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Paper Citation Record · LEDGER

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks

As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.25480.

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

pith.paper-citation-record.v1
2606.25480 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T19:55:31.424515Z

measured 19 of 19 standing notices

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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.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2476711b-6634-4b66-9649-69d9db3ee44f · outbound

This paper cites Emerging trends in UA Vs: From placement, semantic communications to generative AI for mission-critical networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Emerging trends in UA Vs: From placement, semantic communications to generative AI for mission-critical networks,

Reference 1

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Observation 81585dce-1f48-47de-9e71-eac46573cfbd · outbound

This paper cites A survey on uav control with multi-agent reinforcement learning,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks A survey on uav control with multi-agent reinforcement learning,

Reference 2

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Observation 2d84c22a-7e0e-4f42-a18d-4352712d0675 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 280142119.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Available: https://api.semanticscholar.org/CorpusID: 280142119

Reference 3

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Observation 0f04c664-10a7-49c0-88c7-624353b0a2ff · outbound

This paper cites Generalized multiagent reinforcement learning for coverage path planning in unknown, dynamic, and haz- ardous environments,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Generalized multiagent reinforcement learning for coverage path planning in unknown, dynamic, and haz- ardous environments,

Reference 4

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:77474adf0014ab336a5b61e496a72ab57e7dca9588aba9e72c24877298ec1f2c

Observation c5100255-1511-4acb-8cd4-577d86db9696 · outbound

This paper cites Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems

Reference 5

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arxiv_id, observed 2026-07-04T20:40:07.907566Z

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.

source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:e258a92d3e3c5cdfc0dc341da9f29ff7c019115033cd5cc346bcc0564fe1dc5b

Observation 54f01f90-7ca4-40fc-8f73-cdfa166c9779 · outbound

This paper cites Dqn-based joint uav trajectory and association planning in ntn-assisted networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Dqn-based joint uav trajectory and association planning in ntn-assisted networks,

Reference 6

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arxiv_id, observed 2026-07-04T20:40:07.905873Z

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.

source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:56147b1f9778d5a89891b851c357de573726aeef5494568c18cf93bf1f295d6c

Observation 70ca78a5-121e-487d-88d2-0ec6be5b2f19 · outbound

This paper cites Path planning with multiple uavs considering the sensing range and improved k-means clustering in wsns,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Path planning with multiple uavs considering the sensing range and improved k-means clustering in wsns,

Reference 7

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:34a1a5064b60d8420b771a54e19ebc0e1a24adfe833d29508b1670ee55d8b864

Observation 36660c3d-1c0d-48c8-a033-b4624792c5d4 · outbound

This paper cites Joint resource and trajectory op- timization for energy efficiency maximization in uav-based networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Joint resource and trajectory op- timization for energy efficiency maximization in uav-based networks,

Reference 8

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Observation 29ea8047-16e1-42dd-9a57-18c47abf8b70 · outbound

This paper cites Joint optimization of trajectory and resource allocation for multi-uav-enabled wireless-powered communication networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Joint optimization of trajectory and resource allocation for multi-uav-enabled wireless-powered communication networks,

Reference 9

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:38a36a35de8407a80e42c8edebd64544d36d0b1972ef40ad590cd3e8541c91bd

Observation 646b4d6d-1913-4faf-ab77-3892b016117d · outbound

This paper cites Phase and 3-D placement optimization for rate enhancement in ris-assisted UA V networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Phase and 3-D placement optimization for rate enhancement in ris-assisted UA V networks,

Reference 10

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Observation 01b1f8e4-ceb8-4ffb-83a3-b6f8a2201fb6 · outbound

This paper cites Quantum annealing for complex optimization in satellite communication systems,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Quantum annealing for complex optimization in satellite communication systems,

Reference 11

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:e98c5f94dc84bb423d7f09638bb010ed43a2cfb3997447610aa4bc5df871b510

Observation 55a47134-64c0-4fc0-8c66-917f91320bde · outbound

This paper cites Quantum-annealing-based sum rate maximization for multi-uav-aided wireless networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Quantum-annealing-based sum rate maximization for multi-uav-aided wireless networks,

Reference 12

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:1ef3d85988e06fe116b9798cbc7f2317d1762dcd0660fedceab6f392f5d2adf1

Observation 3f3c3e90-d645-4a71-a82d-2479ed65d422 · outbound

This paper cites Non-iterative optimization of trajectory and radio resource for aerial network,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Non-iterative optimization of trajectory and radio resource for aerial network,

Reference 13

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:db175a80285d8d0b5265e46ea79eb5a1599a0e4c83e2b89dd21e77fd656c38b4

Observation d959b711-c890-4731-acb8-1c8149f9b01c · outbound

This paper cites Path planning for cellular- connected UA V: A DRL solution with quantum-inspired experience replay,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Path planning for cellular- connected UA V: A DRL solution with quantum-inspired experience replay,

Reference 14

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:ef9b2fc1366c30b6d6224e776db27324167f94f6777b944ccce5a972bf2921e3

Observation 6b91dd19-6cc1-4b86-a9b7-4bbcfceddfba · outbound

This paper cites Layerwise quantum deep reinforcement learning for joint optimization of UA V trajectory and resource allocation,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Layerwise quantum deep reinforcement learning for joint optimization of UA V trajectory and resource allocation,

Reference 15

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Observation 306fa07a-7c70-4e2b-937b-45b31b47f7f0 · outbound

This paper cites Quantum-driven state-reduction for reliable UA V trajectory optimiza- tion in low-altitude networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Quantum-driven state-reduction for reliable UA V trajectory optimiza- tion in low-altitude networks,

Reference 16

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:22a9d598c999e2d646b23c1edf16287041c547c8f1348cfa21615fb4a889ea98

Observation 712bf1eb-f6c1-4f58-8b8e-1e5da9df95e6 · outbound

This paper cites Cooperative trajectory design of multiple uav base stations with heterogeneous graph neural networks,.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks Cooperative trajectory design of multiple uav base stations with heterogeneous graph neural networks,

Reference 17

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:0cd6f64fc68ab21f2ac40130edde9bef3f636fc720233b4d441e8f90e94e82ee

Observation 34947049-bf04-475b-96ba-072112f893c6 · outbound

This paper cites de- gree in Computer Science, specializing in Artifi- cial Intelligence, at the National School of Ap- plied Sciences of Kenitra (ENSA-K), Morocco.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks de- gree in Computer Science, specializing in Artifi- cial Intelligence, at the National School of Ap- plied Sciences of Kenitra (ENSA-K), Morocco

Reference 18

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source=pdf_text observed=2026-06-25T19:55:31.424515Z digest=sha256:b4b41d932c6e866931387e5f686ee277f461021b1c140ffdd9e47d52cb848e14

Observation 3e07b2d2-4ecb-4cd0-a913-31116b1c6e52 · outbound

This paper cites in Electron- ics Engineering from Hanyang University, and Inha University, South Korea in 2010 and 2016, respectively.

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks in Electron- ics Engineering from Hanyang University, and Inha University, South Korea in 2010 and 2016, respectively

Reference 19

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Pith citing papers

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