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Paper Citation Record · LEDGER

Align Your Flow: Scaling Continuous-Time Flow Map Distillation

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.

pith.paper-citation-record.v1
2506.14603 v1

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:38.092653Z

measured 121 of 121 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:43:35.972155Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.438511Z

Reference resolution

98 of 98 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved85
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3256542d-0dda-4812-8733-e33e19bd2313 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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source=pdf_text observed=2026-08-15T19:57:37.734544Z digest=sha256:92bddfc4f57883c51f0746c54f18b65aef4b2e79c5817585275662f1dbe91878

Observation b35a247f-4e6f-4a7a-8ea5-75776f4cb28f · outbound

This paper cites Building normalizing flows with stochastic interpolants.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Building normalizing flows with stochastic interpolants

Reference 2

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source=pdf_text observed=2026-08-15T19:57:37.739068Z digest=sha256:544c3107931a0e8f26b65e943e3c98110edc3153583dfe144188b6135222fc2d

Observation 67c3eceb-dc93-452c-8209-8406f1d4796e · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

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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source=pdf_text observed=2026-08-15T19:57:37.742798Z digest=sha256:029af0455efdd2aff6f03da31b6cd26f0cf63d8b0a1cd922d4579fd6d0446271

Observation 67ce0ac1-e952-40b7-b7e1-92d3788d98a8 · outbound

This paper cites TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 4

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source=pdf_text observed=2026-08-15T19:57:37.746625Z digest=sha256:8b6673a2dddcee3f23e15fcf8d912f03143dbbfa27c059cc759f30c68369e20a

Observation 5331e8cb-b927-4b64-b9e4-0d154952439f · outbound

This paper cites Flow map matching with stochastic interpolants: A mathematical framework for consistency models.

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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source=pdf_text observed=2026-08-15T19:57:37.750650Z digest=sha256:417b3d444f0f9c3bde75d28fca40444b0fdab245d806909af94ff31bc8320f7a

Observation 33f63edc-4fc1-4f7b-8af0-6de0de94159e · outbound

This paper cites How to build a consistency model: Learning flow maps via self-distillation.arXiv preprint arXiv:2505.18825, 2025.

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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source=pdf_text observed=2026-08-15T19:57:37.754638Z digest=sha256:908df0b9c41d676e0bdee14c941c9c39394262bab4613d0555e69dcc0b3959dd

Observation 26075108-59e4-48bf-9e2e-11576a7ac63c · outbound

This paper cites Large scale gan training for high fidelity natural image synthesis, 2019.

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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source=pdf_text observed=2026-08-15T19:57:37.758565Z digest=sha256:28d185a011c1805126226a3e9e3e4324657be5ca50d7eb9db62a06c1789d5264

Observation e8b1b448-afab-48e2-bf3e-c88b93add7c9 · outbound

This paper cites Video generation models as world simulators.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Video generation models as world simulators

Reference 8

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source=pdf_text observed=2026-08-15T19:57:37.762143Z digest=sha256:9e382616f77b4b240b4f5da06f3db0d9184fd67eb840ba9fd0037db107d0db61

Observation 2048eb78-db02-4e22-95aa-9fdf86a330ec · outbound

This paper cites Maskgit: Masked generative image transformer.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Maskgit: Masked generative image transformer

Reference 9

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source=pdf_text observed=2026-08-15T19:57:37.766381Z digest=sha256:b5cd3b209535ea90c598fcb4f31d65728b9ecaec4f94407d6d507fa654c41d8f

Observation def13aa8-b058-405b-a466-159358d9d3a3 · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Imagenet: A large- scale hierarchical image database

Reference 10

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source=pdf_text observed=2026-08-15T19:57:37.770113Z digest=sha256:e40513f46a4ec170d504d9821d44cd7b057c7ed0a4843188c032fdfd9f178bfe

Observation 3b3a7315-c635-44fa-bbfe-c11eeea1d0e8 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion Models Beat GANs on Image Synthesis

Reference 11

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source=pdf_text observed=2026-08-15T19:57:37.774236Z digest=sha256:13865262b2608ee8eee38eda168cf3d7cba7c7b38d82d92a82a247fedfb13995

Observation a6b60f17-ec4d-4bd2-947e-4eb9fcc662e8 · outbound

This paper cites GENIE: Higher-Order Denoising Diffusion Solvers.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation GENIE: Higher-Order Denoising Diffusion Solvers

Reference 12

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source=pdf_text observed=2026-08-15T19:57:37.777792Z digest=sha256:7ed3f38cde0a475070c6c29a8cf7bc92e7c64083ee5f8154580dd3a0b6766d91

Observation 962782d0-d531-4e1a-8a8f-cf6ee76a5096 · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Taming transformers for high-resolution image synthesis

Reference 13

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source=pdf_text observed=2026-08-15T19:57:37.781148Z digest=sha256:602678c0ba09123c27b5987a3edb1d7b608f99e58700afb3bd9a66931c3ec331

Observation 4ece857d-cac7-4d69-900d-e36c9224a3d2 · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Scaling rectified flow transformers for high-resolution image synthesis

Reference 14

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source=pdf_text observed=2026-08-15T19:57:37.784436Z digest=sha256:076ae77744c0de6cb847c1118cef9921b90a39a5417ae6634aee37a48d6a8689

