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Paper Citation Record · LEDGER

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

As of 7 August 2026, this Paper Citation Record lists 100 of 284 outbound references and 6 inbound Pith citation observations for arXiv:2508.18725.

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

pith.paper-citation-record.v1
2508.18725 v1

Coverage vector

measured 100 of 284 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:20:59.475640Z

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 2026-08-04T14:49:49.316579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:23:49.500519Z

Reference resolution

100 of 284 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d59e039-8fcd-4577-b9d8-cd1e05e0ecaa · outbound

This paper cites 6G White Paper on Edge Intelligence.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions 6G White Paper on Edge Intelligence

Reference 1

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Observation 200ef3f9-a8b1-4800-a71f-c881c5cb3d90 · outbound

This paper cites A survey of integrating generative artificial intelligence and 6g mobile services: Architectures, solutions, technologies and outlooks,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A survey of integrating generative artificial intelligence and 6g mobile services: Architectures, solutions, technologies and outlooks,

Reference 2

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source=pdf_text observed=2026-08-05T16:20:58.891871Z digest=sha256:99db8c4f0ef4cd90b8a02728b63532438c484eb5a2220c0403fd9c0653cd7e58

Observation 2e816f1b-816d-42c2-814c-a80c5a2dd922 · outbound

This paper cites Split learning over wireless networks: Parallel design and resource management,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Split learning over wireless networks: Parallel design and resource management,

Reference 3

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source=pdf_text observed=2026-08-05T16:20:58.897645Z digest=sha256:c4c1f8350ce2ad8557ea3490a674e319b19a4ecf45ee70fd29013ac2e6ad784e

Observation 4037d275-ba85-4095-b574-83c1689eb2d2 · outbound

This paper cites 6g: Opening new horizons for integration of comfort, security, and intelligence,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions 6g: Opening new horizons for integration of comfort, security, and intelligence,

Reference 4

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source=pdf_text observed=2026-08-05T16:20:58.903480Z digest=sha256:8995a0e837937cf7e234b025da228f87b0a35193e999f72404c72eecf264a03a

Observation 075d260c-ae21-45d3-95e9-20cbd81a6794 · outbound

This paper cites Large models for aerial edges: An edge-cloud model evolution and communication paradigm,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Large models for aerial edges: An edge-cloud model evolution and communication paradigm,

Reference 5

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source=pdf_text observed=2026-08-05T16:20:58.910609Z digest=sha256:51ea3a15a338af2d3e800f89a9159d420097648b1229697c0cfd7a5e71410bb9

Observation f2088e93-f760-4ead-8e7c-ae753309a4ea · outbound

This paper cites Adaptive device-edge collaboration on dnn inference in aiot: A digital-twin-assisted approach,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Adaptive device-edge collaboration on dnn inference in aiot: A digital-twin-assisted approach,

Reference 6

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source=pdf_text observed=2026-08-05T16:20:58.916468Z digest=sha256:ba75fce9bf4cb1328091e512edb0de41767990b6c546a9041433b4ad66da2693

Observation 4f2dd470-73d6-4594-806d-012d842087d4 · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Toward democratized generative ai in next-generation mobile edge networks,

Reference 7

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source=pdf_text observed=2026-08-05T16:20:58.922389Z digest=sha256:514c39be6283508558ec42829ff5f1b3b067efb7fa7cf2b34f06d37a8d0fd100

Observation 0a9d98fc-bcde-4725-b9d9-4c43f3723041 · outbound

This paper cites A survey on approximate edge ai for energy efficient autonomous driving services,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A survey on approximate edge ai for energy efficient autonomous driving services,

Reference 8

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source=pdf_text observed=2026-08-05T16:20:58.927119Z digest=sha256:886aff912ecbbd1448513c6151a59be15618b94cbedf2b92544b34b753d5f51f

Observation edbe0d8a-43e1-486f-930f-27180c328366 · outbound

This paper cites Edgeaiguard: Agentic llms for minor protection in digital spaces,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edgeaiguard: Agentic llms for minor protection in digital spaces,

