Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.17226.
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 2026-08-07T15:37:02.148669Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:46:29.408944Z
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 a97f3957-348d-4671-84db-5b72c7c52797 · 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 Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:37:02.148669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53c011f9-07ed-4843-baeb-28990310a5df · inbound
Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems cites this paper.
Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:33:32.491006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81d9eb9e-0d09-4592-bef4-b07e70811870 · inbound
From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments cites this paper.
From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:46:29.411218Z
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.