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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 3 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 2026-08-03T06:30:56.289259+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=sha256:8021f6ea912fa18ceaeed403457f1a3e10c594497cd5031d37bd9d3f07e3dbb5

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:dd67947538a8c8c008b9fd4a9f99a4b5def267b7fc7152cb82b08036689e9602

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=sha256:67eac2c42f5c3ea1ca189583e534c7b0a72733d29eb5037026251c1fdcd8b846

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=sha256:19fd67a55466e17fcf28f1789adc42c3211f8345742676f7c2b7a3ce6d35a6dc

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-08-01T21:29:33.997626Z digest=sha256:aa72be22df29b8841c199faf6a702ff687c6931f78420a9e9aa0c98cb61e3b4d

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=sha256:8b267e59146d0efc80da58dc08d47e6711ea23684a157363dfe013a84c5fa721

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=sha256:764e6e4fef909cfaebcde4a3f26f002612fcf6fb5151fffd39956c606086c196

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=pdf_text observed=2026-08-01T21:29:34.613713Z digest=sha256:c7f65796711e1458f16925935248ea3ff1f0cf41f7c34673f9ef46f2aac4532d

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:b1d20b5883b884726046fc1fe3f50aa075dffa77afda179f3dc664f67f6853ba

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:c81ee6045ef609878080a14bd1e26ae5f87665633c6598661fc1f802bf46a211

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:b69e99b9072e49a31cec591f6529e45690b77261ab614a9d6d2e9ea7c7729aae

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:d1bdf88eddbd4338bcf8cb1997c3214293c0f1cc8b73b73c0c15cd2f9203aa46

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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source=pdf_text observed=2026-08-01T21:29:35.286105Z digest=sha256:c5c9c68585f4f236eaa4235e2ce18de18c4ce70a16c5fedddc774449f380be8d

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=sha256:0e0c60e2e308767ea8399cd01379b1c1cec47064eac59a593889e7d41b32225c

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=sha256:3b4807de5be94a4c68d61b22a739ba6ff56c3e3907a89c31e71bb78209274891

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=sha256:2bc3e69541b7406df6fdaddc76785e77c8f3d5bc2c311ca375ebc5575caf159e

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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source=pdf_text observed=2026-08-01T21:29:35.539310Z digest=sha256:e47a74daa2b5a6cf70b36da10f84add87fd6fb0363dc8402578a7115c50d238b

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=sha256:640ae538990b7ed046b82ff3f2e090a3b5e4491cce010c69368977bcf1f8cedf

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=sha256:212f6aff977a91859c91b8f3bd723ca61e9118fc73f282c40d9774cce0f7531d

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=sha256:2e86eeca48bd25a7f8587e67bd3dfb5551e752148e5915945da9d40adbb55191

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=sha256:99134b5b59c351171cf01c182937645f612d1cd77cf3b6b2291c82d67839ec9a

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=sha256:1f790df08a736476d25c8e56a11cde4e04f9b4a56e21420de641d46d624f640e

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=sha256:8ebbd12bd3f24bf9759b0ec0b8cda50d283ccbd5b0bafed8a40376c34719cb16

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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source=pdf_text observed=2026-08-01T21:29:36.337353Z digest=sha256:c3028f8f46659df30a141e92ab80d567e7b25098b2da9853ac71011c086bff1b

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=sha256:45e53c993afaed968694cb890f099deb8461588bebc4746bda7d4c90108185e6

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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source=pdf_text observed=2026-08-01T21:29:36.556524Z digest=sha256:3b59599fd9f0efb36ab606645f03bb3067d4a7fb25747b9b23761014be5c1073

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=sha256:17a96221f816955457c69995e94ccead8a9ef8ee403e2f9058bbad74f7dce325

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=sha256:135f34649ffef2b862467536c48744c3c15693ac6cca76cbae532879cd60ee17

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:f2d42362c59c25b8178b2cd7e79cf3be34c7399fcbd9d2e771a4f0e5b101ea14

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=sha256:1e96e3314c0dccfd7deefcb43838e6c8063b6bc8ade2e632cea01d903d7013f0

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=sha256:9093a79b4d00d1eddf62a75f923efff5a47142eebb1ec19c79a912bcc68d41ab

