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Paper Citation Record · LEDGER

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot

As of 21 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 2 inbound Pith citation observations for arXiv:2507.03930.

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

pith.paper-citation-record.v1
2507.03930 v2

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:04:38.284321Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:52:10.948248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:01:02.260818Z

Reference resolution

73 of 73 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved42
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78d712a1-16bc-486c-a824-4604dd7ab393 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 1

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Observation 7f092340-47cb-49dd-8149-52271bf60658 · outbound

This paper cites RVT-2: Learning Precise Manipulation from Few Demonstrations.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 2

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Observation 31cfb3de-7935-4580-bd20-11a335c8bf35 · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 3

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Observation 7a714ebc-19cf-4cee-95b6-f3ff2aeb18a1 · outbound

This paper cites 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d rep- resentations,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d rep- resentations,

Reference 4

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Observation 92b457bf-7a62-4c98-bc38-210a6d50fdc4 · outbound

This paper cites Act3d: 3d feature field transformers for multi-task robotic manipulation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Act3d: 3d feature field transformers for multi-task robotic manipulation,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 59694feb-0c45-4419-afd0-80046d5fc7ca · outbound

This paper cites Perceiver-actor: A multi- task transformer for robotic manipulation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Perceiver-actor: A multi- task transformer for robotic manipulation,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 225ef6b7-a4e6-4284-9ba8-3ac7ef4fa71b · outbound

This paper cites Cliport: What and where pathways for robotic manipulation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Cliport: What and where pathways for robotic manipulation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 438ab5ad-24c4-49d4-b62b-87701bf0784f · outbound

This paper cites Behavioral Cloning from Observation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Behavioral Cloning from Observation

Reference 8

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Observation 15156ae6-2767-46e9-b380-bd36fab09844 · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 68c22cbb-46e9-47e2-965c-9a8c013ba918 · outbound

This paper cites Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 10

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Observation bbe51a82-8999-4e28-988d-13f0dc3a693c · outbound

This paper cites 3DWG: 3D Weakly Supervised Visual Grounding via Category and Instance-Level Alignment.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot 3DWG: 3D Weakly Supervised Visual Grounding via Category and Instance-Level Alignment

Reference 11

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local_arxiv, observed 2026-08-06T20:04:38.591644Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 971c219c-b80e-4a5b-b8e5-43f636c794ed · outbound

This paper cites Lidar-llm: Exploring the potential of large language models for 3d lidar understanding,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Lidar-llm: Exploring the potential of large language models for 3d lidar understanding,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bf823671-fdd0-401e-8224-5009d6228eb2 · outbound

This paper cites A survey of robot learning from demonstration,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot A survey of robot learning from demonstration,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation be93006d-d365-4105-8310-cb689286246d · outbound

This paper cites Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning

Reference 14

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Observation afed9b49-4088-4895-ba8c-35654514130c · outbound

This paper cites Gello: A general, low- cost, and intuitive teleoperation framework for robot manipulators,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Gello: A general, low- cost, and intuitive teleoperation framework for robot manipulators,

Reference 15

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Observation b3232e4e-2680-440d-8873-0565cd5425ad · outbound

This paper cites Holo-dex: Teaching dexterity with immersive mixed reality,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Holo-dex: Teaching dexterity with immersive mixed reality,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1e415c74-65ab-47f9-80ff-6a84ef98dd5c · outbound

This paper cites Dexpilot: Vision-based tele- operation of dexterous robotic hand-arm system,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Dexpilot: Vision-based tele- operation of dexterous robotic hand-arm system,

Reference 17

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Observation edd10245-18f8-4bc6-9f03-f5849f35dfea · outbound

This paper cites AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System

Reference 18

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Observation 704e6df0-675a-4cb7-a709-1b8e6f1e7686 · outbound

This paper cites Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1d98ff5a-efa7-40b7-8a84-0370a10060e1 · outbound

