Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T04:10:14.360463Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 4 inbound Pith citation observations for arXiv:2607.11643.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T04:10:14.360463Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:52:22.573456Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:52:35.595553Z
73 of 73 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 25d1cb50-f7ab-4983-8cba-96e8942e7e39 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Cosmos 3: Omnimodal World Models for Physical AI
Reference 1
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Observation 9b703af7-e8db-496d-81b7-3c1d338916e4 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model EgoWalk: A Multimodal Dataset for Robot Navigation in the Wild
Reference 2
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Observation 33f43ff5-8da2-437b-929b-e721582f7d0b · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Qwen3-VL Technical Report
Reference 3
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Observation b20ba17a-0b01-4b5e-9aeb-4ab1fa507b95 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 4
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Observation 035d49b0-7836-48a4-b4aa-281da599d97d · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model RT-1: Robotics Transformer for Real-World Control at Scale
Reference 5
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Observation a699d510-3ca3-4e4f-925f-0606dca85e9f · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Instructpix2pix: Learning to follow image editing instructions
Reference 6
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Observation de833add-c929-4160-8baa-75a8d0e195a6 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Genie: Generative interactive environments
Reference 7
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Observation bf09b2d1-aff2-456b-8079-560c4bb064a1 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
Reference 8
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Observation e8f31ebe-1523-40c6-98f5-55c865a515be · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Sharegpt4v: Improving large multi-modal models with better captions
Reference 9
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Observation e8569a7e-2de9-40f1-8e41-eb3990da8d6b · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Video depth anything: Consistent depth estimation for super-long videos
Reference 10
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Observation fa3e6eab-0b56-4ed5-b686-33805ab2dbc8 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
Reference 11
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Observation 1b260aef-6c6c-41b0-8cda-a66f0feda4be · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Anydoor: Zero-shot object-level image customization
Reference 12
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Observation ab5b3001-45ac-4c9f-8fa3-3dff5dd44c25 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 13
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Observation a1255016-3c8f-4d98-8479-9c32b3e2996b · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Abot-physworld: Interactive world foundation model for robotic manipulation with physics alignment.arXiv preprint arXiv:2603.23376, 2026
Reference 14
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Observation d9c04fb4-e626-4a0b-a72e-39345b1d9364 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 15
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Observation 92e9c856-d691-4660-876c-8410059df1e1 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Emu3.5: Native Multimodal Models are World Learners
Reference 16
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Observation e2a933b3-dd95-4a6c-ac2f-318e67acd313 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Emerging Properties in Unified Multimodal Pretraining
Reference 17
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Observation 8a226344-61f7-4e3b-9ad6-d64b8b3c88ee · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Datacomp: In search of the next generation of multimodal datasets
Reference 18
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Observation 72c5905b-c8f3-4319-a756-6235e976ab95 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model CAT3D: Create Anything in 3D with Multi-View Diffusion Models
Reference 19
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Observation 07d9e81a-d54f-453f-bd47-2ad3655233a8 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Geneval: An object-focused framework for evaluating text-to-image alignment.Advancesin Neural Information Processing Systems, 36:52132–52152, 2023
Reference 20
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Observation 03af37ba-a092-426b-bb2c-cd10da259f62 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Ego4d: Around the world in 3,000 hours of egocentric video
Reference 21
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Observation e35addfd-360a-4cb4-a76d-6175336c4be9 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Dream to Control: Learning Behaviors by Latent Imagination
Reference 22
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Observation 9a52e92e-9286-49e8-b6c7-c703c6720758 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Reference 23
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Observation 135de540-e5f2-41bd-972a-80662266ca6a · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Galaxea Open-World Dataset and G0 Dual-System VLA Model
Reference 24
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Observation 1f7e5050-230a-4779-ba7c-43cc16e35df0 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Reference 25
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Observation a1371734-58d9-42c9-a963-cd1a3d975dc7 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Gonzalez, Hao Zhang, and Ion Stoica
Reference 26
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Observation a121a23a-f707-4b60-b126-f9471ddd1c98 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
Reference 27
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Observation 4db0f5d5-6247-4c03-9472-e509b68c1613 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Causal World Modeling for Robot Control
Reference 28
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Observation 85502411-ea37-4d6a-b369-0909e560d945 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Era3d: High-resolution multiview diffusion using efficient row-wise attention.Advancesin Neural Information Processing Systems, 37:55975–56000, 2024
Reference 29
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Observation 955247b7-9473-4892-89f3-23a6332fb479 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model A Comprehensive Survey on World Models for Embodied AI
Reference 30
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Observation d0fb85fc-7708-41b0-8ff5-271b3c8d9748 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision
Reference 31
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Observation 0be5d850-83a7-4e87-be62-76e42ccfc3cb · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Aligning cyber space with physical world: A comprehensive survey on embodied ai.IEEE/ASME Transactions on Mechatronics, 2025
Reference 32
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Observation 69fcc8ba-6883-4af7-9daa-ee0c12e034f1 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Syncdreamer: Generating multiview-consistent images from a single-view image
Reference 33
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Observation 470bcd0c-8e53-4363-a6a0-954733f9581a · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Scaling world model for hierarchical manipulation policies.arXiv preprintarXiv:2602.10983, 2026
Reference 34
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Observation 383f7fdc-d685-4999-987d-e240a7e1c98e · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Wonder3d: Single image to 3d using cross-domain diffusion
Reference 35
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Observation ca8f010c-7c01-4108-b8b2-330e2babfa19 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
Reference 36
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Observation 2cfd7eff-2834-4579-ad67-7f2152fb55b2 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Unresolved cited work
Reference 37
