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Paper Citation Record · LEDGER

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization

As of 22 August 2026, this Paper Citation Record lists 100 of 180 outbound references and 0 inbound Pith citation observations for arXiv:2607.16066.

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

pith.paper-citation-record.v1
2607.16066 v1

Coverage vector

measured 100 of 180 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:29:46.087937Z

measured 100 of 100 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 180 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 eb7f0e93-c39a-4b07-ac8e-09c1fcddc846 · outbound

This paper cites Andrews, Stefano Buzzi, Wan Choi, Stephen V.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Andrews, Stefano Buzzi, Wan Choi, Stephen V

Reference 1

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no resolver link, observed 2026-08-01T21:29:33.291130Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:29:33.291130Z digest=sha256:5ae61912d5a7e9167e8bc349580deb3542bacefdfaa130b1c801deed54140825

Observation b4172379-cb9f-46e8-934d-4ea9ab116f5d · outbound

This paper cites A vision of 6g wireless systems: Applications, trends, technologies, and open research problems.IEEE Network, 34(3):134–142, 2020.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A vision of 6g wireless systems: Applications, trends, technologies, and open research problems.IEEE Network, 34(3):134–142, 2020

Reference 2

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no resolver link, observed 2026-08-01T21:29:33.410677Z

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source=pdf_text observed=2026-08-01T21:29:33.410677Z digest=sha256:2cd53cb13a7037a8f46d8505fc1877f4269876c0700c6aa1eb8198eb3039f9da

Observation 87d3687f-ff85-4ee3-b692-3c53163703b0 · outbound

This paper cites Dual self-attention is what you need for model drift detection in 6g networks.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Dual self-attention is what you need for model drift detection in 6g networks

Reference 3

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source=pdf_text observed=2026-08-01T21:29:33.545716Z digest=sha256:7d1343eea477739cd5725e367cce59804cc6b0c992516af3554cc46ae70489f4

Observation 7fc39801-8ddc-448a-a7e5-67c269db7d6d · outbound

This paper cites Ameur, B.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Ameur, B

Reference 4

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source=pdf_text observed=2026-08-01T21:29:33.711897Z digest=sha256:930486b9a0057128dbd906356ad2a093ab4a11c6409da16f0aaa15e59683727c

Observation bc35c94f-e4d0-43d0-ae8e-59b62d08ebb4 · outbound

This paper cites A speculative study on 6g.IEEE Wireless Communications, 27(4):118–125, August 2020.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A speculative study on 6g.IEEE Wireless Communications, 27(4):118–125, August 2020

Reference 5

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verified exact
doi, observed 2026-08-01T21:33:33.299357Z

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.

source=pdf_text observed=2026-08-01T21:29:33.997626Z digest=sha256:080af6abfbe4a05eaf58e2ac1fab96f735ce3a803f7d1263079970a9f0ad43ac

Observation 76ac8a81-2960-42a7-b120-bbcee3e9ed86 · outbound

This paper cites A survey on intent-based networking.IEEE Communications Surveys & Tutorials, 25(1):625–655,.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A survey on intent-based networking.IEEE Communications Surveys & Tutorials, 25(1):625–655,

Reference 6

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source=pdf_text observed=2026-08-01T21:29:34.150230Z digest=sha256:fa0304acc89779ecc4e4f5c1b7f8bbb15223687e0974c996f0a88d05a79e982d

Observation bd54e30b-7d6b-489f-be4a-f7e132e2438c · outbound

This paper cites ETSI GR ZSM 009-3 V1.1.1: Closed-loop automation (part 3).

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization ETSI GR ZSM 009-3 V1.1.1: Closed-loop automation (part 3)

Reference 7

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source=pdf_text observed=2026-08-01T21:29:34.461532Z digest=sha256:f9d10faedf78ac156c3ee00995880504b8140eac865cea81699beeae8b58602f

Observation 4533f470-7008-4acd-a984-3565d4e0795e · outbound

This paper cites Mekrache, A.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Mekrache, A

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T21:29:34.613713Z digest=sha256:17ac67b230e7a14a8fc87504125e3ea489649c66ba62d7f29f1afe4c54789724

Observation 55c3e066-abdc-4cc1-a433-35cbd944f754 · outbound

This paper cites The rise of agentic AI: Implications, concerns, and the path forward.IEEE Intelligent Systems, 40(2):8–14, March 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization The rise of agentic AI: Implications, concerns, and the path forward.IEEE Intelligent Systems, 40(2):8–14, March 2025

Reference 9

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source=pdf_text observed=2026-08-01T21:29:34.791765Z digest=sha256:0d67fc1b561fb85e190bd290f333fb49ac6171ec447c626bcc46d4a210c4790a

Observation 8d8a8fba-6a89-412a-a55a-f8b9f6389d2e · outbound

This paper cites an unresolved cited work.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-01T21:29:34.942753Z digest=sha256:58b63091ded378cfc501324e707a37d38a7e18352e26d57737b8f3db378c9633

Observation 19a3a122-53cb-4d94-8aee-287f7e5908cc · outbound

This paper cites an unresolved cited work.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-01T21:29:35.084579Z digest=sha256:c206ce77c0f213a365f3822117b1756a7c609c4f61aa8fc3948a0cc204cbda8c

