Thinking in Video: Can Video Generators Really Reason About the Real World? | Paper Citation Record

Observation c3b7b776-f939-4895-a031-237815ada913 · outbound

This paper cites Youtu-llm: Unlocking the native agentic potential for lightweight large language models, 2026.

Thinking in Video: Can Video Generators Really Reason About the Real World? Youtu-llm: Unlocking the native agentic potential for lightweight large language models, 2026

Reference 1

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Observation b268883f-6059-47e9-814b-78ba70662e6f · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Thinking in Video: Can Video Generators Really Reason About the Real World? Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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Observation 3362a094-430d-475b-b4a9-73d0ce640b1d · outbound

This paper cites Sora 2.https://openai.com/index/sora-2, 2025.

Thinking in Video: Can Video Generators Really Reason About the Real World? Sora 2.https://openai.com/index/sora-2, 2025

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Observation 92675ba5-d455-41dd-a856-07ad00e3b75d · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

Thinking in Video: Can Video Generators Really Reason About the Real World? HunyuanVideo 1.5 Technical Report

Reference 4

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Observation 6c2d970b-d489-4ddd-ba65-e5a47f9ce6df · outbound

This paper cites Veo 3.https://aistudio.google.com/models/veo-3, 2025.

Thinking in Video: Can Video Generators Really Reason About the Real World? Veo 3.https://aistudio.google.com/models/veo-3, 2025

Reference 5

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Observation ea11f366-8280-42aa-bc23-0f5cda6c1acc · outbound

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

Thinking in Video: Can Video Generators Really Reason About the Real World? Wan: Open and Advanced Large-Scale Video Generative Models

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Observation 41acdf30-f207-439f-a381-4e6b87a1b8b2 · outbound

This paper cites From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI.

Thinking in Video: Can Video Generators Really Reason About the Real World? From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI

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Observation 6f71d0e0-f3e8-46bc-a99b-beb811933f59 · outbound

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

Thinking in Video: Can Video Generators Really Reason About the Real World? World Simulation with Video Foundation Models for Physical AI

Reference 8

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Observation 183adc3c-406c-406f-9150-098284b56556 · outbound

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

Thinking in Video: Can Video Generators Really Reason About the Real World? Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:06.134736Z

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Observation 5920ead6-c2f8-48fb-9f7d-3462801e86f6 · outbound

This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

Thinking in Video: Can Video Generators Really Reason About the Real World? VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

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Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:06.272600Z

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Observation 28b0cf78-ac9b-4bb2-842d-17a99a13261c · outbound

This paper cites The past mistake is the future wisdom: Error-driven contrastive probability optimization for chinese spell checking.

Thinking in Video: Can Video Generators Really Reason About the Real World? The past mistake is the future wisdom: Error-driven contrastive probability optimization for chinese spell checking

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Observation bcf34f7e-8d07-4f11-b174-56cac699311d · outbound

This paper cites Think- ing with video: Video generation as a promising multimodal reasoning paradigm.

Thinking in Video: Can Video Generators Really Reason About the Real World? Think- ing with video: Video generation as a promising multimodal reasoning paradigm

Reference 12

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Observation 79b302f7-46fa-476c-9608-8aaf018b30bb · outbound

This paper cites Reasoning via video: The first evaluation of video models’ reasoning abilities through maze-solving tasks.arXiv preprint arXiv:2511.15065, 2025.

Thinking in Video: Can Video Generators Really Reason About the Real World? Reasoning via video: The first evaluation of video models’ reasoning abilities through maze-solving tasks.arXiv preprint arXiv:2511.15065, 2025

Reference 13

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Observation 2849c63f-b004-45be-a2a4-aea3c427aa1b · outbound

This paper cites Weave: Unleashing and benchmarking the in-context interleaved comprehension and generation.

Thinking in Video: Can Video Generators Really Reason About the Real World? Weave: Unleashing and benchmarking the in-context interleaved comprehension and generation

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Observation eb068e54-0837-4871-aaad-0c0c9c255731 · outbound

This paper cites Tivibench: Benchmarking think-in-video reasoning for video generative models.

Thinking in Video: Can Video Generators Really Reason About the Real World? Tivibench: Benchmarking think-in-video reasoning for video generative models

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Observation df8b54b6-e33e-4890-b847-28dae3b270fa · outbound

This paper cites Evaluating gemini robotics policies in a veo world simulator.arXiv preprint arXiv:2512.10675, 2025.

Thinking in Video: Can Video Generators Really Reason About the Real World? Evaluating gemini robotics policies in a veo world simulator.arXiv preprint arXiv:2512.10675, 2025

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Observation 340e3464-76b5-4ebb-8910-eeda2658bb8a · outbound

This paper cites Ggbench: A geometric generative reasoning benchmark for unified multimodal models.

Thinking in Video: Can Video Generators Really Reason About the Real World? Ggbench: A geometric generative reasoning benchmark for unified multimodal models

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Observation c588afa7-58f2-49db-bfbf-e07be89a9d08 · outbound

This paper cites Let’s think with images efficiently! an interleaved-modal chain-of-thought reasoning framework with dynamic and precise visual thoughts.

