Paper Citation Record · LEDGER

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

As of 11 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 6 inbound Pith citation observations for arXiv:2412.09856.

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

pith.paper-citation-record.v1
2412.09856 v2

Coverage vector

measured 76 of 76 reference resolution

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

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Reference resolution

76 of 76 outbound references displayed

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External citation measurements

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Outbound references

Observation 67be81be-11f0-4b4e-b2e0-c5f26f9a2a65 · outbound

This paper cites Video generation models as world simu- lators.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Video generation models as world simu- lators

Reference 1

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Observation 4546eec7-2c32-4ebc-8dde-fd71c16bff2a · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 2

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This paper cites VideoCrafter2: Overcoming data limitations for high-quality video diffu- sion models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity VideoCrafter2: Overcoming data limitations for high-quality video diffu- sion models

Reference 3

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Observation 8f8f8991-fcd0-4764-9516-13c1a0eae939 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 4

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Observation 3fa3e2dc-c0a3-451d-ac0c-e511652471a0 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 5

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Observation 1a6c9d8d-052b-4f2b-82a6-6806e2bd1ac3 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 6

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Observation 434e6069-d101-43fc-a7de-3ca178f17454 · outbound

This paper cites FlashAttention: Fast and memory-efficient exact attention with IO-awareness.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity FlashAttention: Fast and memory-efficient exact attention with IO-awareness

Reference 7

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Observation f707be84-4ea5-4a18-8d5c-5e57d64d9060 · outbound

This paper cites Alabdul- mohsin, et al.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Alabdul- mohsin, et al

Reference 8

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Observation 98cbeb64-83b5-48aa-82dc-8039ff9a7c47 · outbound

This paper cites The Llama 3 Herd of Models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity The Llama 3 Herd of Models

Reference 9

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Observation f72e4609-bef2-4b9f-a8f0-2769afa8be51 · outbound

This paper cites Matten: Video Generation with Mamba-Attention.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Matten: Video Generation with Mamba-Attention

Reference 10

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Observation e1c7108d-86e9-429d-a487-cdda0b005945 · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 11

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Observation a39fe9b4-09d7-466f-aa97-d98a4220b74b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

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Observation 87fb6a4b-1dda-4eb5-b2e8-90a140483ca2 · outbound

This paper cites HiPPO: Recurrent memory with optimal polyno- mial projections.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity HiPPO: Recurrent memory with optimal polyno- mial projections

Reference 13

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Observation 1f31fdff-1860-4e54-b596-3d9f364712c7 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

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Observation 8016844c-8074-43e6-ac6c-97465382bbf7 · outbound

This paper cites MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 15

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Observation 69c39173-1b98-43c4-bfcd-3fc74f86e966 · outbound

This paper cites Denoising diffu- sion probabilistic models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Denoising diffu- sion probabilistic models

Reference 16

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Observation 73af2afb-1f10-42fb-abe2-0fb5db852272 · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Imagen Video: High Definition Video Generation with Diffusion Models

Reference 17

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Observation 5584c0cd-a842-4134-932b-2bfe21d80aea · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 18

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Observation b87f8b7d-304b-4486-a080-f9a33cad1989 · outbound

This paper cites ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 19

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Observation 93a6088d-2350-4891-84b1-d660d273be6d · outbound

This paper cites VBench: Com- prehensive benchmark suite for video generative models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity VBench: Com- prehensive benchmark suite for video generative models

Reference 20

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Observation ebc306c6-34c7-4484-8efc-8ab750767b79 · outbound

This paper cites MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions

Reference 21

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Observation 304a5e6a-d94e-4091-ac81-b411f442c56b · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Imagic: Text-based real image editing with diffusion models

Reference 22

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Observation c8adbf2d-ef64-428e-be91-d8aabb0f3530 · outbound

This paper cites BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion

Reference 23

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Observation 4338dae4-dca8-43f4-9558-30ae7b5529c1 · outbound

This paper cites Kling AI: Next-generation AI creative studio.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Kling AI: Next-generation AI creative studio

Reference 24

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Observation 096d883a-35b0-4f2e-ae7c-ebe3d2b8644d · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 25

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This paper cites Pika labs.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Pika labs

Reference 26

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Observation dced3c44-002a-4e03-9d1e-b8d38aaf19b1 · outbound

This paper cites xFormers: A modular and hackable trans- former modelling library.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity xFormers: A modular and hackable trans- former modelling library

Reference 27

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Observation 49a8df5e-1cf7-4675-a3cd-d7887bad7f70 · outbound