This paper cites Shared-autonomy control for intuitive bimanual tele-manipulation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Shared-autonomy control for intuitive bimanual tele-manipulation,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b50d0111-b1b3-400f-baba-33e78130eed3 · outbound

This paper cites A teleoperation interface for loco-manipulation control of mobile col- laborative robotic assistant,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot A teleoperation interface for loco-manipulation control of mobile col- laborative robotic assistant,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.135840Z digest=sha256:a96b5124d163d9115bfc21e6b4e2f7a018a3c4fb2a02745eda9eec322cede7ed

Observation 285c9966-603b-4045-beb9-17c1f24efb14 · outbound

This paper cites ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback

Reference 22

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source=pdf_text observed=2026-08-06T20:04:38.138214Z digest=sha256:1ab61d2489bb69ed41f8323c5c281096cbf10c3ced07a9dc94cdc2e26c064de5

Observation b3f3adf4-7e09-4cc7-8797-2ef1f31c39dc · outbound

This paper cites AR2-D2:Training a Robot Without a Robot.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot AR2-D2:Training a Robot Without a Robot

Reference 23

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source=pdf_text observed=2026-08-06T20:04:38.141246Z digest=sha256:f06b143aebd3977c274cff6a9be34c794b2ad4673ba2b88a3502b2a982a9824f

Observation 9e559d3b-ebd3-4a3f-9675-57c707200f6a · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 24

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source=pdf_text observed=2026-08-06T20:04:38.143982Z digest=sha256:bf23f0a00e5b80b20a75ec1e272209d0f43d7adc8f83a527872e9ffb6bf2be4e

Observation 30e3bb58-c60f-4564-907d-eb2c724fca9d · outbound

This paper cites DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Reference 25

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source=pdf_text observed=2026-08-06T20:04:38.146478Z digest=sha256:f0973bb2efb20184e97b5cbb15034f292823c5685a27edfe98af8dc72d059b7f

Observation 86b41f6a-8a2e-45f1-a852-bb353a1d0de7 · outbound

This paper cites Learn- ing periodic tasks from human demonstrations,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Learn- ing periodic tasks from human demonstrations,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.149245Z digest=sha256:84611fed877e21cb384871ddd22ffcf02b401676cceb31ff68dd18a6601613e3

Observation ecb4b81c-92e7-4fae-adb8-26ed0277c9d4 · outbound

This paper cites Robotube: Learning household manipulation from human videos with simulated twin environments,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Robotube: Learning household manipulation from human videos with simulated twin environments,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.152232Z digest=sha256:250a3f5ad3f3ab642a5bad2017eed6e66ff6cb0c446297a9f52f565601ab4e15

Observation 485128c7-4478-46a8-8a93-11297bf534f8 · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Ego4d: Around the world in 3,000 hours of egocentric video,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a6eb6bb0-24b1-4863-b7ae-8834516acc27 · outbound

This paper cites Learning from active human involvement through proxy value propagation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Learning from active human involvement through proxy value propagation,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.157202Z digest=sha256:316ee96d2b2096b9c2b4b755af8ef42a27d1f97536d55595d6f677c271935a4f

Observation 8916c9c5-e303-4aee-bc0d-0a340fb53bb0 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 30

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source=pdf_text observed=2026-08-06T20:04:38.159890Z digest=sha256:d3dc2bf35b86de0d3d6932cb5cb7c408ceae1495b06c9916850b305201ad6a7a

Observation fe791054-2b46-42d0-8d72-fef0cfc5053e · outbound

This paper cites VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors

Reference 31

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source=pdf_text observed=2026-08-06T20:04:38.163010Z digest=sha256:cfa44064a817e4ac70943dcf4f49df394658cc47b0d3083a0090ba04f04a2551

Observation a84b3fb5-5032-41ff-bc9f-37a09ad371bc · outbound

This paper cites Manipllm: Embodied multimodal large language model for object-centric robotic manipulation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Manipllm: Embodied multimodal large language model for object-centric robotic manipulation,

