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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 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:42:44.334821Z

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 0384995f-5e91-4b04-acfb-b41d50358b2b · inbound

Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer cites this paper.

Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 31

Resolution
malformed identifier
no resolver link, observed 2026-08-09T13:42:44.334821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:42:44.334821Z digest=sha256:f9a575d27ac865dd0a5cdc546ca7db96b30f3eaa01e6236ab92a220bdb3d6238

Observation 26dedabd-f6e9-4de1-8803-63ee930b9024 · inbound

Heterogeneous Value Decomposition Policy Fusion for Multi-Agent Cooperation cites this paper.

Heterogeneous Value Decomposition Policy Fusion for Multi-Agent Cooperation Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T10:52:39.207654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:52:39.207654Z digest=sha256:4cffa303d9999d29f2462ea0323d7f3c7c91975888a8505237519d6dffec7306

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.

source=pdf_text observed=2026-08-09T05:54:06.556573Z digest=sha256:0c4e4d8dd8d677c0381a510cd2e40d0961f5563df257bfb11d157d5c6de70c95

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.

source=pdf_text observed=2026-08-06T17:42:31.962434Z digest=sha256:97c12b68890dab26a71ceb1d00e2a2b4a308a3b53a62b8adf70c63738328011a

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.

source=arxiv_source observed=2026-08-06T14:37:11.485055Z digest=sha256:485059d9f6d48b1a5969e589f61554adc7a31a60d350e6aee57aafdbfd34486b

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.

source=arxiv_source observed=2026-05-11T01:01:38.215613Z digest=sha256:b4ecba9068b56dab0df053d232d0d91abba307256cf5dff43f831f38803262cd

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.

source=arxiv_source observed=2026-06-27T10:42:17.852996Z digest=sha256:ff685c4f8d9081d0b1c88ddfbb47ea657f8e2c56032c950fef733caa34183ee9

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.

source=pdf_text observed=2026-06-25T21:21:37.477077Z digest=sha256:250bb42c053bd748b8cb560879d0f9787ce7514e5389b66650089e97f90e1e51