Observation 1cd81f6b-4203-4f73-84e0-b765937bce44 · outbound

This paper cites Scalable Diffusion Models with State Space Backbone.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Scalable Diffusion Models with State Space Backbone

Reference 15

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source=pdf_text observed=2026-08-15T19:57:37.787847Z digest=sha256:5505e91f4df447c30acfe69af904637828eeeb789d0eccd5e8ea7b4af8ca74b0

Observation e54b78ce-4104-4110-afcc-44e012ce4aff · outbound

This paper cites Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models

Reference 16

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source=pdf_text observed=2026-08-15T19:57:37.791381Z digest=sha256:f74a097d8f99cb10c9ac52145ccf2837aa89b08fedd96c2954c190e51d39b627

Observation 31ac0ef1-7d0a-4306-a770-7ed57e732217 · outbound

This paper cites One Step Diffusion via Shortcut Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation One Step Diffusion via Shortcut Models

Reference 17

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source=pdf_text observed=2026-08-15T19:57:37.795336Z digest=sha256:e3820e63ad7d526395c0f791019b7aee2c8884a1bb635e32611b9c6123da1085

Observation e3851112-0a78-4dad-bd92-e3773e1cc12c · outbound

This paper cites Consistency Models Made Easy.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Consistency Models Made Easy

Reference 18

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source=pdf_text observed=2026-08-15T19:57:37.799611Z digest=sha256:ec1556f3672df3c3b3375205d86956975d1cf5fe514a3b4b1884f8c54136d0f6

Observation a72773d6-946a-4a40-9b85-93c68e538299 · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Mean Flows for One-step Generative Modeling

Reference 19

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source=pdf_text observed=2026-08-15T19:57:37.803274Z digest=sha256:cea1738404c8ff9b72cfd48bfac1a978a52ac053ad80398a56bc57c056cb2f69

Observation 2eebe717-b159-4392-8cc0-77c86fd881f4 · outbound

This paper cites Boot: Data-free distillation of denoising diffusion models with bootstrapping.

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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source=pdf_text observed=2026-08-15T19:57:37.807416Z digest=sha256:7c198c9a71d80157c021eb78b1adfaaf9e9dfbab124fc718e04860dcd78d07dd

Observation 80f99031-e437-46a9-9fe9-44701d0b19df · outbound

This paper cites Diffit: Diffusion vision transformers for image generation.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffit: Diffusion vision transformers for image generation

Reference 21

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source=pdf_text observed=2026-08-15T19:57:37.810754Z digest=sha256:c11a66068e1a4075bda5c228d06c68ba3f39ee35a749edbe8140d9ad7ed19b67

Observation 13650236-765c-48f2-8c06-a301b00e180c · outbound

This paper cites Multistep Consistency Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Multistep Consistency Models

Reference 22

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source=pdf_text observed=2026-08-15T19:57:37.814161Z digest=sha256:e5633bda56b7ddbc9ffaa23ec3196472cf2207f3c3a6aa46c4d63baa090c6f3c

Observation 95c7c170-072a-46f2-ba2f-24a6904c80c1 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

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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Observation 09d4e3f3-5cbe-4d8b-98e9-a3b98264b5d4 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Classifier-Free Diffusion Guidance

Reference 24

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source=pdf_text observed=2026-08-15T19:57:37.820841Z digest=sha256:200366445b38517f84e591a1698243683b9dd471d6fb6f137b54e75414307e96

Observation 404c4d1d-30f3-4ede-8647-a45d18dbf6ea · outbound

This paper cites Denoising diffusion probabilistic models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Denoising diffusion probabilistic models

Reference 25

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source=pdf_text observed=2026-08-15T19:57:37.824045Z digest=sha256:bba5f382ced42b1f39b60a5d995f78f2fbdab9fc270094054a2df699e8265c24

Observation 15cf977e-41da-48a6-a961-b64818735e8a · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

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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source=pdf_text observed=2026-08-15T19:57:37.827402Z digest=sha256:e6ffc1e459cd8e3a7e65801ccb5a7a32457a777442e1946b6c8386a8455f5b09

Observation 6fab96b1-a130-40ba-a4b1-bb72f37d11b7 · outbound

This paper cites Edward Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen.

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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source=pdf_text observed=2026-08-15T19:57:37.830779Z digest=sha256:e34e074d1ca1dc63530f03a427c4dae16069515ce059b00508074a5de174aaff

Observation ebaf697f-98c6-4c84-97e6-2659ea367a57 · outbound

This paper cites The gan is dead; long live the gan! a modern gan baseline.Advances in Neural Information Processing Systems, 37:44177–44215, 2024.

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

This paper cites Jabri, David J.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Jabri, David J

Reference 29

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source=pdf_text observed=2026-08-15T19:57:37.837556Z digest=sha256:d0cf2ed3567f1bab8ecee0fc3db4d9c472c3106643f2206752f22133968afab2

Observation 5cc70218-b29c-4692-ba07-2ac68cf97388 · outbound

This paper cites Text-to-image-2m, 2025.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Text-to-image-2m, 2025

Reference 30

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source=pdf_text observed=2026-08-15T19:57:37.840877Z digest=sha256:e60bf61e988ffb90413db768582f9ff11e01ea56678e8a4f58220544bd7f470d

Observation 28586b75-353c-411c-b84b-8ec0fba87544 · outbound

This paper cites The relativistic discriminator: a key element missing from standard GAN.

