Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Inference with the Upper Confidence Bound Algorithm
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.04595.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:56.211946Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:49:44.292746Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation eecaaf91-f34e-4d94-943a-61cdc6e50972 · inbound
Simulation-Based Inference for Adaptive Experiments cites this paper.
Simulation-Based Inference for Adaptive Experiments Inference with the Upper Confidence Bound Algorithm
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:23:56.211946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4604c88a-f42c-44dd-9070-3c51aa5ceef3 · inbound
Asymptotic Theory and Sequential Testing for Adaptive Bandits cites this paper.
Asymptotic Theory and Sequential Testing for Adaptive Bandits Inference with the Upper Confidence Bound Algorithm
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:49:22.226538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e5ba997-a62e-428c-b28d-e3e8976aab0c · inbound
Stabilizing Bandits using Regularization: Precise Regret and A Quantitative Central Limit Theorem cites this paper.
Stabilizing Bandits using Regularization: Precise Regret and A Quantitative Central Limit Theorem Inference with the Upper Confidence Bound Algorithm
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T23:50:03.797434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6988bd17-7f75-474a-a192-e8571ce0a1fe · inbound
Bandit Simulation for Average Reward Inference cites this paper.
Bandit Simulation for Average Reward Inference Inference with the Upper Confidence Bound Algorithm
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T17:52:27.342733Z
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 b918d781-1df5-432a-8edf-1db0d3feaf38 · inbound
Statistical Inference for Misspecified Contextual Bandits cites this paper.
Statistical Inference for Misspecified Contextual Bandits Inference with the Upper Confidence Bound Algorithm
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:49:44.295266Z
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.