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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 11 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 2026-08-11T06:34:44.6726+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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:29:33.291130Z digest=sha256:75b18215971d368ad069779b72ecdb206e8f2fdaa652750ee66340e6a289cb1b

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:d08a5554a95d4cdeccf932c3ce503f2eff9639067c8cdbbba0777f62659ef0e2

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=sha256:17e1e1a78367b23996c508576b2082883c5dcfff251af6a08a14f8871736f283

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=sha256:4c6d55678f974fa8b338f9f9c7d5a77ef291061e1558e74815b0a750d19828f6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-01T21:29:33.997626Z digest=sha256:eb36e0ac16f6e0a405125e335b0e3f5b543fe61a10475c2aedf8f8890e5b165e

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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no resolver link, observed 2026-08-01T21:29:34.150230Z

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source=pdf_text observed=2026-08-01T21:29:34.150230Z digest=sha256:adc25fa4d4c77f6e8c4ce34edf75d4b4a256c21c8cc26afcb02521bf62cd1536

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=sha256:9bd227eca2b5740c9c18e1d19a88056f7064f4ee71b8f99f9f1385bc541968ab

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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no resolver link, observed 2026-08-01T21:29:34.613713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:29:34.613713Z digest=sha256:a939f4579b9a806d82cc3ea327a2e9c875b6a079cc0e5aaaf702113f2f5425ae

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:f8daffe21049298672af5e2a2cf19ed2c5510e80a56e5a20de08c77ec32d3aa9

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=sha256:5030c91904fc59778d4c4d15fbcbb66b0842308eb3cf108867f8306054b84b59

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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no resolver link, observed 2026-08-01T21:29:35.084579Z

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source=pdf_text observed=2026-08-01T21:29:35.084579Z digest=sha256:c087e47d4c0b3b0e697cb971ab12cb5b2366add4e3fba2cea02c904aa3b83ae7

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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source=pdf_text observed=2026-08-01T21:29:35.149178Z digest=sha256:ba70b2381917a33808ff510cf8dde457ca3edad7981000d2643e70fdf77f1eec

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=sha256:014789b9825981740f487d72aa14563a55eda2f2cca9881fa3f44b937b037bf6

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=sha256:40f1d88f24cce5533140ff4b288bf7b72254a20437bb975d89ddf198021fd49c

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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no resolver link, observed 2026-08-01T21:29:35.417820Z

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source=pdf_text observed=2026-08-01T21:29:35.417820Z digest=sha256:9b678231bc17d961355f2aa60471578ab41c9186183b26fae849f5b81b6851e0

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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no resolver link, observed 2026-08-01T21:29:35.489238Z

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source=pdf_text observed=2026-08-01T21:29:35.489238Z digest=sha256:603113b4ea9a6bd0db541c6cecfd7a23492df4e1fecd92bc1b04acd0075dcbe0

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=sha256:79f971ebcd6aa4d6e536b692bf35c216f4e70789fb44cd6044debdbda8d00070

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=sha256:054ec8e977bad973a30b3ce2f71697aa5c25e3acc1020e95fd4e58b9b2cdb03b

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=sha256:336fc27207ab2f0de80e4f30bd492e1d6d86ede5833b70a51a9312146a54d916

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=sha256:5a562f986a0ac636e70e4ebe2c2ae391b62243c19b896b16c2848d11486d27b2

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=sha256:2dbdcbd8b2cf49e6762ef7c83a80234420670d4d04f3a6d1285ad53dea04cda8

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=sha256:62204ddf212f197421a769cf95e88f13819b893c0a4a11ccaa2df6d9ecb5612b

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=sha256:2ab01ceb18d66d07e0ed3ae40762f4680c261f88cb3e10e24f6591c2d3d3805f

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=sha256:0c5dbaebd59e6fff06218f0a727fd398b06daa339c02de8719ba77cec014162b

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=sha256:7d02ac6d8590e95aca0c0fc1bebb3c0bc79736f034490b552eeab0337e3ca646

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=sha256:298438613ab2e7f7a06d83a03c234e51f4e0f761981449655036ae5ae03283ea

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:ae13b4e6d787ba69ebacefba1ffb13565cbcf3127c4fcf256e774abad1f5e472

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:da815db6a0cffeca66b7abbb9c9082dfe9a21f2b74be7d0f4a7d6d56317245b1

