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Paper Citation Record · LEDGER

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning

As of 5 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2601.02738.

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

pith.paper-citation-record.v1
2601.02738 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T17:45:22.498308Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:42:34.323678Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact3
  • verified fuzzy38
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c966fcbf-abdf-4cd2-a0a8-183dc48cb2f0 · outbound

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

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Reach- ing the limit in autonomous racing: Optimal control versus reinforcement learning

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:09f2030eee84d2975317177a3d7ccda22cc9ee28c3e81509032d43ad5dfd44ad

Observation fb32df7b-72cf-4250-aad8-793a90dc1bba · outbound

This paper cites A comparative study of nonlinear mpc and differential-flatness-based control for quadrotor agile flight.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning A comparative study of nonlinear mpc and differential-flatness-based control for quadrotor agile flight

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.204812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:9bef011ea13a450de32113eaffcb4beadfcd97ed2e0016e61d7d4dcc35444c8f

Observation 189cf9c4-0320-46d3-b56a-60470c6d6b3a · outbound

This paper cites EVOLVER: Online learning and prediction of disturbances for robot control.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning EVOLVER: Online learning and prediction of disturbances for robot control

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.200307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:a89839d03d45fb3dc8eff30beb8aec003d097ae2802d160e9c8165ac3f00012a

Observation b47d5e56-ccb9-4c88-9965-37e24c1fab6f · outbound

This paper cites Safe learning- based control for multiple uavs under uncertain disturbances.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Safe learning- based control for multiple uavs under uncertain disturbances

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.209680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:e6ba6a11a10c19ce0bacdd9a151e752a59cb99f2ab6777843c3e4367de9a0f0d

Observation 11a8286f-90cf-4e37-85d2-048d683e2bd2 · outbound

This paper cites Data-driven MPC for quadrotors.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Data-driven MPC for quadrotors

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.207512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:b5a43b1827bbc77943ca06ba5a9fda59d7680b1f7f69a35dce13eaa82d6c14b7

Observation 2786bc43-2534-43a8-8c0f-97f0930170c9 · outbound

This paper cites Real-time neural MPC: Deep learning model predictive control for quadrotors and agile robotic platforms.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Real-time neural MPC: Deep learning model predictive control for quadrotors and agile robotic platforms

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.213863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:6f0f1fddf340a78c2a51bf0930af02a19e6b5eb94b3b5bf792d5e9b9c2b94141

Observation d8d1899a-27e9-4606-ada9-04183e33e8e6 · outbound

This paper cites Control- oriented meta-learning.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Control- oriented meta-learning

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.211669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:858d442f11af683dd08016f9fd1e3eaed7c0e25fcf42d32f53096716a77eee9e

Observation 0df14a35-5fb4-4d2a-a7fd-2c8e28c93bfa · outbound

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

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Model predictive contouring control for time-optimal quadrotor flight

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.191559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:e44f217a5320ead80ed6feabd25556929600ab7a1f7f91f826ede07cc6401d94

Observation f3a63a8a-798b-46ee-87ed-5a9157e1d717 · outbound

This paper cites Autotune: Controller tuning for high-speed flight.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Autotune: Controller tuning for high-speed flight

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.134830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:f0a25fe78aab9b41044070fbd830bc69130bbc2c4cf34252f6cb8222dbbd4f3c

Observation b395195f-5be9-4f49-8c6d-fe2fcaefe62d · outbound

This paper cites DiffTune- MPC: Closed-loop learning for model predictive control.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning DiffTune- MPC: Closed-loop learning for model predictive control

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.189075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:541e55d6a6fa75a2f303a49da1d119007f6ebec119d4f74e006e2b02222d73d1

Observation 5f471993-01e0-4e60-ba48-2dc2a38e7721 · outbound

This paper cites NeuroBEM: Hybrid aerodynamic quadrotor model.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning NeuroBEM: Hybrid aerodynamic quadrotor model

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.125401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:1b56912727a9c4ddf5a4d4f6ac3c3065291f41370b91a2729c75a44822a22aec

Observation 4ef38fd0-63e3-4f5e-a4ec-1a9f2f3f0b20 · outbound

This paper cites Modern Koopman Theory for Dynamical Systems.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Modern Koopman Theory for Dynamical Systems

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:48:11.594399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:e60bf276ebe6cf7c5f091d324b197c3c8d0f212c308c52e79e4ceb1c6d1f2e48

Observation 452c0edf-cffb-48eb-85cf-a404b066f36d · outbound

This paper cites Data-efficient model learning for control with jacobian-regularized dynamic-mode decomposition.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Data-efficient model learning for control with jacobian-regularized dynamic-mode decomposition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.193724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:9b6af5579bd92e1227093b1d8c0cbdc1b1ef0d9366bd03334b0b43087057f041

Observation e23c47aa-1c68-4bb6-a472-bfa6c2618f12 · outbound

This paper cites Learning control affine neural NARX models for internal model control design.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Learning control affine neural NARX models for internal model control design