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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source=pdf_text observed=2026-08-15T19:57:37.844200Z digest=sha256:c18424afbd5ee758b4818414cc03c21e9bb551959db20fe81bb63ba3297c37bf

Observation fe27f9d1-9a75-4416-98b0-02b0fd62a850 · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

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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source=pdf_text observed=2026-08-15T19:57:37.847914Z digest=sha256:9983c3c93fa729e0ce03465e80af6079907b5a847d1057756145a824b821b7b7

Observation ddac50c0-d069-486a-ba41-55dca2691011 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Analyzing and improving the image quality of stylegan

Reference 33

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source=pdf_text observed=2026-08-15T19:57:37.851892Z digest=sha256:8fda90599c1c3d9f589677076add7ee985dd429785b878b8efcd9a16c85f979e

Observation 39090596-f9b2-44d4-9f6a-83d69b6fddfc · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35: 26565–26577, 2022.

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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source=pdf_text observed=2026-08-15T19:57:37.855127Z digest=sha256:e0a38588d1b52846b27ab47cd041ae18fbf88b913fa8fb7a5447469dc028406c

Observation 404ee170-c228-4148-9ae3-119329fef135 · outbound

This paper cites Guiding a Diffusion Model with a Bad Version of Itself.

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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source=pdf_text observed=2026-08-15T19:57:37.858610Z digest=sha256:7eeb3a7cce8c8b503ab8e2bc5bd5180f149da41e24ecded6704dc0bcf657dd6b

Observation de9148ec-b767-4020-a4c5-184eeb158fee · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Analyzing and improving the training dynamics of diffusion models

Reference 36

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source=pdf_text observed=2026-08-15T19:57:37.862230Z digest=sha256:98ed46ca515f77f84e6c5103003470fba1fc3fc3f5bb5231f4679a9467907be1

Observation 02efa243-8e50-498d-ace9-a4b3d1252507 · outbound

This paper cites Generalized Consistency Trajectory Models for Image Manipulation.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Generalized Consistency Trajectory Models for Image Manipulation

Reference 37

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source=pdf_text observed=2026-08-15T19:57:37.865797Z digest=sha256:8ee391e8d085eec58633b92161e67717ee2b6fb4654c109a54bac55c32442086

Observation 682f7b80-fd9b-417e-83aa-b1d334fc5083 · outbound

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

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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source=pdf_text observed=2026-08-15T19:57:37.869662Z digest=sha256:8de1adef4e565f0278677cc4130840f2e890e5b368aaf7ecd7b62d8859d5542a

Observation cfefe375-5763-4cd1-81a9-977cd4b76237 · outbound

This paper cites Understanding diffusion objectives as the ELBO with simple data augmentation.

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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source=pdf_text observed=2026-08-15T19:57:37.873590Z digest=sha256:c85f9d4c90d2bfe0a4a999276c3ca78ae5fc91d77c5b3d890d7a7a10736eb733

Observation 2058cacf-da0a-4a70-afa3-db16da6a2027 · outbound

This paper cites Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

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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source=pdf_text observed=2026-08-15T19:57:37.877089Z digest=sha256:5d9761bcb42cdc948e7dcbf425294e32e6303cceb0fd7ce980b6d229bbbe9ffc

Observation e8926227-19ed-479d-a9e1-ac73f29aa74d · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Flux.https://github.com/black-forest-labs/flux, 2023

Reference 41

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source=pdf_text observed=2026-08-15T19:57:37.881009Z digest=sha256:9367307845a8b9e166318acd8789301ba00ef901cc25f31cc06f740e9c1ca55b

Observation b3d87f10-6970-46e9-a59e-c7e1b94cb1bd · outbound

This paper cites Truncated Consistency Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Truncated Consistency Models

Reference 42

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source=pdf_text observed=2026-08-15T19:57:37.884446Z digest=sha256:a9bf38a10170d1db95ca4c92c3b46d6fd0c7885d6049f7bee6a135ec41be4246

Observation e880a981-1b46-49eb-9c8d-7577660251fb · outbound

This paper cites Bidirectional Consistency Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Bidirectional Consistency Models

Reference 43

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source=pdf_text observed=2026-08-15T19:57:37.888238Z digest=sha256:c16814aa3ef9f51e29a44cdc4c7672d6b60903620ce957ecead0ffea9ea0764e

Observation fc6ec3c6-8ec5-446d-8970-227718bd4ea4 · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Autoregressive Image Generation without Vector Quantization

Reference 44

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source=pdf_text observed=2026-08-15T19:57:37.892141Z digest=sha256:39f2cc375e3289472780c4eae545140e6ff1ce852460ee1c23e80362fc234a5c

Observation d5b32733-db9f-4fb1-9c57-d7f86e9ad9f0 · outbound

This paper cites Flow Matching for Generative Modeling.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Flow Matching for Generative Modeling

Reference 45

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source=pdf_text observed=2026-08-15T19:57:37.896166Z digest=sha256:f952ac911b6250e337c5a56619821a459c1918e7de8e2d3005184c1be822b50a

Observation 8b08c313-c5b9-4c74-97f0-3ef830bc6ae2 · outbound

This paper cites SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation

Reference 46

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source=pdf_text observed=2026-08-15T19:57:37.899794Z digest=sha256:a95adb51c7fb4859b372c522229b538814318a4f0731967358393e8863182388

Observation 88091afb-8e1c-49c2-b645-618b7fe6f99e · outbound

This paper cites Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization.

