Kriging cites this paper.

Active Learning via Heteroskedastic Rational Kriging Nonstationary Gaussian Process Surrogates

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:16.687793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:25:16.687793Z digest=sha256:e60cfb7d05363dbb8181e66b6a5b31ab103da072291be531f75644214c83e395

Observation 297b81c3-0b3e-4ff8-8f94-e95ba3fe085e · inbound

All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates cites this paper.

All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates Nonstationary Gaussian Process Surrogates

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:08:39.480014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T23:07:26.033252Z digest=sha256:0bc02f92ae870eecfcb4917d4846ba4aa4addf645d92fffdf0955dbbdd1dafe2

Observation 99fe4c70-b3d1-4fee-86cf-e34d192efa6f · inbound

Gradient-enhancement and Gradient Predictions for Deep Gaussian Process Modeling of Expensive Computer Experiments cites this paper.

Gradient-enhancement and Gradient Predictions for Deep Gaussian Process Modeling of Expensive Computer Experiments Nonstationary Gaussian Process Surrogates

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T15:11:18.358073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:11:18.358073Z digest=sha256:f763ce586c793d1a6dc93ad052404c338709df293a94b99b1f96130a1a72ed12

Observation c15645ac-c507-4137-b715-d960183fd727 · inbound

Profile Bayesian Optimization for Expensive Computer Experiments cites this paper.

Profile Bayesian Optimization for Expensive Computer Experiments Nonstationary Gaussian Process Surrogates

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.392496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.392496Z digest=sha256:b90f43a974ff6900c8a8101129400ffb38fdd70b4bab27ffcc735504786525c7

Observation 304b7d7b-b11f-4d0f-9a00-9c79557a74f2 · inbound

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities cites this paper.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Nonstationary Gaussian Process Surrogates

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T03:57:23.182196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:57:23.182196Z digest=sha256:c57d6b81c207e2c6e5e362399c997d5fc42bb1b0d3c11d1b69ea4ac8c8562cf3