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Paper Citation Record · LEDGER

MoWorld: A Flash World Model

As of 12 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2607.06216.

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

pith.paper-citation-record.v1
2607.06216 v2

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:32:04.236004Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

77 of 77 outbound references displayed

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  • unresolved77
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22f34331-d9e4-49a5-89ab-601fcd786b38 · outbound

This paper cites GPT-4 Technical Report.

MoWorld: A Flash World Model GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-04T04:32:03.951883Z digest=sha256:b38c9f19080a129d652d68e34eebbde11a799637030fe3eaf18a5e51c4222151

Observation 52d58005-d60b-4273-ab6e-853b20958ffa · outbound

This paper cites Vggt: Visual geometry grounded transformer.

MoWorld: A Flash World Model Vggt: Visual geometry grounded transformer

Reference 2

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source=pdf_text observed=2026-08-04T04:32:03.956748Z digest=sha256:d2772688282219c7172a9fee07986cc18ba5ddefee93f45c7fd96890fea1df5c

Observation 993711a8-9045-442a-b866-7305bf8f2055 · outbound

This paper cites VGGT-$\Omega$.

MoWorld: A Flash World Model VGGT-$\Omega$

Reference 3

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source=pdf_text observed=2026-08-04T04:32:03.960574Z digest=sha256:3d85c35405988fd5da0ab9c20e3c8efa1a0f3bc636fa2c1baccf837994f1e65b

Observation ef7ecc3c-17f7-47b5-8297-f3e530923d1e · outbound

This paper cites Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model.

MoWorld: A Flash World Model Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model

Reference 4

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source=pdf_text observed=2026-08-04T04:32:03.964414Z digest=sha256:16716f9ff2659ac9638464ab50efc5efdf7008f2a1237c70743e1783dbf341da

Observation ddb35b3d-85bb-43d0-bf10-b12080daef41 · outbound

This paper cites Longcat-video technical report.arXiv preprint arXiv:2510.22200, 2025.

MoWorld: A Flash World Model Longcat-video technical report.arXiv preprint arXiv:2510.22200, 2025

Reference 5

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source=pdf_text observed=2026-08-04T04:32:03.968619Z digest=sha256:643239244f7042593588311e6fb44578c9e1241788efcb24033dbc888221b974

Observation 4bc1a78f-a2bc-44a0-8508-96ea0bf19e46 · outbound

This paper cites Dens3R: A Foundation Model for 3D Geometry Prediction.

MoWorld: A Flash World Model Dens3R: A Foundation Model for 3D Geometry Prediction

Reference 6

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source=pdf_text observed=2026-08-04T04:32:03.972034Z digest=sha256:5e76cb2133d1b478fb5e1c762a3980617d880ac0ee0ded10ae7edcf4e715b917

Observation 000615eb-654e-463a-a428-dad69dfe2872 · outbound

This paper cites Veo 3.1, 2025.

MoWorld: A Flash World Model Veo 3.1, 2025

Reference 9

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source=pdf_text observed=2026-08-04T04:32:03.983740Z digest=sha256:31b6b4a6b2896fcb3333e32cc6b14b523ae7aac6bb5cc247e67fe731f3eb7084

Observation a041663c-0264-4a12-8c75-75ebbb313b45 · outbound

This paper cites Kling 2.5 turbo, 2025.

MoWorld: A Flash World Model Kling 2.5 turbo, 2025

Reference 10

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source=pdf_text observed=2026-08-04T04:32:03.987167Z digest=sha256:ea9e3b2f7b425053e364d2c38c4ebcada34c43039818926a34db6130eecb9dc7

Observation 67241f3d-3391-4a0c-8cd3-3e7ee9262ccb · outbound

This paper cites Sora 2, 2025.

