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Paper Citation Record · LEDGER

Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything

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.

pith.paper-citation-record.v1
2607.26602 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:33:17.652400Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b39ddfea-8e04-42c3-9e6b-eba31c098612 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:15.647627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:15.647627Z digest=sha256:50c501876df8a2be3d7d724ef2938504779f7637016d588598fee41b309b294a

Observation 970fb41c-955c-48b4-add8-b48aa229d8a8 · outbound

This paper cites Resource allocation driven by large models in future semantic-aware networks,.

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

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unresolved
no resolver link, observed 2026-08-01T12:33:15.717827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:15.717827Z digest=sha256:95852d4ae10689977ec69b12a70908e6b11b94539d4b0467d94ca025399025dd

Observation 653b6602-34ac-48fa-98bf-1aa8447d1b77 · outbound

This paper cites Towards general industrial intelligence: A survey of large models as a service in industrial iot,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:15.854870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:15.854870Z digest=sha256:7f378a4ea6569806a2fd08f51b52feeb6d7b263476d03da299bdd69e829191d1

Observation 37b8f5a1-8f53-4375-851c-b2ec84939c78 · outbound

This paper cites The internet of everything: A survey,.

Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything The internet of everything: A survey,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:15.988419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:15.988419Z digest=sha256:b9f6b389fb91dd4e9a315e4c0d18e312784695f12554dd0b9063fab5ea8574e3

Observation 2ee42dad-711f-4ad0-bee5-38f2a511eeaf · outbound

This paper cites Resources scheduling for ambient backscatter communication-based intelligent iiot: A collective deep reinforcement learning method,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:16.106346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:16.106346Z digest=sha256:3cb015060254184b1966b8ab0aaf54dc9b4acaa777a1731350209144ab18209b

Observation a09b00d6-5cba-470a-90a0-04ff3850b6f6 · outbound

This paper cites Toward intelligent resource allocation on task-oriented semantic communication,.

Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Toward intelligent resource allocation on task-oriented semantic communication,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:16.200782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:16.200782Z digest=sha256:8f8ad961a1fa925aa7e77058fa8920994389c757e54ca117ed2410f1ed1fcdad

Observation 96aa650c-e26d-42c3-816c-2151c96a373d · outbound

This paper cites Green deep reinforcement learning for radio resource management: Architecture, algorithm compression, and challenges,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:16.314752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:16.314752Z digest=sha256:f451200a330e11f2fc4e11152febd1bc0e26e26f2664e50e6c473d73935ce3f2

Observation e7dff17f-32d5-488d-a76b-444fad201cc3 · outbound

This paper cites Resource allocation and task scheduling in fog computing and internet of every- thing environments: A taxonomy, review, and future directions,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:16.397266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:16.397266Z digest=sha256:d3ee85ef4f19f6ced8232275930f09442fcb8634a1da7781a8bb06f768f6de3f

Observation 42629030-4f43-4b03-a6fe-fbf3ac8f676c · outbound

This paper cites Large language models for networking: Workflow, advances and challenges,.

Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything Large language models for networking: Workflow, advances and challenges,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:16.518509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:16.518509Z digest=sha256:8f8f6b32d9cef2c9befd9da34a49846a00262794b1c509d3d43e599bdc225d20

Observation cb5d7a84-fb5a-4ef6-936f-384c60f1912e · outbound

This paper cites LLM-Empowered Resource Allocation in Wireless Communications Systems.

Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything LLM-Empowered Resource Allocation in Wireless Communications Systems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:16.901565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:16.901565Z digest=sha256:a58784b4fc820d77611a5fa800d85d099a672c179b5303c3d7b832d370690b1e

Observation 4a50547f-c7bb-4306-9d9f-eb1cdaca1df8 · outbound

This paper cites Llmind: Orchestrating ai and iot with llm for complex task execution,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:17.055931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:17.055931Z digest=sha256:59ebeab3ca673f0b57964c8b4ca0473a8dc7ff9e08425c0202672b9b0e705829

Observation 40f06a31-fbea-4458-9ae5-6d6faebddf7f · outbound

This paper cites Tool-aided evolutionary llm for generative policy toward efficient resource manage- ment in wireless federated learning,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:17.193041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:17.193041Z digest=sha256:9a80a937b9ce079423cab5fc93e2e42af1506fc8bf3421fa68a831bac9ebed05

Observation 60bef061-1382-4960-af68-ce1dad90f1a0 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:17.286504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:17.286504Z digest=sha256:acb49cd9755f3ccbe8367f095c002eca530cda4aafb507d4addc88283b32fcee

Observation e211f146-5cac-4bc8-a5c4-35658d845dd3 · outbound

This paper cites Enhancing llm qos through cloud-edge collaboration: A diffusion-based multi-agent reinforcement learning approach,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:17.428017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:17.428017Z digest=sha256:7b1ac1337d91960684ddd7b8c67da65dc5448b4c417c0f26390c1723c1919d8a

Observation 71c84458-93ee-4e33-abc3-1624aa68514f · outbound

This paper cites Llm-assisted reinforcement learning: Leveraging lightweight large language model capabilities for efficient task scheduling in multi- cloud environment,.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T12:33:17.652400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:33:17.652400Z digest=sha256:98f06f2deef22c152924a52de5e7ce522620bb10d093658e7e1efc6b88129a8a

Pith citing papers

No inbound Pith citation observations are available.