Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.13592.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:54:31.942277Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:50:58.041845Z
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 f2c289ca-40b9-47e6-a0ca-5aa02ad31548 · inbound
Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control cites this paper.
Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:54:31.942277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26bc6c26-c498-46ee-a768-be7d976555bd · inbound
Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review cites this paper.
Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
Reference 140
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:42:58.946733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c331d198-b08a-4f30-bb07-dd8ac2c080a8 · inbound
Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning cites this paper.
Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:50:58.044297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.