Pith. sign in

Paper Citation Record · LEDGER

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2506.09512.

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

pith.paper-citation-record.v1
2506.09512 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:49:08.218546Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T00:38:30.267653Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:46:04.085727Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy48
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86c5bc9a-8c49-4a93-8bc3-44b55f188303 · outbound

This paper cites 6g for vehicle-to-everything (v2x) communications: Enabling technologies, challenges, and oppor- tunities,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications 6g for vehicle-to-everything (v2x) communications: Enabling technologies, challenges, and oppor- tunities,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:17.611552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:03.181908Z digest=sha256:1e107bf01d4b7a1e8aa4a548a32e97f23e87f87392efe30e7fbf799f85129f24

Observation 75de7130-e856-4a1e-9e3b-84a267618b52 · outbound

This paper cites Study on new radio (nr) to support non-terrestrial networks,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Study on new radio (nr) to support non-terrestrial networks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:17.283670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:03.259125Z digest=sha256:7b63224fff8c3d60920828b770361345b93c6a4ebfa57f8124ab86d90888f55b

Observation 9860b180-6aef-41d1-8cb4-09d54115c89e · outbound

This paper cites Performance evaluation of the ieee 802.11 p wave communication standard,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Performance evaluation of the ieee 802.11 p wave communication standard,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:17.012497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:03.391426Z digest=sha256:64c32008d30169a0d7c968b24a3d4697d15870522b25fad3907a5787504f4b87

Observation 7a4086f4-de32-4cd2-9556-97c618f3b7a9 · outbound

This paper cites Study on LTE-based vehicle-to-everything (V2X) services,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Study on LTE-based vehicle-to-everything (V2X) services,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:16.771896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:03.516394Z digest=sha256:796de7f9a7845fb7dd0fa366fb74030345d6e42f4475bdfc814f9c6082c207a1

Observation 02aae9e6-544f-461e-ba14-aba2eed4f0fb · outbound

This paper cites Study on NR vehicle-to-everything (V2X); (Re- lease 16),.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Study on NR vehicle-to-everything (V2X); (Re- lease 16),

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:16.511267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:03.624656Z digest=sha256:d2b2d58e203b481eee0386f845f40edf1d3bd9afa74b6fd630878d9ea9416c29

Observation 961cf126-ea7c-44c9-8af3-0872e5e22f6a · outbound

This paper cites Summary for RAN Rel-18 package,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Summary for RAN Rel-18 package,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:16.394038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:03.788953Z digest=sha256:2e26a60ec88a8a696208295ece2959b947d5d13bc85c6b8fdd2c770aa17e2536

Observation ad440016-0522-4930-9d7a-f096785e5cb3 · outbound

This paper cites Toward a 6g ai-native air interface,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Toward a 6g ai-native air interface,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:16.255144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:03.916558Z digest=sha256:cfa2fd5a5abb07b57eb7af12bdd95eac8c801f77917b654abf2b128df360b087

Observation fb99ed09-ccdc-47f8-8f78-7b7c22654b5d · outbound

This paper cites 6g research visions white paper series,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications 6g research visions white paper series,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:16.156070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.079261Z digest=sha256:1d926aabeb04fbbb68d00be3ac281863fbefa0966d4572ea47bd432a0609a861

Observation 64e36db2-e18e-4818-88b6-878daa793c83 · outbound

This paper cites Res6edge: An edge-ai enabled resource sharing scheme for c-v2x communications towards 6g,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Res6edge: An edge-ai enabled resource sharing scheme for c-v2x communications towards 6g,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:16.047164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.104899Z digest=sha256:250863cf4e6c58aa22369f658c67ceb6747298dcf046f8fcde6fa398045e8147

Observation e2254e5a-1ad6-4c14-bdb2-1bf0c8402a14 · outbound

This paper cites Artificial intelli- gence for vehicle-to-everything: A survey,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Artificial intelli- gence for vehicle-to-everything: A survey,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:15.956611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.248488Z digest=sha256:cf7601c5420cec1b3e84f95019b3d7e5a7ad2c50a964d083266bd8c7722c97fb

Observation 30cd41f2-d0e1-4e73-9cc5-7db091cd7a53 · outbound

This paper cites Artificial intelligence and machine learning as key enablers for v2x communications: A comprehensive survey,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Artificial intelligence and machine learning as key enablers for v2x communications: A comprehensive survey,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:15.859241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.356332Z digest=sha256:3a8292496922b27128f9af313770399172d1e866322d03be128ead816761412b

