Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.06450.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:01.988572Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:11:03.565796Z
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 255b7f55-7f02-4aca-8a34-25c15c2acc10 · inbound
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation cites this paper.
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:37:01.988572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38280bb2-4161-4e04-9b1a-5aaefd842a09 · inbound
A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense cites this paper.
A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:11:03.572347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.