Reference 32

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raw_fallback, observed 2026-08-06T20:04:38.820923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.166102Z digest=sha256:0a1b19591c6a6c7111a921ab44dab365f3e4209f37cfb1128f940ca4c9c763b6

Observation ae507e30-8465-4f12-829b-5fe72f41e77b · outbound

This paper cites Manipvqa: Injecting robotic affordance and physically grounded information into multi-modal large language models,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Manipvqa: Injecting robotic affordance and physically grounded information into multi-modal large language models,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.168706Z digest=sha256:f5f2676bd5ec15a0a29731d4029bae22c73966daee3c41fdf4187a729b401ff2

Observation 09e0e0a6-017d-4cc1-ae66-daf950206a4f · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 34

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source=pdf_text observed=2026-08-06T20:04:38.171370Z digest=sha256:1f4fb9beec10803184002b9b88dd32b10603baea053ec0a5a9636eda3bdaeb69

Observation 677516cd-73b1-4364-9fe9-c089ce42d628 · outbound

This paper cites CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation

Reference 35

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source=pdf_text observed=2026-08-06T20:04:38.174259Z digest=sha256:257e122d6508b1c7bf04b1079335a3f53330c154b8f5ef9ddba2f5f651a8e6fb

Observation c2167c10-2f80-499e-8cf4-74aec07d3936 · outbound

This paper cites HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model

Reference 36

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source=pdf_text observed=2026-08-06T20:04:38.177194Z digest=sha256:cb795345d01b3446b3f0a0d43f5ec927a4f7a1bf4bc037730917c71086e08553

Observation 7c09d0ab-fbfd-4154-a091-06a914d05221 · outbound

This paper cites Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning

Reference 37

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source=pdf_text observed=2026-08-06T20:04:38.180121Z digest=sha256:6383ef275376e72209624fb8c1a7552e40f06b1952b61a7e2b0d17ed4990a3aa

Observation b71c515d-5c0a-4159-bc99-e5c9c9fdbd22 · outbound

This paper cites Naturalvlm: Leveraging fine-grained natural language for affordance-guided visual manipula- tion,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Naturalvlm: Leveraging fine-grained natural language for affordance-guided visual manipula- tion,

Reference 38

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source=pdf_text observed=2026-08-06T20:04:38.182885Z digest=sha256:be5ba57887705c2823febc248af28caa8e974ecb2e7420b743a5f41eedcee8ef

Observation dbb6d299-169c-4016-a284-3201659f70f7 · outbound

This paper cites SpatialBot: Precise Spatial Understanding with Vision Language Models.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot SpatialBot: Precise Spatial Understanding with Vision Language Models

Reference 39

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source=pdf_text observed=2026-08-06T20:04:38.185326Z digest=sha256:a2d60c186a21db82f395407e205536537019340dab0a1f4dbf13bc156845dad6

Observation 039a391c-7e9a-4740-9597-00af5d9f18b6 · outbound

This paper cites Autonomous interactive correction mllm for robust robotic manipu- lation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Autonomous interactive correction mllm for robust robotic manipu- lation,

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.188023Z digest=sha256:ed9a13295ceffa980209737f69437edbcd4e216774112c3c733885a9e1ea0ea9

Observation 671f55f1-44b8-4ba2-9724-78d615641b1b · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 41

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source=pdf_text observed=2026-08-06T20:04:38.191109Z digest=sha256:b5bdf8166169777a3c5b04f78430bcf87fa7716ee9179870c49cc4e1ab6b8416

Observation aae5067f-c8a9-4376-8f0b-88f525c94c2a · outbound

This paper cites Telemanipulation with chopsticks: Analyzing human factors in user demonstrations,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Telemanipulation with chopsticks: Analyzing human factors in user demonstrations,

Reference 42

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.193834Z digest=sha256:fb3531419276d146aa12eebc45abea3e9c0330c181fea736b34bf10b284ab3cf

