Paper Citation Record · LEDGER

M4V: Multimodal Mamba for Efficient Text-to-Video Generation

As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 6 inbound Pith citation observations for arXiv:2506.10915.

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

pith.paper-citation-record.v1
2506.10915 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:21:19.076614Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:21:47.529772Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T14:44:59.794530Z

Reference resolution

55 of 55 outbound references displayed

verified exact1
verified fuzzy12
unresolved41
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7e0ff73-8461-4a52-aea9-cda721dab9a0 · outbound

This paper cites Pika art.https://pika.art, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Pika art.https://pika.art, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.782774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 02eda61e-eb01-498f-8d63-e897e9cd6f46 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.818385Z

Source-reported events for the cited work

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Observation 99b9b93a-2590-49e7-8816-6e57030e277d · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2023.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Flux.https://github.com/black-forest-labs/flux, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.769840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 60d7f820-24d1-4853-af12-8bb281537e84 · outbound

This paper cites Video generation models as world simulators.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Video generation models as world simulators

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.923561Z

Source-reported events for the cited work

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Observation be5e0b4a-7155-47a8-a2dc-e306aed9dd50 · outbound

This paper cites Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.927125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca55e251-000c-4ef7-aa51-3fa580c03782 · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.934563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2836212-e280-4e41-aa74-47852d59b0ec · outbound

This paper cites Goku: Flow Based Video Generative Foundation Models.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Goku: Flow Based Video Generative Foundation Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.937837Z

Source-reported events for the cited work

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Observation d86eef98-54df-4310-9284-7862710e3e4c · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.940770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2dbefb8-b6ce-4d60-add6-3c613861d226 · outbound

This paper cites Scaling rectified flow transform- ers for high-resolution image synthesis.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Scaling rectified flow transform- ers for high-resolution image synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.943726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f37071-c193-4085-8050-6f41ff3fbf83 · outbound

This paper cites Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.946935Z

Source-reported events for the cited work

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Observation e913141b-a757-4a09-a3fb-9a00293ffc7d · outbound

This paper cites Dimba: Transformer-Mamba Diffusion Models.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Dimba: Transformer-Mamba Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.950027Z

Source-reported events for the cited work

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Observation 47d6df64-ca99-4439-8328-8a0ffc12025e · outbound

This paper cites LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.953995Z

Source-reported events for the cited work

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Observation ab791d2d-c81f-4b35-962c-1a12e938b4fa · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Matten: Video Generation with Mamba-Attention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.957450Z

Source-reported events for the cited work

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Observation d0462d30-c1b8-459d-be5f-85656edbcbc0 · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.960505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27f80f9b-8858-4905-8597-1a94c3ee5496 · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.963248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e58600-93a5-434e-b8c8-c10c9be8c886 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.965955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ac86b8-ebd5-4013-ba11-9b4cc914480f · outbound

This paper cites Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.968467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1989c988-afa6-4980-a0f8-6a9d576cd81c · outbound

This paper cites Zigma: A dit-style zigzag mamba diffusion model.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Zigma: A dit-style zigzag mamba diffusion model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.735860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 541e0b5e-e90a-4676-a5c8-0afa488daf1a · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Vbench: Comprehensive benchmark suite for video generative models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.973955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c43e290-8866-4bb6-b6bd-71e1d82d8cd9 · outbound

This paper cites Flexvar: Flexible visual autoregressive modeling without residual prediction.arXiv preprint arXiv:2502.20313, 2025.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Flexvar: Flexible visual autoregressive modeling without residual prediction.arXiv preprint arXiv:2502.20313, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.976415Z

Source-reported events for the cited work

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Observation c405f2ed-2f25-4181-8781-d7e6a222490c · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.979380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbb2112-205c-421a-a78b-d233b25cadff · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.981813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 422361a2-1844-4d90-9333-4de7887b0b8f · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Kling ai: Next-generation ai creative studio

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.722661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94e46e44-a5ea-40bb-99f5-4746d64d10ce · outbound

This paper cites T2v-turbo: Breaking the quality bottleneck of video consistency model with mixed reward feedback, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation T2v-turbo: Breaking the quality bottleneck of video consistency model with mixed reward feedback, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.714781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ce437a4-5be9-4f9c-b721-a44e9b081b60 · outbound

This paper cites Video- mamba: State space model for efficient video understanding.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Video- mamba: State space model for efficient video understanding

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.706303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4863e008-1a78-4d8b-bbff-98e69c3a0b9f · outbound

This paper cites Mamba-nd: Selective state space modeling for multi-dimensional data.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Mamba-nd: Selective state space modeling for multi-dimensional data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.697737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f9e4cb6-9f41-4dc8-bb34-2620f93235b6 · outbound

This paper cites an unresolved cited work.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.995265Z

Source-reported events for the cited work

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Observation 7b53594f-2165-44be-81c2-4b4087fcd7d1 · outbound

This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:18.998136Z

Source-reported events for the cited work

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Observation 023dacae-7917-461d-ae90-1b34abb3942a · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.001575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a137ec2-b2a8-4e70-8aea-eb8bbe34de27 · outbound

This paper cites Ssm meets video diffusion models: Efficient video generation with structured state spaces.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Ssm meets video diffusion models: Efficient video generation with structured state spaces

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.683804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 30ace87d-e10e-4458-8963-d32eda9a9100 · outbound

This paper cites Scalable diffusion models with transformers.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Scalable diffusion models with transformers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.007012Z

