Paper Citation Record · LEDGER

Playing with Transformer at 30+ FPS via Next-Frame Diffusion

As of 8 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 7 inbound Pith citation observations for arXiv:2506.01380.

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

pith.paper-citation-record.v1
2506.01380 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:46.876113Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:43:37.510074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:54:57.961666Z

Reference resolution

68 of 68 outbound references displayed

verified exact0
verified fuzzy12
unresolved56
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 244b70f9-ebf8-4ce1-8757-fca7a6da178c · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Cosmos World Foundation Model Platform for Physical AI

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb49a71e-b600-4a27-bc94-5c19ddb3f2af · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Diffusion for world modeling: Visual details matter in atari

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:41.724851Z

Source-reported events for the cited work

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Observation 01b31326-a147-4769-abcc-850662967b95 · outbound

This paper cites Block diffusion: Interpolating between autoregressive and diffusion language models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Block diffusion: Interpolating between autoregressive and diffusion language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:50.211033Z

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Observation 5052c2e3-eb6e-4d5b-ad36-2245576cd7ff · outbound

This paper cites Video pretraining (vpt): Learning to act by watching unlabeled online videos.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Video pretraining (vpt): Learning to act by watching unlabeled online videos

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:49.982602Z

Source-reported events for the cited work

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Observation ed5dc038-8008-495b-86fb-10591f58257b · outbound

This paper cites Language models are few-shot learners.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Language models are few-shot learners

Reference 5

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Source-reported events for the cited work

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Observation 0ec95660-fa27-44ff-895f-bd061699fefa · outbound

This paper cites Genie: Generative interactive environments.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Genie: Generative interactive environments

Reference 6

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Source-reported events for the cited work

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Observation d699f9dc-f578-41f3-9d70-722e4d6eaaa6 · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 7

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Source-reported events for the cited work

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Observation 4419b65c-9ab0-42a4-971f-c21882a4a9c5 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Diffusion forcing: Next-token prediction meets full-sequence diffusion

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f067ec0-c780-4392-ad75-32d7e4a8449d · outbound

This paper cites Sana-sprint: One-step diffusion with continuous-time consistency distillation.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Sana-sprint: One-step diffusion with continuous-time consistency distillation

Reference 9

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Source-reported events for the cited work

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Observation 794491b1-9a61-44bd-8399-e6d5650962a6 · outbound

This paper cites IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI

Reference 10

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Source-reported events for the cited work

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Observation 55a430e0-325c-4524-8c13-2f8e5b2eb418 · outbound

This paper cites CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:42.283209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05958ecd-d84a-4b4a-8956-9ace4dfdf4f1 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Diffusion policy: Visuomotor policy learning via action diffusion

Reference 12

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Source-reported events for the cited work

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Observation 614d844f-25fa-4288-b6c3-c257825fa05b · outbound

This paper cites Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion

Reference 13

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Source-reported events for the cited work

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Observation 5a8c4109-0bdf-4b38-b94a-da12a55010be · outbound

This paper cites Accelerated Diffusion Models via Speculative Sampling.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Accelerated Diffusion Models via Speculative Sampling

Reference 14

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Source-reported events for the cited work

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Observation 98710a6b-25bd-40cd-8280-d7ecc15005d5 · outbound

This paper cites Oasis: A universe in a transformer.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Oasis: A universe in a transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:49.594996Z

Source-reported events for the cited work

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Observation 555ffc70-71d1-4176-8a2d-8315aef0adf2 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Diffusion models beat gans on image synthesis

Reference 16

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Source-reported events for the cited work

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Observation 7e9145c7-2721-4514-a17c-e447792d10fb · outbound

This paper cites Learning universal policies via text-guided video generation.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Learning universal policies via text-guided video generation

Reference 17

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Source-reported events for the cited work

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Observation 896a152c-dc74-46c7-9765-1834df733d95 · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 18

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Source-reported events for the cited work

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Observation 9b5c2a66-effd-4e70-91f4-e9e926a1d3d7 · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Taming transformers for high-resolution image synthesis

Reference 19

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Source-reported events for the cited work

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Observation 25872947-c2bd-4564-9b4b-80de0aa5fc1c · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Vista: A generalizable driving world model with high fidelity and versatile controllability

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:49.346082Z

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Observation 4ba8dbc8-c918-4eb4-b0d6-ad4fea3cc9e3 · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 21

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Source-reported events for the cited work

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Observation 92d671bb-a3a7-4acd-bea1-766cfceef618 · outbound

This paper cites MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft

Reference 22

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Source-reported events for the cited work

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Observation 84a16ecb-f50c-4525-9fb5-88aa4bc0fa82 · outbound

