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Paper Citation Record · LEDGER

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.16800.

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

pith.paper-citation-record.v1
2501.16800 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:39:38.297367Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved12
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1103aed-59bd-4f11-a4ad-ce472bb0f0d8 · outbound

This paper cites write newline.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.133056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.133056Z digest=sha256:11770049caa7ca0f690c60871aa08f897ab60aa7b4f9ecf1d4ee0ffd4e7aa145

Observation 6cb9e99b-169b-4bf1-912b-81ef372ae89e · outbound

This paper cites Human to robot whole-body motion transfer.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Human to robot whole-body motion transfer

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.785400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.138582Z digest=sha256:6e54b0aa864376f4e9b347f96208519e5b45f48ce859340bbb89ae1c0c879bce

Observation 92f7da3b-be62-4a2b-a813-7a5377cc8616 · outbound

This paper cites Human-to-Robot Imitation in the Wild.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Human-to-Robot Imitation in the Wild

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.143917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.143917Z digest=sha256:584d06b71a336765544246b1b318408350828d295d67434e378a696f69aa4788

Observation 9973e7dd-f8af-4597-ac98-a7e35f7c3460 · outbound

This paper cites Real-time holistic robot pose estimation with unknown states.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Real-time holistic robot pose estimation with unknown states

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.773883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.148802Z digest=sha256:2546b9438bf6d0dd63e3b8b642586e3bb6254cf59e48c42ed962326987179cea

Observation 0a94bd6e-a78a-4390-84cc-0860e45b1884 · outbound

This paper cites Ilvr: Conditioning method for denoising diffusion probabilistic models.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Ilvr: Conditioning method for denoising diffusion probabilistic models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.762201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.153221Z digest=sha256:d16af72d42e64bf8984f5f77bf648f140cb926cc04358626751cd142235bb5a8

Observation f4dd8cac-cdc3-4dce-94e5-8608bb8ab055 · outbound

This paper cites Openmmlab pose estimation toolbox and benchmark.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Openmmlab pose estimation toolbox and benchmark

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.157592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.157592Z digest=sha256:498a97ad5fe4e71ea053b34a858ac2fa8f3df82efbcaba46de23d54d1ba4e8b0

Observation bfc26caa-706d-4eb0-af79-4a44471320e0 · outbound

This paper cites Imitation of human motion on a humanoid robot using non-linear optimization.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Imitation of human motion on a humanoid robot using non-linear optimization

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.743200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.161792Z digest=sha256:0107d69cfe9ed9192df8b5b4a4ca1b0370f3963ffbf8abbead40d96006a7f21b

Observation 0497f87a-2ff3-4bb5-89dc-0129acfbc6d1 · outbound

This paper cites Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.729827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.166411Z digest=sha256:26b3a32c33ec7d403a294fa8e12737edfa05bb9778b9d3d18f48d306ca0c4bd0

Observation 281d3378-fe33-4f40-88e7-afa05217c8eb · outbound

This paper cites One-shot visual imitation learning via meta-learning.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model One-shot visual imitation learning via meta-learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.718171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.170537Z digest=sha256:62142437efde6029bd2616b18904b7c3ff3347032cada7dd00ac2a92d7fa7cf2

Observation 97c07387-a215-4609-96de-adb030c77651 · outbound

This paper cites Domain adaption as auxiliary task for sim-to-real transfer in vision-based neuro-robotic control.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Domain adaption as auxiliary task for sim-to-real transfer in vision-based neuro-robotic control

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.706507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.174683Z digest=sha256:e267fb82f5a47aed34c49bff6d33845fe4d2eda51a3c24c4612c3f1ea9def775

Observation ed7bfb06-b3a5-46df-ad1d-fd8f124b3acb · outbound

This paper cites Cycleik: Neuro-inspired inverse kinematics.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Cycleik: Neuro-inspired inverse kinematics

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.178902Z digest=sha256:c77dac62c25a1b62fbd5784dd2d658f29575a1bfb60118691be1040807f5d658

Observation 26cbbcdc-6940-47b5-a5d6-ae6106a24c14 · outbound

This paper cites Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents

Reference 12

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unresolved
no resolver link, observed 2026-08-10T10:39:38.183096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.183096Z digest=sha256:33848a4d3aee0fabc829f44abc0884a0ff55e6efa995afba24f3b7f756779888

Observation 9ccbee14-0950-4619-ad3f-6d51e9aa4efa · outbound

This paper cites Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Reference 13

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unresolved
no resolver link, observed 2026-08-10T10:39:38.188382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.188382Z digest=sha256:4fa9355633239ce9cb324382b9c071e160d252a54d1d4f972ab0ed04bb9e2ac4

Observation c0365935-eae2-4f97-9a1e-9e7a917948a6 · outbound

This paper cites Embodied multi-modal interaction in language learning: the emil data collection.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Embodied multi-modal interaction in language learning: the emil data collection

