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Paper Citation Record · LEDGER

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

As of 16 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:16.505120Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T20:44:11.206380Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:03:58.927008Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved36
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

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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Observation 2027b7af-3f5a-48e1-83d5-3a18dcc44bfa · outbound

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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Observation 74d06281-526d-426e-b831-5b9113213324 · outbound

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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Observation 17e87db0-46a6-40fa-984a-7223c76a49de · outbound

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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Source-reported events for the cited work

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Observation 02e7054e-7f78-47ac-a880-5c750d080ce2 · outbound

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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Observation a526216f-fb24-4195-9ef4-467ddd0575ae · outbound

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e01ce536-7d21-4157-8767-a1bfa4081581 · outbound

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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Observation 0c077ab3-371a-4a59-9d12-05325d456fc2 · outbound

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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Observation 82488764-a8c3-4a01-a17e-026704104561 · outbound

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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Observation e14d38ef-d923-418d-b3ff-ff0a175f8e4f · outbound

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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Observation 0ea76bfe-20b3-4e6d-b469-468b7f9e2cc6 · outbound

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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Observation 0c3b6427-8ed9-4c52-8724-2c7fa9fdc9d4 · outbound

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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Observation 3fedb593-adcc-4997-bef3-2a967b696977 · outbound

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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Source-reported events for the cited work

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Observation 1be68fee-1b62-4979-a500-99f20bf1695f · outbound

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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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Observation 0aeadd67-b321-4643-8129-1cf604a21f30 · outbound

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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Observation 8d4b751b-be76-4b7f-add5-b4730ebbe13a · outbound

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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Observation f30ef178-7e23-45ca-926d-64bae4147221 · outbound

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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Observation fc4027ae-ddcf-4a66-9ff5-1f296cd86e0e · outbound

This paper cites Transfer learning in multi-agent reinforcement learning domains,.

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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Observation 31fdcecc-709f-4843-88db-68f012ddf1cc · outbound

This paper cites Graph convolutional neural networks for web-scale recommender systems,.

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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Observation 8ab55dbd-134d-4d3d-9618-609d3d37fde6 · outbound

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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Source-reported events for the cited work

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Observation 300b74fd-af12-42fe-986a-3220409f6bb9 · outbound

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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Source-reported events for the cited work

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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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Observation 7a92e378-0c1e-445e-a0bb-023ac29c55fc · outbound

This paper cites Resolving Oversmoothing with Opinion Dissensus.

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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Observation 5e6ab510-233a-4fbf-ab45-982f36365fa1 · outbound

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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Observation 7b1a011f-c77f-4018-90ff-0ab0581ec6c1 · outbound

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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Observation 8f38ef46-b623-4e35-b807-845c904a3260 · outbound

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

Reference 33

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Observation 216278b6-5439-4c60-84c7-199dca765a72 · outbound

This paper cites Multi-agent graph- attention communication and teaming.

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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Observation 9e8b92dd-d900-4072-9290-d6b90394974b · outbound

This paper cites Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains,.

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,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 673d3bc0-b19c-44dc-a9b7-dfbc20e90b00 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

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

Reference 36

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source=pdf_text observed=2026-08-15T15:55:16.408224Z digest=sha256:26aad8688d84091b84035d298736a0adb2b812f810a13320c41130d5410f9bb9

Observation 1c5f2a55-8897-4ef7-b23e-ced29e1cf56d · outbound

This paper cites Learning Color Equivariant Representations.

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

Reference 37

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local_arxiv, observed 2026-08-15T15:55:16.636356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:55:16.411809Z digest=sha256:8c945b7fd39db8c5319c6f65bb284d72a178880bdf7e50fed904c0702fc61175

Observation d84f610a-23ca-469f-8e6c-741427c5f48d · outbound

This paper cites GAGrasp: Geometric Algebra Diffusion for Dexterous Grasping.

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

Reference 38

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Observation ca39b313-e6f9-4691-91d6-b3332ece0fbd · outbound

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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source=pdf_text observed=2026-08-15T15:55:16.419525Z digest=sha256:1c1964b25a6ec53864a067e704f635ba955a7c8955b2c5502e3bc6757aff31a7

Observation 384b80ef-5a04-40ee-9b59-01f6640c0c84 · outbound

This paper cites Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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raw_fallback, observed 2026-08-15T15:55:16.826060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 18987b13-0f9b-4b39-900e-c516d2c08abf · outbound

This paper cites PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T15:55:16.430666Z digest=sha256:ef051eb6c2c5d4a1903e182080ebefa7066e3dd8a63b909cc3bdcb63cf2dcba9

Observation 722f6297-ab27-41c7-ad37-5b3fe1fd2c30 · outbound

This paper cites Group equivariant convolutional networks,.

