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Paper Citation Record · LEDGER

Photorealistic Video Generation with Diffusion Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2312.06662.

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

pith.paper-citation-record.v1
2312.06662 v1

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 45 of 45 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 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:38.685991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:06.270972Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f3ac6d4a-7d3f-4712-a79a-fcfab2ff46af · inbound

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

VideoPoet: A Large Language Model for Zero-Shot Video Generation Photorealistic Video Generation with Diffusion Models

Reference 16

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arxiv_id, observed 2026-05-15T17:51:05.696684Z

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Observation a30b442c-f944-48d1-ac3c-51399a50592e · inbound

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

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Photorealistic Video Generation with Diffusion Models

Reference 65

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arxiv_id, observed 2026-05-13T13:43:11.133262Z

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

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Observation 83ba4456-c92e-4173-ad7c-b949f4c528b3 · inbound

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

CameraCtrl: Enabling Camera Control for Text-to-Video Generation Photorealistic Video Generation with Diffusion Models

Reference 114

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arxiv_id, observed 2026-05-13T02:06:23.609147Z

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source=arxiv_source observed=2026-05-13T02:06:23.410241Z digest=sha256:6173fa446f5a54bb5661d9bd7f810f84bd3201f2754f58ef9fe849253167fa81

Observation c9feceff-95e8-4b3e-baec-0e8f184a96fa · inbound

Diffusion Models Are Real-Time Game Engines cites this paper.

Diffusion Models Are Real-Time Game Engines Photorealistic Video Generation with Diffusion Models

Reference 64

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arxiv_id, observed 2026-05-16T12:04:44.253409Z

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

source=arxiv_source observed=2026-05-16T12:04:44.162343Z digest=sha256:64c44427d2570e63bd28f07aa40a02ba186208067f24a88911c803851e32ec13

Observation fcfa539f-3a60-4c06-91f7-08487f1a35db · inbound

Movie Gen: A Cast of Media Foundation Models cites this paper.

Movie Gen: A Cast of Media Foundation Models Photorealistic Video Generation with Diffusion Models

Reference 22

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arxiv_id, observed 2026-05-11T14:16:23.388206Z

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

source=pdf_text observed=2026-05-11T14:16:18.521699Z digest=sha256:ef09bcd0331e3a342c1b801fdb07c1e5e6e7e60087a375b9b5004f9e3ec739cc

Observation 326c7df2-d902-4793-8d7f-c32d2556a744 · inbound

LaVin-DiT: Large Vision Diffusion Transformer cites this paper.

LaVin-DiT: Large Vision Diffusion Transformer Photorealistic Video Generation with Diffusion Models

Reference 26

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source=pdf_text observed=2026-08-12T18:31:28.824916Z digest=sha256:13d3c89c991b3c017b45a070d16aab828155c225759ab7dee6b65a5aa7af315e

Observation b7da27d1-0969-47ed-afbc-874079721592 · inbound

SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input cites this paper.

SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input Photorealistic Video Generation with Diffusion Models

Reference 20

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source=pdf_text observed=2026-08-12T18:23:28.619614Z digest=sha256:dcdd8c2c71c74c89946a44a9caa02ba5a84bef455ae173ba2ecce61652906e65

Observation db49d1d6-96b5-4d72-afeb-27d3c7b383ed · inbound

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models cites this paper.

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models Photorealistic Video Generation with Diffusion Models

Reference 31

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source=pdf_text observed=2026-08-12T16:22:43.885081Z digest=sha256:d91d0beba943b43df4b0e38678813058264ace9ba890f1f4a6e6bbfdd32801ec

Observation 51ab998c-1849-4323-9129-c10b6e684341 · inbound

Privacy Protection in Personalized Diffusion Models via Targeted Cross-Attention Adversarial Attack cites this paper.

Privacy Protection in Personalized Diffusion Models via Targeted Cross-Attention Adversarial Attack Photorealistic Video Generation with Diffusion Models

Reference 7

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source=pdf_text observed=2026-08-12T13:10:06.163293Z digest=sha256:2147a96494c09955214dded25cf421fe0ad569e67d401336ab7b59a98cd124c2

Observation 9924372b-4880-403a-9df9-878a71f22ef2 · inbound

I2VControl: Disentangled and Unified Video Motion Synthesis Control cites this paper.

I2VControl: Disentangled and Unified Video Motion Synthesis Control Photorealistic Video Generation with Diffusion Models

Reference 13

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source=pdf_text observed=2026-08-12T12:36:49.227114Z digest=sha256:0935fbca3ea9036abeb8687ea1c78a8265f6ba13bf46176bcde330902163618b

Observation 3c72ac3f-05d3-4f0f-b1a3-86efe4801777 · inbound

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration cites this paper.

