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Paper Citation Record · LEDGER

Latent Video Diffusion Models for High-Fidelity Long Video Generation

As of 4 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 62 inbound Pith citation observations for arXiv:2211.13221.

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

pith.paper-citation-record.v1
2211.13221 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T04:27:43.019940Z

measured 110 of 110 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 62 of 62 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:03:06.559801Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact21
  • verified fuzzy24
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 139c04f7-13dd-4bb5-9a07-acb848aa6f1b · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Large scale GAN training for high fidelity natural image synthesis

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3c82eeae-933f-4883-9942-1fc82ff293de · outbound

This paper cites Generating Long Videos of Dynamic Scenes.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Generating Long Videos of Dynamic Scenes

Reference 2

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arxiv_id, observed 2026-05-15T04:27:43.084022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f53cda0d-ad83-49e1-8834-1e695217d998 · outbound

This paper cites Hierarchical Video Generation for Complex Data.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Hierarchical Video Generation for Complex Data

Reference 3

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arxiv_id, observed 2026-05-15T04:27:43.114294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 918bf336-a83e-418b-85c0-2a5dfa76df44 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Diffusion models beat gans on image synthesis

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d73d06ab-a828-47bf-8727-98057860a559 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Taming transformers for high-resolution image synthesis

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bf101d3b-eb4d-475f-845f-be1e5a5b6298 · outbound

This paper cites Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Reference 6

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arxiv_id, observed 2026-05-15T04:27:43.184025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 733b05bc-3ead-4c78-ad3a-6656d393d6dd · outbound

This paper cites Probabilistic video generation using holis- tic attribute control.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Probabilistic video generation using holis- tic attribute control

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d6f60504-ade3-4e78-82fc-933fc3f97718 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 8

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local_arxiv, observed 2026-05-15T04:27:43.092153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c4b402cb-056b-49e8-9c5c-0407e6fde9a3 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Denoising diffu- sion probabilistic models

Reference 9

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raw_fallback, observed 2026-05-15T04:27:43.400698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 665fc95f-8d1f-4c0a-a6e0-76ca5ec854eb · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Cascaded diffusion models for high fidelity image generation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 15c533e9-2cdb-4b9e-becc-b4b62cf41892 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Classifier-Free Diffusion Guidance

Reference 11

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local_arxiv, observed 2026-05-15T04:27:43.341167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8dbc538d-3d40-42fb-a4b9-4b7c498e83be · outbound

This paper cites Video Diffusion Models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Video Diffusion Models

Reference 12

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local_arxiv, observed 2026-05-15T04:27:43.347557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation de390fe3-c966-4a37-8b80-fbb52d5b6fd3 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Latent Video Diffusion Models for High-Fidelity Long Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 13

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local_arxiv, observed 2026-05-15T04:27:43.073618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c83a58cd-f2ee-40d3-b958-1b6f591141c6 · outbound

This paper cites Alias-free generative adversarial networks.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Alias-free generative adversarial networks

Reference 14

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raw_fallback, observed 2026-05-15T04:27:43.413291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5da374dc-d475-4b60-88c8-9f790e6d8b49 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Latent Video Diffusion Models for High-Fidelity Long Video Generation A style-based generator architecture for generative adversarial networks

Reference 15

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raw_fallback, observed 2026-05-15T04:27:43.419062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c9cde322-dcfb-4b19-a9f8-1b676a0d5b55 · outbound

This paper cites Analyzing and improving the image quality of StyleGAN.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Analyzing and improving the image quality of StyleGAN

Reference 16

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raw_fallback, observed 2026-05-15T04:27:43.425138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cda39ffe-678d-41b0-8582-07cda9da8479 · outbound

This paper cites VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation.

