Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2510.05698.

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

pith.paper-citation-record.v1
2510.05698 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:20:14.730085Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d8c436c-3639-4213-b2e7-ea55b0124dc3 · outbound

This paper cites Multi uav based traffic control in smart cities,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Multi uav based traffic control in smart cities,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:11.534436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca18782-8289-4b3a-89f3-8336d726f513 · outbound

This paper cites Unmanned aerial vehicles for package delivery and network coverage,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Unmanned aerial vehicles for package delivery and network coverage,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:11.669726Z

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Observation 2d008ad2-1db3-4ba7-a440-339ca854523b · outbound

This paper cites Topographic data acquisition in tsunami-prone coastal area using unmanned aerial vehicle (uav),.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Topographic data acquisition in tsunami-prone coastal area using unmanned aerial vehicle (uav),

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:11.900555Z

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Observation bf52af8e-58ac-42eb-ae8a-cb0c87dfed11 · outbound

This paper cites (2025) Tsunamis – health impacts and who response.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring (2025) Tsunamis – health impacts and who response

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:11.970753Z

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Observation e727cf84-f14c-448d-91ff-bab3f5bf20bd · outbound

This paper cites Generalising rescue operations in disaster scenarios using drones: A lifelong reinforcement learning approach,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Generalising rescue operations in disaster scenarios using drones: A lifelong reinforcement learning approach,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.106256Z

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Unavailable: canonical work link unavailable.

Observation f242011f-9782-4dcc-bc5c-7e7195595a4d · outbound

This paper cites Deep reinforcement learning: A survey,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Deep reinforcement learning: A survey,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.146635Z

Source-reported events for the cited work

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Observation 420473ed-eda5-4054-b77e-be21e20e023b · outbound

This paper cites Data-driven flight control of internet-of-drones for sensor data aggregation using multi-agent deep reinforcement learning,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Data-driven flight control of internet-of-drones for sensor data aggregation using multi-agent deep reinforcement learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.206301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68298157-839f-4190-86f8-1d043a25fe56 · outbound

This paper cites A review on large language models: Architectures, applications, taxonomies, open issues and challenges,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring A review on large language models: Architectures, applications, taxonomies, open issues and challenges,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.278053Z

Source-reported events for the cited work

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

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

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.

Observation 7924d6e3-2e49-4a26-86a6-243d0442b736 · outbound

This paper cites Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.420861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d1b64e6-4ba9-4bf6-922d-effaad1c989f · outbound

This paper cites Online velocity control and data capture of drones for the internet of things: An onboard deep reinforcement learning approach,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Online velocity control and data capture of drones for the internet of things: An onboard deep reinforcement learning approach,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.506744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb04f6fe-468e-4313-b135-ec15410a75da · outbound

This paper cites The mystery of in- context learning: A comprehensive survey on interpretation and analysis,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring The mystery of in- context learning: A comprehensive survey on interpretation and analysis,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.618752Z

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Unavailable: canonical work link unavailable.

Observation 913f137b-fa64-4518-98ae-51a6719f9c73 · outbound

This paper cites Llm-based edge intelligence: A comprehensive sur- vey on architectures, applications, security and trustworthiness,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Llm-based edge intelligence: A comprehensive sur- vey on architectures, applications, security and trustworthiness,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.731696Z

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Unavailable: canonical work link unavailable.

Observation 04d2846c-d011-434d-b2c3-db36abfd7c63 · outbound

This paper cites Aero-llm: A distributed framework for secure uav communication and intelligent decision-making,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Aero-llm: A distributed framework for secure uav communication and intelligent decision-making,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.873448Z

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Unavailable: canonical work link unavailable.

