Paper Citation Record · LEDGER

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 3 inbound Pith citation observations for arXiv:2508.17426.

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

pith.paper-citation-record.v1
2508.17426 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:09:22.053960Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:30:43.843880Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy16
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 0e263cdf-e198-4251-b2f6-a4210839a488 · outbound

This paper cites Neural Diffusion Models.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Neural Diffusion Models

Reference 1

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Source-reported events for the cited work

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Observation d7ef2893-85bc-412f-a80b-8dc3f413a4ad · outbound

This paper cites National Science Review11(12), nwae348 (2024).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling National Science Review11(12), nwae348 (2024)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:23.713916Z

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Observation defbaa62-7245-41a5-a8c8-a01ca32c11a5 · outbound

This paper cites Advances in Neural Information Processing Systems36, 68552– 68575 (2023).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in Neural Information Processing Systems36, 68552– 68575 (2023)

Reference 3

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Observation ae6d7fee-a85e-406d-a0e1-ac99ba7f7586 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling In: The Thirteenth International Conference on Learning Representations (2025)

Reference 4

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Observation e9f9351e-d95a-4be7-aa1f-c400e5df48cb · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling NICE: Non-linear Independent Components Estimation

Reference 5

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Observation 77bde6e8-34fd-4ac9-882c-a7eec97623d4 · outbound

This paper cites Density estimation using Real NVP.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Density estimation using Real NVP

Reference 6

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Observation f70fbbe5-0ff7-4ff4-8447-ff3ab5a1c301 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Con- ference.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling In: Proceedings of the Computer Vision and Pattern Recognition Con- ference

Reference 7

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Observation 70fc040e-e71a-4610-83f3-dde3505c1d6c · outbound

This paper cites In: Forty-first international conference on machine learning (2024).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling In: Forty-first international conference on machine learning (2024)

Reference 8

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Observation b4d06f4a-9684-416f-b409-e9c63870c3fd · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Mean Flows for One-step Generative Modeling

Reference 9

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Observation feb19eca-56b4-4632-817d-77d4a2399e8c · outbound

This paper cites Advances in Neural Information Processing Systems36, 41914–41931 (2023).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in Neural Information Processing Systems36, 41914–41931 (2023)

Reference 10

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Observation e8609e9a-36bc-4e34-a2ba-36b2bf34ae45 · outbound

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Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Unresolved cited work

Reference 11

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Observation cdf98ccf-64ee-4716-bf90-9e28593b84b8 · outbound

This paper cites an unresolved cited work.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Unresolved cited work

Reference 12

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Observation cf8c1298-19f9-48a0-8f8f-64d2272247a3 · outbound

This paper cites Advances in neural information processing systems30 (2017).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in neural information processing systems30 (2017)

Reference 13

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Observation a8b78eb0-4e8b-4b77-ae23-dc178962df54 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in neural information processing systems33, 6840–6851 (2020)

Reference 14

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Observation 5ae6ce3b-13bb-4842-b0e1-aea022488bf5 · outbound

This paper cites Advances in Neural Information Processing Systems37, 110464–110493 (2024).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in Neural Information Processing Systems37, 110464–110493 (2024)

Reference 15

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Observation 53ed4b4a-cfbc-4cc0-9877-ae959d51fa5b · outbound

This paper cites Variance reduction of diffusion model's gradients with Taylor approximation-based control variate.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Variance reduction of diffusion model's gradients with Taylor approximation-based control variate

Reference 16

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Observation 0e0f41c4-5cdb-44d1-9b95-906a1ab5521c · outbound

This paper cites Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 17

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Observation 3d78db29-32d2-45ba-9909-93ab73e76f40 · outbound

This paper cites PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher

Reference 18

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Observation 17b79fe4-6a4c-4d6a-8150-b8409631b3ee · outbound

This paper cites Advances in neural information processing systems31 (2018).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in neural information processing systems31 (2018)

Reference 19

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Observation 33f4c107-d67b-48b5-b519-ad310f16851b · outbound

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Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Unresolved cited work

Reference 20

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Observation 4f52a8d9-88bb-4608-9623-6aa9213f00d1 · outbound

This paper cites Advances in neural information processing systems37, 63082–63109 (2024).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in neural information processing systems37, 63082–63109 (2024)

Reference 21

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Observation 8d11803f-9317-4130-acde-08a6888a374c · outbound

This paper cites SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation

Reference 22

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Observation 1004845b-7c3e-432e-9344-c944c2896e8b · outbound

This paper cites SepPrune: Structured Pruning for Efficient Deep Speech Separation.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling SepPrune: Structured Pruning for Efficient Deep Speech Separation

Reference 23

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Observation fbc3e97c-b738-43f2-8cf7-796cd336c04f · outbound

This paper cites ICMR (2025).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling ICMR (2025)

Reference 24

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Observation 6d30fbec-3235-47b4-840f-5f560f3c349b · outbound