Thinking in Video: Can Video Generators Really Reason About the Real World? Let’s think with images efficiently! an interleaved-modal chain-of-thought reasoning framework with dynamic and precise visual thoughts

Reference 18

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Observation 7c54f164-3993-4179-9b48-475a6b2ee650 · outbound

This paper cites Physgen: Rigid-body physics-grounded image-to-video generation.

Thinking in Video: Can Video Generators Really Reason About the Real World? Physgen: Rigid-body physics-grounded image-to-video generation

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Observation 4e7da424-a68d-4c27-8ee9-6419c9091ffb · outbound

This paper cites Exploring the Evolution of Physics Cognition in Video Generation: A Survey.

Thinking in Video: Can Video Generators Really Reason About the Real World? Exploring the Evolution of Physics Cognition in Video Generation: A Survey

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Observation 2d7942be-06a5-4a8f-8624-74c3ee6f3621 · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29, 2016.

Thinking in Video: Can Video Generators Really Reason About the Real World? Improved techniques for training gans.Advances in neural information processing systems, 29, 2016

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Observation 4384fc51-e1a3-477b-8302-9fe4f393075b · outbound

This paper cites FVD: A new metric for video generation,.

Thinking in Video: Can Video Generators Really Reason About the Real World? FVD: A new metric for video generation,

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Observation 4bbd32dc-1b98-4c46-bbe5-53e1ca6f2694 · outbound

This paper cites On the content bias in fréchet video distance.

Thinking in Video: Can Video Generators Really Reason About the Real World? On the content bias in fréchet video distance

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Observation 0993dd37-f5d0-4ae7-a738-2c0c41d2a414 · outbound

This paper cites The Essential Role of Causality in Foundation World Models for Embodied AI.

Thinking in Video: Can Video Generators Really Reason About the Real World? The Essential Role of Causality in Foundation World Models for Embodied AI

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Observation f4d139b7-71ad-4e7d-a290-2d3d1a41e8fd · outbound

This paper cites Diffusion art or digital forgery? investigating data replication in diffusion models.

Thinking in Video: Can Video Generators Really Reason About the Real World? Diffusion art or digital forgery? investigating data replication in diffusion models

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Observation 8d3fbe95-ac2c-4864-9de3-afdfa3d18455 · outbound

This paper cites an unresolved cited work.

Thinking in Video: Can Video Generators Really Reason About the Real World? Unresolved cited work

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Observation 346eedb5-5d52-47ae-8da8-8821aa4496aa · outbound

This paper cites Do generative video models understand physical principles? InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 948–958, 2026.

Thinking in Video: Can Video Generators Really Reason About the Real World? Do generative video models understand physical principles? InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 948–958, 2026

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Observation 681bab52-da7f-4f80-8208-920d355eba84 · outbound

This paper cites RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models.

Thinking in Video: Can Video Generators Really Reason About the Real World? RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models

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Observation 7cfdd990-47cb-419e-9141-1f8aba064fdb · outbound

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

Thinking in Video: Can Video Generators Really Reason About the Real World? Vbench: Comprehensive benchmark suite for video generative models

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Observation b03da153-1e28-4dde-80d4-d80e60feac85 · outbound

This paper cites Evalcrafter: Benchmarking and evaluating large video generation models.

Thinking in Video: Can Video Generators Really Reason About the Real World? Evalcrafter: Benchmarking and evaluating large video generation models

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Observation d16d4994-edc7-486f-8ca0-c70b18120e6d · outbound

This paper cites Video generation models as world simulators.OpenAI Blog, 1(8):1, 2024.

Thinking in Video: Can Video Generators Really Reason About the Real World? Video generation models as world simulators.OpenAI Blog, 1(8):1, 2024

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Thinking in Video: Can Video Generators Really Reason About the Real World? What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425, 2025

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Observation f1606849-161b-4dde-92ac-bcd5521a617c · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? T2v-compbench: A comprehensive benchmark for compositional text-to- video generation

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Observation 81b672e5-e006-454e-9c39-3baadfdbd46b · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Vibe: A text-to-video benchmark for evaluating hal- lucination in large multimodal models

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Observation 6005acd2-3838-4655-b5b2-f94ef9c5749b · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? World Models

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Thinking in Video: Can Video Generators Really Reason About the Real World? A path towards autonomous machine intelligence version 0.9

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Observation 1fe3a9cc-1e28-4c26-bd81-91db74b9caa6 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability

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Observation bdc30d75-403e-4271-bb63-5728bbb293b0 · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

Thinking in Video: Can Video Generators Really Reason About the Real World? Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

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Observation 6d7ff8a3-ca4f-4be4-a1bd-f9fb1fdcd440 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? The sound of water: Inferring physical properties from pouring liquids

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Observation e1672087-e3a2-4a30-8032-89efe9002863 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Physion: Evaluating Physical Prediction from Vision in Humans and Machines

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Observation 56746adb-4ee7-424c-b99f-fe235f2ce35d · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? TLD: A Vehicle Tail Light signal Dataset and Benchmark