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.684901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.192360Z digest=sha256:1b1611bbb76df076ff51e52e367f5d1925daa5d8f1be732acb8bad13162f4ddb

Observation ae8c5b24-b276-48db-ae37-b756e79143fb · outbound

This paper cites Denoising diffusion probabilistic models.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Denoising diffusion probabilistic models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.195519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.195519Z digest=sha256:c55a1537b660c94b20d89d935061b1ca12e2a38b7bf75ac6609915016d59579e

Observation 03834ddc-c0b3-4291-9735-60c7a9dc8aff · outbound

This paper cites Imitation learning: A survey of learning methods.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Imitation learning: A survey of learning methods

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.665390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.198526Z digest=sha256:f894704d1b01fd52dc6849e199d0f797c93219ed6ec654d50500b27e4cbc25eb

Observation c13659ec-dcaa-4d6e-83d6-688cc48428fc · outbound

This paper cites Nico—neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Nico—neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.654083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.201882Z digest=sha256:3b16900135fbf3c4fab3350dad928f5440af1bbe5494e551a8ef545edf8ffd12

Observation 44f00a38-eca7-4f1e-9a16-a7e0ecfae0e5 · outbound

This paper cites Nicol: A neuro-inspired collaborative semi-humanoid rrobot that bridges social interaction and reliable manipulation.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Nicol: A neuro-inspired collaborative semi-humanoid rrobot that bridges social interaction and reliable manipulation

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.205257Z digest=sha256:1bb8a794a45e8a7d3decc7f4bde010374bee84d0faccb15f417b512157a3c8c5

Observation 6d22495c-ac20-4dfb-a2fb-d264392145cc · outbound

This paper cites Real-time imitation of human whole-body motions by humanoids.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Real-time imitation of human whole-body motions by humanoids

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.632040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.208220Z digest=sha256:a9a060b63edb9f00df5b9658cfea74cb3bfacce64d8b2558af2e9f0de2f95c06

Observation b3f57653-ee52-42eb-bf96-b5ee87c2da6f · outbound

This paper cites Imitation from observation: Learning to imitate behaviors from raw video via context translation.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Imitation from observation: Learning to imitate behaviors from raw video via context translation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.620624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.214625Z digest=sha256:f55f7b451defe369a69ec9ad1465550e4ba47b65115eb8205a31f13e8693cd14

Observation 89a210fc-5254-4950-bd49-013040ad5c7c · outbound

This paper cites Diffusion action segmentation.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Diffusion action segmentation

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.217689Z digest=sha256:6870a60292b4e5fcf7b11202525c97cec784b809de8b7a663dfd13cbcae69e72

Observation fb12d472-78c5-4458-8361-2f97f915d94f · outbound

This paper cites Rtmo: Towards high-performance one-stage real-time multi-person pose estimation.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Rtmo: Towards high-performance one-stage real-time multi-person pose estimation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.595471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.220728Z digest=sha256:059508169f9fe761f15b75f6d08a691909a3eaedf4a3258fc27de57b863881ab

Observation b7b52e88-a6bb-46c7-b2ce-6a5bcb9a8854 · outbound

This paper cites Foundations for a new science of learning.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Foundations for a new science of learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.583764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.223891Z digest=sha256:191c0ea7f1f3c242303a28f17c2d607235bcf9b3fd3e8cf6c779510b6a4139b8

Observation 176612bf-a308-4bb3-80be-f0e3349e9ba2 · outbound

This paper cites Nehaniv and Kerstin Dautenhahn.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Nehaniv and Kerstin Dautenhahn

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.572619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.226918Z digest=sha256:dc69cdc40fca13316e4b63ebeae25be46eca4ffb03ef962f199a0dbf0a4932d7

Observation e65bbf34-3468-4a4b-9c6e-4fc80d0594c5 · outbound

This paper cites Improved denoising diffusion probabilistic models.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Improved denoising diffusion probabilistic models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.557799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.230023Z digest=sha256:3e899185b324caa8d7ff97882261fcf528e91a9918f2e5d6e0dd3f6e30e24111

Observation ae48b868-28bc-41ab-9121-cba698f9ed44 · outbound

This paper cites A real-time human imitation system using kinect.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model A real-time human imitation system using kinect

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.546196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.233159Z digest=sha256:bf5d25914ed30d02475a7a9d06cdc3fac4c68faf51638de011ce6957888b34e6

Observation 2494e711-1500-481f-ad08-fba719ab665e · outbound

This paper cites QuaterNet: A Quaternion-based Recurrent Model for Human Motion.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.236772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.236772Z digest=sha256:9d90908c09583086ee9df12d5ba9d096ef4b06a7cb5e5aaeba49068779be0642

Observation ed386cd9-bec7-49bd-bbed-e435a785d67e · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model U-net: Convolutional networks for biomedical image segmentation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.535383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.240630Z digest=sha256:a399748fc8bcb3d087eb78c8b1b4be32c739ac63c3a561f7af893be3d5ae8b45

