Paper Citation Record · LEDGER

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

As of 8 August 2026, this Paper Citation Record lists 100 of 206 outbound references and 11 inbound Pith citation observations for arXiv:2505.22311.

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

pith.paper-citation-record.v1
2505.22311 v1

Coverage vector

measured 100 of 206 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:54.071769Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:28:05.847222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:40:29.067915Z

Reference resolution

100 of 206 outbound references displayed

verified exact5
verified fuzzy0
unresolved95
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4cc9a56-9114-4e79-820a-72a570d60087 · outbound

This paper cites 6g wireless networks: Vision, requirements, archi- tecture, and key technologies,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications 6g wireless networks: Vision, requirements, archi- tecture, and key technologies,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:44.576879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 558c8df9-905e-47d3-a1c1-6fcc104f7920 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:44.660004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225480a3-fa6b-4fe7-b984-0aabccadd969 · outbound

This paper cites Improving language understanding by generative pre- training,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Improving language understanding by generative pre- training,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:44.743009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962b63f6-76ef-4e69-bf54-65074f0a564e · outbound

This paper cites Language models are unsupervised multitask learners,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Language models are unsupervised multitask learners,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:44.810827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63df9532-6976-4887-b0aa-78d547b5d670 · outbound

This paper cites Language Models are Few-Shot Learners.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Language Models are Few-Shot Learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:44.906399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5eed23-946b-46a5-bec5-f89e142a21a9 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.017739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ced246-1e98-4c0f-b384-7d8d47b2854b · outbound

This paper cites Training language models to follow instructions with human feedback,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Training language models to follow instructions with human feedback,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.117696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e97c79c-a775-43f2-9393-c15af59e93ea · outbound

This paper cites Segment anything,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Segment anything,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.208996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0906ceba-f202-4654-8fd3-6b1775d81161 · outbound

This paper cites GPT-4 Technical Report.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications GPT-4 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.332981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93bfa007-5228-4a94-ba2f-36b00aec1d4b · outbound

This paper cites A cross-domain performance report of open ai chatgpt o1 model,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A cross-domain performance report of open ai chatgpt o1 model,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.545037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b6a02e3-2076-4f00-bd10-f167edf8d731 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.673630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d90dd31-e67d-4a0f-aea1-1e27c08ccf57 · outbound

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

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.766780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa84b6ff-06f2-4632-ba31-8c5ea0fcb194 · outbound

This paper cites Babyagi,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Babyagi,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.818004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36223c6a-5614-4f68-92fb-3824c67459f8 · outbound

This paper cites OpenAgents: An Open Platform for Language Agents in the Wild.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications OpenAgents: An Open Platform for Language Agents in the Wild

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:45.922315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2457e598-d8dc-45f2-bb6f-c864b5528e5f · outbound

This paper cites From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.048163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec632bc-2c14-433f-a200-59e62fc85c0b · outbound

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

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.134338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0264c713-3cdc-4436-96ec-2652e63dd585 · outbound

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

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.245117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 803fefbd-00fa-4a79-9cce-debcb9b9ae8d · outbound

This paper cites A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.405416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27b9f3d-943b-4d54-9ded-0a61e33241d5 · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.569049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66aa263c-e391-4613-9713-1b5940d0e5ee · outbound

This paper cites A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.662720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb76ab77-e76e-4f8e-a984-3917c05b67ed · outbound

This paper cites Big ai models for 6g wireless networks: Opportunities, challenges, and research directions,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Big ai models for 6g wireless networks: Opportunities, challenges, and research directions,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.720969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eaf8e3b-6441-480a-82fd-3910b736911d · outbound

This paper cites Large language models for networking: Applications, enabling techniques, and challenges,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large language models for networking: Applications, enabling techniques, and challenges,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.812786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5441fdf-b9c1-4311-b3de-09338e3a7fdb · outbound

