Pith. sign in

Paper Citation Record · LEDGER

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors

As of 25 July 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1906.12082.

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

pith.paper-citation-record.v1
1906.12082 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T14:11:09.950279Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-25T06:30:59.84592+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66325ee5-ce12-475b-afc8-0258ef6acf37 · outbound

This paper cites A fully autonomous indoor quadrotor.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors A fully autonomous indoor quadrotor

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.069586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:0b178a34c6da20be20911bd1a377b65b4bed3da7e741bf8ed3deec46893ae258

Observation af263120-92b0-4a27-a141-8998da3cbe0e · outbound

This paper cites A model predictive controller for quadrocopter state interception.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors A model predictive controller for quadrocopter state interception

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.072887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:78d8b0db46cc82d17b2e82dfc1f7481122e4733e4a87fca9a7c3e64dcdbe8a2a

Observation 922558b0-0ee2-465b-a8c5-d162ae61f864 · outbound

This paper cites Continuous-time trajectory optimization for online uav replanning.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Continuous-time trajectory optimization for online uav replanning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.076385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:ff8e949537accc2494b63a91c59a2d7f40a5fc85e1971f098fbfbbae3e26f214

Observation 43ca2773-30dd-47e7-8155-22f166840dd2 · outbound

This paper cites Incremental micro-uav motion replanning for exploring unknown environments.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Incremental micro-uav motion replanning for exploring unknown environments

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.065264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:06f21a5c5d8cf1989bbe7b0ad48e5b5a89a2c4e70f47db7fddc5d8dfe3ccdb78

Observation 641e20e4-4ae3-4967-a0a5-e3c71a88eac4 · outbound

This paper cites Obstacle avoidance with sensor uncertainty for small unmanned aircraft.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Obstacle avoidance with sensor uncertainty for small unmanned aircraft

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.079772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:d7e6b367e203f968884fa612bc24ba5f6eede9e2c36c31bf7dd5c0cb1bce9630

Observation 33a49c57-9039-41ef-98c3-ed8866f33019 · outbound

This paper cites Trajectory tracking with collision avoidance for nonholonomic vehi- cles with acceleration constraints and limited sensing.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Trajectory tracking with collision avoidance for nonholonomic vehi- cles with acceleration constraints and limited sensing

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.090201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:8fa8005f8640ef6c2998c9ae23a6afb2497bb5d81aba9ca8298ffc5316297d34

Observation 9af1f169-2770-4432-a3a7-0223222ea6d4 · outbound

This paper cites Automated aerial suspended cargo delivery through reinforcement learning.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Automated aerial suspended cargo delivery through reinforcement learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.047199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:d3c5b7bdd2e9f7990637110829841470f1067e1a0872ba0abaa3a79b7cbe89fd

Observation 63f60b89-d803-4f7f-b737-daec4fc01964 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Playing Atari with Deep Reinforcement Learning

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T14:15:56.450438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:c57e8e413ecdecd65f84d0cc288fb06f8af2322931206220b80880c7aa2f13d6

Observation ec4bf01f-b8f8-4bcc-9b7e-e6640ef4226d · outbound

This paper cites A survey on policy search for robotics.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors A survey on policy search for robotics

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.050991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:df89c6a938e48a0543770a6c09a867623754a62274c415fb9b4c500501a89c84

Observation b18eb2d8-fdc8-47d5-b532-bf853a6056a6 · outbound

This paper cites An application of reinforcement learning to aerobatic helicopter flight.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors An application of reinforcement learning to aerobatic helicopter flight

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.040121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:03a4505546849c1f259564da210fcaf44ca2cbb315f25bd0a0c2729479f0d212

Observation 53b98287-91bc-4be6-9d41-d51c519f3404 · outbound

This paper cites End-to-end training of deep visuomotor policies.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors End-to-end training of deep visuomotor policies

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.043403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:445587e1b840c8b9a726e9d419885602fec6de4841e9de624be9fa267a8960ba

Observation 0dc902a6-8fa6-486b-8de6-450ff6ed3284 · outbound

This paper cites Plato: Policy learning using adaptive trajectory optimization.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Plato: Policy learning using adaptive trajectory optimization

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.054439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:2e31ba08978b51df27d6f02353c40696114ccb0835c416b38529a78e1e130454

Observation cda2e2f4-ccd6-4507-a4fc-a68fd6dc65f3 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors A reduction of imitation learning and structured prediction to no-regret online learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.086758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:d79a4c82275c544817de43eef61d8072d697c0726cf4e25a27bcc4de94ef0e7a

Observation 71f853b0-6a0d-4792-b14d-c4e3954f4ec7 · outbound

This paper cites Learning monocular reactive uav control in cluttered natural environments.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Learning monocular reactive uav control in cluttered natural environments

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.058149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:d3908e5b8a3ba1b8849598f7492df6f97ca79aafac8e8933a4c378005b9afd27

Observation ea5b14e2-bb15-4a0f-8058-cae1a0c46547 · outbound

This paper cites Interactive control of diverse complex characters with neural net- works.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Interactive control of diverse complex characters with neural net- works

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.029399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:9bbfec1eb7522e4ad790441ed6a2c9e4fe781f868cdd2eed269a381cd84a482f

Observation f3a75d5f-5c5d-455a-a490-e5eeb35cc437 · outbound

This paper cites Learning deep con- trol policies for autonomous aerial vehicles with mpc-guided policy search.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Learning deep con- trol policies for autonomous aerial vehicles with mpc-guided policy search

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.036682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:46722d5121d5cc281af56da76344d315068d5617dedfa9cf363821db0f8849de

Observation 72bedb59-88c2-462d-9dd3-a7cb3792b07f · outbound

This paper cites Model predictive contouring control.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Model predictive contouring control

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.025710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:7a77b0a9fb0addb98eef76e2ef9c87d571f396036d14807027f3791ef137cca6

Observation 278d5c20-1114-4ab7-ae80-7a4e00312290 · outbound

This paper cites Real-time planning for automated multi-view drone cinematography.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Real-time planning for automated multi-view drone cinematography

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.033108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:c7a46c0063983cbdb85a6c5a49652043a512e6bc04719e4d8a502d20c3b5120b

Observation 623405b1-70de-475d-a5a1-42d4760ce98d · outbound

This paper cites FORCES Pro: code generation for embed- ded optimization.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors FORCES Pro: code generation for embed- ded optimization

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.061693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:bc1f61bce53ade8428588f8f9e879a77d3a3db4fe9db8f878281d72a3e5042a8

Observation 3c5b181f-e85c-4f81-8a23-eb7af5e65dcc · outbound

This paper cites Robot operating system (ros).

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Robot operating system (ros)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.083217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:a2314531903651bef6e524c436745d0aa96739ee5ad129180c10a45950a18e6e

Observation a00cc5d4-fa04-4ae1-8832-17ae1bd2ecfd · outbound

This paper cites Design and use paradigms for gazebo, an open-source multi-robot simulator.

Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Design and use paradigms for gazebo, an open-source multi-robot simulator

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T14:37:05.097133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

source=pdf_text observed=2026-05-25T14:11:09.950279Z digest=sha256:67468bc3b2846c29d9f532de3fb082d5ee6fe70905ffcae2a5a6ee812899a090

Pith citing papers

No inbound Pith citation observations are available.