Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.17352.
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 2026-08-07T12:09:11.648515Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T04:12:59.589118Z
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 d7e21359-9f50-4aa0-a801-56994194dd44 · inbound
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning cites this paper.
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:09:11.648515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a79d64de-2bbd-4eb4-862d-c0679de59728 · inbound
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading cites this paper.
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:12:59.592709Z
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 5eecdd74-20fa-4c11-ad44-37e33b8222fc · inbound
Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning cites this paper.
Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:40:38.891281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.