Paper Citation Record · LEDGER

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.03378.

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

pith.paper-citation-record.v1
2608.03378 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:08:42.832965Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

33 of 33 outbound references displayed

verified exact1
verified fuzzy25
unresolved7
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b46c7034-1466-4292-9786-8532b5f2727c · outbound

This paper cites Wind tunnel and hover performance test results for multicopter UAS vehicles,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Wind tunnel and hover performance test results for multicopter UAS vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:47.796450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3aac7894-019c-48d7-96b8-48dc892c2d28 · outbound

This paper cites Wind tunnel test of an unmanned aerial vehicle (UA V),.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Wind tunnel test of an unmanned aerial vehicle (UA V),

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:47.629393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 792ea295-d808-40f2-ad06-31f36f8c36e8 · outbound

This paper cites Development of a wind tunnel experimental setup for testing multirotor unmanned aerial vehicles in turbulent conditions,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Development of a wind tunnel experimental setup for testing multirotor unmanned aerial vehicles in turbulent conditions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:47.407307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 469b81b2-cb10-45ea-911d-72c8123edaf3 · outbound

This paper cites Commercial wind-tunnels for UA Vs testing,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Commercial wind-tunnels for UA Vs testing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:47.221624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86c283bc-bff6-4394-a307-11e64d576a58 · outbound

This paper cites Science, technology and the future of small autonomous drones,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Science, technology and the future of small autonomous drones,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:39.697585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa32df3-803c-49a7-b309-4fa304650fbc · outbound

This paper cites Lift production in the hovering hummingbird,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Lift production in the hovering hummingbird,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:47.056618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8df11c49-5d19-4b42-8f07-56899c4dd3e3 · outbound

This paper cites Acoustic and aerodynamic design and characterization of a small-scale aeroacoustic wind tunnel,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Acoustic and aerodynamic design and characterization of a small-scale aeroacoustic wind tunnel,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:46.867751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77276c93-d2c8-431d-8c3a-c3f26b12e4e5 · outbound

This paper cites Design and performance of a small-scale aeroacoustic wind tunnel,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Design and performance of a small-scale aeroacoustic wind tunnel,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:46.706620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efe28585-8acc-41ca-aad4-126a6fa0d5a7 · outbound

This paper cites Atmospheric boundary layer sim- ulation in a new open-jet facility at LSU: CFD and experimental investigations,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Atmospheric boundary layer sim- ulation in a new open-jet facility at LSU: CFD and experimental investigations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:46.512847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 258f9da5-030b-496b-8a1c-c698f2c9a051 · outbound

This paper cites Realization of a large-scale turbulence field in a small wind tunnel,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Realization of a large-scale turbulence field in a small wind tunnel,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:46.297787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da5c009a-6f15-47a4-b86a-b5ae3eea22d4 · outbound

This paper cites Atmospheric turbulence simulation tech- niques with application to flight analysis,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Atmospheric turbulence simulation tech- niques with application to flight analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:46.170583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d60495ab-cf1d-4376-ad3f-a16f31f5a74c · outbound

This paper cites an unresolved cited work.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:08:46.011525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93cad9c9-2d6f-4695-a2f7-9ffc86041372 · outbound

This paper cites an unresolved cited work.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:08:45.837171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6ccad98-3333-4823-a5c8-bd155bf2d770 · outbound

This paper cites Propeller-wing interaction using rapid computational methods,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Propeller-wing interaction using rapid computational methods,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:45.652734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab6b4949-512e-4903-8378-648b407fdbb3 · outbound

This paper cites Computational study of propeller–wing aerodynamic interaction,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Computational study of propeller–wing aerodynamic interaction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:45.433829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4e1fd86-41b4-4423-b940-9b507f3fccae · outbound

This paper cites Evaluating the longitudinal stability of an UA V using a CFD-6dof model,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Evaluating the longitudinal stability of an UA V using a CFD-6dof model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:45.237565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e081a04-0ed2-4477-9a14-bcc5d844682c · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:41.381480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7028c7-c5b8-4615-9b64-552c6a81087a · outbound

This paper cites Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:41.448922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36497bd9-13e9-4220-ac66-db763f5e2c92 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:41.553336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab63f52-1c19-4e66-9626-b5921528b3b9 · outbound

This paper cites Physics- informed neural networks (PINNs) for fluid mechanics: A review,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Physics- informed neural networks (PINNs) for fluid mechanics: A review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:45.094463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 67c6d189-c344-41a1-8d14-5f7a6ed97464 · outbound

This paper cites Deep learning of vortex-induced vibrations,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Deep learning of vortex-induced vibrations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:45.021434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4eba3435-3cae-429c-be2c-146388fc8e9d · outbound

This paper cites Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:41.817361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41df5ad4-c4bf-4449-9a45-2d9433987404 · outbound

This paper cites State–space modeling for control based on physics-informed neural networks,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning State–space modeling for control based on physics-informed neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:44.955747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0da14c61-a4c6-499b-b7c7-0a8204f2fd61 · outbound

This paper cites Pressing and rubbing: physics-informed features facilitate haptic terrain classi- fication for legged robots,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Pressing and rubbing: physics-informed features facilitate haptic terrain classi- fication for legged robots,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:44.921805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f7d70ecc-7ed9-4657-b9a0-fa63aae5167f · outbound

This paper cites Stochastic online op- timization for cyber-physical and robotic systems,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Stochastic online op- timization for cyber-physical and robotic systems,

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-05T20:08:43.184697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58cb0a11-a7f0-4181-8c79-e5acc17e67e8 · outbound

This paper cites A simple learning strategy for high-speed quadrocopter multi-flips,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning A simple learning strategy for high-speed quadrocopter multi-flips,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:44.770828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ebb76fd-ba74-4db1-be48-e86f50d7f09a · outbound

This paper cites Nonholonomic yaw control of an underactuated flying robot with model-based reinforcement learning,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Nonholonomic yaw control of an underactuated flying robot with model-based reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:44.607696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 098ec277-c321-40ba-9de1-163b02fca1fc · outbound

This paper cites A learning- based iterative control framework for controlling a robot arm with pneumatic artificial muscles,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning A learning- based iterative control framework for controlling a robot arm with pneumatic artificial muscles,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:44.415780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cabd70c3-4a63-4283-ab05-449d8a4fe8e0 · outbound

This paper cites Data-efficient online learning of ball placement in robot table tennis,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Data-efficient online learning of ball placement in robot table tennis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:44.257283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da3539fd-cb6e-4936-b9e9-2ee6d3e815fe · outbound

This paper cites A fast and reliable pick-and- place application with a spherical soft robotic arm,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning A fast and reliable pick-and- place application with a spherical soft robotic arm,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:44.028970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb2f74fe-8b5f-414f-966f-3eedc6c93a6a · outbound

This paper cites Learning-based parametrized model predictive control for trajectory tracking,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Learning-based parametrized model predictive control for trajectory tracking,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:43.799132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3990eff-820f-4c85-92d2-497e8c7adb5d · outbound

This paper cites Embodied intelligence for sustainable flight: A soaring robot with active morphological control,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Embodied intelligence for sustainable flight: A soaring robot with active morphological control,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:43.590552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 909d251c-04a4-45a6-9a9f-d9a4045ca008 · outbound

This paper cites Gaussian processes for regression,.

Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning Gaussian processes for regression,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:08:43.410793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.