Paper Citation Record · LEDGER

Understanding Attention Mechanism in Video Diffusion Models

As of 18 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 4 inbound Pith citation observations for arXiv:2504.12027.

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

pith.paper-citation-record.v1
2504.12027 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:31.484674Z

measured 54 of 54 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:57:01.325386Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:39:35.661863Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
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External citation measurements

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Outbound references

Observation 28184173-d3e3-4b75-8c3b-ce7f221821d5 · outbound

This paper cites Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance.

Understanding Attention Mechanism in Video Diffusion Models Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance

Reference 1

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Source-reported events for the cited work

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Observation 5d3f72be-4427-4338-a82d-eb16a8037929 · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

Understanding Attention Mechanism in Video Diffusion Models Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.782458Z

Source-reported events for the cited work

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Observation 04fc034c-9831-44a4-acb6-cb2d038170fa · outbound

This paper cites Huang, and Niloy J.

Understanding Attention Mechanism in Video Diffusion Models Huang, and Niloy J

Reference 3

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Observation b4e85b25-60e0-4ad7-85b4-aefd6026532e · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024.

Understanding Attention Mechanism in Video Diffusion Models Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024

Reference 4

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Observation eacc89e2-7e6d-43f4-b4d9-49bce61cc9b7 · outbound

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

Understanding Attention Mechanism in Video Diffusion Models PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

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Observation 1e0866b4-d85a-42b6-9893-81c5a1aaf99f · outbound

This paper cites Slicedit: Zero- shot video editing with text-to-image diffusion models using spatio-temporal slices.

Understanding Attention Mechanism in Video Diffusion Models Slicedit: Zero- shot video editing with text-to-image diffusion models using spatio-temporal slices

Reference 6

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Observation b1492cd3-7c55-4fe6-bec8-d5cfe02febf0 · outbound

This paper cites FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing.

Understanding Attention Mechanism in Video Diffusion Models FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing

Reference 7

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Observation 99cc7e0c-fa27-4c63-9f4b-fdb46b409465 · outbound

This paper cites Stylegan-nada: Clip- guided domain adaptation of image generators.

Understanding Attention Mechanism in Video Diffusion Models Stylegan-nada: Clip- guided domain adaptation of image generators

Reference 8

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Observation 36a7cf5c-89f1-4f08-adc5-cce126937d41 · outbound

This paper cites Efros, and Jacob Steinhardt.

Understanding Attention Mechanism in Video Diffusion Models Efros, and Jacob Steinhardt

Reference 9

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Observation 0324039f-efae-47e2-9911-9c0fd7b0dfba · outbound

This paper cites TokenFlow: Consistent Diffusion Features for Consistent Video Editing.

Understanding Attention Mechanism in Video Diffusion Models TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Reference 10

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Source-reported events for the cited work

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Observation 2aaebf9c-ef78-4e9c-a11a-11f1ed0937ae · outbound

This paper cites Entropy and information theory.

Understanding Attention Mechanism in Video Diffusion Models Entropy and information theory

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.652649Z

Source-reported events for the cited work

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Observation f8743714-09d6-41d9-b96c-403e5de9c1be · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Understanding Attention Mechanism in Video Diffusion Models AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 12

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Source-reported events for the cited work

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Observation 4c01a08e-169b-45cd-81d2-fb133e03c532 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Understanding Attention Mechanism in Video Diffusion Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 13

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Source-reported events for the cited work

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Observation d6e8add7-66bf-41ef-a166-44d0ad7e0dff · outbound

This paper cites Classifier-Free Diffusion Guidance.

Understanding Attention Mechanism in Video Diffusion Models Classifier-Free Diffusion Guidance

Reference 14

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Source-reported events for the cited work

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Observation e90fb4c2-3a3c-4e1f-a070-2c74823400a9 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Understanding Attention Mechanism in Video Diffusion Models Denoising diffu- sion probabilistic models

Reference 15

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Source-reported events for the cited work

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Observation d740040b-6acb-4f78-9194-619546a1a3a4 · outbound

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

Understanding Attention Mechanism in Video Diffusion Models CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 16

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Source-reported events for the cited work

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Observation 1540c488-1d25-455b-a95e-3b139abf59bb · outbound

This paper cites VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet.

Understanding Attention Mechanism in Video Diffusion Models VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet

Reference 17

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Observation 1ea0d7ce-5ed1-423b-9969-7bc34301cca0 · outbound

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

Understanding Attention Mechanism in Video Diffusion Models Vbench: Comprehensive benchmark suite for video generative models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.607531Z

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 b9f640ff-4ffe-48ac-ad78-990de883dacc · outbound

This paper cites Pnp inversion: Boosting diffusion-based editing with 3 lines of code.

