Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.13465.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:06:20.429874Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T12:06:20.758525Z
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 0ece84ef-eaf1-49ed-bb16-12d98a199311 · inbound
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards cites this paper.
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T12:06:20.763222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d9beab0e-b81b-4658-8cf8-cec3f49ee13f · inbound
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set cites this paper.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.761525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.