MoWorld: A Flash World Model Sora 2, 2025

Reference 11

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source=pdf_text observed=2026-08-04T04:32:03.990528Z digest=sha256:5545b6e6ceefd8f14e2f84c3c33dc2ed66feb98cc02a271dbfade1d0195a6928

Observation fc59d815-304b-4678-9638-79e8012ddd15 · outbound

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

MoWorld: A Flash World Model HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 12

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source=pdf_text observed=2026-08-04T04:32:03.994352Z digest=sha256:397ea08dd373e67a9045aad4987dfa4d2c734345581eb636cd4d82c0cded5841

Observation ede3225e-331c-49c6-9d41-05d636fd5e3e · outbound

This paper cites Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

MoWorld: A Flash World Model Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 13

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source=pdf_text observed=2026-08-04T04:32:03.997731Z digest=sha256:94dd2ed772611e6264fb6fd2990dfb6f5e0ae2ad8c8f0255066b06432e1c0cc2

Observation c1284084-c9b4-44dd-adfa-4d16357cf2ea · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

MoWorld: A Flash World Model Diffusion Models Are Real-Time Game Engines

Reference 14

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source=pdf_text observed=2026-08-04T04:32:04.001207Z digest=sha256:139db5f85048fa108723e8e0a11645d1d51f33fbe4b3f28ac2bc5f6f0da2282c

Observation 0b1d5d0f-3ca1-43c6-8758-5f2a26d8359b · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

MoWorld: A Flash World Model DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 15

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source=pdf_text observed=2026-08-04T04:32:04.004595Z digest=sha256:ee3a2964b16ee6d4e25d46ed1bff80780b625b8a6ce3520ef8617d4275bd2056

Observation 69178ddb-ba30-4aca-aed1-038d54478d6f · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

MoWorld: A Flash World Model ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 16

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source=pdf_text observed=2026-08-04T04:32:04.008242Z digest=sha256:74276a624b72748d4bb2145c178f202753bcd22515b5ae7de5e95bbc5e8dabd7

Observation e120c679-7d0e-42a7-9b9a-c7f5ec392e27 · outbound

This paper cites DeepSeek-V3 Technical Report.

MoWorld: A Flash World Model DeepSeek-V3 Technical Report

Reference 17

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source=pdf_text observed=2026-08-04T04:32:04.011837Z digest=sha256:e9d603486b0da60c0d3978144bb34fac4cf3d714a63b728cd863e3d2cd5416d6

Observation 0d676a1b-e253-444c-a5b1-2eec126b76f0 · outbound

This paper cites Qwen3-VL Technical Report.

MoWorld: A Flash World Model Qwen3-VL Technical Report

Reference 18

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source=pdf_text observed=2026-08-04T04:32:04.015582Z digest=sha256:abc1a70737b8dcdd19a7a08149bf1aafaae9fd4108491a650a18521a466c1a4e

Observation 454200fb-e3eb-40c0-8179-40b1406b9266 · outbound

This paper cites Seed1.5-VL Technical Report.

MoWorld: A Flash World Model Seed1.5-VL Technical Report

Reference 19

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source=pdf_text observed=2026-08-04T04:32:04.018794Z digest=sha256:7e651099d543bc4af5ba6d76c4e9162efc94315a92d6e787f8373aa528688d74

Observation 61b5bd0c-b811-4c96-82f0-25c0ee0d8137 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MoWorld: A Flash World Model Gemini: A Family of Highly Capable Multimodal Models

Reference 20

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source=pdf_text observed=2026-08-04T04:32:04.022366Z digest=sha256:16bb74d77af4e0201b85212bace49847a8577d1ca21684a0665a79f195a14d71

Observation 03462629-3b86-4dca-a34f-7892e6fc0b3b · outbound

This paper cites Learning transferable visual models from natural language supervision.

MoWorld: A Flash World Model Learning transferable visual models from natural language supervision

Reference 21

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source=pdf_text observed=2026-08-04T04:32:04.025878Z digest=sha256:43e6af957e1fdec42812569288e0b66c8fa35bdfa1b0cf9dea999ea9fc375d11

Observation 4485e682-9261-497f-b288-c90a00580790 · outbound

This paper cites Hunyuan-gamecraft-2: Instruction-following interactive game world model.arXiv preprint arXiv:2511.23429, 2025.

