Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges | Paper Citation Record

Observation d1781c92-6a6c-40dd-ac21-465f3c2e40a8 · outbound

This paper cites A survey on mobility of edge computing networks in IoT: State-of-the-art, architectures, and challenges,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A survey on mobility of edge computing networks in IoT: State-of-the-art, architectures, and challenges,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:03.216408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819fa191-a453-41b0-86c2-03170b1fd7aa · outbound

This paper cites Edge-computing-driven internet of things: A survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Edge-computing-driven internet of things: A survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:03.335618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30426ed-c08e-4d24-a860-d80affbe81e3 · outbound

This paper cites Distributed artificial intelligence empowered by end-edge-cloud com- puting: A survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Distributed artificial intelligence empowered by end-edge-cloud com- puting: A survey,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:03.484488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40f1959-c2bc-4b8a-a984-375b1c012d0c · outbound

This paper cites Disclosing edge intelligence: A systematic meta-survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Disclosing edge intelligence: A systematic meta-survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:03.594364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f472f45-c6e1-4be0-9152-de20135cd2c3 · outbound

This paper cites Edge intelligence: Empowering intelligence to the edge of network,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Edge intelligence: Empowering intelligence to the edge of network,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:03.753043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d312655a-ae37-4a18-981d-f9dc86682951 · outbound

This paper cites Edge intelligence: Paving the last mile of artificial intelligence with edge computing,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Edge intelligence: Paving the last mile of artificial intelligence with edge computing,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:03.913181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64973851-d205-4b61-9009-efe2cbb495ce · outbound

This paper cites Security and privacy on 6G network edge: A survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Security and privacy on 6G network edge: A survey,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:03.996105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37302ead-b844-4f26-b5ff-d32f0a591090 · outbound

This paper cites Edge intelligence: The confluence of edge computing and artificial intelligence,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Edge intelligence: The confluence of edge computing and artificial intelligence,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.003346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eee49b5-95f4-4bb9-891b-23a334a1571f · outbound

This paper cites Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.008679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07094bcb-491b-4b59-becf-95b593bca157 · outbound

This paper cites Towards edge general intelligence via large language models: Opportunities and challenges,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Towards edge general intelligence via large language models: Opportunities and challenges,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.014603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c9130f1-eff8-47d0-b0d3-e870d1351f25 · outbound

This paper cites Agentic AI: Autonomous intelligence for complex goals–a comprehensive survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Agentic AI: Autonomous intelligence for complex goals–a comprehensive survey,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.019749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94bab7d-cdd5-477d-a6d0-e9bacb21f300 · outbound

This paper cites AI agents vs. agentic AI: A conceptual taxonomy, applications and challenge,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges AI agents vs. agentic AI: A conceptual taxonomy, applications and challenge,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.025258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4840c5d-4366-4964-a698-85b6fe40badc · outbound

This paper cites The road toward general edge intelligence: Standing on the shoulders of foundation models,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges The road toward general edge intelligence: Standing on the shoulders of foundation models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.030073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4091e64-12dc-43df-b6f2-4ed83387a1d8 · outbound

This paper cites Artificial general intelligence (AGI)-native wireless systems: A journey beyond 6G,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Artificial general intelligence (AGI)-native wireless systems: A journey beyond 6G,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.035285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e7aca27-e5d2-4f6c-9a00-1984b11e9e92 · outbound

This paper cites Thinking in space: How multimodal large language models see, remember, and recall spaces,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Thinking in space: How multimodal large language models see, remember, and recall spaces,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.042525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f5303fc-667c-44ff-8f40-461c3b257bd7 · outbound

This paper cites A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.047597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a36195b-72d9-419b-84aa-8063fc26194a · outbound

This paper cites Recurrent world models facilitate policy evolution,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Recurrent world models facilitate policy evolution,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.053138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24507085-914b-444a-9334-4ab12a62e900 · outbound

This paper cites Mastering diverse control tasks through world models,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Mastering diverse control tasks through world models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.057455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfcd764f-9b7b-426d-8bd9-3a72d1dd992a · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Understanding world or predicting future? a comprehensive survey of world models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.061962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4b7613-9c3b-405e-9ea1-38a9af354aa6 · outbound