Observation b6e26ad3-dea5-488d-a7da-5036ff6bbfc4 · outbound

This paper cites Application of artificial intelligence in traffic control system of non- autonomous vehicles at signalized road intersection.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Application of artificial intelligence in traffic control system of non- autonomous vehicles at signalized road intersection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:15.751236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.502065Z digest=sha256:6460d476e6388244018b27dfab31e36b8c3c7c14834a88b8798640614eced631

Observation 369993d0-af23-4717-a4a4-9691593d189c · outbound

This paper cites Artifical intelligence: New paradigm in deep space exploration,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Artifical intelligence: New paradigm in deep space exploration,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:15.638656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.616443Z digest=sha256:4e9eef4a89df52ca0ea205e0d970de9059826858de75c3ba9c78602aea20e57b

Observation bf1b7f22-f5b4-448e-91e5-865981f8d01b · outbound

This paper cites Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:15.505834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.737009Z digest=sha256:62ba85e57cb1d7ca2f97ba9373e5e1435f315fe040d19c9630efc3bdcfad6de8

Observation d749e782-acfa-42fb-a680-2d44827e5e5c · outbound

This paper cites Deep reinforcement learning based dynamic reputation policy in 5g based vehicular communication networks,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Deep reinforcement learning based dynamic reputation policy in 5g based vehicular communication networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:15.410398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.796790Z digest=sha256:4721da36276f7774131e94ba84082f9dbc556b23caf335106c0a373a07cdb53a

Observation d0ff5859-15ce-49d8-a4b9-2777f3c1fab0 · outbound

This paper cites Machine learning in vehicular networking: An overview,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Machine learning in vehicular networking: An overview,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:15.220318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:04.908131Z digest=sha256:93088b49b3e57af773ae77008d8304867064409979b6e3072cf6016a9a867726

Observation 9ef20154-ba40-4d04-8d63-f2272ef62be4 · outbound

This paper cites an unresolved cited work.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:49:15.012205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.022484Z digest=sha256:9ce732c4c1c2ed5d2f931eb46d324c142c2e4615d065db4f991fdaa5af56c2e9

Observation 02e3809b-a90a-412e-bd80-9dc82694c8c8 · outbound

This paper cites Evolving artificial neural networks,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Evolving artificial neural networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:14.814512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.105221Z digest=sha256:7e7d6809eed80c920dffe8aae718f97865d8e5e3e2bd7f8f654f1e370ec09ac6

Observation 4ef9e552-8420-40a6-ae16-305d6e6da383 · outbound

This paper cites Deep reinforcement learning for energy-efficient 6g v2x networks,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Deep reinforcement learning for energy-efficient 6g v2x networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:14.680135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.192172Z digest=sha256:5eab5d1e4b8899f25e55a98d60e952c44b61fbb1d988c306ab6b1787c62988c7

Observation c0f4e04e-5321-4e4c-92ad-e882c8b25ba5 · outbound

This paper cites Survey of deep reinforcement learning for motion planning of autonomous vehicles,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Survey of deep reinforcement learning for motion planning of autonomous vehicles,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:14.508620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.286830Z digest=sha256:5e4fd4374bac8412b6909867adc3ff5e54a49a2ca352813eb503d7eb5cfdf0f4

Observation 70fae3c3-6d89-46df-bce0-3a3a65a87f42 · outbound

This paper cites A review on generative adversarial networks: Algorithms, theory, and applications,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications A review on generative adversarial networks: Algorithms, theory, and applications,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:14.306380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.357114Z digest=sha256:532da17f8e8a4c01a2a9641a2592009d1ea3dc741524ced381d4d2e5d48ed765

Observation 285846b9-c8c8-4532-adbd-75de216fc6e9 · outbound

This paper cites Tutorial on Variational Autoencoders.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Tutorial on Variational Autoencoders

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T04:49:05.452545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:05.452545Z digest=sha256:5abb9b09b9bc891666e6aa870ee06f83460eff9febc66968e30ef5e3d9fcbb3f

Observation 34f10ccb-3d9d-46c0-bde8-d2fc6a8ef007 · outbound

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

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Generative ai-enabled vehicular networks: Fundamentals, framework, and case study,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:14.093793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.557002Z digest=sha256:dc8afd728851c8548e472a8199f81dec1690a105d54f1a37fe7b60d2b7913943