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration Photorealistic Video Generation with Diffusion Models

Reference 16

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source=pdf_text observed=2026-08-12T10:09:30.560157Z digest=sha256:6764e9a310d7687f63390f648bbbd9392671b4e3b271ac7a2e80cb938bfbb578

Observation 04fd7fa5-41df-4b4f-aaf1-7f95a8f68394 · inbound

MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models cites this paper.

MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models Photorealistic Video Generation with Diffusion Models

Reference 17

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source=pdf_text observed=2026-08-12T04:31:13.391642Z digest=sha256:f8378138ae671c81eef1774438f9455759aa867fb288679956b30be351a3703a

Observation 087efbe0-b9a4-4ab9-9432-f7c3f38a3c80 · inbound

ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions cites this paper.

ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions Photorealistic Video Generation with Diffusion Models

Reference 24

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source=pdf_text observed=2026-08-12T00:04:08.772500Z digest=sha256:5172d069cdb8a53e6fe029f5576b6d33015a383c178b1c82aa2318eaa341cf21

Observation b124ba76-0c48-474f-b54b-9c607d9288c6 · inbound

ARCON: Advancing Auto-Regressive Continuation for Driving Videos cites this paper.

ARCON: Advancing Auto-Regressive Continuation for Driving Videos Photorealistic Video Generation with Diffusion Models

Reference 20

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source=pdf_text observed=2026-08-11T22:11:52.484101Z digest=sha256:bb58c378e82882b05221b0e903e9c68642f157f126938789b926dda65d339b91

Observation 3c32eeff-7f4b-40b8-a49e-6c7b23399fe4 · inbound

Mind the Time: Temporally-Controlled Multi-Event Video Generation cites this paper.

Mind the Time: Temporally-Controlled Multi-Event Video Generation Photorealistic Video Generation with Diffusion Models

Reference 29

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source=pdf_text observed=2026-08-11T20:55:01.943350Z digest=sha256:1b5440a1d11134f46dc02764987648acc2b9b26a75d3f9e25fd89ca0a26af679

Observation a839529d-cd95-4a27-933c-3499cfb4054e · inbound

AniSora: Exploring the Frontiers of Animation Video Generation in the Sora Era cites this paper.

AniSora: Exploring the Frontiers of Animation Video Generation in the Sora Era Photorealistic Video Generation with Diffusion Models

Reference 2014

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source=pdf_text observed=2026-08-11T16:14:30.561174Z digest=sha256:2d6355be01ce1525b63728d37a19c1d65495ac6cc8a9816c7644d95d5dff5241

Observation 052fda56-3df9-419b-ab7d-135594bdc82d · inbound

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device cites this paper.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Photorealistic Video Generation with Diffusion Models

Reference 15

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source=pdf_text observed=2026-08-11T15:58:35.481731Z digest=sha256:20491b8db69e14c9de6fff98116d650d624efdd8a709b159edc99b96108a0499

Observation de6e8369-924f-4aa2-86ac-d29c617eb4d0 · inbound

Generative Physical AI in Vision: A Survey cites this paper.

Generative Physical AI in Vision: A Survey Photorealistic Video Generation with Diffusion Models

Reference 30

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source=pdf_text observed=2026-08-10T18:53:00.040443Z digest=sha256:b65f9733120ed8d317d393d0ac0de06c41264fc5a55ec2ae1f7f96c387c57f08

Observation 68405ef8-bd5e-47c7-b576-04b8bf3ba5a9 · inbound

Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models cites this paper.

Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models Photorealistic Video Generation with Diffusion Models

Reference 19

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source=pdf_text observed=2026-08-10T17:04:25.668990Z digest=sha256:0b7aa54655435082cfca1cb8de0d88dbc8b8f7dd4bb5da895c58b0e7c909d93f

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

CascadeV: An Implementation of Wurstchen Architecture for Video Generation cites this paper.

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 d986b921-42e1-41b7-86bb-34b5f13f1df7 · inbound

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models cites this paper.

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models Photorealistic Video Generation with Diffusion Models

Reference 18

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source=pdf_text observed=2026-08-09T16:47:12.944417Z digest=sha256:58ceda9932be6c10c30e08f9227440f811e97db9a956ce40d347becfacf3726a

Observation 084190aa-6b2b-4847-94df-d69ed9eff100 · inbound

Elucidating the Preconditioning in Consistency Distillation cites this paper.

