Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 100 of 193 outbound references and 11 inbound Pith citation observations for arXiv:2505.03556.

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

pith.paper-citation-record.v1
2505.03556 v1

Coverage vector

measured 100 of 193 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:24.468664Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:16:58.113592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:28:14.669989Z

Reference resolution

100 of 193 outbound references displayed

verified exact2
verified fuzzy0
unresolved98
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c666f6b-ffb7-4707-9e8f-c3c2e65df4d4 · outbound

This paper cites Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,

Reference 1

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Observation 4dfffe55-1b46-4586-b969-2d7410171d37 · outbound

This paper cites The road towards 6g: A comprehensive survey,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges The road towards 6g: A comprehensive survey,

Reference 2

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Observation e03a5b9d-7baf-421f-8827-c3513c77adf4 · outbound

This paper cites 6g wireless networks: Vision, requirements, architecture, and key technologies,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges 6g wireless networks: Vision, requirements, architecture, and key technologies,

Reference 3

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Observation c0d073da-7526-4511-9142-e228df8d626a · outbound

This paper cites An overview of signal processing techniques for ris/irs-aided wireless systems,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges An overview of signal processing techniques for ris/irs-aided wireless systems,

Reference 4

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Observation 1942ca65-339c-4fb3-be08-06e1b6b236d1 · outbound

This paper cites Non-terrestrial networks in the 6g era: Challenges and opportunities,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Non-terrestrial networks in the 6g era: Challenges and opportunities,

Reference 5

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Observation 4cd45fb9-7a9b-4cda-bed0-e223cb5235a8 · outbound

This paper cites Present and future of terahertz communi- cations,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Present and future of terahertz communi- cations,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.027811Z

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Observation 9435bb29-0b40-4f7f-adf6-a1ee0382b562 · outbound

This paper cites Integrated sensing and communications: Toward dual-functional wire- less networks for 6g and beyond,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Integrated sensing and communications: Toward dual-functional wire- less networks for 6g and beyond,

Reference 7

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Observation 6d2138cc-945c-4cca-a09c-96e1563331ed · outbound

This paper cites Digital twins: A survey on enabling technologies, challenges, trends and future prospects,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Digital twins: A survey on enabling technologies, challenges, trends and future prospects,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.038092Z

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Unavailable: canonical work link unavailable.

Observation 27c5bfb9-97b8-4a1e-a4a7-e06f10b3efa5 · outbound

This paper cites A survey on metaverse: Fundamentals, security, and privacy,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges A survey on metaverse: Fundamentals, security, and privacy,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08651925-6148-4f89-a557-9a2a3df2ebcd · outbound

This paper cites High- dimensional quantum communication: benefits, progress, and future challenges,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges High- dimensional quantum communication: benefits, progress, and future challenges,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.047209Z

Source-reported events for the cited work

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Observation fed32de1-d03b-4234-a751-98f9555be910 · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges 6g wireless communication systems: Applications, requirements, technolo- gies, challenges, and research directions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.051611Z

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Observation 5e965f94-a19d-409b-a676-dfad50d1bab2 · outbound

This paper cites Deep learning in mobile and wire- less networking: A survey,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Deep learning in mobile and wire- less networking: A survey,

Reference 12

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Observation 9a3c33ca-510d-40e8-a029-16edb360a39a · outbound

This paper cites Multi-head dnn-based federated learning for rsrp prediction in 6g wireless communication,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Multi-head dnn-based federated learning for rsrp prediction in 6g wireless communication,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.060688Z

Source-reported events for the cited work

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Observation 5f364aeb-1eb2-40d7-b33f-3bbc7f38d7b6 · outbound

This paper cites Ordinary differential equation-based cnn for channel extrapolation over ris-assisted communication,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Ordinary differential equation-based cnn for channel extrapolation over ris-assisted communication,

Reference 14

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Observation 97d071ab-1442-490e-ad26-b710c4e106b6 · outbound

This paper cites Rcnet: Incorporating struc- tural information into deep rnn for online mimo-ofdm symbol detection with limited training,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Rcnet: Incorporating struc- tural information into deep rnn for online mimo-ofdm symbol detection with limited training,

Reference 15

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Observation 104d2918-c377-4f52-b548-61d7234f811c · outbound

This paper cites Applications of deep reinforcement learning in communications and networking: A survey,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Applications of deep reinforcement learning in communications and networking: A survey,

Reference 16

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Observation c639bbd1-4463-443c-80fb-69a071f67a8c · outbound

This paper cites Cell-free networking for integrated data and energy transfer: Digital twin based double parameterized dqn for energy sustainability,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Cell-free networking for integrated data and energy transfer: Digital twin based double parameterized dqn for energy sustainability,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.078864Z

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Observation 45d23252-ad22-4e05-a29c-b17abe0be843 · outbound