Observation 08e87047-2553-4372-8efa-367c6ebe8a79 · outbound

This paper cites Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control,

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.196324Z digest=sha256:7ddcd60ed05b9f53947047f45b1841d629db2af241559dfa8063d76ed9ad7ab4

Observation 2f085fdf-08f6-40e0-8182-a3b341e39f28 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot RT-1: Robotics Transformer for Real-World Control at Scale

Reference 44

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source=pdf_text observed=2026-08-06T20:04:38.199032Z digest=sha256:0222fb309ac35da285487b754416a1e0a0a355d05b5f89dc9299992f93f35ce3

Observation 9965f283-fe01-4bff-9dff-804f864f486d · outbound

This paper cites GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators

Reference 45

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source=pdf_text observed=2026-08-06T20:04:38.201955Z digest=sha256:8640c105bfc951d64e1d4328365ae2ff427989a53f75bee16aa06d65ca435ae4

Observation 40c46352-9aa4-4d12-8793-e66bbb5e7ba2 · outbound

This paper cites Efficient Data Collection for Robotic Manipulation via Compositional Generalization.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Efficient Data Collection for Robotic Manipulation via Compositional Generalization

Reference 46

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source=pdf_text observed=2026-08-06T20:04:38.204779Z digest=sha256:faa7209d72f0cb9f0a2817161cd8fb20227cbbed87a5dc8dbf81e608c3f4075f

Observation 0710a27b-dc14-4579-916b-f74de6048722 · outbound

This paper cites Learning Visuotactile Skills with Two Multifingered Hands.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Learning Visuotactile Skills with Two Multifingered Hands

Reference 47

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source=pdf_text observed=2026-08-06T20:04:38.207759Z digest=sha256:1cf43d11763be84c698741b0d9f7255b9a53b892bb25b22db4cdbb92a970cb3c

Observation 18f40416-9df5-44f3-ae45-1adf105cecb5 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 48

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source=pdf_text observed=2026-08-06T20:04:38.210857Z digest=sha256:1acaeaf1b961e8429736b483d6e34abfebe5d63b886195dd0850076f024bed8d

Observation 7d13c911-e5c3-46e7-b72f-8392349f5b70 · outbound

This paper cites Open-TeleVision: Teleoperation with Immersive Active Visual Feedback.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Open-TeleVision: Teleoperation with Immersive Active Visual Feedback

Reference 49

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source=pdf_text observed=2026-08-06T20:04:38.213742Z digest=sha256:5339481f962ee24b5f643988d000eb7ef2adec6b36165cecbd2d115a964eeb29

Observation ebde62ff-47f5-4592-9119-5675678849d8 · outbound

This paper cites Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Reference 50

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source=pdf_text observed=2026-08-06T20:04:38.216822Z digest=sha256:879dc2e174d9866f252bd29ed0d4d003a0b50509d3fc56471880c0cfa667e388

Observation 3353939d-daea-44c6-8158-be873a932c78 · outbound

This paper cites OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning

Reference 51

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source=pdf_text observed=2026-08-06T20:04:38.219637Z digest=sha256:be0a0380b4298d93dbc776d924104497c31d555479bde0c0ec92af3b869379a3

Observation 2bd920ab-e904-497f-a553-05d97bc87919 · outbound

This paper cites Puppeteer Your Robot: Augmented Reality Leader-Follower Teleoperation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Puppeteer Your Robot: Augmented Reality Leader-Follower Teleoperation

Reference 52

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source=pdf_text observed=2026-08-06T20:04:38.222548Z digest=sha256:653db7b26b7a58bdd1ec55be0af5cbf941cd1d5f8892aff4185ab5acae30c592

Observation 81ce1b6a-751d-4538-b320-241a84848fa5 · outbound

This paper cites A comparison of remote robot teleoperation interfaces for general object manipulation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot A comparison of remote robot teleoperation interfaces for general object manipulation,

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.225373Z digest=sha256:537e82d2b1f6e97ec16820d48fd9a7c3910adda7cce594535d4223cfe688c374

