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Paper Citation Record · LEDGER

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction

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.

pith.paper-citation-record.v1
2412.04929 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:15:07.491502Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb5d69f6-47bc-48cf-bb30-95f655809b18 · outbound

This paper cites Slamp: Stochastic latent appearance and motion prediction.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5ec36a95-9b70-4d7c-9087-5e50c676d990 · outbound

This paper cites FitVid: Overfitting in Pixel-Level Video Prediction.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction FitVid: Overfitting in Pixel-Level Video Prediction

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ce397fd-ccfe-4bf6-820f-37dcc0e87e5b · outbound

This paper cites Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.

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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source=pdf_text observed=2026-08-11T21:15:07.342569Z digest=sha256:a7efdf6e17c4ffc53ac91357dae7707a75e8e44281eab0db8f4342bb5f3616d8

Observation e4a6f731-612a-48a2-9c29-f96b55538384 · outbound

This paper cites Disentangling multiple features in video sequences using gaussian processes in variational autoencoders, 2020.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fc1ec92c-c5a5-46e1-974f-f588fb187e48 · outbound

This paper cites Hierarchical video prediction using re- lational layouts for human-object interactions.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Hierarchical video prediction using re- lational layouts for human-object interactions

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b3d3a189-3bc4-4933-aabe-ea195726649f · outbound

This paper cites Deep video generation, prediction and completion of human action sequences.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Deep video generation, prediction and completion of human action sequences

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 98eb20be-44ba-46f6-aca6-b8f6abaeb247 · outbound

This paper cites Im- proved conditional vrnns for video prediction.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Im- proved conditional vrnns for video prediction

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e036d5da-f097-47ff-a441-efd27fe95249 · outbound

This paper cites Improved Conditional VRNNs for Video Prediction.

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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Observation f0310e41-4b56-4a6d-bee9-41c61576ed87 · outbound

This paper cites Latent structured models for human pose estimation.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9980d1d9-9af9-433d-9ae5-2c72af83bc16 · outbound

This paper cites Adversarial Video Generation on Complex Datasets.

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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Observation 744c3096-c4dc-4269-8e7e-1c5c58b0fd27 · outbound

This paper cites Video Ladder Networks.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Video Ladder Networks

Reference 11

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source=pdf_text observed=2026-08-11T21:15:07.364922Z digest=sha256:a9b9ab4afd8b73f510371b52b5fe9a2bd76880a4e96293691e4b8bfbe528f7c9

Observation 7de85026-fe8c-454c-9518-855f3d76c1ee · outbound

This paper cites Efficient video prediction via sparsely conditioned flow matching.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation eacf2c7d-86f4-496b-9eb0-60b9edd22fe7 · outbound

This paper cites Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration.

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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Observation 0d993695-6318-449f-baaa-9a533d97a56c · outbound

This paper cites an unresolved cited work.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e9b8c0ab-922b-4126-982f-b0294b8df830 · outbound

This paper cites Stochastic video generation with a learned prior, 2018.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.375099Z digest=sha256:a8f12d0155d2cb18d93fdb480d581a08ebfbe5e93ee16d4f97d5a143d97094cc

Observation e1786f09-ade7-41a8-984f-b36f44cad9f0 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in Neural Information Processing Systems, 34, 2021.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation aa2a9062-ef16-440e-ab38-61123b011e0d · outbound

This paper cites Lee, and Sergey Levine.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Lee, and Sergey Levine

Reference 17

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b89d39de-0671-4f01-bd33-13263b8c58ee · outbound

This paper cites Elsayed, A.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Elsayed, A

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 05130741-8145-418a-bf43-a73539b44a39 · outbound

This paper cites Geodict: an integrated gazetteer.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Geodict: an integrated gazetteer

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 06329801-b1bf-491c-95e1-76cf5deac1af · outbound

This paper cites Stochastic latent residual video prediction.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Stochastic latent residual video prediction

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b5d3871c-9948-435c-9704-e6374020e9a3 · outbound

This paper cites Accurate grid keypoint learning for efficient video prediction.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation dcd16e3e-a604-4b4c-afa8-6aaa2827095e · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

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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Unavailable: canonical work link unavailable.

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Observation c3cd270c-6eee-4fcd-951a-d5e32211d4e1 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Denoising diffu- sion probabilistic models

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 85dd213f-bbec-4590-94b8-9db822202601 · outbound

This paper cites an unresolved cited work.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7242ba5a-7803-4b4d-8112-a8c8860c51be · outbound

This paper cites Diffusion models for video prediction and infilling, 2022.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2dc41e13-9b65-4cc0-b0cd-6b73ce99d969 · outbound

This paper cites Auto-Encoding Variational Bayes.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Auto-Encoding Variational Bayes

Reference 26

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Observation 9e7a41c4-1be4-4f8f-a96f-c20f4a1d0ebf · outbound

This paper cites Ccvs: context-aware controllable video synthesis.

