Paper Citation Record · LEDGER

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN

As of 24 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.24483.

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

pith.paper-citation-record.v1
2606.24483 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T22:26:40.007372Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

27 of 27 outbound references displayed

verified exact3
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3088918b-7eec-42f8-8a81-b585e59ca03f · outbound

This paper cites Towards Sustainability in 6G and beyond: Challenges and Opportunities of Open RAN.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Towards Sustainability in 6G and beyond: Challenges and Opportunities of Open RAN

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:50:04.731717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10a6b3fa-2333-489a-8e56-cca1fd68e580 · outbound

This paper cites Advancing uav communications: A com- prehensive survey of cutting-edge machine learning techniques,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Advancing uav communications: A com- prehensive survey of cutting-edge machine learning techniques,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

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Unavailable: canonical work link unavailable.

Observation d436b8e2-6e38-456b-b195-983e9a84eccf · outbound

This paper cites A tutorial on uavs for wireless networks: Applications, challenges, and open problems,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN A tutorial on uavs for wireless networks: Applications, challenges, and open problems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

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Observation 3b465d52-0507-4619-afdc-e0bc497c832e · outbound

This paper cites Deep reinforcement learning for dynamic band switch in cellular-connected uav,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Deep reinforcement learning for dynamic band switch in cellular-connected uav,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

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Unavailable: canonical work link unavailable.

Observation 4b599427-0e4a-456e-9b14-4a05285b8a05 · outbound

This paper cites Autonomous UAV Navigation Using Reinforcement Learning.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Autonomous UAV Navigation Using Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:50:04.736991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7dbba2c-a1d2-45f1-a244-0d4b74884306 · outbound

This paper cites Intelligent trajectory design in UA V-aided communications with reinforcement learning,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Intelligent trajectory design in UA V-aided communications with reinforcement learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57f8744d-7c32-4e67-8a60-026e0012e7af · outbound

This paper cites Autonomous uav navigation: A ddpg-based deep reinforcement learning approach,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Autonomous uav navigation: A ddpg-based deep reinforcement learning approach,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3abe9773-79f4-462d-8880-e17ce2f44307 · outbound

This paper cites 3D UA V trajectory design and fre- quency band allocation for energy-efficient and fair communication: A deep reinforcement learning approach,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN 3D UA V trajectory design and fre- quency band allocation for energy-efficient and fair communication: A deep reinforcement learning approach,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16722acf-badb-4b92-a5fc-b931ab71d7c9 · outbound

This paper cites Deep reinforcement learning multi-UA V trajectory control for target tracking,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Deep reinforcement learning multi-UA V trajectory control for target tracking,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4cdefa-6d25-4482-909d-5d4d2185d5bf · outbound

This paper cites UA V trajectory planning in wireless sensor networks for energy consumption minimization by deep reinforcement learning,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN UA V trajectory planning in wireless sensor networks for energy consumption minimization by deep reinforcement learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a920ab6-d794-4cca-a79a-91c43b52f2c8 · outbound

This paper cites Rein- forcement learning for energy efficiency improvement in uav-bs access networks: A knowledge transfer scheme,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Rein- forcement learning for energy efficiency improvement in uav-bs access networks: A knowledge transfer scheme,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

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Unavailable: canonical work link unavailable.

Observation bd4ff054-4e7d-4027-88ef-1084035f8117 · outbound

This paper cites An efficient trajectory planning for cellular-connected uav under the connectivity constraint,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN An efficient trajectory planning for cellular-connected uav under the connectivity constraint,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

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Unavailable: canonical work link unavailable.

Observation bd54607d-03b3-49e8-8ee4-9f9e0138c02a · outbound

This paper cites Optimal trajectory learning for uav-mounted mobile base stations using rl and greedy algorithms,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Optimal trajectory learning for uav-mounted mobile base stations using rl and greedy algorithms,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30188114-3b99-49e7-a35b-af4cbb025bb4 · outbound

This paper cites 3d uav placement and trajectory optimization in uav assisted wireless networks,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN 3d uav placement and trajectory optimization in uav assisted wireless networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3faf936b-5424-4231-a2c4-91a17c8d36f5 · outbound

This paper cites Connectivity-aware uav path planning with aerial coverage maps,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Connectivity-aware uav path planning with aerial coverage maps,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec23eb2-49a0-475d-8de9-4369ba22cddc · outbound

This paper cites Trajectory design for UA V- assisted emergency communications: A transfer learning approach,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Trajectory design for UA V- assisted emergency communications: A transfer learning approach,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6b86d8-62c6-47b0-848a-4466391a1e2d · outbound

This paper cites A transfer learning approach for UA V path design with connectivity outage constraint,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN A transfer learning approach for UA V path design with connectivity outage constraint,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae8d087-a813-4475-a32a-9728ed464281 · outbound

This paper cites Knowledge transfer between different UA Vs for trajectory tracking,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Knowledge transfer between different UA Vs for trajectory tracking,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c7a6c8-33ab-44c8-9709-131c8ec90f96 · outbound

This paper cites Distributed multi- agent meta learning for trajectory design in wireless drone networks,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Distributed multi- agent meta learning for trajectory design in wireless drone networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c99d7b2-6237-4bbf-84ac-23b666c1b99c · outbound

This paper cites Distributed multi- agent meta learning for trajectory design in wireless drone networks,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Distributed multi- agent meta learning for trajectory design in wireless drone networks,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2a8b11-d52a-4de6-b812-4764f805cab1 · outbound

This paper cites Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:50:04.734463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbef30b1-de4d-424f-a268-4655b596cbb4 · outbound

This paper cites Autonomous uav trajectory for localizing ground objects: A reinforcement learning approach,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Autonomous uav trajectory for localizing ground objects: A reinforcement learning approach,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0c4962-f29f-4ea7-998a-dd92f034fa00 · outbound

This paper cites Ddqn-based trajectory and resource optimization for uav-aided mec secure communications,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Ddqn-based trajectory and resource optimization for uav-aided mec secure communications,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a30ecd0-5c31-4e57-90f4-88a1b6cf27bd · outbound

This paper cites Continuous transfer learning for uav communication-aware trajectory design,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Continuous transfer learning for uav communication-aware trajectory design,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b34f6b1c-4522-4a7d-a065-645b0c141b59 · outbound

This paper cites An sbr based ray tracing channel modeling method for thz and massive mimo communications,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN An sbr based ray tracing channel modeling method for thz and massive mimo communications,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ec103e-2d9b-4b54-82d9-28e0b801fbbd · outbound

This paper cites Energy consumption reduction for uav trajectory training: A transfer learning approach,.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Energy consumption reduction for uav trajectory training: A transfer learning approach,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

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Unavailable: canonical work link unavailable.

Observation 362f9f3c-baaa-4fbf-a85f-a2cf460ac853 · outbound

This paper cites Inc.,Wireless InSite Reference Manual, Version 3.3.3, 2023, available at https://www.remcom.com/wireless-insite.

Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN Inc.,Wireless InSite Reference Manual, Version 3.3.3, 2023, available at https://www.remcom.com/wireless-insite

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-25T22:26:40.007372Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.