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.196098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:75e0763983e9245c2527118baae8514a0390e37fe567b161558005f0f16a19ea

Observation 8f028232-eb33-42cd-803b-30d7c87a335b · outbound

This paper cites Tractable data-driven model predictive control using one-step neural networks predictors.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Tractable data-driven model predictive control using one-step neural networks predictors

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.182212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:03925128ac1d6943368c71b7e9f3cfd24c1614f4f791409dd3f516441e1778a3

Observation 40bdea78-a35e-4328-820a-1348b7732346 · outbound

This paper cites Physics-inspired temporal learning of quadrotor dynamics for accurate model predictive trajectory tracking.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Physics-inspired temporal learning of quadrotor dynamics for accurate model predictive trajectory tracking

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.184535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:5867311a092ef8c3b20b666cdaea99ae98b8e164170e04b5f87521c33c26009d

Observation 5740e968-46e9-4246-93a8-67d94cfcaa54 · outbound

This paper cites Neural network model predictive motion control applied to automated driving with unknown friction.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Neural network model predictive motion control applied to automated driving with unknown friction

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.132759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:ae5c118e21e3b8c93e92c03b58b5f7dec6d749a4f6992ba811c19d9ac72e48a1

Observation 9734c5a4-051a-47ec-bae7-5e9a26a7c3cf · outbound

This paper cites Millimeter-level pick and peg-in-hole task achieved by aerial manipu- lator.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Millimeter-level pick and peg-in-hole task achieved by aerial manipu- lator

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.130394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:576bbeedaef1cd86718cc83ab3f27314ac975e9656e837da69b3488d405b118d

Observation 5565eaa9-1a4c-467f-b994-db083c6febbb · outbound

This paper cites Safe stabilization with model uncertainties: A universal formula with gaussian process learning.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Safe stabilization with model uncertainties: A universal formula with gaussian process learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.180004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:a59e9130bd887e3ec22a41ceee8613eb3a1313da2ce6a23bb11a3b6869cb7c61

Observation c56bec19-95f4-4f88-9765-d7b0c7a3e9bd · outbound

This paper cites Learning quadrotor dynamics using neural network for flight control.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Learning quadrotor dynamics using neural network for flight control

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.186808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:fe66feff7ab60f4646f4c55f9e86e1e3b461cf88d1f24a8a4d648539c45d4d5b

Observation cc512404-2341-4e00-b58b-cc3541f8a793 · outbound

This paper cites Learning long-horizon predictions for quadrotor dynamics.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Learning long-horizon predictions for quadrotor dynamics

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.173967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:97204cae7041ab414f8722129c7ba3d51dcaa130ee786e436310e6af7e7a125a

Observation 6008813a-5af3-4005-b14c-b0be4c30b660 · outbound

This paper cites Neural ordinary differential equations.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Neural ordinary differential equations

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.175847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:cc070d9d64a955ae765fd7e96353da6bc427aec6d7e88a4269076682186f51e4

Observation 704a8902-796d-422c-be15-df9883b09d85 · outbound

This paper cites KNODE-MPC: A knowledge-based data-driven predictive control framework for aerial robots.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning KNODE-MPC: A knowledge-based data-driven predictive control framework for aerial robots

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.178035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:30db956266bc2aa33a7748124f95b9fa1b6c5f267b37c23e49c7aafec3a8e7fb

Observation cf6cf02b-e50b-4d3f-b945-f1b0695d710a · outbound

This paper cites Data-driven learning for robot control with unknown jacobian.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Data-driven learning for robot control with unknown jacobian

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.198172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:117f7065ecf05142f24004590817de3095aae16cf42ba8d5a84affcad82fbc48

Observation f4c9f9fc-dcf6-44d0-94cc-5b71796b41ca · outbound

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

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Neural-fly enables rapid learning for agile flight in strong winds

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.128123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:5d3f5165ef28f599677d959dde2b91e69ecd101ab0dc91b89bf825d81a5a3b32

Observation eb0f4bf9-e2bb-4b31-bcca-39c1e95f2745 · outbound

This paper cites Precise end- effector control for an aerial manipulator under composite disturbances: Theory and experiments.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Precise end- effector control for an aerial manipulator under composite disturbances: Theory and experiments

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.167277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:d6501651e42414e4575b6b3eb4f66e1b13e9e8eb11172c9ff28c9f58b5ce56c4

Observation ce123bd7-e4fe-4887-985d-07ddf9254449 · outbound

This paper cites Time-optimal online replanning for agile quadrotor flight.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Time-optimal online replanning for agile quadrotor flight

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.169637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:d00ad956cea1dc1b8bd86be9602d516a15ed769a3a632d7548f4b8edfed0dd72