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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raw_fallback, observed 2026-08-11T21:15:07.820553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 449a12fb-9582-4f23-aa10-f73a4ed6ba01 · outbound

This paper cites Stochastic Adversarial Video Prediction.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Stochastic Adversarial Video Prediction

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.410475Z digest=sha256:f9b1ebd3bfaa38e13430e1dc5cb3e4cf73fb6912f8a5ba94b5e18432e65b6eaa

Observation de571770-52f4-4d14-afa4-b1dd369f4288 · outbound

This paper cites Nuwa-infinity: Autoregressive over autoregressive generation for infinite visual synthesis.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.413582Z digest=sha256:b0ee9badb047a784f0a8e3a922b31221dcfd3f1808e984ff042c196bc1f20c6f

Observation a375396b-45a0-4efd-8a97-8820667b8c82 · outbound

This paper cites Transformation-based Adversarial Video Prediction on Large-Scale Data.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.416678Z digest=sha256:f8f323962e7aca373382875e14269c3ec312defbf633c3d933f4144c44b1e650

Observation 30db7bec-20c5-4550-8f8d-35b32a8ebac8 · outbound

This paper cites Unsupervised learning of object structure and dynamics from videos.

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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raw_fallback, observed 2026-08-11T21:15:07.802051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.420207Z digest=sha256:ed859f9fcee62ec2ca1fd181614d6933c4b1318d1dcaf430358740f1fc1c4529

Observation 3fbe6b6c-2c31-4e49-977f-f7eda18efdc1 · outbound

This paper cites Folded Recurrent Neural Networks for Future Video Prediction.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.422737Z digest=sha256:cbba1125b49f8b074b1661f94087effdd8e8e7b8b81beda098b92cde0b5e1bbf

Observation be83db61-6017-40da-8e01-206a01c0a131 · outbound

This paper cites Latent Video Transformer.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Latent Video Transformer

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.425376Z digest=sha256:360d0b4b1a66a88c29328457cdb7b0f6624d7823ba5c8de165607804317cb306

Observation 9e8163ae-8bd5-4963-b7d0-d9762f401e5c · outbound

This paper cites Valorcarn-tetis: Terms extracted with biotex.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.428231Z digest=sha256:f1f602bcb252c7af2370aee68f40d205c72d2171c4a189d6346ec2ccf1431d39

Observation ccd197a9-2237-4165-8c79-a53746d843c8 · outbound

This paper cites Recognizing actions using object states.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Recognizing actions using object states

Reference 35

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raw_fallback, observed 2026-08-11T21:15:07.786882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.430612Z digest=sha256:a94bc8c5c72d901ff468569fbaeeecb3d4f70fd5303346b1933c5dd37b1e52aa

Observation 897538e8-b9e0-4ffb-aa85-69bc6efa2a18 · outbound

This paper cites Schuldt, I.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Schuldt, I

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.779718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.433488Z digest=sha256:e18923145a2226782fcacca0a03f07fa5c3fa253987b23fec0d0ad24dbaf3f98

Observation c3a3fbc0-2e01-4e31-bfe1-8b1776840c4b · outbound

This paper cites Diverse Video Generation.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Diverse Video Generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.772508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.436331Z digest=sha256:b6da70773bed02d69836786d394e1c40d33107d7a19cac6f4790262a34afde97

Observation f42dfb17-0bc0-4b94-823a-b418588bc88b · outbound

This paper cites Advanced video modeling techniques for generation and enhancement tasks.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Advanced video modeling techniques for generation and enhancement tasks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.765352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.439169Z digest=sha256:4e33b8efe7289d088a55b27e0f1b0c8d9bed3e7c22b0bbf004858aa76cdd6b28

Observation 2bcea152-00e2-48c0-a5da-760b49dabea3 · outbound

This paper cites Diverse Video Generation using a Gaussian Process Trigger.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Diverse Video Generation using a Gaussian Process Trigger

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T21:15:07.441678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.441678Z digest=sha256:523c68db61145eaa268a61a42b2309c6b441ad13b8984d19f40f3119cf0ee4f7

Observation aa13b548-dddd-4639-9031-61390339e17b · outbound

This paper cites Video predic- tion by modeling videos as continuous multi-dimensional processes.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.757131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.444228Z digest=sha256:419517b7333af8cad991c888032688cff570edfa0ebac6d5b1ff61876fbb47cb

Observation 8f51b6e2-1893-4218-ab13-6aedf937d800 · outbound

This paper cites Video dynamics prior: An internal learning approach for robust video enhancements.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.749461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.447059Z digest=sha256:98d77bf243d9b567488caf817781aed9464f2e8a21daf1f7681cc4b09716302a

Observation 0528be59-a27b-4da6-808e-8d8c85ee78f6 · outbound

This paper cites Video decomposition prior: Editing videos layer by layer.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Video decomposition prior: Editing videos layer by layer

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.741916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.449565Z digest=sha256:67f07467c304a679b23875ffd7cf81e9fa3ec01e56b062c538ae7ac607d79ba2