This paper cites Learning and Leveraging World Models in Visual Representation Learning.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Learning and Leveraging World Models in Visual Representation Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.066353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8415bf92-a081-4cb6-9562-169ceacb6ef0 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.070982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef40fb93-2e96-4b37-8467-9030ffd0560e · outbound

This paper cites A survey of recent advances in optimization methods for wireless communications,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A survey of recent advances in optimization methods for wireless communications,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.076433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68694f9b-d62e-40b7-875c-802ddd84b0bc · outbound

This paper cites Fully-decoupled RAN for feedback-free multi-base station transmission in MIMO-OFDM system,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Fully-decoupled RAN for feedback-free multi-base station transmission in MIMO-OFDM system,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.080834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b92c349-413b-4cb1-b07e-e6313e7d6a6e · outbound

This paper cites Channel estimation for reconfigurable intelligent surface assisted high-mobility wireless systems,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Channel estimation for reconfigurable intelligent surface assisted high-mobility wireless systems,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.085442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 837ebd0c-c1ff-4633-a109-f73cf2a817ea · outbound

This paper cites Federated learning over fully-decoupled RAN architecture for two-tier computing acceleration,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Federated learning over fully-decoupled RAN architecture for two-tier computing acceleration,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.089780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88b5024e-1208-48c0-ac59-b7a40def3190 · outbound

This paper cites Navigating the road ahead: A comprehensive survey of radio resource allocation for vehicle platooning in C-V2X communications,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Navigating the road ahead: A comprehensive survey of radio resource allocation for vehicle platooning in C-V2X communications,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.093950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71642d89-9f3a-4d59-b813-be6c92159562 · outbound

This paper cites World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.099790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c452aec-6557-4817-8868-e0e83784942f · outbound

This paper cites Generative AI for secure physical layer communi- cations: A survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative AI for secure physical layer communi- cations: A survey,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.104249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c184dff-277c-4c1e-b560-160f327f120d · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Reasoning with Language Model is Planning with World Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.108618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6417d900-2b43-4fdb-8f2a-06cb615cd8a5 · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Vista: A generalizable driving world model with high fidelity and versatile controllability,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.113863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb1cefdf-9435-4baa-ad54-d761891a932d · outbound

This paper cites Random 3D mobile UA V networks: Mobility modeling and coverage probability,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Random 3D mobile UA V networks: Mobility modeling and coverage probability,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.118569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc2aedf-0637-43d8-8b31-1c866f1934fe · outbound

This paper cites World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.124068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc761aef-d3dc-482f-9a80-b36e33e9b60c · outbound

This paper cites A Survey of World Models for Autonomous Driving.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A Survey of World Models for Autonomous Driving

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.129608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61cc23b2-c785-4cea-9a55-dc7e7fb49286 · outbound

This paper cites World models for autonomous driving: An initial survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges World models for autonomous driving: An initial survey,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.134259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40546fe5-a53d-4d31-83b8-fa4f60aebfeb · outbound

This paper cites Edge Intelligence: Architectures, Challenges, and Applications.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Edge Intelligence: Architectures, Challenges, and Applications

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.139432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed46bc34-f2bd-4e81-b1be-5b0978055fc0 · outbound

This paper cites Is sora a world simulator? a comprehensive survey on general world models and beyond,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Is sora a world simulator? a comprehensive survey on general world models and beyond,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.144343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb1a1c5-e953-42ff-91da-dd7ec45740a3 · outbound

This paper cites Digital twin assisted intelligent network man- agement for vehicular applications,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Digital twin assisted intelligent network man- agement for vehicular applications,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.148822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac51e60-460a-46bd-ad86-3b0cbe36fc14 · outbound

This paper cites Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.152982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7473e956-0c02-45bd-bfc0-66ebe380e031 · outbound

This paper cites LLM-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges LLM-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.157338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b7274b-1266-4892-bfe4-0f3599d64cad · outbound