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

Reference 43

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source=pdf_text observed=2026-08-15T15:55:16.435437Z digest=sha256:1357c37a2f9bb210a825636dcc7589be86936d13f58e54a993e810084951f1d5

Observation 1b0d26ef-a8b1-45e1-9812-f1b20f10d65a · outbound

This paper cites Spherical CNNs.

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

Reference 44

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source=pdf_text observed=2026-08-15T15:55:16.439546Z digest=sha256:ae69749925c1016e2899f1196ae3f417398082a247cb182b0912c26d7c512ba8

Observation 9f9d8b13-b6db-4d19-a987-96e32df10e44 · outbound

This paper cites Steerable CNNs.

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

Reference 45

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source=pdf_text observed=2026-08-15T15:55:16.443647Z digest=sha256:c54727754d2972e49cfa82ee7e10f2552771f0ce9f34855473414390cb6c83b8

Observation d4a21a72-b4e5-48e5-a8de-5f6dfa560d10 · outbound

This paper cites Learning so (3) equivariant representations with spherical cnns,.

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

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:55:16.809792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 225ed64f-43ab-4fbb-a23f-422efe12075a · outbound

This paper cites Equivariant multi-view networks,.

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

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:55:16.799438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e2590fd9-c148-4e80-808b-d8ee4b9f3e5e · outbound

This paper cites Sensing flow gradients is necessary for learning autonomous underwater navigation,.

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 12a87930-ba35-429c-9333-53f1adbb2f9d · outbound

This paper cites Do transformers really perform badly for graph representation?.

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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Observation 4cb337d6-4cda-4e10-aab0-b20d2930a3a1 · outbound

This paper cites Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.

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

Reference 50

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Observation 8df4cb57-85e0-4bbd-be66-3fdeecdf10a8 · outbound

This paper cites Boost- ing sample efficiency and generalization in multi-agent reinforcement learning via equivariance,.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c70ea9b7-c7d1-4940-a896-3d3a288b4a88 · outbound

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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Observation f501bd5a-4b63-4d8b-b59a-1f801dc72004 · outbound

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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Observation 5fd432e2-593d-4e01-8947-a8d0d1d4a7a0 · outbound

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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source=pdf_text observed=2026-08-15T15:55:16.480789Z digest=sha256:eefa04cc6bc6f2fe8fc64998fc00d3608d5bfbae773b089a399265c3df74c0e5

Observation 3833da55-f7f1-454f-88c5-71f01979d641 · outbound

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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source=pdf_text observed=2026-08-15T15:55:16.484863Z digest=sha256:240c9366937324ca40a5084789e5cf8950d55b4cb8fcf3ed5685a0e8a44d0c95

Observation 2d73e198-0772-4b9b-87b6-33639a09d3cf · outbound

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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verified fuzzy
raw_fallback, observed 2026-08-15T15:55:16.759943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:55:16.489615Z digest=sha256:65f7b14814cd29b09b0d2b60a54b03f4c3ba463327926673e3304cacfcfac3b2

Observation f262c014-5651-40be-a15b-de5968b01cd6 · outbound

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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source=pdf_text observed=2026-08-15T15:55:16.493681Z digest=sha256:c59a41c6b4db9144e3aa1bc3aeeeee084d0781ae4ee8e267a90f264db654a8d7

Observation 42a5ee9e-8293-40d2-b98e-6f74eaf854c6 · outbound

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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raw_fallback, observed 2026-08-15T15:55:16.743180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:55:16.497861Z digest=sha256:4b6f27e184e4257ca8c49c69e793f248ab4a31f330bfec1b7eb940a45f8bb8d0

Observation 30282eb0-0d4c-45dc-91aa-3c0c4040684d · outbound

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:55:16.501485Z digest=sha256:9c3c862187159f78d9576ca51e189a548f957c8c4d96dfff729687fa16d3e904

Observation 5579bd01-37be-4a31-ac4b-65fec44d2b72 · outbound

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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source=pdf_text observed=2026-08-15T15:55:16.505120Z digest=sha256:13e3afdbda3b432e8bfe2f562769e9ece4389b6937b7d1856b88642f942ffc73

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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malformed identifier
arxiv_id, observed 2026-08-04T01:49:12.424451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T20:44:11.206380Z digest=sha256:d16e8d3826257911ca5e13ae96917925331ba0eab9eb43153cfbbf7565e782a8