Paper Citation Record · LEDGER

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control

As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2509.14431.

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

pith.paper-citation-record.v1
2509.14431 v2

Coverage vector

measured 60 of 60 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

60 of 60 outbound references displayed

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External citation measurements

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Outbound references

Observation 238c2908-c23b-4f7b-9dc3-de323b312ad8 · outbound

This paper cites A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

Reference 1

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This paper cites A comprehensive survey of multiagent reinforcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control A comprehensive survey of multiagent reinforcement learning,

Reference 2

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This paper cites Multi-agent Reinforcement Learning: A Comprehensive Survey.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Multi-agent Reinforcement Learning: A Comprehensive Survey

Reference 3

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This paper cites Multi-agent reinforcement learning: A review of challenges and applications,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Multi-agent reinforcement learning: A review of challenges and applications,

Reference 4

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This paper cites Coach-player multi-agent reinforcement learning for dynamic team composition,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Coach-player multi-agent reinforcement learning for dynamic team composition,

Reference 5

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Observation 6a5616ef-6bf1-478c-9d45-b8ef068d45e9 · outbound

This paper cites Learning Transferable Cooperative Behavior in Multi-Agent Teams.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Learning Transferable Cooperative Behavior in Multi-Agent Teams

Reference 6

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This paper cites A multitask- based transfer framework for cooperative multi-agent reinforcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control A multitask- based transfer framework for cooperative multi-agent reinforcement learning,

Reference 7

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This paper cites Mdp homomorphic networks: Group symmetries in reinforcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Mdp homomorphic networks: Group symmetries in reinforcement learning,

Reference 8

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This paper cites $\mathrm{SO}(2)$-Equivariant Reinforcement Learning.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control $\mathrm{SO}(2)$-Equivariant Reinforcement Learning

Reference 9

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This paper cites A survey of scalable re- inforcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control A survey of scalable re- inforcement learning,

Reference 10

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Observation 22590380-15cd-417c-8a70-c1898ca56638 · outbound

This paper cites Equivariant reinforcement learning under partial observability,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Equivariant reinforcement learning under partial observability,

Reference 11

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Observation 98d5209e-6d33-4520-9617-225115ec0286 · outbound

This paper cites ROMA: Multi-Agent Reinforcement Learning with Emergent Roles.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control ROMA: Multi-Agent Reinforcement Learning with Emergent Roles

Reference 12

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This paper cites Heterogeneous-agent reinforcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Heterogeneous-agent reinforcement learning,

Reference 13

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This paper cites The surprising effectiveness of ppo in cooperative multi-agent games,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 14

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Observation ac77d581-b22b-42f9-8396-c2eaa2f6926e · outbound

This paper cites A comprehensive survey on graph neural networks,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control A comprehensive survey on graph neural networks,

Reference 15

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Observation 474e495e-ad7c-446d-9834-dbdd28eb65d7 · outbound

This paper cites Attending to Graph Transformers.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Attending to Graph Transformers

Reference 16

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Observation f9d00e69-49ec-429f-a2ab-b1d4370c9283 · outbound

This paper cites Markov games as a framework for multi-agent rein- forcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Markov games as a framework for multi-agent rein- forcement learning,

Reference 17

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This paper cites Multi-agent reinforcement learning: Independent vs. cooper- ative agents,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Multi-agent reinforcement learning: Independent vs. cooper- ative agents,

Reference 18

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This paper cites Deep decentralized multi-task multi-agent reinforcement learning under par- tial observability,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Deep decentralized multi-task multi-agent reinforcement learning under par- tial observability,

Reference 19

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Unresolved cited work

Reference 20

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This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 21

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This paper cites Monotonic value function factorisation for deep multi- agent reinforcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 22

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This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Multi-agent actor-critic for mixed cooperative-competitive environments,

Reference 23

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Transfer learning in multi-agent reinforcement learning domains,

Reference 24

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Graph convolutional neural networks for web-scale recommender systems,

Reference 25

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Observation a38f3d42-3257-42d2-8c93-162c68d25491 · outbound

This paper cites Molecular contrastive learning of representations via graph neural networks,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Molecular contrastive learning of representations via graph neural networks,

Reference 26

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This paper cites Prediction of protein–protein interac- tion using graph neural networks,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Prediction of protein–protein interac- tion using graph neural networks,

Reference 27

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This paper cites Deeprank-gnn: a graph neural network framework to learn patterns in protein–protein interfaces,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Deeprank-gnn: a graph neural network framework to learn patterns in protein–protein interfaces,

Reference 28

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Observation 87af17af-c274-482a-826d-b58eab8a0f48 · outbound

This paper cites Behavior-Inspired Neural Networks for Relational Inference.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Behavior-Inspired Neural Networks for Relational Inference

Reference 29

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Resolving Oversmoothing with Opinion Dissensus

Reference 30

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This paper cites Qmix-gnn: A graph neural network- based heterogeneous multi-agent reinforcement learning model for im- proved collaboration and decision-making,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Qmix-gnn: A graph neural network- based heterogeneous multi-agent reinforcement learning model for im- proved collaboration and decision-making,

Reference 31

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This paper cites Graph neural network-based multi-agent reinforcement learning for resilient distributed coordination of multi-robot systems,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Graph neural network-based multi-agent reinforcement learning for resilient distributed coordination of multi-robot systems,

Reference 32

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Graph Convolutional Reinforcement Learning

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Multi-agent graph- attention communication and teaming

Reference 34

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains,

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Learning Color Equivariant Representations

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control GAGrasp: Geometric Algebra Diffusion for Dexterous Grasping

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This paper cites ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

Reference 39

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks,

Reference 40

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Observation 0ada074f-8a94-4b88-9db9-2947d1bfaa2c · outbound

This paper cites Se (3)-equivariant robot learning and con- trol: A tutorial survey,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Se (3)-equivariant robot learning and con- trol: A tutorial survey,

Reference 41

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL

Reference 42

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Group equivariant convolutional networks,

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Spherical CNNs

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Steerable CNNs

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Learning so (3) equivariant representations with spherical cnns,

Reference 46

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Equivariant multi-view networks,

Reference 47

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Sensing flow gradients is necessary for learning autonomous underwater navigation,

Reference 48

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Do transformers really perform badly for graph representation?

Reference 49

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

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Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Boost- ing sample efficiency and generalization in multi-agent reinforcement learning via equivariance,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:55:16.774344Z

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Semi-Supervised Classification with Graph Convolutional Networks

Reference 52

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This paper cites Graph Attention Networks.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Graph Attention Networks

Reference 53

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This paper cites Attention is all you need,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Attention is all you need,

Reference 54

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This paper cites Emergence of Grounded Compositional Language in Multi-Agent Populations.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 55

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This paper cites Pettingzoo: Gym for multi-agent reinforcement learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Pettingzoo: Gym for multi-agent reinforcement learning,

Reference 56

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This paper cites Curriculum learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Curriculum learning,

Reference 57

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This paper cites Teacher–student curriculum learning,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Teacher–student curriculum learning,

Reference 58

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This paper cites An introduction to the kalman filter,.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control An introduction to the kalman filter,

Reference 59

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This paper cites Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing

Reference 60

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Pith citing papers

Observation 3a854840-a2d4-447b-9c3f-1d0fa03063f7 · inbound

CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control cites this paper.

CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control

Reference 5

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