Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:33:17.652400Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.26602.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:33:17.652400Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
15 of 15 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b39ddfea-8e04-42c3-9e6b-eba31c098612 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Large language models empowered autonomous edge ai for connected intelligence,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 970fb41c-955c-48b4-add8-b48aa229d8a8 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Resource allocation driven by large models in future semantic-aware networks,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 653b6602-34ac-48fa-98bf-1aa8447d1b77 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Towards general industrial intelligence: A survey of large models as a service in industrial iot,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37b8f5a1-8f53-4375-851c-b2ec84939c78 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything The internet of everything: A survey,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ee42dad-711f-4ad0-bee5-38f2a511eeaf · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Resources scheduling for ambient backscatter communication-based intelligent iiot: A collective deep reinforcement learning method,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a09b00d6-5cba-470a-90a0-04ff3850b6f6 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Toward intelligent resource allocation on task-oriented semantic communication,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96aa650c-e26d-42c3-816c-2151c96a373d · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Green deep reinforcement learning for radio resource management: Architecture, algorithm compression, and challenges,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7dff17f-32d5-488d-a76b-444fad201cc3 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Resource allocation and task scheduling in fog computing and internet of every- thing environments: A taxonomy, review, and future directions,
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42629030-4f43-4b03-a6fe-fbf3ac8f676c · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Large language models for networking: Workflow, advances and challenges,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb5d7a84-fb5a-4ef6-936f-384c60f1912e · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything LLM-Empowered Resource Allocation in Wireless Communications Systems
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a50547f-c7bb-4306-9d9f-eb1cdaca1df8 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Llmind: Orchestrating ai and iot with llm for complex task execution,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40f06a31-fbea-4458-9ae5-6d6faebddf7f · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Tool-aided evolutionary llm for generative policy toward efficient resource manage- ment in wireless federated learning,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60bef061-1382-4960-af68-ce1dad90f1a0 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Large language models (llms) inference offloading and resource allocation in cloud-edge com- puting: An active inference approach,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e211f146-5cac-4bc8-a5c4-35658d845dd3 · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Enhancing llm qos through cloud-edge collaboration: A diffusion-based multi-agent reinforcement learning approach,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71c84458-93ee-4e33-abc3-1624aa68514f · outbound
Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Llm-assisted reinforcement learning: Leveraging lightweight large language model capabilities for efficient task scheduling in multi- cloud environment,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.