Paper Citation Record · LEDGER

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

As of 7 August 2026, this Paper Citation Record lists 100 of 177 outbound references and 6 inbound Pith citation observations for arXiv:2507.00672.

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

pith.paper-citation-record.v1
2507.00672 v1

Coverage vector

measured 100 of 177 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:14.844486Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:12:28.940425Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:43:32.793691Z

Reference resolution

100 of 177 outbound references displayed

verified exact8
verified fuzzy0
unresolved92
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efc39e6c-2146-45f1-ad91-b06cfc5cf20b · outbound

This paper cites Espd-lp: Edge service pre- deployment based on location prediction in mec,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Espd-lp: Edge service pre- deployment based on location prediction in mec,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.614576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69945a45-c37d-4428-bcd2-a1ce311ff2a6 · outbound

This paper cites Towards edge general intelligence via large language models: Opportunities and challenges,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Towards edge general intelligence via large language models: Opportunities and challenges,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.617977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c995fd9-a6ad-402d-a58e-b5cac5f2619e · outbound

This paper cites Edge intelligence: The confluence of edge computing and artificial intelligence,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Edge intelligence: The confluence of edge computing and artificial intelligence,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.621442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a0cef3-83df-4b7b-a1a1-4c0866999820 · outbound

This paper cites Generative ai in cybersecurity: A comprehensive review of llm applications and vulnerabilities,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Generative ai in cybersecurity: A comprehensive review of llm applications and vulnerabilities,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.623966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e46c0bca-75ba-4d57-9d00-e09625d524a7 · outbound

This paper cites Generative ai-driven semantic communication networks: Architecture, technologies and applications,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Generative ai-driven semantic communication networks: Architecture, technologies and applications,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.626205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6860f24b-372c-44a4-a042-1101aa69425b · outbound

This paper cites A survey on applications of large language model-driven digital twins for intelligent network optimization,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A survey on applications of large language model-driven digital twins for intelligent network optimization,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.628521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aea3ad2-08f7-43ed-b283-c52df6e895ef · outbound

This paper cites A survey on evaluation of large language models,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A survey on evaluation of large language models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.631034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2f90f24-0392-47f2-9955-cc1ba26ceea4 · outbound

This paper cites Generative ai for secure physical layer communications: A survey,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Generative ai for secure physical layer communications: A survey,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.632860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56a1513b-46d2-4e47-b450-17ff6e3064fd · outbound

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

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Generative ai-enabled vehicular networks: Fundamentals, framework, and case study,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.634620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814f1322-bed4-477a-a036-0421920b41d3 · outbound

This paper cites The road toward general edge intelligence: Standing on the shoulders of foundation models,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration The road toward general edge intelligence: Standing on the shoulders of foundation models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.636486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee36dd3e-a979-4dfc-9b00-4a6fe57a2a52 · outbound

This paper cites Embodied ai-enhanced vehicular networks: An integrated large language models and reinforcement learning method,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Embodied ai-enhanced vehicular networks: An integrated large language models and reinforcement learning method,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.638499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759c929d-8059-4ad9-9378-39e4ac998146 · outbound

This paper cites Edge Large AI Models: Collaborative Deployment and IoT Applications.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Edge Large AI Models: Collaborative Deployment and IoT Applications

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.958338Z

Source-reported events for the cited work

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

Observation c276db98-1f46-41c8-ae8f-6c48e9114a70 · outbound

This paper cites Toward democratized generative ai in next-generation mobile edge networks,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Toward democratized generative ai in next-generation mobile edge networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.642440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0d070d-e8d8-4715-9a32-9e953b627f74 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Llm-pruner: On the structural pruning of large language models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.644202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d06f119-9f9e-45a8-ae89-3dadb60cdb62 · outbound

This paper cites Efficient llms for edge devices: Pruning, quantization, and distillation techniques,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Efficient llms for edge devices: Pruning, quantization, and distillation techniques,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.646313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 975f136d-50d0-43ae-a57e-0af6e2fc6d64 · outbound

This paper cites Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.948938Z

Source-reported events for the cited work

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

Observation ad993da5-8d5e-40f6-a882-c03bf04be0cf · outbound

This paper cites TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.651510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31976f3b-2395-441e-b2a1-0d4efd41ba74 · outbound

This paper cites An edge-cloud collaboration framework for generative ai service provision with synergetic big cloud model and small edge models,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration An edge-cloud collaboration framework for generative ai service provision with synergetic big cloud model and small edge models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.654154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d4207f-068e-44d4-a34b-cedfe178d609 · outbound

