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Paper Citation Record · LEDGER

Learning Agile Quadrotor Flight in the Real World

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2602.10111.

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

pith.paper-citation-record.v1
2602.10111 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:17:58.392414Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:33:20.981811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:52.680958Z

Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation 94026eb4-3ad2-41fb-a6ce-1f9e89615e17 · outbound

This paper cites Deep reinforcement learning for robotics: A survey of real-world successes,.

Learning Agile Quadrotor Flight in the Real World Deep reinforcement learning for robotics: A survey of real-world successes,

Reference 1

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Observation 4a7023a7-d1aa-4888-ae69-383b39ca5738 · outbound

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

Learning Agile Quadrotor Flight in the Real World Learning high-speed flight in the wild,

Reference 2

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source=pdf_text observed=2026-08-03T01:17:58.228172Z digest=sha256:1d7dff68b3f9c005482b8f7dfc2de3a13c9b7b902eac6fffeb19e294744d1dd4

Observation 4ca1093f-64f7-4203-8325-4fc41fcf58b2 · outbound

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

Learning Agile Quadrotor Flight in the Real World Champion-level drone racing using deep reinforcement learning,

Reference 3

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Observation fd2711e4-cf9a-4f93-9931-26af19bcec80 · outbound

This paper cites Learning quadrupedal locomotion over chal- lenging terrain,.

Learning Agile Quadrotor Flight in the Real World Learning quadrupedal locomotion over chal- lenging terrain,

Reference 4

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Observation 7c280bdf-e2ac-4c14-ac20-04d24fced4d6 · outbound

This paper cites Learning robust perceptive locomotion for quadrupedal robots in the wild,.

Learning Agile Quadrotor Flight in the Real World Learning robust perceptive locomotion for quadrupedal robots in the wild,

Reference 5

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Observation 2549a80b-a39d-4d97-890e-80dbcbf3161b · outbound

This paper cites Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.

Learning Agile Quadrotor Flight in the Real World Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion

Reference 6

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source=pdf_text observed=2026-08-03T01:17:58.247981Z digest=sha256:8cdeb096e9288737a9a7cd4e00194b6c970a3bc010a797c0e73b799626d322b4

Observation ee224291-60b0-4b45-9286-e8662ac136c7 · outbound

This paper cites Diffusion policy: Visuo- motor policy learning via action diffusion,.

Learning Agile Quadrotor Flight in the Real World Diffusion policy: Visuo- motor policy learning via action diffusion,

Reference 7

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source=pdf_text observed=2026-08-03T01:17:58.253781Z digest=sha256:040680b0060d6fd9a3ab0a6b731d17e2352675cb9d10bde3f6c098f1792c4581

Observation 6993ea96-9f3c-4319-bdd2-61622a8becbd · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

Learning Agile Quadrotor Flight in the Real World Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 8

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Observation 6f072a06-1516-48a8-82f1-aca7a85307bc · outbound

This paper cites Contrastive learning for enhancing robust scene transfer in vision-based agile flight,.

Learning Agile Quadrotor Flight in the Real World Contrastive learning for enhancing robust scene transfer in vision-based agile flight,

Reference 9

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source=pdf_text observed=2026-08-03T01:17:58.263803Z digest=sha256:17275913f0290196577c61f87605506ca29affbc3c574d6f8a4bc005a4b75930

Observation 503dbf9d-690f-4757-80dc-7cad78e2579e · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Learning Agile Quadrotor Flight in the Real World Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 10

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source=pdf_text observed=2026-08-03T01:17:58.268630Z digest=sha256:26d4a6fa8e10ba9ab1e94db7c49d9109e7da00679eabcbbc06894ef5891db3f0

Observation b08d93b0-5830-4cd9-bd78-3a558a57f354 · outbound

This paper cites Autonomous drone racing: A survey,.

Learning Agile Quadrotor Flight in the Real World Autonomous drone racing: A survey,

Reference 11

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Observation 1cf0eae1-996a-4ba0-9603-ae1492ed3966 · outbound

This paper cites Neural-fly enables rapid learning for agile flight in strong winds,.

Learning Agile Quadrotor Flight in the Real World Neural-fly enables rapid learning for agile flight in strong winds,

Reference 12

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source=pdf_text observed=2026-08-03T01:17:58.278220Z digest=sha256:a1b1bfb335c8e4aeb8ad5c47e929c51fa5ed7f281cc2d28a5d0f0e5d276efe61

Observation 7fcef382-1aaf-4d9b-be9c-5591cf9dc6b9 · outbound

This paper cites The reality gap in robotics: Challenges, solutions, and best practices,.