Reference 9

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source=pdf_text observed=2026-08-05T16:20:58.933043Z digest=sha256:0ec6e18be7f245cdecaa4154956361fa631246f02f24b5bcf36f2df7454e357d

Observation 10c4a2fa-fd94-4374-8dda-cfa033d5003a · outbound

This paper cites Swipt-enabled cell-free massive mimo-noma networks: A machine learning-based approach,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Swipt-enabled cell-free massive mimo-noma networks: A machine learning-based approach,

Reference 10

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source=pdf_text observed=2026-08-05T16:20:58.937919Z digest=sha256:5b259d75643b4222b4847642b979047a6717ed09452461e7bf88cec9288ec699

Observation 4f67783d-1020-48f3-b826-040c7bdd12e0 · outbound

This paper cites Edge intelligence: Empowering intelligence to the edge of network,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge intelligence: Empowering intelligence to the edge of network,

Reference 11

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source=pdf_text observed=2026-08-05T16:20:58.942337Z digest=sha256:70c6cbb358d3b5e74b9461ae033b6275825caf838c208366049580df2a43c4d2

Observation 715b3d0e-6f69-4b58-a839-2a817985adc1 · outbound

This paper cites Multi-modal knowledge graph con- struction and application: A survey,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Multi-modal knowledge graph con- struction and application: A survey,

Reference 12

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source=pdf_text observed=2026-08-05T16:20:58.947866Z digest=sha256:9ff34a9f7d22062878f5afddf02f1288ca30e13c81f0f5782d151c782944f63f

Observation 511ba243-e81f-41de-a815-ed8d58b53193 · outbound

This paper cites A survey on mobile anchor node as- sisted localization in wireless sensor networks,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A survey on mobile anchor node as- sisted localization in wireless sensor networks,

Reference 13

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source=pdf_text observed=2026-08-05T16:20:58.955210Z digest=sha256:224b2b0d2cfd40ce609b568bded661fe8d628830e66cfb92d6ee8a38df2839c1

Observation 0ad5abaf-958c-4c35-bdc8-6a0fdfea3b33 · outbound

This paper cites Multiagent deep reinforcement learning for joint multichannel access and task offloading of mobile-edge computing in industry 4.0,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Multiagent deep reinforcement learning for joint multichannel access and task offloading of mobile-edge computing in industry 4.0,

Reference 14

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source=pdf_text observed=2026-08-05T16:20:58.960059Z digest=sha256:55f3b4e5451e11736f37805956d8b7cd00a3463b014d8c4cdf50fc7bd9ef3f04

Observation 13ece8b0-006b-4f0c-8cb0-9aa6802e643e · outbound

This paper cites Green edge intelligence for smart management of a fanet in disaster-recovery scenarios,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Green edge intelligence for smart management of a fanet in disaster-recovery scenarios,

Reference 15

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source=pdf_text observed=2026-08-05T16:20:58.966862Z digest=sha256:d1e497d0b50b0a58d6d17f193c7e1c1bd71ca1cf614db1011ad7cd1f10ea2388

Observation 425069c7-7b88-448c-97ad-e08f46a6a57c · outbound

This paper cites A survey on space-air-ground-sea integrated network security in 6g,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A survey on space-air-ground-sea integrated network security in 6g,

Reference 16

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source=pdf_text observed=2026-08-05T16:20:58.971892Z digest=sha256:23ec6b94bebdffb71be38256cf208538bc2638b333b5f830f985922d0c95718f

Observation fd1b6ac6-09fa-43df-9c43-8b6ed31c6235 · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions The road toward general edge in- telligence: Standing on the shoulders of foundation models,

Reference 17

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source=pdf_text observed=2026-08-05T16:20:58.976695Z digest=sha256:2f9f8b22ae0da446ec5e82431888e580f1721a954c96aed7a7e3cc73f46d017e

Observation 8a1aa271-355d-4b7b-81d5-f858c1817a92 · outbound

This paper cites Edge intelligence-based ultra-reliable and low-latency communications for digital twin-enabled metaverse,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge intelligence-based ultra-reliable and low-latency communications for digital twin-enabled metaverse,

