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Paper Citation Record · LEDGER

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2509.04993.

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

pith.paper-citation-record.v1
2509.04993 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:45:07.967210Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:59:16.825042Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ba56485-5c54-4266-810e-53a6a8a9a3ce · outbound

This paper cites Farajzadehet al., ”Self-Evolving Integrated Vertical Heterogeneous Networks,”IEEE Open Journal of the Communications Society, vol.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration Farajzadehet al., ”Self-Evolving Integrated Vertical Heterogeneous Networks,”IEEE Open Journal of the Communications Society, vol

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:09.969236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:45:06.780715Z digest=sha256:79b8ee898570a7f5031f7f611c097d3df956a0d175ed93d19baae5f9a300a0eb

Observation 0e55010f-2e0e-4b30-8fe4-b6b63b573a4c · outbound

This paper cites an unresolved cited work.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:45:09.843336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:45:06.855558Z digest=sha256:a0941234078dd90efbe000ec191ec61fa4616b99bc4f80c3338ea273c1a67d8c

Observation 9eb550c0-eff8-4c31-a8c4-857a9c91f0c9 · outbound

This paper cites Chaccouret al., ”Telecom’s Artificial General Intelli- gence (AGI) Vision: Beyond the GenAI Frontier,”IEEE Network, vol.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration Chaccouret al., ”Telecom’s Artificial General Intelli- gence (AGI) Vision: Beyond the GenAI Frontier,”IEEE Network, vol

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:09.557005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:45:06.933199Z digest=sha256:70b4c6aec493c372ef73e7142b915a280e3c6def0d1920aa317da357d1cbcebb

Observation 62db41d7-6d43-47ad-9e3b-f8bd96b12877 · outbound

This paper cites An LLM Compiler for Parallel Function Calling.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration An LLM Compiler for Parallel Function Calling

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:06.979284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:06.979284Z digest=sha256:93c855be073852bcd2dcd4d0757c1459bf6704abeebb169e93fd34c5a02b5862

Observation 38857d19-de39-4163-993b-32fdf3e8dd34 · outbound

This paper cites Zhaoet al., ”LaMoSC: Large Language Model-Driven Semantic Communication System for Visual Transmis- sion,”IEEE Transactions on Cognitive Communications and Networking, vol.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration Zhaoet al., ”LaMoSC: Large Language Model-Driven Semantic Communication System for Visual Transmis- sion,”IEEE Transactions on Cognitive Communications and Networking, vol

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:09.341380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:45:07.059805Z digest=sha256:e315911fb162c632ca28c8f6fa0eceda122d0e915eeae746d675bd3a90e0c36a

Observation 270225c8-4e31-40c5-a25e-1f007db7ef49 · outbound

This paper cites Chatzistefanidiset al., ”Maestro: LLM-Driven Collab- orative Automation of Intent-Based 6G Networks,”IEEE Networking Letters, 2024.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration Chatzistefanidiset al., ”Maestro: LLM-Driven Collab- orative Automation of Intent-Based 6G Networks,”IEEE Networking Letters, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:09.147299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:45:07.132969Z digest=sha256:026401c28e887c120cac64006c95649f8120247490e331cfd9913726f0ebdc6f

Observation 02b05572-64be-4919-b0cf-ade497a66adf · outbound

This paper cites Xuet al., ”When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment,” IEEE Wireless Communications, vol.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration Xuet al., ”When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment,” IEEE Wireless Communications, vol

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:08.904819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:45:07.273721Z digest=sha256:ae4012444b029adf59761538986d69cc3a2eef68c0d7c866706a14a1f27e7aca

Observation eaa7f0fe-a76f-48eb-bf39-c2bcfc0dddc1 · outbound

This paper cites an unresolved cited work.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:45:08.598736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:45:07.360177Z digest=sha256:a8a705b86c06aba54bdca30afe500bfeedcb98fd60ea07a99c8b94148be5f79f

Observation 2c08a5ea-519a-49ec-97ea-83a5cd788629 · outbound

This paper cites LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:07.474206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:07.474206Z digest=sha256:04caf69f9b8961eebd39eb270dfae912cb9af09f6e3d4cb2b35dde1d4ec3901e

Observation f171c2ee-a583-4505-a55c-9ceb4f5a3722 · outbound

This paper cites MorphAgent: Empowering Agents through Self-Evolving Profiles and Decentralized Collaboration.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration MorphAgent: Empowering Agents through Self-Evolving Profiles and Decentralized Collaboration

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:07.533838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:07.533838Z digest=sha256:e9d9b2f8aa9d456173852db044554a322040fc2d1e5b0d3a8f26d0d21cc18605

Observation 9f739bc9-1953-4f35-809b-ec786a902c5b · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:07.610656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:07.610656Z digest=sha256:b5a76a695afd49ee17f2d8d40dfb7c63f6279c774858cab29b9f889e098398a8

Observation 31c56870-ee7d-4d0b-bada-7ec35b0e89d7 · outbound

This paper cites KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:07.695462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:07.695462Z digest=sha256:1d2c4882ec971253276df455bd7b4b3ea2df01ec67616a66b01a89444773159d

Observation 2bdeb957-c182-4210-9e33-9df3f125b74a · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration ReAct: Synergizing Reasoning and Acting in Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:07.763922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:07.763922Z digest=sha256:8bebdd706290e12afe28fb4a93c2392c733d25433ad307d2bc9234caf87a1439

Observation 2d92365d-671c-4a63-b6e9-d74306dd14dc · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:07.896452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:07.896452Z digest=sha256:01893bc06e483c2bbff952f9cdb38fa70e822bdbf13c461bb0caf0d5ff50f3b2

Observation 10d6b075-a467-4d58-89d1-7a9daa61f595 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:07.967210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:07.967210Z digest=sha256:da06127dedec0b16d6b285abc3fc7da0cbfa3e22a7d7b463b4eec911919c7a75

Pith citing papers

Observation d6f39cff-e5a2-444c-90f8-3e9d1430f4c3 · inbound

Wireless Copilot: An AI-Powered Partner for Navigating Next-Generation Wireless Complexity cites this paper.

Wireless Copilot: An AI-Powered Partner for Navigating Next-Generation Wireless Complexity LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T14:59:16.825042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:59:16.825042Z digest=sha256:ec732bf68c8a3fa75b094c41632521ef9bb58defb3064603bc00bc75c44a382f

Observation cb41add4-7a76-46da-93c6-608ce346e925 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-03T11:01:43.683488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.683488Z digest=sha256:e558b793698e64de33c2bcda617a4a7f93b37e4044fcde9a3a3579f4ea715402