Learning Agile Quadrotor Flight in the Real World The reality gap in robotics: Challenges, solutions, and best practices,

Reference 13

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Observation 109be9a4-60bc-4df4-9f28-0c5699befe29 · outbound

This paper cites Neurobem: Hybrid aerodynamic quadrotor model,.

Learning Agile Quadrotor Flight in the Real World Neurobem: Hybrid aerodynamic quadrotor model,

Reference 14

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Observation 1bd18d03-ba45-4915-8e52-b5ddb7998de0 · outbound

This paper cites Sampling-based system identification with active explo- ration for legged sim2real learning,.

Learning Agile Quadrotor Flight in the Real World Sampling-based system identification with active explo- ration for legged sim2real learning,

Reference 15

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Observation 91ec3052-6e00-4b2f-b86c-ce874eaafa61 · outbound

This paper cites Learning on the fly: Rapid policy adaptation via differentiable simulation,.

Learning Agile Quadrotor Flight in the Real World Learning on the fly: Rapid policy adaptation via differentiable simulation,

Reference 16

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Observation 0adb9f29-53cd-4997-8cb6-ac60b6f5d8c3 · outbound

This paper cites Con- trol of a quadrotor with reinforcement learning,.

Learning Agile Quadrotor Flight in the Real World Con- trol of a quadrotor with reinforcement learning,

Reference 17

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Observation c88c1d66-545f-4b56-ab3c-e1cdea1523e3 · outbound

This paper cites Reaching the limit in autonomous racing: Op- timal control versus reinforcement learning,.

Learning Agile Quadrotor Flight in the Real World Reaching the limit in autonomous racing: Op- timal control versus reinforcement learning,

Reference 18

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Observation 29fb8950-254d-4051-ac76-d81db22047d6 · outbound

This paper cites Learning to fly in seconds,.

Learning Agile Quadrotor Flight in the Real World Learning to fly in seconds,

Reference 19

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Observation fedb3361-cf46-490d-aac1-d64a25df1df2 · outbound

This paper cites Bootstrapping reinforcement learning with imitation for vision-based agile flight,.

Learning Agile Quadrotor Flight in the Real World Bootstrapping reinforcement learning with imitation for vision-based agile flight,

Reference 20

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Observation a4aa6c12-b8ad-4826-8c06-438f06ce64e8 · outbound

This paper cites Learning to walk in minutes using massively parallel deep rein- forcement learning,.

Learning Agile Quadrotor Flight in the Real World Learning to walk in minutes using massively parallel deep rein- forcement learning,

Reference 21

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Observation 76eb6491-87ab-4338-a35a-a9cc6b650863 · outbound

This paper cites Learning quadro- tor control from visual features using differentiable simulation,.

Learning Agile Quadrotor Flight in the Real World Learning quadro- tor control from visual features using differentiable simulation,

Reference 22

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Observation bd220232-ff7f-4db9-a599-b92958820d20 · outbound

This paper cites Fast aquatic swimmer optimization with differentiable projective dynamics and neural network hydrodynamic models,.

Learning Agile Quadrotor Flight in the Real World Fast aquatic swimmer optimization with differentiable projective dynamics and neural network hydrodynamic models,

Reference 23

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Observation 92bd2125-d8f0-45fe-ae90-4e93795854c7 · outbound

This paper cites DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting.

Learning Agile Quadrotor Flight in the Real World DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

Reference 24

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Observation d3ae4809-931f-42df-9084-0842bbe4fac7 · outbound

This paper cites Efficient tactile simulation with differentiability for robotic manipulation,.

Learning Agile Quadrotor Flight in the Real World Efficient tactile simulation with differentiability for robotic manipulation,

Reference 25

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source=pdf_text observed=2026-08-03T01:17:58.338133Z digest=sha256:d0ccbb5e095582934e73a22da9bae8c659c8670820acd076aa0ca1333bc88edb

Observation 0371ecc1-a94e-4c60-a355-8d9f067f3fc0 · outbound

This paper cites Accelerated policy learning with parallel differentiable simulation,.

Learning Agile Quadrotor Flight in the Real World Accelerated policy learning with parallel differentiable simulation,

Reference 26

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source=pdf_text observed=2026-08-03T01:17:58.342253Z digest=sha256:b364c102a2a8498f7a482ed4e9c01c22613136d16e0273c2b48ed5f04e6489ee

Observation 74f7ab0d-f0ae-47fd-8512-0a05413903a1 · outbound

This paper cites Adaptive horizon actor-critic for policy learning in contact-rich differentiable simulation,.