Latent Video Diffusion Models for High-Fidelity Long Video Generation VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation

Reference 17

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arxiv_id, observed 2026-05-15T04:27:43.124785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b4399b38-8847-4ac3-8fcd-92543804144c · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1e47dc78-b73a-4eea-9e32-1e5e8f30c595 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Improved denoising diffusion probabilistic models

Reference 19

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raw_fallback, observed 2026-05-15T04:27:43.430399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d344bff4-be90-4710-b3fb-e5ed0c5b563d · outbound

This paper cites Neural Discrete Representation Learning.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Neural Discrete Representation Learning

Reference 20

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verified exact
local_arxiv, observed 2026-05-15T04:27:43.226661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b4dae0c9-2195-43ad-89ba-97b76718f8a3 · outbound

This paper cites Latent Video Transformer.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Latent Video Transformer

Reference 21

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arxiv_id, observed 2026-05-15T04:27:43.284865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5508273f-ce86-4e0f-9572-61503dada6ee · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 22

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verified exact
local_arxiv, observed 2026-05-15T04:27:43.307642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation da883871-fd7e-4406-b4ee-6b844c62d42e · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation High-resolution image synthesis with latent diffusion models

Reference 23

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raw_fallback, observed 2026-05-15T04:27:43.437657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 579e7168-8aac-4f35-a65f-8ef404a39619 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Latent Video Diffusion Models for High-Fidelity Long Video Generation U- net: Convolutional networks for biomedical image segmen- tation

Reference 24

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raw_fallback, observed 2026-05-15T04:27:43.443523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 556bdf18-43a0-4401-adc9-0950ea53b84c · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 25

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local_arxiv, observed 2026-05-15T04:27:43.064904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c7b03952-186d-4ee7-8a0f-6e5467f94003 · outbound

This paper cites Tempo- ral generative adversarial nets with singular value clipping.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Tempo- ral generative adversarial nets with singular value clipping

Reference 26

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raw_fallback, observed 2026-05-15T04:27:43.448655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation effa888e-c891-4a46-a1d2-a8803f74f83d · outbound

This paper cites Train sparsely, generate densely: Memory- efficient unsupervised training of high-resolution temporal gan.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Train sparsely, generate densely: Memory- efficient unsupervised training of high-resolution temporal gan

Reference 27

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raw_fallback, observed 2026-05-15T04:27:43.454185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9c79e3e2-7078-46fa-b69e-6e162d87dee9 · outbound

This paper cites First order motion model for image animation.

Latent Video Diffusion Models for High-Fidelity Long Video Generation First order motion model for image animation

Reference 28

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raw_fallback, observed 2026-05-15T04:27:43.459306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9ec4fb35-2e0b-405b-9920-de97808b3d76 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 29

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local_arxiv, observed 2026-05-15T04:27:43.103180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c6ba3996-ac60-4f49-a9ad-32636a29e630 · outbound

This paper cites Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2

Reference 30

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raw_fallback, observed 2026-05-15T04:27:43.465746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 38ca72f1-1271-49c9-ac91-a6b97ced4836 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 31

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raw_fallback, observed 2026-05-15T04:27:43.374890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0af98eea-82e8-4d4a-9d32-416e9a36492b · outbound

This paper cites Denoising Diffusion Implicit Models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Denoising Diffusion Implicit Models

Reference 32

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local_arxiv, observed 2026-05-15T04:27:43.133774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c445a267-bbe3-4e5a-a9ae-bfbd3b7ee55c · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 33

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local_arxiv, observed 2026-05-15T04:27:43.145334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:b9db7257a917e16fd7b76a79dc5a48982ffd3517cced60f6947455e37e6d478b

Observation 9e10fe63-8816-4603-a928-48fb9ae5968c · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Latent Video Diffusion Models for High-Fidelity Long Video Generation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 34

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local_arxiv, observed 2026-05-15T04:27:43.158785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:11a42f563a8dc0785d8260cdc2fbe5abb4d4700ffc5ccb470df3d129cb23bbf5

Observation 6f0334b5-66f4-4850-ab71-ed691590d643 · outbound

This paper cites Metaxas, and Sergey Tulyakov.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Metaxas, and Sergey Tulyakov

