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Paper Citation Record · LEDGER

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation

As of 22 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2506.02933.

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

pith.paper-citation-record.v1
2506.02933 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:24.068528Z

measured 50 of 50 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

50 of 50 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed126621-7ada-486a-8b21-e4e666f3e4b3 · outbound

This paper cites Modification of improved upper confidence bounds for regulating exploration in Monte-Carlo tree search.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Modification of improved upper confidence bounds for regulating exploration in Monte-Carlo tree search

Reference 1

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

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Observation 9bee420e-04bf-49bb-b87a-2e5fad1bdfb2 · outbound

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

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation UCB revisited: Improved regret bounds for the stochas- tic multi-armed bandit problem

Reference 2

Resolution
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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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Observation d8ac496f-7bbb-42b0-a038-c00084c686de · outbound

This paper cites Some aspects of the sequential design of experiments.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Some aspects of the sequential design of experiments

Reference 3

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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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Observation 2d0ff7d8-34d8-4b7b-95b2-06cea60b6ed1 · outbound

This paper cites A contextual-bandit approach to personalized news article recommen- dation.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation A contextual-bandit approach to personalized news article recommen- dation

Reference 4

Resolution
verified fuzzy
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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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Observation a9983ed9-ab9c-475f-85c5-a3a6cd933783 · outbound

This paper cites Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms

Reference 5

Resolution
verified fuzzy
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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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Observation f8c603d4-7a5d-4815-bc56-7aefe2a284db · outbound

This paper cites Combinatorial multi-armed bandit: General framework and applications.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Combinatorial multi-armed bandit: General framework and applications

Reference 6

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verified fuzzy
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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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Observation 2530ccdc-c97f-402f-a4bb-cf3be50e7b13 · outbound

This paper cites Bandit algorithms.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Bandit algorithms

Reference 7

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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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Observation 08562caa-2677-407e-af50-23929cafd1f4 · outbound

This paper cites Stochastic multi-armed-bandit problem with non-stationary rewards.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Stochastic multi-armed-bandit problem with non-stationary rewards

Reference 8

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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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Observation e728bb73-4116-4bc7-916a-509810b12ba3 · outbound

This paper cites On upper-confidence bound policies for switching bandit problems.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation On upper-confidence bound policies for switching bandit problems

Reference 9

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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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Observation dc8f2c9e-8df3-4b37-a817-3250adda8b9f · outbound

This paper cites Discounted ucb.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Discounted ucb

Reference 10

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

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Observation 33260380-10ef-4f6f-b9be-f6d4f7ad5272 · outbound

This paper cites Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm

Reference 11

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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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Observation c4517ee3-9330-4b48-abbf-714f11b93c94 · outbound

This paper cites Exploration–exploitation tradeoff using variance estimates in multi-armed bandits.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Exploration–exploitation tradeoff using variance estimates in multi-armed bandits

Reference 12

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verified fuzzy
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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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Observation 19a19508-9e37-40f4-8b93-a1fff5c52e5f · outbound

This paper cites Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c2d8e11b-04fb-43e8-8472-4845e6f62226 · outbound

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

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Finite-time analysis of the multi- armed bandit problem

Reference 14

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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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Observation f67a096f-f95d-42fe-944e-b399bd7dc42f · outbound

This paper cites Adaptive ε-greedy exploration in reinforcement learning based on value differences.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Adaptive ε-greedy exploration in reinforcement learning based on value differences

Reference 15

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

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Observation 5bb71e56-bc6a-49f9-a14b-2912a7e0f8c3 · outbound

This paper cites Real-time self-adaptive Q-learning controller for energy man- agement of conventional autonomous vehicles.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Real-time self-adaptive Q-learning controller for energy man- agement of conventional autonomous vehicles

Reference 16

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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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Observation 654a3c65-97c3-4ba0-a5a4-39ed517e74ed · outbound