Understanding Attention Mechanism in Video Diffusion Models Pnp inversion: Boosting diffusion-based editing with 3 lines of code

Reference 19

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Source-reported events for the cited work

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Observation cf3d74dd-480d-47de-b6fe-5430babe5956 · outbound

This paper cites AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks.

Understanding Attention Mechanism in Video Diffusion Models AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Reference 20

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Observation 6f2313c0-1aff-4298-8efd-b447edf1bff2 · outbound

This paper cites Shannon entropy: a rigorous notion at the crossroads between probability, information theory, dynami- cal systems and statistical physics.

Understanding Attention Mechanism in Video Diffusion Models Shannon entropy: a rigorous notion at the crossroads between probability, information theory, dynami- cal systems and statistical physics

Reference 21

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Observation dc9f41c5-f5f1-47ab-b673-6f68df039d55 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Understanding Attention Mechanism in Video Diffusion Models Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 22

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Source-reported events for the cited work

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Observation 789b0293-39b2-4d68-a181-ff02139600df · outbound

This paper cites Flowvid: Taming imperfect optical flows for consistent video-to-video synthe- sis.

Understanding Attention Mechanism in Video Diffusion Models Flowvid: Taming imperfect optical flows for consistent video-to-video synthe- sis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.525401Z

Source-reported events for the cited work

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Observation cec16c4d-3e28-4857-983a-6ebf3fd2661c · outbound

This paper cites Animatediff-lightning: Cross- model diffusion distillation, 2024.

Understanding Attention Mechanism in Video Diffusion Models Animatediff-lightning: Cross- model diffusion distillation, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.504733Z

Source-reported events for the cited work

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Observation b40ae706-80d3-4cee-88a5-d9c4769158ae · outbound

This paper cites AnimateDiff-Lightning: Cross-Model Diffusion Distillation.

Understanding Attention Mechanism in Video Diffusion Models AnimateDiff-Lightning: Cross-Model Diffusion Distillation

Reference 25

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Source-reported events for the cited work

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Observation 1d10e7c1-baec-4af9-b417-382d3d416689 · outbound

This paper cites Towards understanding cross and self-attention in stable diffusion for text-guided image editing.

Understanding Attention Mechanism in Video Diffusion Models Towards understanding cross and self-attention in stable diffusion for text-guided image editing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.484181Z

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

Observation d0100158-66be-42fd-8689-0668975c6369 · outbound

This paper cites Video-p2p: Video editing with cross-attention control.

Understanding Attention Mechanism in Video Diffusion Models Video-p2p: Video editing with cross-attention control

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.464746Z

Source-reported events for the cited work

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Observation 28af9a09-e01c-4d5a-9faa-6dd7e6b5c10e · outbound

This paper cites sora, 2024.

Understanding Attention Mechanism in Video Diffusion Models sora, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.444011Z

Source-reported events for the cited work

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Observation b13e67c8-5381-4740-b0c9-55a4b46ba2c5 · outbound

This paper cites Scalable diffusion models with transformers.

Understanding Attention Mechanism in Video Diffusion Models Scalable diffusion models with transformers

Reference 29

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Source-reported events for the cited work

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Observation f61be9e5-8588-4538-ba22-660cb9280207 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Understanding Attention Mechanism in Video Diffusion Models The 2017 DAVIS Challenge on Video Object Segmentation

Reference 30

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Observation 646aff54-ba56-4cac-b55f-cb435c56813b · outbound

This paper cites Fatezero: Fusing attentions for zero-shot text-based video editing.

Understanding Attention Mechanism in Video Diffusion Models Fatezero: Fusing attentions for zero-shot text-based video editing

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.409320Z

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Observation 315a05b8-8db4-45f9-b69e-a6b5a1985461 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Understanding Attention Mechanism in Video Diffusion Models Learning transferable visual models from natural language supervi- sion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.386584Z

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Observation 8ce765c9-dd34-442b-87e3-612363d75a10 · outbound

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

Understanding Attention Mechanism in Video Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 33

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Observation 21cab84d-4957-4f36-a071-21b01ce5ea4f · outbound

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Understanding Attention Mechanism in Video Diffusion Models Unresolved cited work

Reference 34

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Observation 34096daa-462a-4624-87ac-1f2ca2473c7d · outbound

This paper cites Laion-5b: An open large-scale dataset for training next gen- eration image-text models.

Understanding Attention Mechanism in Video Diffusion Models Laion-5b: An open large-scale dataset for training next gen- eration image-text models

Reference 35

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Observation d1bb81df-cc30-4667-873c-7f51698414f3 · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

Understanding Attention Mechanism in Video Diffusion Models Freeu: Free lunch in diffusion u-net

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.296437Z

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Observation 2f25519f-e36f-461c-9192-b2156a7f4577 · outbound

This paper cites Denoising diffusion implicit models.