This paper cites 6g wireless communication systems: Applications, requirements, technolo- gies, challenges, and research directions,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications 6g wireless communication systems: Applications, requirements, technolo- gies, challenges, and research directions,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.936620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07fbd2a-4ede-4db4-a6b8-8bf7854e6cfe · outbound

This paper cites Large language model enhanced multi-agent systems for 6g communications,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large language model enhanced multi-agent systems for 6g communications,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.075920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8970b37b-0958-4c8b-8c34-6220c899c709 · outbound

This paper cites Large ai model-based semantic communications,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large ai model-based semantic communications,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.158209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170556e1-6c1a-4a63-a628-ef74ff70b159 · outbound

This paper cites A safer vision-based autonomous planning system for quadrotor uavs with dynamic obstacle trajectory prediction and its application with llms,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A safer vision-based autonomous planning system for quadrotor uavs with dynamic obstacle trajectory prediction and its application with llms,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.232310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 677aa1e7-77a9-4a8e-8a82-58094691d243 · outbound

This paper cites Large language models empowered autonomous edge ai for connected intelligence,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large language models empowered autonomous edge ai for connected intelligence,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.392043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603887fa-fc55-4fa9-9991-4be0dc14080e · outbound

This paper cites Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.467144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48848d5-ab01-4aed-a172-2536e0e52955 · outbound

This paper cites Attention is all you need,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Attention is all you need,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.535820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 805e2d8c-004c-4838-acb2-817d69b59b2d · outbound

This paper cites Witt: A wire- less image transmission transformer for semantic communications,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Witt: A wire- less image transmission transformer for semantic communications,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.645396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf91da1-d493-426a-9352-76439a6e0933 · outbound

This paper cites Unveiling the Power of Complex-Valued Transformers in Wireless Communications.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Unveiling the Power of Complex-Valued Transformers in Wireless Communications

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.749621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103863ed-b0e4-4473-a8ed-d0c9aca08a06 · outbound

This paper cites Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.907522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c96fd18a-b38b-4b09-bd39-fe615e1936b2 · outbound

This paper cites Decision transformers for wireless communications: A new paradigm of resource management,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Decision transformers for wireless communications: A new paradigm of resource management,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.949116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22d3658-27e2-4121-ac84-c69184918bb3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.981904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2c04ac0-9f09-4451-be19-578936414b12 · outbound

This paper cites Vision Transformer Based Semantic Communications for Next Generation Wireless Networks.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Vision Transformer Based Semantic Communications for Next Generation Wireless Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.085042Z

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Unavailable: canonical work link unavailable.

Observation f31119ae-3ce1-410e-bad0-ced00bebbef8 · outbound

This paper cites Vit los v2x: Vision transformers for environment-aware los blockage prediction for 6g vehicular networks,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Vit los v2x: Vision transformers for environment-aware los blockage prediction for 6g vehicular networks,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.125806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4df353e-ded6-4b91-bed9-bb87213385f5 · outbound

This paper cites Fe-skvit: A feature- enhanced vit model with skip attention for automatic modulation recognition.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Fe-skvit: A feature- enhanced vit model with skip attention for automatic modulation recognition

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.169336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe58dc13-9dce-46b8-9515-658bdb3f9a46 · outbound

This paper cites Auto-Encoding Variational Bayes.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Auto-Encoding Variational Bayes

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.261744Z

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Unavailable: canonical work link unavailable.