This paper cites T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 28

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Observation e5c55d33-5deb-4072-9510-1050b5d2165c · outbound

This paper cites T2V- Turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.arXiv preprint arXiv:2410.05677, 2024.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity T2V- Turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.arXiv preprint arXiv:2410.05677, 2024

Reference 29

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Observation 9d4794f3-5e65-4028-a7b2-3285f26d365e · outbound

This paper cites Flow Matching for Generative Modeling.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Flow Matching for Generative Modeling

Reference 30

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Observation 6c9fc96a-32fe-40db-b94b-5173b6635299 · outbound

This paper cites Swin Transformer: Hierarchical vision transformer using shifted windows.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Swin Transformer: Hierarchical vision transformer using shifted windows

Reference 31

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Observation aba8da3d-3592-41ea-862f-9e30436b6564 · outbound

This paper cites VDT: General-purpose Video Diffusion Transformers via Mask Modeling.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity VDT: General-purpose Video Diffusion Transformers via Mask Modeling

Reference 32

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This paper cites Dream machine.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Dream machine

Reference 33

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Observation 93f206e9-c541-4573-9808-e797e531f9dc · outbound

This paper cites Diffusion probabilistic models for 3D point cloud generation.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Diffusion probabilistic models for 3D point cloud generation

Reference 34

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Observation 45ec4db2-4e09-4354-9913-ae343f0d2ee1 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 35

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Observation 9f108b34-3684-43b0-9e5b-1acf437d6dd6 · outbound

This paper cites On distillation of guided diffusion models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity On distillation of guided diffusion models

Reference 36

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Observation 3271f270-fff0-492f-893e-ee838cc80e68 · outbound

This paper cites Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation

Reference 37

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This paper cites Transframer: Arbitrary Frame Prediction with Generative Models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Transframer: Arbitrary Frame Prediction with Generative Models

Reference 38

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This paper cites Scalable diffusion models with transformers.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Scalable diffusion models with transformers

Reference 39

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 40

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Movie Gen: A Cast of Media Foundation Models

Reference 41

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This paper cites RawFilm: 8k cinematic royalty-free stock footage.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity RawFilm: 8k cinematic royalty-free stock footage

Reference 42

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Observation 394572c4-2cf3-4c0e-b9c2-57989059a4f5 · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 43

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This paper cites MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs

Reference 44

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity High-resolution image synthesis with latent diffusion models

Reference 45

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This paper cites Introducing Gen-3 alpha.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Introducing Gen-3 alpha

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.713492Z

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Observation 79c12c70-83fa-4901-885e-a794f0a3b58a · outbound

This paper cites Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al

Reference 47

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Observation 3a31a639-25df-401b-bf69-137bad6fdfad · outbound

This paper cites GLU Variants Improve Transformer.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity GLU Variants Improve Transformer

Reference 48

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This paper cites Emu Edit: Precise image editing via recognition and gen- eration tasks.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Emu Edit: Precise image editing via recognition and gen- eration tasks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.680306Z

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Observation ce1f816d-4e84-412c-ba00-2b1ab475e770 · outbound

This paper cites NormFormer: Improved Transformer Pretraining with Extra Normalization.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity NormFormer: Improved Transformer Pretraining with Extra Normalization

Reference 50

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Observation 64de6b84-dbc5-4660-b28d-ec1d84c83d1e · outbound

This paper cites Shutterstock: Stock photos, royalty-free images, graphics, vectors, videos, and music.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Shutterstock: Stock photos, royalty-free images, graphics, vectors, videos, and music

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.664288Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cfdc7c31-2fd1-45d8-9e8f-c630d5920afc · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.450278Z

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Observation 5b0c444a-68c3-4be6-b776-e0ef90e36fed · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Deep unsupervised learning using nonequilibrium thermodynamics

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.647984Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 66110414-57a4-40c8-851e-b00797916aa4 · outbound

This paper cites Consistency Models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Consistency Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.461195Z

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Observation 9b74f8bf-1982-4a81-ab30-b09496863bc0 · outbound

This paper cites UL2: Unifying Language Learning Paradigms.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity UL2: Unifying Language Learning Paradigms

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.467829Z

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Unavailable: canonical work link unavailable.