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Observation 4409df06-45ec-416e-ae33-22c6eb28bc74 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Coyo-700m: Image-text pair dataset.https://github.com/kakaobrain/coyo-dataset, 2022
Reference 38
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Observation 453f219d-6670-4ee8-80d6-efd07f387f73 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Reference 39
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Observation cab8e87d-1bf4-4396-aa2f-186231b0206a · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Reference 40
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Observation 3ac46b97-7aae-419f-a1b4-56b2d380b00f · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Video generation models as world simulators
Reference 41
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Observation 2696929c-32f6-45d8-9165-8041f31334b9 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Gpt image api
Reference 42
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Observation 3a1f785d-0ca8-4620-a1e5-47ce6260c783 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0
Reference 43
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Observation 32d835ba-d171-4bc2-8c5d-eaac82f9f34e · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Genie 2: A large-scale foundation world model
Reference 44
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Observation 9ba66005-3015-43db-96c3-45bffceb3259 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Sdxl: Improving latent diffusion models for high-resolution image synthesis
Reference 45
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Observation 48887efc-c940-4fd8-b9d2-1e9935f3ec04 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Movie Gen: A Cast of Media Foundation Models
Reference 46
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Observation a164c70f-4fc0-4b92-8fb8-b1f11254c5f3 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
Reference 47
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Observation 8b82af18-daa0-4297-99a7-f29fe7b1e0a4 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022
Reference 48
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Observation a3e54ae5-c7fb-4dd3-b500-3b0f118587a4 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models
Reference 49
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Observation 7b4eba0e-70fb-4e7a-83cc-82cd5264520a · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Roboscape: Physics-informed embodied world model.Advancesin Neural Information Processing Systems, 38:63674–63698, 2026
Reference 50
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Observation a914582d-f57a-4673-a7bd-fecb3df3bb63 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Scalable image tokenization with index backpropagation quantization
Reference 51
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Observation a388b8ac-8e5f-49dd-a918-47c58ae4a629 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
Reference 52
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Observation eb11014d-7839-4daf-b455-225cfb1a84d8 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Mvdream: Multi-view diffusion for 3d generation
Reference 53
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Observation 91d17572-b55c-49c0-ac59-0f10e985d8ad · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Mvdiffusion++: A dense high-resolution multi-view diffusion model for single or sparse-view 3d object reconstruction
Reference 54
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Observation ac68dd1a-6763-4cf3-a574-cd56f91116a1 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Chameleon: Mixed-Modal Early-Fusion Foundation Models
Reference 55
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Observation 395e0ef3-5d90-4275-976c-8414b6cdcfb2 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Motubrain: An Advanced World Action Model for Robot Control
Reference 56
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Observation 3a860f55-7b1f-4cbd-a54e-27ebc8ac87ca · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Interndata-a1: Pioneering high-fidelity synthetic data for pre-training generalist policy
Reference 57
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Observation af4f344a-2ecc-4ca0-a6f4-90da90682ece · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Bridgedata v2: A dataset for robot learning at scale
Reference 58
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Observation 0e83024b-49ed-4857-9cee-7161f90833f0 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Wan: Open and Advanced Large-Scale Video Generative Models
Reference 59
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Observation 12ab3c7f-c963-4256-bc8d-8683f3172a30 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Janus: Decoupling visual encoding for unified multimodal understanding and generation
Reference 60
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Observation 3d9ecfba-994c-42ed-b49c-70e0514c56b2 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
Reference 61
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Observation 35487c09-54a4-41cb-a016-4cf73400acc3 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation
Reference 62
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Observation 7b472a61-80de-4110-89e4-5be009d9d89d · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Omnigen: Unified image generation
Reference 63
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Observation 17623436-a460-42a2-a002-4207ed47420a · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Show-o: One single transformer to unify multimodal understanding and generation
Reference 64
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Observation 91523548-53cd-4fba-bce7-be45c7218d8e · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Gigaworld-policy: An efficient action-centered world–action model.arXiv preprint arXiv:2603.17240, 2026
Reference 65
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Observation 1cd938d0-8b01-4fec-b5fb-ddf04e83ae3b · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model World Action Models are Zero-shot Policies
Reference 66
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Observation 095b6f19-669c-40ab-9002-e10522d2af12 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Imgedit: A unified image editing dataset and benchmark.Advancesin Neural Information Processing Systems, 38, 2026
Reference 67
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Observation d30b35a0-19d2-46ba-91e1-3a2da8750ce7 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Scannet++: A high-fidelity dataset of 3d indoor scenes
Reference 68
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Observation 5baae18b-f968-442e-8278-df941a27b82e · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot
Reference 69
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Observation aa6b7954-e39c-4c9a-87cd-5413fa3c06c8 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Fast-WAM: Do World Action Models Need Test-time Future Imagination?
Reference 70
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Observation 4955f32b-32ad-40b6-b654-5cf3c472f128 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Scaling behavior cloning improves causal reasoning: An open model for real-time video game playing.arXiv preprint arXiv:2601.04575, 2026
Reference 71
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Observation 63bed55b-4d07-4791-969a-7ee1d39e4990 · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
Reference 72
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Observation 0414151a-9e34-412c-a634-0586e1233a1f · outbound
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation
Reference 73
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Observation b602de26-131f-44c4-a021-1052c3b0a0c6 · inbound
$N_0$-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
Reference 41
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Observation c6fc42ca-b008-4b79-94ff-0eedc6c123fd · inbound
Data Pyramid for Embodied Manipulation: A Survey Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
Reference 219
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Observation 8027843d-d15f-41df-839d-1b1adf596ff4 · inbound
PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
Reference 69
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Observation 89e2e64e-d393-45c9-a456-dde4bda4fe6c · inbound
PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
Reference 69
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