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Paper Citation Record · LEDGER

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2509.00574.

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

pith.paper-citation-record.v1
2509.00574 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:32:58.034776Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64496162-1cf9-4d7d-8d65-fa265cb30175 · outbound

This paper cites Autonomous camera systems: A survey,.

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

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:59.887448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4fdc1418-547a-44dd-bd3c-cbffdf53f52f · outbound

This paper cites Reinforcement learning of dolly-in filming using a ground-based robot,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Reinforcement learning of dolly-in filming using a ground-based robot,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:59.738091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8d73d348-e657-4c84-962a-36a60496cfab · outbound

This paper cites Argall, Learning Mobile Robot Motion Control from Demonstration and Corrective Feedback.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Argall, Learning Mobile Robot Motion Control from Demonstration and Corrective Feedback

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:59.593599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1886953c-f7d6-47de-b613-35c19bf84f2a · outbound

This paper cites Bonatti, Y.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Bonatti, Y

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T13:32:59.402675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4e19eaa6-254e-4302-b8d0-00f5850fdaa2 · outbound

This paper cites Can we enable the drone to be a filmmaker?,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Can we enable the drone to be a filmmaker?,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:59.274907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:32:57.255111Z digest=sha256:7cea7f434ca2af3623efe800231603435be8456ecb3133c63985534bfcaaa661

Observation d12cc5c5-0767-4f1e-938b-355428f4310f · outbound

This paper cites Shinners, “Pygame.” http://pygame.org/, 2011.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Shinners, “Pygame.” http://pygame.org/, 2011

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:59.132191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 08d2e8ab-319b-48a5-b888-4dcf433fd3bf · outbound

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

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Pybullet, a python module for physics simulation for games, robotics and machine learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:58.979820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a38a07c5-7312-4026-9f23-829ccd7423a1 · outbound

This paper cites OpenAI Gym.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot OpenAI Gym

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:32:57.481484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 73a3da88-00ff-4d5d-b7db-8e9bcdeae3b3 · outbound

This paper cites An algorithmic perspective on imitation learning,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot An algorithmic perspective on imitation learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:58.833353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4ab32ffa-0da5-4c96-bba4-4f48e4b36c1e · outbound

This paper cites imitation: Clean Imitation Learning Implementations.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot imitation: Clean Imitation Learning Implementations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T13:32:57.600838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5290244-3f63-459a-a2ec-a74288ab161c · outbound

This paper cites Proximal policy optimization algorithms,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Proximal policy optimization algorithms,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T13:32:57.684561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:32:57.684561Z digest=sha256:aaafaacd275fa2a25237f3bc71dc817418ea37afba18073587a3127a7f0de737

Observation db1ac001-1b65-41f1-ab24-72d95ea67038 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implemen- tations,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Stable-baselines3: Reliable reinforcement learning implemen- tations,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:58.638386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3e8ac630-4061-4e00-babc-60f083eca63d · outbound

This paper cites Generative adversarial imitation learning,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Generative adversarial imitation learning,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:58.496998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f3180606-edc8-4c99-9a88-14acb5e82fcb · outbound

This paper cites Enhancing construction robot learning for collabo- rative and long-horizon tasks using generative adversarial imitation learning,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Enhancing construction robot learning for collabo- rative and long-horizon tasks using generative adversarial imitation learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:58.318771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:32:57.891871Z digest=sha256:d2334a8f77ff880bb2753b9f28bec7d37aad24db9f23426227f2ae72eb997dc8

Observation 533fa65a-d9b0-4cde-8af3-2f780d397b71 · outbound

This paper cites Generative adversarial imitation learning with deep p-network for robotic cloth manipulation,.

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot Generative adversarial imitation learning with deep p-network for robotic cloth manipulation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:32:58.181859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:32:57.951517Z digest=sha256:445c81bb451a8cf9664e3abdf68877dbc6e05140209ddec9616bbdd32caf7cb4

Observation a44787fa-be2d-47c3-8294-b98ed4a516bf · outbound

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

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

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T13:32:58.034776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.