Paper Citation Record · LEDGER

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

As of 21 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 6 inbound Pith citation observations for arXiv:2501.09781.

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

pith.paper-citation-record.v1
2501.09781 v2

Coverage vector

measured 75 of 75 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-10T19:49:20.143466Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

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measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:30.073837Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:12:14.462558Z

Reference resolution

75 of 75 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e41be6c8-24c6-4f54-a4ee-8221fa64521e · outbound

This paper cites GPT-4 Technical Report.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos GPT-4 Technical Report

Reference 1

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Observation a8b8759c-ab4d-496b-b07d-4baae7c2c10a · outbound

This paper cites PaLM 2 Technical Report.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos PaLM 2 Technical Report

Reference 2

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Observation f58e48ca-8e25-4261-a96b-1cb45f9f70d9 · outbound

This paper cites Qwen Technical Report.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Qwen Technical Report

Reference 3

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Observation 515a1532-fd31-431b-a2cb-601d882ae4cc · outbound

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

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

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Observation 881021ae-2ff1-4ff5-b603-b94af3f0ca44 · outbound

This paper cites Knowledge Representation and Rea- soning.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Knowledge Representation and Rea- soning

Reference 5

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Observation 9caf91c9-d8cd-45cc-aa48-69ea44b2f68b · outbound

This paper cites Video generation models as world simulators.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Video generation models as world simulators

Reference 6

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Observation 5cce4b29-cded-4205-a80f-5008c7a0d4d2 · outbound

This paper cites Lan- guage models are few-shot learners.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Lan- guage models are few-shot learners

Reference 7

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Observation 28597d7f-e4c5-43a4-b6bb-fc51de01bf32 · outbound

This paper cites Ge- nie: Generative interactive environments.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Ge- nie: Generative interactive environments

Reference 8

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Observation 1fe0800f-a28e-4f72-b322-e1adcd63bbad · outbound

This paper cites Learning by imi- tation: A hierarchical approach.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Learning by imi- tation: A hierarchical approach

Reference 9

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Observation a43855a2-f1f9-49aa-84bb-6782bbf0529a · outbound

This paper cites Efficient se- quential decision making with large language models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Efficient se- quential decision making with large language models

Reference 10

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Observation a0454179-a608-4425-a70e-548a0e3195f5 · outbound

This paper cites Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment

Reference 11

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Observation 096e9a8a-fed9-4d04-aba3-bfb6c37b2b81 · outbound

This paper cites Generative pre- training from pixels.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Generative pre- training from pixels

Reference 12

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Observation 3fc5a54f-7a8e-4615-af5a-294ca7fe3acb · outbound

This paper cites Palm: Scaling language modeling with pathways.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Palm: Scaling language modeling with pathways

Reference 13

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Observation e6e2454e-38e7-486b-9a09-265d228d529b · outbound

This paper cites Whole-history rating: A bayesian rating sys- tem for players of time-varying strength.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Whole-history rating: A bayesian rating sys- tem for players of time-varying strength

Reference 14

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Observation 1ac38fb9-afd7-480a-82e9-3512f634f22d · outbound

This paper cites Tenenbaum, Dale Schuurmans, and Pieter Abbeel.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Tenenbaum, Dale Schuurmans, and Pieter Abbeel

Reference 15

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This paper cites Tenenbaum, Dale Schuurmans, and Pieter Abbeel.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Tenenbaum, Dale Schuurmans, and Pieter Abbeel

Reference 16

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Observation 1321d493-c8c3-46ca-a30c-f058ff72495d · outbound

This paper cites Determinants of LLM-assisted Decision-Making.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Determinants of LLM-assisted Decision-Making

Reference 17

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Observation 31f74718-c0c3-4cd6-8fba-fc7c8e289530 · outbound

This paper cites Chessgpt: Bridging policy learning and language modeling.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Chessgpt: Bridging policy learning and language modeling

Reference 18

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Observation ec04f2ad-f6b9-4cdd-a0c0-eeb80af971b3 · outbound

This paper cites Text with knowledge graph aug- mented transformer for video captioning.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Text with knowledge graph aug- mented transformer for video captioning

