Paper Citation Record · LEDGER

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method

As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 4 inbound Pith citation observations for arXiv:2501.01141.

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

pith.paper-citation-record.v1
2501.01141 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

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measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:06:43.253356Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:15:09.208948Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
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External citation measurements

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Outbound references

Observation 0d5ebe1f-6ec4-49f8-a420-a422a84a965d · outbound

This paper cites A hybrid deep sensor anomaly detection for autonomous vehicles in 6G-V2X environment,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method A hybrid deep sensor anomaly detection for autonomous vehicles in 6G-V2X environment,

Reference 1

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Observation 0076e9bf-ef5a-4f80-a99d-0c53230b7813 · outbound

This paper cites Clouds on the road: A software-deﬁned fog computing framework for intelligent re- source management in vehicular Ad-Hoc networks,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Clouds on the road: A software-deﬁned fog computing framework for intelligent re- source management in vehicular Ad-Hoc networks,

Reference 2

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Observation edd9a065-4c3e-4104-a915-4fb2cb7ecaca · outbound

This paper cites Privacy-preserving and secure distributed data sharing scheme for V ANETs,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Privacy-preserving and secure distributed data sharing scheme for V ANETs,

Reference 3

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Observation d3047d79-5cce-4a3a-a16c-5389eb721401 · outbound

This paper cites Fedagl: A communication-efﬁcient federated vehicular network,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Fedagl: A communication-efﬁcient federated vehicular network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.995119Z

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Observation 2b415e48-2538-45c1-b88a-51effa5a2698 · outbound

This paper cites A reliable physical layer key generation scheme based on RSS and LSTM network in V ANET,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method A reliable physical layer key generation scheme based on RSS and LSTM network in V ANET,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.984048Z

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Observation 6793461d-455f-46e2-83b2-2fc2c08ed08e · outbound

This paper cites Comprehensive survey on machine learning in vehicular network: Technology , applic ations and challenges,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Comprehensive survey on machine learning in vehicular network: Technology , applic ations and challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.973944Z

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Observation 07c33b37-2a83-4104-9aee-69bbe347fa04 · outbound

This paper cites A survey of embodied AI: From simulators to research tasks,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method A survey of embodied AI: From simulators to research tasks,

Reference 7

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Observation 04046914-730b-4d10-808b-bc07cd90a31d · outbound

This paper cites Autonomous vehic les and embedded artiﬁcial intelligence: The challenges of fra ming machine driving decisions,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Autonomous vehic les and embedded artiﬁcial intelligence: The challenges of fra ming machine driving decisions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.952257Z

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Observation 8b07b963-a1e2-4dc8-8df2-7e2f14fb0857 · outbound

This paper cites Generative AI agents with large language model for satellite networks via a mixture of exper ts transmission,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Generative AI agents with large language model for satellite networks via a mixture of exper ts transmission,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.940130Z

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Observation 0724aaca-40ac-4d5f-aef1-f440d12cd420 · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 10

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Observation 595ce876-e448-41d0-8fb0-d7dc0184f88a · outbound

This paper cites Energy efﬁciency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based ap- proach,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Energy efﬁciency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based ap- proach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.928252Z

Source-reported events for the cited work

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Observation 603d3c5a-652d-4aa4-aefd-259815930155 · outbound

This paper cites Generative AI-enabled vehicular networks: Fundamentals, framework, and case study ,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Generative AI-enabled vehicular networks: Fundamentals, framework, and case study ,

Reference 12

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Observation 9c5a8b05-9c68-4bb4-afae-5ca14316db00 · outbound

This paper cites Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning

Reference 13

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Observation 527b2d8d-9ac1-487a-b252-18c07ba93d06 · outbound

This paper cites Interactive ai with retrieval- augmented generation for next generation networking,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Interactive ai with retrieval- augmented generation for next generation networking,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.906285Z

Source-reported events for the cited work

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Observation 0a78ec24-5f1e-491d-b931-051922cba26e · outbound

This paper cites Spectrum sharing in vehicul ar networks based on multi-agent reinforcement learning,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Spectrum sharing in vehicul ar networks based on multi-agent reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.894069Z

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Observation 652957b8-9c4a-4cb0-bbcb-addab6056fa1 · outbound

This paper cites Graph-based resource sharing in vehicular communication,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Graph-based resource sharing in vehicular communication,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.882781Z

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Observation eff9bc78-1faa-464c-b79c-a264a01d32d2 · outbound

