Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.606756Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.648868Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.695535Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.741181Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.796774Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.869519Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.923810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:05.972043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.046370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.125794Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.205667Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.258486Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.333771Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.418152Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.472952Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.552815Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.606562Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.660869Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.740621Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.754639Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.761148Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.823344Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.913451Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:06.990038Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.055252Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.122379Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.195565Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.269463Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.352827Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.411990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.488709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.568219Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.672873Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.835136Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:07.950270Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.050365Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.152679Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.237234Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.353408Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.513399Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.673894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.834972Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:08.997666Z

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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

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

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Unavailable: canonical work link unavailable.

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

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

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:09.433685Z

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Pith citing papers

No inbound Pith citation observations are available.