Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Vanilla Bayesian Optimization Performs Great in High Dimensions
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.02229.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:09:09.788621Z
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 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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.