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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source=pdf_text observed=2026-08-15T19:57:37.903677Z digest=sha256:c2c434284f654f5d3226c6aa73f5fecfcbae060a53e10e9a00ff9aa4a72511f6

Observation 2bcc32c4-f232-4cf6-a43a-70aecfbcc664 · outbound

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

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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raw_fallback, observed 2026-08-15T19:57:38.966932Z

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.

source=pdf_text observed=2026-08-15T19:57:37.907452Z digest=sha256:db4e650210a7e2d74a6c545d2c51522751acc7e61be061fb99221fc895d118a9

Observation 245dc62c-a20b-44be-8288-a36178cab02e · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 49

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source=pdf_text observed=2026-08-15T19:57:37.911262Z digest=sha256:5076ec6a256e3e0f4b38f8197eb56e62c701d89f60a8b28bd06952c125f49e13

Observation 1adfd757-640d-4cf7-a260-d754ad88e40d · outbound

This paper cites 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.

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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source=pdf_text observed=2026-08-15T19:57:37.914967Z digest=sha256:47b556e2d82de430f08465d0e4f34f40ba1b02396f2538de9233ac4fde4ffc9a

Observation 826d2d15-d4bd-4a70-9f85-4469668c420c · outbound

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

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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source=pdf_text observed=2026-08-15T19:57:37.918436Z digest=sha256:069ad92fe7538c4496ad28c3270c184da967a9e4701b3d6c92129b9009394d45

Observation 9cd88b3e-9c6d-4870-b90f-aac4c12a18d6 · outbound

This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.

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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source=pdf_text observed=2026-08-15T19:57:37.922184Z digest=sha256:74da9068e310858bf56f4b7bd26f75aec3244821276947e4630a8bc3c3361ee5

Observation 45186a5e-e909-4201-ab0e-5ece1c078909 · outbound

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

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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source=pdf_text observed=2026-08-15T19:57:37.925986Z digest=sha256:f6d715b334e4c920ad6fd6014fae6c1c60547d3d7204131819b989ca80d2bf1a

Observation 754e5fc3-ccbb-4bbf-899f-a34ae773213d · outbound

This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 54

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source=pdf_text observed=2026-08-15T19:57:37.929683Z digest=sha256:f9a64afdb5f463fc2a5bb0643c1f5a82ac1e0764db9df7b42fffa7a12b1c605f

Observation 1748e9e1-9489-4581-8d0c-550ab91ee434 · outbound

This paper cites Diff- instruct: A universal approach for transferring knowledge from pre-trained diffusion models.

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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raw_fallback, observed 2026-08-15T19:57:38.948426Z

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.

source=pdf_text observed=2026-08-15T19:57:37.933593Z digest=sha256:1d58159c05559eb5d117f1382aa8e00f3852fc968288e7db3ae6cac3fa00d44d

Observation a64868c2-9ce2-4e5e-9851-218fe0a0ce33 · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

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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source=pdf_text observed=2026-08-15T19:57:37.936957Z digest=sha256:f0f6bbfa3e694be5cf69104d6a5afa3163cb45ec83ba8b63dfa77db79fb72222

Observation bf71b5bb-d08b-4dcf-84be-d99c25536ca7 · outbound

This paper cites On distillation of guided diffusion models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation On distillation of guided diffusion models

Reference 57

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source=pdf_text observed=2026-08-15T19:57:37.940760Z digest=sha256:8a05fcffe40191886d3ab4a7511ac173761b0b049e4d9eaf0cca7cd250f3fd38

Observation 2f254e17-c568-456a-96e3-b78d9a67c138 · outbound

This paper cites Scalable diffusion models with transformers.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Scalable diffusion models with transformers

Reference 58

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source=pdf_text observed=2026-08-15T19:57:37.944283Z digest=sha256:c7071fb2df29913c36a42f3e51751cffc06f87b1f7bd011254cfaeea8a907d6b

Observation f4d88b6f-1c6e-43b5-a45c-8037f4e27433 · outbound

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

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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source=pdf_text observed=2026-08-15T19:57:37.947671Z digest=sha256:7f8217c0d68194574a57db5913e193b9a04c4264f695287cbd12078f382b64c3

Observation 702110a8-f290-4055-9983-720866494849 · outbound

This paper cites High- Resolution Image Synthesis with Latent Diffusion Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation High- Resolution Image Synthesis with Latent Diffusion Models

Reference 60

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raw_fallback, observed 2026-08-15T19:57:38.922640Z

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.

source=pdf_text observed=2026-08-15T19:57:37.951389Z digest=sha256:b61ef3d08e4629884149b7f945c65079e3c0a0a665f165d2ae29660a5e60baaf

Observation 57a99c57-91e8-4028-b30a-2e69f25d5908 · outbound

This paper cites Align Your Steps: Optimizing Sampling Schedules in Diffusion Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Reference 61

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source=pdf_text observed=2026-08-15T19:57:37.955271Z digest=sha256:acc05f3b810fee758b2bbda8a966cf8c6fbd70c47f61830042e0f90a1233bb72

Observation 85b758a9-63ab-4f6f-b6a6-47b0d60a4a52 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

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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source=pdf_text observed=2026-08-15T19:57:37.958942Z digest=sha256:253090f6ee894278378a9b5da63889a8704b372643759472a595322fd87d23ac

Observation 68e839ba-e947-4efd-a866-f25d5640fc71 · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 63

