Paper Citation Record · LEDGER

Efficient kernelized bandit algorithms via exploration distributions

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.10091.

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

pith.paper-citation-record.v1
2506.10091 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:01.741027Z

measured 45 of 45 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy36
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac9f0478-c8d9-4ed4-99ce-83f69f1140f6 · outbound

This paper cites Gaussian process optimization in the bandit setting: no regret and experimental design.

Efficient kernelized bandit algorithms via exploration distributions Gaussian process optimization in the bandit setting: no regret and experimental design

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.279710Z

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 e35f878c-eb4b-4fe5-a69d-aa6dc74b6d5c · outbound

This paper cites On kernelized multi-armed bandits.

Efficient kernelized bandit algorithms via exploration distributions On kernelized multi-armed bandits

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.269189Z

Source-reported events for the cited work

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Observation d9f4c71e-1a0a-425f-8973-d3640b604f91 · outbound

This paper cites On the sublinear regret of GP-UCB.

Efficient kernelized bandit algorithms via exploration distributions On the sublinear regret of GP-UCB

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.259292Z

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

Observation 58068e6a-0423-484b-b3b5-afe6502c5ef7 · outbound

This paper cites Survey on Applications of Multi-Armed and Contextual Bandits.

Efficient kernelized bandit algorithms via exploration distributions Survey on Applications of Multi-Armed and Contextual Bandits

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.248991Z

Source-reported events for the cited work

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Observation e9612ff5-e674-4a14-97b8-69b0ecc8e843 · outbound

This paper cites Bayesian Optimization.

Efficient kernelized bandit algorithms via exploration distributions Bayesian Optimization

Reference 5

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Source-reported events for the cited work

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Observation a7a99ec8-4833-415f-96c9-dbefe131565b · outbound

This paper cites Gaussian processes for machine learning.

Efficient kernelized bandit algorithms via exploration distributions Gaussian processes for machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.232979Z

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 a7842652-697f-4527-a289-b28f61237784 · outbound

This paper cites Finite-time analysis of the multi-armed bandit problem.

Efficient kernelized bandit algorithms via exploration distributions Finite-time analysis of the multi-armed bandit problem

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.223225Z

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 55722ab6-9d24-4bf1-bf1a-334b7e37c3f9 · outbound

This paper cites Near-optimal regret bounds for Thompson Sampling.

Efficient kernelized bandit algorithms via exploration distributions Near-optimal regret bounds for Thompson Sampling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.214023Z

Source-reported events for the cited work

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Observation 47f99c5d-2c01-40c0-b5b7-a2a55b382574 · outbound

This paper cites Thompson Sampling for contextual bandits with linear payoffs.

Efficient kernelized bandit algorithms via exploration distributions Thompson Sampling for contextual bandits with linear payoffs

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.203309Z

Source-reported events for the cited work

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Observation b61e87f6-e823-47a6-8d2a-2f6bb761bdc5 · outbound

This paper cites Contextual bandits with linear payoff functions.

Efficient kernelized bandit algorithms via exploration distributions Contextual bandits with linear payoff functions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.194296Z

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 181345e8-5955-4fed-8bfd-8fb6d7bfd835 · outbound

This paper cites Finite-time analysis of kernelised contextual bandits.

Efficient kernelized bandit algorithms via exploration distributions Finite-time analysis of kernelised contextual bandits

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.185521Z

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 a0883603-8c44-48e2-87c8-9649ac39756f · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Efficient kernelized bandit algorithms via exploration distributions Improved algorithms for linear stochastic bandits

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.176738Z

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 3cc2c4b6-25bf-4bee-bf08-15c93caae340 · outbound

This paper cites Lower bounds for time-varying kernelized bandits.

Efficient kernelized bandit algorithms via exploration distributions Lower bounds for time-varying kernelized bandits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.166983Z

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 4e95f8fa-31f0-43ff-8908-4e7493103daa · outbound

This paper cites Lower bounds on regret for noisy gaus- sian process bandit optimization.

Efficient kernelized bandit algorithms via exploration distributions Lower bounds on regret for noisy gaus- sian process bandit optimization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.061821Z

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 064e231f-9bca-4547-a93a-6e3bcc759d13 · outbound

This paper cites Random exploration in Bayesian optimization: Order-optimal regret and computational efficiency.

