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Paper Citation Record · LEDGER

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation

As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.06558.

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

pith.paper-citation-record.v1
2607.06558 v2

Coverage vector

measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T16:00:12.029377Z

measured 28 of 28 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

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28 of 28 outbound references displayed

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Outbound references

Observation 053ba62d-ee32-4687-a1f1-fdf9cbe4275e · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Cosmos World Foundation Model Platform for Physical AI

Reference 1

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source=pdf_text observed=2026-07-14T16:00:12.029377Z digest=sha256:92ac583bfca117adf617f6dfce61ed4c4e0de03e2979cac76ba1a7b903d7e565

Observation 4adbea7a-87ca-4f24-88db-2f9708cd9bd4 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation World Simulation with Video Foundation Models for Physical AI

Reference 2

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source=pdf_text observed=2026-07-14T16:00:12.029377Z digest=sha256:a432c181adc813799610c1529ee9f3ef7d0aedfd5e120bc42f065e221aedb7b4

Observation 8aa45704-a5d1-431c-8922-6b5b68f0f6d3 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 3

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Observation ad819841-ef1a-466d-8be8-ca58cd922a62 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

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Observation cde56e8c-116c-47f8-83f2-a4f1dedc0e75 · outbound

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

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 5

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Observation d589563d-cdd3-4603-a2c3-94be59fc6e70 · outbound

This paper cites Lome: Learning human-object manipulation with action-conditioned egocentric world model.arXiv preprint arXiv:2603.27449,.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Lome: Learning human-object manipulation with action-conditioned egocentric world model.arXiv preprint arXiv:2603.27449,

Reference 6

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Observation 93dcc281-fa5f-4ca7-bbd3-da068ac687cc · outbound

This paper cites World models can leverage human videos for dexterous manipulation.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation World models can leverage human videos for dexterous manipulation

Reference 7

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Observation 253afc3b-dd08-49e0-a4ba-f5331e113fd7 · outbound

This paper cites Articulat3D: Reconstructing Articulated Digital Twins From Monocular Videos with Geometric and Motion Constraints.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Articulat3D: Reconstructing Articulated Digital Twins From Monocular Videos with Geometric and Motion Constraints

Reference 8

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Observation b46a4bfb-85c4-4f4c-83fc-475a53909500 · outbound

This paper cites World Models.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation World Models

Reference 9

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Observation 9fb6b553-b25d-418a-ac95-9bb7ce5247e6 · outbound

This paper cites EgoSim: Egocentric World Simulator for Embodied Interaction Generation.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation EgoSim: Egocentric World Simulator for Embodied Interaction Generation

Reference 10

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Observation 2119797b-6cc3-4330-8beb-13c1c96716a8 · outbound

This paper cites EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 11

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Observation 0cb9fb28-c565-4bf7-a9d0-3edb61117ac4 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 12

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Observation 14642aeb-958f-43fd-92e2-cdd707d0d540 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 13

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source=pdf_text observed=2026-07-14T16:00:12.029377Z digest=sha256:c8b75f72a40c37467716659add07526d6da55fbf25e26e010df99dd6c6fcf791

Observation 5ed8c0bb-b795-4052-8ea5-6608473382d7 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954,.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954,

Reference 14

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Observation 5bc81340-dc37-4102-8bc0-b26db949aef8 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 15

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Observation eb16110b-7d78-427c-8b25-ed0f66a3b659 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 16

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Observation acd2032f-1747-450d-b3df-4351ab9e95c9 · outbound

This paper cites Masquerade: Learning from In-the-wild Human Videos using Data-Editing.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Masquerade: Learning from In-the-wild Human Videos using Data-Editing

Reference 17

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Observation a8d5cb5d-5219-4c24-9d3d-7944eb7b17e4 · outbound

This paper cites Egocontrol: Controllable egocentric video generation via 3d full-body poses.arXiv preprint arXiv:2511.18173,.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Egocontrol: Controllable egocentric video generation via 3d full-body poses.arXiv preprint arXiv:2511.18173,

Reference 18

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Observation bbcb3589-5263-42b3-8278-29e7d28401b1 · outbound

This paper cites Sam 2: Segment anything in images and videos.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Sam 2: Segment anything in images and videos

Reference 19

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Observation 23517047-6ef8-4d64-b1d3-f604f2ac5c2d · outbound

This paper cites Mitty: Diffusion-based human-to-robot video generation.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Mitty: Diffusion-based human-to-robot video generation

Reference 20

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Observation e8f70862-8913-42de-9a61-e64b9efe76bb · outbound

This paper cites Playerone: Egocentric world simulator.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Playerone: Egocentric world simulator

Reference 21

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Observation f74a65e2-5779-49e9-96bf-0570a455d491 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 22

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Observation 864c364a-f638-4966-bb37-baa7ae2f4ee2 · outbound

This paper cites Generated reality: Human-centric world simulation using interactive video generation with hand and camera control.arXiv preprint arXiv:2602.18422,.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation Generated reality: Human-centric world simulation using interactive video generation with hand and camera control.arXiv preprint arXiv:2602.18422,

Reference 23

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Observation d29ed85c-b51b-485f-b983-b95a0d59ac34 · outbound

This paper cites X-humanoid: Robotize human videos to generate humanoid videos at scale.arXiv preprint arXiv:2512.04537,.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation X-humanoid: Robotize human videos to generate humanoid videos at scale.arXiv preprint arXiv:2512.04537,

Reference 24

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Observation 363633e3-4301-47dc-8170-86a64b935e6b · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 25

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Observation 08dd2b80-9d09-4751-821e-7769725df999 · outbound

This paper cites TWIST: Teleoperated Whole-Body Imitation System.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation TWIST: Teleoperated Whole-Body Imitation System

Reference 26

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Observation cc7ab96b-b693-4ba4-afc3-f23bbafed6cd · outbound

This paper cites HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction

Reference 27

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Observation 1fe157c1-4741-458e-9bc5-f59cc6f67325 · outbound

This paper cites SMAP: Self-supervised Motion Adaptation for Physically Plausible Humanoid Whole-body Control.

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation SMAP: Self-supervised Motion Adaptation for Physically Plausible Humanoid Whole-body Control

Reference 28

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