Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-agent Reinforcement Learning for Networked System Control
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2004.01339.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:13.071784Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:09:13.733603Z
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 770ba9b0-04db-4ea9-960a-d0f43d179fc6 · inbound
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning cites this paper.
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Multi-agent Reinforcement Learning for Networked System Control
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:09:13.790402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ff360be4-3fe0-43b1-a6e6-7082e426bde6 · inbound
Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces cites this paper.
Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces Multi-agent Reinforcement Learning for Networked System Control
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:07:44.900715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd2fb791-01ea-4a66-9f79-13cf64ff8477 · inbound
Towards General Language-Conditioned Latent Safety Filters cites this paper.
Towards General Language-Conditioned Latent Safety Filters Multi-agent Reinforcement Learning for Networked System Control
Reference 161
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:49:34.445469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.