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source=pdf_text observed=2026-08-15T19:57:37.962608Z digest=sha256:aaa883f50a7c5a85851c1292d22ce7804c6af768cad4c2e7674f7e1862577be7

Observation 127ca2ba-f294-477d-8b83-0eafef746595 · outbound

This paper cites Multistep distillation of diffusion models via moment matching.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Multistep distillation of diffusion models via moment matching

Reference 64

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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.

source=pdf_text observed=2026-08-15T19:57:37.966197Z digest=sha256:5b2be55c2e55eabfa235d2dac5c1d79dffc9589061efa20c1bb750d3485c747e

Observation efeb13cd-7928-444d-8d7d-1c9e4e1acbbd · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 65

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source=pdf_text observed=2026-08-15T19:57:37.970058Z digest=sha256:368f1f8e2fc594e492fc06ab986fae697ec8338dad3a71be0892023094e34984

Observation 591ade46-837d-461b-a02f-e3b03f327d47 · outbound

This paper cites Fast high-resolution image synthesis with latent adversarial diffusion distillation.

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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source=pdf_text observed=2026-08-15T19:57:37.973521Z digest=sha256:c27b711274be53783b635fb5e6f06d661a6188a014895284113fc54cae12204a

Observation 6f067b03-4156-42a8-8341-392ded24d326 · outbound

This paper cites Adversarial diffusion distillation.

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.

source=pdf_text observed=2026-08-15T19:57:37.976945Z digest=sha256:72b38ea7b9dc7e142aea3a88241f3b18b6c4bb98e753b72a432676fea4d795fe

Observation 01a8e39a-e000-4998-99f4-e8040f9695de · outbound

This paper cites Denoising Diffusion Implicit Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Denoising Diffusion Implicit Models

Reference 68

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source=pdf_text observed=2026-08-15T19:57:37.980779Z digest=sha256:84a3ede59aa315f64013918c4048b3c2524b7d7fba8395b1ca50b35b1008f8e9

Observation 077678bf-2241-4d60-8d7c-13aea180e038 · outbound

This paper cites Improved Techniques for Training Consistency Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Improved Techniques for Training Consistency Models

Reference 69

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source=pdf_text observed=2026-08-15T19:57:37.984176Z digest=sha256:81775440de87921edddde10e5fb6fd8190d126aa18d44e3bab18ccd911836a49

Observation 9e8d6ff7-25b0-45f2-8f3e-b460c7d59ff8 · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 70

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source=pdf_text observed=2026-08-15T19:57:37.987797Z digest=sha256:910f4b64ccca8fdd7275354a1b1c5fc88c67323e02880595bcac45e04faf132f

Observation ddf598e0-c2ad-4bb9-8ed5-093205f67620 · outbound

This paper cites Consistency Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Consistency Models

Reference 71

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source=pdf_text observed=2026-08-15T19:57:37.990991Z digest=sha256:d5d02b001b183757b569da150dcb0bf31a1e19874cc5f2177fb3712c7ce6a700

Observation 384fc5f9-8d6c-4ff6-ac3e-c54339eaefbf · outbound

This paper cites Multi-student Diffusion Distillation for Better One-step Generators.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Multi-student Diffusion Distillation for Better One-step Generators

Reference 72

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source=pdf_text observed=2026-08-15T19:57:37.994720Z digest=sha256:3d85d7d3340bf03a8d05a871260e1447147fb9c108d6e3197107ae1fb00b7753

Observation 01bf3c8c-b665-498b-a831-64f81af864fb · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.Advances in neural information processing systems, 33:7537–7547, 2020.

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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source=pdf_text observed=2026-08-15T19:57:37.998783Z digest=sha256:ed7f4692e77831c90de2f4719c86aae7683fe27601b8be70ac6072367b3f1e4e

Observation bfb74742-75dc-4c36-ab5e-d9932c7d3d13 · outbound

This paper cites Physics Informed Distillation for Diffusion Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Physics Informed Distillation for Diffusion Models

Reference 74

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local_arxiv, observed 2026-08-15T19:57:38.268364Z

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.

source=pdf_text observed=2026-08-15T19:57:38.002352Z digest=sha256:12437240ce436117493cbc80cd22ed5d60f69626089abe7359dc1f77cdf913b8

Observation 4ba97e5b-4b4c-4d5b-b21e-df06df1595dd · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Reference 75

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source=pdf_text observed=2026-08-15T19:57:38.006237Z digest=sha256:358760b201d74828b13689c4a5b2af761a967943a54fc7fe9c66cf153e05be9a

Observation e3d9f7ae-4feb-441a-b90a-4c7a82bc952a · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

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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source=pdf_text observed=2026-08-15T19:57:38.009725Z digest=sha256:7495797b9f9be2c8fcaae65445046fb0e263d2b3c8ae2f2b690d4efc7c86d56b

Observation b151d511-708a-4da7-992a-52e3d68b5b0c · outbound

This paper cites U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers

Reference 77

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source=pdf_text observed=2026-08-15T19:57:38.013339Z digest=sha256:4a559ebbf1be664d96ec89b824c2f11ab9b6bce1640794d51c0aeb71b9670aed

Observation fda3d942-dfff-43fd-8004-3daf4244bd96 · outbound

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

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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source=pdf_text observed=2026-08-15T19:57:38.017046Z digest=sha256:05db16e23d4c06c1d04eeef74dad475fe2b6f49a7b65707d0f4e808e51cd2955