MoWorld: A Flash World Model Hunyuan-gamecraft-2: Instruction-following interactive game world model.arXiv preprint arXiv:2511.23429, 2025

Reference 22

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source=pdf_text observed=2026-08-04T04:32:04.029524Z digest=sha256:e191cee1b90af6a2a44866dc1a8fa21395be13aa5387cb9353f0ded08b5e7e58

Observation 66714da6-946a-4c73-8c57-62107871f530 · outbound

This paper cites Pan: A world model for general, interactable, and long-horizon world simulation.arXiv preprint arXiv:2511.09057, 2025.

MoWorld: A Flash World Model Pan: A world model for general, interactable, and long-horizon world simulation.arXiv preprint arXiv:2511.09057, 2025

Reference 23

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source=pdf_text observed=2026-08-04T04:32:04.033004Z digest=sha256:e75069fb32f43428c5f6a091329781f795ea822b329ace123bed90cadb760747

Observation 46f0bb37-27cf-41eb-ab64-dd4781c2100e · outbound

This paper cites an unresolved cited work.

MoWorld: A Flash World Model Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-04T04:32:04.036467Z digest=sha256:6cb45c2ff5a5c9b8540eba6f8f44f6171dff975eb3f28a87bbb3bddccbfc3810

Observation 31b328b3-cb4a-48bb-9ea0-a5ca5c786791 · outbound

This paper cites Advancing Open-source World Models.

MoWorld: A Flash World Model Advancing Open-source World Models

Reference 25

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source=pdf_text observed=2026-08-04T04:32:04.040010Z digest=sha256:3d372cedffd2ba7179e98e8de6b2709ca3dc4a12cbfcc98ddf49541d9e30fedd

Observation 4cf14b8e-0008-412d-9ffc-816d31a30565 · outbound

This paper cites Hy-world 1.5: A systematic framework for interactive world modeling with real-time latency and geometric consistency.arXiv preprint, 2025.

MoWorld: A Flash World Model Hy-world 1.5: A systematic framework for interactive world modeling with real-time latency and geometric consistency.arXiv preprint, 2025

Reference 26

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source=pdf_text observed=2026-08-04T04:32:04.043880Z digest=sha256:d2de4532fd52751f6f41b0d6d60986fcc913624591bffde7feb8ffdc752d3d3e

Observation 0d634471-12a2-4a99-b6d6-02642bd88dd4 · outbound

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

MoWorld: A Flash World Model WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 27

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source=pdf_text observed=2026-08-04T04:32:04.047374Z digest=sha256:d95e8b0c4865a6bae1ba692bacf21fde052237da60c48e12066a0f3bc43ec48e

Observation ff049c7a-8a75-4e2d-b389-a466b48170de · outbound

This paper cites Yume-1.5: A text-controlled interactive world generation model.arXiv preprint arXiv:2512.22096, 2025.

MoWorld: A Flash World Model Yume-1.5: A text-controlled interactive world generation model.arXiv preprint arXiv:2512.22096, 2025

Reference 28

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source=pdf_text observed=2026-08-04T04:32:04.051362Z digest=sha256:28c054c75ae89d9e51fdf8d20f82225121b540bd5027cb62109c43a2de3a538a

Observation ed4086de-0f71-46bc-82a2-c0e70fea12fc · outbound

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

MoWorld: A Flash World Model World Simulation with Video Foundation Models for Physical AI

Reference 29

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source=pdf_text observed=2026-08-04T04:32:04.054879Z digest=sha256:00cfbf47ce32aad117808db20ae5c4c1857637ad4a8e03240ff026e8a158a6aa

Observation e4036686-d708-4848-8abf-034760759db1 · outbound

This paper cites TesserAct: Learning 4D Embodied World Models.