Observation 3f16d9b3-4382-452d-aeb3-8e764ded6417 · outbound

This paper cites Jiang et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Jiang et al

Reference 12

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no resolver link, observed 2026-08-01T21:29:35.149178Z

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source=pdf_text observed=2026-08-01T21:29:35.149178Z digest=sha256:f0b30849d89b9b8db8cadd41631b76b7fef116c6609aa83e6b504f994707f4e0

Observation 8e909da1-5341-4581-bf0e-3c1338fda8e3 · outbound

This paper cites Kong et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Kong et al

Reference 13

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no resolver link, observed 2026-08-01T21:29:35.286105Z

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source=pdf_text observed=2026-08-01T21:29:35.286105Z digest=sha256:3957e18854604ef2a2f2512de25aaee61fbebc5fce59ee4b594e677c4c1cced5

Observation 94c748ea-455f-494c-8bd3-d8a28cb667f6 · outbound

This paper cites Long et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Long et al

Reference 14

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no resolver link, observed 2026-08-01T21:29:35.339286Z

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source=pdf_text observed=2026-08-01T21:29:35.339286Z digest=sha256:f4d39cbb576d306e3010249e2ec7d228bc3a5c1f3c71a5f15a7e6c2f10f73565

Observation aa1fcb8f-6ee3-4e65-a9f1-4bf99323714e · outbound

This paper cites Saad et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Saad et al

Reference 15

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source=pdf_text observed=2026-08-01T21:29:35.417820Z digest=sha256:57bdd3dc96e3cc9646b804da254a73eac1feef1a590a7f39d6ab8b02d51aac76

Observation 0ba67e00-398a-40ed-9a69-3941d2993e74 · outbound

This paper cites an unresolved cited work.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-01T21:29:35.489238Z digest=sha256:b96360f40ff55a164a9c61abb8b146425d4286caa313c954d4387125c8de45dd

Observation 36f786a0-fb30-422b-80a9-3952b12d1bb6 · outbound

This paper cites Zhao et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Zhao et al

Reference 17

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no resolver link, observed 2026-08-01T21:29:35.539310Z

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source=pdf_text observed=2026-08-01T21:29:35.539310Z digest=sha256:6294baad2a361f53f460c80d21c7369e1a17e40cdc84f2f94c5f53246412f5f5

Observation 0986e2ef-1dd5-4a1b-9116-4f97b2d2d8b3 · outbound

This paper cites Mohammadi, Y.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Mohammadi, Y

Reference 18

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no resolver link, observed 2026-08-01T21:29:35.709269Z

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source=pdf_text observed=2026-08-01T21:29:35.709269Z digest=sha256:37454eeca93ac8f534af5b63782cc09c450c5bdece061ce91ff02c9cb0400030

Observation 598b991c-4a68-4c6a-a0b6-39d29e914b3d · outbound

This paper cites Zhu et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Zhu et al

Reference 19

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no resolver link, observed 2026-08-01T21:29:35.820060Z

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source=pdf_text observed=2026-08-01T21:29:35.820060Z digest=sha256:6a4412da228b05e3674e7c2a1f9955c68ed22e9915a79ae5ce8e4b3f60ee28ec

Observation ea8d70a1-ce9b-4d9a-80dd-97b828d094fc · outbound

This paper cites Jiang, C.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Jiang, C

Reference 20

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no resolver link, observed 2026-08-01T21:29:35.907807Z

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source=pdf_text observed=2026-08-01T21:29:35.907807Z digest=sha256:548bee959d3b5d9e798891a2c72c04a7c524e3d9e13fcc202146699ba40d632b

Observation a7ff2552-62cf-4460-9540-39278b4d3502 · outbound

This paper cites Masterman, S.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Masterman, S

Reference 21

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no resolver link, observed 2026-08-01T21:29:35.996543Z

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source=pdf_text observed=2026-08-01T21:29:35.996543Z digest=sha256:6720442d4e332e120e6644dc5c8493cd99aa63a5225c6a02897a25ea9de4bc53

Observation 822350f7-6291-4f94-a708-208c24c427c1 · outbound

This paper cites Sapkota, K.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Sapkota, K

Reference 22

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no resolver link, observed 2026-08-01T21:29:36.118666Z

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source=pdf_text observed=2026-08-01T21:29:36.118666Z digest=sha256:5e93d463431f3da1524b99dd7f5333a3acfffd40ee1c58c9bd12616460e1ff01

Observation 02cc9cf5-9d12-4bd2-a23a-fc02f74268c6 · outbound

This paper cites an unresolved cited work.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-01T21:29:36.216958Z digest=sha256:2f7dc1f9a03568c4ba7b642b81beedc2cc837da94af3f53b240dd5bf2a439ef5

Observation f2db45fc-f0d2-40b8-9a1e-b3a46217d63e · outbound

This paper cites Zhang et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Zhang et al

Reference 24

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no resolver link, observed 2026-08-01T21:29:36.337353Z

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source=pdf_text observed=2026-08-01T21:29:36.337353Z digest=sha256:06620e2fc4af8d6fb7bd576cdc31d6615f0d76accae2f23fac628ccc1de5c09a

Observation c73fc4cd-a2b4-4c3d-8900-a2778cafeb98 · outbound

This paper cites Toward 6g networks: Use cases and technologies.IEEE Communications Magazine, 58(3):55–61, 2020.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Toward 6g networks: Use cases and technologies.IEEE Communications Magazine, 58(3):55–61, 2020