Reference 18

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source=pdf_text observed=2026-08-05T16:20:58.981593Z digest=sha256:3cfc2c42e54416bc73d3c2a2c315e94b47460b22466e3121a5ba11d50b24363e

Observation 8d3b2249-2f25-4917-bb5f-e72ded56ebb9 · outbound

This paper cites Relay-assisted federated edge learning: Performance analysis and system optimization,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Relay-assisted federated edge learning: Performance analysis and system optimization,

Reference 19

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source=pdf_text observed=2026-08-05T16:20:58.986500Z digest=sha256:d54af4d7478b71eceef31bf99eb98350040d1db4ca2f9aa4d6ec1ae745f7d42b

Observation 3960a594-209b-4e7d-bc11-5017e11050f3 · outbound

This paper cites Large language models empowered autonomous edge ai for connected intelligence,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Large language models empowered autonomous edge ai for connected intelligence,

Reference 20

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source=pdf_text observed=2026-08-05T16:20:58.992864Z digest=sha256:5024aa5f71a91ede0a83e4ba12a8eaf9078910f335bc99401cdf6d0e750feee0

Observation 807eba56-9853-48fd-a5b5-7d394d5d27c8 · outbound

This paper cites Secrecy energy efficiency maximiza- tion in irs-assisted vlc miso networks with rsma: A ds-ppo approach,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Secrecy energy efficiency maximiza- tion in irs-assisted vlc miso networks with rsma: A ds-ppo approach,

Reference 21

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Observation 5bb1ef61-a012-422a-b25f-32bf2fb6c86e · outbound

This paper cites Leveraging llms in cloud-edge networks for traffic risk prediction and accident severity analysis,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Leveraging llms in cloud-edge networks for traffic risk prediction and accident severity analysis,

Reference 22

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source=pdf_text observed=2026-08-05T16:20:59.005323Z digest=sha256:b442009d3fb1de19e2f8631da7e07b2ca8eb19e52831efa149d5fbccf278f0db

Observation 994e4898-e0f5-4964-ab78-0e492e9569a3 · outbound

This paper cites Model collaboration framework design for space-air-ground integrated networks,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Model collaboration framework design for space-air-ground integrated networks,

Reference 23

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source=pdf_text observed=2026-08-05T16:20:59.011184Z digest=sha256:8044b9b1619b11cf319ad9b572150b4cb2f5160fd10441e1a20ea10e115456a2

Observation 84b90dd5-7851-453a-b80d-57c116aa96e2 · outbound

This paper cites Holistic network virtualization and pervasive network intelligence for 6g,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Holistic network virtualization and pervasive network intelligence for 6g,

Reference 24

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source=pdf_text observed=2026-08-05T16:20:59.016265Z digest=sha256:b0da28ec01888497c8d3dc9f211922ffd113eaa25e446f2205b55a7e4c711fc0

Observation 28532656-f9bc-4f38-b00e-a50274e7410f · outbound

This paper cites Green ai for iiot: Energy efficient intelligent edge computing for industrial internet of things,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Green ai for iiot: Energy efficient intelligent edge computing for industrial internet of things,

Reference 25

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source=pdf_text observed=2026-08-05T16:20:59.021077Z digest=sha256:86bf4d20d0981a19cc0f7f9c085e5cb34e2f35e05a3c344e08e79de9a35ffe64

Observation ae09f932-64c6-4fa2-8d03-45feb79449be · outbound

This paper cites A survey on the edge computing for the internet of things,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A survey on the edge computing for the internet of things,

Reference 26

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source=pdf_text observed=2026-08-05T16:20:59.026628Z digest=sha256:09f078aafe69d3614fa339290778abe4524b24729e0e0310dd0208857f67d7e6

Observation fa653757-e8ca-45f6-bd16-3140a6334f8c · outbound

This paper cites Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective,

Reference 27

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source=pdf_text observed=2026-08-05T16:20:59.033672Z digest=sha256:22385ddc4b5d5866ce15c13434d282185f3c81dde662618e5d518fe86495d994

