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Paper Citation Record · LEDGER

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control

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.

pith.paper-citation-record.v1
2607.03964 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T22:42:31.529313Z

measured 52 of 52 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

52 of 52 outbound references displayed

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Outbound references

Observation 0b4086ac-1b3d-45f8-8ac0-af023b4e6fc9 · outbound

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

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:b0548ca2b7df7f944fa4b207301692eefb442c69e2aa641db5788b1c5f025a01

Observation 713685f0-0768-4bc2-abdd-126c5f9b0bb2 · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:392cecba66e7d4a3c9e35879a6e57d8aa1821be39b8bf99199edf0f5c3013204

Observation d216fdb6-9a81-4786-8b2d-5d7fb0e88706 · outbound

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

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:7a9ee6443824d249b305cada5da8f2047ff7813b76e59ee30f455eb94a9388d7

Observation aec85767-4cec-46ae-8a81-2a6490e9960b · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38, 2025.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:80cdd0c4f1ca2fec267e6cf4c8d0ca629f2e3bd42a6571d90ec0a6b0c7a9707e

Observation 61b89b2c-4a51-40bd-a711-b9f210da6298 · outbound

This paper cites Gigaworld-0: World models as data engine to empower embodied ai.arXiv preprint arXiv:2511.19861, 2025.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:a168b1e72ee0dce1daf86fdba677e9823becc6a13c3bf4636ace3b7596f988d1

Observation f664b062-935a-4ff8-9fba-85ca613271dc · outbound

This paper cites Genie: Generative interactive environments.

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Genie: Generative interactive environments

Reference 6

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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:9b9042ef0a11c0aaea071d7fe5be08ac09e1ee95733a2686280c5fd44177cab3

Observation d3539834-cc0f-4e3c-a3a2-9fc77528685a · outbound

This paper cites Matrix-game 2.0: An open-source real-time and streaming interactive world model.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:23363bad119b49020863c9c8c9f7a70b863eaf2a7c5edd65de34a00ce08ddfd3

Observation 5cc7477b-ea41-443a-90ae-96e93f396235 · outbound

This paper cites Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:046c57ebf6b290c262712562c8c4eb02c488d1e521c62257c4a9ac31ba91ccaf

Observation c38dd666-f8a0-43f3-b671-c2106f59734f · outbound

This paper cites Matrix-Game: Interactive World Foundation Model.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:801beb5e258b18651ecef24dcebe4a884410ced5245473387b018b27be253103

Observation 779477c4-27ef-4f96-98b5-b50279587fc7 · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

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

This paper cites HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:b396ddc471b53b53b8926a1505aaa0fc04a6332205cae2105534106043b4dbf6

Observation e338d536-6a5b-412f-b1d7-4c0eaf18b924 · outbound

This paper cites Ctrl-World: A Controllable Generative World Model for Robot Manipulation.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:b0aa9a3ff23d578faa921b3dc1c4814dfbf8cf34a1bf7dc369aab54595d8d173

Observation 400567b6-6133-4a8e-9be3-288d644b9e82 · outbound

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

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:b1a8fd9269b19fb4e633ac4d106c27340676d898326e58e06e1b297c4d0889ae

Observation 52d25937-3aee-4447-adb1-f889cc5409c7 · outbound

This paper cites Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:df222a90ac6eb818271b56da10f862f8e75088d4b9777c36e3e5e90c58906125

Observation 85515c64-292e-4a67-bf31-606495093bf1 · outbound

This paper cites Hand2world: Autoregressive egocentric interaction generation via free-space hand gestures.arXiv preprint arXiv:2602.09600, 2026.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:e24bc12c76f50d402f0c24da193f0044b3e5374f7a2c991396ff9bb4434b44ba

Observation ed1a2964-0a9c-4ab9-a0d9-b84d422e297c · outbound

This paper cites Generated reality: Human-centric world simulation using interactive video generation with hand and camera control.arXiv preprint arXiv:2602.18422, 2026.

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

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:c4aef0c38d7c5f4a9aa63779173a4c799a1818d288d6b1c76b52f9c634457385

Observation 43408b0d-437c-4ce0-907d-7c18663b5c7f · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

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

This paper cites iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework.

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

This paper cites Sekai: A video dataset towards world exploration.arXiv preprint arXiv:2506.15675, 2025.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:30c0d33aee8722b28992ad2f36ebee1189c2d1a170c95bacb9bb60c16a429269

Observation 1ce94bd8-79ec-4d58-a143-b41dc2b1f96b · outbound

This paper cites Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025.

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

This paper cites ViPE: Video Pose Engine for 3D Geometric Perception.

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

This paper cites Robotwin: Dual-arm robot benchmark with generative digital twins.

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

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:3a11e8c9b767f9f0eeb85eb17989fa863d64354f546647c807f1fa4f57da121d

Observation b9a66042-2bc0-44b6-a58b-79cf79346677 · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

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

This paper cites Qwen3.6-Plus: Towards real world agents, April 2026.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:743b9fd4729ab8333479376d61f77e652233de319c0d65dcd1c73c3b943d459d

Observation 55cbb9c8-861f-468b-82de-c94ba676aef6 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:54b5233d74f10a38a6c4940896efee5c6508dff5eb40b187524fb410ea16aa82

Observation ea6ab282-5884-484a-9624-2b7bfa29e033 · outbound

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

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:a98963cb3d80b242e0d4ec1795aa780e5c6af7841e9beb3b2d10e36151e6ca51

Observation 8b3472a2-77da-4124-ac60-049718d8f22d · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:801d852cdc0feeb8920ce10474ba4c6c76a2750b777773024a03cc63ea857d56

Observation 9175c8e8-7eee-4032-998b-bed2ee06a7b5 · outbound

This paper cites Reconstructing hands in 3d with transformers.