Reference 25

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source=pdf_text observed=2026-08-01T21:29:36.428307Z digest=sha256:32efacfb535b8f36e2e64be98b4da9e1cfe450b2ee1995fd7b0637d8acd76be9

Observation 2e1d765f-c74f-4821-a610-1a6a66390a21 · outbound

This paper cites Majid Butt, Istvan Z.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Majid Butt, Istvan Z

Reference 26

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no resolver link, observed 2026-08-01T21:29:36.556524Z

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source=pdf_text observed=2026-08-01T21:29:36.556524Z digest=sha256:067a9af8911cfa41ab97223ecc82b0a7adf6c41e88cd11f3eb7c7bba49053c97

Observation 688b6837-ca69-4542-b045-0363d54eec6a · outbound

This paper cites RAN-CN converged control-plane for 6g cellular networks.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization RAN-CN converged control-plane for 6g cellular networks

Reference 27

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no resolver link, observed 2026-08-01T21:29:36.719114Z

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source=pdf_text observed=2026-08-01T21:29:36.719114Z digest=sha256:4b9cf5c91d6a6b78c769ffe55a473953af94f6bf4a49d7d1cac541b5607604ac

Observation 8c364bc7-0181-4582-9f06-43e9e76baec6 · outbound

This paper cites A survey on open radio access networks: Challenges, research directions, and open source approaches.Sensors, 24 (3):1038, 2024.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A survey on open radio access networks: Challenges, research directions, and open source approaches.Sensors, 24 (3):1038, 2024

Reference 28

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no resolver link, observed 2026-08-01T21:29:36.933191Z

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source=pdf_text observed=2026-08-01T21:29:36.933191Z digest=sha256:c29abc5897fbde8bc86a000c2d37c5373b44080c7e9afd863a5a65361e39e892

Observation 2816fcea-7694-4306-ac3c-f72f34478e67 · outbound

This paper cites A survey of 5g network: Architecture and emerging technologies.IEEE Access, 3:1206–1232, 2015.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A survey of 5g network: Architecture and emerging technologies.IEEE Access, 3:1206–1232, 2015

Reference 29

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no resolver link, observed 2026-08-01T21:29:37.133865Z

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source=pdf_text observed=2026-08-01T21:29:37.133865Z digest=sha256:841d1129169b8ba9ddd80450a1debd729538efc10a97420e4fce74efa91ca9be

Observation e3262abb-f58b-438b-a0e5-1b1444eacaaa · outbound

This paper cites Software defined 5g and 6g networks: A survey.Mobile Networks and Applications, 27(5):1792–1812, 2022.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Software defined 5g and 6g networks: A survey.Mobile Networks and Applications, 27(5):1792–1812, 2022

Reference 30

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no resolver link, observed 2026-08-01T21:29:37.363988Z

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source=pdf_text observed=2026-08-01T21:29:37.363988Z digest=sha256:6e7b575b69bf0df2c422f6e37e34534039d85df44883ab383d6d9f273f299c3f

Observation 1bbe9de0-1f68-46de-b6f9-505eb0185aa4 · outbound

This paper cites Prabha, A.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Prabha, A

Reference 31

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no resolver link, observed 2026-08-01T21:29:37.568775Z

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source=pdf_text observed=2026-08-01T21:29:37.568775Z digest=sha256:894002207fbadf9d58be8811465b078b805462e0ba54d994cfae742c3423f9e7

Observation 1d647ac1-557c-4d1e-9e22-b2f8f393e2e4 · outbound

This paper cites 3GPP 5g core network: An overview and future directions.Array, 2022.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization 3GPP 5g core network: An overview and future directions.Array, 2022

Reference 32

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no resolver link, observed 2026-08-01T21:29:37.714791Z

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source=pdf_text observed=2026-08-01T21:29:37.714791Z digest=sha256:41717f206d1b0b1dded9610bde60e3960364e1fb6f52d385f467e3ad24041eac

Observation 0b069b28-ed41-4f70-8178-f693b42d487a · outbound

This paper cites An in-kernel solution based on XDP for 5g UPF: Design, prototype and performance evaluation.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization An in-kernel solution based on XDP for 5g UPF: Design, prototype and performance evaluation

Reference 33

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no resolver link, observed 2026-08-01T21:29:37.918706Z

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source=pdf_text observed=2026-08-01T21:29:37.918706Z digest=sha256:cfeeed670ba7eb284364ac2704f93b661254ca5eccacf54f38950a530085dfa8

Observation e667b7c2-b925-450f-9bd0-934fb04f7d19 · outbound

This paper cites Mekrache, K.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Mekrache, K

Reference 34

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no resolver link, observed 2026-08-01T21:29:38.133949Z

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source=pdf_text observed=2026-08-01T21:29:38.133949Z digest=sha256:a16085f467001f1b9b44815cdf739dab3e0a52f060b24a1a1a6fe9b941153b84

Observation 2c59d450-75ec-4aec-a5ee-74570a33e2fe · outbound

This paper cites When mlops meets nwdaf to enable autonomous next generation network analytics.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization When mlops meets nwdaf to enable autonomous next generation network analytics