Elucidating the Preconditioning in Consistency Distillation Photorealistic Video Generation with Diffusion Models

Reference 2014

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source=pdf_text observed=2026-08-09T10:42:54.372159Z digest=sha256:b804682096d0e245699121075ca34901482ac96066981b8723a511b54702ca01

Observation 6f4eda9c-22d6-40d1-9867-623cc893613e · 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 Photorealistic Video Generation with Diffusion Models

Reference 21

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arxiv_id, observed 2026-05-22T17:51:54.847724Z

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

source=pdf_text observed=2026-05-22T17:50:59.797593Z digest=sha256:7741387ad75220ac18635ce0a7017c4956e1bcff79f057eb0490c73ded124e58

Observation 5f047eb8-026d-4dd3-b7d0-09eb4260100f · inbound

ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models cites this paper.

ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models Photorealistic Video Generation with Diffusion Models

Reference 15

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source=pdf_text observed=2026-08-15T22:17:38.685991Z digest=sha256:7d09d5b92f014be7d7f04e8b830033558dc57be719783d502bfcfb3a528c1f09

Observation c99fa51a-c5a3-4a82-9e15-f7aa895e90d3 · inbound

Generating time-consistent dynamics with discriminator-guided image diffusion models cites this paper.

Generating time-consistent dynamics with discriminator-guided image diffusion models Photorealistic Video Generation with Diffusion Models

Reference 18

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Observation e18d67e2-6821-4e60-8bc7-f1f4ce907d13 · inbound

COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems cites this paper.

COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems Photorealistic Video Generation with Diffusion Models

Reference 13

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source=pdf_text observed=2026-08-07T15:31:08.409975Z digest=sha256:7a02b925ed3ff952d14e5027fb8ec0553d5c371224f453085d0a05b86e200e04

Observation 61bf796b-3e09-4c2e-87b7-cc8273bb1b61 · inbound

Interspatial Attention for Efficient 4D Human Video Generation cites this paper.

Interspatial Attention for Efficient 4D Human Video Generation Photorealistic Video Generation with Diffusion Models

Reference 2023

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source=pdf_text observed=2026-08-07T15:14:20.876919Z digest=sha256:9d4c37e95de99668baf68d38743ae85a061c7f643348e950bc9ae9b1417fac22

Observation b77c0f73-d6df-4241-b1fe-047f7242ff90 · inbound

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters cites this paper.

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters Photorealistic Video Generation with Diffusion Models

Reference 10

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source=pdf_text observed=2026-08-07T14:02:27.393281Z digest=sha256:95a399199c45c73f71fca514a105d6e62e2720aa463defc4652e05b82660a109

Observation 06ee8144-68cc-4d5f-a7fb-b04e5c81214d · inbound

MotionPro: A Precise Motion Controller for Image-to-Video Generation cites this paper.

MotionPro: A Precise Motion Controller for Image-to-Video Generation Photorealistic Video Generation with Diffusion Models

Reference 18

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source=pdf_text observed=2026-08-07T14:01:04.203514Z digest=sha256:30eac7b384a2969fcbab91ef3b6cb28d968f822ac268c2d634dbf3ec0333c904

Observation de3c8e32-8ac4-447b-9930-3376b4452548 · inbound

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation cites this paper.

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation Photorealistic Video Generation with Diffusion Models

Reference 15

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source=pdf_text observed=2026-08-07T11:39:47.248333Z digest=sha256:946e0dc8014d496e330647af06390b6b8506aa98e722be67186867f2d5f8c7b3

Observation 6f3eef75-6580-4523-89c6-db09473afdc4 · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting Photorealistic Video Generation with Diffusion Models

Reference 3

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source=pdf_text observed=2026-08-07T10:28:59.043553Z digest=sha256:42142a338c30e6e59f23f326f94bab2da407b4614538803505c467627654ecdb

Observation 9aa97890-913d-46a5-b73b-1e8b60084817 · inbound

ContentV: Efficient Training of Video Generation Models with Limited Compute cites this paper.

ContentV: Efficient Training of Video Generation Models with Limited Compute Photorealistic Video Generation with Diffusion Models

Reference 15

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source=pdf_text observed=2026-08-07T10:28:30.991346Z digest=sha256:6b034dc5eac800d81698c0a0b9eb32d79864595324683c9fa091ee1086190bdc

Observation 164efe7c-5622-4255-b10c-c1789a45d6c6 · inbound

Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales cites this paper.

Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales Photorealistic Video Generation with Diffusion Models

Reference 14

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source=pdf_text observed=2026-08-15T18:31:43.570995Z digest=sha256:b62ae6562abff2c4d7c6e04a292aa56d38f80f1256609d2d50285b73b0edf215

Observation 5296e79a-5b8e-4535-bcda-9fd25decd065 · inbound

HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling cites this paper.

HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling Photorealistic Video Generation with Diffusion Models

Reference 2024

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source=pdf_text observed=2026-08-06T22:54:20.474769Z digest=sha256:3f4ea678c889daec6dd8b1cfd4c8de82102d0777db137a3afeb2ac89a50a1e3c

Observation 1909a206-97fe-472a-ac8f-167bc2ca06ff · inbound

Populate-A-Scene: Affordance-Aware Human Video Generation cites this paper.

Populate-A-Scene: Affordance-Aware Human Video Generation Photorealistic Video Generation with Diffusion Models

Reference 2011

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source=pdf_text observed=2026-08-06T21:23:12.701371Z digest=sha256:a2c9f11d74e59c6dfd1356f41029fdc190d8e65d047821bc87d4516419327cec

Observation df264099-6cb3-4fa3-84af-63348cd90316 · inbound

MambaVideo for Discrete Video Tokenization with Channel-Split Quantization cites this paper.

MambaVideo for Discrete Video Tokenization with Channel-Split Quantization Photorealistic Video Generation with Diffusion Models

Reference 9

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source=pdf_text observed=2026-08-06T19:52:28.048781Z digest=sha256:5ecaf16add52e2561d0529e6d4afb4f1d72d75e05a171aeda1c6babc1ec5cdea

Observation cfb24bf3-a349-4e53-8ef7-8937b27eefbc · inbound

Leveraging Pre-Trained Visual Models for AI-Generated Video Detection cites this paper.

Leveraging Pre-Trained Visual Models for AI-Generated Video Detection Photorealistic Video Generation with Diffusion Models

Reference 8

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Observation e494224f-783c-44d9-a4e8-553a716c5c68 · inbound

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments cites this paper.

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments Photorealistic Video Generation with Diffusion Models

Reference 18

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unresolved
no resolver link, observed 2026-08-03T13:00:53.564961Z

Source-reported events for the cited work

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Observation 9aacd0c8-bc0e-49ab-8c5f-6d1807527a11 · inbound

VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment cites this paper.

VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment Photorealistic Video Generation with Diffusion Models

Reference 15

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unresolved
no resolver link, observed 2026-07-13T23:54:26.281624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:54:26.281624Z digest=sha256:fcaaebbc8c9486c31da8ef3765d6a09f78ede4c14dc1461cceee81fc86cd3d79

Observation 3e850b7c-8641-40ec-8a7b-5fbd5956c6e7 · inbound

ActionParty: Multi-Subject Action Binding in Generative Video Games cites this paper.

ActionParty: Multi-Subject Action Binding in Generative Video Games Photorealistic Video Generation with Diffusion Models

Reference 25

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unresolved
no resolver link, observed 2026-08-03T00:56:26.681009Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T00:56:26.681009Z digest=sha256:a7b588007023cf9021b03d1b8fe7f19e5a11bfd83a9211bd665738bface39f13

Observation 46724067-61c0-43c5-8aa0-489cb5a9c90a · inbound

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation cites this paper.

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation Photorealistic Video Generation with Diffusion Models

Reference 67

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verified exact
arxiv_id, observed 2026-05-13T04:42:15.910426Z

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=2026-05-13T04:40:25.725622Z digest=sha256:530a478804b6caf423ac0e6058288b85e21084266fcbed1b9c1a57279cafea79

Observation fea15afe-2dd3-40df-a52e-8c915ee709b1 · inbound

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment cites this paper.

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment Photorealistic Video Generation with Diffusion Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:24:41.374599Z

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=2026-05-21T06:24:04.891249Z digest=sha256:6e73a8de372af65e54829ba36dde4d06c30532c3ef011a9dd4d1e1678c3999ad

Observation c478c0f3-14a3-4589-b0f0-73b3a17e2a9f · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Photorealistic Video Generation with Diffusion Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:28:39.252659Z

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=2026-06-27T05:35:01.339479Z digest=sha256:4ab55a57eecb2c74976b4d28e652bff13b2133e007811714721ab0cc334b3028

Observation 0223f2b8-b3e5-4bca-b223-61ee4a7cb261 · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Photorealistic Video Generation with Diffusion Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:06.273126Z

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=2026-07-03T23:50:39.241880Z digest=sha256:e2ddbbee50939f399b284a238f70887182204678061994e59b61185c56451439

Observation 6c3ff821-3318-4749-98d1-c52e4123b75a · inbound

WaiT for the Signal: Simple Frequency-Aware Flow-Matching cites this paper.

WaiT for the Signal: Simple Frequency-Aware Flow-Matching Photorealistic Video Generation with Diffusion Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T00:34:35.423426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:34:35.423426Z digest=sha256:864994cdf841fb2ea3ff4aea975629fe62a73393a235b908e8c762e2169b7de9