MoWorld: A Flash World Model TesserAct: Learning 4D Embodied World Models

Reference 30

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source=pdf_text observed=2026-08-04T04:32:04.058569Z digest=sha256:b5a9e5cdc1fd7bdd629a82f3195dfe0da75cf3aa0f5f83130aa9ca59eae096f9

Observation ba72a833-725d-46b8-b4cf-ad181f7e0328 · outbound

This paper cites The world is your canvas: Paintingpromptableeventswithreferenceimages, trajectories, andtext.

MoWorld: A Flash World Model The world is your canvas: Paintingpromptableeventswithreferenceimages, trajectories, andtext

Reference 31

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source=pdf_text observed=2026-08-04T04:32:04.062370Z digest=sha256:0e1738f3483e482fdf63699eda1a7477996ef9b00607a7edc9557ec0ef38687b

Observation 4fbf9de7-94fe-4c5c-b956-9173900a189d · outbound

This paper cites World Action Models are Zero-shot Policies.

MoWorld: A Flash World Model World Action Models are Zero-shot Policies

Reference 32

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source=pdf_text observed=2026-08-04T04:32:04.065795Z digest=sha256:e2ca5384dcd7425d5dc507251abc3034d079ccbe641bf7e0aee35c15aab4439e

Observation 856ce55d-a98f-4ce7-a352-6a1b06e12e50 · outbound

This paper cites Motus: Aunifiedlatentactionworldmodel.

MoWorld: A Flash World Model Motus: Aunifiedlatentactionworldmodel

Reference 33

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source=pdf_text observed=2026-08-04T04:32:04.069886Z digest=sha256:7142ac5c6dde351b71a9af119e42f5758fade523bc8c2c0c050b38727a531b39

Observation 0231909f-763e-47c1-8651-af250b12f769 · outbound

This paper cites World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems.

MoWorld: A Flash World Model World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems

Reference 34

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source=pdf_text observed=2026-08-04T04:32:04.073683Z digest=sha256:7dbc60a7f77ea49862450d64fb7e70f50fcefb56bb0c2804afc93c885c16afc4

Observation 36cee4a6-05d0-415e-9244-8dcc9714d0f1 · outbound

This paper cites Learning physics from pretrained video models: A multimodal continuous and sequential world interaction models for robotic manipulation.

MoWorld: A Flash World Model Learning physics from pretrained video models: A multimodal continuous and sequential world interaction models for robotic manipulation

Reference 35

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source=pdf_text observed=2026-08-04T04:32:04.077061Z digest=sha256:39fc64a391b7a6007ef916221f96532b8c4e413e3e62157bfec635e9b9ea97f2

Observation d928238b-e032-4fb9-aa52-9d51efb7f73f · outbound

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

MoWorld: A Flash World Model Cosmos World Foundation Model Platform for Physical AI

Reference 36

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source=pdf_text observed=2026-08-04T04:32:04.080652Z digest=sha256:2b973a0dd5fbfe3335390d3b1233afc6273002ec18811ac3c1863125c8c95811

Observation 8a4cd1a6-e2fa-480d-b34c-1f3cdc5291b8 · outbound

This paper cites A Survey: Learning Embodied Intelligence from Physical Simulators and World Models.

MoWorld: A Flash World Model A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 37

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source=pdf_text observed=2026-08-04T04:32:04.084465Z digest=sha256:eaa7deaf449fbfec0fe2e003a4742b6178ec0a0f4e5cf29cc4d2bfaadce46155

Observation 06073b08-e2b9-40ab-b477-1ac5bc16bbfd · outbound

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

MoWorld: A Flash World Model Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 38

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source=pdf_text observed=2026-08-04T04:32:04.087958Z digest=sha256:17d14494526a36ec86a14543379f6a73ed9e566d3b6277b2f0d26be731ad3427

Observation 0fb473dc-57cd-447a-a55b-8083db6d67ad · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion.

MoWorld: A Flash World Model Vggsfm: Visual geometry grounded deep structure from motion

Reference 39

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source=pdf_text observed=2026-08-04T04:32:04.091541Z digest=sha256:b3896a203bc72967104eefb41dd313c3c76d8787799872e8a1f5ea8b37709818

Observation f4891560-1fde-42e0-bfa9-b96ed7307f96 · outbound

This paper cites StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compression.

