Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.06132.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T18:19:02.314185Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:09:30.521560Z
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 778a3d1a-1d8e-44c0-bade-324633c8f74e · inbound
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning cites this paper.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:09:30.523310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.