This paper cites Cooperative deep reinforcement learning enabled power allocation for packet duplication U RLLC in multi-connectivity vehicular networks,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Cooperative deep reinforcement learning enabled power allocation for packet duplication U RLLC in multi-connectivity vehicular networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.870263Z

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Observation 943234c2-fb33-43bb-b4da-eaa911820c79 · outbound

This paper cites Distributed deep reinforce- ment learning based gradient quantization for federated le arning enabled vehicle edge computing,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Distributed deep reinforce- ment learning based gradient quantization for federated le arning enabled vehicle edge computing,

Reference 18

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Observation c361dfe4-3b72-4969-ac2d-4049afb29ec6 · outbound

This paper cites Secure transmission scheme based on joint radar and communication in mobile vehicular networ ks,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Secure transmission scheme based on joint radar and communication in mobile vehicular networ ks,

Reference 19

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Observation f45c175f-106d-4250-8a4b-b31f3ebe1093 · outbound

This paper cites Habitat: A platform for embodied ai research,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Habitat: A platform for embodied ai research,

Reference 20

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Observation 8cc55ff0-ffcc-42a8-951a-01ead4d29f71 · outbound

This paper cites LLM-planner: Few- shot grounded planning for embodied agents with large langu age models,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method LLM-planner: Few- shot grounded planning for embodied agents with large langu age models,

Reference 21

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Observation d1cdf53a-31e7-40e0-804f-f9b7e35f62dc · outbound

This paper cites Towards efﬁcient LLM grounding for embodied multi-agent collaboration,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Towards efﬁcient LLM grounding for embodied multi-agent collaboration,

Reference 22

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Observation 8bf70d4b-48b7-4f4e-b9da-daef88c001da · outbound

This paper cites ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

Reference 23

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Observation 24f1792f-289e-4b74-87d4-f64a5bbffc06 · outbound

This paper cites BadRobot: Jailbreaking Embodied LLM Agents in the Physical World.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method BadRobot: Jailbreaking Embodied LLM Agents in the Physical World

Reference 24

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This paper cites Contrastive learning-based se- mantic communications,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Contrastive learning-based se- mantic communications,

Reference 25

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Observation 7b5cabbf-b2b1-4aaa-8c7b-af5facbf531c · outbound

This paper cites PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning

Reference 26

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Observation b94efafd-bf21-4d9f-80c8-3a48eaa37b84 · outbound

This paper cites Human-in-the-loop embodied intelligence with interactive simulation environment for surgical robot learning,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Human-in-the-loop embodied intelligence with interactive simulation environment for surgical robot learning,

Reference 27

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Observation d793909b-f1dc-4865-8759-ba8f643fd76b · outbound

This paper cites Simple embodied language learning as a byproduct of meta-reinforcement learning,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Simple embodied language learning as a byproduct of meta-reinforcement learning,

Reference 28

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Observation 5dea9859-d6a6-4c67-92a3-249faeb93190 · outbound

This paper cites True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning

Reference 29

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This paper cites Lte rssi based vehicular lo- calization system in long tunnel environment,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Lte rssi based vehicular lo- calization system in long tunnel environment,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.782425Z

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Observation f952731a-f230-491a-8050-cc923db1a73d · outbound

This paper cites Joint spectrum sharing a nd V2V/V2I task ofﬂoading for vehicular edge computing networ ks based on coalition formation game,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Joint spectrum sharing a nd V2V/V2I task ofﬂoading for vehicular edge computing networ ks based on coalition formation game,

Reference 31

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Observation fef0accc-9708-45a8-bf10-275faa02d72d · outbound

This paper cites Online MEC ofﬂoading for V2V networks,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Online MEC ofﬂoading for V2V networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.759388Z

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Observation c1590e14-b2ab-4471-8e63-7a624d4e9dab · outbound

This paper cites Deep learning enabled semantic communication systems,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Deep learning enabled semantic communication systems,

Reference 33

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Observation 29a3ad2c-87be-4d1d-bcc2-1650b9e41e61 · outbound

This paper cites Biasing federated learning with a new adversarial graph attention network,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Biasing federated learning with a new adversarial graph attention network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.737433Z

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Observation 15700624-e463-4bbd-84ca-cd8a634eb50a · outbound

This paper cites A wireless AI-generated content (AIGC) provisioning framework empowered by semant ic communication,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method A wireless AI-generated content (AIGC) provisioning framework empowered by semant ic communication,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.725554Z