Observation b172fed1-b207-4543-bc9d-a3610945b212 · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Stable Consistency Tuning: Understanding and Improving Consistency Models

Reference 79

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source=pdf_text observed=2026-08-15T19:57:38.020843Z digest=sha256:713f1fc7a7e4aeac6fa2930953fe66608f59a0008bb062262f13e7fe568beade

Observation d0fe48d6-fa8a-4424-988b-4d4a7a4f2966 · outbound

This paper cites Phased Consistency Models.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Phased Consistency Models

Reference 80

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source=pdf_text observed=2026-08-15T19:57:38.024858Z digest=sha256:78b0b7835bff4b06f9131f2c0c74072bc64ef12e8e2bc5c9162838b471079964

Observation 2214babb-5935-4813-a3e9-d350d60df3bd · outbound

This paper cites Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation.

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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source=pdf_text observed=2026-08-15T19:57:38.028916Z digest=sha256:16551c29c5acdc7f2dd17300a1fb1d3c6edc24e510bb0667597f1ff2fb7cadfb

Observation 52a942a7-9166-4dcd-9a23-6f427c62a53c · outbound

This paper cites Em distillation for one-step diffusion models.Advances in Neural Information Processing Systems, 37:45073–45104, 2024.

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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raw_fallback, observed 2026-08-15T19:57:38.847973Z

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.

source=pdf_text observed=2026-08-15T19:57:38.032684Z digest=sha256:170af240da595fab048a7b7574d563b859ea83bdd0250cd91b1a9adc822ae12a

Observation 7fb05b08-bb7b-4a18-b953-fcfac0edcf63 · outbound

This paper cites Disco-diff: Enhancing continuous diffusion models with discrete latents.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Disco-diff: Enhancing continuous diffusion models with discrete latents

Reference 83

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raw_fallback, observed 2026-08-15T19:57:38.836339Z

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.

source=pdf_text observed=2026-08-15T19:57:38.036225Z digest=sha256:64d41a395c3f6f4040f12a935a07d331c511d02c22ba1ac4058dcf71a85be87c

Observation 39920aae-7854-48d5-8c6e-40199dfda62c · outbound

This paper cites Diffusion models without attention.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion models without attention

Reference 84

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:57:38.039746Z digest=sha256:d6d2580567898552667b1403da2fd0f101ffbea64a2cbff7a711437290e106c6

Observation 84d8ee32-b45b-4c53-9f0f-d1b726a6e53c · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 85

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source=pdf_text observed=2026-08-15T19:57:38.043283Z digest=sha256:18853c0e28728435ece6f85063067bfe04a8c027e7b0a5ccb020d8e90db505a0

Observation 0c5ae03f-65e6-46ee-acb1-294d69038446 · outbound

This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 86

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source=pdf_text observed=2026-08-15T19:57:38.046828Z digest=sha256:d4e8a99be489e3d61cc67fe2097cfd22fcb5cc0625a8812bb908b9b1449f9ce7

Observation f7af76ee-ae45-4493-8c62-21532239a46d · outbound

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

Align Your Flow: Scaling Continuous-Time Flow Map Distillation One-step diffusion with distribution matching distillation

Reference 87

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:57:38.050486Z digest=sha256:501bf5354c1916f3f722135397b6966d293eccf0dd697b56eb5689852ef33a69

Observation a5ba6aec-ac0c-4888-bceb-bec77acbdefd · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:57:38.054101Z digest=sha256:9ffa21ba370e5f916089fddddc799bb6b552ff33554228202ac2b05cd946b5ac

Observation be158ca6-766e-4857-a1b5-e40d6029842b · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Fast Sampling of Diffusion Models with Exponential Integrator

Reference 89

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source=pdf_text observed=2026-08-15T19:57:38.058174Z digest=sha256:6c78758e73ce9d49c2fe9a386b308afa2fe3641a499a1b102a36e1e7a7ae2090

Observation dc7a3d07-5cb8-42f9-887e-62d005608db0 · outbound

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

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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source=pdf_text observed=2026-08-15T19:57:38.061897Z digest=sha256:fd25dd88d69c1b37244f1bef9c572aeb67d9446ea8a648c14999a0eb37c15edc

Observation a6104f73-2331-4a95-bc2d-63ad8180e998 · outbound

This paper cites Diffusion Models Are Innate One-Step Generators.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Diffusion Models Are Innate One-Step Generators

Reference 91

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:57:38.065268Z digest=sha256:2b9e579eb874f8d7b67ac0c5ed76e2dbbf03fff42d4d6be063930cdeb758f207

Observation 20475ce5-19f7-4766-b25b-2d0b68ea3634 · outbound

This paper cites Fast sampling of diffusion models via operator learning.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Fast sampling of diffusion models via operator learning

Reference 92

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:57:38.069885Z digest=sha256:261a5ec39cce236ea1e0fafa6245063bd3a41c2dd2778cf3a787679e0c568b7d

Observation e33963dd-3f1f-46f1-b425-26ac9e50a3db · outbound

This paper cites Trajectory consistency distillation, 2024.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Trajectory consistency distillation, 2024

Reference 93

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raw_fallback, observed 2026-08-15T19:57:38.798597Z

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.

source=pdf_text observed=2026-08-15T19:57:38.073610Z digest=sha256:d207b6a7d458269638767727edad5fbf57d11a9d78575dc6ed137d4bb5033ca6

Observation 124769b8-f6bd-4f9a-97ba-65c6b50160db · outbound

This paper cites Inductive Moment Matching.