Efficient kernelized bandit algorithms via exploration distributions Random exploration in Bayesian optimization: Order-optimal regret and computational efficiency

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.052268Z

Source-reported events for the cited work

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Observation be8f8d7b-77de-4c1e-a54b-6f50b12f1fad · outbound

This paper cites Gaussian process bandit optimization with few batches.

Efficient kernelized bandit algorithms via exploration distributions Gaussian process bandit optimization with few batches

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.043410Z

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 70b019a5-a807-43a7-a10a-490d80653f98 · outbound

This paper cites UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem.

Efficient kernelized bandit algorithms via exploration distributions UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.034019Z

Source-reported events for the cited work

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Observation 61b4d054-8d37-4693-927b-bcecefd0a81b · outbound

This paper cites Using confidence bounds for exploitation-exploration trade-offs.

Efficient kernelized bandit algorithms via exploration distributions Using confidence bounds for exploitation-exploration trade-offs

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.025035Z

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 ad342119-8821-49cf-b980-26a45c694f5d · outbound

This paper cites On information gain and regret bounds in gaussian process bandits.

Efficient kernelized bandit algorithms via exploration distributions On information gain and regret bounds in gaussian process bandits

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.015654Z

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 ea31f964-4b2d-406d-acdd-aae189f2e79b · outbound

This paper cites Bandit optimisation of functions in the Matérn kernel RKHS.

Efficient kernelized bandit algorithms via exploration distributions Bandit optimisation of functions in the Matérn kernel RKHS

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:02.006384Z

Source-reported events for the cited work

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Observation 3fd3f7a6-b9a6-45ff-bc6f-04d4a6938480 · outbound

This paper cites Gaussian process bandits with adaptive discretization.

Efficient kernelized bandit algorithms via exploration distributions Gaussian process bandits with adaptive discretization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.996346Z

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 b567f476-59c0-4ec3-b10d-650dbece307a · outbound

This paper cites Instance dependent regret analysis of kernelized ban- dits.

Efficient kernelized bandit algorithms via exploration distributions Instance dependent regret analysis of kernelized ban- dits

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.985287Z

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 eb5c8f29-9ce1-42e0-892c-58f98570ace1 · outbound

This paper cites A lower bound for linear and kernel regression with adaptive covariates.

Efficient kernelized bandit algorithms via exploration distributions A lower bound for linear and kernel regression with adaptive covariates

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.975855Z

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 6513dc3f-4d5b-46d6-a103-0dfda6caa95e · outbound

This paper cites Open problem: Regret bounds for noise-free kernel-based bandits.

Efficient kernelized bandit algorithms via exploration distributions Open problem: Regret bounds for noise-free kernel-based bandits

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.966954Z

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 5e5c53be-066d-41ff-a6ef-c810bfd46084 · outbound

This paper cites Optimal order simple regret for Gaussian process bandits.

Efficient kernelized bandit algorithms via exploration distributions Optimal order simple regret for Gaussian process bandits

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.957752Z

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 ad95c9f5-2989-4784-87f9-a66afd900127 · outbound

This paper cites Open problem: Tight online confidence intervals for RKHS elements.

Efficient kernelized bandit algorithms via exploration distributions Open problem: Tight online confidence intervals for RKHS elements

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.949147Z

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 05b5675c-920b-4951-bd95-3eab25ce263e · outbound

This paper cites Open problem: Order optimal regret bounds for kernel-based reinforcement learning.

Efficient kernelized bandit algorithms via exploration distributions Open problem: Order optimal regret bounds for kernel-based reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.939764Z

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 baa734fc-1c5a-4f01-a8ee-49f1a194a84d · outbound

This paper cites Bayesian optimization under heavy-tailed payoffs.

Efficient kernelized bandit algorithms via exploration distributions Bayesian optimization under heavy-tailed payoffs

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.930792Z

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 b05d556d-144b-4129-805e-a2fa605e1fae · outbound

This paper cites Multi-scale zero-order optimization of smooth functions in an RKHS.

Efficient kernelized bandit algorithms via exploration distributions Multi-scale zero-order optimization of smooth functions in an RKHS

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.921611Z

Source-reported events for the cited work

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Observation ee71ede7-1ede-46cb-8ddd-97682d6c99e0 · outbound

This paper cites Streaming kernel regression with provably adaptive mean, variance, and regularization.