Observation 03b3ece2-e12e-4407-8997-cc6c76ba9387 · outbound

This paper cites Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Reference 28

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source=pdf_text observed=2026-08-05T16:20:59.039397Z digest=sha256:01ade8d39656a4b2c033e46aaf21ce6f6e2d8bdbb88b228caf6867ea5aa4dc92

Observation f20d60a1-2837-474d-8d26-9ba1b6cd2b49 · outbound

This paper cites Optimizing space-air- ground integrated networks by artificial intelligence,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Optimizing space-air- ground integrated networks by artificial intelligence,

Reference 29

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source=pdf_text observed=2026-08-05T16:20:59.047143Z digest=sha256:3addbf98054bb1005911570091265cdf4faf68dbf4d8b2c0c339a312b5cf09d5

Observation 8f78dd00-f90b-4903-b0ac-c93401c44811 · outbound

This paper cites Large language models (llms) inference offloading and resource allocation in cloud-edge computing: An active inference approach,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Large language models (llms) inference offloading and resource allocation in cloud-edge computing: An active inference approach,

Reference 30

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source=pdf_text observed=2026-08-05T16:20:59.056174Z digest=sha256:0a66e4ea0dd59c58f0e497e157e3aaf36ed20af509e12f897a0cb10609650d79

Observation ea68d40d-be3f-49da-afb9-66c7ea75e00a · outbound

This paper cites Multi-agent Embodied AI: Advances and Future Directions.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Multi-agent Embodied AI: Advances and Future Directions

Reference 31

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source=pdf_text observed=2026-08-05T16:20:59.061242Z digest=sha256:064b346718d18f3f8f7a054ec347a54e621b108ea663e29914d2c79d78927f7e

Observation f485c040-5ec5-455d-9c23-10f2f27812b6 · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Generative ai-enabled vehicular networks: Fundamentals, framework, and case study,

Reference 32

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source=pdf_text observed=2026-08-05T16:20:59.066812Z digest=sha256:92b3d4fa8c09056fbadc93c9f27ca1047d384ac7e5742eff491f66848182ee95

Observation e359710b-efeb-4d70-8d38-6e447d4c524f · outbound

This paper cites Agent-as-a-service: An ai-native edge computing framework for 6g networks,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Agent-as-a-service: An ai-native edge computing framework for 6g networks,

Reference 33

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source=pdf_text observed=2026-08-05T16:20:59.071973Z digest=sha256:5845c1a96199ef54eff2e0a5f4c422be324aadb9dd102b19d5953bcec408e5a8

Observation 6a06c9a8-3296-4820-b2bd-7a90b0954fbe · outbound

This paper cites WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 34

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source=pdf_text observed=2026-08-05T16:20:59.076785Z digest=sha256:2cfa2d00e572de6b4a3483211c2205e69af9e150c1e4f7560ab9245d121bb07c

Observation 373e454a-bff7-40d5-b874-e75f17611cc5 · outbound

This paper cites Agentification of the internet of things: A systematic literature review,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Agentification of the internet of things: A systematic literature review,

Reference 35

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Observation c2e3fe08-2963-49a4-ae47-45e5520b8bf2 · outbound

This paper cites Generative ai for low-carbon artificial intelligence of things with large language models,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Generative ai for low-carbon artificial intelligence of things with large language models,

Reference 36

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Observation 4a3efc1c-eee5-4be2-913a-83c56cff100e · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Mobile edge intelligence for large language models: A contemporary survey,

Reference 37

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Observation 5a0a18e5-8dc7-4f65-87ff-46ee3e5c15e5 · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network

Reference 38

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Observation 0090526e-5227-42da-90fd-ad55eb3bbc3f · outbound

This paper cites Fully onboard ai- powered human-drone pose estimation on ultralow-power autonomous flying nano-uavs,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Fully onboard ai- powered human-drone pose estimation on ultralow-power autonomous flying nano-uavs,

Reference 39

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Observation 0f3a4341-e148-46a4-a0a1-0ea84cd788e9 · outbound

