Paper Citation Record · LEDGER

Learning to gesticulate by observation using a deep generative approach

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1909.01768.

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

pith.paper-citation-record.v1
1909.01768 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:10:45.578158Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

verified exact0
verified fuzzy21
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ef20522-fdf7-4c70-8574-3b3767fb084d · outbound

This paper cites Journal of Intelligent & Robotic Systems 85(1), 27–45 (Jan 2017).

Learning to gesticulate by observation using a deep generative approach Journal of Intelligent & Robotic Systems 85(1), 27–45 (Jan 2017)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.159855Z

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.

Observation eafb9262-2bd0-440f-9a1d-5aee596bd692 · outbound

This paper cites Creative Robot Dance with Variational Encoder.

Learning to gesticulate by observation using a deep generative approach Creative Robot Dance with Variational Encoder

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T05:10:45.753997Z

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.

Observation bec482e9-78e8-438f-a141-0fcec2184f05 · outbound

This paper cites In: Social signal processing, chap.

Learning to gesticulate by observation using a deep generative approach In: Social signal processing, chap

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.143667Z

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.

Observation 868f5566-9d35-435a-94c4-44e7a97c1d28 · outbound

This paper cites Intelligent Robotics and Autonomous Agents, MIT Press, Cambridge MA, USA (2004).

Learning to gesticulate by observation using a deep generative approach Intelligent Robotics and Autonomous Agents, MIT Press, Cambridge MA, USA (2004)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.127322Z

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.

Observation 6c61fb2c-36be-42b6-b180-ff25cd5ffc7e · outbound

This paper cites OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields.

Learning to gesticulate by observation using a deep generative approach OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Reference 5

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Source-reported events for the cited work

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Observation d53430eb-e17b-4f2f-a709-21c87d9d90d0 · outbound

This paper cites In: CVPR (2017).

Learning to gesticulate by observation using a deep generative approach In: CVPR (2017)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.108614Z

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.

Observation dd0fe9d4-3171-47ae-b8cf-e4478632b10e · outbound

This paper cites Expert Systems and Probabilistic Network Models.

Learning to gesticulate by observation using a deep generative approach Expert Systems and Probabilistic Network Models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.091775Z

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.

Observation 35a5d99d-bb18-470f-a370-57a0742fb59d · outbound

This paper cites Chapman and Hall (1981).

Learning to gesticulate by observation using a deep generative approach Chapman and Hall (1981)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.075500Z

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.

Observation ed62a726-1152-4316-a073-f86fc1285423 · outbound

This paper cites In: International Confer- ence on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automa- tion (ICAMIMIA).

Learning to gesticulate by observation using a deep generative approach In: International Confer- ence on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automa- tion (ICAMIMIA)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.059689Z

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.

Observation 6e736ff1-e06a-4424-ba69-051585945c61 · outbound

This paper cites ArXiv e-prints (Dec 2017).

Learning to gesticulate by observation using a deep generative approach ArXiv e-prints (Dec 2017)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.044034Z

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.

Observation ef641ed9-9ad3-4e71-9483-835f94b6312f · outbound

This paper cites In: Advances in neural information processing systems.

Learning to gesticulate by observation using a deep generative approach In: Advances in neural information processing systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T05:10:45.481313Z

Source-reported events for the cited work

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Observation 322aae47-c8e0-4276-a8e3-18dc22b361dc · outbound

This paper cites Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks.

Learning to gesticulate by observation using a deep generative approach Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T05:10:45.486166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5edb794d-674f-4ddc-beb8-c537d75eb10e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning to gesticulate by observation using a deep generative approach Adam: A Method for Stochastic Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T05:10:45.491601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3549a564-9902-4042-b2fb-0c502ef5ca35 · outbound

This paper cites In: International Conference on Intelligent Robots and Systems (IROS).

Learning to gesticulate by observation using a deep generative approach In: International Conference on Intelligent Robots and Systems (IROS)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:46.018533Z

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.

Observation 4c0357c7-8499-4881-a568-bada1dcc3b04 · outbound

This paper cites Nature 521(7553), 436–444 (2015).

Learning to gesticulate by observation using a deep generative approach Nature 521(7553), 436–444 (2015)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T05:10:45.501300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4255ceda-8c35-4c9a-bc67-06306d77bb84 · outbound

This paper cites an unresolved cited work.

Learning to gesticulate by observation using a deep generative approach Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:10:45.991952Z

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.

Observation 5400e12d-1955-4797-bacc-a9e1ba87b046 · outbound

This paper cites Biologically Inspired Cognitive Architectures 15, 1–9 (2016).