Reference 35

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no resolver link, observed 2026-08-01T21:29:38.270724Z

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source=pdf_text observed=2026-08-01T21:29:38.270724Z digest=sha256:f034cebc0ee8580688336c124e99fe2da6579f5cbf058478540b4751add12ff6

Observation 3bc36e34-668f-4f9b-9883-be9277c54942 · outbound

This paper cites NEFSim: An open experimentation framework utilizing 3GPP’s exposure services.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization NEFSim: An open experimentation framework utilizing 3GPP’s exposure services

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source=pdf_text observed=2026-08-01T21:29:38.351189Z digest=sha256:258948842cf80869c3227a5c2e89e4549a01f4c757a493964caad48880500d81

Observation a2a5feca-20c6-4414-87f2-3850dcd7d048 · outbound

This paper cites A comprehensive analysis of cloud service models: IaaS, PaaS, and SaaS in the context of emerging technologies and trend.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A comprehensive analysis of cloud service models: IaaS, PaaS, and SaaS in the context of emerging technologies and trend

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source=pdf_text observed=2026-08-01T21:29:38.424005Z digest=sha256:48ee51613d7adf0ac12e01a1b7f597f55c87fcb892faa3259141b261ecd3274a

Observation 6d06758b-8b1b-4ce5-81ab-e24a5fddf3b3 · outbound

This paper cites Overview of research trends and challenges in 6g mobile networks and the computing continuum.Scientific and Practical Cyber Security Journal (SPCSJ), 8(4):54–65, 2024.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Overview of research trends and challenges in 6g mobile networks and the computing continuum.Scientific and Practical Cyber Security Journal (SPCSJ), 8(4):54–65, 2024

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source=pdf_text observed=2026-08-01T21:29:38.602502Z digest=sha256:7a60e926a51e42c7549ef05ffdaa5edbe6c73aee1e9e18a13e120cdf0a97f062

Observation 38fb2f24-2021-440f-aecc-2e24c955a6b2 · outbound

This paper cites Zero touch management: A survey of network automation solutions for 5g and 6g networks.IEEE Communications Surveys & Tutorials, 24(4):2535–2578, 2022.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Zero touch management: A survey of network automation solutions for 5g and 6g networks.IEEE Communications Surveys & Tutorials, 24(4):2535–2578, 2022

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Observation 3f40cd6a-df18-4729-95d4-9945d2042b28 · outbound

This paper cites Zero-touch network and service management (ZSM); intent-driven autonomous networks.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Zero-touch network and service management (ZSM); intent-driven autonomous networks

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source=pdf_text observed=2026-08-01T21:29:38.763583Z digest=sha256:616401dff94912a7852d94deb72507e551c97dff02ffbc8afc1c8d5daacbdb9e

Observation 23e6b9ff-6b4a-45d2-83a7-7e52fcd5d273 · outbound

This paper cites Explainable AI (XAI): Core ideas, techniques, and solutions.ACM Computing Surveys, 55(9):1–33, 2023.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Explainable AI (XAI): Core ideas, techniques, and solutions.ACM Computing Surveys, 55(9):1–33, 2023

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source=pdf_text observed=2026-08-01T21:29:38.853864Z digest=sha256:edbea1bb144bafc637660b366387b28efeb75cb9273ff64aef05a50c20bf4e11

Observation a18cd8ae-7f46-4e75-bb39-8c4a10f1b760 · outbound

This paper cites Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms

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Observation 77c2f8f9-8853-4796-bf7c-35e59c77d5fc · outbound

This paper cites Chochliouros et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Chochliouros et al

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source=pdf_text observed=2026-08-01T21:29:39.122008Z digest=sha256:c5c73587b4a657c9038d27d4212defd2b5aa3078c05123a0ee8d5aabb5b31b6e

Observation f618d21a-9a50-4bd2-be5e-fd5daa5aa3e5 · outbound

This paper cites Santos et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Santos et al

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source=pdf_text observed=2026-08-01T21:29:39.289796Z digest=sha256:4a308f28fda9db9c239625a6679698655c94119ba0d3db64283aa44cadce551f

Observation c8aba6bb-b169-4919-849d-1688c8f4e5fa · outbound

This paper cites In-band network telemetry: A survey.Computer Networks, 186:107763, 2021.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization In-band network telemetry: A survey.Computer Networks, 186:107763, 2021

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source=pdf_text observed=2026-08-01T21:29:39.452560Z digest=sha256:3f5243a5d3ab57e118916207d5042548e6a6b56dac8ac193ffb49b878309baaf

Observation 37a6e207-d233-41da-88c7-ff01086ce201 · outbound

This paper cites Ksentini et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Ksentini et al

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source=pdf_text observed=2026-08-01T21:29:39.609462Z digest=sha256:b5b913a2b0c8caf0a49a1e54bc058fe7592eb70d52d285d29529e777183ec101

Observation 5dfd0649-7de1-4693-a46d-ab2bd32b6faf · outbound

This paper cites MLOps as a service for AI-native 6g networks.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization MLOps as a service for AI-native 6g networks

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source=pdf_text observed=2026-08-01T21:29:39.779390Z digest=sha256:4ae65e99001a86ed428940f04a80bc714c821fe578c9ceafab1f44ad6dcb9aea