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Observation 86981509-bf58-4eaa-b755-c32e8aeba220 · outbound

This paper cites Psyqoe: Improving quality-of- experience assessment with psychological effects in video stream- ing,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Psyqoe: Improving quality-of- experience assessment with psychological effects in video stream- ing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.713530Z

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Observation e312d7af-fb71-43d7-8405-e196bebb4b48 · outbound

This paper cites Ra-clip: Retrieval augmented contrastive language-image pre-training,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Ra-clip: Retrieval augmented contrastive language-image pre-training,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.702930Z

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Observation 70d54857-cd06-493e-96a1-56fb57e36f12 · outbound

This paper cites Visual instruction tuning,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Visual instruction tuning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.690717Z

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Observation b44414fb-5d04-4a95-870f-58391c96dc11 · outbound

This paper cites Trajectory and communication design for cache-enabled UA Vs in cellular networks: A deep reinforcem ent learning approach,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Trajectory and communication design for cache-enabled UA Vs in cellular networks: A deep reinforcem ent learning approach,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.679700Z

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Observation 31bb7233-f613-42fb-8825-077c0b8fa379 · outbound

This paper cites Constrained update projection approach to safe policy optimization,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Constrained update projection approach to safe policy optimization,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.667928Z

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Observation 07309b8f-267f-4b80-8f7f-0d50b3be99c1 · outbound

This paper cites Dynamic ofﬂoading for multiuser muti- CAP mec networks: A deep reinforcement learning approach,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Dynamic ofﬂoading for multiuser muti- CAP mec networks: A deep reinforcement learning approach,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.655722Z

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Observation e2ee03e5-0330-458f-b9c5-e888d13be450 · outbound

This paper cites Attention is all you need,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Attention is all you need,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.643352Z

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Observation 27ed3f3e-8bb5-4359-9588-e7c21808bad6 · outbound

This paper cites Distributed energy-efﬁcient multi- UA V navigation for long-term communication coverage by dee p reinforcement learning,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Distributed energy-efﬁcient multi- UA V navigation for long-term communication coverage by dee p reinforcement learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.631222Z

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Observation f0ee5444-cb4a-43c6-8d13-5ac1eb6a4078 · outbound

This paper cites Europarl: A parallel corpus for statistical machine translation,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Europarl: A parallel corpus for statistical machine translation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.619722Z

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Observation 7b28f8d0-1a1a-46f9-9090-858a1841bd11 · outbound

This paper cites Improved baselines with visual instruc- tion tuning,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Improved baselines with visual instruc- tion tuning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.608347Z

Source-reported events for the cited work

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Observation 6849a882-26a0-4a2c-b8ad-83d0f3f82d67 · outbound

This paper cites Deep reinforcement learning based aoi minimization for NOMA-enabled integrated satellite-terr estrial networks,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Deep reinforcement learning based aoi minimization for NOMA-enabled integrated satellite-terr estrial networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.597558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce62a5d9-768b-4f34-8a86-44b01c22e5c9 · outbound

This paper cites Joint device scheduling and bandwidth allocation for federated learning over wirel ess networks,.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Joint device scheduling and bandwidth allocation for federated learning over wirel ess networks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:33.585982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3d40631-7c67-41c0-8a26-3b51db244cd9 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:33.355171Z

Source-reported events for the cited work

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Observation b7c37851-813b-4a7a-9406-3d2f47d5a310 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:33.359506Z

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Unavailable: canonical work link unavailable.

Observation 3fe4cea5-65ee-469b-8f34-ecb8b9f460ab · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:33.363796Z

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Observation 38dead33-d021-40c7-ad96-4290f49e0426 · outbound

This paper cites MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases.

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:33.367416Z

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Pith citing papers

Observation 80600b0f-7911-4e27-ab5d-d750559c1574 · inbound

Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach cites this paper.

Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:25:16.375950Z

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Observation ba14076b-1d05-423e-8131-47f67326fdfe · inbound

TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration cites this paper.

TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:06:43.253356Z

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Observation 374ab60a-6136-4604-9864-cbd7d7439ddf · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method

Reference 251

Resolution: unresolved; no resolver link, observed 2026-08-05T16:21:00.483301Z

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Observation b92477df-2f07-4ca7-b885-f765916b4586 · inbound

Exploring LLM in Semantic Communication for V2X Networks cites this paper.

Exploring LLM in Semantic Communication for V2X Networks Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:15:09.210791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.