Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T22:42:31.529313Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.03964.
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 2026-07-11T22:42:31.529313Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
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
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0b4086ac-1b3d-45f8-8ac0-af023b4e6fc9 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Wan: Open and Advanced Large-Scale Video Generative Models
Reference 1
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Observation 713685f0-0768-4bc2-abdd-126c5f9b0bb2 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control HunyuanVideo 1.5 Technical Report
Reference 2
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Observation d216fdb6-9a81-4786-8b2d-5d7fb0e88706 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 3
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Observation aec85767-4cec-46ae-8a81-2a6490e9960b · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38, 2025
Reference 4
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Observation 61b89b2c-4a51-40bd-a711-b9f210da6298 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Gigaworld-0: World models as data engine to empower embodied ai.arXiv preprint arXiv:2511.19861, 2025
Reference 5
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Observation f664b062-935a-4ff8-9fba-85ca613271dc · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Genie: Generative interactive environments
Reference 6
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Observation d3539834-cc0f-4e3c-a3a2-9fc77528685a · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Matrix-game 2.0: An open-source real-time and streaming interactive world model
Reference 7
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Observation 5cc7477b-ea41-443a-90ae-96e93f396235 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory
Reference 8
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Observation c38dd666-f8a0-43f3-b671-c2106f59734f · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Matrix-Game: Interactive World Foundation Model
Reference 9
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Observation 779477c4-27ef-4f96-98b5-b50279587fc7 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
Reference 10
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Observation be78357e-501c-42b6-b3c8-f32d25a34194 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds
Reference 11
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Observation e338d536-6a5b-412f-b1d7-4c0eaf18b924 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Ctrl-World: A Controllable Generative World Model for Robot Manipulation
Reference 12
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Observation 400567b6-6133-4a8e-9be3-288d644b9e82 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control World Simulation with Video Foundation Models for Physical AI
Reference 13
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Observation 52d25937-3aee-4447-adb1-f889cc5409c7 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models
Reference 14
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Observation 85515c64-292e-4a67-bf31-606495093bf1 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Hand2world: Autoregressive egocentric interaction generation via free-space hand gestures.arXiv preprint arXiv:2602.09600, 2026
Reference 15
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Observation ed1a2964-0a9c-4ab9-a0d9-b84d422e297c · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Generated reality: Human-centric world simulation using interactive video generation with hand and camera control.arXiv preprint arXiv:2602.18422, 2026
Reference 16
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Observation 93141c7b-a1ff-49d7-b789-35732ae5c4ff · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Stereo Magnification: Learning View Synthesis using Multiplane Images
Reference 17
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Observation 43408b0d-437c-4ce0-907d-7c18663b5c7f · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision
Reference 18
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Observation 02da2ea4-04f5-4372-963f-84cddfcd05a9 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework
Reference 19
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Observation f7a64def-198f-4a9e-9ba0-71f093f0daa7 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Sekai: A video dataset towards world exploration.arXiv preprint arXiv:2506.15675, 2025
Reference 20
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Observation 1ce94bd8-79ec-4d58-a143-b41dc2b1f96b · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025
Reference 21
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Observation f03ed958-acec-4046-9f5b-a3ccd858fc16 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control ViPE: Video Pose Engine for 3D Geometric Perception
Reference 22
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Observation 3dec1557-3b45-4cd7-856c-e242963b777a · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Robotwin: Dual-arm robot benchmark with generative digital twins
Reference 23
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Observation 3518406e-154c-4edf-a43a-e06754d7e317 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
Reference 24
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Observation b9a66042-2bc0-44b6-a58b-79cf79346677 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Seedance 2.0: Advancing Video Generation for World Complexity
Reference 25
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Observation 7a83f413-bfcb-43f0-9488-c68adaba831a · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Qwen3.6-Plus: Towards real world agents, April 2026
Reference 26
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Observation 55cbb9c8-861f-468b-82de-c94ba676aef6 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Reference 27
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Observation ea6ab282-5884-484a-9624-2b7bfa29e033 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
Reference 28
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Observation 8b3472a2-77da-4124-ac60-049718d8f22d · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Ego4d: Around the world in 3,000 hours of egocentric video
Reference 29
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Observation 9175c8e8-7eee-4032-998b-bed2ee06a7b5 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Reconstructing hands in 3d with transformers
Reference 30
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Observation 1452d2f7-5f44-4469-9bff-9ac11d4998d7 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control
Reference 31
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Observation 2e5afe1e-df47-4b59-88d7-12cf58c5d348 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Cameractrl: Enabling camera control for video diffusion models
Reference 32
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Observation 0fc17834-4be5-452c-b867-5e64699a85d1 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Motionctrl: A unified and flexible motion controller for video generation
Reference 33
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Observation 4fd69936-7f3e-41ea-930f-e85b26ad3a84 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control CamI2V: Camera-Controlled Image-to-Video Diffusion Model
Reference 34
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Observation 3a40cf11-5925-4da6-9e3f-e723cb2536db · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Realcam-i2v: Real-world image-to-video generation with interactive complex camera control
Reference 35
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Observation af75196a-b394-474d-a036-71f20dabffb2 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Videox-fun: A flexible framework for video generation at any resolution
Reference 36
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Observation 098b3704-9b4a-4dc7-ba9f-295dce351183 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Ac3d: Analyzing and improving 3d camera control in video diffusion transformers
Reference 37
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Observation a03b2586-9354-4685-a4d5-1aa24c79a6ae · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
Reference 38
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Observation 5b8a0288-61d2-40cd-9cb7-ac29163bda68 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
Reference 39
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Observation 43ab904e-fd82-4904-860e-955755a12c3e · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Lome: Learninghuman-object manipulation with action-conditioned egocentric world model.arXiv preprint arXiv:2603.27449, 2026
Reference 40
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Observation c57f85c0-dbba-4239-a3b2-96555f420350 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991
Reference 41
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Observation 1569bfac-3d8a-41ef-a2c3-4e8b84e77068 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 42
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Observation 82f5eb89-ee90-48a7-ab2c-75755c98404a · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Reference 43
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Observation 4f9e6fc1-fa4d-4742-9e9e-f9fe3c91905a · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Reference 44
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Observation 47ae7383-3610-4d62-9549-4df3dcaac835 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 45
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Observation 7b240004-b637-43f6-9cbf-e502be4f47e8 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Reference 46
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Observation 7416791b-bf0f-4d42-bfc8-cbe1f200a988 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Reference 47
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Observation f31695f0-1df5-433f-97cc-37f6743b7d03 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Nucleus-Image: Sparse MoE for Image Generation
Reference 48
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Observation 08146e63-8c8d-4eda-87e7-a6d02a6d6c24 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Astra: General interactive world model with autoregressive denoising.arXiv preprint arXiv:2512.08931, 2026
Reference 49
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Observation 7ae4ffdf-a2a5-4619-8b3c-89f82d2750e5 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Wan-animate: Unified character animation and replacement with holistic replication.arXiv preprint arXiv:2509.14055, 2025
Reference 50
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Observation b39771b3-7fe2-4f53-9502-226d0c2a7add · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Unresolved cited work
Reference 51
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Observation 164de189-e011-47f3-9a76-a6a5ed657965 · outbound
Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control It uses a large-scale Vision 21 Transformer backbone and a Transformer decoder to regress hand parameters from a monocular RGB image
Reference 52
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No inbound Pith citation observations are available.