Observation 4ccbca24-6cc3-449e-9468-ba4b5f26a920 · outbound

This paper cites an unresolved cited work.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:43:09.630832Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6edfc395-e805-48a7-9f56-300d4160948b · outbound

This paper cites DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.478362Z

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Observation 93cf7088-e7da-40bf-9ff8-692f012afd68 · outbound

This paper cites LION: Latent point dif- fusion models for 3D shape generation.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity LION: Latent point dif- fusion models for 3D shape generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.613422Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff7a6544-0c04-43ad-a68e-435c6c98d6f4 · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Phenaki: Variable length video generation from open domain textual descriptions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.489615Z

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Observation 5e2ed4d1-b2d8-4131-ad92-1a0a21c701cc · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity An Empirical Study of Mamba-based Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.494872Z

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Observation 50e6d2a5-ff15-4a22-9ce9-9b479f9317e5 · outbound

This paper cites Jha, and Yuchen Liu.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Jha, and Yuchen Liu

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.587749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f44977b-4c10-4806-8cf6-d2f2b9a797bd · outbound

This paper cites ModelScope Text-to-Video Technical Report.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity ModelScope Text-to-Video Technical Report

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.504673Z

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Unavailable: canonical work link unavailable.

Observation b87730bf-0482-421d-9086-c9aec0aed188 · outbound

This paper cites VideoLCM: Video Latent Consistency Model.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity VideoLCM: Video Latent Consistency Model

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.509845Z

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Observation fc670c36-7bbe-4b30-b704-235d62799298 · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.514912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f00a1f-ca3e-4c96-9bb6-99320135d3d4 · outbound

This paper cites Loong: Generating Minute-level Long Videos with Autoregressive Language Models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.519752Z

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Observation 986da5f9-b3bf-4441-a306-b32c54140b37 · outbound

This paper cites Progressive Autoregressive Video Diffusion Models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Progressive Autoregressive Video Diffusion Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.525261Z

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Observation 30536006-04cb-4964-9e3c-614def0e3e23 · outbound

This paper cites Demystifying CLIP Data.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Demystifying CLIP Data

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.531267Z

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Observation c4ec7859-8615-4d98-a3d8-131b31574633 · outbound

This paper cites ByT5: Towards a token-free future with pre-trained byte- to-byte models.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity ByT5: Towards a token-free future with pre-trained byte- to-byte models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.573235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b5b75df8-c35b-4007-8684-bcf332f3247a · outbound

This paper cites Dif- fusion models without attention.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Dif- fusion models without attention

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.558055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a3c68c58-0f51-48e8-9131-ed880c767a6d · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.545220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa55274-aaff-4222-8c16-acdcc4db6dd9 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion mod- els.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Paint by example: Exemplar-based image editing with diffusion mod- els

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.550153Z

Source-reported events for the cited work

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Observation f16bd07c-6c7e-4ddc-89cb-47d5a430be8b · outbound

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

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:08.554893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbb8c895-b74a-43b8-a0dd-8d11a7d08921 · outbound

This paper cites Hauptmann, Ming- Hsuan Yang, Yuan Hao, Irfan Essa, et al.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Hauptmann, Ming- Hsuan Yang, Yuan Hao, Irfan Essa, et al

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.531284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e90ea079-7759-4fd6-9fc4-a3250ced6a98 · outbound

This paper cites Root mean square layer nor- malization.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Root mean square layer nor- malization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.515407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4003444-edac-41d9-9900-71d939834724 · outbound

This paper cites Show-1: Marrying pixel and latent diffusion models for text-to-video generation.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Show-1: Marrying pixel and latent diffusion models for text-to-video generation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.499522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5bb90295-a349-43af-bedc-e0295fb25444 · outbound

This paper cites Open-Sora: Democratizing efficient video production for all.

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Open-Sora: Democratizing efficient video production for all

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:43:09.483317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 0b237622-2fa2-45f5-8386-99bd91f8cf11 · inbound

Long-Context State-Space Video World Models cites this paper.

Long-Context State-Space Video World Models LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:20.460990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c076b86-9971-4220-859b-86de36be2480 · inbound

Video World Models with Long-term Spatial Memory cites this paper.

Video World Models with Long-term Spatial Memory LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:41.279115Z

Source-reported events for the cited work

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Observation de71e09f-eb27-4bd3-bf72-0227ef3f457e · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:04.156409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8fe1376-17c3-4580-a606-0c671997fc7a · inbound

M4V: Multimodal Mamba for Efficient Text-to-Video Generation cites this paper.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.044277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d1e529-6b84-4fb0-92c2-28dede2602f8 · inbound

GenHSI: Controllable Generation of Human-Scene Interaction Videos cites this paper.

GenHSI: Controllable Generation of Human-Scene Interaction Videos LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:27:08.877210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17f7f2af-7ba3-415a-84f0-f6c164e11758 · inbound

VMoBA: Mixture-of-Block Attention for Video Diffusion Models cites this paper.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:04.914075Z

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Unavailable: canonical work link unavailable.