This paper cites Toward edge general intelligence with multiple-large language model (multi-llm): Architecture, trust, and orchestration,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Toward edge general intelligence with multiple-large language model (multi-llm): Architecture, trust, and orchestration,

Reference 40

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Observation c97467f1-0f30-448d-b796-e2771cd74194 · outbound

This paper cites UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs

Reference 41

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Observation b9f68999-2ae2-42dd-905c-254c4ea96594 · outbound

This paper cites Edge large ai model agent-empowered cognitive multimodal semantic communication,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge large ai model agent-empowered cognitive multimodal semantic communication,

Reference 42

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Observation 2d1e6cb6-33cd-44fd-8825-8b4568f08f4b · outbound

This paper cites Advanced architectures integrated with agentic ai for next-generation wireless networks,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Advanced architectures integrated with agentic ai for next-generation wireless networks,

Reference 43

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Observation 4c67fce0-c5f2-4339-9909-c2b90056e3d1 · outbound

This paper cites From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 44

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Observation 2852c583-3dee-4c74-8bf2-e0fb4df35f2a · outbound

This paper cites Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 45

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Observation 163f1d8d-fc60-4952-932d-e9b1d469ef6d · outbound

This paper cites Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

Reference 46

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Observation 05953204-5449-41d5-9c9e-744684a7dfdb · outbound

This paper cites Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey

Reference 47

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Observation 2c82b2ca-cce4-4937-aba1-c6f76315850f · outbound

This paper cites AutoGPT.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions AutoGPT

Reference 48

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Observation 967680d3-f5df-476f-b4b5-e789c807e205 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 49

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Observation 42f1b530-8a8e-4b19-9db6-2ec2faff067d · outbound

This paper cites Collaborative edge intelligence for autonomous vehicles: Opportunities and challenges,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Collaborative edge intelligence for autonomous vehicles: Opportunities and challenges,

Reference 50

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Observation 2ef857dc-4279-409b-b1b4-db73e395a15e · outbound

This paper cites Artificial intelligence-driven mechanism for edge computing-based industrial applications,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Artificial intelligence-driven mechanism for edge computing-based industrial applications,

Reference 51

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Observation 0e0f0c3b-07ff-434e-9d89-20a32c1c65cc · outbound

This paper cites Agentic ai: A comprehensive survey of technologies, applications, and societal implications,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Agentic ai: A comprehensive survey of technologies, applications, and societal implications,

Reference 52

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Observation 705ade01-1b96-4882-9007-a98bcf2e4bd8 · outbound

This paper cites Edge AI: A Taxonomy, Systematic Review and Future Directions.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge AI: A Taxonomy, Systematic Review and Future Directions

Reference 53

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Observation f899dc01-1667-4463-915d-70c399422d86 · outbound

This paper cites Toward agentic ai: Generative infor- mation retrieval inspired intelligent communications and networking,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Toward agentic ai: Generative infor- mation retrieval inspired intelligent communications and networking,

Reference 54

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Observation ba08911c-ae37-41ca-994b-a480156ea617 · outbound

This paper cites Metaverse unbound: A survey on synergistic integration between semantic communication, 6g, and edge learning,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Metaverse unbound: A survey on synergistic integration between semantic communication, 6g, and edge learning,

Reference 55

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Observation 7ca738ba-5036-448f-9ea5-bc79c0621b1c · outbound

This paper cites Applications of explainable ai for 6g: Technical aspects, use cases, and research challenges,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Applications of explainable ai for 6g: Technical aspects, use cases, and research challenges,

Reference 56

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Observation 35c13712-9878-4698-8d87-e03dc79a378e · outbound

This paper cites Language models are few-shot learners,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Language models are few-shot learners,

Reference 57

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Observation f3569c72-67b4-4339-bce9-e7bd6f899c10 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 58

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Observation 0ce48175-e581-45fb-bf63-9266dbfc1630 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions On the Opportunities and Risks of Foundation Models

Reference 59

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Observation cf133e02-53c9-479d-a401-afd5265c66f5 · outbound

This paper cites Autort: Embodied foundation models for large scale orchestration of robotic agents,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Autort: Embodied foundation models for large scale orchestration of robotic agents,

