Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:38.092653Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 23 inbound Pith citation observations for arXiv:2506.14603.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:38.092653Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:43:35.972155Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:50:11.438511Z
98 of 98 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3256542d-0dda-4812-8733-e33e19bd2313 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Reference 1
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Observation b35a247f-4e6f-4a7a-8ea5-75776f4cb28f · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Building normalizing flows with stochastic interpolants
Reference 2
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Observation 67c3eceb-dc93-452c-8209-8406f1d4796e · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation All are worth words: A vit backbone for diffusion models
Reference 3
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Observation 67ce0ac1-e952-40b7-b7e1-92d3788d98a8 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Reference 4
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Observation 5331e8cb-b927-4b64-b9e4-0d154952439f · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Flow map matching with stochastic interpolants: A mathematical framework for consistency models
Reference 5
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Observation 33f63edc-4fc1-4f7b-8af0-6de0de94159e · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation How to build a consistency model: Learning flow maps via self-distillation.arXiv preprint arXiv:2505.18825, 2025
Reference 6
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Observation 26075108-59e4-48bf-9e2e-11576a7ac63c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Large scale gan training for high fidelity natural image synthesis, 2019
Reference 7
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Observation e8b1b448-afab-48e2-bf3e-c88b93add7c9 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Video generation models as world simulators
Reference 8
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Observation 2048eb78-db02-4e22-95aa-9fdf86a330ec · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Maskgit: Masked generative image transformer
Reference 9
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Observation def13aa8-b058-405b-a466-159358d9d3a3 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Imagenet: A large- scale hierarchical image database
Reference 10
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Observation 3b3a7315-c635-44fa-bbfe-c11eeea1d0e8 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion Models Beat GANs on Image Synthesis
Reference 11
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Observation a6b60f17-ec4d-4bd2-947e-4eb9fcc662e8 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation GENIE: Higher-Order Denoising Diffusion Solvers
Reference 12
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Observation 962782d0-d531-4e1a-8a8f-cf6ee76a5096 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Taming transformers for high-resolution image synthesis
Reference 13
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Observation 4ece857d-cac7-4d69-900d-e36c9224a3d2 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Scaling rectified flow transformers for high-resolution image synthesis
Reference 14
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Observation 1cd81f6b-4203-4f73-84e0-b765937bce44 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Scalable Diffusion Models with State Space Backbone
Reference 15
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Observation e54b78ce-4104-4110-afcc-44e012ce4aff · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Reference 16
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Unavailable: canonical work link unavailable.
Observation 31ac0ef1-7d0a-4306-a770-7ed57e732217 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation One Step Diffusion via Shortcut Models
Reference 17
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Observation e3851112-0a78-4dad-bd92-e3773e1cc12c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Consistency Models Made Easy
Reference 18
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Observation a72773d6-946a-4a40-9b85-93c68e538299 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Mean Flows for One-step Generative Modeling
Reference 19
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Observation 2eebe717-b159-4392-8cc0-77c86fd881f4 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Boot: Data-free distillation of denoising diffusion models with bootstrapping
Reference 20
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Observation 80f99031-e437-46a9-9fe9-44701d0b19df · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffit: Diffusion vision transformers for image generation
Reference 21
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Observation 13650236-765c-48f2-8c06-a301b00e180c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Multistep Consistency Models
Reference 22
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Observation 95c7c170-072a-46f2-ba2f-24a6904c80c1 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 23
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Unavailable: canonical work link unavailable.