Observation 45d0cfc9-7743-4e64-b982-67941f7d520c · outbound

This paper cites Llm-enabled in-context learning for data collection scheduling in uav-assisted sensor networks,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Llm-enabled in-context learning for data collection scheduling in uav-assisted sensor networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:12.988070Z

Source-reported events for the cited work

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Observation 181f41e2-29bb-483e-bd66-70e84b86e156 · outbound

This paper cites From prompts to protection: Large language model-enabled in-context learning for smart public safety uav,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring From prompts to protection: Large language model-enabled in-context learning for smart public safety uav,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.115477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5eb51ab-f721-4443-a45a-88a76bfb495b · outbound

This paper cites Frsicl: Llm-enabled in-context learning flight resource allocation for fresh data collection in uav-assisted wildfire monitoring,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Frsicl: Llm-enabled in-context learning flight resource allocation for fresh data collection in uav-assisted wildfire monitoring,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.228040Z

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Observation c81f254c-271e-4fa6-b5c2-4c5ec8e1909e · outbound

This paper cites Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.374410Z

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Unavailable: canonical work link unavailable.

Observation a7d499e4-6d97-4929-b0cd-102d085017cc · outbound

This paper cites A Survey on In-context Learning.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring A Survey on In-context Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.514102Z

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Unavailable: canonical work link unavailable.

Observation 168228a7-20c5-4614-bc4e-e8f28be1141a · outbound

This paper cites Large language models in wireless application design: In-context learning-enhanced au- tomatic network intrusion detection,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Large language models in wireless application design: In-context learning-enhanced au- tomatic network intrusion detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.576955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3a6646-8112-4cb6-8165-26f123b12776 · outbound

This paper cites Leveraging large language models for wireless symbol detection via in-context learning,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Leveraging large language models for wireless symbol detection via in-context learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.654476Z

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Unavailable: canonical work link unavailable.

Observation 71e6e476-a898-4c80-ab82-1e8dfb7aa7e9 · outbound

This paper cites Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.727839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07778636-ce17-44d9-ae43-3c9843c38bd9 · outbound

This paper cites Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.778254Z

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Unavailable: canonical work link unavailable.

Observation 0d546668-839f-4bcc-8f84-0efca3f49b79 · outbound

This paper cites UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.859247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7819e20a-2d8e-4a4e-8562-438e8bf3d910 · outbound

This paper cites Large language models for uavs: Current state and pathways to the future,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Large language models for uavs: Current state and pathways to the future,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:13.932646Z

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Unavailable: canonical work link unavailable.

Observation 7199f101-0b8c-4001-a627-a443a9add35c · outbound

This paper cites Net-gpt: A llm-empowered man-in-the-middle chatbot for unmanned aerial vehicle,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Net-gpt: A llm-empowered man-in-the-middle chatbot for unmanned aerial vehicle,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:14.030115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef68ea87-0041-43ae-9463-ab3bfda9e3ff · outbound

This paper cites Enhancing autonomous system security and resilience with generative ai: A compre- hensive survey,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Enhancing autonomous system security and resilience with generative ai: A compre- hensive survey,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:14.087916Z

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Unavailable: canonical work link unavailable.

Observation 93316c48-d4fc-4b7d-90a4-941ec1218cf0 · outbound

This paper cites Large model based agents: State-of-the-art, cooperation paradigms, security and privacy, and future trends,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Large model based agents: State-of-the-art, cooperation paradigms, security and privacy, and future trends,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:14.189252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a05e326-953e-4272-9ed4-223f4f273784 · outbound

This paper cites Optimal lap altitude for maximum coverage,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Optimal lap altitude for maximum coverage,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:14.341346Z

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Unavailable: canonical work link unavailable.

Observation ff5a0256-9875-4078-a8c7-5ef2b141c312 · outbound

This paper cites Joint communication scheduling and velocity control in multi-uav-assisted sensor networks: A deep reinforcement learning approach,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Joint communication scheduling and velocity control in multi-uav-assisted sensor networks: A deep reinforcement learning approach,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:14.502691Z

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Unavailable: canonical work link unavailable.

Observation 97b0675a-a008-4b6d-b21e-73deef69c740 · outbound

This paper cites On-board deep q-network for uav-assisted online power transfer and data collection,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring On-board deep q-network for uav-assisted online power transfer and data collection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:14.614203Z

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Unavailable: canonical work link unavailable.

Observation 2ffbfc5e-b57c-4da2-adfa-7eb5eb84965e · outbound

This paper cites Joint flight cruise control and data collection in uav-aided internet of things: An onboard deep reinforcement learning approach,.

AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Joint flight cruise control and data collection in uav-aided internet of things: An onboard deep reinforcement learning approach,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T11:20:14.730085Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.