Paper Citation Record · LEDGER

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 3 inbound Pith citation observations for arXiv:2504.12259.

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

pith.paper-citation-record.v1
2504.12259 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:38:39.468676Z

measured 47 of 47 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T19:09:45.710658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:43:58.843048Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy13
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67cd8e16-c5c8-4a42-9e24-ac7a5f9bbb1c · outbound

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

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.748487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a583eab-3f3b-47c9-a0b5-9e4ebec0e2d9 · outbound

This paper cites Token merging for fast sta- ble diffusion.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Token merging for fast sta- ble diffusion

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.791819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97de3da-80a2-48ff-b874-60402cff15b2 · outbound

This paper cites Token Merging: Your ViT But Faster.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Token Merging: Your ViT But Faster

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.830872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f5d3f8c-a654-436d-8470-613082278906 · outbound

This paper cites Video generation models as world simulators.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Video generation models as world simulators

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.467128Z

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.

Observation dbf2cee0-16fb-4b5c-9229-17942f5b814a · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.840148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75316492-cc38-4818-8092-cb50947e5397 · outbound

This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.844726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c504ad-e4b8-49dc-9548-6bf0bbdf7e18 · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Structure and content-guided video synthesis with diffusion models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.455450Z

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.

Observation 88cf8276-278b-41c1-96f3-d09461cb4c9c · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.852882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5a09bc-9856-4832-85a0-660be567e736 · outbound

This paper cites Generative adversarial nets.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Generative adversarial nets

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.441136Z

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.

Observation 27af50fd-a0fd-4667-8052-5b3e31b2349d · outbound

This paper cites Denoising dif- fusion probabilistic models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Denoising dif- fusion probabilistic models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.861486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d47c23c-83b9-424f-bf20-f2e6cb12243c · outbound

This paper cites Real-time intermediate flow estimation for video frame interpolation.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Real-time intermediate flow estimation for video frame interpolation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.253317Z

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.

Observation 6bf0d354-3709-4c34-b383-3d23d07a68dd · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Vbench: Comprehensive bench- mark suite for video generative models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.869788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ccd0851-215a-461b-8741-12fb7dc9efb5 · outbound

This paper cites Scale-adaptive feature aggregation for efficient space-time video super-resolution.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Scale-adaptive feature aggregation for efficient space-time video super-resolution

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.230346Z

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.

Observation 84e3dfca-b5d0-48fd-a620-1d0c1b0c5e08 · outbound

This paper cites Adaptive Caching for Faster Video Generation with Diffusion Transformers.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Adaptive Caching for Faster Video Generation with Diffusion Transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.929792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 785a618b-2086-4314-bc37-98b826b1d4f2 · outbound

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

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate A style-based generator architecture for generative adversarial networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.974248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8ba51d-0e8b-4a9b-9e50-85b66e57f6ce · outbound

This paper cites Auto-encoding vari- ational bayes, 2013.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Auto-encoding vari- ational bayes, 2013

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:38.997313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f37110b4-9d05-4312-8d6a-61ce26637afe · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.001641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79590cb1-e8a2-4854-b015-3cb4353b6a04 · outbound

This paper cites an unresolved cited work.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.006294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2716eb1c-0855-47ee-886a-ff772862207c · outbound

This paper cites Vidtome: Video token merging for zero-shot video editing.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Vidtome: Video token merging for zero-shot video editing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.192344Z

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.

Observation 68635b21-b4e8-4a4e-9376-1d6ae49154c7 · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Open-Sora Plan: Open-Source Large Video Generation Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.014612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10665c07-2900-495a-881f-6ff016c30050 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.018662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc2b6ba-58e1-4460-8375-daadeb4d78f5 · outbound

This paper cites A study of subjective video quality at various frame rates.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate A study of subjective video quality at various frame rates

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.142764Z

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.

Observation 82445d38-1761-4133-bde1-621ce609ecfa · outbound

This paper cites Scalable diffusion models with transformers.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Scalable diffusion models with transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.028007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2a5609d-5ee1-441b-bb39-181a98999b2f · outbound

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

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.032068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dafea98-db47-46ad-84b8-e00dd28bc553 · outbound

This paper cites Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petro- vic, and Yuming Du.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petro- vic, and Yuming Du

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:40.065379Z

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.

Observation a09e068e-8a49-4998-bc65-122062ffb520 · outbound

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

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate High-resolution image synthesis with latent diffusion models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.038604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06616b2f-840c-43f8-8011-c7cb69a0ccc7 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Photorealistic text-to-image diffusion models with deep language understanding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.042275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7cc21c-9ad1-4fff-b77a-3d4845c65bee · outbound

This paper cites MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.045973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c03e854c-f3d5-4b08-9243-5dc3c098db7d · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Deep unsupervised learning using nonequilibrium thermodynamics

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.087866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d04a0cc-bd62-450f-b9fd-076a5a7a33ba · outbound

This paper cites Rate control for low-bit-rate video via variable-encoding frame rates.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Rate control for low-bit-rate video via variable-encoding frame rates

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:39.978080Z

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.

Observation 69b9cc37-7127-435d-b456-db656f0f3a31 · outbound

This paper cites AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.206024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f992b9a2-9381-47fc-83e2-173ff9bd998b · outbound

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

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Mocogan: Decomposing motion and content for video generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.211071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 966842cc-25c9-4cec-8c6e-a6a5dd271bc0 · outbound

This paper cites Attention is all you need.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Attention is all you need

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.215567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bad5f5d-b81c-4bbc-9428-816508494dc1 · outbound

This paper cites Omnitokenizer: A joint image- video tokenizer for visual generation.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Omnitokenizer: A joint image- video tokenizer for visual generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:39.878993Z

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.

Observation 3a00d3d3-bfe1-4b9d-8f4e-f45448a2d84f · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Image quality assessment: from error visibility to structural similarity

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.223858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d6ff58-83ce-43d8-95bf-c94a328accb6 · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.227730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b81096-9330-402e-b293-286acb0fad74 · outbound

This paper cites Fast- vqa: Efficient end-to-end video quality assessment with frag- ment sampling.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Fast- vqa: Efficient end-to-end video quality assessment with frag- ment sampling

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:39.856295Z

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.

Observation 11aba5e0-8fb6-4d8a-83ff-7e7460eebaaf · outbound

This paper cites Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.235933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aba210c-32b7-4284-a628-7169ef8c887f · outbound

This paper cites DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:38:39.532010Z

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.

Observation 47fe8059-200c-4356-832f-d2cbf4e315de · outbound

This paper cites Training-free and hardware-friendly acceleration for diffu- sion models via similarity-based token pruning.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Training-free and hardware-friendly acceleration for diffu- sion models via similarity-based token pruning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:39.841175Z

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.

Observation cc845b07-edcf-4ae0-82c9-a0d547cb2e9e · outbound

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

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate The unreasonable effectiveness of deep features as a perceptual metric

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.425758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73421633-e3aa-43eb-88d4-2929c029b1d1 · outbound

This paper cites Cross- attention makes inference cumbersome in text-to-image dif- fusion models.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Cross- attention makes inference cumbersome in text-to-image dif- fusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:38:39.737343Z

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.

Observation b35e6825-cabb-467f-9470-c2af8496806b · outbound

This paper cites Real-Time Video Generation with Pyramid Attention Broadcast.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Real-Time Video Generation with Pyramid Attention Broadcast

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.465001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86f6fc95-ddf3-4dba-9692-427e16de919b · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Open-Sora: Democratizing Efficient Video Production for All

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:39.468676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a112b229-bdc1-4221-bdf2-9c76bfd30437 · inbound

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

Efficient Video Diffusion Models: Advancements and Challenges VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:25.957197Z

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.

Observation e0fa2656-9670-4c6a-9efe-3be96fa5e0fb · inbound

Dynamic Video Generation: Shaping Video Generation Across Time and Space cites this paper.

Dynamic Video Generation: Shaping Video Generation Across Time and Space VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:43:58.844504Z

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.

Observation 66ba069b-b811-46f8-b150-417ec937ff7f · inbound

Temporal Concentration from Rollout Errors: Implicit Preference Optimization for Text-to-Video Diffusion cites this paper.

Temporal Concentration from Rollout Errors: Implicit Preference Optimization for Text-to-Video Diffusion VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T19:09:45.710658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.