Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:22:38.733737Z
Paper Citation Record · LEDGER
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets
As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.07636.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact1
- verified fuzzy15
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6aa3f7d5-af04-42b9-9349-e534a40de743 · outbound
This paper cites Online bandit learning against an adaptive adversary: From regret to policy regret.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Online bandit learning against an adaptive adversary: From regret to policy regret
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.554484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation de10e6c6-3f9a-4364-a1a7-1f0d487b3c29 · outbound
This paper cites Adaptively tracking the best bandit arm with an unknown number of distribution changes.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Adaptively tracking the best bandit arm with an unknown number of distribution changes
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.539948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f7f3979-8ae5-4378-9929-b94afb71c8dd · outbound
This paper cites Data-driven confidence bands for distributed nonpara- metric regression.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Data-driven confidence bands for distributed nonpara- metric regression
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.525223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0b16d224-4ccd-44f3-8569-5271dcd9f6bb · outbound
This paper cites Kleinberg.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Kleinberg
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.619142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d57f332-a0b5-447e-853d-0fb4d06735be · outbound
This paper cites The financing of innovation : learning and stopping.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets The financing of innovation : learning and stopping
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.510915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7935e832-b166-47be-a12e-961bb66408b4 · outbound
This paper cites Learning and strategic pricing.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Learning and strategic pricing
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.496196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8eaad656-1b54-460a-845a-98e087327558 · outbound
This paper cites Stochastic multi- armed-bandit problem with non-stationary rewards.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Stochastic multi- armed-bandit problem with non-stationary rewards
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.481368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3708f18c-cd17-4169-9092-958a5d3b4a56 · outbound
This paper cites X- armed bandits.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets X- armed bandits
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.466487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e7a7458-0918-4c62-bef4-6cad8d4f5bae · outbound
This paper cites Gittens and Michael Dempster.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Gittens and Michael Dempster
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.650281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0573259c-6446-453b-bbb1-85d5f8c8b7ae · outbound
This paper cites Gaussian process optimization with adaptive sketch- ing: Scalable and no regret.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Gaussian process optimization with adaptive sketch- ing: Scalable and no regret
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.451348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e44727c-966d-4607-9cb6-5d0a07883bcd · outbound
This paper cites Nearly optimal adaptive procedure with change detection for piecewise-stationary ban- dit.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Nearly optimal adaptive procedure with change detection for piecewise-stationary ban- dit
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.436572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 65e5d115-4519-45f9-a57b-18ca00f67c54 · outbound
This paper cites On kernelized multi-armed bandits.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets On kernelized multi-armed bandits
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.406240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f61fdd9-a998-4db5-a700-b577467f072b · outbound
This paper cites High-Dimensional Gaussian Process Bandits.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets High-Dimensional Gaussian Process Bandits
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.390344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4fef8eb-dece-4b93-bb72-c0e4a5cddf06 · outbound
This paper cites an unresolved cited work.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:22:39.373327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e0d71236-edc6-46a0-b81b-0fff9c302f5f · outbound
This paper cites an unresolved cited work.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Unresolved cited work
Reference 15
- Resolution
- verified exact
- raw_fallback, observed 2026-08-14T12:22:39.164461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbb56eca-4853-416d-835c-487a37be62a5 · outbound
This paper cites PyMatting: A Python Library for Alpha Matting.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets PyMatting: A Python Library for Alpha Matting
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.689955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2f4669c-90af-434c-81d1-e619416ee696 · outbound
This paper cites Gaussian Processes for Machine Learning.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Gaussian Processes for Machine Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.694927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3a16b8c-c4b9-4a50-8bf7-68db95853da2 · outbound
This paper cites Lower bounds on regret for noisy Gaussian process bandit optimization.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Lower bounds on regret for noisy Gaussian process bandit optimization
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.357708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd07f8c9-d540-495e-b0ea-8b8dee2f1d13 · outbound
This paper cites Gaussian process optimization in the bandit setting: No regret and ex- perimental design.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Gaussian process optimization in the bandit setting: No regret and ex- perimental design
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.341694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f7335104-9e48-4fe3-a4ef-d6b8065cb12f · outbound
This paper cites an unresolved cited work.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:22:39.325580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cadd812e-2ad7-4a2b-a045-f7c8487620b1 · outbound
This paper cites an unresolved cited work.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Unresolved cited work
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.719487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1429fa88-62ec-4240-bdae-944a199ce0c2 · outbound
This paper cites Bayesian model selection consistency and oracle inequality with intractable marginal likelihood.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Bayesian model selection consistency and oracle inequality with intractable marginal likelihood
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.724310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0427c37f-e9ab-493f-951e-fc78075a11eb · outbound
This paper cites Linear submodular bandits and their ap- plication to diversified retrieval.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Linear submodular bandits and their ap- plication to diversified retrieval
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.307573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f316c484-a280-495e-b13b-dc2dc703890b · outbound
This paper cites an unresolved cited work.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.733737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1941485f-7fe8-46f8-a42b-60ab4fa553d8 · outbound
This paper cites URL http://proceedings.mlr.press/v89/ cao19a.html.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets URL http://proceedings.mlr.press/v89/ cao19a.html
Reference 427
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:39.420850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f289015-5bec-4797-9e26-277cc16cb150 · outbound
This paper cites URL https://doi.org/10.1214/ aop/1176994469.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets URL https://doi.org/10.1214/ aop/1176994469
Reference 1981
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.714670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9acedf8d-0b13-4240-bdec-ccda1d16bcf3 · outbound
This paper cites an unresolved cited work.
How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets Unresolved cited work
Reference 4435
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:38.645294Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.