Observation b7115d70-9d21-47a8-9bb8-6ef28bf7d225 · outbound

This paper cites Vincent Poor, and Shuguang Cui.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Vincent Poor, and Shuguang Cui

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Observation 1db07b4a-4b73-4feb-896b-bb057f4fd204 · outbound

This paper cites Ameur, A.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Ameur, A

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source=pdf_text observed=2026-08-01T21:29:40.111810Z digest=sha256:cfcb512c1afca525101dcc26587d7c1f78b321e7fe497afce904e3f4324ec828

Observation 3d85a1b2-495e-446b-bbc7-0ebc2770a735 · outbound

This paper cites Knowledge distillation and dataset distillation of large language models: Emerging trends, challenges, and future directions.Artificial Intelligence Review, 59(1):17, 2026.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Knowledge distillation and dataset distillation of large language models: Emerging trends, challenges, and future directions.Artificial Intelligence Review, 59(1):17, 2026

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source=pdf_text observed=2026-08-01T21:29:40.260930Z digest=sha256:6502edcca848ec95fbb441efd57229a68caadff39a96cf0bcae10e196777f431

Observation b68aef7f-5c07-4a08-b093-ee7f212781a6 · outbound

This paper cites Explaining anomalies detected by autoencoders using shapley additive explanations.Expert Systems with Applications, 186:115736, 2021.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Explaining anomalies detected by autoencoders using shapley additive explanations.Expert Systems with Applications, 186:115736, 2021

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source=pdf_text observed=2026-08-01T21:29:40.428049Z digest=sha256:1898664dda90af5d1b852462f8202f56fec68fb0085f5c2c96844e57103ceeee

Observation 811edfab-9de5-487c-9458-d63e3bfade5f · outbound

This paper cites Deterministic local interpretable model-agnostic explanations for stable explainability.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Deterministic local interpretable model-agnostic explanations for stable explainability

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Observation 42686984-e97b-450c-96db-e407c6fc6b05 · outbound

This paper cites Mekrache et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Mekrache et al

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source=pdf_text observed=2026-08-01T21:29:40.635208Z digest=sha256:d6725b7dd4b3faec46fa7af9fa1ba592b10ae2b73814ff68f9f96191b7690dc0

Observation cb2b9150-ca49-48bc-92f3-4422b5c15357 · outbound

This paper cites A survey on in-context learning.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A survey on in-context learning

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source=pdf_text observed=2026-08-01T21:29:40.728805Z digest=sha256:acae3b0ce81f88b33bede08f3a4498f944032445f5f8048833c6ce7e10105618

Observation ea6946cb-6729-4218-911d-c0dca8dd087d · outbound

This paper cites How abilities in large language models are affected by supervised fine-tuning data composition.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization How abilities in large language models are affected by supervised fine-tuning data composition

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source=pdf_text observed=2026-08-01T21:29:40.821001Z digest=sha256:aa43cee99a1fbd5412217486c6d87765dd01beace4ac2ea1b2d7e57b202171fb

Observation 46bd6173-4238-42e4-8d6e-661932f6e705 · outbound

This paper cites Jane Qin, Xiaohui Tao, and Fu Lee Wang.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Jane Qin, Xiaohui Tao, and Fu Lee Wang

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source=pdf_text observed=2026-08-01T21:29:40.925779Z digest=sha256:524fd5b4c41f0b67371ed9d59fdad03f4122b24731e50af6e7e9226cc404696f

Observation ad72ff74-a5a0-482b-a623-85deb637bf1e · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization LoRA: Low-rank adaptation of large language models

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source=pdf_text observed=2026-08-01T21:29:41.015152Z digest=sha256:d71483d20dc7c9ac3044374e1fa55a52fe861db8ea78a9bf69abc6cde2c12b7f

Observation f59dc3cc-68da-4bde-92ca-e7f9a7cb1d7f · outbound

This paper cites DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning.arXiv preprint arXiv:cs.CL, 2026.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning.arXiv preprint arXiv:cs.CL, 2026

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source=pdf_text observed=2026-08-01T21:29:41.099942Z digest=sha256:266022a597d59e5bc983bc9c4d543fef60169a1b683279cfcd30a2df027041e7

Observation 95319f74-0a3d-4e83-94d0-5687217d1ee0 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A Survey on Knowledge Distillation of Large Language Models

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source=pdf_text observed=2026-08-01T21:29:41.197861Z digest=sha256:800654fe248550aae72f9e7f50a3b11340003918cf105af5ca57169e6f4dc8e6

Observation 6d0d444d-6c8f-4f2f-a434-73dba76cc1cf · outbound

This paper cites ReFT: Representation finetuning for language models.arXiv preprint arXiv:cs.CL, 2024.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization ReFT: Representation finetuning for language models.arXiv preprint arXiv:cs.CL, 2024

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Observation 7cb494b1-fe11-4fe1-b1df-b37a36d5d6d1 · outbound

This paper cites Large language models are zero-shot reasoners.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Large language models are zero-shot reasoners

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Observation fcb5cbe6-4b19-4d66-a0ed-1ce509cb858a · outbound

This paper cites The unreliability of explanations in few-shot prompting for textual reasoning.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization The unreliability of explanations in few-shot prompting for textual reasoning

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source=pdf_text observed=2026-08-01T21:29:41.439146Z digest=sha256:d31b84e1f5efe7a6894061e9a03cc3d1bfab3d723afb71151b12bf75a277223a