MoWorld: A Flash World Model StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compression

Reference 40

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source=pdf_text observed=2026-08-04T04:32:04.094838Z digest=sha256:062005b94e8239c054b27c4916b3a2dc63f61ce85a9d43cf27c2a90d8ca8fafe

Observation 91445263-4d11-437d-8906-0ff13c5761b9 · outbound

This paper cites HD-VGGT: High-Resolution Visual Geometry Transformer.

MoWorld: A Flash World Model HD-VGGT: High-Resolution Visual Geometry Transformer

Reference 41

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source=pdf_text observed=2026-08-04T04:32:04.098570Z digest=sha256:12377a661c896416c1158985c2a83a8872019c66ca82aa051b9fd85a66a17e41

Observation 7ba7e530-93f7-4351-b1c5-9dfb53346c50 · outbound

This paper cites Denoising diffusion probabilistic models.

MoWorld: A Flash World Model Denoising diffusion probabilistic models

Reference 42

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Observation c2a13c6a-1a89-4a18-b662-64ccfb4e32d5 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

MoWorld: A Flash World Model High-resolution image synthesis with latent diffusion models

Reference 43

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Observation df56e299-7d72-43f3-a41c-3e071855cfa0 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

MoWorld: A Flash World Model Align your latents: High-resolution video synthesis with latent diffusion models

Reference 44

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source=pdf_text observed=2026-08-04T04:32:04.109820Z digest=sha256:eaa1b28f5143947c3bdf706a5421fd263ee13eae6b74a2358df21ff28a34227f

Observation c3fae098-576f-4df1-b8f6-4ce81302116f · outbound

This paper cites Scalable diffusion models with transformers.

MoWorld: A Flash World Model Scalable diffusion models with transformers

Reference 45

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source=pdf_text observed=2026-08-04T04:32:04.113731Z digest=sha256:44f991df8f1033e549b1039080d67562c0584093236347bbd2d048b3f6f42972

Observation 39f0086a-2f0c-44be-9fa5-4d2e839e4c0d · outbound

This paper cites A survey on mixture of experts in large language models.IEEE Transactions on Knowledge and Data Engineering, 2025.

MoWorld: A Flash World Model A survey on mixture of experts in large language models.IEEE Transactions on Knowledge and Data Engineering, 2025

Reference 46

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Observation 91cca76e-a0e4-4c80-8cca-2668f3415e9e · outbound

This paper cites More: 3d visual geometry reconstruction meets mixture-of-experts.

MoWorld: A Flash World Model More: 3d visual geometry reconstruction meets mixture-of-experts

Reference 47

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Observation bf48015e-577b-494d-b813-a902b11a843d · outbound

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

MoWorld: A Flash World Model Wan: Open and Advanced Large-Scale Video Generative Models

Reference 48

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source=pdf_text observed=2026-08-04T04:32:04.124455Z digest=sha256:a6f613e89f555680c41629fff6ec0c78e900b1bdb75a9deaf5660ea7386a3dbe

Observation 01551f82-2a2e-4a3d-bd49-fb0414904e27 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

MoWorld: A Flash World Model CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 49

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source=pdf_text observed=2026-08-04T04:32:04.128094Z digest=sha256:cbb300b630fea0f2b029cde0a432e62efbcbde49be09b3c477affdf582044751

Observation 026ecc52-6ccb-4657-89ca-ff11404e9e73 · outbound

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

MoWorld: A Flash World Model CamI2V: Camera-Controlled Image-to-Video Diffusion Model

Reference 50

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source=pdf_text observed=2026-08-04T04:32:04.132232Z digest=sha256:d2fde9a47b979672c4d711da6b3d909e0e6e136a7b2c105439f346dc88736366

Observation 0488fad1-ff9b-4690-883c-dbf0cd69ffd3 · outbound

This paper cites VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

MoWorld: A Flash World Model VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Reference 51

