Paper Citation Record · LEDGER

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.03939.

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

pith.paper-citation-record.v1
2002.03939 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:54:06.556573Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:06.950353Z

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 6b275445-775f-4696-8925-8a90c405438f · inbound

Double Distillation Network for Multi-Agent Reinforcement Learning cites this paper.

Double Distillation Network for Multi-Agent Reinforcement Learning Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T05:54:06.556573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc3942c-aaf4-42c8-af05-541c2d1dae88 · inbound

ToMacVF : Temporal Macro-action Value Factorization for Asynchronous Multi-Agent Reinforcement Learning cites this paper.

ToMacVF : Temporal Macro-action Value Factorization for Asynchronous Multi-Agent Reinforcement Learning Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:31.962434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de340fb-47e0-4360-811f-9b324b76bf0c · inbound

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach cites this paper.

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:11.485055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70969c90-fe66-46ed-8a6b-246adee356dd · inbound

Randomness is sometimes necessary for coordination cites this paper.

Randomness is sometimes necessary for coordination Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:50:57.883416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea921d43-0e27-4272-b7ad-b461a38eb287 · inbound

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria cites this paper.

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:47:50.448662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 10161c38-a88a-4d8b-8684-4130cec27ffb · inbound

Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods cites this paper.

Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:06.951872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.