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Paper Citation Record · LEDGER

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2602.13628.

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

pith.paper-citation-record.v1
2602.13628 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:33:09.433685Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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Outbound references

Observation 3c7e214c-3d62-46e5-99b3-91fbf32ab0f2 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Generative ai agents with large language model for satellite networks via a mixture of experts transmission,

Reference 1

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Observation a29a47ca-31c2-4e64-9031-7ca6678aea78 · outbound

This paper cites Deep generative model and its applications in efficient wireless network management: A tutorial and case study,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Deep generative model and its applications in efficient wireless network management: A tutorial and case study,

Reference 2

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Observation 6c403cbb-98fb-44ba-8744-b70afbeaa980 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Language models are few-shot learners,

Reference 3

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Observation b696251a-627d-46f5-8a2a-2c5879b5cfd2 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Toward democratized generative ai in next-generation mobile edge networks,

Reference 4

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Observation f41ae847-d054-4b9e-a5e3-72d46c81ba79 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Mobile edge intelligence for large language models: A contemporary survey,

Reference 5

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Observation d0b9087d-657a-4a91-ab67-b2384add7e48 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Beyond the cloud: Edge inference for generative large language models in wireless networks,

Reference 6

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Observation fb65aa8d-9620-47ee-b875-db719e1e453c · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Llm-pruner: On the structural pruning of large language models,

Reference 7

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Observation b63eddb6-3fad-4fbb-b0ef-f0b4004e1d41 · outbound

This paper cites Survey on knowledge distillation for large language models: methods, evaluation, and application,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Survey on knowledge distillation for large language models: methods, evaluation, and application,

Reference 8

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source=pdf_text observed=2026-08-02T23:33:05.972043Z digest=sha256:03bb128ae32f892b78d508f597657e75e243c1c8c6ab1ec859924d5e115bc02f

Observation 0f05d887-180e-42ec-9e99-35e9349ae07a · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Smoothquant: Accurate and efficient post-training quantization for large language models,

Reference 9

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Observation a102f0a7-6c4d-4f1c-8a1b-b0b4545d9dc5 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Large language models (llms) inference offloading and resource allocation in cloud-edge computing: An active inference approach,

Reference 10

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source=pdf_text observed=2026-08-02T23:33:06.125794Z digest=sha256:97a0c792d1ed12dc2a9015e3cafc24b5ba7b1d0533d453ee32eed9e5245366b7

Observation ffb17922-e551-417d-8cd7-c6fc912fbc42 · outbound

This paper cites Efficient acceleration of deep learning inference on resource-constrained edge devices: A review,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Efficient acceleration of deep learning inference on resource-constrained edge devices: A review,

Reference 11

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Observation df5f499f-801b-441c-bed3-4b0fd63bdb3e · outbound

This paper cites Securing federated diffusion model with dynamic quantization for generative ai services in multiple-access artificial intelligence of things,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Securing federated diffusion model with dynamic quantization for generative ai services in multiple-access artificial intelligence of things,

Reference 12

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Observation b6ebff3f-6949-4dad-92f6-3fb939603c6f · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Edgeshard: Efficient llm inference via collaborative edge computing,

Reference 13

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source=pdf_text observed=2026-08-02T23:33:06.333771Z digest=sha256:074bf088c3ffce60bfbaa0b7a6c12788313b58728e0a706c227762505fc84a7a

Observation 501f1bd0-e268-4fb9-a33b-aa02cda4c293 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing A review on edge large language models: Design, execution, and applications,

Reference 14

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source=pdf_text observed=2026-08-02T23:33:06.418152Z digest=sha256:30c8a3b32f37806c5b8e8c5fd516b9e52ba54d2047260070a1f9a099d0414bed

Observation 0d678100-1cec-42d2-8a81-a7014722dc7a · outbound

This paper cites Qos-constrained medium access prob- ability optimization in wireless interference-limited networks,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Qos-constrained medium access prob- ability optimization in wireless interference-limited networks,

Reference 15

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Observation 2903b5b3-1a66-4b5a-a7f7-5c4531b220ce · outbound

This paper cites Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant

Reference 16

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Observation 42711c42-4f3a-488b-ae2c-8aef087c7a9e · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Sparsegpt: Massive language models can be accurately pruned in one-shot,

Reference 17

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Observation 91c8a6a1-4f7f-4aa5-9538-00e3436886bd · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Qlora: Efficient finetuning of quantized llms,

Reference 18

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Observation 0e00c2f6-aa14-4e55-aeb9-d43a6d462cd8 · outbound

This paper cites Low-rank few-shot adaptation of vision- language models,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Low-rank few-shot adaptation of vision- language models,

Reference 19

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Observation 64c60fdd-cada-45f5-8e4c-873d58da1f54 · outbound

This paper cites Deep learning for intelligent wireless networks: A comprehensive survey,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Deep learning for intelligent wireless networks: A comprehensive survey,