Learning Agile Quadrotor Flight in the Real World Adaptive horizon actor-critic for policy learning in contact-rich differentiable simulation,

Reference 27

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Observation 2101d67e-8005-4219-a313-a47d9055f3f9 · outbound

This paper cites Residual policy learning for perceptive quadruped control using differentiable simulation,.

Learning Agile Quadrotor Flight in the Real World Residual policy learning for perceptive quadruped control using differentiable simulation,

Reference 28

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Observation 7abc3d98-4634-4974-bfa2-271acccf56c0 · outbound

This paper cites Neural ordinary differential equations,.

Learning Agile Quadrotor Flight in the Real World Neural ordinary differential equations,

Reference 29

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source=pdf_text observed=2026-08-03T01:17:58.354605Z digest=sha256:ca0fb0b6cf0149e6d80a6390a361c6c84e9ee9d94e321b9191c80e009e3dc6b6

Observation cf7d1a93-4883-4e79-b087-631ec78505b9 · outbound

This paper cites Neural lander: Stable drone landing control using learned dynamics,.

Learning Agile Quadrotor Flight in the Real World Neural lander: Stable drone landing control using learned dynamics,

Reference 30

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Observation ca560034-0d7e-4de5-a136-4d65a34e69f5 · outbound

This paper cites When to trust your model: Model-based policy optimization,.

Learning Agile Quadrotor Flight in the Real World When to trust your model: Model-based policy optimization,

Reference 31

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source=pdf_text observed=2026-08-03T01:17:58.362452Z digest=sha256:280f57df5c1632768c2e126ffb3b9d4d035a55e54774967cf03b4163423e23d9

Observation 13bc6d0f-6578-4b49-a2c6-acb382ec30a9 · outbound

This paper cites JAX: com- posable transformations of Python+NumPy programs,.

Learning Agile Quadrotor Flight in the Real World JAX: com- posable transformations of Python+NumPy programs,

Reference 32

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source=pdf_text observed=2026-08-03T01:17:58.366321Z digest=sha256:e97d84b9caee58b19948a1a4016a2ae3180bf91c78b5b7e12009b57d6a533eda

Observation 8ab581f6-01e5-4c8d-9cab-c72161ec3273 · outbound

This paper cites Efficient Model-Based Reinforcement Learning for Robot Control via Online Optimization.

Learning Agile Quadrotor Flight in the Real World Efficient Model-Based Reinforcement Learning for Robot Control via Online Optimization

Reference 33

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Observation 006b15e2-d2c5-4d40-b0aa-622751b67fa7 · outbound

This paper cites Differen- tial flatness of quadrotor dynamics subject to rotor drag for accurate tracking of high-speed trajectories,.

Learning Agile Quadrotor Flight in the Real World Differen- tial flatness of quadrotor dynamics subject to rotor drag for accurate tracking of high-speed trajectories,

Reference 34

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Observation 1b0d344c-c4e2-4400-86f2-7713569a230f · outbound

This paper cites Woulda, coulda, shoulda: Counterfactually-guided policy search,.

Learning Agile Quadrotor Flight in the Real World Woulda, coulda, shoulda: Counterfactually-guided policy search,

Reference 35

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source=pdf_text observed=2026-08-03T01:17:58.378462Z digest=sha256:e4fd1342384b6df6d1fd1b77f022ee4bd5e3ca1897eb61c137b7c5e2f51821ba

Observation 2a554cc8-d3bd-4bcf-b733-74c611be467c · outbound

This paper cites Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight,.

Learning Agile Quadrotor Flight in the Real World Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight,

Reference 36

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Observation 2126b8bc-20d1-4883-8bec-0727a3a9652f · outbound

This paper cites Safety-assured high-speed nav- igation for mavs,.

Learning Agile Quadrotor Flight in the Real World Safety-assured high-speed nav- igation for mavs,

Reference 37

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Observation 39940ce2-1618-4bf0-9a9a-4608785e9536 · outbound

This paper cites Model predictive contouring control for time-optimal quadrotor flight,.

Learning Agile Quadrotor Flight in the Real World Model predictive contouring control for time-optimal quadrotor flight,

Reference 38

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Pith citing papers

Observation 48eca095-8d9a-46e6-a0a0-c7acdc4b8b47 · inbound

Bridging Performance and Generalization in Reinforcement Learning for Agile Flight cites this paper.

Bridging Performance and Generalization in Reinforcement Learning for Agile Flight Learning Agile Quadrotor Flight in the Real World

Reference 35

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arxiv_id, observed 2026-07-13T02:18:54.545904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T04:33:20.981811Z digest=sha256:a08dec315bc8f2beaa9614d0672a3549024d4f107c9e8157731f42ac3dded34b