Reference 60

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Observation 34599757-3c61-4775-adfa-f1e53c453b26 · outbound

This paper cites Edge perception: Intelligent wireless sensing at network edge,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge perception: Intelligent wireless sensing at network edge,

Reference 61

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Observation 74ab39fa-ca3e-4583-a120-62447e889392 · outbound

This paper cites Socialized learning: A survey of the paradigm shift for edge intelligence in networked systems,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Socialized learning: A survey of the paradigm shift for edge intelligence in networked systems,

Reference 62

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Observation db9ac745-9912-45e1-aace-0f29033730ca · outbound

This paper cites Edge computing task offloading for environmental perception of autonomous vehicles in 6g networks,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge computing task offloading for environmental perception of autonomous vehicles in 6g networks,

Reference 63

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Observation ff0050b4-1a9e-467b-817d-3d568c76bbb2 · outbound

This paper cites Improving efficiency in multi-modal autonomous embedded systems through adaptive gating,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Improving efficiency in multi-modal autonomous embedded systems through adaptive gating,

Reference 64

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Observation f75ef847-04e2-48f7-b4bc-232b7d81ac1f · outbound

This paper cites Edge intelligence for internet of vehicles: A survey,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge intelligence for internet of vehicles: A survey,

Reference 65

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Observation 8ee2c6c1-69e8-4cc1-9405-186f2ac20591 · outbound

This paper cites From Autonomous Agents to Integrated Systems, A New Paradigm: Orchestrated Distributed Intelligence.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions From Autonomous Agents to Integrated Systems, A New Paradigm: Orchestrated Distributed Intelligence

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Observation b3e0a038-0d54-4203-ade7-d4833cadf5f4 · outbound

This paper cites Decentralization of generative ai via mixture of experts for wireless networks: A comprehensive survey,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Decentralization of generative ai via mixture of experts for wireless networks: A comprehensive survey,

Reference 67

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Observation 6d62d4e4-f5c8-4c8d-9d0d-f491f294f3e5 · outbound

This paper cites Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,

Reference 68

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Observation 143fd06b-ef3c-4180-a878-1d6fb27e162a · outbound

This paper cites Augmenting language models with long-term memory,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Augmenting language models with long-term memory,

Reference 69

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Observation 0ac4f13d-0b78-447f-89bf-097c98e9f291 · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions React: Synergizing reasoning and acting in language models,

Reference 70

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Observation ce6995af-a29d-4357-992f-100fdfa5576b · outbound

This paper cites Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts

Reference 71

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Observation ad7ed017-870a-4dfe-8f6c-43156fe488c3 · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Generative ai agents with large language model for satellite networks via a mixture of experts trans- mission,

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Observation 817babdb-d0d0-4d36-978f-99501c9774d3 · outbound

This paper cites Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 73

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Observation eb1065f2-9cf7-4fe9-83c2-aa474b5c974e · outbound

This paper cites Multi-modal multi- task (m3t) federated foundation models for embodied ai: Potentials and challenges for edge integration,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Multi-modal multi- task (m3t) federated foundation models for embodied ai: Potentials and challenges for edge integration,

Reference 74

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Observation bc2408cd-07b2-4bfe-b163-b06cfb2020bb · outbound

This paper cites Trine: Cloud-edge-device cooperated real-time video analysis for household applications,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Trine: Cloud-edge-device cooperated real-time video analysis for household applications,

Reference 75

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Observation 4a19fb8e-3363-4d08-adfd-f4772ba74627 · outbound

This paper cites Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence

Reference 76

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Observation fb0f82b3-eaaa-4711-9a6d-22ed62879aa2 · outbound

This paper cites Building Blocks to Empower Cognitive Internet with Hybrid Edge Cloud.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Building Blocks to Empower Cognitive Internet with Hybrid Edge Cloud

Reference 77

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Observation e6ccd6c2-c448-441d-b3cb-d252d5ea2828 · outbound

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

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Towards edge general intelligence via large language models: Opportunities and challenges,

