Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T20:20:43.894093Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.00237.
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 2026-05-09T20:20:43.894093Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
31 of 31 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f04610bf-e698-4a6e-9a80-89c2c7477f48 · outbound
Bayesian Optimization in Linear Time Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, and Ey- tan Bakshy
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b3ba2d56-6273-45eb-992b-839c9f571bef · outbound
Bayesian Optimization in Linear Time R package version 1.0.4
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac38a4a7-f6a2-42fa-a51c-ac031de526a3 · outbound
Bayesian Optimization in Linear Time Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6bba2cbc-e09b-42c6-b5bd-76d1fe666b2d · outbound
Bayesian Optimization in Linear Time Standard particle swarm optimisation.HAL preprint hal-00764996
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 856f232d-a7a0-4bfd-a83f-b4663890dbae · outbound
Bayesian Optimization in Linear Time Scalable global optimization via local Bayesian optimization
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 00ec910e-d77c-4948-9ab5-f7407d458b7f · outbound
Bayesian Optimization in Linear Time CambridgeUniversity Press
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation edff470e-5bf4-45b5-ad8a-e6632fc602cf · outbound
Bayesian Optimization in Linear Time Unresolved cited work
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 00fc9dce-4772-4181-b344-ae56815e9bc4 · outbound
Bayesian Optimization in Linear Time Scalable Bayesian opti- mization using Vecchia approximations of Gaussian processes
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 35eb9fd6-1504-4071-99cd-0a0eeb2688a0 · outbound
Bayesian Optimization in Linear Time Mopta 2008 benchmark
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 235de5a4-06a1-4c64-a5ae-94ee911b714c · outbound
Bayesian Optimization in Linear Time Benchmark problems for constrained global optimizationwithhigh-dimensionalblack-boxfunctions
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 936fd8a8-e78e-45e4-96e8-4ecc5dff0a1e · outbound
Bayesian Optimization in Linear Time Efficient global optimization of expensive black-box functions
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a3cd62ca-9052-4c46-a585-803608572a69 · outbound
Bayesian Optimization in Linear Time Welch.EGO: Efficient Global Optimization
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8e471f34-cb15-4a21-a07e-77f5e81fd362 · outbound
Bayesian Optimization in Linear Time Rousseeuw.Finding Groups in Data: An Introduction to Cluster Analysis
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3ecf09dd-5188-43a7-b7d0-c21b4224a1da · outbound
Bayesian Optimization in Linear Time Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 628bd2a7-0533-4692-be58-1bf0b17bff01 · outbound
Bayesian Optimization in Linear Time When Gaussian process meets big data: A review of scalable gps.IEEE transactions on neural networks and learning sys- tems
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0745f150-761a-4313-9162-057bac7d2532 · outbound
Bayesian Optimization in Linear Time Choos- ing the sample size of a computer experiment: A practical guide.Technometrics
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e2ecbf47-7cb6-43a7-90c6-2aa91b09b70c · outbound
Bayesian Optimization in Linear Time Geneticoptimiza- tion using derivatives: The rgenoud package for R.Journal of Statistical Software
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aea924e9-402b-44eb-9cd6-e11c2368962a · outbound
Bayesian Optimization in Linear Time Foundations of Machine Learning
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7830345d-f589-4888-9879-385ba7814e82 · outbound
Bayesian Optimization in Linear Time Number153inAppliedMathematical Sciences
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation afa9456a-5cca-42fe-b182-5dcd4d796fd9 · outbound
Bayesian Optimization in Linear Time DiceOptim: Kriging-Based Optimization for Computer Ex- periments
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 57bbd130-916c-47d7-abb8-609ff69a7f03 · outbound
Bayesian Optimization in Linear Time R Foundation for Statistical Computing
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b9ad80b-bb43-4d40-97b0-8899a12a4e81 · outbound
Bayesian Optimization in Linear Time DiceK- riging, DiceOptim: Two R packages for the analysis of com- puter experiments by kriging-based metamodeling and opti- mization.Journal of Statistical Software
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fae42cf0-14c5-4bc4-995c-5d47d8a421eb · outbound
Bayesian Optimization in Linear Time Virtual library of sim- ulation experiments: Test functions and datasets
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fdde65c2-61e1-4beb-9ee2-3b5d568e4bac · outbound
Bayesian Optimization in Linear Time Unresolved cited work
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ee23cbe-5d07-4dd2-b96f-0ed4c79dab32 · outbound
Bayesian Optimization in Linear Time Blaschko
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a2cbda49-da83-4225-b510-5ae3a0559587 · outbound
Bayesian Optimization in Linear Time Bayesian op- timization is superior to random search for machine learning hyperparameter tuning: Analysis of the black-box optimiza- tion challenge 2020
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1e4c709b-81f4-4654-9242-64b9a8e40406 · outbound
Bayesian Optimization in Linear Time Learning search space partition for black-box optimization using Monte Carlo tree search.Advances in Neural Information Processing Systems
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dac8c411-681a-46d6-9a47-81826f44693d · outbound
Bayesian Optimization in Linear Time Bayesianoptimizationinabilliondimen- sionsviarandomembeddings.JournalofArtificialIntelligence Research
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 52615995-51da-49e9-9459-f59200da50e3 · outbound
Bayesian Optimization in Linear Time ScalableBayesianoptimizationviafocalizedsparse Gaussian processes
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 57ab6e0d-56ad-4920-9527-7aca3f393c13 · outbound
Bayesian Optimization in Linear Time Using trajec- tory data to improve Bayesian optimization for reinforcement learning.Journal of Machine Learning Research
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 11a64ca0-ed91-408c-9e13-e8cef2411cb4 · outbound
Bayesian Optimization in Linear Time Are ran- domdecompositionsallweneedinhighdimensionalBayesian optimisation? InInternational Conference on Machine Learn- ing
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
No inbound Pith citation observations are available.