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source=pdf_text observed=2026-08-04T04:32:04.136455Z digest=sha256:740547a83703bf1f6bdbddaf1e009d29f495b7c1baca7d76f6b541f354723bc0

Observation 4fe59832-a48e-4919-8b1c-a270954d0f24 · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

MoWorld: A Flash World Model CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 52

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source=pdf_text observed=2026-08-04T04:32:04.139976Z digest=sha256:9467c9760a8ca0f797e7fe46a309e0e23fbd1d16dce130b7ff3af60fa16ff010

Observation 31736638-c83b-4486-b12b-f485078ba375 · outbound

This paper cites CPA: Camera-pose-awareness Diffusion Transformer for Video Generation.

MoWorld: A Flash World Model CPA: Camera-pose-awareness Diffusion Transformer for Video Generation

Reference 53

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source=pdf_text observed=2026-08-04T04:32:04.143490Z digest=sha256:d855c7ef039bde8d75d76d93172265ee819d310cb3dd3297a129600d37fe1366

Observation 450e122a-68b0-4b0c-b623-a2e987d6d972 · outbound

This paper cites CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors.

MoWorld: A Flash World Model CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors

Reference 54

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source=pdf_text observed=2026-08-04T04:32:04.147061Z digest=sha256:cedabb423d1a34f0a398a4b8aef338d39f0c240925bf6204a9c61eac52bc7cc3

Observation e5ea359c-9749-49c4-927a-c45621bbda95 · outbound

This paper cites Stable virtual camera: Generative view synthesis with diffusion models.

MoWorld: A Flash World Model Stable virtual camera: Generative view synthesis with diffusion models

Reference 55

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source=pdf_text observed=2026-08-04T04:32:04.150631Z digest=sha256:a314ac10859bcb002c5e96c1a6aeffb1c84e5680c2256cb4fb248506cb5b40e2

Observation 19c349c6-1b7c-4b59-85d3-8868e1005791 · outbound

This paper cites USP: A Unified Sequence Parallelism Approach for Long Context Generative AI.

MoWorld: A Flash World Model USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

Reference 56

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source=pdf_text observed=2026-08-04T04:32:04.154054Z digest=sha256:d4aecb449382a342d44c782aaa3724f8bfde39f3c02d5a4bf5cbdbbb3a4eaf3d

Observation 261ec27b-385d-4241-8a87-f0fa1de01c62 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

MoWorld: A Flash World Model DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 57

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source=pdf_text observed=2026-08-04T04:32:04.157615Z digest=sha256:b764e0a4badd349f21230ae4de6f4a26c051fac98f8962cb5a231dd288300881

Observation d365cc4c-7ea9-4d28-81c1-7d9a8d7d1208 · outbound

This paper cites Zero: Memory optimizations toward train- ing trillion parameter models.

MoWorld: A Flash World Model Zero: Memory optimizations toward train- ing trillion parameter models

Reference 58

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source=pdf_text observed=2026-08-04T04:32:04.161336Z digest=sha256:23096c4c9b9577885e6e01404130f89a255da659911cc9313259182dbc3ad151

Observation 62bb2d0a-cbd1-4a5c-a619-a7a9662017d8 · outbound

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

MoWorld: A Flash World Model Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 59

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source=pdf_text observed=2026-08-04T04:32:04.164728Z digest=sha256:7387c63eef69c7c65fbde1e0cbf9be8b3b2721bcedec6e9977cfb35ca80625fc

Observation f0251e1a-6b1f-4252-b558-174d9a21f90a · outbound

This paper cites Self-Forcing++: Towards Minute-Scale High-Quality Video Generation.

MoWorld: A Flash World Model Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Reference 60

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source=pdf_text observed=2026-08-04T04:32:04.168424Z digest=sha256:b37b06d590a2a922d2ed8e24c0120cc30491a94a8ef052e94bc06e41de93def9

Observation 6769eeb7-2f7e-47fe-8342-aa1aa815f94a · outbound

This paper cites One-step diffusion with distribution matching distillation.

