Paper Citation Record · LEDGER

Vanilla Bayesian Optimization Performs Great in High Dimensions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2402.02229.

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

pith.paper-citation-record.v1
2402.02229 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:39:07.503004Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a92ae9e2-a8c3-4126-9f24-9b3d94f13f1c · inbound

Dimensionality Reduction Techniques for Global Bayesian Optimisation cites this paper.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:07.024672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b4b7be-466e-4766-ad3d-d8a5e4be6413 · inbound

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation cites this paper.

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T17:35:58.296909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89591501-6226-4cfd-a1c6-5278bdce62fe · inbound

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization cites this paper.

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T05:39:07.503004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd98e85a-2db2-4b29-809e-c902d04db9b9 · inbound

Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces cites this paper.

Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:09.788621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216bda21-c021-4e2d-a2ff-c995663cade5 · inbound

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization cites this paper.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T15:52:23.545667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbb6238-12e3-4634-bce0-831371c1704b · inbound

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization cites this paper.

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:54:11.469020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f8c5f1e-8a3a-4a15-9338-2e7a59444529 · inbound

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights cites this paper.

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:21:25.364865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1aaaa5a-94a4-4636-87ca-a0be56615d14 · inbound

Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models cites this paper.

Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.674512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0d73da1-b121-4932-9641-d841868eb55d · inbound

Generative Refinement for Low-Budget Black-Box Optimization cites this paper.

Generative Refinement for Low-Budget Black-Box Optimization Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:08.364270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c2ea026-23f8-4bc2-b722-f62e33652e25 · inbound

Constrained Bayesian Optimisation with Multiple Information Sources cites this paper.

Constrained Bayesian Optimisation with Multiple Information Sources Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:06.265265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e94ad27-2a41-41c1-935a-9132b206f031 · inbound

Modernizing HEBO: a robust Bayesian optimization baseline for practical heteroskedastic and non-stationary problems cites this paper.

Modernizing HEBO: a robust Bayesian optimization baseline for practical heteroskedastic and non-stationary problems Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T10:06:00.970118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2e4d548-fd34-43c7-811d-c4f40a992433 · inbound

Information-Based Exploration via Random Features for Reinforcement Learning cites this paper.

Information-Based Exploration via Random Features for Reinforcement Learning Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T16:35:02.499552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30fd9fc1-72ce-49b3-8a9f-f6a03db436c2 · inbound

Constraining the lives and times of exoplanets through evolutionary Bayesian retrievals cites this paper.

Constraining the lives and times of exoplanets through evolutionary Bayesian retrievals Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-01T01:23:21.280300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.