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Paper Citation Record · LEDGER

MAD: Mapping-Aware World Models for Agile Quadrotor Flight

As of 6 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2606.04534.

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

pith.paper-citation-record.v1
2606.04534 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:24:14.487289Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:42:33.490951Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation adcdd83d-886f-4835-bb83-271c6c48f8e5 · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Minimum snap trajectory generation and control for quadrotors,

Reference 1

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Observation 52a68556-16e4-4daa-aae0-742a2f0305bb · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Safety-assured high-speed navigation for MA Vs,

Reference 2

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Observation 8d999d91-a15e-4a8f-a23b-4193b53ad0f2 · outbound

This paper cites NavRL: Learning safe flight in dynamic environments,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight NavRL: Learning safe flight in dynamic environments,

Reference 3

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Observation 6a9da19e-4d5e-45f9-a7c1-de07aca91556 · outbound

This paper cites Learning vision-based agile flight via differentiable physics,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Learning vision-based agile flight via differentiable physics,

Reference 4

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Observation fc674367-9ba2-479d-8296-d0167c1d2a2b · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight You only plan once: A learning-based one-stage planner with guidance learning,

Reference 5

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Observation b1a72e9b-e7b8-4d89-8e35-3d878ab9a8e4 · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Champion-level drone racing using deep reinforcement learn- ing,

Reference 6

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Observation c7b4bd3b-976f-4031-b797-b69a1db9ad3c · outbound

This paper cites Reach- ing the limit in autonomous racing: Optimal control versus reinforcement learning,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Reach- ing the limit in autonomous racing: Optimal control versus reinforcement learning,

Reference 7

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Observation 751d5aa8-81fc-48bc-942f-217cf553f098 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Dream to control: Learning behaviors by latent imagination,

Reference 8

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Observation b8658c8e-e7f1-46a9-838f-ae63800b44ef · outbound

This paper cites Mastering Atari with discrete world models,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Mastering Atari with discrete world models,

Reference 9

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Observation 575a9fe8-6094-4270-86fd-74ccc39acc8c · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Mastering diverse control tasks through world models,

Reference 10

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Observation 8ebbac4b-1f90-4e2d-9dc1-971a2a6e82e1 · outbound

This paper cites TD-MPC2: Scalable, robust world models for continuous control,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight TD-MPC2: Scalable, robust world models for continuous control,

Reference 11

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Observation 1527c4df-87ff-4d59-b86e-80f9ce508462 · outbound

This paper cites Day- Dreamer: World models for physical robot learning,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Day- Dreamer: World models for physical robot learning,

Reference 12

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Observation 1a6e0d62-3e06-41e8-a15c-b48e7e6ddc51 · outbound

This paper cites CORB-Planner: Corridor as observations for rl planning in high-speed flight,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight CORB-Planner: Corridor as observations for rl planning in high-speed flight,

Reference 13

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Observation 03f4dd4e-3164-44d8-8896-b7da94c5b408 · outbound

This paper cites Learning Speed Adaptation for Flight in Clutter.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Learning Speed Adaptation for Flight in Clutter

Reference 14

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Observation daf1f265-a7e3-4282-b4b4-8b7020f5f8d9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Proximal Policy Optimization Algorithms

Reference 16

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Observation 7d909d73-ee8d-428e-87ed-935fc03e014f · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Accelerated policy learning with parallel differentiable simulation,

Reference 17

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Observation 82471360-5f37-48fe-87f8-9f127847d59b · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Learning high-speed flight in the wild,

Reference 18

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Observation 09f487bf-dc0f-44f2-83d4-4dacfdacc3da · outbound

This paper cites Robust navigation for racing drones based on imitation learning and modularization,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Robust navigation for racing drones based on imitation learning and modularization,

Reference 19

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Observation ae5f4fef-4ba5-49e6-952f-3839194c533e · outbound

This paper cites Deep drone racing: From simulation to reality with domain randomization,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Deep drone racing: From simulation to reality with domain randomization,

Reference 20

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Observation 16bb69cb-001c-41d3-8cf6-19f833d49092 · outbound

This paper cites Learning vision- based flight in drone swarms by imitation,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Learning vision- based flight in drone swarms by imitation,

Reference 21

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Observation 0dcaf263-0137-4a8a-827b-8aeb3ce3f4ba · outbound

This paper cites A hierarchical reinforcement learning algorithm based on attention mechanism for UA V autonomous navigation,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight A hierarchical reinforcement learning algorithm based on attention mechanism for UA V autonomous navigation,

Reference 22

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Observation 19b3917a-7740-4f57-9bdf-c3de666f978a · outbound

This paper cites Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation

Reference 23

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Observation 794d954f-6b6f-4b66-b21d-45faf91505f4 · outbound

