Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.15836.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:54:46.700529Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:20:32.660906Z
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 3619422c-ab29-41c6-8339-91530a5513f0 · inbound
Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G cites this paper.
Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Reference 205
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:54:46.700529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60746027-81d9-4eb2-a7d1-62ecc94c5fc5 · inbound
Pre-Trained Video Generative Models as World Simulators cites this paper.
Pre-Trained Video Generative Models as World Simulators Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:14:22.473732Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f130c18-80c5-4cd6-9397-eb6338f72955 · inbound
Hume: Introducing System-2 Thinking in Visual-Language-Action Model cites this paper.
Hume: Introducing System-2 Thinking in Visual-Language-Action Model Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:47.253710Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78fe9301-a32b-410b-85db-9b54424ff29b · inbound
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning cites this paper.
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:20:32.702325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6acecaf-73b3-4049-a24b-73f1c59441fa · inbound
DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets cites this paper.
DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:28:02.814340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.