Observation f960f485-d527-4e4d-afc2-09c68e1ed41b · outbound

This paper cites A Survey of Large Language Models.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications A Survey of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:49:05.670681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:05.670681Z digest=sha256:f35993baa174be2c5fb9aa8b40cca48ab2b9f7a4edb6a974a77bb0730b014e5c

Observation ed208e29-3929-408d-8265-90a803b13b2e · outbound

This paper cites SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T04:49:05.736798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:05.736798Z digest=sha256:9a96200e1c145a5cbbf3287d9f40cb6f48e896fdbaed9fa1f3c664dcb28f194f

Observation e186828a-f74c-458c-a902-ee6abb911313 · outbound

This paper cites GPT-4 Technical Report.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications GPT-4 Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:49:05.797911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:05.797911Z digest=sha256:f757ffed9b14bf0d2e695c398d2e1bd99b59e00d1c25fd9609f47a3ab280d57c

Observation 478c62a7-c099-44ed-a536-b865fd6b2652 · outbound

This paper cites 6g wireless systems: Vision, requirements, challenges, insights, and opportunities,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications 6g wireless systems: Vision, requirements, challenges, insights, and opportunities,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:13.896608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.886723Z digest=sha256:3ff29a3eae1f856ae1194e79025cea18992bf8cbdb067fd04b84d211420de36e

Observation 7ff470af-20e6-4407-91cc-e3723cac7d97 · outbound

This paper cites Connectgpt: Connect large language models with connected and automated vehicles,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Connectgpt: Connect large language models with connected and automated vehicles,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:13.698740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:05.953000Z digest=sha256:74a76d428bed9953a845216a26af35f3e64b7d16d937913b243512771f816b59

Observation 01c068d2-d865-408c-8ce1-abd90efdceea · outbound

This paper cites Survey of llms and ai agents in v2x: Simulation, analysis & architectures,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Survey of llms and ai agents in v2x: Simulation, analysis & architectures,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:13.452275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.021999Z digest=sha256:d1fe024cfedb6660ac2c597b2e588ff9d1740a69892682739f9120ed268ffe9c

Observation 6e668ec1-7076-44eb-a0fa-e48fda213ef6 · outbound

This paper cites Distributed federated learning for ultra-reliable low-latency vehicular communi- cations,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Distributed federated learning for ultra-reliable low-latency vehicular communi- cations,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:13.156964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.087554Z digest=sha256:0419af400625d81a4b336fef3df3f658ce0430c56f00b5f222be7b88dbe2f08f

Observation ccbd037e-a92d-4c36-9e1c-58a5f0e4a599 · outbound

This paper cites Decentralized identity management and privacy-enhanced federated learning for automotive systems: A novel framework,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Decentralized identity management and privacy-enhanced federated learning for automotive systems: A novel framework,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:12.960219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.160274Z digest=sha256:438362415569aa1b81426aad4f850c70ecd389bb292ae84b797be195d72bca38

Observation 3f157226-603f-4a08-b500-aabc8b143869 · outbound

This paper cites A survey on federated learning in intelligent transportation systems,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications A survey on federated learning in intelligent transportation systems,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:49:06.237817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:06.237817Z digest=sha256:5bbae1331acd3c66a57122047c89e337f4790249c33fd10589a443ac0fa0eeb9

Observation 24ab0d97-23d2-407b-9048-c672a481567b · outbound

This paper cites Integrated networking, caching, and computing for connected vehicles: A deep reinforcement learning approach,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Integrated networking, caching, and computing for connected vehicles: A deep reinforcement learning approach,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:12.625828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.333387Z digest=sha256:293dbf05605ab3b484b328500c3d9ca0daa2d9c9dfd4e568018ef3b22fad8127

Observation cf5ee88d-4d72-4529-9307-8da3ddb946d8 · outbound

This paper cites Graph neural networks and deep reinforcement learning based resource allocation for v2x communications,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Graph neural networks and deep reinforcement learning based resource allocation for v2x communications,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:12.353416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.428260Z digest=sha256:1f7091a57f0303f05a4272c60e1f75bd9f86d3c0c639a1871027cb4e4df15b8a

Observation b45a224b-69a0-4ff4-b719-c17792dae903 · outbound

This paper cites Event-triggered reinforcement learning based joint resource allocation for ultra-reliable low-latency v2x communi- cations,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Event-triggered reinforcement learning based joint resource allocation for ultra-reliable low-latency v2x communi- cations,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:12.064551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.518277Z digest=sha256:258cc452dc4750b9d3ebdd11fda172cad266eb3c7b7b4af08ac637214bc03f02

