Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.05004.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:43.054719Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 099ae7e8-7fd0-406e-9481-24ee26a3f4df · inbound
Generative Emergent Communication: Large Language Model is a Collective World Model Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning
Reference 88
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00c5bdd0-66d3-402d-ad32-9c1970e124db · inbound
Decentralized Collective World Model for Emergent Communication and Coordination Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3a450943-f5de-4e89-b840-c5faef348f5f · inbound
Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.