Reference 35

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verified fuzzy
raw_fallback, observed 2026-05-15T04:27:43.477205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:882e108a1e6ce6cf075d5151c3cf3e78c9bcf9260d1a28590214d2ddb483b23d

Observation 88211934-84d3-44c3-984e-b7153c37284d · outbound

This paper cites Mocogan: Decomposing motion and content for video generation.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Mocogan: Decomposing motion and content for video generation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:27:43.486396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:8393ff599f922a8b72cefed4909587646208100168f2dc24ae0ba4ec453e01cb

Observation 6e65da46-c00d-4bd0-9973-2d56a9c425f4 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:27:43.211816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:c0db7caccbae9e5b6745e984eaae0a04d9be8a5ed13214c44d3c1b811659c60b

Observation 4bf1dd9b-1663-444a-9ace-bb8178b5deb0 · outbound

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

Latent Video Diffusion Models for High-Fidelity Long Video Generation To- wards accurate generative models of video: A new metric & challenges

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:27:43.494584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:0b1f6a505a782638ec63235bd536441b6df0c583d5c0a4965afc0dba44a5fa5a

Observation 09a0afcf-cb2b-4d68-8906-433f5da396eb · outbound

This paper cites MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation.

Latent Video Diffusion Models for High-Fidelity Long Video Generation MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.254780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:722db288cb6b377d958091f688509d15f9110a6dda5b8db9b67acce49084c10b

Observation 07076b5a-8092-45dd-930e-492eccf7eae9 · outbound

This paper cites Generating videos with scene dynamics.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Generating videos with scene dynamics

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:27:43.500471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:a14d0e5a9aef2c5c0f06c7dff41d614b1fca39eb74234fdcc9f456d8afa5fc96

Observation 0883370d-3f6a-41f7-af22-279bbe3ceed3 · outbound

This paper cites Predicting Video with VQVAE.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Predicting Video with VQVAE

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.291686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:bc4e56818745397a989946e8db02440fe8d430c70bd80c6ae60fa496bdac501c

Observation f9c02821-88b2-4b9f-b6d3-eb53bee47fb9 · outbound

This paper cites Scaling Autoregressive Video Models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Scaling Autoregressive Video Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.301157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:cb136388ddc263a634f22ad3fb537535dfd63373dd861b646c111b9321456312

Observation 4261e0cd-b733-4a67-b42d-c899cd6c7c34 · outbound

This paper cites Learning to generate time-lapse videos using multi-stage dy- namic generative adversarial networks.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Learning to generate time-lapse videos using multi-stage dy- namic generative adversarial networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:27:43.507423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:799175f79087451c82d8198e394ac79495485697b206ee4e835d27fc1a3e11bf

Observation 76e4ecc2-d983-4a2e-8f5c-d5b39a956b57 · outbound

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

Latent Video Diffusion Models for High-Fidelity Long Video Generation VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:27:43.315077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:1b22b84ba179693bbeee85ca8b9b3a75c8c1f8546a5277ac6895082fc3473554

Observation f4f688cf-9e60-4d1b-a417-1b1f7d14591d · outbound

This paper cites Video Probabilistic Diffusion Models in Projected Latent Space.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Video Probabilistic Diffusion Models in Projected Latent Space

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.331944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:be4e0cf7fdc2a777196448d115a6a9efe855c4b14cec7a89635670cf3660bae2

Observation b9bd0129-80e7-4c0d-b047-a3f17e363018 · outbound

This paper cites Generating videos with dynamics-aware implicit generative adversarial net- works.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Generating videos with dynamics-aware implicit generative adversarial net- works

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:27:43.514043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:ea8631fbb45e0e3aca2ed48f4e0652cc824fbf2d0754f8f98da7029ac6541e24

Observation b3807d25-9050-4867-aad1-5a72bfcee42e · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Latent Video Diffusion Models for High-Fidelity Long Video Generation The unreasonable effectiveness of deep features as a perceptual metric

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:27:43.522024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:4eadc8d5bbccd72b43c19a8f448b2330b58441ccfac7b28104a5db6f76afba47

Observation 12f5d082-5cb5-4c9d-ab03-122d6fe88902 · outbound

This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.