Observation a7d4f1c9-f13a-4b75-ab01-3787a4d1fd6a · outbound

This paper cites Strategies for human-in-the-loop robotic grasping,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Strategies for human-in-the-loop robotic grasping,

Reference 54

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.228274Z digest=sha256:8e4669e4940b927f97f421074d5e87ea16f34b25d202ce61017672beed75c471

Observation 97c0f87e-69e8-45d5-bb7c-c857b5bac495 · outbound

This paper cites Comparing human-centric and robot- centric sampling for robot deep learning from demonstrations,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Comparing human-centric and robot- centric sampling for robot deep learning from demonstrations,

Reference 55

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.231239Z digest=sha256:08b6bf089385681d85fba67b3e23bc1dff7e650072e7b84d198e4b1e957fcbd7

Observation ca769393-87b0-47cc-8c72-d9cf9819fc6b · outbound

This paper cites Online customization of teleopera- tion interfaces,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Online customization of teleopera- tion interfaces,

Reference 56

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.234544Z digest=sha256:28e16e1f3fa43e3d0989d0e5a01f44b0115b441cad1f817f42f8af75f1ff414e

Observation 4e367fd9-348b-47f7-ab69-326674c84cad · outbound

This paper cites Roboturk: A crowdsourcing platform for robotic skill learning through imitation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Roboturk: A crowdsourcing platform for robotic skill learning through imitation,

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.237380Z digest=sha256:79c1d8c1b1bae335771fdbccedd7d7c907d74ec8e56086e19596b0abd91def84

Observation 570fd6f6-4426-4a74-bce7-9051ff1a5916 · outbound

This paper cites Comparing robot grasping teleoperation across desktop and virtual reality with ros reality,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Comparing robot grasping teleoperation across desktop and virtual reality with ros reality,

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.241023Z digest=sha256:cb18e02687e7b23e21b73f783d9bbdf65337a8f7cfbc31ffbae89634ba788537

Observation cf95170d-faee-4621-a9a8-694de7f9a19e · outbound

This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,

Reference 59

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source=pdf_text observed=2026-08-06T20:04:38.243680Z digest=sha256:6d31776e654733bc63b761cabe10be28afe06b4d945b7defde37b1794c7e2d46

Observation c6f6f869-07cb-46b2-9399-9a05f23689b8 · outbound

This paper cites Baxter’s homunculus: Virtual reality spaces for teleoperation in manufacturing,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Baxter’s homunculus: Virtual reality spaces for teleoperation in manufacturing,

Reference 60

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.246390Z digest=sha256:4f1495d6a8c4153c7393c8ec8c1d9162830577ab01ba5709a319e3ec8f337be9

Observation 0bbda3f3-170d-408a-a628-ddffb04656c9 · outbound

This paper cites Perceiver: General perception with iterative attention,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Perceiver: General perception with iterative attention,

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.249290Z digest=sha256:53023b6f2c0ee0f388a5bf1faaf90c8614f6d2d2064e128169c1feb44b36bc88

Observation ad5f9cc3-f896-4435-b659-b4da11317449 · outbound

This paper cites GenAug: Retargeting behaviors to unseen situations via Generative Augmentation.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot GenAug: Retargeting behaviors to unseen situations via Generative Augmentation

Reference 62

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source=pdf_text observed=2026-08-06T20:04:38.252110Z digest=sha256:f391cc2b563019d03c90cd4a5e1d34ad4794d7f61c202bcebe765f19f411344a

Observation eec1cdd2-a854-4cb0-8a0b-7e5119b578db · outbound

This paper cites CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning

Reference 63

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source=pdf_text observed=2026-08-06T20:04:38.255102Z digest=sha256:fc1f3993157b9d8171c8d742c63ecc5b2e637c66e2414fbb0eb8c84dd8277e1f

Observation 9385d584-7c40-4e74-89a0-1dc1daee9ec0 · outbound

This paper cites Scaling Robot Learning with Semantically Imagined Experience.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Scaling Robot Learning with Semantically Imagined Experience

