Paper Citation Record · LEDGER

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.24692.

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

pith.paper-citation-record.v1
2505.24692 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:43.521214Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy26
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21c97598-b00b-446c-b0d7-8faa69ca8a6e · outbound

This paper cites Sample mean based index policies with o(log n) regret for the multi- armed bandit problem.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Sample mean based index policies with o(log n) regret for the multi- armed bandit problem

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:48.725940Z

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 e78fee99-9f3f-4293-bb5c-90ec778e908e · outbound

This paper cites W., and O’Neil, M.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms W., and O’Neil, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:48.462642Z

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 dc2e00b9-8081-4389-878b-98e13be8b188 · outbound

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

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Finite-time analysis of the multi- armed bandit problem

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:48.233703Z

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 91262225-8ee9-407b-936c-cff770ad50ba · outbound

This paper cites Improved rates for the stochastic continuum-armed bandit problem.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Improved rates for the stochastic continuum-armed bandit problem

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:48.083402Z

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 a7c90d19-6913-4c46-9d4e-bd048ecb634e · outbound

This paper cites Advances in neural information processing systems 34 (2021), 3004–3015.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Advances in neural information processing systems 34 (2021), 3004–3015

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:47.958318Z

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 d3d1824d-15e2-4ae4-9ea7-59153334623c · outbound

This paper cites Products and convolutions of gaussian probability density functions.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Products and convolutions of gaussian probability density functions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:47.815555Z

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 c2573588-beca-45fd-91d3-5aa7a1b0aff9 · outbound

This paper cites Online optimization in x-armed bandits.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Online optimization in x-armed bandits

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:47.597208Z

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 23fc418b-1280-42db-8644-23e3888d59c6 · outbound

This paper cites an unresolved cited work.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:47.408149Z

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 ae4e1913-3842-4840-af37-d2551d86533f · outbound

This paper cites Weighted gaussian process bandits for non-stationary environments.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Weighted gaussian process bandits for non-stationary environments

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:47.128135Z

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 6206310f-8209-45af-987f-b52c467ba437 · outbound

This paper cites High-dimensional gaussian process bandits.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms High-dimensional gaussian process bandits

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:46.959054Z

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 986e38c1-ff1c-4624-9902-f34c5cac81d2 · outbound

This paper cites an unresolved cited work.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:46.785217Z

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 3d00c21d-630a-4310-b654-5ad2806bd96c · outbound

This paper cites On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:42.270332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e44030e-9e22-4c62-b49b-c90d5ad17c1e · outbound

This paper cites G., and Thompson, D.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms G., and Thompson, D

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:46.575832Z

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 270275a5-96a4-44d5-9e50-26df4baf7fc8 · outbound

This paper cites an unresolved cited work.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:46.344120Z

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 8971f88a-6dd7-464c-b37f-1da7596032da · outbound

This paper cites Nearly tight bounds for the continuum-armed bandit problem.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Nearly tight bounds for the continuum-armed bandit problem

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:46.130066Z

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 b888a09c-3231-4de8-be63-a669b28b307d · outbound

This paper cites Multi-armed bandits in metric spaces.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Multi-armed bandits in metric spaces

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:45.949460Z

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 151de921-a3b4-4f79-9206-b4c88a5270f3 · outbound

This paper cites Bandits and experts in metric spaces.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Bandits and experts in metric spaces

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:45.745193Z

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 7c0136ea-ea7a-4779-85e4-9d0d685165fd · outbound

This paper cites Discounted ucb.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Discounted ucb

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:45.555187Z

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 c0c28a75-8c3c-445f-862f-4788ab0a3681 · outbound

This paper cites Algorithms for multi-armed bandit problems.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Algorithms for multi-armed bandit problems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:42.697694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21c6c86-6417-4a64-a88f-4a2fdca87fbe · outbound

This paper cites L., and Robbins, H.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms L., and Robbins, H

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:45.364757Z

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 449e39b0-d1e0-4179-b903-c10ba198e0f0 · outbound

This paper cites Gstools v1.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Gstools v1

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:45.199423Z

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 17222e3b-3819-48c5-a4fd-53f5bbe35cc6 · outbound

This paper cites A.On estimating regression.Theory of Probability & Its Applications 9, 1 (1964), 141–142.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms A.On estimating regression.Theory of Probability & Its Applications 9, 1 (1964), 141–142

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:45.017560Z

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 63cc9eb9-ca60-43d1-9de7-8db27646d3b0 · outbound

This paper cites Scikit-learn: Machine learning in python.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Scikit-learn: Machine learning in python

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:44.862858Z

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 15582aa4-190a-47dd-9aee-2e3c7bbe2c97 · outbound

This paper cites Weighted linear bandits for non- stationary environments.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Weighted linear bandits for non- stationary environments

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:44.733101Z

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 95017b36-248e-408d-b4cf-c8a980077298 · outbound

This paper cites Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:43.002375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c50395-233c-4fdc-8be9-496723785ecb · outbound

This paper cites Introduction to multi-armed bandits.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Introduction to multi-armed bandits

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:44.644208Z

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 a6bce740-bcfe-4048-a723-1868b513eb92 · outbound

This paper cites Adapting to a changing environment: the brownian restless bandits.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Adapting to a changing environment: the brownian restless bandits

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:44.492912Z

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 eacb2da3-ec29-45a0-8f32-f08cff2c9b9f · outbound

This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:43.179280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3f0650-590f-4f3d-afc1-f9f7a4098655 · outbound

This paper cites S., and Barto, A.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms S., and Barto, A

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:44.372443Z

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 6f623f2b-611c-4a66-acee-5e5abaf04a9e · outbound

This paper cites an unresolved cited work.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:44.256375Z

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 7e8f5c9b-b018-4fcd-9c74-a178a2d9d7e3 · outbound

This paper cites an unresolved cited work.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:44.126389Z

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 476f6c08-b3df-49fd-90a4-9995d181ad44 · outbound

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

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Optimal order simple regret for gaussian process bandits

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:43.976407Z

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 ca761f29-aeee-41bf-bf45-031f8acba536 · outbound

This paper cites Bandit convex optimization in non-stationary environments.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms Bandit convex optimization in non-stationary environments

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:43.848955Z

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 95013b5c-5caa-4726-ba71-347ad82898aa · outbound

This paper cites A simple approach for non- stationary linear bandits.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms A simple approach for non- stationary linear bandits

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:43.749648Z

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 cdd07967-2312-4fd9-8a21-f6bc3a63155f · outbound

This paper cites No-regret algorithms for time-varying bayesian optimization.

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms No-regret algorithms for time-varying bayesian optimization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:43.654495Z

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.

Pith citing papers

No inbound Pith citation observations are available.