Efficient kernelized bandit algorithms via exploration distributions Streaming kernel regression with provably adaptive mean, variance, and regularization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.911930Z

Source-reported events for the cited work

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Observation 99b56138-3c06-43d5-af6f-f3b2c707c626 · outbound

This paper cites Tighter Confidence Bounds for Sequential Kernel Regression.

Efficient kernelized bandit algorithms via exploration distributions Tighter Confidence Bounds for Sequential Kernel Regression

Reference 31

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Source-reported events for the cited work

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Observation 51b3726b-c17e-4ac1-8805-fc5eb46c19b4 · outbound

This paper cites Enhancing Gaussian process surrogates for optimiza- tion and posterior approximation via random exploration.

Efficient kernelized bandit algorithms via exploration distributions Enhancing Gaussian process surrogates for optimiza- tion and posterior approximation via random exploration

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.903131Z

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 c5441646-0fb9-451e-bd4f-451fab7ba94b · outbound

This paper cites Worst-case regret bounds for exploration via randomized value functions.

Efficient kernelized bandit algorithms via exploration distributions Worst-case regret bounds for exploration via randomized value functions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.893918Z

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 fe5e59a2-864d-42f7-98f6-bf7393459279 · outbound

This paper cites Near-optimal ran- domized exploration for tabular markov decision processes.

Efficient kernelized bandit algorithms via exploration distributions Near-optimal ran- domized exploration for tabular markov decision processes

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.884788Z

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 07b308ca-f693-4b4c-87c5-2cc6e28483ec · outbound

This paper cites A data fusion approach to optimize compositional stability of halide perovskites.

Efficient kernelized bandit algorithms via exploration distributions A data fusion approach to optimize compositional stability of halide perovskites

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.875367Z

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.

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Efficient kernelized bandit algorithms via exploration distributions Unresolved cited work

Reference 36

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Observation f73b772b-c390-4e9f-866f-50afcb79a533 · outbound

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Reference 37

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Observation a5f49d59-040a-4003-902e-9dd14ce20e53 · outbound

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Efficient kernelized bandit algorithms via exploration distributions Unresolved cited work

Reference 38

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Observation e53ca195-9721-4228-84ef-26f5916259a9 · outbound

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Efficient kernelized bandit algorithms via exploration distributions Unresolved cited work

Reference 39

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Observation b4ffc44e-a4ab-4c17-89df-8cf9e6efb814 · outbound

This paper cites V −1/2 t−1 K(·, Xt) · s 2R2 log q det V t−1 /δ + D !# ≤(c) p 2R2γT + 2R2 ln(1/δ) + D E TP t=1 V −1/2 t−1 K(·, Xt) ≤(d) p 2R2γT + 2R2 ln(1/δ) + D E.

Efficient kernelized bandit algorithms via exploration distributions V −1/2 t−1 K(·, Xt) · s 2R2 log q det V t−1 /δ + D !# ≤(c) p 2R2γT + 2R2 ln(1/δ) + D E TP t=1 V −1/2 t−1 K(·, Xt) ≤(d) p 2R2γT + 2R2 ln(1/δ) + D E

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.830038Z

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 91480f40-3ccd-42da-97ef-1055631ad409 · outbound

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Efficient kernelized bandit algorithms via exploration distributions Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:46:01.819841Z

Source-reported events for the cited work

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Observation fa89416a-5847-4fca-ab9d-95418662778d · outbound

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Efficient kernelized bandit algorithms via exploration distributions ghost sample

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.810955Z

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 31b43904-b668-4537-a88f-310e0009a1a8 · outbound

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Efficient kernelized bandit algorithms via exploration distributions Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:46:01.801329Z

Source-reported events for the cited work

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Observation 4ae607ed-ee25-48d7-a879-4e24545d7b1a · outbound

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Efficient kernelized bandit algorithms via exploration distributions Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:46:01.791451Z

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Observation 895938c1-c99d-4b42-85c3-21676c70aa25 · outbound

This paper cites Construct a learning problem instance.

Efficient kernelized bandit algorithms via exploration distributions Construct a learning problem instance

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:46:01.781274Z

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.

Pith citing papers

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