Reference 19

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Observation c305ee51-bb62-40cb-bf58-76653770bdd1 · outbound

This paper cites Context-guided spatio-temporal video grounding.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Context-guided spatio-temporal video grounding

Reference 20

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This paper cites I2v-adapter: A general image-to-video adapter for diffusion models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos I2v-adapter: A general image-to-video adapter for diffusion models

Reference 21

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Observation d38394b7-6777-4c9c-b638-0f37d3df3296 · outbound

This paper cites Rose: Revolutionizing open-set dense segmentation with patch-wise perceptual large multimodal model, 2024.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Rose: Revolutionizing open-set dense segmentation with patch-wise perceptual large multimodal model, 2024

Reference 22

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Observation d351d8bb-4310-4a0b-879d-69e4d1b00f30 · outbound

This paper cites Teaching Large Language Models to Reason with Reinforcement Learning.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Teaching Large Language Models to Reason with Reinforcement Learning

Reference 23

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Observation 4ebfae70-2795-4484-9dbc-d0a891c0ffd1 · outbound

This paper cites Denoising dif- fusion probabilistic models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Denoising dif- fusion probabilistic models

Reference 24

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Observation 33090167-de52-4f8d-a08f-61d76549a7a7 · outbound

This paper cites Social learning: an in- troduction to mechanisms, methods, and models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Social learning: an in- troduction to mechanisms, methods, and models

Reference 25

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Observation 1333289f-afcb-4695-9766-ffaa06073270 · outbound

This paper cites Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents

Reference 26

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This paper cites Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents

Reference 27

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VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Unresolved cited work

Reference 28

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Observation 71fae37c-8ad4-47f0-a7c6-5ae9db03a36e · outbound

This paper cites Mistral 7B.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Mistral 7B

Reference 29

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This paper cites Collaborative vision-text rep- resentation optimizing for open-vocabulary segmentation,.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Collaborative vision-text rep- resentation optimizing for open-vocabulary segmentation,

Reference 30

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Observation ccdbb9a3-d273-41fe-8c0b-a29d4b9ebb12 · outbound

This paper cites Auto-Encoding Variational Bayes.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Auto-Encoding Variational Bayes

Reference 31

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This paper cites Large language models are zero-shot reasoners.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Large language models are zero-shot reasoners

Reference 32

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This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 33

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This paper cites Umap: Uniform manifold approximation and projection.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Umap: Uniform manifold approximation and projection

Reference 34

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This paper cites Emergent world representations: Exploring a sequence model trained on a synthetic task.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Emergent world representations: Exploring a sequence model trained on a synthetic task

Reference 35

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This paper cites DeLLMa: Decision Making Under Uncertainty with Large Language Models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos DeLLMa: Decision Making Under Uncertainty with Large Language Models

Reference 36

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This paper cites Decoupled weight decay regularization, 2019.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Decoupled weight decay regularization, 2019

Reference 37

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This paper cites Language conditioned imitation learning over unstructured data, 2021.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Language conditioned imitation learning over unstructured data, 2021

Reference 38

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This paper cites What matters in language conditioned robotic imitation learning over unstructured data, 2022.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos What matters in language conditioned robotic imitation learning over unstructured data, 2022

Reference 39

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This paper cites Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manipu- lation tasks.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manipu- lation tasks

Reference 40

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This paper cites Finite scalar quantization: Vq-vae made simple.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Finite scalar quantization: Vq-vae made simple

Reference 41

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VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Online-go

Reference 42

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This paper cites Training language models to follow instructions with human feedback.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Training language models to follow instructions with human feedback

Reference 43

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VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Scalable diffusion models with transformers

Reference 44

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This paper cites Rio: A benchmark for reasoning intention-oriented objects in open environments,.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Rio: A benchmark for reasoning intention-oriented objects in open environments,

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This paper cites Chatvtg: Video temporal grounding via chat with video dialogue large language models, 2024.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Chatvtg: Video temporal grounding via chat with video dialogue large language models, 2024

