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Paper Citation Record · LEDGER

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.00635.

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

pith.paper-citation-record.v1
2608.00635 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:42:34.984341Z

measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

32 of 32 outbound references displayed

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Outbound references

Observation 5643a8c8-f39e-481e-b8a8-05b00fe732f6 · outbound

This paper cites EGO-Planner: An ESDF-free gradient-based local planner for quadrotors,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation EGO-Planner: An ESDF-free gradient-based local planner for quadrotors,

Reference 1

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source=pdf_text observed=2026-08-04T01:42:31.813823Z digest=sha256:9d7d670c246bf1843aaa8a520a48ef3344a5f5cc213ad6a6759efbde4a94b422

Observation 197246c6-65ee-4f98-8bfb-0d926ce93955 · outbound

This paper cites Learning high-speed flight in the wild,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Learning high-speed flight in the wild,

Reference 2

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Observation 08d83cf9-001c-4c5a-9b26-ae9ca56482f1 · outbound

This paper cites Geometrically constrained trajectory optimization for multicopters,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Geometrically constrained trajectory optimization for multicopters,

Reference 3

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Observation 3dbbfc13-f63e-4cb8-91db-39511c12e634 · outbound

This paper cites Safety-assured high-speed navigation for MA Vs,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Safety-assured high-speed navigation for MA Vs,

Reference 4

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Observation bd6f0d0e-6784-43fc-aca1-6319a72e6eb4 · outbound

This paper cites You only plan once: A learning-based one-stage planner with guidance learning,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation You only plan once: A learning-based one-stage planner with guidance learning,

Reference 5

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Observation 2bdf0f57-1359-4563-a409-6c70bdf9cba6 · outbound

This paper cites iPlanner: Imperative path planning,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation iPlanner: Imperative path planning,

Reference 6

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Observation e7509668-225e-449a-bfc2-6c861f4d3ff7 · outbound

This paper cites NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration

Reference 7

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Observation 6bf3ba9d-d8c6-49e3-b7e1-3293d071bfcf · outbound

This paper cites World Action Models are Zero-shot Policies.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation World Action Models are Zero-shot Policies

Reference 8

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Observation de83032d-ba85-484e-aff3-f8e445ee3f86 · outbound

This paper cites Motus: A Unified Latent Action World Model.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Motus: A Unified Latent Action World Model

Reference 9

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Observation 1ac4f8db-2a2c-4275-a2a7-18ff76eb1a8c · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 10

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Observation 0051c4aa-4f0d-4223-917a-c1c1609146af · outbound

This paper cites GigaWorld-Policy: An efficient action- centered world-action model,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation GigaWorld-Policy: An efficient action- centered world-action model,

Reference 11

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Observation bbd76da6-8a5a-47bf-b359-14d87a35b05c · outbound

This paper cites Perception-aware time-optimal planning for quadro- tor waypoint flight,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Perception-aware time-optimal planning for quadro- tor waypoint flight,

Reference 12

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Observation 43161781-6899-44dd-8666-0d6b47b6e12a · outbound

This paper cites Vision transformers for end-to-end vision- based quadrotor obstacle avoidance,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Vision transformers for end-to-end vision- based quadrotor obstacle avoidance,

Reference 13

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Observation 539b204a-dada-4989-a442-cbc554a4772e · outbound

This paper cites Champion-level drone racing using deep reinforce- ment learning,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Champion-level drone racing using deep reinforce- ment learning,

Reference 14

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Observation bcd2994a-93c7-453b-95f1-fd2f01f43ac0 · outbound

This paper cites MAD: Mapping-Aware World Models for Agile Quadrotor Flight.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation MAD: Mapping-Aware World Models for Agile Quadrotor Flight

Reference 15

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source=pdf_text observed=2026-08-04T01:42:33.490951Z digest=sha256:d5413bdbfa51368a51240e92bbb9a5cff7d42e880d08b61f0c81846e60cfcdeb

Observation d9204920-c701-4157-9f00-a755185da5f1 · outbound

This paper cites Feedback Favors the Generalization of Neural ODEs.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Feedback Favors the Generalization of Neural ODEs

Reference 16

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Observation 9675310c-84f8-415b-a6ce-2c1ae1fc3137 · outbound

This paper cites Unified Meta-Representation and Feedback Calibration for General Disturbance Estimation.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Unified Meta-Representation and Feedback Calibration for General Disturbance Estimation

Reference 17

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Observation 0e70d92b-7e04-4438-8c48-d3e4175fd872 · outbound

This paper cites Mastering diverse control tasks through world models,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Mastering diverse control tasks through world models,

Reference 18

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Observation edd13203-e17d-455e-adeb-3d905121c324 · outbound

This paper cites Navigation world models,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Navigation world models,

Reference 19

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Observation ae76dae6-82d7-4ca5-ae1d-63d863527527 · outbound

This paper cites Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight

Reference 20

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Observation 64b42278-feb1-49bb-a5a7-7ec1ab9f9f44 · outbound

This paper cites One transformer fits all distributions in multi- modal diffusion at scale,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation One transformer fits all distributions in multi- modal diffusion at scale,

Reference 21

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Observation 65a1b7b1-ad6c-42fd-9ad6-a11863e7f260 · outbound

This paper cites Aerial world model for long-horizon visual generation and navigation in 3D space,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Aerial world model for long-horizon visual generation and navigation in 3D space,

Reference 22

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Observation 97092a1c-22f5-406d-9a84-77a017146bce · outbound

This paper cites Minimum snap trajectory generation and control for quadrotors,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Minimum snap trajectory generation and control for quadrotors,

Reference 23

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Observation cb798747-bb1b-41ac-8405-5796e0bacfee · outbound

This paper cites Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning

Reference 24

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Observation 322bb155-c32e-44bf-a6c0-d9503cfe4a24 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 25

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Observation 22ce3c9f-d147-45be-9a9c-389b6a03e3d8 · outbound

This paper cites Flow matching for generative modeling,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Flow matching for generative modeling,

Reference 26

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Observation 25dd705f-0ff3-44b2-8a3c-b3288e83f7a1 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 27

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Observation bf17a634-adb8-4bfc-8f9c-fc4faa586cb4 · outbound

This paper cites RoFormer: Enhanced transformer with rotary position embedding,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation RoFormer: Enhanced transformer with rotary position embedding,

Reference 28

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Observation f336a49d-2def-47d6-a2ec-9cdee384c415 · outbound

This paper cites DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning

Reference 29

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source=pdf_text observed=2026-08-04T01:42:34.766645Z digest=sha256:eec64a83970aa9a81779a56ba957f4cd73a4880eb240b3430a61c316142d2399

Observation a3c02e19-b61f-42ba-8807-f0a49e52c0ae · outbound

This paper cites Classifier-free diffusion guidance,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation Classifier-free diffusion guidance,

Reference 30

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Observation 1851d4bd-d0cc-45e7-a709-eebdf550da99 · outbound

This paper cites A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

Reference 31

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Observation 03c677ed-0e40-498d-86b3-36c53ab7af08 · outbound

This paper cites On-manifold model predictive control for trajectory tracking on robotic systems,.

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation On-manifold model predictive control for trajectory tracking on robotic systems,

Reference 32

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Pith citing papers

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