Paper Citation Record · LEDGER

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2502.03845.

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

pith.paper-citation-record.v1
2502.03845 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:36:02.827053Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:41:58.870095Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy42
unresolved9
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebf6c091-f21a-435d-9737-c8d7ea22c9f8 · outbound

This paper cites Smarts: An open-source scalable multi-agent RL training school for autonomous driving,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Smarts: An open-source scalable multi-agent RL training school for autonomous driving,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.494087Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 074caef1-3b91-4ce3-a970-4fc88c8500d6 · outbound

This paper cites Deep reinforcement learning for swarm systems,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Deep reinforcement learning for swarm systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.483816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 805a03b0-ced8-4bee-9b50-6398792c7a79 · outbound

This paper cites Smart grid for industry using multi-agent reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Smart grid for industry using multi-agent reinforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.473201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a5dbd5a-1110-406a-86ea-24336ce32e0b · outbound

This paper cites Mo-mix: Multi-objective multi- agent cooperative decision-making with deep reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Mo-mix: Multi-objective multi- agent cooperative decision-making with deep reinforcement learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.461810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1838305b-cb9f-4650-bbf4-2636dc334dda · outbound

This paper cites Biases for emergent communication in multi-agent reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Biases for emergent communication in multi-agent reinforcement learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.342506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8349410-3d8a-4447-b453-2b309108bb48 · outbound

This paper cites Learning to ground multi-agent communication with autoencoders,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning to ground multi-agent communication with autoencoders,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.332262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d139353-9bde-4b59-87de-0a2f0fac572d · outbound

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

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.321822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e77e2ada-4d62-4cec-8353-e67e392d8900 · outbound

This paper cites Interaction pattern disentangling for multi-agent reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Interaction pattern disentangling for multi-agent reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.311009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f032820-47d9-4d75-8139-34875279f20e · outbound

This paper cites Counterfactual multi-agent policy gradients,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Counterfactual multi-agent policy gradients,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.300808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 326ac0e4-72a9-4b8f-b632-7cb4b62ce62e · outbound

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

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Multi-agent actor-critic for mixed cooperative-competitive environ- ments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.290912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 472f6a1e-e56f-4dce-b7b4-d6811826b951 · outbound

This paper cites Towards understanding cooperative multi-agent q-learning with value factorization,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Towards understanding cooperative multi-agent q-learning with value factorization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.280621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b4ae96a-c018-4e75-b1ed-a66f0f8e0945 · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.270562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a476d19-6c3b-41f8-918a-8465ca6295e2 · outbound

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

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.260205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 830826de-622a-45a2-af3b-fdffd7a2e8d5 · outbound

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

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 14

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Source-reported events for the cited work

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Observation 2c4df2d8-7d9d-45c9-b061-ab20c5fe0721 · outbound

This paper cites Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T00:36:02.700762Z

Source-reported events for the cited work

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Observation 82a77aad-9af6-4ab8-8dbf-a189106733df · outbound

This paper cites Learning nearly decom- posable value functions via communication minimization,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning nearly decom- posable value functions via communication minimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.250207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9519fd9-342e-484d-a658-a505fd85e9dc · outbound

This paper cites Qplex: Duplex dueling multi-agent q-learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Qplex: Duplex dueling multi-agent q-learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.240183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c37af89-3659-4ce9-9410-31f5d6df6b3b · outbound

This paper cites Learning individually inferred commu- nication for multi-agent cooperation,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning individually inferred commu- nication for multi-agent cooperation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.230226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df454d96-5071-40be-82b5-22e17e2517df · outbound

This paper cites Multi- agent concentrative coordination with decentralized task representation,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Multi- agent concentrative coordination with decentralized task representation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.220299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc9b4292-eadc-47a4-a9c7-8d93bcc6f83e · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning to communicate with deep multi-agent reinforcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.209938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6658c82-8f37-4dfe-8140-ad406f090798 · outbound

This paper cites Learning multiagent commu- nication with backpropagation,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning multiagent commu- nication with backpropagation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.199244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3340f4bb-d30d-499b-97d6-20c512fa7ffc · outbound

This paper cites Learning attentional communication for multi-agent cooperation,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning attentional communication for multi-agent cooperation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.188965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 066bcf6f-1055-4e39-9e26-228af39afe51 · outbound

This paper cites Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Reference 23

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Observation 861a0bd6-15b4-4a98-975a-94934d41310c · outbound

This paper cites Graph Convolutional Reinforcement Learning.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Graph Convolutional Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T00:36:02.732968Z

Source-reported events for the cited work

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Observation 5bc4a4f5-762e-483e-b440-7f18341675a4 · outbound

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

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Multi-agent graph-attention communication and teaming,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.178622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d279d4d4-9043-4d43-b88c-fb39e1a64e82 · outbound