Observation 6eb2297c-cba1-4246-9edc-0972b0163c16 · outbound

This paper cites Prvnet: A novel partially- regularized variational autoencoders for massive mimo csi feedback,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Prvnet: A novel partially- regularized variational autoencoders for massive mimo csi feedback,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.330637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bac6e43-7d26-4d39-b3da-ef69cc8640e6 · outbound

This paper cites Joint coding-modulation for digital semantic communications via variational autoencoder,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Joint coding-modulation for digital semantic communications via variational autoencoder,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.439127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f33a3f0-43d3-498d-888a-ef186edebd06 · outbound

This paper cites Variational autoencoder-enhanced deep neural network-based detection for mimo systems,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Variational autoencoder-enhanced deep neural network-based detection for mimo systems,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.517423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d66c77d-7cf3-4b74-84ca-d6c67a82fa8b · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.609257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f58a3c9-632b-4433-a638-c2adbc023da8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications High-resolution image synthesis with latent diffusion models,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.669969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69172a3a-fd91-47ab-810f-843add20266f · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.788852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eca3653-073a-416e-93ef-f549ada217c0 · outbound

This paper cites Improving image generation with bet- ter captions,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Improving image generation with bet- ter captions,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.911266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ff246b-1f9f-4098-8b0d-3a1475fd8f60 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Photorealistic text-to-image diffusion models with deep language understanding,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:48.969667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24600b86-822c-4a98-89b6-9a34215d5fe9 · outbound

This paper cites Conditional denoising diffusion-based channel estimation for fast time-varying mimo-ofdm systems,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Conditional denoising diffusion-based channel estimation for fast time-varying mimo-ofdm systems,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.091169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc0d29af-261c-4765-88ac-c374acd35c6e · outbound

This paper cites Dif- fusion models for audio semantic communication,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Dif- fusion models for audio semantic communication,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.202441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f06760-04c0-4078-acb8-8afc4230dc2f · outbound

This paper cites Dmce: Diffusion model channel enhancer for multi-user semantic communication systems,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Dmce: Diffusion model channel enhancer for multi-user semantic communication systems,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.286716Z

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Unavailable: canonical work link unavailable.

Observation db6d6ea9-5742-4d5e-90e7-194be1b5a3dc · outbound

This paper cites Diffusion-based radio signal augmentation for automatic modulation classification,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Diffusion-based radio signal augmentation for automatic modulation classification,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.376905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 064c9162-d833-4f6f-86ef-b000d022612c · outbound

This paper cites Scalable diffusion models with transformers,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Scalable diffusion models with transformers,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.478496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0af3417-603d-47ee-bb53-d8270ee5ce0d · outbound

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

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.597585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 687ba42a-575b-4a8f-8f1f-f7a3212f991b · outbound

This paper cites Adaptive mixtures of local experts,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Adaptive mixtures of local experts,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.635981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a0e68b-6024-4a56-9b8a-3c0004a70fa5 · outbound

This paper cites Glam: Efficient scaling of language models with mixture-of-experts,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Glam: Efficient scaling of language models with mixture-of-experts,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.716430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55023f57-42f0-46f8-8060-6e88c5adfc15 · outbound

This paper cites Mixtral of Experts.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Mixtral of Experts

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.866929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d874e1-5c43-4ae3-9f6c-3b13677f1958 · outbound

This paper cites Enhancing physical layer communication security through generative ai with mixture of experts,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Enhancing physical layer communication security through generative ai with mixture of experts,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.928092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9b8c92-50b5-4581-a626-eed5d72675df · outbound

This paper cites Generative ai agents with large language model for satellite networks via a mixture of experts transmission,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Generative ai agents with large language model for satellite networks via a mixture of experts transmission,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.047055Z

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Observation 16c8dc16-dc11-40e9-bd37-5c0fd214406e · outbound

This paper cites MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.213792Z

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Observation 2c2f2b92-3eb3-4536-b133-bb49cf28aa94 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Gemini: A Family of Highly Capable Multimodal Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.391165Z

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Observation 981d56a6-f191-4770-a567-b6df5558dca5 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.478457Z

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Observation 756e507a-0024-4204-8124-85ed64996305 · outbound

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

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications LLaMA: Open and Efficient Foundation Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.562511Z

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Observation beedcef3-19c2-432b-b071-67b5d008525b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.629841Z

