Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:49:09.834338Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2607.19343.
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 2026-08-01T12:49:09.834338Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
94 of 94 outbound references displayed
External citation measurements
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Observation e144fd38-614d-4d79-abd4-e49972c8b038 · outbound
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Reference 1
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Observation e153cc02-ae9a-4090-93c7-4e9c44efb71b · outbound
Masked Visual Actions for Unified World Modeling Unifying (Machine) Vision via Counterfactual World Modeling
Reference 2
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Observation d43bb27a-7e9e-4a6c-8454-03d2bb8fd1d9 · outbound
Masked Visual Actions for Unified World Modeling Track2act: Predicting point tracks from internet videos enables generalizable robot manipulation, 2024
Reference 3
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Observation c396244a-b33e-42f5-bf6f-64d27e5ee62d · outbound
Masked Visual Actions for Unified World Modeling Video generation models as world simulators
Reference 4
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Observation 92e1cc1d-2170-4645-a044-ddedd9816a4f · outbound
Masked Visual Actions for Unified World Modeling Go-with-the-flow: Motion-controllable video diffusion models using real-time warped noise
Reference 5
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Observation a06037db-a4bd-4f57-ba84-c9faefb0c543 · outbound
Masked Visual Actions for Unified World Modeling SAM 3: Segment anything with concepts
Reference 6
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Observation 7fe0aad0-dfcd-4a31-b296-27d8a4bf916c · outbound
Masked Visual Actions for Unified World Modeling Freeman, Jitendra Malik, Russ Tedrake, Vincent Sitzmann, and Yilun Du
Reference 7
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Observation 26bcfb5d-e03a-4987-8e76-c0ed0e00c3e9 · outbound
Masked Visual Actions for Unified World Modeling Learning coordinated bimanual manipulation policies using state diffusion and inverse dynamics models
Reference 8
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Observation 43dbe581-b2c1-463d-9d58-6c9a81cf636a · outbound
Masked Visual Actions for Unified World Modeling Tool-as-interface: Learning robot policies from observing human tool use
Reference 9
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Observation bf9c6eef-c02e-458a-9ffa-3599ee0fdc41 · outbound
Masked Visual Actions for Unified World Modeling Bridgev2w: Bridging video generation models to embodied world models via embodiment masks.arXiv preprint arXiv:2602.03793, 2026
Reference 10
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Observation 1702a4b4-9cc9-495d-96b9-1e3d7d5bd874 · outbound
Masked Visual Actions for Unified World Modeling Diffusion policy: Visuomotor policy learning via action diffusion
Reference 11
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Observation ffcbb56b-0b93-4263-b34a-091724c31d4d · outbound
Masked Visual Actions for Unified World Modeling Diffusion policy: Visuomotor policy learning via action diffusion
Reference 12
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Observation 918e5046-42ee-4c96-8962-40cdc95f6386 · outbound
Masked Visual Actions for Unified World Modeling Wan-move: Motion-controllable video generation via latent trajectory guidance.arXiv preprint arXiv:2512.08765, 2025
Reference 13
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Observation 5561a96c-a2c6-4294-87fa-ef81884764bc · outbound
Masked Visual Actions for Unified World Modeling Embodis- wap for zero-shot robot imitation learning, 2025
Reference 14
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Observation 5747730c-af1d-45c0-8fff-4325a4508157 · outbound
Masked Visual Actions for Unified World Modeling BERT: Pre-training of deep bidirectional transformers for language understanding
Reference 15
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Observation 8a7ed1bd-fb04-45ef-9469-912c526c3b19 · outbound
Masked Visual Actions for Unified World Modeling Learning universal policies via text-guided video generation.Advances in neural information processing systems, 36:9156–9172, 2023
Reference 16
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Observation 49ffcd05-92a8-48b5-9401-c21ca9b33844 · outbound
Masked Visual Actions for Unified World Modeling Video language planning
Reference 17
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Observation f3f80707-501b-4a75-81ad-66c7d1ae9ecc · outbound
Masked Visual Actions for Unified World Modeling Aim: Intent-aware unified world action modeling with spatial value maps, 2026
Reference 18
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Observation 218a1261-205c-49d1-b6d7-4c2ac1f53fab · outbound
Masked Visual Actions for Unified World Modeling DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
Reference 19
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Observation 9c26af47-6a88-4cbd-a16c-2d2cdd90d647 · outbound
Masked Visual Actions for Unified World Modeling Motion prompting: Controlling video generation with motion trajectories
Reference 20
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Observation 36716550-3d81-459c-b6ac-995455b6fc26 · outbound
Masked Visual Actions for Unified World Modeling Force prompting: Video generation models can learn and generalize physics-based control signals
Reference 21