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=sha256:29ed6d6c13e5df97570a6037cc64ddf0ef789d8c999c55373831ce6ef31e1c81

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:e4040daf3a6d0296ad7f8c470f83124dc80f92129e3649c5faaaee1e83a42fc7

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=sha256:38963bc22b90eebf4e4e7134976fdbf6a065d8ca6060372058c94654f1855b9a

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:c8cfaebff222b176d92cae794808054ab4a7d2a135a080400fcab4a7f7abff57

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=sha256:5268be47d52bad2bbc4ebb51a675a65b4f9d41a23aa9ac12954e66f2c13b6e45

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=sha256:0e41a8064060840f28b6d96d0fa2481eefbb69fd1778e9d4fbc91aa22b64d629

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:ca5ee3d252158e16d7372a7866a55f01b022ec03bdc742dd1980a3a6993c9114

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=sha256:42cb9a2d5eb8a607697b06dfe7ecc53c23f03027d86b24fa748cc3a1819b217d

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=sha256:407cf5be41effa6d04f1e95339589cf12ca200474c1eb9808b4d8f9ec7ef744b

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=sha256:76e7aea2e1c49d3a4375a0e68ac31783fe48ce20097c0ab8faad19c49e0dfd44

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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source=pdf_text observed=2026-08-01T21:29:38.958020Z digest=sha256:741c45d5e1154f1f129052b631853712868fca64918709db2870f68f9989234f

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=sha256:703b2395ea91e5dfe663ae9641b68dfbbd7fc1f3f23fb2d53a913969524be2c8

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=sha256:73347f50b40e6a53e9df527d8dcccfc7d4ed282a15fcc3599df1790d87566fb2

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:ba997c64f468119a5707ab279a2f6572f142f6f3adcca02837b0add6543bd280

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=sha256:1c2b81e7bcc93e91de8969e34552184e1a2f08650bbcbd65a8f5d1b806028d73

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=sha256:1069478240ffe6be20ff7b1ce3e9e3c2d475f01b91bf9fab7e92c667edda6fbf

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=sha256:00f6a959e79e4dda1a376e5657e1dbfba17bb1551500e89f09b3c90a314e0cdb

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:c4e383e2134c17ae2dac3841325cc47fd60871bd3800795fdb4d6df75d5fa122

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:f66383b6825cbd833b64c3aae35244bd78bd941a190c501cf34701a19ccb4292

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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source=pdf_text observed=2026-08-01T21:29:40.542363Z digest=sha256:2f18e8adac76e0d69f5ca194e2341084e52ba6a3820dcf45e289fc69cc2076c6

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=sha256:96b2b524aadf20485065aa848932ea79920bd2b39a85fcd3caeca38300e873d5

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:c23706ed5ec76d0436e7e49ce016e4b833cfb1d2529befc18e21c49d0cfd60e9

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:d0eaf2341dfd7e84b67e7b893007cffd01fb25cf50d9fe04c56aa651701316bf

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=sha256:25f2b034a23e3e303192cda03158bb3372b6c2ba7176e96cfbee7994050d1226

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=sha256:1b2eab85f78ea73213420dbc26f981016235455123e2c71b31b195d2f99179eb

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:f3d4900fb7c2abdf78fdca43cf6e396c73a47c9f7d30528aed6afc4a808c98e3

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=sha256:5b438802a4a35c40f7f62835708b24e7eb2b359ea5cdf5e896ea13991095918f

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=sha256:5d2b502ae39a8a2ec9621219eb9da8caff8ed84763d44375be73d195e5aa2892

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:e5b76c2477204887f844dc050814193f4327c3c29f6d56d3770f16469d8d923f

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:c08880a752f878072148216e786d08e38000fef5d62cf3cab99f7f4281fbf9c4

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=sha256:75b0d2a7063cdad056f7232e4519170ad2755ff23222191a7e003763e82ba419

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=sha256:36e1ac76d1bcffb627ba1deeb07178391cf3765723446e5bacb96e76d5dffeaf

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=sha256:0290611e02453e63f69c74b73d6cf9f0d6ac4dfac406b6dd6bdb94af92ece9d3

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=sha256:778fa06d2209f5c35cbfe2c07f7e090f5e72a7afddf4bbba8fb796bfb4ce9a4f