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This paper cites Pixellm: Pixel reasoning with large multimodal model, 2024.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Pixellm: Pixel reasoning with large multimodal model, 2024

Reference 47

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This paper cites Lewis, Joel Veness, and Tim Genewein.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Lewis, Joel Veness, and Tim Genewein

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This paper cites Artificial intelligence: a modern approach.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Artificial intelligence: a modern approach

Reference 49

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This paper cites Learning to Act without Actions.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Learning to Act without Actions

Reference 50

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This paper cites Large Language Models are Learnable Planners for Long-Term Recommendation.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Large Language Models are Learnable Planners for Long-Term Recommendation

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This paper cites Mastering the game of go with deep neural networks and tree search.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Mastering the game of go with deep neural networks and tree search

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Observation 5a3e945f-d0d1-43bf-a353-310b7b133431 · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Llm-planner: Few-shot grounded planning for embodied agents with large language models

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This paper cites Score-based generative modeling through stochastic differential equa- tions.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Score-based generative modeling through stochastic differential equa- tions

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

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Gemini: A Family of Highly Capable Multimodal Models

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This paper cites Llama: Open and efficient foundation lan- guage models, 2023.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Llama: Open and efficient foundation lan- guage models, 2023

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VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Neural discrete representation learning

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VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Neural discrete representation learning

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This paper cites Attention is all you need.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Attention is all you need

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This paper cites World to code: Multi- modal data generation via self-instructed compositional cap- tioning and filtering.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos World to code: Multi- modal data generation via self-instructed compositional cap- tioning and filtering

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This paper cites Images speak in images: A generalist painter for in-context visual learning.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Images speak in images: A generalist painter for in-context visual learning

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This paper cites Describe, explain, plan and select: interactive planning with large lan- guage models enables open-world multi-task agents.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Describe, explain, plan and select: interactive planning with large lan- guage models enables open-world multi-task agents

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This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Chain-of-thought prompting elicits reasoning in large lan- guage models

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This paper cites Conformity to cultural norms of tool use in chimpanzees.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Conformity to cultural norms of tool use in chimpanzees

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This paper cites Accelerating Self-Play Learning in Go.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Accelerating Self-Play Learning in Go

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This paper cites Unleashing large-scale video generative pre-training for visual robot manipulation, 2023.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Unleashing large-scale video generative pre-training for visual robot manipulation, 2023

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This paper cites Qwen2 Technical Report.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Qwen2 Technical Report

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VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Video as the New Language for Real-World Decision Making

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

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

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This paper cites Tree of thoughts: Deliberate problem solving with large language models.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Tree of thoughts: Deliberate problem solving with large language models

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This paper cites Latent Action Pretraining from Videos.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Latent Action Pretraining from Videos

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This paper cites Magvit: Masked generative video transformer.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Magvit: Masked generative video transformer

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:49:20.484103Z

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This paper cites Gundavarapu, Luca Ver- sari, Kihyuk Sohn, David Minnen, Yong Cheng, Vigh- nesh Birodkar, Agrim Gupta, Xiuye Gu, Alexander G.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Gundavarapu, Luca Ver- sari, Kihyuk Sohn, David Minnen, Yong Cheng, Vigh- nesh Birodkar, Agrim Gupta, Xiuye Gu, Alexander G

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Observation 4a54c6a8-65d1-4f45-b9b5-e850d0fd7f98 · outbound

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VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Advancing LLM Reasoning Generalists with Preference Trees

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This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos ControlVideo: Training-free Controllable Text-to-Video Generation

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Observation e0e03382-e30f-4da4-93b7-ef5ff2975789 · inbound

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots cites this paper.

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

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Video-GPT via Next Clip Diffusion VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

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DreamGen: Unlocking Generalization in Robot Learning through Video World Models VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

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VGR: Visual Grounded Reasoning VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

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Observation 5f6028fb-1b20-4a91-8432-462ded9e3bd2 · inbound

LaVieID: Local Autoregressive Diffusion Transformers for Identity-Preserving Video Creation cites this paper.

LaVieID: Local Autoregressive Diffusion Transformers for Identity-Preserving Video Creation VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

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