This paper cites A note on the advantage of context in Thompson sam- pling.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation A note on the advantage of context in Thompson sam- pling

Reference 17

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

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Observation 7313922b-8124-41d9-9bb0-36e84e4dc686 · outbound

This paper cites Efficient-ucbv: An almost optimal algorithm using vari- ance estimates.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Efficient-ucbv: An almost optimal algorithm using vari- ance estimates

Reference 18

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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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Observation 26775297-02ec-444a-9454-fb9bae11b4d2 · outbound

This paper cites Applying Multi-armed Bandit Algorithms to Computational Advertising.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Applying Multi-armed Bandit Algorithms to Computational Advertising

Reference 19

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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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Observation 1af7f93d-af29-484a-9ba1-1a812eabd781 · outbound

This paper cites Recommendation System-based Upper Confidence Bound for Online Advertising.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Recommendation System-based Upper Confidence Bound for Online Advertising

Reference 20

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

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Observation 83181a1f-3a08-4fc7-9bed-cab1359873b5 · outbound

This paper cites Improvement of the Recommendation System Based on the Multi-Armed Bandit Algorithm.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Improvement of the Recommendation System Based on the Multi-Armed Bandit Algorithm

Reference 21

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

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Observation 5ef01d82-8439-489b-a12e-e593d95fe196 · outbound

This paper cites Applying Multi-Armed Bandit algorithms for music recommendations at Spo- tify.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Applying Multi-Armed Bandit algorithms for music recommendations at Spo- tify

Reference 22

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

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Observation 6a919a87-13c5-48b7-b1b8-f8f3d15b0a34 · outbound

This paper cites An efficient learning framework for multiproduct inventory systems with customer choices.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation An efficient learning framework for multiproduct inventory systems with customer choices

Reference 23

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

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Observation 076ee66e-78a4-444a-a246-0ba00f5e8ee2 · outbound

This paper cites Multi-Armed Bandit Approaches for Lo- cation Planning with Dynamic Relief Supplies Allocation Under Disaster Uncertainty.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Multi-Armed Bandit Approaches for Lo- cation Planning with Dynamic Relief Supplies Allocation Under Disaster Uncertainty

Reference 24

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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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Observation b15319f8-138b-4740-9a7e-fc3047485fec · outbound

This paper cites A Multi-Armed Bandit Problem with the Optimal Arm Depending on a Hidden Markov Model.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation A Multi-Armed Bandit Problem with the Optimal Arm Depending on a Hidden Markov Model

Reference 25

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verified fuzzy
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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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Observation 6bc76f70-b7d9-46cd-bc30-60920aee8c9a · outbound

This paper cites Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback

Reference 26

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verified fuzzy
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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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Observation 7238a275-34ef-4893-b385-f97ae1ab1857 · outbound

This paper cites Classifier ensembles for detecting concept change in streaming data: Overview and perspectives.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Classifier ensembles for detecting concept change in streaming data: Overview and perspectives

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T11:17:28.281890Z

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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Observation 00c498ee-f09e-4c89-99ca-d7141875d23a · outbound

This paper cites The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

Reference 28

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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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Observation d71f053f-56ac-408a-8add-7c55d8f9936c · outbound

This paper cites Language models are few-shot learners.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Language models are few-shot learners

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.981396Z

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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Observation 62bb9227-e886-4abe-b63e-886e1ca6f994 · outbound

This paper cites A comparison of Softmax proposals.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation A comparison of Softmax proposals

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.857724Z

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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Observation be109869-8935-41e4-bcca-d56aab9b9ba0 · outbound

This paper cites Some formulas of variance of uncertain random variable.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Some formulas of variance of uncertain random variable

Reference 31

Resolution
verified fuzzy
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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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Observation 29734b04-abbe-45ef-96f7-f5d14a2d44ca · outbound

This paper cites An Upper Confidence Bound Approach to Estimating the Maximum Mean.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation An Upper Confidence Bound Approach to Estimating the Maximum Mean