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Observation 3119fe02-6076-421d-8623-8fb47675dd61 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? The Kinetics Human Action Video Dataset

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Observation 0f149436-6454-4854-ba04-5fbd4a2ec778 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Ego4d: Around the world in 3,000 hours of egocentric video

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Observation 0c291af9-b8e3-4bc6-b573-09e9e32aa427 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Gemma 3 Technical Report

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Thinking in Video: Can Video Generators Really Reason About the Real World? Robust speech recognition via large-scale weak supervision

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Thinking in Video: Can Video Generators Really Reason About the Real World? Qwen3-VL Technical Report

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Thinking in Video: Can Video Generators Really Reason About the Real World? OpenAI GPT-5 System Card

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Thinking in Video: Can Video Generators Really Reason About the Real World? Scaling zero-shot reference-to-video generation.arXiv preprint, 2025

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Observation 4917b50f-6f35-4b29-a0d0-58d904216787 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

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Observation f2523d10-3c97-4cc1-bb65-31af0cb879ce · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212, 2025

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Observation 5f57e935-e817-4ec8-8ad7-79753866fcaa · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling

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Observation 349359b0-731f-4220-8f57-5b05ee3c02d4 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? V-reasonbench: Toward unified reasoning benchmark suite for video generation models, 2025

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Observation 27ab5293-97ed-488f-9cb7-7bcc0a468d3a · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Vitcot: Video-text interleaved chain-of-thought for boosting video understanding in large language models

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Observation 2fc1c363-0dc2-4bfa-a372-cdecc44e767f · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Ruler-bench: Probing rule-based reasoning abilities of next-level video generation models for vision foundation intelligence, 2025

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Observation 542dec33-ec6a-4828-b0a5-1c969dd8ed89 · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? Can world simulators reason? gen-vire: A generative visual reasoning benchmark,

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Observation 8d8fd854-c9e1-49ed-a6c3-6e3595abf3dc · outbound

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Thinking in Video: Can Video Generators Really Reason About the Real World? CCHall: A novel benchmark for joint cross-lingual and cross- modal hallucinations detection in large language models

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This paper cites Large language models meet nlp: A survey.Frontiers of Computer Science, 20(11):2011361, 2026.

Thinking in Video: Can Video Generators Really Reason About the Real World? Large language models meet nlp: A survey.Frontiers of Computer Science, 20(11):2011361, 2026

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Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.421131Z

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Observation dcc1aacd-a901-45d8-a871-ea3b0a1777c7 · outbound

This paper cites Are video models ready as zero-shot reasoners? an empirical study with the mme-cof benchmark.arXiv preprint arXiv:2510.26802, 2025.

Thinking in Video: Can Video Generators Really Reason About the Real World? Are video models ready as zero-shot reasoners? an empirical study with the mme-cof benchmark.arXiv preprint arXiv:2510.26802, 2025

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.478604Z

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Observation ba003690-3d5e-4339-81a0-d116a936937c · outbound

This paper cites ISBN 979-8-89176-251-0.

Thinking in Video: Can Video Generators Really Reason About the Real World? ISBN 979-8-89176-251-0

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.365314Z

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Observation 30cf12d7-beed-4d12-9caa-a1ba8ba98eb2 · outbound

This paper cites Latent Visual Cache for Video Reasoning.

Thinking in Video: Can Video Generators Really Reason About the Real World? Latent Visual Cache for Video Reasoning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.597841Z

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Observation e985d63c-cca1-4f9b-9f41-16b1dcd9e458 · outbound

This paper cites Mmgr: Multi-modal generative reasoning.arXiv preprint arXiv:2512.14691, 2025.

Thinking in Video: Can Video Generators Really Reason About the Real World? Mmgr: Multi-modal generative reasoning.arXiv preprint arXiv:2512.14691, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.651779Z

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Observation 38e2166c-e519-4414-a023-a8ccac217909 · outbound

This paper cites Video models start to solve chess, maze, sudoku, mental rotation, and raven’matrices.arXiv preprint arXiv:2512.05969, 2025.

Thinking in Video: Can Video Generators Really Reason About the Real World? Video models start to solve chess, maze, sudoku, mental rotation, and raven’matrices.arXiv preprint arXiv:2512.05969, 2025

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.540223Z

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Observation 307fd135-8114-41b9-a092-782e9b338d94 · outbound

This paper cites Beyond the last frame: Process-aware evaluation for generative video reasoning, 2026.

Thinking in Video: Can Video Generators Really Reason About the Real World? Beyond the last frame: Process-aware evaluation for generative video reasoning, 2026

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.750039Z

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Observation 605f4c84-aa7a-48b6-9c5d-73b0fd3f4a94 · outbound

This paper cites an unresolved cited work.

Thinking in Video: Can Video Generators Really Reason About the Real World? Unresolved cited work

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:08.331772Z

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Observation 179ec37e-e83d-4301-9e90-1933f2fb7440 · outbound

This paper cites an unresolved cited work.

Thinking in Video: Can Video Generators Really Reason About the Real World? Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.188710Z

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