Observation b3bae48f-e930-41b3-9546-5f30184ffc51 · outbound

This paper cites Time-contrastive networks: Self-supervised learning from video.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Time-contrastive networks: Self-supervised learning from video

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.524225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.244929Z digest=sha256:c4439d7e9e4ce5bb5c8a39ac42fddf566fca264e2bd98c8f36c5377050fc4da2

Observation 653bd81a-0008-436e-b7f9-232d2379a7bc · outbound

This paper cites Multiple interactions made easy (mime): Large scale demonstrations data for imitation.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Multiple interactions made easy (mime): Large scale demonstrations data for imitation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.512512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.249109Z digest=sha256:dddfd916264523b1a9b5b8a533e8598919e0369f4d55d947361e6d60ab2f1811

Observation 46d2955a-e264-4b23-8e8f-721f28a50d23 · outbound

This paper cites Third-person visual imitation learning via decoupled hierarchical controller.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Third-person visual imitation learning via decoupled hierarchical controller

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.500032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.253205Z digest=sha256:e616bc1873920ff1831a90cf65b9d143a7174f8e1085ff8a7e4f4048f362eda2

Observation f19d7843-b3b5-4607-adb3-4e6d1a10c0af · outbound

This paper cites AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.257200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.257200Z digest=sha256:2cea3cbf18fbed2c719cf4b1de28a384246a2c96168dc25e5f435a1d3e851976

Observation 0548fdd0-49a5-4fd2-b28a-1ed5294e506c · outbound

This paper cites Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.261658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.261658Z digest=sha256:9340b5a4d50be2bb7b361e77e852676b4bffe1e079530dd81c14d53a66bd703e

Observation 95ebce10-4593-49ab-a0aa-2dc5e46359b7 · outbound

This paper cites Robotic Imitation of Human Actions.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Robotic Imitation of Human Actions

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.265696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.265696Z digest=sha256:04e4a458520e850f5c6a133a9f8a75f599a8472b1b7c98a268bf8c05e5148ce0

Observation 53b9b880-8d53-4b15-ba7b-83a3f4cc3ed6 · outbound

This paper cites Teleoperation of a humanoid robot using full-body motion capture, example movements, and machine learning.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Teleoperation of a humanoid robot using full-body motion capture, example movements, and machine learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.486584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.270103Z digest=sha256:33a4e6ad4b327cbc6390a750be70deb213da98550d800a9d5e59aef4317308f2

Observation 6972847d-f7d9-4be1-b549-a21d5cd949c5 · outbound

This paper cites On human motion imitation by humanoid robot.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model On human motion imitation by humanoid robot

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.474217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.273938Z digest=sha256:9639ea0c2236c0edf7c6a41407bef8529b8a2b5607b87ab3214b45761aaadabd

Observation 705dfd08-f755-47eb-ac31-24a4b646f73e · outbound

This paper cites Integrating reinforcement learning with human demonstrations of varying ability.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Integrating reinforcement learning with human demonstrations of varying ability

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.460888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.277595Z digest=sha256:ae1e5bd669c7ddb48adef40633c759639c90d9d29b4e8b92391eeffe6047e8bd

Observation de3a78bf-74eb-4835-bd6f-06f90e430b25 · outbound

This paper cites One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.281526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.281526Z digest=sha256:956d915bd3e81570aad649e6f785c4af9ea980a560d0790e0c2812f82dcf3105

Observation 716f1655-ab15-436d-a216-af7e9d764d6f · outbound

This paper cites Imitation system of humanoid robots and its applications.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Imitation system of humanoid robots and its applications

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.448212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.285731Z digest=sha256:652832560027b672a6651c80d6efc5ec3efc1f31b28cee22bf5b2156b60abfb2

Observation 515c06dd-2ec8-4e40-966d-2445ffc75508 · outbound

This paper cites A real-time upper-body robot imitation system.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model A real-time upper-body robot imitation system

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.436755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.289760Z digest=sha256:803b747db7fc0ea52cf199a86b739e9483155cc922e742a9b77304712e6c843f

Observation 1789e15e-2a80-4b9e-bb91-2d44956c6902 · outbound

This paper cites PyTorch Kinematics , February 2024.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model PyTorch Kinematics , February 2024

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T10:39:38.293663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:39:38.293663Z digest=sha256:30bb188ce5743bff410efe6e7e049efa78ebf7119b26ca5539d7d60e187ac944

Observation b4f9b1ae-850e-467d-8a37-b8042dc00f76 · outbound

This paper cites Motionbert: A unified perspective on learning human motion representations.

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model Motionbert: A unified perspective on learning human motion representations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T10:39:38.418638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T10:39:38.297367Z digest=sha256:60f250186f6c5d261c347a41dda3a8097da402fd0ec135f3bdec7348524087f2

Pith citing papers

No inbound Pith citation observations are available.