Understanding Attention Mechanism in Video Diffusion Models Denoising diffusion implicit models

Reference 37

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Observation a2806c3a-d8b5-4abd-bf1f-3015bbb17737 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to- image translation.

Understanding Attention Mechanism in Video Diffusion Models Plug-and-play diffusion features for text-driven image-to- image translation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.244343Z

Source-reported events for the cited work

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Observation e4623132-61b5-41e4-a80e-2d57c3223313 · outbound

This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.

Understanding Attention Mechanism in Video Diffusion Models LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 39

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

Understanding Attention Mechanism in Video Diffusion Models Image quality assessment: from error visibility to structural similarity

Reference 40

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This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

Understanding Attention Mechanism in Video Diffusion Models Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.208345Z

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Observation bc73c21b-723b-4b54-afea-89d2fd853a82 · outbound

This paper cites CVPR 2023 Text Guided Video Editing Competition.

Understanding Attention Mechanism in Video Diffusion Models CVPR 2023 Text Guided Video Editing Competition

Reference 42

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Observation 1e1a0d22-40af-4bc5-85ca-17a9a3f792ad · outbound

This paper cites Easyanimate: A high-performance long video generation method based on transformer architecture.

Understanding Attention Mechanism in Video Diffusion Models Easyanimate: A high-performance long video generation method based on transformer architecture

Reference 43

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Source-reported events for the cited work

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Observation 41c8cb1a-7afa-4c3c-a385-f4386f676aa3 · outbound

This paper cites Rerender a video: Zero-shot text-guided video-to-video trans- lation.

Understanding Attention Mechanism in Video Diffusion Models Rerender a video: Zero-shot text-guided video-to-video trans- lation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.177894Z

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Observation e0be45d1-9e91-4d9e-b66c-4c69658507ba · outbound

This paper cites Fresco: Spatial-temporal correspondence for zero-shot video translation.

Understanding Attention Mechanism in Video Diffusion Models Fresco: Spatial-temporal correspondence for zero-shot video translation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.153477Z

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Observation 2cd3b3e0-693f-4fdf-b178-14fd3de352b8 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Understanding Attention Mechanism in Video Diffusion Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 46

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Source-reported events for the cited work

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Observation b8a5c7dd-e42f-47f1-986c-0cdf94360be4 · outbound

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

Understanding Attention Mechanism in Video Diffusion Models The unreasonable effectiveness of deep features as a perceptual metric

Reference 47

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Source-reported events for the cited work

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Observation fbac40cc-c878-40c5-800f-2e7b0d975166 · outbound

This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.

Understanding Attention Mechanism in Video Diffusion Models ControlVideo: Training-free Controllable Text-to-Video Generation

Reference 48

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Source-reported events for the cited work

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Observation 5bc4f304-4ac9-4a23-afb1-0f99d901b187 · outbound

This paper cites Implementation Details Our experimental setup is described as follows: For video generation using AnimateDiff,1 the model is initialized with a ‘torch.float16‘ data type.

Understanding Attention Mechanism in Video Diffusion Models Implementation Details Our experimental setup is described as follows: For video generation using AnimateDiff,1 the model is initialized with a ‘torch.float16‘ data type

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:32.106980Z

Source-reported events for the cited work

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Observation 67e21b67-a049-4573-ad0d-0f3e6b2e12cc · outbound

This paper cites an unresolved cited work.

Understanding Attention Mechanism in Video Diffusion Models Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:32.075030Z

Source-reported events for the cited work

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Pith citing papers

Observation 9b77efe5-856d-4308-be80-e0fd4af3d99b · inbound

Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing cites this paper.

Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing Understanding Attention Mechanism in Video Diffusion Models

Reference 16

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Observation f54742b7-ba7b-4154-8d07-93cca00622ba · inbound

Attention of a Kiss: Exploring Attention Maps in Video Diffusion for XAIxArts cites this paper.

Attention of a Kiss: Exploring Attention Maps in Video Diffusion for XAIxArts Understanding Attention Mechanism in Video Diffusion Models

Reference 8

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Observation 716819a8-bbee-4039-babd-ae4268c12ee8 · inbound

CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal cites this paper.

CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal Understanding Attention Mechanism in Video Diffusion Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:39:35.663851Z

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Controlling Motion Transfer in Diffusion Transformers via Attention Heads cites this paper.

Controlling Motion Transfer in Diffusion Transformers via Attention Heads Understanding Attention Mechanism in Video Diffusion Models

Reference 28

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