This paper cites Energy-Efficient RSMA-enabled Low-altitude MEC Optimization Via Generative AI-enhanced Deep Reinforcement Learning.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Energy-Efficient RSMA-enabled Low-altitude MEC Optimization Via Generative AI-enhanced Deep Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.162159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6293d36-0071-4d6e-8a3b-c4c2e51072f5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges LLaMA: Open and Efficient Foundation Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.166645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2305cae0-4e8c-4eda-90a6-76950d78dd4b · outbound

This paper cites Leveraging edge intelligence and LLMs to advance 6G-enabled internet of automated defense vehicles,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Leveraging edge intelligence and LLMs to advance 6G-enabled internet of automated defense vehicles,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.171111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe25850-1e82-4c71-b71d-27d3f4765289 · outbound

This paper cites Trustworthy distributed AI systems: Robustness, privacy, and governance,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Trustworthy distributed AI systems: Robustness, privacy, and governance,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.175405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47a75d3f-c2d5-4c3b-85a4-98fbddb56c91 · outbound

This paper cites Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:02:05.706700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b699867b-9796-43a1-a88e-f2582f0d9e28 · outbound

This paper cites From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.184259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eed77bf-4585-4f9a-8572-b17aa7d1356c · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges MemGPT: Towards LLMs as Operating Systems

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.188491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511c973b-e6e0-4ba6-ae1a-8898daf71d6b · outbound

This paper cites Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.193153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c264595-261c-4152-96ee-6a8941b6442b · outbound

This paper cites Learning latent dynamics for planning from pixels,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Learning latent dynamics for planning from pixels,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.197722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39dfad61-e0f8-489b-b020-2a0f33275d3b · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Dream to Control: Learning Behaviors by Latent Imagination

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.201921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dce9713-f946-4672-a931-2827e5d17901 · outbound

This paper cites Tutorial overview of model predictive control,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Tutorial overview of model predictive control,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.206536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c84a7c-a752-425e-8fea-d61e3c7f8592 · outbound

This paper cites Deep learning, reinforcement learning, and world models,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Deep learning, reinforcement learning, and world models,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.210690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b2884a0-6fa0-4aa6-81bd-f3ae2bb9d6ac · outbound

This paper cites Dyna, an integrated architecture for learning, planning, and reacting,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Dyna, an integrated architecture for learning, planning, and reacting,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.214962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de51851f-c7e5-4fe9-9b68-f7b105c2b9e5 · outbound

This paper cites Auto-encoders in deep learning—a review with new perspectives,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Auto-encoders in deep learning—a review with new perspectives,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.219716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17f44955-5184-446d-ba9d-53a15a2a5a40 · outbound

This paper cites Tutorial on Variational Autoencoders.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Tutorial on Variational Autoencoders

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.225389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4a9725-f715-47ad-9939-62bc08600d25 · outbound

This paper cites Neural discrete representation learning,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Neural discrete representation learning,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.230755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3edc645-4f39-4b8d-a493-c2f7e7228bbb · outbound

This paper cites Transformers in vision: A survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Transformers in vision: A survey,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.235678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af28b74-4a95-44cf-8bc3-793eee70772e · outbound

This paper cites A survey on vision transformer,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A survey on vision transformer,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.240060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd4735f-c5b3-48d0-9257-3d9a225fc200 · outbound

This paper cites GPT (generative pre-trained transformer)— a comprehensive review on enabling technologies, po- tential applications, emerging challenges, and future directions,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges GPT (generative pre-trained transformer)— a comprehensive review on enabling technologies, po- tential applications, emerging challenges, and future directions,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.244564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa92f231-e95a-4605-bf29-9796cbc52d27 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Vision-language models for vision tasks: A survey,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.248826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f885a632-b398-4690-8036-39472c0b3051 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.252846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cdbc511-af8a-4fc2-b107-4f13a6a71d1c · outbound

This paper cites A Generalist Agent.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A Generalist Agent

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.257572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b3c5467-f837-4c90-bbe7-f75711a7ac88 · outbound

This paper cites Generative adversarial net- works,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative adversarial net- works,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.262320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b3f6e51-86c9-4884-855e-37866347f13e · outbound