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:17:24.199498Z

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.

source=pdf_text observed=2026-08-07T11:17:21.885978Z digest=sha256:da073358de2719ba5d4932a81b6b8886e8051b55507308979dc1cb4de520e63b

Observation 1e327466-10c0-4e46-b102-9bcd6de44784 · outbound

This paper cites Convergence rates in the law of large numbers.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Convergence rates in the law of large numbers

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.475187Z

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.

source=pdf_text observed=2026-08-07T11:17:22.055332Z digest=sha256:e87f8dc702e1f317efeeb7e836f1d7b88753c428ce5f65159e069344dc46a418

Observation a61d29bd-6e18-458a-92d9-1937ec9a794e · outbound

This paper cites The law of large numbers with a continuum of iid random variables.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation The law of large numbers with a continuum of iid random variables

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:27.222058Z

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.

source=pdf_text observed=2026-08-07T11:17:22.179852Z digest=sha256:b15d744dbf9fbddfb5334b4c2005915fd67025d46ec4ea1ed116dcc37f8c61f2

Observation 11ed9649-a36c-4ec2-a920-538f1e97845b · outbound

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

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation A Survey on Practical Applications of Multi-Armed and Contextual Bandits

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:22.297903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:22.297903Z digest=sha256:49f39fe1713bfe1d69e86caff92f266e566f628474326ea606c51290a781e29e

Observation 66bd15b9-b81b-4840-b842-98f1cdc906b6 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization frame- work.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Optuna: A next-generation hyperparameter optimization frame- work

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:26.901884Z

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.

source=pdf_text observed=2026-08-07T11:17:22.420288Z digest=sha256:33dc141284c06bf14ae972bfe9e1f0bea1ea703a82f92e4f95183ddcd6a5bcee

Observation b35d52c4-7ca5-4d21-bbe2-72018d60210f · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter opti- mization.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Hyperband: A novel bandit-based approach to hyperparameter opti- mization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:26.628617Z

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.

source=pdf_text observed=2026-08-07T11:17:22.562641Z digest=sha256:ab1f1cafb1ff123f0821702adba1969766029cd6528f5129b5a4c6783345425d

Observation 582927dd-d6fa-4078-978c-b556aa6d88f6 · outbound

This paper cites Asymptotically optimal multi- armed bandit algorithm and hyperparameter optimization.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Asymptotically optimal multi- armed bandit algorithm and hyperparameter optimization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:26.328326Z

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.

source=pdf_text observed=2026-08-07T11:17:22.672028Z digest=sha256:f9467e9d91fd79638265599638fdabd0e8363398200cfe5f6ed330d9a50d7a0f

Observation cd5519fe-9f30-4c45-86b2-eacdaf90b92b · outbound

This paper cites Non-stochastic best arm identification and hyperparameter op- timization.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Non-stochastic best arm identification and hyperparameter op- timization

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:26.053906Z

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.

source=pdf_text observed=2026-08-07T11:17:22.797761Z digest=sha256:4a5ffcd9fb683843df3a321cfbfa117f8ea41a9282240aef471eec58ee98f4d7

Observation 285a6641-78cd-4f47-94f7-9ec41b506797 · outbound

This paper cites Springer, 2015.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Springer, 2015

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.776531Z

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.

source=pdf_text observed=2026-08-07T11:17:23.023164Z digest=sha256:e078a646965a3bc0e9993a525968d152f75a3078614e727ed08a300479c73659

Observation 92aa1afe-2e37-4229-9a0e-5c0ab0c9a892 · outbound

This paper cites Design and application of Internet of things-based warehouse management system for smart logistics.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Design and application of Internet of things-based warehouse management system for smart logistics

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.663362Z

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.

source=pdf_text observed=2026-08-07T11:17:23.159076Z digest=sha256:55133f81c6a88eafb2730d3419f876c8fd0458d68059c7682e7c9320bb4b26af