Reference 64

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source=pdf_text observed=2026-08-06T20:04:38.258473Z digest=sha256:b43fbee113ea6c350b9ea336a8b3c1e8d472d7d670af22a65a2d7395abcf0653

Observation e9a106d7-f371-44b2-bc68-f02aa74d9071 · outbound

This paper cites Exaug: Robot- conditioned navigation policies via geometric experience augmen- tation,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Exaug: Robot- conditioned navigation policies via geometric experience augmen- tation,

Reference 65

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.261612Z digest=sha256:14eb58dec4d4fdabc7a3ca9e4014f5a401d2f0720e8b8e7717f24f37722720eb

Observation 78bbdefe-7781-4cb8-b4a8-f61fefdaf2c4 · outbound

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

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Human-to-Robot Imitation in the Wild

Reference 66

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source=pdf_text observed=2026-08-06T20:04:38.264575Z digest=sha256:9fa79b9523a02e92028e0e514d3637f8e80832e104b3fda743213ff4bc244a75

Observation 679338c7-e3d6-44ee-9c3b-2e1ded7b8627 · outbound

This paper cites Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting

Reference 67

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source=pdf_text observed=2026-08-06T20:04:38.267821Z digest=sha256:5d150b0fb211744963a25f24f03508a6a8750286c3626cb634bd680647f62f57

Observation de806884-12dd-4dff-bf66-5de40e1b839b · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Instructpix2pix: Learning to follow image editing instructions,

Reference 68

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source=pdf_text observed=2026-08-06T20:04:38.270685Z digest=sha256:02c89b4f8618ac50d364100b40be501b384661e3045fcfca3b690775ea0c2d34

Observation 4e3a864b-0b9c-4f5d-9494-ec209c0773af · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot High-resolution image synthesis with latent diffusion models,

Reference 69

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source=pdf_text observed=2026-08-06T20:04:38.273273Z digest=sha256:93e1c525913f23f6a91857925fde227d3db9841471ec14214f637cf7b28a74cf

Observation 21af67ce-9123-4733-bcb8-ea415810c8dd · outbound

This paper cites Temporal cycle-consistency learning,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Temporal cycle-consistency learning,

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:38.648583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.276189Z digest=sha256:8f5963c351f0af5d55ae9716f3fea4d02af400c825dcec440cdc257896bb2267

Observation 4629f021-9daf-4a27-8d07-7ace5cda2998 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot SAM 2: Segment Anything in Images and Videos

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T20:04:38.278829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:38.278829Z digest=sha256:f83b05572dda6c951d7ca94f992cca12b372d1725b8c290c7d13ba6acfe19052

Observation 226ee0c3-bb86-48ff-b75c-d3f83572a73c · outbound

This paper cites Inpaint Anything: Segment Anything Meets Image Inpainting.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T20:04:38.281526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:38.281526Z digest=sha256:66f4cbb7bade82be52811fbd790ac67d60c9e31122cbf521233192967978fb09

Observation 531d40e8-1ec9-4f1b-aad6-f5c33bf864f0 · outbound

This paper cites Orb-slam: A versatile and accurate monocular slam system,.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Orb-slam: A versatile and accurate monocular slam system,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:04:38.638216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:04:38.284321Z digest=sha256:c69678bfa2617069c09f1ea0778c9be8bce4aa3e2f016922ec5051481cd3d4ea

Pith citing papers

Observation 45baeeb4-9c36-4308-9c63-7f8c4f2bd1a5 · inbound

Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic Manipulation cites this paper.

Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic Manipulation RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T15:52:10.948248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:52:10.948248Z digest=sha256:65a889729137a0a3da9a48b26712c3a4192ca7cb2040f61033dbccbaf81a4b00

Observation 88d2ea5e-f6e8-4f91-8763-ae6488ee9813 · inbound

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:02.277197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:4582764ddae0a7b4511c1c86714f59711f44ff87e3e50c1b6ed50fe05efce2a9