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Observation f7e4cc6c-b7b1-4171-a1c9-16586381e5f6 · outbound
Masked Visual Actions for Unified World Modeling Goal force: Teaching video models to accomplish physics-conditioned goals
Reference 22
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Observation 9cfc4af1-0d8f-4a72-934d-6001de896cfb · outbound
Masked Visual Actions for Unified World Modeling World models for learning dexterous hand-object interactions from human videos.arXiv preprint arXiv:2512.13644, 2026
Reference 23
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Observation c74a524d-0ea2-4d14-b1f0-f7a703a5db5b · outbound
Masked Visual Actions for Unified World Modeling Unified 4d world action modeling from video priors with asynchronous denoising, 2026
Reference 24
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Observation befed282-d539-46a9-8cfe-ff39cbb91804 · outbound
Masked Visual Actions for Unified World Modeling Ctrl-world: A controllable generative world model for robot manipulation
Reference 25
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Observation d01eb595-33ff-422c-98e1-b41d4659e08c · outbound
Masked Visual Actions for Unified World Modeling Video prediction policy: A generalist robot policy with predictive visual representations, 2024
Reference 26
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Observation 7a64bf78-7d54-4a87-920f-a83b8a4d6bb0 · outbound
Masked Visual Actions for Unified World Modeling Vid2world: Crafting video diffusion models to interactive world models, 2025
Reference 27
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Observation 26522a78-c911-4297-b9e6-0d427f2dde09 · outbound
Masked Visual Actions for Unified World Modeling Pointworld: Scaling 3d world models for in-the-wild robotic manipulation
Reference 28
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Observation b4d59e25-62ab-47a1-82c2-9c5f5436eb9c · outbound
Masked Visual Actions for Unified World Modeling Dreamgen: Unlocking generalization in robot learning through video world models, 2025
Reference 29
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Observation 3929f513-5414-4dd7-a112-24134706778f · outbound
Masked Visual Actions for Unified World Modeling Cotracker3: Simpler and better point tracking by pseudo-labelling real videos, 2024
Reference 30
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Observation 9b1a1e0b-06b9-41dc-81a7-b2570c4306ce · outbound
Masked Visual Actions for Unified World Modeling Unresolved cited work
Reference 31
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Observation 2f03d7b5-a577-4f6b-a1df-fc7892c172f2 · outbound
Masked Visual Actions for Unified World Modeling Dexterous world models
Reference 32
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Observation 25ed980f-2583-4209-a8ce-bfa49fa23bc8 · outbound
Masked Visual Actions for Unified World Modeling Cosmos policy: Fine-tuning video models for visuomotor control and planning, 2026
Reference 33
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Observation d97b8c95-b61e-4c8d-854f-b13625b305e5 · outbound
Masked Visual Actions for Unified World Modeling Learning to Act from Actionless Videos through Dense Correspondences
Reference 34
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Observation 9fe16f9f-8f3c-4a56-86a0-ac38483916fd · outbound
Masked Visual Actions for Unified World Modeling World Modeling with Probabilistic Structure Integration
Reference 35
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Observation 52ae5854-5dda-4b1d-8ecd-77042020424b · outbound
Masked Visual Actions for Unified World Modeling Shadow: Leveraging segmentation masks for cross-embodiment policy transfer, 2025
Reference 36
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Observation a9afdf0e-3d47-4ea8-ac4a-73c7f631f9d4 · outbound
Masked Visual Actions for Unified World Modeling Masquerade: Learning from in-the-wild human videos using data-editing, 2025
Reference 37
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Observation a8ce6fbf-8a79-44b1-839b-0219aec38154 · outbound
Masked Visual Actions for Unified World Modeling Phantom: Training robots without robots using only human videos, 2025
Reference 38
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Observation 14ccab1a-39b2-44ea-961e-92fbae02a8c0 · outbound
Masked Visual Actions for Unified World Modeling BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
Reference 39
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Observation 64a8cd3a-318b-48f5-a5bd-864f78f11963 · outbound
Masked Visual Actions for Unified World Modeling Mask2iv: Interaction-centric video generation via mask trajectories, 2025
Reference 40
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Observation 00decb5e-3f9b-4070-bd75-a0d881ff15b5 · outbound
Masked Visual Actions for Unified World Modeling Novaflow: Zero-shot manipulation via actionable flow from generated videos, 2025
Reference 41
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Observation 2cd019cd-cb77-4e3b-8b63-0d3b591854f2 · outbound
Masked Visual Actions for Unified World Modeling Unified video action model, 2025
Reference 42
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Observation e3a97ca1-f025-4352-8f6b-92a27f8b75c0 · outbound
Masked Visual Actions for Unified World Modeling Genie envisioner: A unified world foundation platform for robotic manipulation, 2025
Reference 43
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Observation 7074bee0-8bfb-406c-bb61-2d156196acaf · outbound