MoWorld: A Flash World Model One-step diffusion with distribution matching distillation

Reference 61

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source=pdf_text observed=2026-08-04T04:32:04.172331Z digest=sha256:91698c14b4ff1bbe003e0d6ae3705434957ccb81980f82d0821fc69c0fde8005

Observation 422dba33-2522-442f-ac1b-d9d2ac1a979e · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

MoWorld: A Flash World Model Improved distribution matching distillation for fast image synthesis

Reference 62

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source=pdf_text observed=2026-08-04T04:32:04.176065Z digest=sha256:7c531f8f0cb4d5bfd5db79b297bd6ce8959601e9d738d8aa3a5ef0cc6e9264e7

Observation 2aff0eff-4dbe-4d1c-9291-aee253495f02 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.

MoWorld: A Flash World Model From slow bidirectional to fast autoregressive video diffusion models

Reference 63

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source=pdf_text observed=2026-08-04T04:32:04.179785Z digest=sha256:ef01e3bf307c8ff827324555ecf5ba883df6f971cf995e0994ee61ea98391d90

Observation 108379a3-977f-4edb-9daa-edd5f97000b2 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

MoWorld: A Flash World Model Distilling the Knowledge in a Neural Network

Reference 64

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source=pdf_text observed=2026-08-04T04:32:04.183277Z digest=sha256:a7d6d62126e81d56ca0ff5bc5554359f2ad80a36e3ed4bc9f76865a4d52c4e26

Observation 6e38ea7b-5b0d-43d3-8efc-2f4a3acdb6ff · outbound

This paper cites MAGI-1: Autoregressive Video Generation at Scale.

MoWorld: A Flash World Model MAGI-1: Autoregressive Video Generation at Scale

Reference 65

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source=pdf_text observed=2026-08-04T04:32:04.187153Z digest=sha256:51aec9508e3b0a659af65480723871123c040b3aae896a562e62845e9f4d53b8

Observation 9a9c962e-9ce6-4589-ba92-ca78890815e3 · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

MoWorld: A Flash World Model Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 66

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source=pdf_text observed=2026-08-04T04:32:04.191083Z digest=sha256:e4370ee274e69699f2c6d3db14c01de5e1a0682c6d85ecf7526acdeddca3f5d4

Observation b7544240-4693-4ea3-a9e5-f244172323ad · outbound

This paper cites Worldmem: Long-term consistent world simulation with memory.Advances in Neural Information Processing Systems, 38: 49632–49652, 2026.

MoWorld: A Flash World Model Worldmem: Long-term consistent world simulation with memory.Advances in Neural Information Processing Systems, 38: 49632–49652, 2026

Reference 67

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source=pdf_text observed=2026-08-04T04:32:04.194776Z digest=sha256:755086a86c25da37ee99340a5e960545572cef4496e71161f992837736fd32b6

Observation bcbcce63-5fa9-4b21-8955-e6e39a8ad3f2 · outbound

This paper cites CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

MoWorld: A Flash World Model CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 68

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source=pdf_text observed=2026-08-04T04:32:04.198441Z digest=sha256:aa6019761826a28ec20cf04b2cf54c81fff63e2aa17c7dca06bea39bf927ac4d

Observation 23c8fd3c-2a0e-40e9-b9a8-3793fb296727 · outbound

This paper cites Reconx: Reconstruct any scene from sparse views with video diffusion model.

MoWorld: A Flash World Model Reconx: Reconstruct any scene from sparse views with video diffusion model

Reference 69

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source=pdf_text observed=2026-08-04T04:32:04.201917Z digest=sha256:3026997bd8ef549ba4c3f539f4a99875525bf65bc1059d3b259240ce693dc481

Observation 79c72d06-dc34-4896-a2a7-24c1c271c6ff · outbound

This paper cites Gen3c: 3d-informed world-consistent video generation with precise camera control.

