Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinforcement Learning in Practice: Opportunities and Challenges
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.11296.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:29.875111Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T05:43:07.723903Z
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 dab833f4-1893-43a0-bd87-aa48edd9f74c · inbound
Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control cites this paper.
Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control Reinforcement Learning in Practice: Opportunities and Challenges
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:53:29.875111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b355b73d-63e8-4a29-9e48-b4e793485e8c · inbound
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? cites this paper.
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? Reinforcement Learning in Practice: Opportunities and Challenges
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:42:49.596817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6e3c8014-a904-4a66-b833-9ff3e3562fd0 · inbound
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? cites this paper.
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks? Reinforcement Learning in Practice: Opportunities and Challenges
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T05:43:07.728235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e0447f7e-29c4-4003-94ab-7d4c1c2fadd3 · inbound
SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation cites this paper.
SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation Reinforcement Learning in Practice: Opportunities and Challenges
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T01:15:01.090791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.