Masked Visual Actions for Unified World Modeling Realwonder: Real-time physical action-conditioned video generation, 2026
Reference 44
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Observation aeda653a-28e4-49e1-8fb2-551c6dd612fb · outbound
Masked Visual Actions for Unified World Modeling Zero-shot world models are developmentally efficient learners.arXiv e-prints, pages arXiv–2604, 2026
Reference 45
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Observation 0a3626b9-18bd-4032-8342-7b75e430cd94 · outbound
Masked Visual Actions for Unified World Modeling Decoupled Weight Decay Regularization
Reference 46
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Observation 53ca9292-a352-415c-867c-1d1d2f99feca · outbound
Masked Visual Actions for Unified World Modeling Mask world model: Predicting what matters for robust robot policy learning, 2026
Reference 47
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Observation 8d819bb7-73ec-48cb-a4fb-3a1113f2eabc · outbound
Masked Visual Actions for Unified World Modeling Inference-time scaling for diffusion models beyond scaling denoising steps
Reference 48
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Observation 1797b1cc-201e-402b-903f-e5c8efb61ce4 · outbound
Masked Visual Actions for Unified World Modeling MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Reference 49
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Observation ba782044-7c09-43b3-ac79-7443413b524d · outbound
Masked Visual Actions for Unified World Modeling Motubrain: An advanced world action model for robot control, 2026
Reference 50
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Observation 9418a5d4-53e5-41d5-a965-49c5dfd9f8fc · outbound
Masked Visual Actions for Unified World Modeling s1: Simple test-time scaling
Reference 51
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Observation b115d4ba-4cf2-4981-a1d7-77bdd298e8ce · outbound
Masked Visual Actions for Unified World Modeling Robocasa365: A large-scale simulation framework for training and benchmarking generalist robots
Reference 52
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Observation 66f9331b-073c-4c7f-b8e1-b45d435d366e · outbound
Masked Visual Actions for Unified World Modeling Cosmos world foundation model platform for physical ai, 2025
Reference 53
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Observation 21d004a3-c5b7-49c1-8d44-8eee52cd6107 · outbound
Masked Visual Actions for Unified World Modeling mimic-video: Video-action models for generalizable robot control beyond vlas, 2025
Reference 54
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Observation dd72077b-bc3b-4629-93d2-a02b9ada1f64 · outbound
Masked Visual Actions for Unified World Modeling Inference-time enhancement of generative robot policies via predictive world modeling.IEEE Robotics and Automation Letters, 2026
Reference 55
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Observation 71b4d916-03dc-4871-b8a2-c00044d164e1 · outbound
Masked Visual Actions for Unified World Modeling MotionStream: Real-Time Video Generation with Interactive Motion Controls
Reference 56
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Observation 1ec0c14c-6f66-4171-a489-5ad8b747535b · outbound
Masked Visual Actions for Unified World Modeling SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Reference 57
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Observation 11d1fc99-ed4d-4540-8640-45f8b08d9725 · outbound
Masked Visual Actions for Unified World Modeling Time-to-move: Training-free motion-controlled video generation via dual-clock denoising
Reference 58
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Observation 7af91829-ba8c-458f-a05f-24b492076649 · outbound
Masked Visual Actions for Unified World Modeling Motion before action: Diffusing object motion as manipulation condition, 2024
Reference 59
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Observation 5fcd5563-ee5d-4d2f-8558-01d98ef167a4 · outbound
Masked Visual Actions for Unified World Modeling Evaluating gemini robotics policies in a veo world simulator, 2025
Reference 60
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Observation 3bd46ac0-233f-4c9d-b740-f7251e10d84d · outbound
Masked Visual Actions for Unified World Modeling Causal video models are data-efficient robot policy learners.Rhoda AI Blog, 2026
Reference 61
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Observation eec87124-0133-4b11-8def-0642d0540e5a · outbound
Masked Visual Actions for Unified World Modeling Understanding physical dynamics with counterfactual world modeling
Reference 62
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Observation 62940561-bdaf-4541-b98a-a626f1390d4b · outbound
Masked Visual Actions for Unified World Modeling Wan: Open and Advanced Large-Scale Video Generative Models
Reference 63
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Observation 9b9c6d2d-e9a9-4417-8cb2-57c7a9b151d2 · outbound
Masked Visual Actions for Unified World Modeling Eva: Aligning video world models with executable robot actions via inverse dynamics rewards, 2026
Reference 64
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Observation c3dcb25d-8b7a-455e-bf13-25ecb7dc3cbe · outbound
Masked Visual Actions for Unified World Modeling Interactive world simulator for robot policy training and evaluation.arXiv preprint arXiv:2603.08546, 2026
Reference 65
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Observation 741604b0-4a2d-4094-a57e-0a50123789e9 · outbound
Masked Visual Actions for Unified World Modeling Precise action-to-video generation through visual action prompts
