Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey and Critique of Multiagent Deep Reinforcement Learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.05587.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:54:44.049340Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:30:06.960997Z
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 755b340c-cea3-4314-a2f4-8f5ee45edd33 · inbound
On Multi-Agent Learning in Team Sports Games cites this paper.
On Multi-Agent Learning in Team Sports Games A Survey and Critique of Multiagent Deep Reinforcement Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T15:56:01.144517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 129480d0-e810-4143-adda-f77976f36055 · inbound
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning cites this paper.
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning A Survey and Critique of Multiagent Deep Reinforcement Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:54:44.049340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b37c3a59-fe60-4b66-a441-3bc734508b68 · inbound
Effective Reward Specification in Deep Reinforcement Learning cites this paper.
Effective Reward Specification in Deep Reinforcement Learning A Survey and Critique of Multiagent Deep Reinforcement Learning
Reference 128
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:09:54.250875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2034bc02-3eb1-41b6-9bbd-257144e90cd9 · inbound
Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods cites this paper.
Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods A Survey and Critique of Multiagent Deep Reinforcement Learning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T19:30:06.962489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 299cbb76-a9da-4fa8-be74-31bd5556610c · inbound
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details A Survey and Critique of Multiagent Deep Reinforcement Learning
Reference 240
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:25:40.447981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.