This paper cites Ddpg-based joint resource management for latency minimization in noma-mec networks,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Ddpg-based joint resource management for latency minimization in noma-mec networks,

Reference 18

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Observation 12a83ad5-fa19-4ab0-b696-3cd9c4107fb6 · outbound

This paper cites Performance optimiza- tion for energy-efficient industrial internet of things based on ambient backscatter communication: An a3c-fl approach,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Performance optimiza- tion for energy-efficient industrial internet of things based on ambient backscatter communication: An a3c-fl approach,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.087739Z

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Observation 496b0295-2888-4173-8c3a-b31d9419e4c4 · outbound

This paper cites A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks

Reference 20

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Source-reported events for the cited work

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Observation c04d894e-b7ff-4b4b-bf5c-d4a476e768de · outbound

This paper cites Generative ai for secure physical layer communica- tions: A survey,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Generative ai for secure physical layer communica- tions: A survey,

Reference 21

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Observation bc126750-341d-40bb-bafa-c48ce15ff2fc · outbound

This paper cites Conditional gan empowered channel estimation and pilot design for reconfigurable intelligent surfaces assisted symbiotic radio system,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Conditional gan empowered channel estimation and pilot design for reconfigurable intelligent surfaces assisted symbiotic radio system,

Reference 22

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Observation e9315a67-1c42-4ff8-a6cd-f6956de0d578 · outbound

This paper cites Generative Semantic Communication: Diffusion Models Beyond Bit Recovery.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Generative Semantic Communication: Diffusion Models Beyond Bit Recovery

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.106706Z

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Observation 6cbd4c8b-773e-431e-9e95-062cd44b57c4 · outbound

This paper cites Semantic communica- tion with adaptive universal transformer,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Semantic communica- tion with adaptive universal transformer,

Reference 24

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Observation 36fa3222-9612-4dfc-a5bb-6a93bb6f4c51 · outbound

This paper cites On the Challenges and Opportunities in Generative AI.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges On the Challenges and Opportunities in Generative AI

Reference 25

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Source-reported events for the cited work

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Observation 12700557-5da8-4103-81b8-c960a1375fae · outbound

This paper cites Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:50:26.297429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c6b2c14-31b8-4246-b25c-b0c8abd7e68e · outbound

This paper cites GPT-4 Technical Report.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges GPT-4 Technical Report

Reference 27

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Observation dd097763-c590-455c-908a-842d6486eeda · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 28

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Observation 7bd44994-fb48-44f1-94a5-591d2032d185 · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges LLaMA: Open and Efficient Foundation Language Models

Reference 29

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Observation dbe20417-6367-4038-95d4-06eeaea580a6 · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Gemini: A Family of Highly Capable Multimodal Models

Reference 30

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Observation 8abf2ae0-3e82-4e11-b2cc-8ad8f1a45b8b · outbound

This paper cites Hint-enhanced in-context learning wakes large language models up for knowledge-intensive tasks,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Hint-enhanced in-context learning wakes large language models up for knowledge-intensive tasks,

Reference 31

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Observation 72357fb2-361d-48f8-a47d-e02819ed64da · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Chain-of-thought prompting elicits reasoning in large language models,

Reference 32

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Observation 0c2d33e1-c851-4a2b-b955-37fb5aa3ae7f · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 33

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Observation 533c515f-e01b-4a10-a83b-e202b879f8e5 · outbound

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large language models empowered autonomous edge ai for connected intelligence,

Reference 34

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Observation 7baac3b8-e9a3-4d24-b510-f322283cf1ec · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models

Reference 35

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Observation c2cb3d98-be24-4bea-bbb6-1aa593abe207 · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges RLHF Workflow: From Reward Modeling to Online RLHF

Reference 36

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large ai model-based semantic communications,

Reference 37

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This paper cites Generative ai for space-air-ground integrated networks,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Generative ai for space-air-ground integrated networks,

Reference 38

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Observation 29c0dba7-f543-474d-906d-db0be0e4567d · outbound

This paper cites Lambo: Large ai model empowered edge intelligence,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Lambo: Large ai model empowered edge intelligence,

Reference 39

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Observation f194781e-09f1-46a2-b682-ffed0f314f9e · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large language model enhanced multi-agent systems for 6g communications,

Reference 40

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Observation aefc8a98-d775-46f7-bd51-526ed5dd0519 · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Big ai models for 6g wireless net- works: Opportunities, challenges, and research directions,

Reference 41

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Observation 3e0324ce-c42b-4177-b4ec-1bf8246a57b0 · outbound

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

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large language models for networking: Applications, enabling techniques, and challenges,

Reference 42

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Observation 65b09ff8-32cf-42de-b1d3-f0c3497f5a97 · outbound

This paper cites Large generative ai models for telecom: The next big thing?.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large generative ai models for telecom: The next big thing?