This paper cites World Models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion World Models

Reference 23

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Source-reported events for the cited work

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Observation a041ef9d-72a0-4fe4-b8e4-6ee3aa4b97e1 · outbound

This paper cites Mastering Diverse Domains through World Models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Mastering Diverse Domains through World Models

Reference 24

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Source-reported events for the cited work

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Observation 27b1f4b2-18df-4db5-91f1-8708ce935c74 · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Imagen Video: High Definition Video Generation with Diffusion Models

Reference 25

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Source-reported events for the cited work

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Observation 9b507f31-7b1a-4daf-ada6-45498c6f5a7b · outbound

This paper cites Denoising diffusion probabilistic models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Denoising diffusion probabilistic models

Reference 26

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Observation 8022c61b-1d09-4c0b-abe9-1a3830976dc7 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion GAIA-1: A Generative World Model for Autonomous Driving

Reference 27

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Observation 7eb626a3-f55d-4c06-b5b6-288a638f1d38 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Elucidating the design space of diffusion-based generative models

Reference 28

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Observation 9b8a44f7-e077-45ec-9dc4-9a958dc95356 · outbound

This paper cites Learning to simulate dynamic environments with gamegan.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Learning to simulate dynamic environments with gamegan

Reference 29

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Observation f94f38e9-fc56-4ca3-9d86-bed4c5f7feca · outbound

This paper cites Adam: A method for stochastic optimization.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Adam: A method for stochastic optimization

Reference 30

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Observation d457942c-d70c-44ed-a610-bb856991f381 · outbound

This paper cites Videopoet: A large language model for zero-shot video generation.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Videopoet: A large language model for zero-shot video generation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:48.865142Z

Source-reported events for the cited work

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Observation 0f3acd39-c673-4d9f-bd75-efd65314df84 · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 32

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Observation 831cc28a-985a-49d5-aeb2-ad88c629ebdd · outbound

This paper cites Fast inference from transformers via speculative decoding.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Fast inference from transformers via speculative decoding

Reference 33

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Observation 9a681093-c219-414d-bba4-996fb72b1165 · outbound

This paper cites Autoregressive image generation without vector quantization.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Autoregressive image generation without vector quantization

Reference 34

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This paper cites Flow matching for generative modeling.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Flow matching for generative modeling

Reference 35

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Observation cb3697ee-4b98-462b-a585-1e7d43bee3cc · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 36

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Observation a127a3b0-bf61-42ad-bc05-c61bcf86d895 · outbound

This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 37

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Observation 064070d2-898e-499e-9c37-14aa8aba7101 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 38

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Observation 6c9bea53-8c1e-4823-9143-fe3bebe56106 · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Unresolved cited work

Reference 39

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Observation 50e4430f-ac5a-49a2-a0ec-fcb87473229b · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Pytorch: An imperative style, high-performance deep learning library

Reference 40

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Observation 997a0c0e-7b37-40d6-a318-66fe5816d0a3 · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Scalable diffusion models with transformers

Reference 41

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Observation 36275562-bb18-48f9-bcf3-fcbefeaf1c6f · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Movie Gen: A Cast of Media Foundation Models

Reference 42

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Observation d3a2258f-eda7-4680-9303-375ca7af16d0 · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion U-net: Convolutional networks for biomedical image segmentation

Reference 43

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Observation 758a92ba-c5cf-4ec5-bd22-2dad472cd609 · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 44

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Progressive Distillation for Fast Sampling of Diffusion Models

Reference 45

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Unresolved cited work

Reference 46

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Observation 9014dacf-a4df-4dd1-abe8-536867e34a55 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Mastering atari, go, chess and shogi by planning with a learned model

Reference 47

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Observation 4139b3eb-4354-4a14-897b-c21ada20b60c · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 48

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Denoising Diffusion Implicit Models

Reference 49

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Consistency models

Reference 50

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Observation ef69d201-f105-4960-bf9c-554ac4c7e766 · outbound

This paper cites VidTok: A Versatile and Open-Source Video Tokenizer.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion VidTok: A Versatile and Open-Source Video Tokenizer

Reference 51

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Observation 82f4af78-8928-40ad-8d5b-fe5b1a6d6a93 · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion LLaMA: Open and Efficient Foundation Language Models

Reference 52

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 53

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Observation a15bba91-5386-4aaa-bd82-07dc7b2dfcff · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Diffusion Models Are Real-Time Game Engines

Reference 54

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Source-reported events for the cited work

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Observation a71b5ed8-f426-4118-bc98-ee61850d411f · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion SparseDM: Toward Sparse Efficient Diffusion Models

Reference 55

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Source-reported events for the cited work

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Observation de718956-e0a8-4e10-ac15-e6ff202e9df5 · outbound

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Playing with Transformer at 30+ FPS via Next-Frame Diffusion Image quality assessment: from error visibility to structural similarity

Reference 56

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Source-reported events for the cited work

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Observation 944b68fc-c7cf-41f4-a0b2-7e15d97f381f · outbound

This paper cites ivideogpt: Interactive videogpts are scalable world models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion ivideogpt: Interactive videogpts are scalable world models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:45.793677Z

Source-reported events for the cited work

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Observation 5867bbd9-0c42-4daa-9eea-7c3cdbca4bb9 · outbound

This paper cites Structured 3d latents for scalable and versatile 3d generation.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Structured 3d latents for scalable and versatile 3d generation

Reference 58

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Observation 006165f0-d22d-45b4-9a01-8dac9f634583 · outbound

This paper cites Pandora: Towards General World Model with Natural Language Actions and Video States.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Pandora: Towards General World Model with Natural Language Actions and Video States

Reference 59

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Observation 0e869d7d-1207-4229-9ba0-c76a48058a43 · outbound

This paper cites Learning interactive real-world simulators.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Learning interactive real-world simulators

Reference 60

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Observation 76a209fa-6616-4f33-a3b4-a610861537af · outbound

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

Playing with Transformer at 30+ FPS via Next-Frame Diffusion CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 61

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Observation 3679763c-168a-4206-98dc-f77eea973d1c · outbound

This paper cites One-step diffusion with distribution matching distillation.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion One-step diffusion with distribution matching distillation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:46.325346Z

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Observation 595a32b9-49df-4289-9282-8ed39999edc2 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion From slow bidirectional to fast autoregressive video diffusion models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:46.430341Z

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Observation fdf71b7a-fb16-4023-b770-e1a77b564d81 · outbound

This paper cites Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models

Reference 64

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Observation 3cf5599f-d2c9-4bae-95ac-a89b1cab702f · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:48.182571Z

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Observation 9653b660-e1e2-4245-9f08-35784f3d887a · outbound

This paper cites Drivedreamer-2: Llm-enhanced world models for diverse driving video gen- eration.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Drivedreamer-2: Llm-enhanced world models for diverse driving video gen- eration

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:48.009638Z

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Observation d75d06a7-22a2-4eef-add7-1fb68169bf7b · outbound

This paper cites Genad: Gen- erative end-to-end autonomous driving.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion Genad: Gen- erative end-to-end autonomous driving

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:46.822591Z

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Observation 2bba489d-707c-40e4-b46a-73d633d75228 · outbound

This paper cites "" model : Distilled NFD + model vid : Input video tensor act : Action sequence tensor.

Playing with Transformer at 30+ FPS via Next-Frame Diffusion "" model : Distilled NFD + model vid : Input video tensor act : Action sequence tensor

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:47.872390Z

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Pith citing papers

Observation 85ed9549-5a85-4e0b-9220-f9468c6cb2a5 · inbound

Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling cites this paper.

Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 16

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Observation 6fe79ce5-4e09-44a6-9f1a-f37ed8288403 · inbound

Matrix-game 2.0: An open-source real-time and streaming interactive world model cites this paper.

Matrix-game 2.0: An open-source real-time and streaming interactive world model Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 11

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Observation 2b2e644a-d463-4e90-9339-514e08ab82df · inbound

RoDyn: Taming Interactive Robot-Dynamic 2.5D World Model for Robotic Manipulation cites this paper.

RoDyn: Taming Interactive Robot-Dynamic 2.5D World Model for Robotic Manipulation Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 7

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Observation 73a3b47d-225f-4037-bc31-628ccd0cdf46 · inbound

Envisioning the Future, One Step at a Time cites this paper.

Envisioning the Future, One Step at a Time Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 26

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Observation 63b7fccf-b51d-41fe-a17e-679b03228f9c · inbound

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

Efficient Video Diffusion Models: Advancements and Challenges Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 245

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:26.144191Z

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Observation 7f4661b4-163d-45c9-a1d4-182b8e7013ae · inbound

Rethinking Cross-Layer Information Routing in Diffusion Transformers cites this paper.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 10

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Observation 304a5c1b-a27a-4192-b7c2-c58efde9de4b · inbound

Rethinking Cross-Layer Information Routing in Diffusion Transformers cites this paper.

Rethinking Cross-Layer Information Routing in Diffusion Transformers Playing with Transformer at 30+ FPS via Next-Frame Diffusion

Reference 10

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