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Observation 1bcd71b5-96e0-41a9-8180-0ff9b014b6d2 · outbound

This paper cites The Llama 3 Herd of Models.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications The Llama 3 Herd of Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.700872Z

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Observation ba49c291-c27e-4371-90d6-0e561c7fdbff · outbound

This paper cites Large ai model empowered multimodal semantic communications,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large ai model empowered multimodal semantic communications,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.780626Z

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Observation b95999f9-6974-4d25-8c9b-9b33d84ff44c · outbound

This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.855974Z

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Observation 79387700-2ead-4bf8-9f2f-a5b484f7dfd9 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Masked autoencoders are scalable vision learners,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.929672Z

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Observation b294675f-7962-4955-b215-6d5affdadff4 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications DINOv2: Learning Robust Visual Features without Supervision

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:50.980886Z

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Observation cd818044-d541-4f37-ae18-dc7aaee21276 · outbound

This paper cites Segment Anything Meets Semantic Communication.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Segment Anything Meets Semantic Communication

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:14:08.228984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17d21303-0ce4-41f7-99ac-38fa7d6d09a2 · outbound

This paper cites Lightweight Vision Model-based Multi-user Semantic Communication Systems.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Lightweight Vision Model-based Multi-user Semantic Communication Systems

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:14:08.103556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a13c494-02d0-4ac5-938b-aa461e29c527 · outbound

This paper cites Visual instruction tuning,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Visual instruction tuning,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.230498Z

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Observation 87ff56ab-ba27-41fa-9d7f-5dbc39b262bf · outbound

This paper cites Llava-grounding: Grounded visual chat with large multimodal models,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Llava-grounding: Grounded visual chat with large multimodal models,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.318889Z

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Observation 61957d92-1bc7-46f0-b676-9900ac0d4a92 · outbound

This paper cites Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.404457Z

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Observation e913706a-4ff1-4265-83b1-d01153fb5aaa · outbound

This paper cites Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.471875Z

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Observation c4315b46-8f59-464a-9e8d-f929db9065f5 · outbound

This paper cites Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:14:07.866044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ddcc9ac-dade-4fab-b2ab-26fd0cf6e852 · outbound

This paper cites Application of frozen large-scale models to multimodal task-oriented dialogue.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Application of frozen large-scale models to multimodal task-oriented dialogue

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:14:07.539451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8649973a-e863-46fd-9b3b-8a86ef7f221c · outbound

This paper cites A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.717425Z

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Observation afa33a7b-1757-4004-954c-496e859114af · outbound

This paper cites Instruction tuning for large language models: A survey,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Instruction tuning for large language models: A survey,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.832207Z

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Observation f604b46b-c645-4abc-9113-05b16147fd85 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Chain-of-thought prompting elicits reasoning in large language models,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.882527Z

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Observation dd3a5aa4-a182-4432-838c-4244a6c8d57d · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:51.992446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbe6b62-f1b0-417c-b6ed-b7c7dc1cdb85 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.098390Z

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Unavailable: canonical work link unavailable.

Observation 29ecdaa9-2319-404c-b8c4-9f94c4d5ee96 · outbound

This paper cites Qwen2.5 Technical Report.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Qwen2.5 Technical Report

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.174939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea6a8774-66b0-487b-8999-c313a6d26e2a · outbound

This paper cites Efficient selectivity and backup operators in monte-carlo tree search,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Efficient selectivity and backup operators in monte-carlo tree search,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.273687Z

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Observation 85e362f4-6950-4b45-a4bd-7d0e0692b82e · outbound

This paper cites A survey of efficient reasoning for large rea- soning models: Language, multimodality, and beyond,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A survey of efficient reasoning for large rea- soning models: Language, multimodality, and beyond,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.362149Z

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Observation ff515dfc-b3c8-40eb-9c7c-2c2f17d0c781 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.416746Z

Source-reported events for the cited work

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Observation e668699a-9552-4a61-b6c2-557bebeffd57 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Fast Transformer Decoding: One Write-Head is All You Need

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.511994Z

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Unavailable: canonical work link unavailable.

