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Paper Citation Record · LEDGER

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2408.00214.

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

pith.paper-citation-record.v1
2408.00214 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:31.472001Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:30:00.128559Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b55f9d2c-3dd7-496b-b521-e9eeb8f1a4ff · inbound

Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model cites this paper.

Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:31.472001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:31.472001Z digest=sha256:3ca6f34458ee5fa3969b363bf89d5aee5fc7c0f6daf1455baedf61017fce2d2e

Observation 556ad245-7c71-477d-b078-549ff7f9503a · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 150

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:31.978340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:31.978340Z digest=sha256:a3e434f0fc10f031ebbf317c967044e06152fc15f977d9cc7cd32e5a56f8059e

Observation 16374c30-7c65-42a2-b293-4253dcd8d5b8 · inbound

Embodied AI-empowered Low Altitude Economy: Integrated Sensing, Communications, Computation, and Control (ISC3) cites this paper.

Embodied AI-empowered Low Altitude Economy: Integrated Sensing, Communications, Computation, and Control (ISC3) Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T23:44:56.292397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:44:56.292397Z digest=sha256:979f5bfdb0e8f019736fa3f1bc7914e0f77d87ead5906f54b0875936bdc986bc

Observation 40adf2d7-2ad4-402d-88e1-6de17877f60f · inbound

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain cites this paper.

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:46.612991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:46.612991Z digest=sha256:d7d69a2a52e229857f2647821eaac8e542a17499c151f33cb8093f1a414aad6b

Observation 1098ad89-1738-4e71-bcba-631009c460c7 · inbound

Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM cites this paper.

Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:37.484882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:37.484882Z digest=sha256:31529b61f7911d8ba2cd432357206768917231e72ae4f75e1445eae6578538d5

Observation f503e695-48a6-4b31-aa49-cb0846fc3530 · inbound

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management cites this paper.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:21.160295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:21.160295Z digest=sha256:a46784fd053a82578a60fac40672b3c33112abf83bb963fb8bead31ba2a76dc6

Observation 166a5ffc-b121-4f23-b5fa-2831aab06aab · inbound

Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks cites this paper.

Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:45.797496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:57:45.797496Z digest=sha256:5534e4550c4b21456e8aa3530e28af86b1f0c1142cf0ac1a6cfc3d94849fee08

Observation a1cc5ea0-c104-4ff4-9977-01e3d78af907 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:54.967574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:54.967574Z digest=sha256:9214957cd727a033225a90d59c2831fb429e935f7637032ab4a589a27443600f

Observation 8cfc1850-8abb-4aef-a04a-9638105ae615 · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 227

Resolution
unresolved
no resolver link, observed 2026-08-04T20:55:41.961677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.961677Z digest=sha256:9b2d37d302cca421cf673370914dc096fd1928cc4445e5305544e7c0275df368

Observation 3013f5d1-f4f0-4cfa-988a-3772fe79410e · inbound

When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective cites this paper.

When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-04T16:33:30.246479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:33:30.246479Z digest=sha256:edc56c38bdbd5fcc0caa5af239339acfc950284361aedc475639fec604b5a4f6

Observation 3e76d248-d16c-4d5a-add0-8e9e7b8b4c15 · inbound

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring cites this paper.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T11:20:12.346207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:20:12.346207Z digest=sha256:fd15f98aca7baae3723943b7aca5be300050bcfa61440754884a331dde3fb17b

Observation c5aa311b-2e77-4694-9ef5-6ee9db09cdd1 · inbound

Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV cites this paper.

Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:36:05.289956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T17:26:13.034726Z digest=sha256:f751898aa7b13ad09d759dc69381debeb93ad8a9862bd808cc75e340ef56a7a9

Observation 0851e050-6ac6-4883-ab6a-1d87845ebfc6 · inbound

Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systems cites this paper.

Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systems Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:30:00.130231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T23:41:53.531425Z digest=sha256:fc09035c43b2d6f01f21d473f94c7166b30d1ce634caa454239d755ff5d9bca9

Observation bc5d5e6e-f92e-4638-bab5-615c63cfe051 · inbound

Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systems cites this paper.

Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systems Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T10:24:52.740347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:24:52.740347Z digest=sha256:36a12e71f3015076977fe2b0b2747e47c1f28a38846a5b730b3c67826cbc22c2