Observation b18aa5dc-cc5b-4acd-bcb1-14bdc575648c · outbound

This paper cites Denois- ing diffusion implicit models.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Denois- ing diffusion implicit models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.734289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.452308Z digest=sha256:18e4a20b70549dd190fe40d5ba2fc8d4a06650400326a6cd7f63f78c9c7af4e3

Observation ea83335c-f85a-49b9-81c8-12df7bcf6e64 · outbound

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

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Score-based generative modeling through stochastic differential equations

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.725751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.454804Z digest=sha256:4a81769c0b8a5ce87efec07d6175a7ae4b8b77adb436d46b05103f62291c42e0

Observation 6b0f5cfe-5bee-4d1d-838b-a42043963204 · outbound

This paper cites Ucf101: A dataset of 101 human actions classes from videos in the wild, 2012.

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

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.716570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.457337Z digest=sha256:2eefa704f06b25df4065f0d47906291103525f62bf5410288acb8ac3b7287243

Observation 4f2444f9-704c-4329-96c1-606a97fa461a · outbound

This paper cites Unsupervised learning of video representations using lstms.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Unsupervised learning of video representations using lstms

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.707467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.460124Z digest=sha256:2166db5d115a92df53c089f20faa2343931ad2340fa3582e6f25db42a0e39de2

Observation 8442c355-bcbc-4a19-8cc3-68e5177501da · outbound

This paper cites To- wards accurate generative models of video: A new metric and challenges, 2018.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.699230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.462747Z digest=sha256:caed529c81b4b9c722b65048ee1a7dc1f81f88e122ddc657177e57703a346b65

Observation 19bc4ff0-74cd-40b3-80f2-8648b452c60e · outbound

This paper cites Decomposing Motion and Content for Natural Video Sequence Prediction.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Decomposing Motion and Content for Natural Video Sequence Prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T21:15:07.465138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.465138Z digest=sha256:51145903289ecb07922656403fa8da6c3105165aab2a690d354312e6e3cf67c5

Observation afb4ad6d-f2cf-4b54-9095-9f6b203432df · outbound

This paper cites Learning to generate long-term future via hierarchical prediction, 2017.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.691241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.468504Z digest=sha256:abc94aff84cd3a0aacf4ba0fcc98fe9a248606381e71ed4a8c6bde9c08311fe9

Observation d0855b85-232c-47b6-9d71-a265ea7e85e0 · outbound

This paper cites Le, and Honglak Lee.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Le, and Honglak Lee

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.682624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.470789Z digest=sha256:3bcc62a784c8e4aac67fa1ff7a671a27fec1cc7a2d8682e231ea28fd1b9ef233

Observation c67d334e-bdcd-4a51-b8ca-e9f26ca9002f · outbound

This paper cites Mcvd-masked conditional video diffusion for prediction, gen- eration, and interpolation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.673388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.473417Z digest=sha256:ea33d67cac4a03f4408d38b5279aafefaa3a0c3fef52899ef24f4f72edf0f150

Observation c6ab281f-7be5-445c-a6f4-fb5b164defea · outbound

This paper cites Patch to the future: Unsupervised visual prediction.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Patch to the future: Unsupervised visual prediction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.663519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.476322Z digest=sha256:6a5af458c526507316402b1f05f3b133eefc5084337b341c70571fc30b770a4d

Observation 27af64d1-1d58-443c-9bf6-d19f3f036969 · outbound

This paper cites The pose knows: Video forecasting by generating pose futures.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction The pose knows: Video forecasting by generating pose futures

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.654623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.479681Z digest=sha256:a3426401a141ca1dad9fb26e990b1db483183e0f6b0d2f2318f38fca9f7514fc

Observation 9234fdd1-06ba-4a3b-bf77-0e824425e5d1 · outbound

This paper cites Eidetic 3d LSTM: A model for video prediction and beyond.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.645608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.482460Z digest=sha256:58dc50ba5078b7f4570cdbce878352f36fed41a96c8fbb2648dab7ff48b3c40a

Observation 6e92218b-1052-458c-91c1-f24a87502f5d · outbound

This paper cites Hierarchical long-term video prediction without super- vision, 2018.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction Hierarchical long-term video prediction without super- vision, 2018

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.637219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.485552Z digest=sha256:d66bf7804da1e17099215ddea3aaf98e51f62332f9b51640a62ca70d1cb2dd0f

Observation a319676c-44ff-46dd-9ce0-f27cd60e3a03 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T21:15:07.488359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:15:07.488359Z digest=sha256:6f9dc396ca04d92e86182e1f207798bdc3b1614558d8a013a53d8e79b97d3829

Observation 8bdc8d78-1edf-4432-85c2-47250b3aa204 · outbound

This paper cites A data-driven approach for event prediction.

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction A data-driven approach for event prediction

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:15:07.628798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:15:07.491502Z digest=sha256:053d14b49b8c8e6c5931b2d5d5a19030e0306f9735406373aed8f68ab35156ae

Pith citing papers

No inbound Pith citation observations are available.