Observation 09d4e3f3-5cbe-4d8b-98e9-a3b98264b5d4 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Classifier-Free Diffusion Guidance
Reference 24
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Observation 404c4d1d-30f3-4ede-8647-a45d18dbf6ea · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Denoising diffusion probabilistic models
Reference 25
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Observation 15cf977e-41da-48a6-a961-b64818735e8a · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation simple diffusion: End-to-end diffusion for high resolution images
Reference 26
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Observation 6fab96b1-a130-40ba-a4b1-bb72f37d11b7 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Edward Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen
Reference 27
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Observation ebaf697f-98c6-4c84-97e6-2659ea367a57 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation The gan is dead; long live the gan! a modern gan baseline.Advances in Neural Information Processing Systems, 37:44177–44215, 2024
Reference 28
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Observation ef2c29d7-29b6-4a7e-8fcc-39387807331c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Jabri, David J
Reference 29
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Observation 5cc70218-b29c-4692-ba07-2ac68cf97388 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Text-to-image-2m, 2025
Reference 30
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Observation 28586b75-353c-411c-b84b-8ec0fba87544 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation The relativistic discriminator: a key element missing from standard GAN
Reference 31
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Observation fe27f9d1-9a75-4416-98b0-02b0fd62a850 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Gotta Go Fast When Generating Data with Score-Based Models
Reference 32
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Observation ddac50c0-d069-486a-ba41-55dca2691011 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Analyzing and improving the image quality of stylegan
Reference 33
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Observation 39090596-f9b2-44d4-9f6a-83d69b6fddfc · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35: 26565–26577, 2022
Reference 34
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 404ee170-c228-4148-9ae3-119329fef135 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Guiding a Diffusion Model with a Bad Version of Itself
Reference 35
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Observation de9148ec-b767-4020-a4c5-184eeb158fee · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Analyzing and improving the training dynamics of diffusion models
Reference 36
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Observation 02efa243-8e50-498d-ace9-a4b3d1252507 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Generalized Consistency Trajectory Models for Image Manipulation
Reference 37
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Observation 682f7b80-fd9b-417e-83aa-b1d334fc5083 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Reference 38
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Observation cfefe375-5763-4cd1-81a9-977cd4b76237 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Understanding diffusion objectives as the ELBO with simple data augmentation
Reference 39
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2058cacf-da0a-4a70-afa3-db16da6a2027 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Reference 40
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Observation e8926227-19ed-479d-a9e1-ac73f29aa74d · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Flux.https://github.com/black-forest-labs/flux, 2023
Reference 41
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Observation b3d87f10-6970-46e9-a59e-c7e1b94cb1bd · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Truncated Consistency Models
Reference 42
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Observation e880a981-1b46-49eb-9c8d-7577660251fb · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Bidirectional Consistency Models
Reference 43
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Observation fc6ec3c6-8ec5-446d-8970-227718bd4ea4 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Autoregressive Image Generation without Vector Quantization
Reference 44
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Observation d5b32733-db9f-4fb1-9c57-d7f86e9ad9f0 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Flow Matching for Generative Modeling
Reference 45
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Observation 8b08c313-c5b9-4c74-97f0-3ef830bc6ae2 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Reference 46
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Observation 88091afb-8e1c-49c2-b645-618b7fe6f99e · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization
Reference 47
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Observation 2bcc32c4-f232-4cf6-a43a-70aecfbcc664 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 48
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 245dc62c-a20b-44be-8288-a36178cab02e · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
Reference 49
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Observation 1adfd757-640d-4cf7-a260-d754ad88e40d · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022
Reference 50
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Observation 826d2d15-d4bd-4a70-9f85-4469668c420c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Reference 51
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Observation 9cd88b3e-9c6d-4870-b90f-aac4c12a18d6 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Reference 52
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Observation 45186a5e-e909-4201-ab0e-5ece1c078909 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reference 53
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Observation 754e5fc3-ccbb-4bbf-899f-a34ae773213d · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Reference 54
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Observation 1748e9e1-9489-4581-8d0c-550ab91ee434 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diff- instruct: A universal approach for transferring knowledge from pre-trained diffusion models
Reference 55
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a64868c2-9ce2-4e5e-9851-218fe0a0ce33 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Reference 56
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Observation bf71b5bb-d08b-4dcf-84be-d99c25536ca7 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation On distillation of guided diffusion models
Reference 57
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Observation 2f254e17-c568-456a-96e3-b78d9a67c138 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Scalable diffusion models with transformers