Observation d775b797-b8e8-4dad-8488-9bea4ccd76f2 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications TinyLlama: An Open-Source Small Language Model

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.607957Z

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Observation aa2a1d2e-a869-4b36-a461-6ae4460f00cc · outbound

This paper cites Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.679746Z

Source-reported events for the cited work

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Observation b5b8202f-540d-4ff7-a932-119481073bc3 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.711648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38b02410-53f5-4425-9fa7-5ed93d9a092c · outbound

This paper cites Phi-2: The surprising power of small language models,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Phi-2: The surprising power of small language models,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.751001Z

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Observation 42c0d2b1-e20c-4870-a2c6-8ffbf4ee73c1 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.804609Z

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Observation 64228bae-9a5a-473c-abb4-ad03bf6298cb · outbound

This paper cites TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:52.918015Z

Source-reported events for the cited work

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Observation a3e06b28-b39b-442b-8855-cc8da767b359 · outbound

This paper cites TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:53.147383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1fd29ba-677d-47ce-a29e-8fe9a28ab5a7 · outbound

This paper cites CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:14:07.030867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4bd29c42-97e0-48e2-b23c-2534be9997c4 · outbound

This paper cites Milvus: A purpose-built vector data management system,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Milvus: A purpose-built vector data management system,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:53.625459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8035a6a-924c-4193-a780-9b57974cd870 · outbound

This paper cites Graph database with neo4j and the cypher language: An application in mining companies.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Graph database with neo4j and the cypher language: An application in mining companies

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:53.733821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a69c5e80-8a3e-4c93-bc19-2fd95842f4fc · outbound

This paper cites OpenAI o1 System Card.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications OpenAI o1 System Card

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:53.775749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3255cbaf-3c5a-4931-b98b-69601308ca7f · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Tree of thoughts: Deliberate problem solving with large language models,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:53.851584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be96881-bbbe-4e3b-8f43-0a333ca9d1dc · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models,.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Graph of thoughts: Solving elaborate problems with large language models,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:53.953859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0d619bb-4e6c-442d-b773-cb4498eb0e75 · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:54.009417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e668cdc-c4f2-4fdf-aef9-601db3f45823 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:54.071769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 66126381-c1b3-40d7-a97f-dc35e642c949 · inbound

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UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:57.235285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75942410-a2c8-49a6-86d6-87b1398f1fd2 · inbound

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Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-06T15:56:49.125709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225954ec-00eb-4d81-b7f1-5a6f67d6d263 · inbound

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Robust Model Reconstruction Based on the Topological Understanding of Point Clouds Using Persistent Homology From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:11.780848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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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 f77ae3dc-8cc2-4198-92f5-d34cc2c329cd · inbound

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Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:29.071342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c67fce0-c5f2-4339-9909-c2b90056e3d1 · inbound

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Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T16:20:59.128770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1059d30-c5c3-41e4-a8e1-fd452d8bbff9 · inbound

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Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:37:53.396984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bba5351b-5a0b-49a3-a205-093e983d2942 · inbound

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Agentic AI-RAN Empowering Synergetic Sensing, Communication, Computing, and Control From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T08:36:16.694776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a2331f-97de-45c7-8380-cf66d8572050 · inbound

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Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:51:40.740239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3bc51136-d4e3-4123-9b47-a145903d9d1d · inbound

AgentComm: Semantic Communication for Embodied Agents cites this paper.

AgentComm: Semantic Communication for Embodied Agents From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.312731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 180ced3f-0884-40ac-8b3d-6559b09e6077 · inbound

When Agentic AI Meets Integrated Sensing and Communication cites this paper.

When Agentic AI Meets Integrated Sensing and Communication From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T23:28:05.847222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.