Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:41:59.785064Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 20 inbound Pith citation observations for arXiv:2411.08380.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:41:59.785064Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:30:42.570671Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T04:09:35.541046Z
89 of 89 outbound references displayed
External citation measurements
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Observation ade03dd6-589d-4841-93ba-acd5d7f4c032 · outbound
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Self-supervised object detection from egocentric videos
Reference 1
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Observation ac0927ea-dfe4-4f37-bd0f-5fffbce5b5a1 · outbound
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Aigcbench: Comprehensive evaluation of image-to-video content generated by ai
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Ego4d: Around the world in 3,000 hours of egocentric video
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Jawahar, Richard Newcombe, Hyun Soo Park, James M
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Observation eb6a4b20-239b-44ea-b928-c8311a6533f0 · outbound
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Mastering Diverse Domains through World Models
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation CameraCtrl: Enabling Camera Control for Text-to-Video Generation
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Denoising diffu- sion probabilistic models
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation GAIA-1: A Generative World Model for Autonomous Driving
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation MotionMaster: Training-free Camera Motion Transfer For Video Generation
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Observation 719501f7-84b7-415b-832c-be6a1ecf5eb7 · outbound
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
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Observation bfb2d091-9eda-4778-a294-1e41161649b1 · outbound
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Vbench: Comprehensive bench- mark suite for video generative models
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Elucidating the design space of diffusion-based generative models
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Cross-view exocentric to egocentric video synthe- sis
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Latte: Latent Diffusion Transformer for Video Generation
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation What can a cook in italy teach a mechanic in in- dia? action recognition generalisation over scenarios and lo- cations
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EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
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