This paper cites arXiv preprint arXiv:2410.14720 (2024).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling arXiv preprint arXiv:2410.14720 (2024)

Reference 25

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Observation adb00ea7-efe9-4559-ae39-10335f16d867 · outbound

This paper cites Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

Reference 26

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Observation 44a7c732-79c0-4223-b3e0-9acc85254663 · outbound

This paper cites Flow Matching for Generative Modeling.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Flow Matching for Generative Modeling

Reference 27

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Observation 33484c56-3561-4a0d-88cb-9c91b44f9496 · outbound

This paper cites Advances in Neural Information Processing Systems35, 5775–5787 (2022).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in Neural Information Processing Systems35, 5775–5787 (2022)

Reference 28

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Observation d6c570cd-c95c-47d9-8757-ab45383471c5 · outbound

This paper cites Advances in Neural Information Processing Systems 37, 115377–115408 (2024).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in Neural Information Processing Systems 37, 115377–115408 (2024)

Reference 29

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Observation 503ba636-de5b-440b-9481-f71d29caca9b · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2025) Modular MeanFlow 15.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling IEEE Transactions on Pattern Analysis and Machine Intelligence (2025) Modular MeanFlow 15

Reference 30

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Observation 90065713-cf03-4b91-ae53-ef72648253f5 · outbound

This paper cites In: International conference on machine learning.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling In: International conference on machine learning

Reference 31

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This paper cites Applied Vegetation Science28(2), e70022 (2025).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Applied Vegetation Science28(2), e70022 (2025)

Reference 32

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Observation 91d64463-e5a1-4187-a552-f4bdda6a0cf6 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Progressive Distillation for Fast Sampling of Diffusion Models

Reference 33

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Observation f364ce5d-daf3-469b-897d-dffaa3886067 · outbound

This paper cites Improved Techniques for Training Consistency Models.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Improved Techniques for Training Consistency Models

Reference 34

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Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Unresolved cited work

Reference 35

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Observation 3aa1820b-ba96-49df-9448-58b7a10c8b6d · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Score-Based Generative Modeling through Stochastic Differential Equations

Reference 36

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Observation 7f5b486d-9563-4f61-9c98-2bcc0576e73a · outbound

This paper cites Stable Consistency Tuning: Understanding and Improving Consistency Models.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Stable Consistency Tuning: Understanding and Improving Consistency Models

Reference 37

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Observation d3a77e1f-9b7a-4eb8-96ef-18ac6392ddb3 · outbound

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Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Integration Flow Models

Reference 38

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Observation 39ab90d9-b622-4094-9aa3-a9b1bf516917 · outbound

This paper cites arXiv preprint arXiv:2505.20755 (2025).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling arXiv preprint arXiv:2505.20755 (2025)

Reference 39

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Observation 9121d831-8564-4620-a34d-749b636a0647 · outbound

This paper cites Advances in Neural Information Processing Systems37, 45073–45104 (2024).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in Neural Information Processing Systems37, 45073–45104 (2024)

Reference 40

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Observation f86ad40c-d662-46c8-8e58-10d6e9b36569 · outbound

This paper cites Flow-based generative models as iterative algorithms in probability space.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Flow-based generative models as iterative algorithms in probability space

Reference 41

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Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Unresolved cited work

Reference 42

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Observation ddd0ba3a-b8b6-4a1b-aabe-7da377e5a664 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 43

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Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling In: International Con- ference on Neural Information Processing

Reference 44

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Observation 76589b3b-cbc5-44bf-a39a-e18d9960ff00 · outbound

This paper cites MOVER: Multimodal Optimal Transport with Volume-based Embedding Regularization.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling MOVER: Multimodal Optimal Transport with Volume-based Embedding Regularization

Reference 45

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Observation 0e895c26-7aa2-4b0d-850d-ce74efa7e743 · outbound

This paper cites Knowledge-Based Systems (2025).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Knowledge-Based Systems (2025)

Reference 46

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Observation ebf8b867-9473-4ba4-a67a-a0b347f5ddff · outbound

This paper cites Advances in Neural Information Processing Systems 33, 15511–15521 (2020).

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling Advances in Neural Information Processing Systems 33, 15511–15521 (2020)

Reference 47

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Observation 41d860b5-f359-40b0-b6d6-f2df4384d5db · outbound

This paper cites In: International conference on machine learning.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling In: International conference on machine learning

Reference 48

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Observation a98d8aa8-35b8-4f28-917a-d2bc08f4b9c3 · outbound

This paper cites arXiv e-prints pp.

Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling arXiv e-prints pp

Reference 49

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Pith citing papers

Observation ed1cdb7a-1d12-420c-be24-5d31c9daaa18 · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling

Reference 81

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Observation f3485273-ebcd-4929-80e0-b62e3d6d937c · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling

Reference 81

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Observation d6f22ccc-a2e4-4cff-9c18-0b90cca87039 · inbound

MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction cites this paper.

MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling

Reference 30

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