Paper Citation Record · LEDGER

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study

As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2412.11764.

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

pith.paper-citation-record.v1
2412.11764 v4

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:42:03.651504Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:05:57.699445Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:59:03.144092Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy25
unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c390c7a0-0949-4d7f-a111-a5aa6dff5513 · outbound

This paper cites Low-cost autonomous uav- based solutions to package delivery logistics,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Low-cost autonomous uav- based solutions to package delivery logistics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.202424Z

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.

Observation 60ec2720-1cf2-4b07-81bf-cc69306f9a9c · outbound

This paper cites An autonomous multi-uav system for search and rescue,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study An autonomous multi-uav system for search and rescue,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.187494Z

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.

Observation b05ca860-d394-42d4-a447-3c1c9fe0ced2 · outbound

This paper cites A uav system for inspection of industrial facilities,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study A uav system for inspection of industrial facilities,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.172636Z

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.

Observation e08533f3-5301-40c9-8140-5d382dd685c2 · outbound

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

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Minimum snap trajectory generation and control for quadrotors,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.488110Z

Source-reported events for the cited work

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Observation 6a87de5e-465a-488e-a2b7-c7a25bda40ae · outbound

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

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Differential flatness of quadrotor dynamics subject to rotor drag for accurate tracking of high- speed trajectories,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.148802Z

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.

Observation ece815d0-942b-482a-9afc-344a69e5ffba · outbound

This paper cites Performance, precision, and payloads: Adaptive nonlinear mpc for quadrotors,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Performance, precision, and payloads: Adaptive nonlinear mpc for quadrotors,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.133717Z

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.

Observation 10a7bf07-4cfb-4fb6-a478-cde087a3fa66 · outbound

This paper cites Information theoretic mpc for model-based reinforcement learning,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Information theoretic mpc for model-based reinforcement learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.503046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ac79a30-901e-4868-bf3f-de78f991bf3e · outbound

This paper cites Control of a quadrotor with reinforcement learning,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Control of a quadrotor with reinforcement learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.507765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc33ec1-9d92-4553-be31-df448471f283 · outbound

This paper cites Optimal and autonomous control using reinforcement learning: A survey,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Optimal and autonomous control using reinforcement learning: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.099227Z

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.

Observation 15e7b5e3-39da-4303-a887-33a82ef59fa3 · outbound

This paper cites Visual attention prediction improves performance of autonomous drone racing agents,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Visual attention prediction improves performance of autonomous drone racing agents,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.083752Z

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.

Observation 3eb9cb46-42fd-45f2-b289-173e7bd4d18e · outbound

This paper cites Datt: Deep adaptive trajectory tracking for quadrotor control,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Datt: Deep adaptive trajectory tracking for quadrotor control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.068610Z

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.

Observation c9b4c925-f6a0-49fc-b865-75c9401a156d · outbound

This paper cites Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.526021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aecb722e-d17c-4706-a89b-89383741f2e1 · outbound

This paper cites Autonomous drone racing with deep reinforcement learning,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Autonomous drone racing with deep reinforcement learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.530903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acaf116a-05ed-4af2-982c-f4bbd16d4af2 · outbound

This paper cites Learning to fly in seconds,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Learning to fly in seconds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.042350Z

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.

Observation 79effa38-d128-4ee1-87f7-0431e95e16a3 · outbound

This paper cites A benchmark comparison of learned control policies for agile quadrotor flight,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study A benchmark comparison of learned control policies for agile quadrotor flight,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.027291Z

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.

Observation ec202656-35d3-4628-86c8-d1b20a466b48 · outbound

This paper cites The power of input: Benchmarking zero-shot sim-to-real transfer of reinforcement learning control policies for quadrotor control,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study The power of input: Benchmarking zero-shot sim-to-real transfer of reinforcement learning control policies for quadrotor control,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:04.012188Z

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.

Observation 9aa5b08a-843c-467d-a302-5a7aa3657a88 · outbound

This paper cites Omnidrones: An efficient and flexible platform for reinforcement learning in drone control,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Omnidrones: An efficient and flexible platform for reinforcement learning in drone control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.996713Z

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.

Observation 9f1909ab-ed5e-4f1e-8a7d-ce27ff9bdb9f · outbound

This paper cites System identification and control using genetic algorithms,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study System identification and control using genetic algorithms,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.981911Z

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.