Latent Video Diffusion Models for High-Fidelity Long Video Generation MagicVideo: Efficient Video Generation With Latent Diffusion Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:47:57.649874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:f5a0e6610187d4de913bdd2150c0d7b6a45a74c7a272a58f1ce7138c4d81fd86

Pith citing papers

Observation 9f168b6b-cb29-4ebb-9a6c-c29f0072eed4 · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 294

Resolution
verified exact
local_arxiv, observed 2026-05-20T13:03:58.052961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:d391e50b5943cd33050c08ae1e33a820bdd6536f72ed6386f448644411f69c53

Observation 428475e6-c378-428a-8592-b57f1e3e2cba · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 197

Resolution
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local_arxiv, observed 2026-05-16T02:15:18.708576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T02:15:18.265190Z digest=sha256:199165135bbb32374d2cd4be576ea8a8602b03ff857bb4942416df31668761f3

Observation 32643e5b-0e18-4cc9-a7f7-e855f7f6fa4f · inbound

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation cites this paper.

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:40:43.956642Z digest=sha256:7dfc385aa4c2f7ace95433c8c0e95ea3a422a04ffbb2ccdaa744cea18aceeaaf

Observation 261cd0ef-3c62-48da-b345-be20ab3e4c9b · inbound

VideoPoet: A Large Language Model for Zero-Shot Video Generation cites this paper.

VideoPoet: A Large Language Model for Zero-Shot Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:51:05.701564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T17:51:05.465548Z digest=sha256:5dbbdfeb1dfcd23c04a802a461dfb1ac8c75c753d085d5de641668e4a2594e9d

Observation 33a870af-4fa5-4ccf-987a-4bf1aecff61e · inbound

Latte: Latent Diffusion Transformer for Video Generation cites this paper.

Latte: Latent Diffusion Transformer for Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T21:45:35.754742Z digest=sha256:132d89660cb39bf446f5480004afdb68259f8d68072917eb278f0952edd9803c

Observation 7729b9c3-8265-4d50-89ea-901905515137 · inbound

CameraCtrl: Enabling Camera Control for Text-to-Video Generation cites this paper.

CameraCtrl: Enabling Camera Control for Text-to-Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T02:06:23.410241Z digest=sha256:8b9b5039d8d368712494bf066cdc3abf39725a059d319f1c3e174fc233959211

Observation 934fedbb-abfd-4ded-90c9-0d1d7aaaff0d · inbound

History-Guided Video Diffusion cites this paper.

History-Guided Video Diffusion Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-16T12:00:14.720563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T12:00:14.672729Z digest=sha256:e8b9429c226e5e8497218374ce2f83f56e057e32a423acea275eb2fd857903d7

Observation 413fb7db-927b-479c-8779-efaa3d1e1d75 · inbound

Scene-Action Prompt Fusion for Coherent Text-to-Video Storytelling cites this paper.

Scene-Action Prompt Fusion for Coherent Text-to-Video Storytelling Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:12:17.911039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T00:07:39.286486Z digest=sha256:a1639fe8887b7764f4183c2c1a271aaeaf3590ad9bdec063cf51e10737d3e41b

Observation de86f5b8-bfbd-43cc-b490-d3abe0895a86 · inbound

Long-Context Autoregressive Video Modeling with Next-Frame Prediction cites this paper.

Long-Context Autoregressive Video Modeling with Next-Frame Prediction Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-16T23:05:17.343915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T23:05:17.201790Z digest=sha256:319f59150371b1a914f3b8a9ddcebc7bfcf9872b6d68dc521c133d3e3fb011e5

Observation 2116d735-d45d-4b37-9f38-714c5765e739 · inbound

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness cites this paper.

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T18:42:02.940250Z digest=sha256:bac0be48d057abd95eeb14b3c2d26b265ad853a802c33787c6422bd34fb90799

Observation 992392b5-918c-4b6b-9832-ff0856f506a8 · inbound

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback cites this paper.