MoWorld: A Flash World Model Gen3c: 3d-informed world-consistent video generation with precise camera control

Reference 70

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source=pdf_text observed=2026-08-04T04:32:04.205339Z digest=sha256:d32ada9da18d9c9234be97ad57e53873d1e7002ee19e83839cc0f79e8b329ff8

Observation 132ab272-cfde-46da-8120-083edbba329a · outbound

This paper cites Roformer: Enhanced trans- former with rotary position embedding.Neurocomputing, 568:127063, 2024.

MoWorld: A Flash World Model Roformer: Enhanced trans- former with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 71

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source=pdf_text observed=2026-08-04T04:32:04.208905Z digest=sha256:2ee9a6445731c7b2b37968d44ee202310b4deb036e46b27db7f901c59a8e1b70

Observation a0028a62-4000-4425-bce2-bd125c02baac · outbound

This paper cites Helios: Real real-time long video generation model.arXiv preprint arXiv:2603.04379, 2026.

MoWorld: A Flash World Model Helios: Real real-time long video generation model.arXiv preprint arXiv:2603.04379, 2026

Reference 72

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source=pdf_text observed=2026-08-04T04:32:04.212551Z digest=sha256:7ade2c7733222b8d470e1281567c74e2358e20ce36a49e49b4a1f6ba0dd45d76

Observation 5bf1b4b3-cb01-4374-a6f3-20827eb3c85f · outbound

This paper cites Flow Matching for Generative Modeling.

MoWorld: A Flash World Model Flow Matching for Generative Modeling

Reference 73

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Observation 58acc8d9-91de-45d5-b8a2-e718a1c4a078 · outbound

This paper cites Ringattention with blockwise transformers for near-infinite context.

MoWorld: A Flash World Model Ringattention with blockwise transformers for near-infinite context

Reference 74

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source=pdf_text observed=2026-08-04T04:32:04.219396Z digest=sha256:065c1b90e2b7b29bd64cd2eb57a86dc9f417720402d7adb2a28a4a954a95c30c

Observation 9041da01-e6fc-4df4-b91a-9954539722c7 · outbound

This paper cites World model on million-length video and language with blockwise ringattention.

MoWorld: A Flash World Model World model on million-length video and language with blockwise ringattention

Reference 75

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source=pdf_text observed=2026-08-04T04:32:04.222859Z digest=sha256:a89dc8bd3bf5adad2ed628b2b01fbe31698ca1eda2593df0a80d1e454c4f1d77

Observation 546afd8c-3ae4-4d1a-9888-8d2779d48c28 · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

MoWorld: A Flash World Model VBench: Comprehensive benchmark suite for video generative models

Reference 76

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source=pdf_text observed=2026-08-04T04:32:04.225980Z digest=sha256:213692d8cedf4975b524cefd8d84c8e77e3cf9b5247ed3f892c7961b8f70af42

Observation 214c0e59-e511-4ec3-b814-cc1be0f8ba8f · outbound

This paper cites InternVLA-N1: An open dual-system navigation foundation model with learned latent plans, 2025.

MoWorld: A Flash World Model InternVLA-N1: An open dual-system navigation foundation model with learned latent plans, 2025

Reference 77

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source=pdf_text observed=2026-08-04T04:32:04.229222Z digest=sha256:f270d0653021bbcbf4cc379cecce5b98e662d389d4c702ae39ffa040374573f8

Observation 9b87de32-0397-4308-9ecc-271b85bc66f3 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

MoWorld: A Flash World Model 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 78

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source=pdf_text observed=2026-08-04T04:32:04.232509Z digest=sha256:d75d4d22827909aa9edb3f52e3bf25316742d5a18eb24790d27f7d96fc38edf6

Observation 2ff9f7ee-1835-44ea-bbcf-caa55181d802 · outbound

This paper cites Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields.

MoWorld: A Flash World Model Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 79

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source=pdf_text observed=2026-08-04T04:32:04.236004Z digest=sha256:0a0e418992913ab33a8c311d7f7d4534f8891c914a5f49c88731cb6a758dd197

Pith citing papers

No inbound Pith citation observations are available.