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:f5d5ed9cc8de025c01bc16cee066c14d45d94285bdd6de3539b25d3809950d1c

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=sha256:8d253f176320833bcd0a139372616ba65314b91dcdd4450d6af486b8613eb8b1

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:ce7589f5bf6cca122591cca96afeb6c16c3309954e2d44a79c3470e0a5c180b1

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=sha256:81cc2e0d4a9e5da6c8309f6154aaf649b83d453b232ff4ee2708262b93417c2e

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:e64b4c2814534227a99097227a5922411fe686666fb02d730dc3b3abe41fe647

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=sha256:0ae5c69c1534f7525c1edf56157a8b743650889718f2667932082078f4a36baa

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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source=pdf_text observed=2026-08-01T21:29:38.270724Z digest=sha256:0c0d892543713eae6818d5c692ec22b7181b963461a7ea4788fbf7d055e04cbf

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=sha256:2e12973e93a43d950b2aef22ea6ded5c5f00274f926b569435b4bde32513a3ce

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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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=sha256:304ce4828babbfb1b7a4761087ed1b88eb947e25ddfd16115855d26f4b9d84d9

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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source=pdf_text observed=2026-08-01T21:29:38.688477Z digest=sha256:abde7ccae859430be8f6e3f251752c06c36c0dd304f39763ecc615d0246699ec

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=sha256:5c3f92f2d417515a592bc83bd54fbd9cddfde71f8d4f7990bfe7cc3093781695

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:cea7fb90e7b8a72d71b34a2bfa4d702dccb48085e41626081e1caab0f7ddaa42

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:faee9afce99c83dfb90242d58a29136fd43683377b5d59c434d00acd58232a93

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:c6745fc8550f2b75c62d31f64b2e8b8e33d9345433c5878fa39ef533ad3b6d84

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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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=sha256:0ef833bb5be610d33bfdc8cce0d130fc12a3bbaefb887cb279361c02bbbf0406

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=sha256:39e33c81b68acb400fc4ac066d6b9e7b9e8845135d7c422f26018f16bc9643a1

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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source=pdf_text observed=2026-08-01T21:29:39.924853Z digest=sha256:d9394bb4116ac16a57a05648bac3b7c6b479667f99467effe0ea70b417484789

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=sha256:94b02665d507f6f78e9d2c30de41aefdc27eff42f5dbbc9be5e5ff4015185162

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:e88d35688e823624e0db4020dc5c1d46ec95f5aeddabd396328c85feb113bee1

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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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=sha256:1cd5f7a0e0cd04438339cbe6d61208ea65d529e8b3d503dfaf4566cd29a96c45

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=sha256:6688a34a452ca8ee1f560c9a0b2a0b559152eb4beb60712cff95b2bfb6014625

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:a3e1647ba4af69c8c1ad207f932fefe54e6863170576c7075ff38ed72992af01

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:dd42caa0fb32b016e39c007e2c4002f625b587782e8dccc59dcccede5b34e645

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:c9d07e9d7baea8ff67753e4987c1cd5a2a4faf2e6758263af9921f4210d04ad4

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:a3b1e4aec219eba192ce299a82f82c3f42b854107c1e855b2cd640b582b5aef8

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=sha256:7560a60054759b09eb6191744da0580d4ac62362fb4f41445d97d2f63b8ccd4c

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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source=pdf_text observed=2026-08-01T21:29:41.271530Z digest=sha256:cdc9ad858e1aa0f4bbd8bd9eedf566ce4db3cb83b939189c6788c885c9302511

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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source=pdf_text observed=2026-08-01T21:29:41.360998Z digest=sha256:b18a79d58c6008a21a7ea5ee35d94af2e3c8b112618008d01e34526c4ca8f5ca

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=sha256:019b8c902d4dd0fb515816d29ef70a36e80ce574a9a5d276c6ddc0a343878884

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=sha256:3abd34e7aa5dd313c47d47c5f5136e1cc7319c9211a6f28bce43221cf6ed8dfc

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=sha256:84977153717c5bfdbbf0011afc9494247c147612306e0184745d5df2b79947c1

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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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:b23dd236c9b422bae2d1e49175aa1ffdae94e62777ff1a09cead050654c7abe0

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:b0fa0fff8475048357a4dab25aa079f8ebfe29bdd84f8ed20652b96358b8e5b1