Observation a006fea7-bbea-4f07-91f2-825beed41ca9 · outbound

This paper cites Reasoning for translation: Comparative analysis of chain-of-thought and tree-of-thought prompting for LLM translation.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Reasoning for translation: Comparative analysis of chain-of-thought and tree-of-thought prompting for LLM translation

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source=pdf_text observed=2026-08-01T21:29:41.519531Z digest=sha256:380b6ea19618fbb917cce74d71a4450b4a518b25e9cf8febaf06fa628c397802

Observation 8c77d111-b342-409e-b2fb-1f07c9d0b26b · outbound

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

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Retrieval-augmented generation for knowledge-intensive NLP tasks

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source=pdf_text observed=2026-08-01T21:29:41.620485Z digest=sha256:79e6c49e7499238092955d026404d5bf3804b81b8238b3e7d2e77d758d0a4306

Observation 0d4518c6-0ccc-4314-a513-d460d619016c · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

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Observation a6f88aed-d9e6-4407-aec9-c4030ce85a34 · outbound

This paper cites an unresolved cited work.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Unresolved cited work

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source=pdf_text observed=2026-08-01T21:29:41.783881Z digest=sha256:282108f769954f8b5bd7debf88abe1e748c31c6e6157870d233102ea1daa302a

Observation 8a00a6bb-46cc-4cc3-8706-82fdf90a58f9 · outbound

This paper cites A practical guide to building agents.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A practical guide to building agents

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source=pdf_text observed=2026-08-01T21:29:41.876608Z digest=sha256:ecc76c18eb79629a3640dae44a55e5e28dc11b1fe2d390c6695378e7109e71b3

Observation 100caf7f-67f9-497b-bb80-a0f509c7b7c3 · outbound

This paper cites Building effective AI agents.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Building effective AI agents

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source=pdf_text observed=2026-08-01T21:29:42.007589Z digest=sha256:501f4d389170edff744d1c8c9e4f26fbbeb8354ab4f777eeffc503ce568d79fc

Observation 6216a256-34ee-4512-bc68-4f3f5cb9b939 · outbound

This paper cites Tool learning with foundation models.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Tool learning with foundation models

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source=pdf_text observed=2026-08-01T21:29:42.073146Z digest=sha256:bd4890ceb33d0edd33462b62383ff004066a09ae08d86b55429840d0e74a63a6

Observation 704d7fe1-722a-4d91-8ac2-d4a1914df512 · outbound

This paper cites The evolution of agentic AI: Architecture and workflows for autonomous systems.Journal of Multidisciplinary, 5:418–427, 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization The evolution of agentic AI: Architecture and workflows for autonomous systems.Journal of Multidisciplinary, 5:418–427, 2025

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source=pdf_text observed=2026-08-01T21:29:42.162988Z digest=sha256:be1fc6d6d702a0988e5d058428154f3e655c82e29a635c1901c08f0b5c0f5801

Observation 035d4767-20b6-4e4f-b0d3-abf96989862f · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization ReAct: Synergizing reasoning and acting in language models

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source=pdf_text observed=2026-08-01T21:29:42.248557Z digest=sha256:8a2fb8b5e0749b3886c2b45dac3547b808c0845c21d32d6af6ccf1ab8c5b02a6

Observation b76087c6-c27f-40c5-ac64-a2c3caee48a0 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Generative Agents: Interactive Simulacra of Human Behavior

Reference 72

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source=pdf_text observed=2026-08-01T21:29:42.347869Z digest=sha256:bc316cfe3f0ea594365835b031d84b6ec8ee2eafe3082965c8ab2a73c10ebdf0

Observation 5640e35d-d163-4654-9605-b5c0b2a0f4f6 · outbound

This paper cites Ameur, B.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Ameur, B

Reference 73

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doi, observed 2026-08-01T21:33:33.170963Z

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

source=pdf_text observed=2026-08-01T21:29:42.415873Z digest=sha256:415986f7455f501e1c1848b1f59b27fbd9232718a82236f9034ca3abb819b148

Observation 8a8d9809-e74c-4622-9f2c-6a3f077b7056 · outbound

This paper cites Introspective Tips: Large Language Model for In-Context Decision Making.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Introspective Tips: Large Language Model for In-Context Decision Making

Reference 74

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source=pdf_text observed=2026-08-01T21:29:42.517342Z digest=sha256:85e5286abe821bc71a644addff84f9f819715bfc90e41970533c8e68921a5fb4

Observation 9d31ce8b-7b0f-4f5f-90f5-88649498a6a4 · outbound

This paper cites A survey of agent interoperability protocols: Model context protocol (MCP), agent communication protocol (ACP), agent-to-agent protocol (A2A), and agent network protocol (ANP).