This paper cites Knowledge Fusion of Large Language Models.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Knowledge Fusion of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.656057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b01388-7899-4b3a-b75a-55dfd63d41eb · outbound

This paper cites A Multi-LLM Debiasing Framework.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Multi-LLM Debiasing Framework

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.658645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e62ff7a9-b2d9-4b66-a5b1-c9a254e21b07 · outbound

This paper cites Easy2hard- bench: Standardized difficulty labels for profiling llm performance and generalization,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Easy2hard- bench: Standardized difficulty labels for profiling llm performance and generalization,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.662061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5725a42-33f6-463d-b443-bd8451669ffc · outbound

This paper cites Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.921322Z

Source-reported events for the cited work

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

Observation e672e52e-ced3-43f9-b5dd-8b719b253c37 · outbound

This paper cites Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.667359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e56115-5338-41f9-b348-96fb38c5d6a4 · outbound

This paper cites Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.671173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e645b681-f8d5-4868-9005-3bcffac7dec8 · outbound

This paper cites Learning to Decode Collaboratively with Multiple Language Models.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Learning to Decode Collaboratively with Multiple Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.673666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ba201a-f360-46e8-abc2-d80dbed1fe46 · outbound

This paper cites Performance analysis on the applications of large language models: A case for elderly care,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Performance analysis on the applications of large language models: A case for elderly care,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.676420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5bc9217-449d-49b0-bc5a-4946428c57e2 · outbound

This paper cites A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.678900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b609d046-fa6b-4fd9-aa3a-2825aaeb5d84 · outbound

This paper cites Levels of AI Agents: from Rules to Large Language Models.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Levels of AI Agents: from Rules to Large Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.891910Z

Source-reported events for the cited work

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

Observation c6ca3c48-7187-4960-908b-39d507823f3c · outbound

This paper cites Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.882907Z

Source-reported events for the cited work

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

Observation 0a5efcc3-41e6-4b40-87ef-6d5a393a0570 · outbound

This paper cites A survey on the integration and optimization of large language models in edge computing envi- ronments,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A survey on the integration and optimization of large language models in edge computing envi- ronments,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.686065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9d4e41-f2fb-4fcf-ba21-78d82f8d9d4c · outbound

This paper cites A review on edge large language models: Design, execution, and applications,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A review on edge large language models: Design, execution, and applications,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.688792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a630a4-c6fb-493a-9627-b11f20c76ae9 · outbound

This paper cites Empowering large language models to edge intelligence: A survey of edge efficient llms and techniques,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Empowering large language models to edge intelligence: A survey of edge efficient llms and techniques,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.690898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eae4355-fbc1-4657-87ab-502798eba035 · outbound

This paper cites Mobile edge intelligence for large language models: A contemporary survey,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Mobile edge intelligence for large language models: A contemporary survey,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.692904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2fd1a91-05f3-4df1-8daf-0006f43c4a60 · outbound

This paper cites Language models at the edge: A survey on techniques, challenges, and applica- tions,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Language models at the edge: A survey on techniques, challenges, and applica- tions,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.695125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a018e9-adca-4875-8ee1-20f5ccecb305 · outbound

This paper cites Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.698790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a914080-b8e5-4007-9ae5-e7f8b3c7975e · outbound

This paper cites Harnessing Multiple Large Language Models: A Survey on LLM Ensemble.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Harnessing Multiple Large Language Models: A Survey on LLM Ensemble

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.702262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1beae76d-4245-43c6-b881-0e26cb334450 · outbound

This paper cites When One LLM Drools, Multi-LLM Collaboration Rules.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration When One LLM Drools, Multi-LLM Collaboration Rules

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.704342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19791be3-e3e5-496c-81f5-37d155521da5 · outbound

This paper cites What is the Role of Small Models in the LLM Era: A Survey.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration What is the Role of Small Models in the LLM Era: A Survey

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.706359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f352bd03-71e4-4c75-8f9d-68e1b66e91ab · outbound

This paper cites A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.709009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23944b62-c4d5-4df6-a7d5-771ddacf0dca · outbound

This paper cites Cost-Effective Online Multi-LLM Selection with Versatile Reward Models.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Cost-Effective Online Multi-LLM Selection with Versatile Reward Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.711497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 787dd9df-3281-49db-8d70-4b188e629697 · outbound

This paper cites Enhancing supermarket robot interac- tion: an equitable multi-level llm conversational interface for handling diverse customer intents,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Enhancing supermarket robot interac- tion: an equitable multi-level llm conversational interface for handling diverse customer intents,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.713981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d986450-4dfb-430f-a11a-36d2e1872e7b · outbound

