Paper Citation Record · LEDGER

Exploring Exploration in Bayesian Optimization

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2502.08208.

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

pith.paper-citation-record.v1
2502.08208 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T03:27:45.840995Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:12:45.802687Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T03:32:28.420139Z

Reference resolution

18 of 18 outbound references displayed

verified exact5
verified fuzzy12
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7449118c-9741-4a1e-9455-173a9e7f0153 · outbound

This paper cites PI is back! Switching Acquisition Functions in Bayesian Optimization.

Exploring Exploration in Bayesian Optimization PI is back! Switching Acquisition Functions in Bayesian Optimization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.762507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb3dd2e2-cfbc-45dd-aa67-2c22f92fe7f4 · outbound

This paper cites A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization.

Exploring Exploration in Bayesian Optimization A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:32:28.747015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54461ed6-5e21-42b3-814c-d49dff320c69 · outbound

This paper cites Advanced population diversity measures in genetic programming.

Exploring Exploration in Bayesian Optimization Advanced population diversity measures in genetic programming

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.747055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d1d2a72-f5ce-42a6-a181-0cbbea572e41 · outbound

This paper cites Cambridge online dictionary.

Exploring Exploration in Bayesian Optimization Cambridge online dictionary

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.739210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57c69585-4f9c-4d4d-aad3-8127720c06a2 · outbound

This paper cites A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization.

Exploring Exploration in Bayesian Optimization A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:32:28.740925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e4de021-81ee-41f7-a155-6cbab179b429 · outbound

This paper cites Accessed: 2025-02-06.

Exploring Exploration in Bayesian Optimization Accessed: 2025-02-06

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.735682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 963df5ab-049a-48e9-87f4-4aee5ad6d510 · outbound

This paper cites Towards Gaus- sian process-based optimization with finite time horizon.

Exploring Exploration in Bayesian Optimization Towards Gaus- sian process-based optimization with finite time horizon

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.759706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc949c93-dcea-4cfc-ba0f-8f4d8e5e1c8a · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Exploring Exploration in Bayesian Optimization The CMA Evolution Strategy: A Tutorial

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:32:28.729886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aa8b2086-e1a9-4e7c-99be-092a290decf7 · outbound

This paper cites CMA-ES/pycma on Github.

Exploring Exploration in Bayesian Optimization CMA-ES/pycma on Github

Reference 9

Resolution: verified exact; doi, observed 2026-05-23T03:32:27.608102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ab83967-3819-4d58-b2ad-a270a6844a4e · outbound

This paper cites librosa/librosa: 0.6.3.

Exploring Exploration in Bayesian Optimization librosa/librosa: 0.6.3

Reference 10

Resolution: malformed identifier; doi_truncated, observed 2026-05-23T03:32:27.612819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aaf7039f-71a4-4ed5-b898-3b2a05ad763a · outbound

This paper cites Analyzing exploration exploita- tion trade-off by means of PI similarity index and dic- tyostelium based genetic algorithm.

Exploring Exploration in Bayesian Optimization Analyzing exploration exploita- tion trade-off by means of PI similarity index and dic- tyostelium based genetic algorithm

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.765968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ddf42b8-a476-4735-81af-7454ff96c086 · outbound

This paper cites Algorithms for multi-armed bandit problems.

Exploring Exploration in Bayesian Optimization Algorithms for multi-armed bandit problems

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:32:28.735921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51ae97a4-6735-47ae-b09d-fbb44161790c · outbound

This paper cites Approximate algorithms for the traveling sales- person problem.

Exploring Exploration in Bayesian Optimization Approximate algorithms for the traveling sales- person problem

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.755655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00256104-e62c-4886-9ac1-a51d5cca3d37 · outbound

This paper cites Plan- ning to be surprised: Optimal Bayesian exploration in dynamic environments.

Exploring Exploration in Bayesian Optimization Plan- ning to be surprised: Optimal Bayesian exploration in dynamic environments

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.759128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3349d8a-763e-497b-bd6b-021a64e44996 · outbound

This paper cites Virtual library of simulation experiments: Test functions and datasets, optimization test problems.

Exploring Exploration in Bayesian Optimization Virtual library of simulation experiments: Test functions and datasets, optimization test problems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.767446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eb13e113-05f7-4fba-be0c-db1827bf053d · outbound

This paper cites Our proof follows from Balogh et al.

Exploring Exploration in Bayesian Optimization Our proof follows from Balogh et al

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.771753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd7677cf-323d-44f7-a1ab-0922399dbb7e · outbound

This paper cites A more recent study [Devroye and Györfi, 2021] presents a consistency result for the KL estimator even when the density function is not smooth.

Exploring Exploration in Bayesian Optimization A more recent study [Devroye and Györfi, 2021] presents a consistency result for the KL estimator even when the density function is not smooth

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.754073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6b0daf0-0b02-4ca3-85f8-01ebcd15728f · outbound

This paper cites E RUNTIME ANALYSIS We analyze the runtimes for OTSD and OE.

Exploring Exploration in Bayesian Optimization E RUNTIME ANALYSIS We analyze the runtimes for OTSD and OE

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:05:22.756944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 71d05d1d-435e-48e7-93bc-7261bd939a4a · inbound

Understanding High-Dimensional Bayesian Optimization cites this paper.

Understanding High-Dimensional Bayesian Optimization Exploring Exploration in Bayesian Optimization

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:32:28.422906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88492079-2aa2-4dab-9ad9-f5e5cc448c7c · inbound

Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization cites this paper.

Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization Exploring Exploration in Bayesian Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T00:12:45.802687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.