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization A survey of agent interoperability protocols: Model context protocol (MCP), agent communication protocol (ACP), agent-to-agent protocol (A2A), and agent network protocol (ANP)

Reference 75

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source=pdf_text observed=2026-08-01T21:29:42.609569Z digest=sha256:0b895e24685fab0100a317c7fd1fc74ecc7ed0947fdfb8f8a410965b2f44cd1a

Observation ab8606c4-56d0-4f09-a146-8a2c56398205 · outbound

This paper cites an unresolved cited work.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-01T21:29:42.725367Z digest=sha256:321e16a818390c174ebac3d1d24e4cfc8c2a60a424a92443a6d237ef542f3910

Observation c73bba9f-63a9-4933-8044-be9cbdd538a9 · outbound

This paper cites Ameur, B.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Ameur, B

Reference 77

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source=pdf_text observed=2026-08-01T21:29:42.826838Z digest=sha256:e5f65a2ffb03a8bd9a07e74ff8f7211c2bb70a7291c7bfdb1b874823f7fc2cbb

Observation ea864fd7-f37a-417e-9d50-93433cc35381 · outbound

This paper cites Agent network protocol (ANP).

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Agent network protocol (ANP)

Reference 78

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source=pdf_text observed=2026-08-01T21:29:42.902811Z digest=sha256:ed5a4ea77718817a2614a9a0828610573343708ce8844719ad571d3a2578fde5

Observation 68e213a1-c657-4446-a930-5362f57713f6 · outbound

This paper cites Introduction to agent communication protocol (ACP).

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Introduction to agent communication protocol (ACP)

Reference 79

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source=pdf_text observed=2026-08-01T21:29:42.998618Z digest=sha256:5318673a3ba8371e06081cc3a6f7b6e5958c4591e98979a27cd0cd8eda8cd5d4

Observation bee0044f-feb0-4bd7-b782-0350a04d552c · outbound

This paper cites Announcing agent payments protocol (AP2).

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Announcing agent payments protocol (AP2)

Reference 80

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no resolver link, observed 2026-08-01T21:29:43.132052Z

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source=pdf_text observed=2026-08-01T21:29:43.132052Z digest=sha256:000dc3260bb326aab72e5bea44febd04d76ece70a8800f3e3ad61f476c4eb960

Observation 5a71ccc4-3d88-410c-b70b-aba88f427bac · outbound

This paper cites AI-native network APIs: A telco framework for the agent economy.SSRN, (5223311), 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization AI-native network APIs: A telco framework for the agent economy.SSRN, (5223311), 2025

Reference 81

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source=pdf_text observed=2026-08-01T21:29:43.288883Z digest=sha256:00b4bc1344a7274c2366820083a6619f4834767a65e801e9734fb2f5ee5749f3

Observation 7f85c408-32dc-4185-a3f8-f2a230d8c538 · outbound

This paper cites The rise of agentic AI: A review of definitions, frameworks, architectures, applications, evaluation metrics, and challenges.Future Internet, 17(9):404, 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization The rise of agentic AI: A review of definitions, frameworks, architectures, applications, evaluation metrics, and challenges.Future Internet, 17(9):404, 2025

Reference 82

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source=pdf_text observed=2026-08-01T21:29:43.354090Z digest=sha256:d55efd59913982960139bc1e30ad443ba27815bde265ef4d5a95c9b0d5d3382f

Observation 92af0868-652d-4faa-9557-190b53070181 · outbound

This paper cites Vasilakos, and Christos Emmanouilidis.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Vasilakos, and Christos Emmanouilidis

Reference 83

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source=pdf_text observed=2026-08-01T21:29:43.418827Z digest=sha256:3b8dc261ce3a88e75373f5c1a81860e77b76445735fe5c3e78b7a50ffbb677ed

Observation 6f297efa-4f48-46d8-a481-f031281f0355 · outbound

This paper cites Elkael et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Elkael et al

Reference 84

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source=pdf_text observed=2026-08-01T21:29:43.504087Z digest=sha256:0e6368f83580a6325f80c79c3e004f815d61390c506a5540ecf68e0e96337a3c

Observation ea767dbf-976e-45b8-9a88-dd90b17a255f · outbound

This paper cites an unresolved cited work.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Unresolved cited work

Reference 85

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source=pdf_text observed=2026-08-01T21:29:43.610914Z digest=sha256:a2835de4c8d143c7bb48b2e70b04e1d2cb1a9b01102a2d0e1c83222338b0228f

Observation 26b8a0fd-bcb4-48b8-a7df-731998cf6431 · outbound

This paper cites Salan et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Salan et al

Reference 86

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source=pdf_text observed=2026-08-01T21:29:43.716750Z digest=sha256:406e4441a9a5485c0d744033c9985dbf61e02bdfe6a1b668c1fd9671ff86bd83

Observation 6f0912e5-2f9a-47a9-bf02-b680d08ec696 · outbound

This paper cites Kamatani et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Kamatani et al

Reference 87

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source=pdf_text observed=2026-08-01T21:29:43.843529Z digest=sha256:64cb6178aebcd0f134409337c6ee29e953e4703922c5b96116302bd2b8b88dbb

Observation ff633214-9c24-47e6-a8c4-598dcc754bc0 · outbound

This paper cites Towards 6g native-AI edge networks: A semantic-aware and agentic intelligence paradigm.arXiv preprint arXiv:2512.04405, 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Towards 6g native-AI edge networks: A semantic-aware and agentic intelligence paradigm.arXiv preprint arXiv:2512.04405, 2025

Reference 88

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source=pdf_text observed=2026-08-01T21:29:44.017736Z digest=sha256:1a0d00e7f186261b3252e4d102369b3319723a014315a46eadc14336badf933d