This paper cites World-GAN: A gener- ative model for minecraft worlds,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges World-GAN: A gener- ative model for minecraft worlds,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.266586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c8f2c55-3b11-43c8-b206-ad9e0b2a4352 · outbound

This paper cites Generative adversarial networks: An overview,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative adversarial networks: An overview,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.271413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dfbd67a-e8c2-4ade-9248-6332b41192b4 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Diffusion models: A comprehensive survey of methods and applications,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.275683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcd5bae-c54e-4f23-916d-635a7816e6d8 · outbound

This paper cites Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.280949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb4281c-3eb3-4bde-919c-61931a242acf · outbound

This paper cites Video generation models as world simulators,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Video generation models as world simulators,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.286216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b18bce54-6baa-463b-837b-f71eb4817167 · outbound

This paper cites Mastering Atari with Discrete World Models.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Mastering Atari with Discrete World Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.290711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cd782b2-36f7-440f-b61f-033f33ce46e7 · outbound

This paper cites Transformer-based World Models Are Happy With 100k Interactions.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Transformer-based World Models Are Happy With 100k Interactions

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.295140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6adf1f11-f9d4-4404-9682-3d230df6790c · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.299418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b693f5ac-1f92-4669-b3bd-9371a2d051ec · outbound

This paper cites WorldGPT: Empowering LLM as multimodal world model,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges WorldGPT: Empowering LLM as multimodal world model,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.304042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd8d69bc-fd80-462c-93c7-83da006727e6 · outbound

This paper cites Adversarial Video Generation on Complex Datasets.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Adversarial Video Generation on Complex Datasets

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.308636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c53049be-15db-4a3c-acdf-fbe05de42a8a · outbound

This paper cites World Models via Policy-Guided Trajectory Diffusion.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges World Models via Policy-Guided Trajectory Diffusion

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.314098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e167bc77-3578-489b-9c9d-8c3ef86ccde1 · outbound

This paper cites Prioritized sweeping: Reinforcement learning with less data and less time,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Prioritized sweeping: Reinforcement learning with less data and less time,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.319438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9ef3b89-6549-482e-9d8a-b7e6ac6d7757 · outbound

This paper cites Wireless networks design in the era of deep learning: Model-based, AI-based, or both?.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Wireless networks design in the era of deep learning: Model-based, AI-based, or both?

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.324488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2649b19a-a0ec-40fa-92e0-3a149066218f · outbound

This paper cites Autonomous navigation of UA V by using real-time model-based reinforcement learning,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Autonomous navigation of UA V by using real-time model-based reinforcement learning,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.329604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9d28741-eadd-4f96-ac3c-838167ae13f4 · outbound

This paper cites Texplore: real-time sample-efficient reinforce- ment learning for robots,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Texplore: real-time sample-efficient reinforce- ment learning for robots,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.334561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb61b4f0-2f0e-4497-ac47-bce1306c485b · outbound

This paper cites A model-based reinforcement learning protocol for routing in vehicular ad hoc network,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A model-based reinforcement learning protocol for routing in vehicular ad hoc network,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.338834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b1561cf-d305-45b6-b2b6-1b47e933ac9a · outbound

This paper cites Model-based reinforcement learning with kernels for resource allocation in RAN slices,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Model-based reinforcement learning with kernels for resource allocation in RAN slices,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.344116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb3bf5b-e6dc-4b78-a81a-8dc5efdc6319 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Mastering atari, go, chess and shogi by planning with a learned model,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.348838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259920f2-9dd7-4471-81f9-ca11bf298191 · outbound

This paper cites OpenAI Gym.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges OpenAI Gym

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.353020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313153b3-7cb2-4efb-b806-48c42e267ea5 · outbound

This paper cites Machine learning for channel quality prediction: From concept to experimental validation,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Machine learning for channel quality prediction: From concept to experimental validation,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.357569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be6a68c2-d548-4226-9b8e-c0e0ccc912b6 · outbound

This paper cites Deep learning based prediction of traffic peaks in mobile networks,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Deep learning based prediction of traffic peaks in mobile networks,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.362039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04820e5e-1dd2-40f5-9780-9f8f03934ed0 · outbound