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-22T18:56:58.188352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T18:56:39.735334Z digest=sha256:ed9c182ce1f27f34a0fd0663fe7e90cec1760e887a0f2381856f4eaa5b40a8a4

Observation 88c9db44-0f5c-4ae6-8a78-fb3a60c06803 · inbound

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment cites this paper.

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-22T17:51:54.699920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T17:50:59.797593Z digest=sha256:0e480f7614af13dba1130ed7110d4516695833479b6c99f586f3e78c36b6c40d

Observation ecd29aab-771d-4a91-b1cd-ca1b5936da55 · inbound

Character-Centered Dialogue Generation from Scene-Level Prompts cites this paper.

Character-Centered Dialogue Generation from Scene-Level Prompts Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:34:53.688203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:31:43.083678Z digest=sha256:26d29ac80276914a623db1bce43a0784755ab99ca1fa2cb5536848bb6efab681

Observation 09ea2d98-83d3-4510-bca7-ec060d697bd7 · inbound

ReSim: Reliable World Simulation for Autonomous Driving cites this paper.

ReSim: Reliable World Simulation for Autonomous Driving Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 106

Resolution
verified exact
local_arxiv, observed 2026-05-19T09:32:16.828630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T09:28:00.597160Z digest=sha256:3d4dec7df809255b5f61d5a8a41b466aeb0f17c8f88195c9a25239d44b424fda

Observation eaa1421a-0b24-4362-999d-4c425155937d · inbound

LongLive: Real-time Interactive Long Video Generation cites this paper.

LongLive: Real-time Interactive Long Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T03:52:59.287555Z digest=sha256:92948f2387fe87ed3fc825521b6dd7a5471afebb1816bc7cefdc0af3e2f24ef5

Observation b1aac2db-3687-4d5a-8b90-1a8b0db11be1 · inbound

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation cites this paper.

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:39:54.363532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T22:39:53.995700Z digest=sha256:e783104fe54166ca16fb6ee6d799066c5b4fb4813484a6f9092006099773ce42

Observation deab3c25-dfc0-4b2a-ba3a-c2cad342d100 · inbound

PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding cites this paper.

PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T20:16:10.700777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:16:10.700777Z digest=sha256:fdd5de219f6fa7e687bc0edfdb30e1083dfaac81afeb53274fdbb8df7dc18f10

Observation 89b64457-1fbd-4b27-a665-69424aa90faf · inbound

One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer cites this paper.

One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:25:28.408268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T18:25:22.486891Z digest=sha256:e7efbf423ed9a8e67b231f01a50d9856ecf9db7edcd0e3637159df7f41b87073

Observation b194084b-6822-45dd-b7a0-a29ac612efe8 · inbound

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation cites this paper.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.160442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T18:17:54.943863Z digest=sha256:df16a0b6d80d98f95e33d6e0ab923bcf99b990a32049e1ceb8d55e1a97dddeae

Observation db4586ce-4d76-40cd-b3ad-edf60a73133c · inbound

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation cites this paper.

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T13:24:44.948653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:24:44.948653Z digest=sha256:02b4a9fa59a0107df3dfa63306138dd1590ce5c0b2cb856aaefa2d7506ce4961

Observation caf7661c-9135-442e-9168-eb3b9cabe2f1 · inbound

ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction cites this paper.

ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T07:20:49.551065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:20:49.551065Z digest=sha256:926e89d734edcbff677a2259a4c246ea9eccde9fae737d633caa68b42eae22e1

Observation 79439f67-d10a-4166-abcd-2e7af53fb81f · inbound

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation cites this paper.

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:32:01.727325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T17:32:01.642256Z digest=sha256:15bc6e909cb9c2beb6f271c088eaf06a467c53091cfb504c168aee824dbe5503

Observation 2d7cda25-8880-447d-9621-d2618b676636 · inbound

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation cites this paper.

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-22T11:51:29.870392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T11:48:00.633421Z digest=sha256:3c7602518c24294101664599a07392cadf548180cc37f96059d7ebff9ccbddc4

Observation 01c081ac-9f31-4fe2-93c2-30c81ee7a561 · inbound

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation cites this paper.

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T05:30:25.387441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:30:25.387441Z digest=sha256:2cd8b28cacee6bd2832279ad1c8670960513f1d59b84d67ab856dd6660d6b623

Observation 7f151000-3b07-4e49-905d-5d35120e0a74 · inbound

EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos cites this paper.

EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-21T11:54:09.091230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T11:52:09.262497Z digest=sha256:68a81ab61faa60891833f82c26e73e231fdbfd95a720f42085203a93ea1407f6

Observation 7a3117ba-00d2-4b67-8549-d3787457a6ab · inbound

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation cites this paper.

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:30:01.667460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:27:23.641294Z digest=sha256:6b3f3088b01328f378a0332e53bfc881a6460728c3687d3a626c2415a5ddb9d2

Observation 594cfcaf-3a4c-42e4-8b0b-656bcdc5b80a · inbound

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation cites this paper.

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T09:45:23.278176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T09:42:26.074609Z digest=sha256:eccef47a667e5d77c4e0a09e969074506507d1b7b766ed653bce8d98b1fae35c

Observation 900758df-949c-4cf2-8512-f0f939aa615e · inbound

Not All Frames Deserve Full Computation: Accelerating Autoregressive Video Generation via Selective Computation and Predictive Extrapolation cites this paper.

Not All Frames Deserve Full Computation: Accelerating Autoregressive Video Generation via Selective Computation and Predictive Extrapolation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:43:39.554490Z digest=sha256:45d6e6aaa09bc0f00dd8abb8d5b0e5442838caab9c638191f6e581674eb3815b

Observation 4a8cb0c3-0b9d-4956-8308-5a2ac83f73eb · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:41:38.616611Z digest=sha256:aacfb3ec99ef633ad876e188eaba8539de991cafde33c4348c72b8e12a08e110

Observation c5e14473-811e-458e-aaf1-9e0dcef51d06 · inbound

Not all tokens contribute equally to diffusion learning cites this paper.

Not all tokens contribute equally to diffusion learning Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:55:51.020912Z digest=sha256:759e9ce0585aa229374e14244f6e5632f0f713698170d1635bedca80a5028d8e

Observation 1f951631-eaf1-4246-8576-d807e624166e · inbound

Rein3D: Reinforced 3D Indoor Scene Generation with Panoramic Video Diffusion Models cites this paper.

Rein3D: Reinforced 3D Indoor Scene Generation with Panoramic Video Diffusion Models Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:34:15.916685Z digest=sha256:94ec19653b1d41694e963834fdf867a64257bc1e06fd071b603437bd0da039a1

Observation 1bbd024e-894b-43f5-b5e7-da543e2c230c · inbound

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:36:33.264166Z digest=sha256:88c5b0b8c66296f494e9e7fcb67f379ac0197d79eaeced17aed8e98c405a9678

Observation 55b9af03-997d-4a59-a771-e1fbca5d5d36 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 291

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:5b684636984159e943637460ded98c5f477c604c8bd06516b7230629ceee348d

Observation 1f1b6ae9-bb4e-4dc1-b469-8e31eb10843c · inbound

Latent-Compressed Variational Autoencoder for Video Diffusion Models cites this paper.

Latent-Compressed Variational Autoencoder for Video Diffusion Models Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:23:19.583713Z digest=sha256:1829247301a26b09396bebad6b9663c3e994ec6593dc98b6b3d9557020e2ec99

Observation 7b454bea-9469-4959-9e58-8f8967485673 · inbound

Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos cites this paper.

Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T05:26:48.606759Z digest=sha256:149bc3b7bbd2b983fede43ab564717d4275163e8abc4a8e0918617d4471154ce

Observation a4343819-02f6-4907-845f-a29e5d72e5b8 · inbound

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation cites this paper.