Observation 7464aa32-5d91-42f5-968b-04b3ac80ddaf · outbound

This paper cites Resource allocation in large language model integrated 6g vehicular networks,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Resource allocation in large language model integrated 6g vehicular networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:11.835055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.605043Z digest=sha256:60827ef7d8d99a73906997b0209acc781a592f1c6c76ebf9719f80298e5363a4

Observation 7faa87a6-4caf-4098-becf-f0fe112c1e87 · outbound

This paper cites Federated learning-based resource allocation for v2x communications,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Federated learning-based resource allocation for v2x communications,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:11.551845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.675583Z digest=sha256:ddfb1ed739204ec7f814334efba5ad323834758d3f1a22348972ea5806bd3eef

Observation 22309fda-ec70-40d4-9663-ba9879746ff9 · outbound

This paper cites Federated learning empowered computation offloading and resource management in 6g-v2x,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Federated learning empowered computation offloading and resource management in 6g-v2x,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:11.323999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.772233Z digest=sha256:95f5b325632ec7d92a981ff80bf823e8461d625c4e9ae36b7da3d21f9db73199

Observation 5ae31ea5-e05e-466e-8099-744f2e909257 · outbound

This paper cites 6G V2X Technologies and Orchestrated Sensing for Autonomous Driving.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications 6G V2X Technologies and Orchestrated Sensing for Autonomous Driving

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:49:08.397604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.859147Z digest=sha256:2558c2dd4ff0dffb7b7bac5f7590e4e91bdf6410c7f757118a529e3312866fd4

Observation effc82fe-f177-483d-8524-8f4f317d1e87 · outbound

This paper cites Multiple-input multiple- output (mimo) radar: Performance issues,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Multiple-input multiple- output (mimo) radar: Performance issues,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:11.133735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.923905Z digest=sha256:5e82e0b2d978d0226a4c57e1e755112b8b3c7ca75ed5ef901261f2097aabaee7

Observation ce844247-ad66-4032-89f4-a81221cc31ff · outbound

This paper cites Deep learning-based channel esti- mation and tracking for millimeter-wave vehicular communications,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Deep learning-based channel esti- mation and tracking for millimeter-wave vehicular communications,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:11.011860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:06.995996Z digest=sha256:d152960ff0e14a55c5c399bb6f4acb27894e072eaf1eb144ab226febe4e57b30

Observation 6895acee-61de-4eef-9cab-a5a9bea80bbb · outbound

This paper cites Federated learning-based joint radar- communication mmwave beamtracking with imperfect csi for v2x communications,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Federated learning-based joint radar- communication mmwave beamtracking with imperfect csi for v2x communications,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:10.841923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.066918Z digest=sha256:3b29a69d5fe05885c3dab604b4cbe09d321e811087ddcba7da53b6b73cf5a768

Observation e1305163-e256-4dc7-a1b8-ff670641ceb2 · outbound

This paper cites Federated learning mm wave beamform- ing for v2x communications with imperfect csi and doppler shift,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Federated learning mm wave beamform- ing for v2x communications with imperfect csi and doppler shift,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:10.633110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.131307Z digest=sha256:28710b022a645c6967a5c320042f27af219ba609ec3edaf7de06086f7a484e0d

Observation b9e286b2-59b6-4255-a500-b413daa4c5f6 · outbound

This paper cites Modern- izing transit: Intelligent traffic and transportation management with artificial intelligence in the era of 5g and 6g,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Modern- izing transit: Intelligent traffic and transportation management with artificial intelligence in the era of 5g and 6g,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:10.456316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.215243Z digest=sha256:c8551268449d0e732bba02ec66c298cd7cb644324dffa6892afd2ffbbaf40d87

Observation 2606618f-c3d0-4467-a639-bff4fcab735f · outbound

This paper cites Advanced traffic demand generation in sumo: Ml-based prediction of flow rate based on real-world measured datasets,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Advanced traffic demand generation in sumo: Ml-based prediction of flow rate based on real-world measured datasets,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:10.287105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.310837Z digest=sha256:03911393d549dabe0fc90f3c7b1d2b1defb124bde71a9d50a4644e913cfd1a7d