Reference 43

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Observation 75f724aa-451c-4804-ab88-79e799334e43 · outbound

This paper cites Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,

Reference 44

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Source-reported events for the cited work

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Observation 94b4e512-cc71-42c6-9aa8-0d22b90008fc · outbound

This paper cites Generative ai-driven semantic communication networks: Architecture, technologies, and applications,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Generative ai-driven semantic communication networks: Architecture, technologies, and applications,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.213387Z

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Observation 9f512e3a-b55a-4bb0-97e4-20daf2455c6f · outbound

This paper cites Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.218011Z

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Observation ed7f7947-e7b3-47a5-a3a1-c441f11331be · outbound

This paper cites A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.222880Z

Source-reported events for the cited work

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Observation cb720d28-b291-47f1-b9db-4570b9c6101f · outbound

This paper cites Mobile edge intelligence for large language models: A contemporary survey,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Mobile edge intelligence for large language models: A contemporary survey,

Reference 48

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Source-reported events for the cited work

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Observation 5fdf1329-29b8-404f-b505-90a3b2f74cb6 · outbound

This paper cites At the dawn of generative ai era: A tutorial- cum-survey on new frontiers in 6g wireless intelligence,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges At the dawn of generative ai era: A tutorial- cum-survey on new frontiers in 6g wireless intelligence,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.231943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f757b5-720d-471c-8c4a-fd5c6d7098ee · outbound

This paper cites Attention is all you need,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Attention is all you need,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.236367Z

Source-reported events for the cited work

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Observation bd2a897e-decf-4cb2-9c2a-c8655cf5766a · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.240990Z

Source-reported events for the cited work

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Observation 4455ce05-070d-4533-ac5f-baefdc87f7f1 · outbound

This paper cites Transformer-empowered 6g intelligent networks: From massive mimo processing to semantic communication,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Transformer-empowered 6g intelligent networks: From massive mimo processing to semantic communication,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.245897Z

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Observation 2d1e6814-4d09-4cea-ae00-f43ecd9b8fb7 · outbound

This paper cites Demo: Real-time semantic communications with a vision transformer,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Demo: Real-time semantic communications with a vision transformer,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.250385Z

Source-reported events for the cited work

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Observation 90f4674e-de02-4d61-9392-b4da404c1261 · outbound

This paper cites Transformer-aided wireless image transmission with channel feedback,.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Transformer-aided wireless image transmission with channel feedback,

Reference 54

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Deep unsupervised learning using nonequilibrium thermodynamics,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large Generative Model Assisted 3D Semantic Communication

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Enhancing deep rein- forcement learning: A tutorial on generative diffusion models in network optimization,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Cddm: Channel denoising diffusion models for wireless communications,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Dm-mimo: Diffusion models for robust semantic communications over mimo channels,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Rf-diffusion: Radio signal generation via time-frequency diffusion,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Dif- fusion models for audio semantic communication,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges St-mamba: Spatial- temporal mamba for traffic flow estimation recovery using limited data,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Vimsc: Ro- bust underwater acoustic image semantic communication based on vision mamba model,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges A Review of Multi-Modal Large Language and Vision Models

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges A survey on llm-generated text detection: Necessity, methods, and future directions,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Improving language understanding by generative pre-training,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Language models are unsupervised multitask learners,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Language models are few-shot learners,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Gemma: Open Models Based on Gemini Research and Technology

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Gemma 2: Improving Open Language Models at a Practical Size

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Llama 2: Open Foundation and Fine-Tuned Chat Models

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges The Llama 3 Herd of Models

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large ai model empowered multimodal semantic communications,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Semantic communications using foundation models: Design approaches and open issues,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges On the uses of large language models to design end-to-end learning semantic communication,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges When large language model agents meet 6g networks: Perception, grounding, and alignment,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Segment Anything for Videos: A Systematic Survey

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Vision-language models for vision tasks: A survey,

Reference 81

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Meta-Transformer: A Unified Framework for Multimodal Learning

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Segment anything,

Reference 84

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Emerging properties in self-supervised vision transformers,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges DINOv2: Learning Robust Visual Features without Supervision

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges High- resolution image synthesis with latent diffusion models,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Scaling rectified flow transformers for high-resolution image synthesis,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Segment Anything Meets Semantic Communication

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Multimodal large language models: A survey,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Any-to-any generation via composable diffusion,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Codi-2: In-context interleaved and interactive any-to-any generation,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Imagebind: One embedding space to bind them all,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Latency-aware generative semantic communications with pre-trained diffusion models,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Learning a world model with multitimescale memory augmentation,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Enhance sample efficiency and robustness of end-to-end urban autonomous driving via semantic masked world model,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27,

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A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Artificial general intelligence (agi)-native wireless systems: A journey beyond 6g,

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Resolution: verified exact; arxiv_id, observed 2026-05-20T11:28:14.671748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.