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Paper Citation Record · LEDGER

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2505.06963.

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

pith.paper-citation-record.v1
2505.06963 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:31:36.365635Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T14:36:59.767811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:51:09.236747Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 70a7e82f-9bdd-4408-a36b-5e82630d3936 · outbound

This paper cites Learning to Assist Drone Landings,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Learning to Assist Drone Landings,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T22:31:36.283465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:36.283465Z digest=sha256:612ae1712badc3090d9f8c4cbf8d8ecceabbff2b9c019490ffc40292a5de6f0b

Observation 2d934bb5-fb46-4f57-bee5-cea021da26dc · outbound

This paper cites Autonomous Approach and Landing for a Low -Cost Quadrotor Using Monocular Cameras,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Autonomous Approach and Landing for a Low -Cost Quadrotor Using Monocular Cameras,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:31:36.901632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.293431Z digest=sha256:f7f6e0f1d8e519868b2b91591367d90f767dd5c4152ce19057a5854419b2c12b

Observation 29ec8995-a2b5-4e3b-8ba8-d8b08f77f029 · outbound

This paper cites Systems and methods for autonomous landing using a three dimensional evidence grid,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Systems and methods for autonomous landing using a three dimensional evidence grid,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:31:36.888261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.302703Z digest=sha256:b97899b59395fdb54fd69c476fc19aef8b2e14f2bcec50f4669cde662a659155

Observation b523a08f-313d-408c-a5cc-dd5203889768 · outbound

This paper cites Autonomous Quadrotor Landing using Deep Reinforcement Learning.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Autonomous Quadrotor Landing using Deep Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:31:36.316429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:36.316429Z digest=sha256:3e5defa4c5f616dbed10cda53e26e26fcacd554ad9ca432f44988c8ee7f65105

Observation 00f5e38d-6fc1-414f-a15c-e519a8aa7bff · outbound

This paper cites Monocular Visual Autonomous Landing System for Quadcopter Drones Using Software in the Loop,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Monocular Visual Autonomous Landing System for Quadcopter Drones Using Software in the Loop,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T22:31:36.326228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:36.326228Z digest=sha256:a24324a3f10378b258ff8232ef3874fc2b0cc58258c54b4e57c0fbd2a90c4e6f

Observation 6f2b5027-6c41-4b25-81a9-5a3059a706f2 · outbound

This paper cites Autonomous landing of an Unmanned Aerial Vehicle on an autonomous marine vehicle,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Autonomous landing of an Unmanned Aerial Vehicle on an autonomous marine vehicle,

Reference 9

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T22:31:36.649971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.330538Z digest=sha256:8f7a02b742d4d180e1b6a33bd4aed4edcd31b2e38d868d8f7e2a65e4270eea7a

Observation 300f566d-55bd-47a5-b720-8108150476b8 · outbound

This paper cites Vision-based Autonomous Landing Control of a Multi-rotor Aerial Vehicle on a Moving Platform with Experimental Validations,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Vision-based Autonomous Landing Control of a Multi-rotor Aerial Vehicle on a Moving Platform with Experimental Validations,

Reference 10

Resolution
verified exact
doi, observed 2026-08-15T22:31:36.432190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.334781Z digest=sha256:640c1dad4471b68285f4b66c1f7288f53e5009430dabc8a794f0af606660ad71

Observation e65fcfcc-94bc-4448-b99e-05b0d53a68f1 · outbound

This paper cites Landing system for AR.Drone 2.0 using onboard camera and ROS,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Landing system for AR.Drone 2.0 using onboard camera and ROS,

Reference 11

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T22:31:36.572896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.339509Z digest=sha256:007701a5e03cb6c6d4b294b7a26ab9acf6e6a726cd0d7a475314310c3263446a

Observation ac24e456-9620-40b7-874e-917a23b92574 · outbound

This paper cites Deep learning for vision -based micro aerial vehicle autonomous landing,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Deep learning for vision -based micro aerial vehicle autonomous landing,

Reference 13

Resolution
verified exact
doi, observed 2026-08-15T22:31:36.417304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.349423Z digest=sha256:658222076a23f3ba716d431b7c2c2aaed3c0328720210d1cdb7d0f576cf1e1ad

Observation 2bbdd062-6794-4532-ab06-bf5255fa5191 · outbound

This paper cites Reinforcement learning for shared autonomy drone landings,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Reinforcement learning for shared autonomy drone landings,

Reference 14

Resolution
verified exact
doi, observed 2026-08-15T22:31:36.402494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.353571Z digest=sha256:1d140ac0380bad4faff0c88a1a29dfc21fa90ec01ecab555a9b786b30faa57de

Observation a8e2ac54-6323-434d-af4a-dad6e6bed6fd · outbound

This paper cites Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual –Inertial Approach,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual –Inertial Approach,

Reference 15

Resolution
verified exact
doi, observed 2026-08-15T22:31:36.489831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.357747Z digest=sha256:c59534530ae72fd444b23a0f274b105ac303d18fd967be17c9f5ce7aab46dd8a

Observation 708b9873-37c3-4ada-beda-43a1578dec0a · outbound

This paper cites Towards autonomous landing on a moving vessel through fiducial markers,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Towards autonomous landing on a moving vessel through fiducial markers,

Reference 16

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T22:31:36.793784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.361746Z digest=sha256:7782b8489dc7390f708bd7987166fff7a99a95801a5d2ea89b08ef56ede24b00

Observation 79452363-ac1b-4522-a898-bad8f5111139 · outbound

This paper cites A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform,.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T22:31:36.365635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:36.365635Z digest=sha256:3facca2c219ddb60132f296c986543761dccd587c329980b0e56b63c739d215f

Observation 7ce352c2-9eea-4838-97c7-7e23a729449e · outbound

This paper cites an unresolved cited work.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Unresolved cited work

Reference 222

Resolution
verified exact
doi, observed 2026-08-15T22:31:36.473917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.297984Z digest=sha256:1fa7f9058a8c535723616bd76d18e21d3cdc1c8342f6f167fc6b982502be179b

Observation cbed4f6d-28ee-4341-b353-db47f925a4df · outbound

This paper cites Available: https://patents.google.com/patent/US8996207B2/en.

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing Available: https://patents.google.com/patent/US8996207B2/en

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:31:36.872623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:31:36.307284Z digest=sha256:cb86905ded9b506df89a7c9177f29b8ede0a9ed4b699945ccc52ce046263928e

Pith citing papers

Observation 799338e7-ae3f-432f-b2d1-893f8fc8bcb0 · inbound

Evidence-Based Landing Site Selection and Vison-Based Landing for UAVs in Unstructured Environments cites this paper.

Evidence-Based Landing Site Selection and Vison-Based Landing for UAVs in Unstructured Environments Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:51:09.239732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T14:36:59.767811Z digest=sha256:91a69cceb86893dbf0b75e52bdb913132e46ae954181cb8d9f94b91773692bf0