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:c106337e79c51d211d322bf73461f200eb8b9f9689c3af80d82a78d4f1d1b96d

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=sha256:0b2d13b8fc0db71464650a5637c542a3fdd2d84ca2d97c1c21f2bc11304e44a6

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=sha256:72a87f411992f58876b59e4e4fc22a23485aa22eb6c2612abc59d2a1d6440b9d

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=sha256:1e485b738ffd491fc885834f510a24fe795aafcf3c18105a96a7c8a27a9ef79e

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=sha256:11f85ee7043d3bd648bd8e963d9350abb6fb9176301fdadcb0e9e60128c89a5b

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:e3b734f502d504e4a817fd657cf20ebf3552ace3b0414ae528b6e723c206f2bc

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:fef2d1ef6ca7d4d56608f279a0b19e1549bba732fdbbc7f40371d6282753d87b

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:b38c98252fcc272f202492d72d6fb1431af4cc7e528648dc7da3eef7ec1e85de

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=sha256:69b7f63072db0837ab8ba12c4641037523fab1bbbf88535b218e27383e373d09

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=sha256:88a24e46befe2cb5b51cf6eb101786022598032ce7d427d67a84e3da0939fb12

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=sha256:2fdb69934a60540ae64af9bac64b12c3ec25caa770415ee6bd5fd5304fe2e157

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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source=pdf_text observed=2026-08-01T21:29:43.132052Z digest=sha256:10ace392e82842f5b820dbf251b07570020c5919ee241cc8c129993e2f4f3bb4

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=sha256:951f3b1fccfd4cc2cc80f139a738813c03fbc17db66fd0bc39fc3f2b3a1a3751

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:c7242f2a4a557d4b20159549e3401077149e96a4040b302ddfb72b3905cf01be

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=sha256:2df25c9aed1f04311088f88a764fa596c13d46ad79580bade9a016b3ad80e890

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=sha256:8cf9fd87bf92fa5d974abbe5996fa1d4038cd36fee22c184112791579eaa1b18

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=sha256:7d6d3ce51027ae19d6551fa10462b25c86f5f17bf54fc70bf28785ab9efa87d5

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:b25abc8c0607162ef678f25e742c1765e3638e46d77641d4ff76d6eb3c0c3a08

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:bc707f0d36ec9aef3d65aa9e000a000b6586fc4ab1f4f6fa8b0baf23a51e5869

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=sha256:18a0bfbd5f9d16f8bfcf365eb193ad674d3df49d22f80995c7457857bfeb1e0e

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=sha256:9f14e97605c07bfafd5c8787c7eb0b4ebfa8b7f263178995c13cd60ba25b1704

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=sha256:6d679c27fb6134d1020ff27416444e3c91c2795bd57b000bc5718510022a898a

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:b87f8d785e8d3da9d78d31c2af850a554bfc4321c22a42dc76259f1549f6b115

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:ea46164535e55f6ba174efbd469d340e5bb5ed06895ce11a73ce4c855676bab0

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:d264323b31a9a847467707c74567400800c6fa857cfeb28040c7e0d3a61872a7

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=sha256:5dd117b4c06b56b1aaac0623505294254f4c76898fb74daedbe13f9900d92b0e

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:fd846479a3526f4200813d3237e65718558d6bf4623d5d65e915ffd0f3b7b872

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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no resolver link, observed 2026-08-01T21:29:45.384218Z

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source=pdf_text observed=2026-08-01T21:29:45.384218Z digest=sha256:ebbaa146f792ec9b1c8c7e563de28caf8c88c2940b66c309e24e3d422f967c95

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=sha256:579cab5b83de50c1bb2bb2891bee43759b061cfe7b96b63eee83cc052465b39c

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=sha256:5811d4ee80dccef2de640af39b7407f00f6f7ab181ba606469e87a12750d2e14

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

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source=pdf_text observed=2026-08-01T21:29:45.878831Z digest=sha256:a586f21291a3604a6e7ac2d4ce2349e79953bb9654714fb57e9f74a4a975663f

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:a85becb6badb15fbc85b88ed372f9942fab7bddf4b8192580e3c83855973a84c

Pith citing papers

No inbound Pith citation observations are available.