Reference 20

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Observation b2509125-ec50-4e45-846e-bb3098308591 · outbound

This paper cites A drl agent for jointly optimizing computation offloading and resource allocation in mec,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing A drl agent for jointly optimizing computation offloading and resource allocation in mec,

Reference 21

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Observation 3e52756e-512f-43ee-a2f4-cbdb9135d121 · outbound

This paper cites Meta-dt: Offline meta-rl as con- ditional sequence modeling with world model disentanglement,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Meta-dt: Offline meta-rl as con- ditional sequence modeling with world model disentanglement,

Reference 22

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source=pdf_text observed=2026-08-02T23:33:06.823344Z digest=sha256:0a3c0abad2075dfd94ff3b4ef3ec3838d146101217ec67dc82c02fb2597c2101

Observation d1a2c815-daef-4289-8efb-9c856cc09d19 · outbound

This paper cites Daydreamer: World models for physical robot learning,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Daydreamer: World models for physical robot learning,

Reference 23

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Observation 100447f9-8f0b-4083-a07a-b4d1a58485fd · outbound

This paper cites Cardreamer: Open-source learning platform for world model based autonomous driving,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Cardreamer: Open-source learning platform for world model based autonomous driving,

Reference 24

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Observation c5ace297-c78b-498f-8256-147a4f659033 · outbound

This paper cites The effectiveness of world models for continual reinforcement learning,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing The effectiveness of world models for continual reinforcement learning,

Reference 25

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Observation 18fffd09-a622-4dd6-9fac-1f9481f93b3a · outbound

This paper cites Birds in cages: Edge inference allocation for distributed llm deployment,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Birds in cages: Edge inference allocation for distributed llm deployment,

Reference 26

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Observation 064e65a2-a686-450e-ade3-50e746db885e · outbound

This paper cites Edge and terminal cooperation enabled llm deployment optimization in wireless network,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Edge and terminal cooperation enabled llm deployment optimization in wireless network,

Reference 27

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Observation 2376ee33-e59a-44d3-8680-fc65ac70dda2 · outbound

This paper cites Pushing large language models to the 6g edge: Vision, challenges, and opportunities,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Pushing large language models to the 6g edge: Vision, challenges, and opportunities,

Reference 28

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Observation e8817674-a158-40da-813b-a2bfe09bb40f · outbound

This paper cites A matching game for llm layer deployment in heterogeneous edge networks,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing A matching game for llm layer deployment in heterogeneous edge networks,

Reference 29

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source=pdf_text observed=2026-08-02T23:33:07.352827Z digest=sha256:d465495a3cc834f4744b004cd08305757643dea40133fcbeae5ddafad54d1458

Observation 8581a333-2d48-4dd6-b33b-3db53fd05564 · outbound

This paper cites Edge-llm: A collaborative framework for large language model serving in edge computing,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Edge-llm: A collaborative framework for large language model serving in edge computing,

Reference 30

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Observation e66d6dac-8b13-42ea-be44-b096ec14cab5 · outbound

This paper cites Decentralized llm deployment in mobile edge computing networks,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Decentralized llm deployment in mobile edge computing networks,

Reference 31

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source=pdf_text observed=2026-08-02T23:33:07.488709Z digest=sha256:7450f6cb3e82a9cc536200cc06b179188f8ef20c124522b6c2c474041818b0b2

Observation 0e26edfc-fdb7-454f-aa01-408fb90f7ced · outbound

This paper cites Compact lan- guage models via pruning and knowledge distillation,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Compact lan- guage models via pruning and knowledge distillation,

Reference 32

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source=pdf_text observed=2026-08-02T23:33:07.568219Z digest=sha256:2713c7caf74106ff3e2f11261b035c4501841843ba22d0e157932723bb702dbb

Observation c97f9a57-b65b-4e29-aa56-80a8fe2e8b61 · outbound

This paper cites World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks

Reference 33

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Observation 04196acc-f3d1-4aaf-9160-08c57d09a651 · outbound

This paper cites MobiWorld: World Models for Mobile Wireless Network.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing MobiWorld: World Models for Mobile Wireless Network

Reference 34

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source=pdf_text observed=2026-08-02T23:33:07.835136Z digest=sha256:62dc68b55ccbd7c802fa37f6471d16b4cc8059965659eb26eabf8e31b119cc5c

Observation 5fa89a4e-0fdc-4bc0-ad18-e5b3c017d604 · outbound

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

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks

Reference 35

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source=pdf_text observed=2026-08-02T23:33:07.950270Z digest=sha256:c6bf7d2d7c2794309b6322ce6c6c4a73c96d75543ce47e0070cbe01d3f3c6fd0

Observation cd87c3f6-640f-4837-ade3-37e02f9cfb3c · outbound

This paper cites DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets

Reference 36

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source=pdf_text observed=2026-08-02T23:33:08.050365Z digest=sha256:1c559b36e668310ce8696262a8dc2975464c9cb9b1c370a376be2a783747ff14

