Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Near-optimal Policy Identification in Active Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.09510.
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 2026-06-30T11:49:35.327709Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T11:54:38.404288Z
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 d1a59aeb-53ec-4b2b-883e-5e93ee7abd7b · inbound
Active Learning for Stochastic Contextual Linear Bandits cites this paper.
Active Learning for Stochastic Contextual Linear Bandits Near-optimal Policy Identification in Active Reinforcement Learning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:54:38.405912Z
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.