Align Your Flow: Scaling Continuous-Time Flow Map Distillation Inductive Moment Matching

Reference 94

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source=pdf_text observed=2026-08-15T19:57:38.076891Z digest=sha256:0f079b5c1f9a59409f22615bf1d033ef3b2745a0a9ba45dbc0fd414560c6c3ab

Observation a033e837-bb0c-44c5-87d1-7dd92618ce90 · outbound

This paper cites Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation.

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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source=pdf_text observed=2026-08-15T19:57:38.080587Z digest=sha256:e2210d948516e5de73dba473fbc33a1302522d8f3a1dd5a4ed616b6ef8d510b8

Observation 77deda12-e127-4606-a913-874c6d6833c8 · outbound

This paper cites Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step.

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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source=pdf_text observed=2026-08-15T19:57:38.084450Z digest=sha256:450a232915f709f440929dc5bbaad6c3299fa6fbb5ed31970ed2baabf60ab53c

Observation d2f4f5e5-c009-4a82-9bc0-7bea196b1df0 · outbound

This paper cites w(t,s) ∂tfθ(xt,t,s) +∇ xfθ(xt,t,s)· dxt dt 2 2 # =∇ θExt,t,s.

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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raw_fallback, observed 2026-08-15T19:57:38.787386Z

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.

source=pdf_text observed=2026-08-15T19:57:38.088621Z digest=sha256:8bef21279dec74ed6ea178b473b97246514648c3d09e1744d0d91ce142fe7c9b

Observation eb03b2c9-afc4-4556-b892-00b45cf91466 · outbound

This paper cites 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.

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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raw_fallback, observed 2026-08-15T19:57:38.776262Z

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.

source=pdf_text observed=2026-08-15T19:57:38.092653Z digest=sha256:3814bbf30e9901e7c5d77e51acbe9f30326d5043a610bca37d4bc84fc436cb58

Pith citing papers

Observation 95c2a88e-b316-4128-8ee4-a1aced0bb1ee · inbound

A Continuous-Time Consistency Model for 3D Point Cloud Generation cites this paper.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:43:35.972155Z digest=sha256:59cfa028ae0271d5056820f0f6a19b66be3ee308a39268b05d38d83c54c0c624

Observation 3aa07e3f-275e-4c03-a65f-b9a2ce429c51 · inbound

Transition Models: Rethinking the Generative Learning Objective cites this paper.

Transition Models: Rethinking the Generative Learning Objective Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T10:19:54.439133Z digest=sha256:cf355701a165b2dbc85770dd060a7de390f9b44e00d18c8856124ed24cf18c13

Observation 2570af8f-8360-4a75-8e79-0743adbf9ada · inbound

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency cites this paper.

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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arxiv_id, observed 2026-05-18T08:51:09.138575Z

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.

source=pdf_text observed=2026-05-18T08:46:16.541104Z digest=sha256:d4595c9c9cf10626f98e4385f595e3c0d80d88c67b5a3f81a4ba3141b50a85aa

Observation 8edf59c1-4869-4a47-8e58-2165d8a094c8 · inbound

Adversarial Concept Distillation for One-Step Diffusion Personalization cites this paper.

Adversarial Concept Distillation for One-Step Diffusion Personalization Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 70

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arxiv_id, observed 2026-05-18T04:50:53.703420Z

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.

source=pdf_text observed=2026-05-18T04:50:01.364000Z digest=sha256:3d2a5a415578544039ac837d15d40d9d097771229e241ada9ffc18b271e98649

Observation bdb9e91c-e6d5-486f-8cdf-261f90a5daa8 · inbound

Transition Matching Distillation for Fast Video Generation cites this paper.

Transition Matching Distillation for Fast Video Generation Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:35:06.571559Z digest=sha256:6dcb38b7481365863e6a5ff3fe379309d2d01161087ef22996b294c9f31f4efd

Observation 2702ebb6-ddec-4633-8bf9-faf97b78db7c · inbound

Dual-End Consistency Model cites this paper.

Dual-End Consistency Model Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 39

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metadata mismatch
arxiv_id, observed 2026-05-16T05:40:39.813627Z

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.

source=pdf_text observed=2026-05-16T05:40:36.406150Z digest=sha256:5c9fd2a4cada5d8ff7ea1f96d621ebbb9ebe4e0e28acb5df621eb90c3d356992

Observation 97fac284-0e76-4ec9-9076-b18099afd7fa · inbound

Dual-End Consistency Model cites this paper.

Dual-End Consistency Model Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 39

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no resolver link, observed 2026-08-03T01:04:21.395296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:04:21.395296Z digest=sha256:c346f091a24d2186c3255cef520b2930ca9742b3bdbfd1232e4d36decd6730f6

Observation a92581c8-2218-4bd2-a917-fefabc5e8bce · inbound

Flow Map Language Models: One-step Language Modeling via Continuous Denoising cites this paper.

Flow Map Language Models: One-step Language Modeling via Continuous Denoising Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 92

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arxiv_id, observed 2026-05-15T21:10:19.188482Z

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.

source=pdf_text observed=2026-05-15T21:01:42.916835Z digest=sha256:d765c5d88a17fbe75195ce2972c62691b0b6ae3254a7bddf5d4fb37934370e9b

Observation 5b4daffd-902a-4b12-979e-11914baa9785 · inbound

Flow Map Language Models: One-step Language Modeling via Continuous Denoising cites this paper.