Reference 58
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Observation f4d88b6f-1c6e-43b5-a45c-8037f4e27433 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 59
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Observation 702110a8-f290-4055-9983-720866494849 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation High- Resolution Image Synthesis with Latent Diffusion Models
Reference 60
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 57a99c57-91e8-4028-b30a-2e69f25d5908 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Reference 61
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Observation 85b758a9-63ab-4f6f-b6a6-47b0d60a4a52 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Reference 62
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Observation 68e839ba-e947-4efd-a866-f25d5640fc71 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Progressive Distillation for Fast Sampling of Diffusion Models
Reference 63
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Observation 127ca2ba-f294-477d-8b83-0eafef746595 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Multistep distillation of diffusion models via moment matching
Reference 64
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Observation efeb13cd-7928-444d-8d7d-1c9e4e1acbbd · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Stylegan-xl: Scaling stylegan to large diverse datasets
Reference 65
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Observation 591ade46-837d-461b-a02f-e3b03f327d47 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Fast high-resolution image synthesis with latent adversarial diffusion distillation
Reference 66
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Observation 6f067b03-4156-42a8-8341-392ded24d326 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Adversarial diffusion distillation
Reference 67
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 01a8e39a-e000-4998-99f4-e8040f9695de · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Denoising Diffusion Implicit Models
Reference 68
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Observation 077678bf-2241-4d60-8d7c-13aea180e038 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Improved Techniques for Training Consistency Models
Reference 69
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Observation 9e8d6ff7-25b0-45f2-8f3e-b460c7d59ff8 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Score-Based Generative Modeling through Stochastic Differential Equations
Reference 70
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Observation ddf598e0-c2ad-4bb9-8ed5-093205f67620 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Consistency Models
Reference 71
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Observation 384fc5f9-8d6c-4ff6-ac3e-c54339eaefbf · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Multi-student Diffusion Distillation for Better One-step Generators
Reference 72
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Observation 01bf3c8c-b665-498b-a831-64f81af864fb · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Fourier features let networks learn high frequency functions in low dimensional domains.Advances in neural information processing systems, 33:7537–7547, 2020
Reference 73
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Observation bfb74742-75dc-4c36-ab5e-d9932c7d3d13 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Physics Informed Distillation for Diffusion Models
Reference 74
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4ba97e5b-4b4c-4d5b-b21e-df06df1595dd · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
Reference 75
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Observation e3d9f7ae-4feb-441a-b90a-4c7a82bc952a · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Reference 76
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Observation b151d511-708a-4da7-992a-52e3d68b5b0c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
Reference 77
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Observation fda3d942-dfff-43fd-8004-3daf4244bd96 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Attention is all you need.Advances in Neural Information Processing Systems, 2017
Reference 78
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Observation b172fed1-b207-4543-bc9d-a3610945b212 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Stable Consistency Tuning: Understanding and Improving Consistency Models
Reference 79
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Observation d0fe48d6-fa8a-4424-988b-4d4a7a4f2966 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Phased Consistency Models
Reference 80
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Observation 2214babb-5935-4813-a3e9-d350d60df3bd · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Reference 81
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Observation 52a942a7-9166-4dcd-9a23-6f427c62a53c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Em distillation for one-step diffusion models.Advances in Neural Information Processing Systems, 37:45073–45104, 2024
Reference 82
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7fb05b08-bb7b-4a18-b953-fcfac0edcf63 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Disco-diff: Enhancing continuous diffusion models with discrete latents
Reference 83
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 39920aae-7854-48d5-8c6e-40199dfda62c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion models without attention
Reference 84
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Observation 84d8ee32-b45b-4c53-9f0f-d1b726a6e53c · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
Reference 85
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Observation 0c5ae03f-65e6-46ee-acb1-294d69038446 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Improved Distribution Matching Distillation for Fast Image Synthesis
Reference 86
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Observation f7af76ee-ae45-4493-8c62-21532239a46d · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation One-step diffusion with distribution matching distillation
Reference 87
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Observation a5ba6aec-ac0c-4888-bceb-bec77acbdefd · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Reference 88
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Observation be158ca6-766e-4857-a1b5-e40d6029842b · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Fast Sampling of Diffusion Models with Exponential Integrator
Reference 89
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Observation dc7a3d07-5cb8-42f9-887e-62d005608db0 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation The unrea- sonable effectiveness of deep features as a perceptual metric
Reference 90
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Unavailable: canonical work link unavailable.