This paper cites Energy- efficient trajectory optimization with wireless charging in UA V-assisted MEC based on multi-objective reinforcement learning,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Energy- efficient trajectory optimization with wireless charging in UA V-assisted MEC based on multi-objective reinforcement learning,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.366339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af06cba-aa53-4cb6-9a83-31ebd4a8c63e · outbound

This paper cites Joint deployment and trajectory optimization in UA V-assisted vehicular edge computing networks,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Joint deployment and trajectory optimization in UA V-assisted vehicular edge computing networks,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.371541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b175e35-31a0-40ed-af1a-9b433434fbf1 · outbound

This paper cites Joint communication and trajectory optimization for multi-UA V enabled mobile internet of vehicles,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Joint communication and trajectory optimization for multi-UA V enabled mobile internet of vehicles,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.376425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 314461d0-ba17-401c-901f-63924777e47a · outbound

This paper cites Uncertainty-aware model-based reinforce- ment learning: Methodology and application in autonomous driving,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Uncertainty-aware model-based reinforce- ment learning: Methodology and application in autonomous driving,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.381081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cafa9fdb-f6b9-4592-b3e3-fea85ff7a14b · outbound

This paper cites Uncertainty- aware multiview deep learning for internet of things applications,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Uncertainty- aware multiview deep learning for internet of things applications,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.386558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14af714-429c-40bd-942b-a7f1fabf90e2 · outbound

This paper cites Rm-Gen: Conditional diffusion model-based radio map generation for wireless networks,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Rm-Gen: Conditional diffusion model-based radio map generation for wireless networks,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.391612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20eeb233-35a8-4ea3-9aa2-b00b49633242 · outbound

This paper cites Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:02:05.451429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8430f2ce-f461-4a33-897a-3cfcde841183 · outbound

This paper cites Generative AI based Secure Wireless Sensing for ISAC Networks.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:02:05.429666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f541fe4-d20f-4650-bdd5-7eedf7ecc033 · outbound

This paper cites Generative AI for deep reinforcement learning: Framework, analysis, and use cases,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative AI for deep reinforcement learning: Framework, analysis, and use cases,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.407600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a553c142-3d56-4708-b791-b83747fd7eb9 · outbound

This paper cites Deep reinforcement learning for channel estimation in RIS-aided wireless networks,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Deep reinforcement learning for channel estimation in RIS-aided wireless networks,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.412825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9951c7e3-f6ea-4f74-aee4-b988d37d95e5 · outbound

This paper cites Model-based: End-to-end molecular communication system through deep reinforce- ment learning auto encoder,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Model-based: End-to-end molecular communication system through deep reinforce- ment learning auto encoder,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.418522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b09fcf-33fe-4de7-880b-5c20a1ca5406 · outbound

This paper cites Model predictive control: Theory and practice—a survey,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Model predictive control: Theory and practice—a survey,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.423949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbc12c1-1c62-4fe9-8415-6b574c659be3 · outbound

This paper cites Model predictive path integral control for agile unmanned aerial vehicles,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Model predictive path integral control for agile unmanned aerial vehicles,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.429195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5007d67d-5069-4cec-933a-5dbafa04ae52 · outbound

This paper cites Model predictive control for the receiving-side DC–DC converter of dynamic wireless power transfer,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Model predictive control for the receiving-side DC–DC converter of dynamic wireless power transfer,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.434156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f44c47-918e-438a-b616-a4afeb15bf9e · outbound

This paper cites A low computational burden model predictive control for dynamic wireless charging,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A low computational burden model predictive control for dynamic wireless charging,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.439177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c935e5-3179-4cf8-8f66-a2e17312073a · outbound

This paper cites A survey of monte carlo tree search methods,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A survey of monte carlo tree search methods,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.444520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ddae81-081d-4034-9064-7b6ac5f446d5 · outbound

This paper cites Path planning for the dynamic UA V-aided wireless systems using monte carlo tree search,.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Path planning for the dynamic UA V-aided wireless systems using monte carlo tree search,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.448923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers