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Paper Citation Record · LEDGER

CascadeV: An Implementation of Wurstchen Architecture for Video Generation

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2501.16612.

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

pith.paper-citation-record.v1
2501.16612 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:00:07.626602Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T22:44:24.796514Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86129864-852a-47c4-8a27-00586b02bf5f · outbound

This paper cites Open-sora-plan, April 2024.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Open-sora-plan, April 2024

Reference 1

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source=pdf_text observed=2026-08-10T12:00:07.497033Z digest=sha256:3347009e1cd4eb26b0fac12ed6a19c5b02017bcb58daad3d00a141fafbfd01ba

Observation 02305103-aa1f-4f0b-b21b-ac47b2d80fb0 · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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source=pdf_text observed=2026-08-10T12:00:07.500887Z digest=sha256:a5a313bbb58d36df1d38f5c266fdb9797386208d71b4efbb475526ecd0d0e9e1

Observation 1dd6d20c-9940-4495-b36a-c219381fc82e · outbound

This paper cites Denoising diffusion probabilistic models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Denoising diffusion probabilistic models

Reference 3

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source=pdf_text observed=2026-08-10T12:00:07.504902Z digest=sha256:936b02e639e8e8cdc805f8854a071f9ed27ed5c135f0b94617f659976b33508b

Observation e1221e63-ae9c-4af6-a362-b8b36a6fc452 · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 4

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source=pdf_text observed=2026-08-10T12:00:07.508458Z digest=sha256:0ad57b6bfbe836bc1f705d5e096817b284ba726165fe9ab1a8a1c56a0df9f8e0

Observation e7df6a60-36b3-47f1-bf0c-ae30ecdc92d3 · outbound

This paper cites Diffsound: Discrete diffusion model for text-to-sound generation.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Diffsound: Discrete diffusion model for text-to-sound generation

Reference 5

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raw_fallback, observed 2026-08-10T12:00:07.991589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d3e2a364-25cb-46d7-943c-498510e950ea · outbound

This paper cites Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.516248Z digest=sha256:601c041ec9bf005ea845f64f41ffb4fa6452d488ba748e838e8d861dcdecf888

Observation 27f8a8d2-703e-494a-9135-dacbc2201ebd · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation simple diffusion: End-to-end diffusion for high resolution images

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.519882Z digest=sha256:5304ded6b024ee1f65298235cb027adb87ff68745f88235e9407e53de1183926

Observation 519533fe-3a73-43c9-b760-e696b23a498a · outbound

This paper cites Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer

Reference 8

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source=pdf_text observed=2026-08-10T12:00:07.523244Z digest=sha256:1cc623aa14040d4df633af429c89188811d667513574e6e1f0278abea2364446

Observation c2092018-6cc2-43c6-a6f6-1232c2899c20 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 9

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source=pdf_text observed=2026-08-10T12:00:07.526327Z digest=sha256:a016c97288c256ce4f7109b9d7d891bc8da0d936dd105a4d5c709aac3b169922

Observation 2f075212-8d78-4f38-b38f-5f5938d8ec28 · outbound

This paper cites Improving image generation with better captions.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Improving image generation with better captions

Reference 10

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source=pdf_text observed=2026-08-10T12:00:07.529148Z digest=sha256:b234dd3982045b5ff3bed26778acd26c04f1edadcde50a61289088f612e9a8f6

Observation 024ecec7-7c5b-4682-a07f-d037cc366ca0 · outbound

This paper cites Photorealistic Video Generation with Diffusion Models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Photorealistic Video Generation with Diffusion Models

Reference 11

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source=pdf_text observed=2026-08-10T12:00:07.531922Z digest=sha256:5240f59cc59c6fc4ef3d2cfa6e4a5fbff8848d79074b61c25ab4ac5b926cdea2

Observation 647a10a9-f63d-4077-b73f-a58cd3fffc8e · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation High-resolution image synthesis with latent diffusion models

Reference 12

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source=pdf_text observed=2026-08-10T12:00:07.535217Z digest=sha256:9a4bde56014e95baee31e6bda0a8918add932b9a7214367224edfa8d3b63f2d5

Observation bdf6f80a-8e68-484b-8c44-659bb0d48098 · outbound

This paper cites Würstchen: An efficient architecture for large-scale text-to-image diffusion models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Würstchen: An efficient architecture for large-scale text-to-image diffusion models

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.538347Z digest=sha256:6d2ea5547c4658d70061f34d7d51cf16cf965ba1e438a5853277954c3e28f1ca

Observation 3b91f235-b030-4832-a77e-4639d2478ec7 · outbound

This paper cites Scalable diffusion models with transformers.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Scalable diffusion models with transformers

Reference 14

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source=pdf_text observed=2026-08-10T12:00:07.541076Z digest=sha256:b3c01b31f13daa0658b74db9b8816a40c83b86611a24a67d7e0c4afe1be28edd

Observation defd70b8-cf25-44a2-a580-c0e14e3e07fc · outbound

This paper cites Denoising Diffusion Implicit Models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Denoising Diffusion Implicit Models

Reference 15

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source=pdf_text observed=2026-08-10T12:00:07.543873Z digest=sha256:c03ea60cefa8c3cbc35ce149cec9686a3fe3049e3fe93d63f3ede3b8c25d17c4

Observation ba8baa46-7b33-4af4-8cdc-c25bdf5f59ad · outbound

This paper cites Fast sampling of diffusion models with exponential integrator.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Fast sampling of diffusion models with exponential integrator

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.546927Z digest=sha256:f1f3473945da937eac0feaa9575b15d2111bd4d0610aa749de732d2a3dea26dd

Observation ab5e6958-ecdf-4405-b29a-efcfec371f79 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 17

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source=pdf_text observed=2026-08-10T12:00:07.549638Z digest=sha256:1474adb540d44dbf29205737a9dc7639fb8be620188534959b9917574d474086

Observation 278faf0a-3cac-43c0-9e13-41d2360a10b4 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Lora: Low-rank adaptation of large language models

Reference 18

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source=pdf_text observed=2026-08-10T12:00:07.552437Z digest=sha256:d8548f5310c8f490a9267eaa051500f80f894e92061acf5899e7582d49e30ba1

Observation d9a6e499-59d0-4367-8040-73e6214f5f1a · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Adding conditional control to text-to-image diffusion models

Reference 19

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source=pdf_text observed=2026-08-10T12:00:07.555276Z digest=sha256:f68c45113161eb257c2b3d500ab63fa356e496c866d410c97705c0310010d26b

Observation 697a4bc4-a9d5-4b9b-80cc-c10db627c8a8 · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Cascaded diffusion models for high fidelity image generation

Reference 20

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source=pdf_text observed=2026-08-10T12:00:07.558082Z digest=sha256:6e814c7a9fc77aafd971d52062cea3134cd52ca0f293507b4a060415dab299c6

Observation 040fc9b1-b585-4dcf-92c1-e29fdfb19886 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 21

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source=pdf_text observed=2026-08-10T12:00:07.561135Z digest=sha256:c2ebe0a5f40e6c156cae8d621c8525f965347e549e9c490c9a60835df2c97706

Observation a7e2dfdc-6996-4479-bfd5-6d511849782d · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation U-net: Convolutional networks for biomedical image segmentation

Reference 22

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source=pdf_text observed=2026-08-10T12:00:07.564106Z digest=sha256:8463deff92440be48d1b71b8e9257ec2baf40e613044c03cea983b2603c4ed26

Observation f411d5ae-db90-45e7-8995-21c69f7e07a6 · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 23

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source=pdf_text observed=2026-08-10T12:00:07.566890Z digest=sha256:1e3bec562de9c4551eb1139d040b5b17a81467645b92ad28153cf8d701e9398b

Observation 28b14e66-0f13-462f-8c7c-056a29bac35f · outbound

This paper cites Nüwa: Visual synthesis pre-training for neural visual world creation.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Nüwa: Visual synthesis pre-training for neural visual world creation

Reference 24

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raw_fallback, observed 2026-08-10T12:00:07.882863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.569746Z digest=sha256:fe006437931933956a2f5404378d8ce356cf551de20c3ce4899e698a7c6d665c

Observation fb9ffba7-55bb-4ef4-b0c6-8be68f42956c · outbound

This paper cites Scaling autoregressive video models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Scaling autoregressive video models

Reference 25

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source=pdf_text observed=2026-08-10T12:00:07.572850Z digest=sha256:05cbddcc8c22233d46755528d35838161a42c830db0d6024be49ce3e3165770b

Observation 02e42b0f-4c6e-475c-92fd-77a2c422722f · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Generating videos with dynamics-aware implicit generative adversarial networks

Reference 26

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raw_fallback, observed 2026-08-10T12:00:07.866494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.575709Z digest=sha256:118f4f70b784acd17d8aa460d6ee9e9f5e325291a1af254c287f55ac898a3f3a

Observation 4838953e-8c76-4e7f-9f49-1a7f8f1f2cf0 · outbound

This paper cites G3an: Disentangling appearance and motion for video generation.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation G3an: Disentangling appearance and motion for video generation

Reference 27

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raw_fallback, observed 2026-08-10T12:00:07.856682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.578264Z digest=sha256:5101b5970e6b1da5cd005016f44e0805f9908971a1bd792e39233449607c577c

Observation fe0eef62-994a-4c15-b0a5-e8f405f10c5e · outbound

This paper cites A good image generator is what you need for high-resolution video synthesis.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation A good image generator is what you need for high-resolution video synthesis

Reference 28

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raw_fallback, observed 2026-08-10T12:00:07.846578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.580868Z digest=sha256:f1bd2e2e50db1413378d9b58c0274432c76883cefbe742fe61174671cfb742ad

Observation 14ce93e9-fa66-41e0-a838-95c6ea1c4890 · outbound

This paper cites Long video generation with time-agnostic vqgan and time-sensitive transformer.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Long video generation with time-agnostic vqgan and time-sensitive transformer

Reference 29

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raw_fallback, observed 2026-08-10T12:00:07.836717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.584225Z digest=sha256:f79612673bc69d867389363e96b05ed13c6672079e517c7e94ad616aea55ee1f