Observation 99669404-e905-453f-976a-d9ec9c70d4d6 · outbound

This paper cites Models for Evaluating and Planning City Logistics Systems.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Models for Evaluating and Planning City Logistics Systems

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.477720Z

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.

source=pdf_text observed=2026-08-07T11:17:23.320976Z digest=sha256:5432a0b00da63d90b66315d1b674ebcd19b0f7f28bbc0947c172d293a7c8c811

Observation a0ada87a-3c31-4a23-a1b8-ab2a1895907d · outbound

This paper cites Sutton and Andrew G.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Sutton and Andrew G

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.285572Z

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.

source=pdf_text observed=2026-08-07T11:17:23.487829Z digest=sha256:6bbc9794ddfc3ad784064518fbcedbbdea3bfe6b5065c359f5ab8bf3990254b8

Observation bab541ef-4008-454a-a5d0-3e0f1c0499ca · outbound

This paper cites On the likelihood that one unknown probability exceeds an- other in view of the evidence of two samples.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation On the likelihood that one unknown probability exceeds an- other in view of the evidence of two samples

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.161857Z

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.

source=pdf_text observed=2026-08-07T11:17:23.607375Z digest=sha256:2dd6d5667cf72dff6a056e068596e67ce24ef87e72be3728861d48a9d75f99ea

Observation fa6591dd-7ef2-4790-9e1c-9f4ea606f063 · outbound

This paper cites An empirical evaluation of Thompson sampling.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation An empirical evaluation of Thompson sampling

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:25.035873Z

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.

source=pdf_text observed=2026-08-07T11:17:23.727918Z digest=sha256:1eed6e7bafac84ec36803b36a96a0900eadc695f74e236d28d36b243b3e39f18

Observation fade5f8c-6eca-478e-b115-552b4caf7fa2 · outbound

This paper cites Improved algorithms for linear stochastic bandits.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Improved algorithms for linear stochastic bandits

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.924487Z

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.

source=pdf_text observed=2026-08-07T11:17:23.802072Z digest=sha256:0d675cff2a58ec8f728aaf4e3322949f11400713d4eaf6c716040905edd3e45b

Observation 6388f657-e05d-4062-a176-ad965674d42e · outbound

This paper cites Introduction to Multi-Armed Bandits.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Introduction to Multi-Armed Bandits

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.822581Z

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.

source=pdf_text observed=2026-08-07T11:17:23.889141Z digest=sha256:2ee6dba1243737115cca9a218f3d61f0711df8c218eeafb89f8b78f2afe180c6

Observation 5fde07ff-851a-485a-a895-a0aefa26e1da · outbound

This paper cites Concentration Inequali- ties.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation Concentration Inequali- ties

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.697293Z

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.

source=pdf_text observed=2026-08-07T11:17:23.984801Z digest=sha256:0c7da166e98aeed9f423881eef9849e15581a2cb91f43f88995d529a00356796

Observation 900fa595-f494-4189-8b5f-5e38ef9b9927 · outbound

This paper cites The solution of the problem of integration in finite terms.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation The solution of the problem of integration in finite terms

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.616815Z

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.

source=pdf_text observed=2026-08-07T11:17:24.017791Z digest=sha256:d9e01e032b0594aedc17ec4a59e09e3633912e96e2e2826583f88ff7f7f6720c

Observation 105b4186-69eb-4bba-b0b3-47127a6b66dd · outbound

This paper cites A short and elementary proof of the Basel problem.

From Theory to Practice with RAVEN-UCB: Addressing Non-Stationarity in Multi-Armed Bandits through Variance Adaptation A short and elementary proof of the Basel problem

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.496962Z

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.

source=pdf_text observed=2026-08-07T11:17:24.068528Z digest=sha256:1f701bebd454e3c406c6dfe9c21d5ff30811db0f4cbb154ccccd52ccc4ad43fc

Pith citing papers

No inbound Pith citation observations are available.