Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.02783.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:53:59.133265Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T01:55:13.363253Z
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 7c9d5031-75c4-4b98-a5c8-cfdfd6ac3f6c · inbound
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning cites this paper.
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T01:55:13.366116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b066946-f98d-4d66-a9b6-2792aa229e71 · inbound
Online Planning for Decentralized Stochastic Control with Partial History Sharing cites this paper.
Online Planning for Decentralized Stochastic Control with Partial History Sharing Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:53:59.133265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.