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

This paper cites Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.

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

This paper cites Cameractrl: Enabling camera control for video diffusion models.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:37e191507e9d0eb134d096eee80060007969eee9878af1090c7ac5878d3546e6

Observation 0fc17834-4be5-452c-b867-5e64699a85d1 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:46e1334d3080b93029c5f22ac085cb62b97700cbccc925233c3061cdfc8e29c6

Observation 4fd69936-7f3e-41ea-930f-e85b26ad3a84 · outbound

This paper cites CamI2V: Camera-Controlled Image-to-Video Diffusion Model.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:08afc791c810f6cb72e49ac210f8ee8fa5c463e8a029d7897ac48a4b4cba82ac

Observation 3a40cf11-5925-4da6-9e3f-e723cb2536db · outbound

This paper cites Realcam-i2v: Real-world image-to-video generation with interactive complex camera control.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:23fc9e2bac073dec494f98a5dfcb125bab00d1eb673706b77eb8e017a96e2486

Observation af75196a-b394-474d-a036-71f20dabffb2 · outbound

This paper cites Videox-fun: A flexible framework for video generation at any resolution.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:e5a6315c45492365e66b43f6f0f1df9f78eca1fd5360068afd0e0040d87a9ed6

Observation 098b3704-9b4a-4dc7-ba9f-295dce351183 · outbound

This paper cites Ac3d: Analyzing and improving 3d camera control in video diffusion transformers.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:44cc805fd39bdaf1c78dd506999a9512205a2209f1b65b64ceb32b860fd832c4

Observation a03b2586-9354-4685-a4d5-1aa24c79a6ae · outbound

This paper cites MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:5578a17b3174f549ce356725068a59afb77c56562412814398b2b7422543e797

Observation 5b8a0288-61d2-40cd-9cb7-ac29163bda68 · outbound

This paper cites MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:8610760d8f2b018f13635569a0fa6b262cb2aeb5a53d081469422a84f07613b4

Observation 43ab904e-fd82-4904-860e-955755a12c3e · outbound

This paper cites Lome: Learninghuman-object manipulation with action-conditioned egocentric world model.arXiv preprint arXiv:2603.27449, 2026.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:195a721a119a348ec380f3347c54aa6d87c3732e7da079ef3774bf7bf0002f59

Observation c57f85c0-dbba-4239-a3b2-96555f420350 · outbound

This paper cites Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:f7a52163191b6ddcfe67cc610bd01068282d9b5c201cfccbe2af0ddd1c982622

Observation 1569bfac-3d8a-41ef-a2c3-4e8b84e77068 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:721d04588641496a93596605dadd7d9e3935c79e1a9bcf6c660ddee8bceeeb28

Observation 82f5eb89-ee90-48a7-ab2c-75755c98404a · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:0d57cd73248b816184565273766c64d5414c07591e6cfcd7072c07e3567268aa

Observation 4f9e6fc1-fa4d-4742-9e9e-f9fe3c91905a · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:210b7e4d941a28112b27e86be8bb939523f382990078ec59d3e948dc38916aba

Observation 47ae7383-3610-4d62-9549-4df3dcaac835 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:2ec27f7ec1474cbd8843ba8c78a374fb13d70435841d385620a2d7b0e24dd1b2

Observation 7b240004-b637-43f6-9cbf-e502be4f47e8 · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:4490b8fd3317a6c061bc750d5d32df424d2bc0e96d259fe6c31d9c1e70a6056f

Observation 7416791b-bf0f-4d42-bfc8-cbe1f200a988 · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:df4257e9fe130986b98ca310fd4ad5a9d4c9487ac03a6ed5aa903629b9e20531

Observation f31695f0-1df5-433f-97cc-37f6743b7d03 · outbound

This paper cites Nucleus-Image: Sparse MoE for Image Generation.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:c6ef9ec41628d306f3fb63f5dbdb3b6526b0928ff15d50676a419afb9d84d89e

Observation 08146e63-8c8d-4eda-87e7-a6d02a6d6c24 · outbound

This paper cites Astra: General interactive world model with autoregressive denoising.arXiv preprint arXiv:2512.08931, 2026.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:54f479cc6afe0e29975549e2d0a91ad490d942d8536aac4f8d6e59fd99078158

Observation 7ae4ffdf-a2a5-4619-8b3c-89f82d2750e5 · outbound

This paper cites Wan-animate: Unified character animation and replacement with holistic replication.arXiv preprint arXiv:2509.14055, 2025.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:aaef968db8ff077bc2895421b6f789227ad9939745444b165a8df389869e661e

Observation b39771b3-7fe2-4f53-9502-226d0c2a7add · outbound

This paper cites an unresolved cited work.

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Unresolved cited work

Reference 51

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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:f525c16a5409ba70b86b0d578dd772858f4eb4833088195dabf610fd5fc09a7d

Observation 164de189-e011-47f3-9a76-a6a5ed657965 · outbound

This paper cites It uses a large-scale Vision 21 Transformer backbone and a Transformer decoder to regress hand parameters from a monocular RGB image.

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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source=pdf_text observed=2026-07-11T22:42:31.529313Z digest=sha256:786d8c07a4e78488cac4ee3d1afd40ecdf352059a4755c156763a732702b9ec5

Pith citing papers

No inbound Pith citation observations are available.