Learning to gesticulate by observation using a deep generative approach Biologically Inspired Cognitive Architectures 15, 1–9 (2016)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.976625Z

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.

Observation c99f460e-48e9-4d65-991c-a4a917ac650e · outbound

This paper cites University of Chicago press (1992).

Learning to gesticulate by observation using a deep generative approach University of Chicago press (1992)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.959724Z

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.

Observation 1c3e64a0-5c24-46f9-82aa-f98afe0be886 · outbound

This paper cites ACM Trans.

Learning to gesticulate by observation using a deep generative approach ACM Trans

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.944029Z

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.

Observation 1b8095e6-07d2-40f9-92c3-457287cbd6e8 · outbound

This paper cites In: International Conference on Robotics, Automation, Control and Embedded Systems (RACE).

Learning to gesticulate by observation using a deep generative approach In: International Conference on Robotics, Automation, Control and Embedded Systems (RACE)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.928252Z

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.

Observation 4496c37e-4058-4f4f-8823-63907c147021 · outbound

This paper cites IEEE Transactions on Robotics 30, 771–778 (Jun 2014).

Learning to gesticulate by observation using a deep generative approach IEEE Transactions on Robotics 30, 771–778 (Jun 2014)

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T05:10:45.681481Z

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.

Observation f26e1363-b784-42ba-85eb-229c1e4ea5de · outbound

This paper cites Master’s thesis, Ecole Centrale de Nantes–Warsaw Uni- versity of Technology (2013).

Learning to gesticulate by observation using a deep generative approach Master’s thesis, Ecole Centrale de Nantes–Warsaw Uni- versity of Technology (2013)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.910798Z

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.

Observation 700be446-437a-4d8d-a936-c92d13d43a0a · outbound

This paper cites In: Proceedings of the IEEE.

Learning to gesticulate by observation using a deep generative approach In: Proceedings of the IEEE

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.893611Z

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.

Observation ff909114-c433-43ec-bd3c-9e2179448b3a · outbound

This paper cites In: IEEE International Conference on Robotics and Automation (ICRA).

Learning to gesticulate by observation using a deep generative approach In: IEEE International Conference on Robotics and Automation (ICRA)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.876901Z

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.

Observation 4be7bc80-4190-46fe-bf9b-9c975a8745d5 · outbound

This paper cites In: International Conference on Humanoid Robots (Humanoids) (2014).

Learning to gesticulate by observation using a deep generative approach In: International Conference on Humanoid Robots (Humanoids) (2014)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.859324Z

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.

Observation cd5fc807-58f0-4e93-a73d-559a37af9c5f · outbound

This paper cites Robotics and Autonomous Systems 114, 57 – 65 (2019).

Learning to gesticulate by observation using a deep generative approach Robotics and Autonomous Systems 114, 57 – 65 (2019)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.843580Z

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.

Observation 4e7f8637-9b27-4438-81ba-234251883b45 · outbound

This paper cites In: International Conference on Robotics and Automation (ICRA).

Learning to gesticulate by observation using a deep generative approach In: International Conference on Robotics and Automation (ICRA)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.827660Z

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.

Observation c4176a3a-f684-4a0f-9297-9dc30f0abaca · outbound

This paper cites an unresolved cited work.

Learning to gesticulate by observation using a deep generative approach Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:10:45.812193Z

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.

Observation 839deb03-dbf3-4310-af86-b3c53a1da397 · outbound

This paper cites PLOS ONE 13(7), 1–21 (Jul 2018).

Learning to gesticulate by observation using a deep generative approach PLOS ONE 13(7), 1–21 (Jul 2018)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.796651Z

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.

Observation e4b633bb-b131-4029-a22f-4e14cf63ceb0 · outbound

This paper cites Chemometrics and intelligent laboratory systems 2(1-3), 37–52 (1987).

Learning to gesticulate by observation using a deep generative approach Chemometrics and intelligent laboratory systems 2(1-3), 37–52 (1987)

Reference 30

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Source-reported events for the cited work

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Observation 2bd69569-53ff-4106-81d8-58376471919a · outbound

This paper cites Applied Sciences 8(10) (2018), https://www.mdpi.com/ 2076-3417/8/10/2005.

Learning to gesticulate by observation using a deep generative approach Applied Sciences 8(10) (2018), https://www.mdpi.com/ 2076-3417/8/10/2005

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:10:45.770504Z

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.

Pith citing papers

No inbound Pith citation observations are available.