Source-reported events for the cited work

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Observation 9baddb8e-b538-4417-a982-3ed0edcb66dc · outbound

This paper cites Open-sora plan.https://github.com/PKU-YuanGroup, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Open-sora plan.https://github.com/PKU-YuanGroup, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.667407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1e3ebb6-ce29-4691-909f-4ef3eba43ed9 · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Long-Context State-Space Video World Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.012307Z

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Observation ecf29e05-1a33-40ec-9b37-7d0b6a5b09bb · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.015208Z

Source-reported events for the cited work

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Observation 39fd6d6e-3bb8-41e0-a0bd-d9233b1fe3d7 · outbound

This paper cites Learning transferable visual models from natural language supervision.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Learning transferable visual models from natural language supervision

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.018003Z

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Observation 80f53fd6-bffb-4f16-809e-235d7b0eef37 · outbound

This paper cites Runway gen-3 alpha.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Runway gen-3 alpha

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.652871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b61fb72a-947f-4612-96ff-5e04c7043793 · outbound

This paper cites Magi-1: Autoregressive video generation at scale, 2025.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Magi-1: Autoregressive video generation at scale, 2025

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.023647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1071c26-d5f1-4673-a5bb-b29185aafc57 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models.Advances in Neural Information Processing Systems, 35:25278–25294, 2022.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Laion- 5b: An open large-scale dataset for training next generation image-text models.Advances in Neural Information Processing Systems, 35:25278–25294, 2022

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.026438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88867a5f-f8c2-4761-8f0b-6ce70adbd41a · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.029286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171c0843-9364-489c-96cc-fade8b2e79fe · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Diffusion Models Are Real-Time Game Engines

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.031951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e099cc7a-9241-4a4d-aac6-f382d5ea1d68 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.035181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d15457b-54ff-4f7f-a80a-bef5564c91a2 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.037975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94382658-1a9c-421c-bc64-d13516b500fe · outbound

This paper cites Mamba-R: Vision Mamba ALSO Needs Registers.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Mamba-R: Vision Mamba ALSO Needs Registers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.040852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 3f89ebbd-a47e-45c7-bfcc-a5ded8772ed8 · outbound

This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.047077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f63a038-4859-4885-8140-f52aeea1ed68 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.050020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d4b2fe-03ae-4eda-987a-aacd6d430732 · outbound

This paper cites Easyanimate: A high-performance long video generation method based on transformer architecture.arXiv preprint arXiv:2405.18991, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Easyanimate: A high-performance long video generation method based on transformer architecture.arXiv preprint arXiv:2405.18991, 2024

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.052703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af791d3-81fe-4bb7-9d33-0780994358d9 · outbound

This paper cites PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:21:19.210398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d94db6d2-1b5f-4a17-b7fa-67133e896326 · outbound

This paper cites Perflow: Piecewise rectified flow as universal plug-and-play accelerator.Advances in Neural Information Processing Systems, 37:78630–78652, 2025.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Perflow: Piecewise rectified flow as universal plug-and-play accelerator.Advances in Neural Information Processing Systems, 37:78630–78652, 2025

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.620985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7078d3f-bea1-4375-a03e-4bb3a1a766d7 · outbound

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

M4V: Multimodal Mamba for Efficient Text-to-Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.061124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7481707c-e0bc-4de7-ba4d-7d075ff435f4 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.arXiv preprint arXiv:2412.07772, 2, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation From slow bidirectional to fast autoregressive video diffusion models.arXiv preprint arXiv:2412.07772, 2, 2024

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.063913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ce0c0a-79f7-412e-9a5d-0d6c140088e9 · outbound

This paper cites Slca: Slow learner with classifier alignment for continual learning on a pre-trained model.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Slca: Slow learner with classifier alignment for continual learning on a pre-trained model

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:21:19.611061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42402061-41fa-473c-a75e-9ddee9ec398c · outbound

This paper cites SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.069291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2619e31e-1d85-4800-a19d-cecf3ed49f9b · outbound

This paper cites Open-sora: Democratizing efficient video production for all, 2024.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation Open-sora: Democratizing efficient video production for all, 2024

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:19.072026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b5bfff9-1850-44ec-8009-ef5e87941f61 · outbound

This paper cites downward first, then rightward.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation downward first, then rightward

Reference 55

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:21:19.596314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 1ddb49fa-c4ac-44ed-ba10-04f8fbe71211 · inbound

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:19:42.932136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5ca2794-f90d-48c7-bbc9-01ec5835e62d · inbound

Setting the Stage: Text-Driven Scene-Consistent Image Generation cites this paper.

Setting the Stage: Text-Driven Scene-Consistent Image Generation M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:44:17.287078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b685d287-2d41-4a87-bf75-cbe6f457ba16 · inbound

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing cites this paper.

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-15T12:20:51.326210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8844a78-64e8-4506-aee1-dfe9f0ec77da · inbound

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation cites this paper.

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:00.767995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88582fc0-3acc-45a3-a988-110e9a377303 · inbound

MobileWan: Closing the Quality Gap for Mobile Video Diffusion cites this paper.

MobileWan: Closing the Quality Gap for Mobile Video Diffusion M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-08T14:44:59.795849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0e029a5-6f1e-44f4-881e-082c12d34802 · inbound

MobileWan: Closing the Quality Gap for Mobile Video Diffusion cites this paper.

MobileWan: Closing the Quality Gap for Mobile Video Diffusion M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T08:21:47.529772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.