Flow Map Language Models: One-step Language Modeling via Continuous Denoising Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 92

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arxiv_id, observed 2026-05-21T12:24:10.519436Z

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.

source=pdf_text observed=2026-05-21T12:23:49.031978Z digest=sha256:10023eaac55ff4de04d47f52e1a784d8ed9f8da8374faf4fb2456a6cb8c0832b

Observation 9f57c5a8-4651-4b9d-951c-ce1580a72fed · inbound

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation cites this paper.

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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verified exact
arxiv_id, observed 2026-05-10T09:33:41.601618Z

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.

source=pdf_text observed=2026-05-10T05:15:22.907880Z digest=sha256:8d154452e144dae18b2f9befa1ec2af18d318d4a9cddafb914e0d52f04e81b53

Observation 45c4bfc4-eee8-4e12-be01-2c1999dc5c51 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:46:26.681855Z

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.

source=pdf_text observed=2026-05-07T09:24:42.020782Z digest=sha256:b31344f7b7f79f27baf19152912821042e5791a53e7701d9719ddd3ac74c0452

Observation 4baad3db-3e80-4b2f-9a7b-0cd915eb3ae5 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:29:57.162046Z

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.

source=pdf_text observed=2026-05-21T09:25:19.439423Z digest=sha256:a73f1a2cca4d100483c0ac9c685ff3efa2c1ab7c91cb81c58c14f897fc26dc1e

Observation 9ff729f8-ab14-49b1-b6e5-40c3ad56202c · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 50

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verified exact
arxiv_id, observed 2026-07-01T08:25:33.250729Z

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.

source=pdf_text observed=2026-07-01T08:19:37.044714Z digest=sha256:aa1f612f0c7e551348ad6dcf89378267a70fc2792eb620ae4bd4af4f39b23134

Observation 2a8acb91-85e4-4a75-8e18-b139c33bc5ae · inbound

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation cites this paper.

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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verified exact
arxiv_id, observed 2026-05-14T20:07:53.969192Z

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.

source=pdf_text observed=2026-05-14T20:04:53.500686Z digest=sha256:209f639dbb49f52992bdfb512ad3a9c67311675307cf5385c468b896682c1ba2

Observation d41b7659-2cbb-453b-a756-2c435ad5b8eb · inbound

Drift Flow Matching cites this paper.

Drift Flow Matching Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:33:21.418290Z

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.

source=pdf_text observed=2026-05-20T14:31:05.979325Z digest=sha256:0693b31920203b2972407f54c7f00fb7f631f2948cffd88516fb57ed9505abb3

Observation 98d4b329-a96b-479c-9840-612622dd864b · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:53:57.884252Z

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.

source=pdf_text observed=2026-05-21T04:51:57.800006Z digest=sha256:c0cc0b782d62ad2510b2cac9b6ba6cc3b54eb9c92473589c86a1ef5871275bc7

Observation 8ede8f86-cd89-4264-8618-ff2e17a129bb · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:45:24.735986Z

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.

source=pdf_text observed=2026-05-25T05:41:10.076206Z digest=sha256:fe792c60ba1b47d161e6c5e6b2cf08e337ae93d2e7e9575653aeb3ce500c2469

Observation 9133830c-3e29-45be-9afa-2d49cb988342 · inbound

Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry cites this paper.

Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:22:24.794196Z

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.

source=pdf_text observed=2026-06-28T17:18:44.922963Z digest=sha256:c5bd81306052b1e8c45f6400ad8286cf9e763aa4bd0eb2f5b423d14dca570ef1

Observation 8224382c-90bb-4aa4-8445-4b973bb16686 · inbound

Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation cites this paper.

Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:58.069657Z

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.

source=pdf_text observed=2026-06-27T00:55:20.691480Z digest=sha256:ecedee21539fff6136787bc7f4ba141e7494d42793080ec2557006d7265c2e95

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 cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:11.440115Z

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.

source=pdf_text observed=2026-06-25T20:57:30.765802Z digest=sha256:c6517996ea86167d658f30aedcb29e5d140b8f4a64b983e5c3d571e4e940a917

Observation 58db98d1-06a6-4348-9721-010e10052f0c · inbound

Perceptual Flow Matching for Few-Step Generative Modeling cites this paper.

Perceptual Flow Matching for Few-Step Generative Modeling Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:7c5b92f6738c4ecd76490b10f5a4898fe818615a4d72b9f3bcb85fdca184d178

Observation 30ecfd31-03c2-49b8-8d93-fb9c68b996bd · inbound

Parallel Decoding Distillation for Fast Image and Video Generation cites this paper.

Parallel Decoding Distillation for Fast Image and Video Generation Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T00:57:41.491832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:57:41.491832Z digest=sha256:864376345160706a5b48ab71712aaabae331a2393d78795b6a5e2f697f9b2c42

Observation 652f0a0d-d804-417a-9dd8-663e8b916232 · inbound

Flow Map Learning via Nongradient Vector Flow cites this paper.

Flow Map Learning via Nongradient Vector Flow Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T16:53:44.425332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:53:44.425332Z digest=sha256:8a3bbcf0b8fe369d4b6ae82542d058070195dde6060484e66820a29f477a316b