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T16:54:23.108142Z digest=sha256:d9abfdce0e3264e06d39acc27c18b1a8602db6a6db921d32bc8ae9cd753aecc2

Observation 6cd28b96-c5b2-4070-9cf4-e784f55610ef · inbound

DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation cites this paper.

DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T14:07:52.387781Z digest=sha256:8c129bc023a1fdfc2483389ced966a42864c196702319030f910c2427a43d84c

Observation 28e4e1a3-7fcf-4207-a900-01ffc6b1e623 · inbound

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation cites this paper.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:674b839fa2a0bae05fec6b404f49210762bccd0e50a6c3c76939a4d7375f8834

Observation 5eb3b571-ca24-4a86-b3b5-72206a1f72b8 · inbound

DiffATS: Diffusion in Aligned Tensor Space cites this paper.

DiffATS: Diffusion in Aligned Tensor Space Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:38:12.633086Z digest=sha256:302d8c154a030f9e8997e513b8931291f24722bcd0fa355f72154655ffb65f8d

Observation e28973e7-9744-4f86-bec3-13e5093f27d1 · inbound

SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation cites this paper.

SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:57:38.215348Z digest=sha256:a98d7e06b84733ed8779cdfdf47297d00c525fab52541e9bd914e9e766f1a0a4

Observation d51d9b99-bfed-4856-a304-ebebccb03044 · inbound

GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization cites this paper.

GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:38:08.198271Z digest=sha256:5040ddb8701b7a77643c2600e4517699cdfa8c3be697e7ecf33bc517a97e2be4

Observation 8c3de530-83d2-4fd3-be2d-e466a2cf955f · inbound

RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data cites this paper.

RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T17:54:50.325820Z digest=sha256:c67aeba4bccdbd295587913fa0bd88c1edb9e0532ab7692017a045af8c7b7f5b

Observation 9ce9627a-2952-42e6-9595-e5268d90525f · inbound

TeDiO: Temporal Diagonal Optimization for Training-Free Coherent Video Diffusion cites this paper.

TeDiO: Temporal Diagonal Optimization for Training-Free Coherent Video Diffusion Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:59:44.883744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T04:59:34.046044Z digest=sha256:2783fee88fcb0441ae7a32637bed4ce8504c7d5e4213abf6ead6f1b959da53ce

Observation b04a9df0-9d2a-4aab-a07a-be25fe16c759 · inbound

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation cites this paper.

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T18:13:49.910147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T18:13:41.075019Z digest=sha256:01fafe30f243dff7730a39fa7318c5b82b25fa6ac5eea582cf68e9cfd2f7fea4

Observation 7c198bdd-ed73-4c6a-b069-31deeae30b4d · inbound

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation cites this paper.

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T07:39:49.147698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T07:37:30.564219Z digest=sha256:a5866df8cc49bdaed720ea8c89e465e0119449bc5e7fe36616282fb2fe811165

Observation 951ad195-9348-42a8-9201-538d34bdb030 · inbound

BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension cites this paper.

BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-06-27T18:41:07.973397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T18:35:14.331659Z digest=sha256:52e8be30ce3bcb779cc40611b26987faab6636511d48f50ed03d4dcfd708fb80

Observation c86213ee-e3de-45e3-9a60-be11b1119c9f · inbound

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model cites this paper.

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T02:59:26.696859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T18:34:56.810124Z digest=sha256:4db2ced8fd16bc8459e71e1e3c9a1709420180f76ef405c8e94bddc2e85e279c

Observation 5502ceee-b152-4eab-84c3-c19ec7b2be80 · inbound

BadDreamer: Transferable Backdoor Attacks against Video World Models for Autonomous Driving cites this paper.

BadDreamer: Transferable Backdoor Attacks against Video World Models for Autonomous Driving Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:29:37.009737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T14:30:21.711927Z digest=sha256:234c0da649b80004402d36b474b6e7d9066ba346e07d467c345714e106302b79

Observation 6186abd7-a112-4715-8dba-1c69cd73a535 · inbound

Towards Error-Free Long Video Generation cites this paper.

