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Paper Citation Record · LEDGER

Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning

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.

pith.paper-citation-record.v1
2307.05004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:43.054719Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 099ae7e8-7fd0-406e-9481-24ee26a3f4df · inbound

Generative Emergent Communication: Large Language Model is a Collective World Model cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:01:43.054719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:01:43.054719Z digest=sha256:c1aa6c5428c320a6700c20d47c6154541b3c333df1baffce4c2e142409c30316

Observation 00c5bdd0-66d3-402d-ad32-9c1970e124db · inbound

Decentralized Collective World Model for Emergent Communication and Coordination cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:10.021684Z

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.

source=pdf_text observed=2026-05-22T21:37:29.644513Z digest=sha256:47e18aca8b6b46d042d91fc3f4b004edcc5245a61c99c3a57d56025d9be1a284

Observation 3a450943-f5de-4e89-b840-c5faef348f5f · inbound

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:22.871300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:22.871300Z digest=sha256:be552f10955b34668cad9bba9ba9855b523e581633a64d34c044489971a84524