Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:15:07.491502Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2412.04929.
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 2026-08-11T21:15:07.491502Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation cb5d69f6-47bc-48cf-bb30-95f655809b18 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Slamp: Stochastic latent appearance and motion prediction
Reference 1
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction FitVid: Overfitting in Pixel-Level Video Prediction
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Reference 3
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Disentangling multiple features in video sequences using gaussian processes in variational autoencoders, 2020
Reference 4
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Hierarchical video prediction using re- lational layouts for human-object interactions
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Deep video generation, prediction and completion of human action sequences
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Improved Conditional VRNNs for Video Prediction
Reference 8
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Latent structured models for human pose estimation
Reference 9
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Adversarial Video Generation on Complex Datasets
Reference 10
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Video Ladder Networks
Reference 11
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Efficient video prediction via sparsely conditioned flow matching
Reference 12
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Observation eacf2c7d-86f4-496b-9eb0-60b9edd22fe7 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Reference 13
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Unresolved cited work
Reference 14
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Observation e9b8c0ab-922b-4126-982f-b0294b8df830 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Stochastic video generation with a learned prior, 2018
Reference 15
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Observation e1786f09-ade7-41a8-984f-b36f44cad9f0 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Diffusion models beat gans on image synthesis.Advances in Neural Information Processing Systems, 34, 2021
Reference 16
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Lee, and Sergey Levine
Reference 17
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Reference 18
Source-reported events for the cited work
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Geodict: an integrated gazetteer
Reference 19
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Stochastic latent residual video prediction
Reference 20
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Accurate grid keypoint learning for efficient video prediction
Reference 21
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio
Reference 22
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Denoising diffu- sion probabilistic models
Reference 23
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Unresolved cited work
Reference 24
Source-reported events for the cited work
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Observation 7242ba5a-7803-4b4d-8112-a8c8860c51be · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Diffusion models for video prediction and infilling, 2022
Reference 25
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Auto-Encoding Variational Bayes
Reference 26
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Ccvs: context-aware controllable video synthesis
Reference 27
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Stochastic Adversarial Video Prediction
Reference 28
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Nuwa-infinity: Autoregressive over autoregressive generation for infinite visual synthesis
Reference 29
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Transformation-based Adversarial Video Prediction on Large-Scale Data
Reference 30
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Unsupervised learning of object structure and dynamics from videos
Reference 31
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Folded Recurrent Neural Networks for Future Video Prediction
Reference 32
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Latent Video Transformer
Reference 33
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Valorcarn-tetis: Terms extracted with biotex
Reference 34
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Recognizing actions using object states
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Reference 36
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Diverse Video Generation
Reference 37
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Advanced video modeling techniques for generation and enhancement tasks
Reference 38
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Diverse Video Generation using a Gaussian Process Trigger
Reference 39
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Video predic- tion by modeling videos as continuous multi-dimensional processes
Reference 40
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Video dynamics prior: An internal learning approach for robust video enhancements
Reference 41
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Video decomposition prior: Editing videos layer by layer
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Reference 44
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Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Ucf101: A dataset of 101 human actions classes from videos in the wild, 2012
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Observation 4f2444f9-704c-4329-96c1-606a97fa461a · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Unsupervised learning of video representations using lstms
Reference 46
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Observation 8442c355-bcbc-4a19-8cc3-68e5177501da · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction To- wards accurate generative models of video: A new metric and challenges, 2018
Reference 47
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Observation 19bc4ff0-74cd-40b3-80f2-8648b452c60e · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Decomposing Motion and Content for Natural Video Sequence Prediction
Reference 48
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Observation afb4ad6d-f2cf-4b54-9095-9f6b203432df · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Learning to generate long-term future via hierarchical prediction, 2017
Reference 49
Source-reported events for the cited work
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Observation d0855b85-232c-47b6-9d71-a265ea7e85e0 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Le, and Honglak Lee
Reference 50
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Observation c67d334e-bdcd-4a51-b8ca-e9f26ca9002f · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Mcvd-masked conditional video diffusion for prediction, gen- eration, and interpolation
Reference 51
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Observation c6ab281f-7be5-445c-a6f4-fb5b164defea · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Patch to the future: Unsupervised visual prediction
Reference 52
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Observation 27af64d1-1d58-443c-9bf6-d19f3f036969 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction The pose knows: Video forecasting by generating pose futures
Reference 53
Source-reported events for the cited work
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Observation 9234fdd1-06ba-4a3b-bf77-0e824425e5d1 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Eidetic 3d LSTM: A model for video prediction and beyond
Reference 54
Source-reported events for the cited work
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Observation 6e92218b-1052-458c-91c1-f24a87502f5d · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Hierarchical long-term video prediction without super- vision, 2018
Reference 55
Source-reported events for the cited work
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Observation a319676c-44ff-46dd-9ce0-f27cd60e3a03 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction VideoGPT: Video Generation using VQ-VAE and Transformers
Reference 56
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Observation 8bdc8d78-1edf-4432-85c2-47250b3aa204 · outbound
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction A data-driven approach for event prediction
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
No inbound Pith citation observations are available.