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Paper Citation Record · LEDGER

Profile Bayesian Optimization for Expensive Computer Experiments

As of 15 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2512.23581.

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

pith.paper-citation-record.v1
2512.23581 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:40:28.395123Z

measured 8 of 8 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f50018f4-a432-4278-8946-237e52fa113b · outbound

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

Profile Bayesian Optimization for Expensive Computer Experiments Gradient-enhancement and Gradient Predictions for Deep Gaussian Process Modeling of Expensive Computer Experiments

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.374528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.374528Z digest=sha256:384654a59c74c5f608109be429a4f9a8059a95c238589fc4b3396f8ce568678f

Observation 404ef333-6873-4736-8b11-81da48f79c43 · outbound

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

Profile Bayesian Optimization for Expensive Computer Experiments All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.389509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.389509Z digest=sha256:c6b3201f9056762664dc1e89510c77a7909ad53fc3caf5e1877ecff7440e56fe

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

This paper cites Nonstationary Gaussian Process Surrogates.

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=sha256:9b5c1c737aa3e870c909898818dbfb08e1a3432a8c4455276934e512c1c70182

Observation 051c7e2e-9719-4fbf-bbdc-714a281165a4 · outbound

This paper cites The (stationary) Kyger3D function is defined as: f(x) = exp (−x1 −cos(2πx 1)) + sin (2πx3) + exp (−x3 ∗sin(2πx 1)) + cos (2πx2)−exp (−x 2 ∗cos(2πx 1)) forx 1, x2 ∈[0,1].

Profile Bayesian Optimization for Expensive Computer Experiments The (stationary) Kyger3D function is defined as: f(x) = exp (−x1 −cos(2πx 1)) + sin (2πx3) + exp (−x3 ∗sin(2πx 1)) + cos (2πx2)−exp (−x 2 ∗cos(2πx 1)) forx 1, x2 ∈[0,1]

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.395123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.395123Z digest=sha256:acd1660db3875e1018838cf39995399335741832180f4c6578be995562263e50

Observation 9b034ecf-b8ad-43a8-9e31-5a9f230e1ebf · outbound

This paper cites Empirical assessment of deep gaussian process surrogate models for engineering problems.

Profile Bayesian Optimization for Expensive Computer Experiments Empirical assessment of deep gaussian process surrogate models for engineering problems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.386535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.386535Z digest=sha256:490cd336b390e93346cd39f398f9b752dc7b4f31714e84407aef2d05299d6347

Observation 8d143e54-716b-475b-bd78-44054630229e · outbound

This paper cites Improving the expected improvement algorithm.

Profile Bayesian Optimization for Expensive Computer Experiments Improving the expected improvement algorithm

Reference 287

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.383640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.383640Z digest=sha256:e63d2fd4f0730334ad23adcb45f555718662f2559befac769b7de61e811a0d64

Observation 877c0f50-d483-444f-97cc-6302c3e0a7b1 · outbound

This paper cites A general framework for Vecchia approximations of Gaussian processes.

Profile Bayesian Optimization for Expensive Computer Experiments A general framework for Vecchia approximations of Gaussian processes

Reference 3623

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.380910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.380910Z digest=sha256:6d50275bc99ae382dde95b1c82d78a4c9ff0fa481a08d8e8d74422c066ff3b10

Observation 70a40c96-6935-4250-ac60-077842b9b5aa · outbound

This paper cites Bayesian optimization.

Profile Bayesian Optimization for Expensive Computer Experiments Bayesian optimization

Reference 3687

Resolution
unresolved
no resolver link, observed 2026-08-03T13:40:28.377986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:40:28.377986Z digest=sha256:bba8d512b4d6ee7e58e44ce61baebc9f75cb4ca7681c40843afcd65ba19180c7

Pith citing papers

No inbound Pith citation observations are available.