Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:16:41.113837Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.15679.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:16:41.113837Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T07:07:33.125667Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T07:12:09.588158Z
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2a1a8591-66e2-42e2-aade-1c65530cf99c · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Shirk, Terrence J
Reference 1
Source-reported events for the cited work
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Observation 80944bae-a12f-4ae3-8ccc-6ad5dfb55211 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 2
Source-reported events for the cited work
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Observation d30dff3d-d466-4cb3-baba-e061c79cf6cb · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Dillinger, Thomas Klimmek, Mostafa M
Reference 3
Source-reported events for the cited work
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Observation 32690975-4160-4082-b272-22fc2f190920 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Approach to Global Optimization : Theory and Applications
Reference 4
Source-reported events for the cited work
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Observation 058c691f-e9f0-4dcb-8f06-b8668e4b2d1f · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Multidisciplinary design optimization with mixed categorical variables for aircraft design
Reference 5
Source-reported events for the cited work
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Observation 412587fb-5ae3-43b7-b1d0-9191926ca07c · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes A Tutorial on Bayesian Optimization
Reference 6
Source-reported events for the cited work
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Observation 47af3566-f8ba-4153-a0a0-12bd31fb5b13 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces
Reference 7
Source-reported events for the cited work
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Observation de954cab-f452-4a69-99a7-6884999e737f · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Optimisation bayésienne sous contraintes et en grande dimension appliquée à la conception avion avant projet
Reference 8
Source-reported events for the cited work
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Observation 9f52ee65-d5f8-4169-9ecd-b739f5353a6a · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 9
Source-reported events for the cited work
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Observation 42294d1a-65e9-4d88-b012-c16da64c93f6 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 10
Source-reported events for the cited work
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Observation 87f61ab3-2892-4d4d-8004-490a9457fff9 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes , Tiesis, V
Reference 11
Source-reported events for the cited work
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Observation d0b67390-0dcd-4619-b079-67e3a4bf79fe · outbound
Reference 12
Source-reported events for the cited work
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Observation 92287bc2-29cc-4ce9-82ee-958f7a50754b · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization with Inequality Constraints
Reference 13
Source-reported events for the cited work
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Observation 341b400b-dac7-4873-97ff-1e879566a18a · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization with Unknown Constraints
Reference 14
Source-reported events for the cited work
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Observation 1b61c496-373d-40ab-b254-9b6e215d7c78 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes A General Framework for Constrained Bayesian Optimization using Information-based Search
Reference 15
Source-reported events for the cited work
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Observation 49945d78-7422-4d8a-928a-aa692c60cd4b · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
Reference 16
Source-reported events for the cited work
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Observation 7826aee3-ad45-4408-a483-e0b2365c22d7 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Scalable Global Optimization via Local Bayesian Optimization
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6435cee2-bad7-4120-869a-4350e08c1301 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes A Survey on High -dimensional Gaussian Process Modeling with Application to Bayesian Optimization
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57e72aae-4f4a-42f6-9f2f-67dbe20c90ad · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization in a Billion Dimensions via Random Embeddings
Reference 19
Source-reported events for the cited work
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Observation a48e5b31-e6b6-467c-b8ac-34c3eb08e3f8 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
Reference 20
Source-reported events for the cited work
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Observation 73e98771-cea5-4204-84c4-e2403ed5fa0f · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
Reference 21
Source-reported events for the cited work
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Observation 82591608-b8aa-4a52-9fc4-381c76597a0c · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Reference 22
Source-reported events for the cited work
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Observation 205388e8-918a-4627-80fc-da93ba80d5b4 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High Dimensional Bayesian Optimisation and Bandits via Additive Models
Reference 23
Source-reported events for the cited work
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Observation 6e53146d-598e-47e5-a8d5-5a62b8fb85dd · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Reference 24
Source-reported events for the cited work
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Observation f2db80e3-d594-4e3a-9103-e36759daf40c · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Scalable Constrained Bayesian Optimization
Reference 25
Source-reported events for the cited work
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Observation 3d093ab2-d02a-4645-a615-238fc1b4f048 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Computer Model Calibration Using High - Dimensional Output
Reference 26
Source-reported events for the cited work
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Observation ee804d40-5b69-42d6-acb7-7e34c22c6654 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Jolliffe and Jorge Cadima
Reference 27
Source-reported events for the cited work
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Observation ce60ed03-6b1c-407f-b96c-89cebccce9d9 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Reference 28
Source-reported events for the cited work
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Observation c88b2acf-628d-4a61-8b9d-a99a9c15a830 · outbound
Reference 29
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Observation 9ba3a61f-8e08-43a5-88c3-1eb45088b6f9 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 30
Source-reported events for the cited work
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Observation e7137585-5f2f-4fdc-8e39-ff9f21bfbf39 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Kernels for Vector-Valued Functions: a Review
Reference 31
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Observation 7658792e-b12f-446b-bfb9-dec5a0979239 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Multi-task gaussian process prediction
Reference 32
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Observation 7817dc47-3955-42c6-a69b-5ec766f1a169 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 33
Source-reported events for the cited work
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Observation 24f5b6b4-7b88-41e9-928b-d71520babfcf · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization with High-Dimensional Outputs
Reference 34
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Observation b88ac208-2adb-492f-9cef-b9b20d08278b · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bruinsma, Eric Perim, Will Tebbutt, J
Reference 35
Source-reported events for the cited work
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Observation 8579a16b-bb6f-46d8-830f-882aa3241247 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Reference 36
Source-reported events for the cited work
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Observation 110378b0-9fe7-4481-9494-ca6f97a2a48b · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Reference 37
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Observation 83c3c824-cd4e-48bb-83d8-b0b6abe93248 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Lemonge, H.J.C
Reference 38
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Observation 9dbe17c6-77b4-4b35-96c0-e55fe76c124c · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 39
Source-reported events for the cited work
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Observation bdbbe5f1-814a-4ae8-b789-8f12d0675f15 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Daniel and Ori Ishai
Reference 40
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Observation b8304b9b-d210-417a-91ff-097354b3d439 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Maathuis, Roeland De Breuker, and Saullo G
Reference 41
Source-reported events for the cited work
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Observation 2dad9c05-a9ec-4739-99ea-ad07a741c1ce · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 42
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Observation 41028c1e-e977-4d6a-ac42-91d2437fa6ea · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work
Reference 43
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Observation 36131640-8df6-495d-b131-18fe5c737e09 · outbound
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Reference 44
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Observation b3913073-8d20-4c9a-8a62-8f9ea2e33b0a · inbound
Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes
Reference 7
Source-reported events for the cited work
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