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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation 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 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:14:24.932972Z

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
  • parse uncertain0
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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.121728Z digest=sha256:f8fc1482d75da33f6bb980aa8ec3224b10b81bbb21682eb5c4983487bcb9a05b

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.135840Z digest=sha256:701702903509c6ddd7db89000d1cca11e08e7182e28ef2974dff955dfcf49b13

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=sha256:18b5d891116c7232f3054769cba0993c347ca76b447f5f4d2c51370a4d8827f1

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:a0c58222b492b2c84641b256aef3a9ef0c8ba0c06433c40419a286d77dd006cd

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:a00e416c7d3df66e8614e63b1e45c96229e49d67aa6524878062822f4582380f

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=sha256:726a402939f7182fbf7b6cea4c113b9a75871e5ded93eec01f7a9321746ac391

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.149245Z digest=sha256:ea6ca93a3f1324d882b7640ef3842a235e29d37ced3f128d9da54c2b3a58d1e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.152232Z digest=sha256:38773a28678df74c7740b1af4b692321c99a084fd6ee5e8501a441d4868dfcee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.154558Z digest=sha256:4101bbbe1c53fa847183ae26e4e23aacf90d538128d9ea41c3c1b3b5fb558afd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.157202Z digest=sha256:4154ed0d7a6648fa2373b845221ec2e51f696c2e5ee5e2aa003c60f6dd64f098

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:a75815c07846d52c25b03a9c8681092559122759047a3d2e5595bd8dd008f5e7

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=sha256:7e2e8de2f3329b9b3fcc936df45e724b4f1db7729b5d39297833b05dc9ccf7d4

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.166102Z digest=sha256:209d765ffad6c06f78df1cb8c97b3f9827751e006804c9a4b871da3388fb5d04

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.168706Z digest=sha256:a69493b238d952fbb12785a5698a79face9b7d97517e46c4aa71278f2d7407bf

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=sha256:3206b2bcc826d9dc11428e9405793f4d43b81e8eaf5dbf76ad318e00552b8435

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:c88595c498b903d66c32b7318b64236abac9a81b0886532bb360e1b85237439a

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=sha256:46b13f9aa6f4831db2c1d8883601a930094f47598f3b69655709d7441fae6825

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=sha256:1afa995a3dd0c48c989f1218a3049eedb8f7d2fdc3c7df64a6acc142e4f6a446

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=sha256:4e9a4702df8622808fb5a72e19c52fab674d0a2c8bbd18e20e4901ad0f63c8e3

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:c4fb6218a6bbd6a11ad9edff65516ee947436ebb2db13b0611a281f7ae045184

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.188023Z digest=sha256:6a3b6e87f5d1436ff0b4b7093935a71ba1e51f3daf8795032403b7586f3923bf

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:d428854e501c5bf4f9c07775851fdd0bb1b4c01f8e711396cab2ed44b3721333

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.193834Z digest=sha256:f4c4512abd1662ddad4e09923215d93ae9f7002f4b93e944682573a9b1c96fbe

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.196324Z digest=sha256:c71080ab879c7183fa4aaa5e2184bb0cc9b072f38cda1b46865ca4b79d07483c

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:fc6ccbb4df144b194a8d6bdc15bf1d2973289e5414a44a08d300954c5e416f80

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:f4fffe821ba3c1fc2620a20d1dbb1436d52ec31783fc005a4429064dbe0a2408

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:d15bfc1a92e6dcf4e98216ed1cfb7712adfe457917096da469effb173cc35d71

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=sha256:9e1d538805921673227d773c6bed5b06dc82cd88f66c8f217b63d781c1c922de

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=sha256:3f3b3443c7086d6ddc0c5f51927af7095d8705236cb808f6bdabb77f75678710

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=sha256:071a9fd4fdd8e9a026e8a78ef0a8fd9d542aefead674f6be7316002fd6ff9a33

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:bfdeff9119e07da24390d8c70aec25e5adf15e7995ca3568b729f73a3b33ac09

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=sha256:4286413b87ae2bb012af4cd0e242bc5dad9f7a1569e1fd5252286759d85cc72d

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=sha256:4334053789bc2d2fcb78d5bfe6dc7b258085ddbc50bb0cf528d40c76bf7eea3c

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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raw_fallback, observed 2026-08-06T20:04:38.761671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.225373Z digest=sha256:d82e27c6dde1cb405346f4c88b3011428fc6db764ee819269779efb518b5fa19

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.228274Z digest=sha256:12f6544863958efeb1b77787db94d5014bbdb81eb9978a8b116c93845d6f89d5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.231239Z digest=sha256:c3d1bc63500e56eb558558e2e88b425953a59605afaed66c9cde78bda0780d3a

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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raw_fallback, observed 2026-08-06T20:04:38.728971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.234544Z digest=sha256:7c6f3994ba4c403a0ba75ef76a93e8b26ddd56f13a81611661ed6b264eea828e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.237380Z digest=sha256:5c5692c06b2a384ba776ae897e8fd3d9b55f4b572bb2686c815069c443ad3981

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.241023Z digest=sha256:507d846a09c044aad3e60408affcfebfc3bcf322df25b37b08f13498488d651a

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=sha256:1e85ef0970131b246258af191a941a1d341a813e9534e0adb2cea37d169b7d57

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.246390Z digest=sha256:5da5d9ee536ade11529986eb5041487cbb91fcf45bb7e081aa24f32a8beebcec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.249290Z digest=sha256:3a13d3792c9e838891f988034baf116e0f23ebbd8808703cd598d88f82725456

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:c9ba721b91919795f5e1677ec933a17bdb3288fb0c342c6b3aec164cb556c1e2

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:dd36accc21497eaedaddab2afc5085bcf8db8298d1bd8b2a203596420fdbff4a

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:cd5c6f9cd533cd6756bb4e90c3cbb730b5b83aa76c83f16b8d53fb34ca6e18ca

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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raw_fallback, observed 2026-08-06T20:04:38.670945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.261612Z digest=sha256:881eee56ddd9068c42558d6efc4e3a887627104145240a8495ffa64ce00d8d37

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=sha256:16856b20ef2b87572187819f258e09b17265fbe38721b02b22486fb3d950c092

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:e6823194fb2719476470a58ace0f47572060212efb97f5efd065ba632f4d22aa

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=sha256:45664eb611b2ca204e0e4d5283f90271fe6fed5cc58da65fb1b3bddd841748ac

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:38.273273Z digest=sha256:82bd36a5770790ad71287ef28333c8145a0792e679155baf932a2c72f846481e

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.276189Z digest=sha256:4987081fbc86b29a84334f12d37adc64351e2ad81337337f4db5301cb7214744

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=sha256:692695e5ac2b2a10788da8c6a7031032c97657a3c54a6fdfefd854c3c32010c3

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:e535e49315003fcf35ae5ef010c7f5736275ec766966720e20a8d390495fcb66

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:04:38.284321Z digest=sha256:9de18a5ac7c155a4c4c716550a7fb95114df4f37d2ac185eb30e1de56e1ad5e3

Pith citing papers

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:fadfe56626e67e753291728e05b043efff4e6246444b30579cc1b5e21166bcbf