This paper cites Multi-agent game abstraction via graph attention neural network,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Multi-agent game abstraction via graph attention neural network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.168751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd610cc0-5953-4e58-aa45-75e56a729d5f · outbound

This paper cites Efficient multi-agent communication via self-supervised information aggregation,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Efficient multi-agent communication via self-supervised information aggregation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.158741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57e94d9b-5e42-49e7-a8bc-9318cd327696 · outbound

This paper cites Denoising diffusion probabilistic models,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Denoising diffusion probabilistic models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.148421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d96dc11-a0f8-4d90-ac76-82765be09c38 · outbound

This paper cites Mildly conservative q-learning for offline reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Mildly conservative q-learning for offline reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.137819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0abf8a1-1a10-4a43-a0a5-d0a1bbc60a03 · outbound

This paper cites Learning multi-agent communication through structured attentive reasoning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Learning multi-agent communication through structured attentive reasoning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.127106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02cc4699-4e89-4fc7-8b34-6dc68c7969ea · outbound

This paper cites The StarCraft Multi-Agent Challenge.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication The StarCraft Multi-Agent Challenge

Reference 31

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Source-reported events for the cited work

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Observation fb735f31-3e5b-4903-b646-d0d9a1039e08 · outbound

This paper cites Social networks and cooperation in hunter-gatherers,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Social networks and cooperation in hunter-gatherers,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.116214Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e6d0ac1-c02c-407d-b837-8e3ee780ce26 · outbound

This paper cites Structured cooperative reinforcement learning with time-varying composite action space,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Structured cooperative reinforcement learning with time-varying composite action space,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.105642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21515b20-24fe-4446-8c47-e88aacb8dcdf · outbound

This paper cites Succinct and robust multi-agent communication with temporal message control,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Succinct and robust multi-agent communication with temporal message control,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.095395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90ce455f-aa04-41dc-8d70-293e9d17701a · outbound

This paper cites Deterministic policy gradient algorithms,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Deterministic policy gradient algorithms,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.085264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b395e324-7186-4faa-b65f-f37c6855d601 · outbound

This paper cites Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.074833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19020127-f45c-4cf4-9a49-c25c7cea3b2f · outbound

This paper cites Tarmac: Targeted multi-agent communication,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Tarmac: Targeted multi-agent communication,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.064076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 227f4901-a817-4c67-8dc8-b20948735830 · outbound

This paper cites Robust multi- agent communication with graph information bottleneck optimization,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Robust multi- agent communication with graph information bottleneck optimization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.053365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07a0e3ca-5acf-4fb9-8496-0961b2042eec · outbound

This paper cites Generative adversarial nets,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Generative adversarial nets,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.042576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a3c42ab-e4a1-4259-aa21-abc56b49879d · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 40

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Observation 2b7b8882-f93b-4cf5-9ae9-78bfbd327a4f · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Photo-realistic single image super-resolution using a generative adversarial network,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.031496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 698c4696-eaba-45bd-bfa4-750d62c7dec6 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T00:36:02.795279Z

Source-reported events for the cited work

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Observation eb65e13e-fb9c-4b97-b000-08d5cc83082c · outbound

This paper cites Banach wasserstein gan,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Banach wasserstein gan,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.020536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1370729-bd2f-4863-8528-54c9a99f0a87 · outbound

This paper cites High- resolution image inpainting using multi-scale neural patch synthesis,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication High- resolution image inpainting using multi-scale neural patch synthesis,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:03.008732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f747bf49-58ed-423d-a658-d69edf4acad5 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:02.996203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8ba8824-e609-4681-9eec-d325965992a4 · outbound

This paper cites Human-level control through deep reinforcement learning,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Human-level control through deep reinforcement learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:02.985220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19e4505a-cae1-439d-ab0c-1f53b8a1f0e8 · outbound

This paper cites An information theory perspective on variance-invariance- covariance regularization,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication An information theory perspective on variance-invariance- covariance regularization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:02.973415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64cc577d-7801-4f16-a413-213d05f30675 · outbound

This paper cites Attention is all you need,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Attention is all you need,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:02.962171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7e05151-45f5-4c34-a4a1-ca4f7a3d00a3 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication U-net: Convolutional networks for biomedical image segmentation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:36:02.950722Z

Source-reported events for the cited work

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Observation 485639cf-2548-45c7-bd80-25388ee87c7d · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Mish: A Self Regularized Non-Monotonic Activation Function

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T00:36:02.823268Z

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Observation df9c1fca-f757-4566-853e-4a3e2ba998f6 · outbound

This paper cites Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T00:36:02.827053Z

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Pith citing papers

Observation d4cfb415-bee1-4580-9c75-5ec4a5952522 · inbound

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss cites this paper.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.870095Z

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