Observation 03f80efb-9001-479f-905e-57ad06d156e7 · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 30

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raw_fallback, observed 2026-08-10T12:00:07.827507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.587063Z digest=sha256:3cdbea339d2286f42322b01a002d4e6792f507a8514cfe025e83c7ac685a5e3a

Observation 05b43a01-c016-4d16-a4b8-71aa2171a99a · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 31

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source=pdf_text observed=2026-08-10T12:00:07.589676Z digest=sha256:5bd5b1944b36b16e1f599c5757422c3f66aab4e8ec700f95a0b2cb8e300800fb

Observation 56864b0b-2d04-4296-9626-974e79d1c78f · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 32

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source=pdf_text observed=2026-08-10T12:00:07.592366Z digest=sha256:a8cf436fb04367566d802574b566c22ac68fa105786dba438a83a9069c35f0c6

Observation 66fef037-fd61-4d08-8d73-8aababdcc9ab · outbound

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 33

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source=pdf_text observed=2026-08-10T12:00:07.596012Z digest=sha256:8e1e2318b7deb5e47b6fef86652dd7c08056e430f754b20a38c28c656d1a4a6d

Observation 0674cb40-8e99-49fb-b37e-6ced78f7f731 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Align your latents: High-resolution video synthesis with latent diffusion models

Reference 34

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source=pdf_text observed=2026-08-10T12:00:07.599393Z digest=sha256:b9e746e3a06aeace1e4792db8f67023946e6f18af6f84c5180aa9bd07b0e9d70

Observation eda86ece-9270-4a45-8e0d-da057172be1c · outbound

This paper cites Preserve your own correlation: A noise prior for video diffusion models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Preserve your own correlation: A noise prior for video diffusion models

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-10T12:00:07.812344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.602477Z digest=sha256:537f29801521964d8c4a0fb44efefdbdd41b18088500efd7d7ca98220d82174d

Observation 257aaeca-67d1-44f8-9f5d-fb344834766f · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 36

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source=pdf_text observed=2026-08-10T12:00:07.605544Z digest=sha256:151ad8732e8453980fb74e9a9b01c57f701537fe90e2446984ca7a6427f70d80

Observation 09d9de7f-6820-4423-bf82-8bbe34fd42a6 · outbound

This paper cites Video probabilistic diffusion models in projected latent space.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Video probabilistic diffusion models in projected latent space

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-10T12:00:07.803031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.609106Z digest=sha256:266465e5849df7fb588d9009f09016c5c818915ea842f1b2b7bcfd9b4e6c69c7

Observation 75f12e4e-6ec3-45d0-ab63-696dc9e010d7 · outbound

This paper cites Video diffusion models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Video diffusion models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T12:00:07.612105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:00:07.612105Z digest=sha256:d98a993e61466709be916b2680419f61335050abdd5e1dabd1800a84f2020c6b

Observation a5b52d57-cecf-4a78-b8ef-f6fc858df4f1 · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T12:00:07.615235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:00:07.615235Z digest=sha256:d33a1153708b4f986401a8c0e3041fccc203b5996758f3f71b3239666cf91e52

Observation 49dfba87-cf53-465a-97d9-1e611b1def88 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T12:00:07.618533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:00:07.618533Z digest=sha256:0848fcac6dfc03eb98bbc8e06330a0c59056ac29759257c00a4945068259aee6

Observation 1ebee318-0d55-4d3e-96cb-d9a58333f425 · outbound

This paper cites Adapool: Exponential adaptive pooling for information-retaining downsampling.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Adapool: Exponential adaptive pooling for information-retaining downsampling

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:00:07.787823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.621442Z digest=sha256:eeb677d0e5537f60715898419b5e46b72864f6dac9bccc91f662d01b25f3310e

Observation 35906e2c-0d5d-4015-b234-42cb2520cbc9 · outbound

This paper cites Easyani- mate: A high-performance long video generation method based on transformer architecture, 2024.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation Easyani- mate: A high-performance long video generation method based on transformer architecture, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:00:07.779389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.623976Z digest=sha256:911b9045349908bc283d05b59873fa6d4ce2185edc8cc941b21871d948afdc43

Observation 9a9eb359-25bf-4fdc-b341-0f29f44487b0 · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

CascadeV: An Implementation of Wurstchen Architecture for Video Generation VBench: Comprehensive benchmark suite for video generative models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T12:00:07.770304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T12:00:07.626602Z digest=sha256:056d93344b5c1ce533595ac2ea8595f507431e1274dfc881a4833cb3145ce1d5

Pith citing papers

Observation dc524441-eec2-4aca-8b7e-b5e96603d8c1 · inbound

Reward Lightning: Fast Video Generation via Homologous Preference Distillation cites this paper.

Reward Lightning: Fast Video Generation via Homologous Preference Distillation CascadeV: An Implementation of Wurstchen Architecture for Video Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-11T22:44:24.796514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:44:24.796514Z digest=sha256:0bb3374b4033743374a33c1416e308db69670bf719583d977d58e1aa20459e28