This paper cites A Case Study of Scalable Content Annotation Using Multi-LLM Consensus and Human Review.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Case Study of Scalable Content Annotation Using Multi-LLM Consensus and Human Review

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.716525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f4a48b4-048c-446b-96d8-7640b84fe55e · outbound

This paper cites GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.719681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ae86fa-fc0e-4e73-8e38-5b65b51f70fe · outbound

This paper cites Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.722535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3405865-6500-47e3-b95e-57cf8d3f92ea · outbound

This paper cites SocraSynth: Multi-LLM Reasoning with Conditional Statistics.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration SocraSynth: Multi-LLM Reasoning with Conditional Statistics

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.724750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9edf4e61-f9f2-4055-b187-8a93257cf136 · outbound

This paper cites Multi-LLM Text Summarization.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Multi-LLM Text Summarization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.727238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e34e0a7-344c-4e0e-ba3b-5a1b6f812db4 · outbound

This paper cites Mlsdet: Multi-llm statisti- cal deep ensemble for chinese ai-generated text detection,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Mlsdet: Multi-llm statisti- cal deep ensemble for chinese ai-generated text detection,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.730047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97dfd605-77d7-4623-b699-e30971073d1b · outbound

This paper cites Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.732186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ca3e33-4867-4701-9250-82bd48cd3020 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.734583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea30ef75-203a-48b7-b22c-abc05e0caa82 · outbound

This paper cites Minimizing hallucinations and communication costs: Adversarial debate and voting mechanisms in llm-based multi-agents,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Minimizing hallucinations and communication costs: Adversarial debate and voting mechanisms in llm-based multi-agents,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.737653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21f8706-9685-42d0-9d87-8cb05e8b453d · outbound

This paper cites Adversarial multi-agent evaluation of large language models through iterative debates,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Adversarial multi-agent evaluation of large language models through iterative debates,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.740095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e92f1dee-76d0-4e3f-8e8c-725b93afc3c0 · outbound

This paper cites Prediction of methane hydrate equilibrium in saline water so- lutions based on support vector machine and decision tree techniques,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Prediction of methane hydrate equilibrium in saline water so- lutions based on support vector machine and decision tree techniques,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.741888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09b8da0c-2e11-418d-9e2b-a2e8b1fbf095 · outbound

This paper cites An energy efficient ecg ventricular ectopic beat classifier using binarized cnn for edge ai devices,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration An energy efficient ecg ventricular ectopic beat classifier using binarized cnn for edge ai devices,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.743741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21802ea2-1b29-44d9-92fa-5ccd0da4ff2e · outbound

This paper cites Secure ai for 6g mobile devices: Deep learning optimization against side-channel attacks,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Secure ai for 6g mobile devices: Deep learning optimization against side-channel attacks,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.745843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09eb6a47-08ba-45bf-aeae-b4cffabde2cd · outbound

This paper cites Privacy and artificial intelligence,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Privacy and artificial intelligence,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.748458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aae8e45d-c1bd-4879-bf9e-1c943ef5d001 · outbound

This paper cites Data-centric artificial intelligence: A survey,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Data-centric artificial intelligence: A survey,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.750635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d56c56ec-29e2-4287-9919-7b8e9fba6e9e · outbound

This paper cites On the Reasoning Capacity of AI Models and How to Quantify It.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration On the Reasoning Capacity of AI Models and How to Quantify It

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.733589Z

Source-reported events for the cited work

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

Observation 63f1e84f-8c52-4d34-aba7-e8ba78afc095 · outbound

This paper cites The pipeline for the continuous development of artificial intelligence models—current state of research and practice,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration The pipeline for the continuous development of artificial intelligence models—current state of research and practice,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.754680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d05e4c7a-dadd-4759-a61f-0516f283c6fc · outbound

This paper cites Edge ai: a survey,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Edge ai: a survey,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.757620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6673aabe-51e1-4b1e-a4e7-91ee057dd5c1 · outbound

This paper cites Megalodon: Efficient llm pretraining and inference with unlimited context length,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Megalodon: Efficient llm pretraining and inference with unlimited context length,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.760158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91f7b9c-3ef9-4fad-a784-9707cd2ff202 · outbound

This paper cites Large language models for networking: Applications, enabling techniques, and challenges,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Large language models for networking: Applications, enabling techniques, and challenges,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.762689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ffeb14-d7a2-4c09-b5e8-7a8c11001eca · outbound

