Paper Citation Record · LEDGER

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.02288.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1912.02288 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:57:36.551510Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:21:09.933344Z

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 a5f9e8dc-2e8e-404d-b938-228b8dd6ea64 · inbound

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design cites this paper.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.671834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a53ee13-6b9f-48ac-b2cd-04c106a9307d · inbound

In Pursuit of Predictive Models of Human Preferences Toward AI Teammates cites this paper.

In Pursuit of Predictive Models of Human Preferences Toward AI Teammates Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T19:57:36.551510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e734cbf3-4a1c-4047-b358-595cf6d9fffb · inbound

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation cites this paper.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.894173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646ca215-df38-4b49-9e1a-a87871fe86a1 · inbound

Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies cites this paper.

Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:09.941068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.