Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Multi-agent Reinforcement Learning by Planning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.11778.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T18:23:05.671582Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:51:42.901845Z
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 c47ef75b-c920-4acd-a533-f60d55c811e3 · inbound
Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks cites this paper.
Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks Efficient Multi-agent Reinforcement Learning by Planning
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:23:05.671582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e674f8-ae03-4629-b107-98b46ec008ec · inbound
Ego-centric Learning of Communicative World Models for Autonomous Driving cites this paper.
Ego-centric Learning of Communicative World Models for Autonomous Driving Efficient Multi-agent Reinforcement Learning by Planning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:42.351828Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 821ed9ee-38ea-40b9-9624-bc946f279322 · inbound
NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search cites this paper.
NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search Efficient Multi-agent Reinforcement Learning by Planning
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:51:42.908349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.