Observation de8a7b97-101b-4285-8df0-8af117ad5f74 · outbound

This paper cites Intelligent road network management supported by 6g and deep reinforcement learning,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Intelligent road network management supported by 6g and deep reinforcement learning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:10.125822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.398170Z digest=sha256:3eb517186ef228f65c4533cff06dcf114c26e6bad34f55695834b406f160c60f

Observation 989cab4e-3666-4029-9085-411672e78b7d · outbound

This paper cites Harnessing 6g technology for seamless autonomous vehicle commu- nication and performance enhancement,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Harnessing 6g technology for seamless autonomous vehicle commu- nication and performance enhancement,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:09.943652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.489667Z digest=sha256:01b0ec652f71864f0f4d50c19fd9f7acb3b991475dbcaae84b794d3ae69c22f0

Observation 4f84e3dc-b4be-4c2c-9b27-b659d427f252 · outbound

This paper cites Bfledge: Blockchain based federated edge learning scheme in v2x underlying 6g communications,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Bfledge: Blockchain based federated edge learning scheme in v2x underlying 6g communications,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:09.731377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.613036Z digest=sha256:b2f32f7d039af34bf84437c64f039c4968d90169473b0e6b3be8901151c5a90a

Observation 19a506b1-52a1-48e9-8145-c2964f2b09f9 · outbound

This paper cites Ai-empowered secure data communication in v2x environment with 6g network,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Ai-empowered secure data communication in v2x environment with 6g network,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:09.562804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.730031Z digest=sha256:d67e09db7c5a25ddcd1b76e70cf15f7518bee2ec78cd4b069530d4e7ffc9aafd

Observation 09945d8c-805f-4dd8-943d-c58dd8dd2a11 · outbound

This paper cites Ar- tificial intelligence powered internet of vehicles: securing connected vehicles in 6g,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Ar- tificial intelligence powered internet of vehicles: securing connected vehicles in 6g,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:09.445901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.839963Z digest=sha256:906e30e67962f8d453788724d4d123ad910961b8ab36a4f954169ba927f59dc1

Observation 50117971-9663-48d6-a424-c76fc15d33ff · outbound

This paper cites Towards 6g-enabled internet of vehicles: Security and privacy,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Towards 6g-enabled internet of vehicles: Security and privacy,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:09.271146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.942900Z digest=sha256:7ff79456cfa2478bd1d9da98fd92d23f3ef5db12c98bc640b25666bbaf9e64fc

Observation c34b21d7-2a72-4ff2-aa51-5b658cfbacab · outbound

This paper cites Fedvps: Federated learning for privacy and security of internet of vehicles on non-iid data,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Fedvps: Federated learning for privacy and security of internet of vehicles on non-iid data,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:09.116823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:07.995417Z digest=sha256:fc2fec18b61211ecbed8e7574c6b69bd8485c1d3bb821c04f07a9c121ad6a1ba

Observation 59fd4dd7-6cf6-4603-b26b-f62ae5678210 · outbound

This paper cites Research on network security and privacy protection technology of autonomous vehicle,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Research on network security and privacy protection technology of autonomous vehicle,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:08.984198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:08.079266Z digest=sha256:5ed81552dd3d038e0e41c9c539fce5dd6f519b7e028f8f821866403ef3e1dcfd

Observation 94ff4bfa-0210-479e-8d0d-1d68d2f5e430 · outbound

This paper cites Towards 6g-enabled internet of vehicles: Security and privacy,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Towards 6g-enabled internet of vehicles: Security and privacy,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:08.808433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:08.146802Z digest=sha256:b78dc793db83a710bb6ca05139909fbd02e222daa5b4bd3b078fa421e0e576ad

Observation 20a76404-f74f-4b19-b64c-fbb2dda061e4 · outbound

This paper cites Towards 6g v2x sidelink: Survey of resource allocation-mathematical formulations, challenges, and proposed solu- tions,.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Towards 6g v2x sidelink: Survey of resource allocation-mathematical formulations, challenges, and proposed solu- tions,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:49:08.634883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:49:08.218546Z digest=sha256:d0a934a17d8d69adadec61f56a520612ec43c0757743fcabadbc1cb8b3f837fa

Pith citing papers

Observation 252a93b3-acd3-4a3c-a342-4fb6c1f0549e · inbound

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving cites this paper.

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:46:04.088903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T00:38:30.267653Z digest=sha256:19b918def2ef5343c225c37b434d2a591f4940a548ea330a75913272560ee121