Observation a6104f73-2331-4a95-bc2d-63ad8180e998 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion Models Are Innate One-Step Generators
Reference 91
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Observation 20475ce5-19f7-4766-b25b-2d0b68ea3634 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Fast sampling of diffusion models via operator learning
Reference 92
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Observation e33963dd-3f1f-46f1-b425-26ac9e50a3db · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Trajectory consistency distillation, 2024
Reference 93
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 124769b8-f6bd-4f9a-97ba-65c6b50160db · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Inductive Moment Matching
Reference 94
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Observation a033e837-bb0c-44c5-87d1-7dd92618ce90 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
Reference 95
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Observation 77deda12-e127-4606-a913-874c6d6833c8 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
Reference 96
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Observation d2f4f5e5-c009-4a82-9bc0-7bea196b1df0 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation w(t,s) ∂tfθ(xt,t,s) +∇ xfθ(xt,t,s)· dxt dt 2 2 # =∇ θExt,t,s
Reference 97
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eb03b2c9-afc4-4556-b892-00b45cf91466 · outbound
Align Your Flow: Scaling Continuous-Time Flow Map Distillation Fθ(xt,t,s)− dxt dt −(t−s) dFθ−(xt,t,s) dt 2 2 # .(34) Taking the gradient with respect toθ: ∇θLMeanFlow(θ) =∇ θExt,t,s
Reference 98
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 95c2a88e-b316-4128-8ee4-a1aced0bb1ee · inbound
A Continuous-Time Consistency Model for 3D Point Cloud Generation Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 41
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Observation 3aa07e3f-275e-4c03-a65f-b9a2ce429c51 · inbound
Transition Models: Rethinking the Generative Learning Objective Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 57
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Observation 2570af8f-8360-4a75-8e79-0743adbf9ada · inbound
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 21
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8edf59c1-4869-4a47-8e58-2165d8a094c8 · inbound
Adversarial Concept Distillation for One-Step Diffusion Personalization Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 70
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bdb9e91c-e6d5-486f-8cdf-261f90a5daa8 · inbound
Transition Matching Distillation for Fast Video Generation Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 39
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Unavailable: canonical work link unavailable.
Observation 2702ebb6-ddec-4633-8bf9-faf97b78db7c · inbound
Dual-End Consistency Model Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 39
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 97fac284-0e76-4ec9-9076-b18099afd7fa · inbound
Dual-End Consistency Model Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 39
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Unavailable: canonical work link unavailable.
Observation a92581c8-2218-4bd2-a917-fefabc5e8bce · inbound
Flow Map Language Models: One-step Language Modeling via Continuous Denoising Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5b4daffd-902a-4b12-979e-11914baa9785 · inbound
Flow Map Language Models: One-step Language Modeling via Continuous Denoising Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9f57c5a8-4651-4b9d-951c-ce1580a72fed · inbound
Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 7
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 45c4bfc4-eee8-4e12-be01-2c1999dc5c51 · inbound
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4baad3db-3e80-4b2f-9a7b-0cd915eb3ae5 · inbound
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9ff729f8-ab14-49b1-b6e5-40c3ad56202c · inbound
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2a8acb91-85e4-4a75-8e18-b139c33bc5ae · inbound
AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 11
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d41b7659-2cbb-453b-a756-2c435ad5b8eb · inbound
Drift Flow Matching Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 98d4b329-a96b-479c-9840-612622dd864b · inbound
Variance Reduction for Expectations with Diffusion Teachers Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8ede8f86-cd89-4264-8618-ff2e17a129bb · inbound
Variance Reduction for Expectations with Diffusion Teachers Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9133830c-3e29-45be-9afa-2d49cb988342 · inbound
Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 34
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8224382c-90bb-4aa4-8445-4b973bb16686 · inbound
Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 15
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e06b024c-956f-465b-a979-ab8fdcc22501 · inbound
Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 58db98d1-06a6-4348-9721-010e10052f0c · inbound
Perceptual Flow Matching for Few-Step Generative Modeling Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 9
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Observation 30ecfd31-03c2-49b8-8d93-fb9c68b996bd · inbound
Parallel Decoding Distillation for Fast Image and Video Generation Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 44
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Observation 652f0a0d-d804-417a-9dd8-663e8b916232 · inbound
Flow Map Learning via Nongradient Vector Flow Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Reference 37
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