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:afcbca6ff70e728fea6d66da44a135db61f8721a3098423ed85758f2504e3ca8

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=sha256:550b73f26e364f5953e00e2adecaec30bcd71a46b43a7c14216fff3abeabb4b3

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=sha256:940c21d01eeb5b9df877a91d90d10c9995ea4a344deacd0a1349fbdbdbc65289

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=sha256:2a9110514e1b7ee7b13b3cf70f481e307627ba788d39b658c8cc3d3fd050c85e

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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source=pdf_text observed=2026-08-01T21:29:42.415873Z digest=sha256:fb5545c0c28d9c78ab87079eb588c8a5ddff8c3bb2bad468aca921051a5f90be

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:e763b42fb0340574097243fb9cadbf977b245f2803a165593eaaa3f497364b22

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=sha256:2dcee57099e2b2a903b1a3b44cd9076c281cbda5db822269b318cfbbeabe90b5

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:c2623280ef6525a34a55ac3e0797a1ceb4390c2aa72fc6ac530abbac68267275

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=sha256:395fe37e2e76920411eb2974dee91a29ef207e55df3f4e52888d168a95bfc09e

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:a051b1444a141603c23e651ed9b2b2a72530cbf2e69b13e4d37550552744da80

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:e3b91837161167982caceb5c858907cc41223710cdda63f6eb12c05aa610de38

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=sha256:131bb8d73bda9de362c52fadda75cd5e314a2544343400615caad51eef055fa8

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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no resolver link, observed 2026-08-01T21:29:43.288883Z

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source=pdf_text observed=2026-08-01T21:29:43.288883Z digest=sha256:914b74b0c320374d088002d603c4d841e803320baaddbef2caa9dc441ad6f106

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:a5512aa2fad0b2dd45309842d4e96b14c8937af8978e28eb03139d437ccea209

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=sha256:66aaf0c8f7ad5ee8550db7c1586b28f38c1a235c358a266b6362db3950cfdc0b

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:a92be1083931e0429867160eb982bce8ede4d31b07aa456169e6a7e18ecd9a0c

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=sha256:1958cc9b3e1b125344ffa3c359862a5a096fe63eabe3966205e5f595a80ad625

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=sha256:4f306eb512beb8409ad0b4bceb294215b3c97baf9fffdefcb105bebe47cb420a

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=sha256:182819568816eaa7997ab73388afaf12c93f20a42fb7ff2c0e531d05a673805d

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=sha256:7a2fd84e5d620fa2a8cd37047544decafc5952e910e1c40738861eda46aafe33

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:eb99188c3f222b6bb505d0b5ece180b86b43ac44e82e00e2677378a2f4e38478

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:aed4b032b4621559ec1a50a7e9728049e3ab746b153365a8e69559faf3b70acd

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:ffb0e8ed48121c1cb02e305673c60d42cc9759efe761d389c3431eec26cfe66c

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:fc935b7e53f40902c22bc4bc04882c84a630d0689db73f57cd0534cd44d595b8

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=sha256:2f3e90f5906b689e56681c176a91ce38a450bf2da332c0628b4c221002930c26

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:e45a0ae6e0230bd53bc7f64a6d8a5c785451bdee0e9cbffffa14b0611c25a8cd

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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no resolver link, observed 2026-08-01T21:29:45.220121Z

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source=pdf_text observed=2026-08-01T21:29:45.220121Z digest=sha256:aa8e3a12d78952d5a5dd91030d7ae33f626e04eaeaa0b5a97d87a41d0eba1156

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:d911c134869d64d8d0471e7e339fecab6091e6c5ff7a38db85b26cfe4eb5a212

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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source=pdf_text observed=2026-08-01T21:29:45.554058Z digest=sha256:cec95d2b8ce4e7525bab49721a406cb424e583ef40c9d3ed53821947165aa8c5

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=sha256:7883ca5943df33a438451d8f8eb315af6e1c625d87c41a5b0182fd63aadcd380

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:29:45.878831Z digest=sha256:e1b3d897d34bb2fed04da2168ae9cff091c2cec89df4e98fc8186c30557703ce

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=sha256:6b74748e55bc1d42fe3778245449b37b63f72ba3ba21acfdd722d185243eacd3

Pith citing papers

No inbound Pith citation observations are available.