Reference 78

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source=pdf_text observed=2026-08-05T16:20:59.334561Z digest=sha256:a59b1b9fac55e99f1d0465a2eb78452725d8a1f6c5c7fef51698b90e4b889d3b

Observation b21b5a92-df50-4dd7-bfa9-67d78642e230 · outbound

This paper cites World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 79

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Observation dece6c95-fc70-41b0-8a35-5f66a8a360c5 · outbound

This paper cites Edge Intelligence: Architectures, Challenges, and Applications.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge Intelligence: Architectures, Challenges, and Applications

Reference 80

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Observation 0bc7d5a6-7732-4bbb-8062-79122b652db5 · outbound

This paper cites A Survey on Inference Optimization Techniques for Mixture of Experts Models.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 81

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Observation 5364d710-356c-4b7b-a1cf-8135865e711c · outbound

This paper cites Agentic Web: Weaving the Next Web with AI Agents.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Agentic Web: Weaving the Next Web with AI Agents

Reference 82

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Observation 3f1b44a2-287d-4495-aec4-0f526dce3c2c · outbound

This paper cites Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications

Reference 83

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source=pdf_text observed=2026-08-05T16:20:59.369250Z digest=sha256:d59f8d7bff01b65bff8ed9ce01ed052ca2c89a40d5d58a642df86d3ad2d77205

Observation 198721d6-9188-4e9d-8c49-5cbfa1f872b3 · outbound

This paper cites A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

Reference 84

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Observation ae561229-92fc-4327-bd5b-86434c0e6b03 · outbound

This paper cites A review on intelligent process for smart home applications based on iot: coherent taxonomy, motivation, open challenges, and recommendations,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A review on intelligent process for smart home applications based on iot: coherent taxonomy, motivation, open challenges, and recommendations,

Reference 85

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source=pdf_text observed=2026-08-05T16:20:59.380764Z digest=sha256:a9fcfb428d0718a6c20336450a48e08ee37a396ae67d6f351c1c173970a23f7c

Observation 840fa575-b9a1-4497-8b12-baf19cb73a2b · outbound

This paper cites Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges,

Reference 86

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source=pdf_text observed=2026-08-05T16:20:59.385848Z digest=sha256:dd5aacf986d1a2170bd183d1d0c274236f7c06a0dfa89ca88953f2bf36f8e31b

Observation 567d2a58-26d0-4be7-b5bc-96acccf64e90 · outbound

This paper cites Communication-efficient edge ai: Algorithms and systems,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Communication-efficient edge ai: Algorithms and systems,

Reference 87

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source=pdf_text observed=2026-08-05T16:20:59.396105Z digest=sha256:d58cac0cec7c79ae8addf472b9de5faeb5cd79e783cca20f0a120af3654861fc

Observation 4a094af8-7ec6-4bdd-b88b-df4867598f4f · outbound

This paper cites Ai-enabled secure microservices in edge computing: Opportunities and challenges,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Ai-enabled secure microservices in edge computing: Opportunities and challenges,

Reference 88

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Observation 246297c9-f186-498b-8c0a-e367435a8450 · outbound

This paper cites A decade of video analytics at edge: Training, deployment, orchestration, and platforms,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A decade of video analytics at edge: Training, deployment, orchestration, and platforms,

Reference 89

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source=pdf_text observed=2026-08-05T16:20:59.405500Z digest=sha256:89a5a4f8e0203dd8de46874100140d2f8e9dc751aeb2c7bdcae2c9f2fe4f26a2

Observation 49d420e1-5daa-4b58-afee-7ff0645c9c4f · outbound

This paper cites Urllc edge networks with joint optimal user association, task offloading and resource allocation: A digital twin approach,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Urllc edge networks with joint optimal user association, task offloading and resource allocation: A digital twin approach,

Reference 90

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source=pdf_text observed=2026-08-05T16:20:59.410995Z digest=sha256:270248c4b940da51bcdc36a2b8a3ecca0fbfd1ce9f6485bd0cc6e8c4a9525f02