Observation 226a898c-0f4c-4178-a97c-94d38b9cfc5e · outbound

This paper cites Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance

Reference 89

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source=pdf_text observed=2026-08-01T21:29:44.163731Z digest=sha256:6a94c24b3a640464de4baabcedb8bb37ac6ce5466b63a7af9ea43579eee23ccd

Observation eead0d37-10d9-4cc2-b6ee-db9368c6aaa2 · outbound

This paper cites Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments

Reference 90

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source=pdf_text observed=2026-08-01T21:29:44.336842Z digest=sha256:9b259e703761f19f8c53a195d8c4048ff67f71f4446b816de73ce020be898d1f

Observation 957763e5-ce7c-4675-9fad-e3e54bcaa006 · outbound

This paper cites 6G-xSec: Explainable edge security for emerging OpenRAN architectures.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization 6G-xSec: Explainable edge security for emerging OpenRAN architectures

Reference 91

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source=pdf_text observed=2026-08-01T21:29:44.522215Z digest=sha256:1dab79c5a895e105a438c056939bb2afbcfd434f28b102f247d4732887813945

Observation 3f696877-db75-49bf-b26c-593f46de5fd1 · outbound

This paper cites Chatzistefanidis et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Chatzistefanidis et al

Reference 92

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source=pdf_text observed=2026-08-01T21:29:44.689512Z digest=sha256:2d767d644e15f3dd36cb0d2a2633d025d2632778eab10442fd798b62631cf6af

Observation 03763f34-794f-43b9-bfb0-54d365184f1b · outbound

This paper cites Towards xapp conflict evaluation with explainable machine learning and causal inference in O-RAN.arXiv preprint arXiv:2510.13031, 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Towards xapp conflict evaluation with explainable machine learning and causal inference in O-RAN.arXiv preprint arXiv:2510.13031, 2025

Reference 93

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source=pdf_text observed=2026-08-01T21:29:44.908826Z digest=sha256:3361304e78cc4033651ecf10dd51ca561f25c656068713620fcc4d5cb5f374e7

Observation 92ce2c69-f02d-42cb-a362-ccc225036e6e · outbound

This paper cites Maxenti et al.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Maxenti et al

Reference 94

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source=pdf_text observed=2026-08-01T21:29:45.081361Z digest=sha256:dac7575c15a52213a40bf56a3eee95bc525daf26391d5e76fa4ad2806f4019fd

Observation 48fc3e2f-8dee-4fb4-84d3-4ff5c2525153 · outbound

This paper cites The LLM as a network operator: A vision for generative AI in the 6g radio access network.arXiv preprint arXiv:cs.NI, 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization The LLM as a network operator: A vision for generative AI in the 6g radio access network.arXiv preprint arXiv:cs.NI, 2025

Reference 95

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source=pdf_text observed=2026-08-01T21:29:45.220121Z digest=sha256:2d6350f077d64d7402b602c47f1b11c89f0501291bd1e21aafd05f6827802c69

Observation 83d3fb45-6443-4fd7-a150-2334c7982fa1 · outbound

This paper cites GenOnet: Generative open xg network simulation with multi-agent LLM and ns-3.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization GenOnet: Generative open xg network simulation with multi-agent LLM and ns-3

Reference 96

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source=pdf_text observed=2026-08-01T21:29:45.384218Z digest=sha256:616bd23f53da8a430bfaf129d1fce36c9fed865f6b57c22da1c3ff7b203cfb51

Observation 5f8dca09-8a56-4762-b19b-4ca196d696e5 · outbound

This paper cites Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows

Reference 97

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no resolver link, observed 2026-08-01T21:29:45.554058Z

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source=pdf_text observed=2026-08-01T21:29:45.554058Z digest=sha256:7af26bcb261949bd4019989403600449bf4e9efabbcf68454420a072e5550972

Observation 86624cdb-0a8c-4acf-adcc-bd839b6d8d71 · outbound

This paper cites Symbiotic agents: A novel paradigm for trustworthy AGI-driven networks.Computer Networks, page 111749, 2025.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization Symbiotic agents: A novel paradigm for trustworthy AGI-driven networks.Computer Networks, page 111749, 2025

Reference 98

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source=pdf_text observed=2026-08-01T21:29:45.732654Z digest=sha256:74b36b7ab684eaf7fdaabf2cfea4089744f64225c0a433d5d168a3e6bc088eea

Observation 89ad23ee-09a4-4326-81f1-45f0104937a3 · outbound

This paper cites SafeServe: Scalable tooling for release safety and push testing in multi-app monetization platforms.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization SafeServe: Scalable tooling for release safety and push testing in multi-app monetization platforms

Reference 99

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:29:45.878831Z digest=sha256:2367ce3ae202b8b22b5eeedc572c8c35ecfa648f83321a6b4ffa03091e0d8e7a

Observation 199513d4-9144-4486-8b43-650d5029113d · outbound

This paper cites LLM-enabled full-stack configuration automation of SDM transport network.

LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization LLM-enabled full-stack configuration automation of SDM transport network

Reference 100

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source=pdf_text observed=2026-08-01T21:29:46.087937Z digest=sha256:5a559ebaf77bbb1f8239feb5c2a66aa8e482716bc759c25f57d01e20bac1dd3c

Pith citing papers

No inbound Pith citation observations are available.