Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1912.02288.
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 2026-08-08T18:17:14.671834Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:21:09.933344Z
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 a5f9e8dc-2e8e-404d-b938-228b8dd6ea64 · inbound
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design cites this paper.
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:17:14.671834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e734cbf3-4a1c-4047-b358-595cf6d9fffb · inbound
Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation cites this paper.
Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:57:25.894173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 646ca215-df38-4b49-9e1a-a87871fe86a1 · inbound
Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies cites this paper.
Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:21:09.941068Z
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.