Towards Error-Free Long Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T08:59:42.093150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T10:49:36.838492Z digest=sha256:f5893275e1a5aee367e190ecc6ef1f31dde2486e2cb15be4003ee3eb3a0de1a4

Observation 7a1f019e-cdf1-4611-9645-4450ea856a45 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T18:25:57.829021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T02:03:45.564122Z digest=sha256:3944e91fbd25553724b99bfe825f8e06c6af8a2bdfe2af8227779e2b9f635858

Observation fe339ba0-9a28-4db0-bd04-338433e3ad2b · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:35:40.662738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T06:25:58.872140Z digest=sha256:d3261941d4b6bd4808a1bcb649a7e63752f7e5e1ae4c135f7e8e5a12150d7fae

Observation 305a1e84-1b94-47c1-a6fa-60693199f25c · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T20:57:22.811299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-02T20:52:28.444524Z digest=sha256:6b2e25be0447e5d63dc69c0358a5b56cc04a3ce7080fe61692a4b70784b05207

Observation 3b1d1705-30a5-4d41-8aa0-b68725eda776 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T22:49:00.836835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-03T22:44:16.272541Z digest=sha256:924ec4e89b22564da2226666e26593f91e12ccd35698bc284a83269c7b7746fa

Observation d1d0a197-e6f9-4391-b129-047bfedae003 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T17:14:19.770867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:14:19.770867Z digest=sha256:95c4224557f57457a1eb2957bb716950e2ed577bef9f7f10670f131c1025f671

Observation 5e098839-b3ad-4da2-b6a4-9b2ad9dc40a4 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T10:00:10.432760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:00:10.432760Z digest=sha256:1fef0e71093b094aa23ac205e2f0ddf35dc84fd6cccb40953639b3899906211d

Observation 42a795b7-302f-47e8-991c-612f634a82fc · inbound

Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation cites this paper.

Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T20:58:57.227521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-03T20:57:06.512365Z digest=sha256:bfe057741bfd42e6ecc25ac381caeb5d3187e8aff35988423d05b6e604191963

Observation bf7baa2e-7207-4377-bf41-c22cac98f082 · inbound

Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation cites this paper.

Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T08:45:35.247511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:45:35.247511Z digest=sha256:ba544b0e2b6b980038a186531a35d78e09152c58f2f433aafe001af045f3dedf

Observation 4a5e027a-51b0-43b0-8545-0c5d690da8d8 · inbound

Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation cites this paper.

Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T02:03:41.757942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:03:41.757942Z digest=sha256:9f3164191276fc5c051ff8ee94201d4a2866812bf9570781183c4e9493d87326

Observation 8f62b9bc-c796-4f36-a325-4e60547d416f · inbound

DriftWorld: Fast World Modeling through Drifting cites this paper.

DriftWorld: Fast World Modeling through Drifting Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T00:24:05.483535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:24:05.483535Z digest=sha256:dc9826d79c1372404002ac174de94be8a4c52f5333d59a0291ac5be3f100c7c3

Observation 1c52d0d4-c454-4593-aa29-0d65cf92c4df · inbound

ViDS: Video Diffusion Shader using 3D Face Tracking cites this paper.

ViDS: Video Diffusion Shader using 3D Face Tracking Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-31T23:01:25.641610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:01:25.641610Z digest=sha256:8cb5c2ee8e2e35ed2370ce738f819d3750dcf6d1a66c781781643635150d1462

Observation 9e3a7d97-e258-4ff9-8022-f76a67f9b683 · inbound

TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models cites this paper.

TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-07-30T23:29:03.477170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T23:29:03.477170Z digest=sha256:babf48d8fd9bae1d428569ed73caf1419a745c106d6998910a44ecf0b2f921f5

Observation 10c71744-417e-47d7-b79a-5ac082086605 · inbound

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance cites this paper.

Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:06.559801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.559801Z digest=sha256:efeec5dbcafeeb8faf755be60711cc8a194d37d00e8c74f285b57f1577d0a953