Observation d6537fbd-0fe4-420d-8846-ff02c35bae94 · outbound

This paper cites Edge-native intelligence for 6g communications driven by federated learning: A survey of trends and challenges,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge-native intelligence for 6g communications driven by federated learning: A survey of trends and challenges,

Reference 91

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Observation 146bd352-32bf-4742-9713-b2590cea0a9d · outbound

This paper cites Combining federated learning and edge computing toward ubiquitous intelligence in 6g network: Chal- lenges, recent advances, and future directions,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Combining federated learning and edge computing toward ubiquitous intelligence in 6g network: Chal- lenges, recent advances, and future directions,

Reference 92

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Observation e79624c0-5541-4176-ba18-96e971df7c7e · outbound

This paper cites Wifi-diffusion: Achieving fine-grained wifi radio map estimation with ultra-low sampling rate by diffusion models,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Wifi-diffusion: Achieving fine-grained wifi radio map estimation with ultra-low sampling rate by diffusion models,

Reference 93

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Observation 5f27726e-5480-4c9b-ac5d-d5569b43bbd7 · outbound

This paper cites Evolution of non- terrestrial networks from 5g to 6g: A survey,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Evolution of non- terrestrial networks from 5g to 6g: A survey,

Reference 94

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Observation bb0cb8cf-0e0b-45c5-90c3-a5fd757e4097 · outbound

This paper cites Edge computing for smart health: Context-aware approaches, opportunities, and challenges,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge computing for smart health: Context-aware approaches, opportunities, and challenges,

Reference 95

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Observation 357627e1-b335-4531-84c5-17415c36cf7b · outbound

This paper cites Context-aware and adaptive qos prediction for mobile edge computing services,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Context-aware and adaptive qos prediction for mobile edge computing services,

Reference 96

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Observation f60f01e5-2781-4e58-83aa-cd27f77a6676 · outbound

This paper cites Jointdnn: An efficient training and inference engine for intelligent mobile cloud computing services,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Jointdnn: An efficient training and inference engine for intelligent mobile cloud computing services,

Reference 97

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Observation b83e4f99-ee03-4bdc-934e-b773bad3f70c · outbound

This paper cites The Hidden cost of the Edge: A Performance Comparison of Edge and Cloud Latencies.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions The Hidden cost of the Edge: A Performance Comparison of Edge and Cloud Latencies

Reference 98

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Observation 35acc642-63d4-4d3f-b5c0-75c0a315e48d · outbound

This paper cites Toward robust control for 6g networks,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Toward robust control for 6g networks,

Reference 99

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Observation 78a08a81-2dfd-41ec-914f-60c08cebf713 · outbound

This paper cites A survey on the convergence of edge computing and ai for uavs: Opportunities and challenges,.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A survey on the convergence of edge computing and ai for uavs: Opportunities and challenges,

Reference 100

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Pith citing papers

Observation 1936e281-4851-462f-b10a-834e29bfa755 · inbound

Resource-Aware LLM Reasoning for Mobile Edge General Intelligence cites this paper.

Resource-Aware LLM Reasoning for Mobile Edge General Intelligence Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

Reference 4

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Observation a0949ceb-b25b-4d29-be42-837d159b3c12 · inbound

Agentic AI for ISAC: Analysis, Framework, and Case Study cites this paper.

Agentic AI for ISAC: Analysis, Framework, and Case Study Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

Reference 5

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Observation 63b46f62-9c37-4a0c-a31c-b6555a46f525 · inbound

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Wireless Copilot: An AI-Powered Partner for Navigating Next-Generation Wireless Complexity Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

Reference 6

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Observation bc0b607b-a6e0-42f8-b665-ae9d73538050 · inbound

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Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

Reference 12

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Observation e3e303a9-4340-4d9a-a1bb-3ec474ce9bf8 · inbound

Agentic AI-Enhanced Semantic Communications: Foundations, Architecture, and Applications cites this paper.

Agentic AI-Enhanced Semantic Communications: Foundations, Architecture, and Applications Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

Reference 3

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Observation 9e17f1d3-a336-4294-9b60-2c1136671494 · inbound

Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI cites this paper.

Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

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