Paper Citation Record · LEDGER

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits

As of 11 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.20051.

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

pith.paper-citation-record.v1
2505.20051 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:20.811056Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

31 of 31 outbound references displayed

verified exact1
verified fuzzy27
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 075922dd-9759-4151-b310-a0f27139c7b6 · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Improved algorithms for linear stochastic bandits

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:26.195913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b57dbaf-29ad-4aae-89d8-bd2760591d10 · outbound

This paper cites Adaptively tracking the best bandit arm with an unknown number of distribution changes.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Adaptively tracking the best bandit arm with an unknown number of distribution changes

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.940982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09eaba48-0a2e-48bc-9839-56a5f3a41778 · outbound

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

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Stochastic multi-armed-bandit problem with non-stationary rewards

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:17.610321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0b8c38-5931-46a9-a4ac-2bf2288105a3 · outbound

This paper cites Efficient change-point detection for tackling piecewise-stationary bandits.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Efficient change-point detection for tackling piecewise-stationary bandits

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.637544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88393021-b81a-4976-aec9-f6301e3e47f2 · outbound

This paper cites Piecewise stationary bandits under risk criteria.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Piecewise stationary bandits under risk criteria

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.409837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd74c557-8630-46e2-8ff2-d38f0fdc9932 · outbound

This paper cites Catoni-style Confidence Sequences under Infinite Variance.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Catoni-style Confidence Sequences under Infinite Variance

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:15:21.144379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5208f6b5-bef7-41ee-bcb0-01c1482716d7 · outbound

This paper cites Bandits with heavy tail.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Bandits with heavy tail

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.248212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 12f166d3-7505-49f5-b81f-ebc6ad658a80 · outbound

This paper cites Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.039313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a1bbb0b-a068-4f57-b7f0-addace09cabc · outbound

This paper cites Challenging the empirical mean and empirical variance: a deviation study.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Challenging the empirical mean and empirical variance: a deviation study

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.878725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38d445ca-d4f7-4229-84a6-3029bcf52091 · outbound

This paper cites Explore first, exploit next: The true shape of regret in bandit problems.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Explore first, exploit next: The true shape of regret in bandit problems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.681659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc9612f3-ad28-4dfa-8f61-2054f40b2362 · outbound

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

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits On upper-confidence bound policies for switching bandit problems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.541355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 99b8165e-c34b-4714-8773-6bce6dc2504f · outbound

This paper cites (ϵ, u)-adaptive regret minimization in heavy-tailed bandits.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits (ϵ, u)-adaptive regret minimization in heavy-tailed bandits

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.379032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 96e1f63d-3fdb-461a-8fe3-f7e3343770e0 · outbound

This paper cites Graph-triggered rising bandits.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Graph-triggered rising bandits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.170840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f0599c6-d91a-41db-afc2-553fb2d51fd6 · outbound

This paper cites Change point detection and meta-bandits for online learning in dynamic environments.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Change point detection and meta-bandits for online learning in dynamic environments

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.993134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c1af8f53-b116-419a-9453-c6a416bc5a6c · outbound

This paper cites Tight policy regret bounds for improving and decaying bandits.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Tight policy regret bounds for improving and decaying bandits

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.814409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c5f262e-6331-4cbc-9bef-e11f04cac596 · outbound

This paper cites Time-uniform, nonparametric, nonasymptotic confidence sequences.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Time-uniform, nonparametric, nonasymptotic confidence sequences

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.636066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a3e7826-79ad-4bac-a7c6-3b2ff7a00758 · outbound

This paper cites Discounted ucb.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Discounted ucb

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.429623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7399bdc6-9a60-4e97-a3b5-d79e49592885 · outbound

This paper cites Bandit algorithms.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Bandit algorithms

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.213911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3bdb0fc5-5354-41a3-b02c-2253a5f84534 · outbound

This paper cites Minimax optimal bandits for heavy tail rewards.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Minimax optimal bandits for heavy tail rewards

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.019894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7afefe68-30d1-40ad-afc9-c8cb914ac688 · outbound

This paper cites A change-detection based framework for piecewise- stationary multi-armed bandit problem.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits A change-detection based framework for piecewise- stationary multi-armed bandit problem

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.868873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba068b39-076a-4fd1-baac-92ec1fc55d36 · outbound

This paper cites Procedures for reacting to a change in distribution.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Procedures for reacting to a change in distribution

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.777986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f7fb24c-c5f0-427c-a535-d7c7483ac97c · outbound

This paper cites Stochastic rising bandits.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Stochastic rising bandits

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.618959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8dcd2cc-7e35-469d-a58a-7b8a2bd07ea4 · outbound

This paper cites Model selection test for the heavy-tailed distributions under censored samples with application in financial data.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Model selection test for the heavy-tailed distributions under censored samples with application in financial data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.432668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e80b9f6-4c4e-406b-a364-d65a75d5fddf · outbound

This paper cites Rotting bandits are no harder than stochastic ones.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Rotting bandits are no harder than stochastic ones

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.222266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c49507b-9251-46db-b9c1-a434e39a7404 · outbound

This paper cites A single algorithm for both restless and rested rotting bandits.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits A single algorithm for both restless and rested rotting bandits

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.992706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea3fa331-7b83-48bc-bbb4-9f2bce7627a6 · outbound

This paper cites Reducing sequential change detection to sequential estimation.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Reducing sequential change detection to sequential estimation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:20.092689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ccac858-2969-47b4-be56-78509a7b15fa · outbound

This paper cites Sequential changepoint detection via backward confidence sequences.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Sequential changepoint detection via backward confidence sequences

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.836510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e068085e-1c9c-4944-977a-8951c601c226 · outbound

This paper cites Catoni-style confidence sequences for heavy-tailed mean estimation.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Catoni-style confidence sequences for heavy-tailed mean estimation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.688463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1879073b-d6d7-4eae-a948-92a48f1f7b55 · outbound

This paper cites Piecewise-stationary bandit problems with side observations.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Piecewise-stationary bandit problems with side observations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.551308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c5aad673-46c5-448d-8088-55aada762f62 · outbound

This paper cites N (j) i |Ej| # − 1 K KX i=1 E(i∗ −j ,0).

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits N (j) i |Ej| # − 1 K KX i=1 E(i∗ −j ,0)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.447506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18609b24-cb40-4bb5-a643-23cb2c52d984 · outbound

This paper cites Then, there exists a predictable sequence {λi}T i=1 s.t.

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits Then, there exists a predictable sequence {λi}T i=1 s.t

Reference 31

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:15:21.349114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.