This paper cites Gia: Llm-enabled generative intent abstraction to enhance adaptability for intent-driven networks,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Gia: Llm-enabled generative intent abstraction to enhance adaptability for intent-driven networks,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.764780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05f5f6fa-5602-4fa8-9e9f-36c1b32e7e7b · outbound

This paper cites Generative ai for space-air-ground integrated networks,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Generative ai for space-air-ground integrated networks,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.767853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241ed78f-1364-494a-aba6-cba71ea14e08 · outbound

This paper cites A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.770858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed8377b-2882-46d3-85a0-6fd99303e8da · outbound

This paper cites Large language model (llm) for telecommu- nications: A comprehensive survey on principles, key techniques, and opportunities,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Large language model (llm) for telecommu- nications: A comprehensive survey on principles, key techniques, and opportunities,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.773622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc7c0839-5341-429d-b94e-219691087c36 · outbound

This paper cites Beyond the cloud: Edge inference for generative large language models in wireless networks,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Beyond the cloud: Edge inference for generative large language models in wireless networks,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.775301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b8aeb1-eac3-4060-8cd8-bf85c034fe93 · outbound

This paper cites Generative ai agents with large language model for satellite networks via a mixture of experts transmission,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Generative ai agents with large language model for satellite networks via a mixture of experts transmission,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.777034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307441ed-1730-4b0f-b955-681b957f6ef3 · outbound

This paper cites Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.778887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b67b49-697d-460c-95df-f5586b72379f · outbound

This paper cites Distill-vq: Learning retrieval oriented vector quantization by distilling knowledge from dense embeddings,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Distill-vq: Learning retrieval oriented vector quantization by distilling knowledge from dense embeddings,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.780844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92221eb1-2485-4818-8221-e993b9974a92 · outbound

This paper cites Software orchestrated and hardware accelerated artificial intelligence: Toward low latency edge computing,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Software orchestrated and hardware accelerated artificial intelligence: Toward low latency edge computing,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.782502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e909505c-d06f-4718-8928-04b503ef8314 · outbound

This paper cites Splitwise: Efficient generative llm inference using phase splitting,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Splitwise: Efficient generative llm inference using phase splitting,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.784274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6679410-f317-4314-a8ce-a040c4fa0946 · outbound

This paper cites UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.786524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37d8890-93d1-486b-aa19-ac68caf21341 · outbound

This paper cites Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.788695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14330fb-c246-4280-b05e-de7a88857c77 · outbound

This paper cites From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.791244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11238c94-50f5-4174-ada9-6e726ee5cdfc · outbound

This paper cites Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.693572Z

Source-reported events for the cited work

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

Observation 65356ccd-5144-4c94-a62d-e06d59b5f5ba · outbound

This paper cites Trism for agentic ai: A review of trust, risk, and security management in llm- based agentic multi-agent systems,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Trism for agentic ai: A review of trust, risk, and security management in llm- based agentic multi-agent systems,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.796043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 734e7039-4347-43df-8efd-e8282c1a0b65 · outbound

This paper cites Learning In Chaos: Efficient Autoscaling and Self-Healing for Multi-Party Distributed Training.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Learning In Chaos: Efficient Autoscaling and Self-Healing for Multi-Party Distributed Training

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.600083Z

Source-reported events for the cited work

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

Observation 2f0c131b-a707-475d-a780-cb19cb9119c0 · outbound

This paper cites A Scalable Communication Protocol for Networks of Large Language Models.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Scalable Communication Protocol for Networks of Large Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.801300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5d7435c-848a-4582-af17-e7fbec854a60 · outbound

This paper cites Edgeshard: Efficient llm inference via collaborative edge computing,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Edgeshard: Efficient llm inference via collaborative edge computing,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.803283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4139d0d-4c1e-4179-8529-e49c9fcb7571 · outbound

This paper cites Eco-llm: Llm-based edge cloud optimization,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Eco-llm: Llm-based edge cloud optimization,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.805041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be10583-393a-4b04-a42b-f77c23b72a66 · outbound

This paper cites Multi-agent ai system for adaptive cognitive training in elderly care,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Multi-agent ai system for adaptive cognitive training in elderly care,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.806668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde84553-528b-4e26-b0ff-17a35d6f32d6 · outbound

This paper cites A comprehen- sive survey on artificial intelligence empowered edge computing on consumer electronics,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A comprehen- sive survey on artificial intelligence empowered edge computing on consumer electronics,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.808350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a528bce-d4ec-46ae-a35f-543c1ca3f37a · outbound