Observation 6b864437-7107-4db5-a06d-fb23516c9dee · outbound

This paper cites Time-optimal planning for quadrotor waypoint flight.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Time-optimal planning for quadrotor waypoint flight

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.171815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:0fdac7b4bdea8ad892691f62a919ba86cd725f1278cba10bbcb7554f6f1dc2a6

Observation d905bed8-d106-4478-a189-8f7df9e92dcc · outbound

This paper cites Efficient and robust time-optimal trajectory planning and control for agile quadrotor flight.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Efficient and robust time-optimal trajectory planning and control for agile quadrotor flight

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.165079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:048cc40640ce2af659fe3924b678f7dd269eaa9c64ad12efe2af55a89402c1cf

Observation 92e7ff7b-489a-49b8-b10e-bb6fd000ca31 · outbound

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

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Minimum snap trajectory generation and control for quadrotors

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.162295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:4af60d77e51a96c295f5ce38b4cf043c063b9c11fa12705c013c80c4d564d8e5

Observation ba29ca5f-a0c9-4836-8d16-083c564f7035 · outbound

This paper cites Optimal time allocation for quadrotor trajectory generation.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Optimal time allocation for quadrotor trajectory generation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.155942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:a53e3f247685f4f7f563bce9837a51b2762b2f333e31bbbb850e5e3757ac322a

Observation f496de67-678c-4142-b5b0-179c4579ee1c · outbound

This paper cites Fast UAV Trajectory Optimization using Bilevel Optimization with Analytical Gradients.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Fast UAV Trajectory Optimization using Bilevel Optimization with Analytical Gradients

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:48:11.590428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:ac73e9ad84c7144fa4427d635fb8f63e7a9211e72bed6d4231d638662d093156

Observation 566efcbc-aa2c-4413-a425-eebef7b9b3b2 · outbound

This paper cites TRACE: Trajectory refinement with control error enables safe and accurate maneuvers.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning TRACE: Trajectory refinement with control error enables safe and accurate maneuvers

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.148736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:d5c6497c32f34d33ba30bf574eaca2058f9765bd0896693a01101a64537db178

Observation ab023782-6a9c-4229-b395-5c732c498a53 · outbound

This paper cites Accurate high-maneuvering trajectory tracking for quadrotors: A drag utilization method.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Accurate high-maneuvering trajectory tracking for quadrotors: A drag utilization method

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.146652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:fca068b0b9c734513ff7c0c10e42eeb13409a271b695b2a35ea8cb49f15fb4ae

Observation 74972aec-d7a0-4ca1-9935-560f97ae0eb1 · outbound

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

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Differential flatness of quadrotor dynamics subject to rotor drag for accurate tracking of high- speed trajectories

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.151031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:47dce61ac9e076296638b70b55fbdcb767a65c3d1b4bf22bc40569c43bfcc3a2

Observation f9b11a4f-7e3f-40ce-8716-2ac552179edc · outbound

This paper cites Differential flatness transformations for aggressive quadrotor flight.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Differential flatness transformations for aggressive quadrotor flight

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.153350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:72d8c476c064a64532ceb34e9940f23aa07f195669cf2acc3eafd33f1d845f73

Observation 2c73f6ad-e310-4ad6-9b12-e8fcffd046ed · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Adam: A Method for Stochastic Optimization

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-16T17:48:11.586444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:c1bb874816b92d390fcb0dfc17bc9010fa8da90be8e0111c6f503b8c8b1a648d

Observation a682993f-2da6-4b18-9522-bb3f39a62362 · outbound

This paper cites CasADi - A software framework for nonlinear optimization and optimal control.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning CasADi - A software framework for nonlinear optimization and optimal control

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.137168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:d5c817b4a752598cdfd988edaf1fb0340ef1d625372f07fb8eee407e17406b85

Observation aef69c87-461d-4439-8358-e22a4af6cdb1 · outbound

This paper cites Anti-disturbance control theory for systems with multiple disturbances: A survey.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Anti-disturbance control theory for systems with multiple disturbances: A survey

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.139776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:0f8607d4b52103e785a0c366f23159f2b0970f092d15502e72731022c6faaebc

Observation 4deb684b-5fbc-492a-9f5b-6f29a2be27ff · outbound

This paper cites Hovakimyan and C.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Hovakimyan and C

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.144386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:fcfed50d59905f7c211930c367e4fe7f2e89247ddd2981f0226d71db64a43692

Observation 29823aa9-682e-4f8f-9366-c84119be8925 · outbound

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

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning DATT: Deep adaptive trajectory tracking for quadrotor control

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T17:48:12.142162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:45:22.498308Z digest=sha256:0b6acb933ed1e7270ff54a71e8bb1162bfceaeb6672de711848568d2fa0a98cf

Pith citing papers

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

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

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

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T01:42:34.323678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:42:34.323678Z digest=sha256:0b0e2a5f38a6591e3a5988ee995d9a5fff34d4795662fb1a20512e19420009e3