Reference 66
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Observation f7cdd53a-fa44-48ef-960c-1a816e2d4875 · outbound
Masked Visual Actions for Unified World Modeling Wolpert and J
Reference 67
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Observation 85aa13da-c5b9-4d46-801a-221179b3d2c5 · outbound
Masked Visual Actions for Unified World Modeling Wolpert, Zoubin Ghahramani, and Michael I
Reference 68
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Observation cf8c8a53-9b1c-4fbf-9340-eae84e13fda8 · outbound
Reference 69
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Observation 99715a3f-d73f-40a5-a1ab-86533f20e61c · outbound
Masked Visual Actions for Unified World Modeling Sun, Ashley Neall, Tong Wu, Shengqu Cai, and Gordon Wetzstein
Reference 70
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Observation f5d9321b-9944-43d7-abc5-f5748404f8fb · outbound
Masked Visual Actions for Unified World Modeling Kinema4d: Kinematic4d world modeling for spatiotemporal embodied simulation.arXiv preprint arXiv:2603.16669, 2026
Reference 71
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Observation 8cfdc1d7-e718-41b2-9505-ac8e1d8a3d17 · outbound
Masked Visual Actions for Unified World Modeling RoboPanoptes: The All-Seeing Robot with Whole-body Dexterity
Reference 72
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Observation ab6ab918-592d-4345-85df-311e9e6c4ab7 · outbound
Masked Visual Actions for Unified World Modeling Learning Interactive Real-World Simulators
Reference 73
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Observation 84c4a1d6-799e-470f-8c8a-c27e4f9caa3e · outbound
Masked Visual Actions for Unified World Modeling Orv: 4d occupancy-centric robot video generation, 2025
Reference 74
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Observation a8e5f30f-c093-4a77-8085-dcaeba235004 · outbound
Masked Visual Actions for Unified World Modeling Real-to-sim robot policy evaluation with gaussian splatting simulation of soft-body interactions
Reference 75
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Observation 84f6297c-83a5-4b2f-ac76-2c38fd5fab04 · outbound
Masked Visual Actions for Unified World Modeling Veo-act: How far can frontier video models advance generalizable robot manipulation?, 2026
Reference 76
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Observation 7fccbe33-c8ae-4be6-a725-5274c7345b24 · outbound
Masked Visual Actions for Unified World Modeling Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Reference 77
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Observation 6c349569-4e4e-44f4-a7b6-6acc18cc9ca9 · outbound
Masked Visual Actions for Unified World Modeling TesserAct: Learning 4D Embodied World Models
Reference 78
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Observation 8d9b496d-c710-48b7-8b9d-8339d9ea3ca8 · outbound
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Reference 79
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Masked Visual Actions for Unified World Modeling 3dflowaction: Learning cross-embodiment manipulation from 3d flow world model, 2025
Reference 80
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Observation 02ec8abe-6c1a-4de1-8892-851c0f196470 · outbound
Masked Visual Actions for Unified World Modeling Unified world models: Coupling video and action diffusion for pretraining on large robotic datasets, 2025
Reference 81
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Masked Visual Actions for Unified World Modeling Irasim: Learning interactive real-robot action simulators
Reference 82
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Observation 5ab4aa41-44c7-4018-a44f-70630b5e1320 · outbound
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Reference 83
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Observation bf97c2d8-397f-4f77-9d92-8dc248a27450 · outbound
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Reference 84
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Observation 9b682be1-bf24-422b-a688-e78410cff85f · outbound
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Reference 85
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Observation fe024360-1b51-40aa-a64c-a06c41f6aca3 · outbound
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Reference 86
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Observation 95f7312e-19d5-42d6-94c0-7ad8072974d4 · outbound
Masked Visual Actions for Unified World Modeling Covers Diffusion Policy, ACT, and SmolVLA baselines
Reference 87
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Observation 21b2c77b-ec9e-4e58-ab39-bdd522ca28a7 · outbound
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Reference 88
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Observation 40ca33fc-e5b8-44ee-b02f-2fe35df2e30d · outbound
Masked Visual Actions for Unified World Modeling Unresolved cited work
Reference 89
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Observation 2d75b15b-efbb-4d84-bf59-8a6507ff0f7c · outbound
Masked Visual Actions for Unified World Modeling the toaster door must be flush, latched, and closed by a push from below
Reference 90
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Masked Visual Actions for Unified World Modeling robot_pushed
Reference 91
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Reference 92
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Reference 93
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Reference 94
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