This paper cites Memory-based deep reinforcement learning for obstacle avoidance in UA V with limited environment knowledge,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Memory-based deep reinforcement learning for obstacle avoidance in UA V with limited environment knowledge,

Reference 24

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Observation 515b3949-e151-4ec6-af00-1b7510b2e82d · outbound

This paper cites Autonomous drone racing: A survey,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Autonomous drone racing: A survey,

Reference 25

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Observation 710fb074-ce30-4c20-bbfe-870b1e05ba25 · outbound

This paper cites Seeing through pixel motion: Learning obstacle avoidance from optical flow with one camera,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Seeing through pixel motion: Learning obstacle avoidance from optical flow with one camera,

Reference 26

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Observation f84e2d9d-bcc8-4b55-a321-84a0e76fdeaf · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight

Reference 27

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Observation b6e6fc87-0a54-400b-adff-20ae51c34322 · outbound

This paper cites Skydreamer: Interpretable end-to-end vision-based drone racing with model-based reinforcement learning,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Skydreamer: Interpretable end-to-end vision-based drone racing with model-based reinforcement learning,

Reference 28

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Observation 09cf209a-2714-40ac-8c1b-42841dad5cdc · outbound

This paper cites STORM: Efficient stochastic transformer based world models for reinforcement learning,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight STORM: Efficient stochastic transformer based world models for reinforcement learning,

Reference 29

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Observation 3276c270-afef-4f2a-81f6-927a0a7f3145 · outbound

This paper cites Mastering Atari, Go, Chess and Shogi by planning with a learned model,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Mastering Atari, Go, Chess and Shogi by planning with a learned model,

Reference 30

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Observation c891b8b8-9d17-420b-908c-e24e746abf6a · outbound

This paper cites Mastering Atari games with limited data,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Mastering Atari games with limited data,

Reference 31

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Observation 7a40c982-65cf-49fc-9f16-a3001409ef5e · outbound

This paper cites Temporal difference learning for model predictive control,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Temporal difference learning for model predictive control,

Reference 32

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Observation 55f0a57e-82da-402d-ba78-3e7340563802 · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Diffusion for world modeling: Visual details matter in atari,

Reference 33

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Observation 74cfabe3-3df1-460e-9b50-4993853a0685 · outbound

This paper cites V oxgraph: Globally consistent, volumetric mapping using signed distance function submaps,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight V oxgraph: Globally consistent, volumetric mapping using signed distance function submaps,

Reference 34

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Observation 596bc93e-721d-4bcb-8899-b9cf97e672c0 · outbound

This paper cites Occupancy grid mapping without ray-casting for high-resolution LiDAR sensors,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Occupancy grid mapping without ray-casting for high-resolution LiDAR sensors,

Reference 35

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Observation c5de8d09-c607-4d39-b826-51f9598765ad · outbound

This paper cites ROG-Map: An efficient robocentric occupancy grid map for large-scene and high-resolution LiDAR-based motion planning,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight ROG-Map: An efficient robocentric occupancy grid map for large-scene and high-resolution LiDAR-based motion planning,

Reference 36

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Observation 9747274c-fb0b-4296-a455-3ac3484d204e · outbound

This paper cites Slope inspection under dense vegetation using LiDAR-based quadrotors,.

MAD: Mapping-Aware World Models for Agile Quadrotor Flight Slope inspection under dense vegetation using LiDAR-based quadrotors,

Reference 37

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Observation 12c143da-7645-4943-a5b2-349472711852 · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning

Reference 38

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local_arxiv, observed 2026-07-02T08:06:47.897192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T06:24:14.487289Z digest=sha256:dad91be1a3d58f015879b5ac4222d31626a031179318a3968bcb7a348637296b

Observation b151f806-4f6e-439c-aa73-ee8f4c4dd82f · outbound

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

MAD: Mapping-Aware World Models for Agile Quadrotor Flight EGO-Planner: An ESDF- free gradient-based local planner for quadrotors,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T06:24:14.487289Z

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source=pdf_text observed=2026-06-28T06:24:14.487289Z digest=sha256:b492716fbed3388aedf5b0e73af8a204b58eef9f5fce7b8a091f89467c371fc2

Pith citing papers

Observation aa82ffc7-98cf-4d06-8e8a-681f9c0eaecf · inbound

AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight cites this paper.

AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight MAD: Mapping-Aware World Models for Agile Quadrotor Flight

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T00:33:32.457485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:33:32.457485Z digest=sha256:2b85d174f85e8f0b02ce9cfe740643935467c9e2adc2ed7c7e77d3fb69556a81

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

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation cites this paper.

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

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T01:42:33.490951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:42:33.490951Z digest=sha256:f96d5b4f601a62f790011f2ef2a28219d7348028d9d3ed02307efd64d797e896