Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bandits with Mean Bounds
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.08405.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:45.030475Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:19:46.533409Z
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 a8ff08e0-427c-4653-badf-3a183543f956 · inbound
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine cites this paper.
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine Bandits with Mean Bounds
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:54:45.030475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce2bea9f-586e-443c-ac30-d1b65fea1109 · inbound
Decentralized Relaxed Smooth Optimization with Gradient Descent Methods cites this paper.
Decentralized Relaxed Smooth Optimization with Gradient Descent Methods Bandits with Mean Bounds
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:34:30.062073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee6167e8-c69a-4d9f-9235-f46b08d1e28d · inbound
Using causal abstractions to accelerate decision-making in complex bandit problems cites this paper.
Using causal abstractions to accelerate decision-making in complex bandit problems Bandits with Mean Bounds
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:19:46.537845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.