Observation b0b11fa4-f5bb-4ba6-b7a8-50f7c5896b29 · outbound

This paper cites Hape: Hardware-aware llm pruning for efficient on-device inference optimization,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Hape: Hardware-aware llm pruning for efficient on-device inference optimization,

Reference 37

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source=pdf_text observed=2026-08-02T23:33:08.152679Z digest=sha256:bfe0764e4c679180710878a96ca2c3b14173b7882401d52b5c87bc0d09f37446

Observation 63ff44be-917f-4b7c-aef1-aa25c18f4ae9 · outbound

This paper cites LLM Pruning and Distillation in Practice: The Minitron Approach.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing LLM Pruning and Distillation in Practice: The Minitron Approach

Reference 38

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source=pdf_text observed=2026-08-02T23:33:08.237234Z digest=sha256:3aa94c16350df4a8c4d54fb5cfc6ae3c70bbc8613d34cc475e4970314e86877b

Observation 8edefd09-c88a-43f6-ac82-dd8591312527 · outbound

This paper cites Agile-quant: Activation-guided quantization for faster inference of llms on the edge,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Agile-quant: Activation-guided quantization for faster inference of llms on the edge,

Reference 39

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source=pdf_text observed=2026-08-02T23:33:08.353408Z digest=sha256:88453953717de429b1da704bed1c83a5ab7c1078210da60d6ea4d261c49c14e8

Observation 95713150-63a7-4da9-90a3-73ea6e54f0d0 · outbound

This paper cites Halo: Hardware-aware quantization with low critical-path-delay weights for llm acceleration,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Halo: Hardware-aware quantization with low critical-path-delay weights for llm acceleration,

Reference 40

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source=pdf_text observed=2026-08-02T23:33:08.513399Z digest=sha256:a13591a3299b003cad564b6b53f7655a0aa719d1ce937a4f031da97a1bcc72ca

Observation 88412659-20f3-467d-9ef6-cd44f09c556a · outbound

This paper cites TVM: An automated End-to-End optimizing compiler for deep learning,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing TVM: An automated End-to-End optimizing compiler for deep learning,

Reference 41

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source=pdf_text observed=2026-08-02T23:33:08.673894Z digest=sha256:11b64c8c455fb44eaed1c8d1a82b53830c262af4502bfa10749e026c6443be6a

Observation b7e7216d-ac50-43a1-8e88-3483ad0215a2 · outbound

This paper cites The value of semantic parse labeling for knowledge base question answering,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing The value of semantic parse labeling for knowledge base question answering,

Reference 42

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source=pdf_text observed=2026-08-02T23:33:08.834972Z digest=sha256:6f14f2beb6157cad5a1acd5af029f26a20f1201a4b6bbf5035229a9937e19b31

Observation bb6b2f34-380c-4357-b21c-ae3c31e25953 · outbound

This paper cites Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,

Reference 43

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source=pdf_text observed=2026-08-02T23:33:08.997666Z digest=sha256:b0cbc5abed7f6feb8b851f3e51cbf376e7b8d27cab88f46b1ec99acd7c9b955d

Observation f7faf309-1c6d-46e4-b814-db0b53bc2aaf · outbound

This paper cites Energy efficiency maximization in ris-assisted swipt networks with rsma: A ppo-based approach,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Energy efficiency maximization in ris-assisted swipt networks with rsma: A ppo-based approach,

Reference 44

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no resolver link, observed 2026-08-02T23:33:09.169875Z

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source=pdf_text observed=2026-08-02T23:33:09.169875Z digest=sha256:c515a7df33263e0f43cac205849c2f59409728641a662b38bb1d7b24b346860f

Observation 27eb3b8f-6b6c-4c63-906d-22e5aaefbaf1 · outbound

This paper cites Ris-assisted wireless powered mec: Multiple access design and resource allocation,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Ris-assisted wireless powered mec: Multiple access design and resource allocation,

Reference 45

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no resolver link, observed 2026-08-02T23:33:09.335760Z

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source=pdf_text observed=2026-08-02T23:33:09.335760Z digest=sha256:a72d0be6d82e66ae360d73641b06a155ec367416601aac2f99155f94b8bd0c15

Observation 84ebc880-3675-45b1-afc9-28288b442184 · outbound

This paper cites Joint robust power control and task scheduling for vehicular offloading in cloud-assisted mec networks,.

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing Joint robust power control and task scheduling for vehicular offloading in cloud-assisted mec networks,

Reference 46

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source=pdf_text observed=2026-08-02T23:33:09.433685Z digest=sha256:fdebb255b0d54cfae646ebd60e33c14c7622116f3d033c4f55eb7871c11d12f3

Pith citing papers

No inbound Pith citation observations are available.