Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Option-Critic in Cooperative Multi-agent Systems
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.12825.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:48:21.729260Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 0fea0433-c780-4c95-9865-f9908bac73d3 · inbound
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems cites this paper.
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems Option-Critic in Cooperative Multi-agent Systems
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:02:18.679710Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ace7e457-b740-4229-ad17-70fa26697fdd · inbound
Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning cites this paper.
Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning Option-Critic in Cooperative Multi-agent Systems
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:48:21.729260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21b0975d-b794-49b2-99bd-acc42103925d · inbound
Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.
Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Option-Critic in Cooperative Multi-agent Systems
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T22:15:06.198065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.