Observation 1848657e-60ec-42d3-b516-d8c1d47c9d23 · outbound

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

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.558286Z

Source-reported events for the cited work

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Observation 1060c1ee-972f-4285-ab34-77cdbbe1a7ae · outbound

This paper cites Training deep networks with synthetic data: Bridging the reality gap by domain randomization,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Training deep networks with synthetic data: Bridging the reality gap by domain randomization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.957559Z

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.

Observation b73d1a8b-c1fa-4da2-9fd9-42c1ab2435ed · outbound

This paper cites Learning dexterous in-hand manipulation,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Learning dexterous in-hand manipulation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.566849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bbf04f5-ad42-4f1b-8064-7e3065f5f936 · outbound

This paper cites Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.932955Z

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.

Observation 25c06e94-b9d9-4158-a327-bffd639ef287 · outbound

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

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Deep drone racing: From simulation to reality with domain randomization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.917814Z

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.

Observation 3a21830f-af0d-4d30-8b5b-ff4db1433c37 · outbound

This paper cites Domain-adversarial training of neural networks,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Domain-adversarial training of neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.903099Z

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.

Observation 3173d75a-9ad1-463b-b612-a5e8542d05c3 · outbound

This paper cites Unsupervised pixel-level domain adaptation with generative adversarial networks,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Unsupervised pixel-level domain adaptation with generative adversarial networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.887992Z

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.

Observation ecca7f21-0af3-4e88-bd86-96924b376dba · outbound

This paper cites Unsupervised adversarial domain adaptation for sim-to-real transfer of tactile images,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Unsupervised adversarial domain adaptation for sim-to-real transfer of tactile images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.872030Z

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.

Observation 288c7a0c-ea3c-4881-abae-2814a98bd4ea · outbound

This paper cites Learning transferable features with deep adaptation networks,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Learning transferable features with deep adaptation networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.857348Z

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.

Observation 62148c0d-a7c1-4ca8-8939-65c1520940d6 · outbound

This paper cites Sim-to-real visual grasping via state representation learning based on combining pixel-level and feature-level domain adaptation,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Sim-to-real visual grasping via state representation learning based on combining pixel-level and feature-level domain adaptation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.842174Z

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.

Observation f89a32b5-cce7-4c9f-8e1c-948c5416ed37 · outbound

This paper cites Using simulation optimization to improve zero-shot policy transfer of quadrotors,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Using simulation optimization to improve zero-shot policy transfer of quadrotors,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.826433Z

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.

Observation af5d1746-f4f3-45f2-95b0-ae101c025c9b · outbound

This paper cites NeuroBEM: Hybrid Aerodynamic Quadrotor Model.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study NeuroBEM: Hybrid Aerodynamic Quadrotor Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.608929Z

Source-reported events for the cited work

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Observation 2129ac11-c38e-4fb5-a92f-c20300780e32 · outbound

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

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Champion-level drone racing using deep reinforcement learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.811007Z

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.

Observation effafa92-231b-438c-92f3-925cbe82d5f0 · outbound

This paper cites Learning a single near-hover position controller for vastly different quadcopters,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Learning a single near-hover position controller for vastly different quadcopters,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.618755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49950363-35da-40e4-85fa-59205beab294 · outbound

This paper cites Learning to fly in seconds,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Learning to fly in seconds,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.623302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e7d36a-1cb7-41f5-ac78-ffa78cd6330b · outbound

This paper cites Rotors—a modular gazebo mav simulator framework,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Rotors—a modular gazebo mav simulator framework,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.627944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa48806a-ce1d-4745-9f21-204b56fb4910 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.632464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e175eaea-1f71-47af-8834-43430f512709 · outbound

This paper cites Proximal Policy Optimization Algorithms.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Proximal Policy Optimization Algorithms

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.636940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47786c2b-6b56-4879-b7b5-03d4a0b95a4a · outbound

This paper cites On the continuity of rotation representations in neural networks,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study On the continuity of rotation representations in neural networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.759214Z

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.

Observation f68bbd4d-1390-4c2e-a17c-776a0381e8b5 · outbound

This paper cites Pampc: Perception- aware model predictive control for quadrotors,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Pampc: Perception- aware model predictive control for quadrotors,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T14:42:03.646786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a8307a-e103-400a-81d2-7fcd421271b1 · outbound

This paper cites Information theoretic mpc for model-based reinforcement learning,.

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Information theoretic mpc for model-based reinforcement learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:42:03.734834Z

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.

Pith citing papers

Observation 5ff41b56-a546-4f99-81a8-93ce989a6ce7 · inbound

Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking cites this paper.

Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:05:57.699445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e63755-1b27-4931-9617-f3538031568e · inbound

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

DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:59:03.152538Z

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.