This paper cites An internet-of-medical-things- enabled edge computing framework for tackling covid-19,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration An internet-of-medical-things- enabled edge computing framework for tackling covid-19,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.810033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba8f453-c33d-4ed5-8446-87d85abfe956 · outbound

This paper cites A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.811797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76b18fbb-cff2-4515-b4ab-3aee760e8908 · outbound

This paper cites A privacy-preserving social computing framework for health management using federated learning,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A privacy-preserving social computing framework for health management using federated learning,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.813482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b9f65e-e87a-4695-8004-395b4d9fd9e0 · outbound

This paper cites LLMCad: Fast and Scalable On-device Large Language Model Inference.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.815374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc630269-93ed-4ce4-9753-12f535c04f92 · outbound

This paper cites Chatgpt and other large language models for cybersecurity of smart grid applications,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Chatgpt and other large language models for cybersecurity of smart grid applications,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.817834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e730caa1-acaa-4be3-a92e-479b2c3618b0 · outbound

This paper cites Review of the opportunities and challenges to accelerate mass-scale application of smart grids with large-language models,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Review of the opportunities and challenges to accelerate mass-scale application of smart grids with large-language models,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.819548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ad2bea-f801-478a-b6b2-4e90be7d219e · outbound

This paper cites Large Language Models integration in Smart Grids.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Large Language Models integration in Smart Grids

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.821377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1c513c-d5b3-4673-9c54-cc4e62d4d956 · outbound

This paper cites Joint optimization of computing offloading and service caching in edge computing-based smart grid,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Joint optimization of computing offloading and service caching in edge computing-based smart grid,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.823204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00f2694-0b3e-45ce-b83d-dd4696f98e18 · outbound

This paper cites Boosting 5g on smart grid communi- cation: A smart ran slicing approach,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Boosting 5g on smart grid communi- cation: A smart ran slicing approach,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.825172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4a9525-6f46-4271-b4d2-2ad548cdefbe · outbound

This paper cites Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.827958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c88c2d-0990-4fa6-841c-d1638498f507 · outbound

This paper cites The universal fog proxy: A third-party authentication solution for federated fog systems with multiple protocols,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration The universal fog proxy: A third-party authentication solution for federated fog systems with multiple protocols,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.830074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3cbd681-6bc8-4643-af81-f95f5d7e9a48 · outbound

This paper cites GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.831788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d15908d-adaa-4a81-8aad-861b94a3b347 · outbound

This paper cites Integrating llms with its: Recent advances, potentials, challenges, and future directions,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Integrating llms with its: Recent advances, potentials, challenges, and future directions,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.833690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d029e36-2ff3-4de6-ba2a-afb3749ea980 · outbound

This paper cites Federated learning assisted intelligent iov mobile edge computing,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Federated learning assisted intelligent iov mobile edge computing,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.835930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 965e4f0d-8d57-4cc0-8c5a-9a5fed7671b1 · outbound

This paper cites Potential game based distributed iov service offloading with graph attention networks in mobile edge computing,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Potential game based distributed iov service offloading with graph attention networks in mobile edge computing,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.838387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc28279-0281-4cc1-ae9c-f7e15201355b · outbound

This paper cites Esia: An efficient and stable identity authentication for internet of vehicles,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Esia: An efficient and stable identity authentication for internet of vehicles,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.840474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 527b27dc-c4a0-4785-a4b3-b1156b98ef48 · outbound

This paper cites Multi- agent reinforcement learning based edge content caching for connected autonomous vehicles in iov,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Multi- agent reinforcement learning based edge content caching for connected autonomous vehicles in iov,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.842692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85def907-79b7-4cfd-ae54-0f6db3f5c7cf · outbound

This paper cites Em- bodied artificial intelligence-enabled internet of vehicles: Challenges and solutions,.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Em- bodied artificial intelligence-enabled internet of vehicles: Challenges and solutions,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.844486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 63d05a52-0dce-4665-9960-ba384731fdfc · inbound

Balancing Information Accuracy and Response Timeliness in Networked LLMs cites this paper.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T05:12:28.940425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eee49b5-95f4-4bb9-891b-23a334a1571f · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.008679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47383e80-40df-4961-9b92-f192318c668c · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T15:26:33.458218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea8fc53c-f0a6-4109-b3d0-164b45088b5b · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:32.137852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15113123-a3ae-4bd0-8849-1038d1c8bf6d · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:34:23.482981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc769164-e17e-4dec-8338-18755e2436d9 · inbound

Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum cites this paper.

Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:43:32.795301Z

Source-reported events for the cited work

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