Paper Citation Record · LEDGER

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.00564.

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

pith.paper-citation-record.v1
2509.00564 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:32:32.879207Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy26
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21b9717d-136d-45d9-9202-b78755b8630f · outbound

This paper cites The role of robots in entertainment,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot The role of robots in entertainment,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:36.338738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25102818-3df5-443a-9db4-89e90ccaf6a0 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:30.014674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8108b01-00b6-4a6d-af31-0bc1b2ba22f8 · outbound

This paper cites Aerial filming with synchronized drones using reinforcement learning,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Aerial filming with synchronized drones using reinforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:36.129130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0afb24c3-20a3-4a9d-997f-1fee472326a1 · outbound

This paper cites Autonomous camera systems: A survey,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Autonomous camera systems: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.878245Z

Source-reported events for the cited work

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Observation 5d1f140d-4b19-46e5-94ca-ad6c17f00380 · outbound

This paper cites Hybrid robotic/virtual pan-tilt- zom cameras for autonomous event recording,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Hybrid robotic/virtual pan-tilt- zom cameras for autonomous event recording,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.558014Z

Source-reported events for the cited work

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Observation c1ecd098-bf80-4ef1-9b75-6e50fc27db8e · outbound

This paper cites Virtual forces for camera planning in smart vision systems,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Virtual forces for camera planning in smart vision systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.289021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 090fc536-e31b-4b01-bcee-10bc9ae86f05 · outbound

This paper cites Computational sports broadcasting: Automated director assistance for live sports,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Computational sports broadcasting: Automated director assistance for live sports,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.212035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 61e07fb6-7eba-480a-8790-5e47029eaac0 · outbound

This paper cites Reinforcement learning in robotic applications: A comprehensive survey,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Reinforcement learning in robotic applications: A comprehensive survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.201999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 12f32447-2a62-4b7f-974d-ae4a010f0a79 · outbound

This paper cites Reinforcement learning for robot research: A comprehensive review and open issues,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Reinforcement learning for robot research: A comprehensive review and open issues,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.194517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd50027f-6646-4fef-baf8-5e2a3b8863fe · outbound

This paper cites Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:32:33.144958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4026779d-7506-4b25-83b1-b0a6d1c98682 · outbound

This paper cites Deep reinforcement learning for controlling frontal person close-up shooting,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Deep reinforcement learning for controlling frontal person close-up shooting,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.186966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55242f3d-5395-4936-ab23-66ed2f7d3058 · outbound

This paper cites Decentralized reinforcement learning applied to mobile robots,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Decentralized reinforcement learning applied to mobile robots,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.178708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c741741-2d36-43be-8772-1ee80fe81980 · outbound

This paper cites Fractional-order active disturbance rejection control with fuzzy self-tuning for precision stabilized plat- form,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Fractional-order active disturbance rejection control with fuzzy self-tuning for precision stabilized plat- form,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.170657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2509e929-3e24-4c3c-ac8e-b72f61ba3132 · outbound

This paper cites A practical guide to multi-objective reinforcement learning and planning,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot A practical guide to multi-objective reinforcement learning and planning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.162688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f79c0bd-26a7-4722-a8f0-0cb57bb798b2 · outbound

This paper cites Glossary of Virtual Reality Terminol- ogy,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Glossary of Virtual Reality Terminol- ogy,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.154739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb72b376-89e4-459a-917e-09db46e1110f · outbound

This paper cites Static saliency vs. Dynamic saliency: A comparative study,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Static saliency vs. Dynamic saliency: A comparative study,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.146790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e092e8c-5983-4f41-90f2-c3c15c7cf9ff · outbound

This paper cites Opencv 4.5.0,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Opencv 4.5.0,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.138890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 860c7a8e-bc16-4f88-877a-c8cb522f892f · outbound

This paper cites Image analysis using moments,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Image analysis using moments,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.131388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7b134a6-1cfb-4360-9c55-4ff0698a7da5 · outbound

This paper cites Reward function and initial values: Better choices for accelerated goal-directed rein- forcement learning,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Reward function and initial values: Better choices for accelerated goal-directed rein- forcement learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.122935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c81b5dbb-8d1c-49be-b569-d53730f87fda · outbound

This paper cites Addressing function approx- imation error in actor-critic methods,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Addressing function approx- imation error in actor-critic methods,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:35.113995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d091395-4473-4f89-b387-d9d8f2349742 · outbound

This paper cites Predicting optimal value functions by inter- polating reward functions in scalarized multi-objective reinforcement learning,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Predicting optimal value functions by inter- polating reward functions in scalarized multi-objective reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:34.928274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e14c607a-61b0-4954-8375-1ad6f0e6925c · outbound

This paper cites Pybullet, a python module for physics sim- ulation for games, robotics and machine learning.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Pybullet, a python module for physics sim- ulation for games, robotics and machine learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:34.700279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4dc31ad-d403-4436-adce-b0606e8da07b · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Pytorch: An imperative style, high- performance deep learning library,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:34.465367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa9a67d1-3674-4cde-85fe-9d074d7ab073 · outbound

This paper cites OpenAI Gym.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot OpenAI Gym

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:32.402653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f4de84-26d2-4dfa-9d1e-aa27f1eaed83 · outbound

This paper cites Rosbot 2.0 official documentation.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Rosbot 2.0 official documentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:34.307274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd8a5331-9c97-46ba-a0eb-2f7029e6eaea · outbound

This paper cites Interbotix ros turrets.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Interbotix ros turrets

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:34.019170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9543b2ac-477a-4f0f-ac64-27cc2fc2ddd6 · outbound

This paper cites Robotic operating system.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Robotic operating system

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:33.807114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ac1b813-fd3d-4e55-8f09-00dbabbee67d · outbound

This paper cites Frech, simple-pid: A Simple PID Controller API for Python , 2023.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Frech, simple-pid: A Simple PID Controller API for Python , 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:33.533453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9491e62-0711-4726-9450-46edb70ee68e · outbound

This paper cites Sim2real predictivity: Does evaluation in simulation predict real-world performance,.

Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Sim2real predictivity: Does evaluation in simulation predict real-world performance,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:32:33.323929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.