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Paper Citation Record · LEDGER

Improving Rectified Flow with Boundary Conditions

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.15864.

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

pith.paper-citation-record.v1
2506.15864 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:36:05.055908Z

measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy14
  • unresolved23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 093c73dc-d4c3-4f53-9f62-2fcb921ac63f · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Improving Rectified Flow with Boundary Conditions Building Normalizing Flows with Stochastic Interpolants

Reference 1

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Observation ab38a23e-c63e-46ad-b65c-67e2b1f30290 · outbound

This paper cites Imagen 3.

Improving Rectified Flow with Boundary Conditions Imagen 3

Reference 2

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Observation 851758dd-10af-4c1f-8133-bee966916bdf · outbound

This paper cites Improving image generation with better captions.Computer Science.

Improving Rectified Flow with Boundary Conditions Improving image generation with better captions.Computer Science

Reference 3

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Observation 37ead7a2-fc9e-4b6d-8d10-e34e3db9c616 · outbound

This paper cites Jax: composable transformations of python+ numpy programs.

Improving Rectified Flow with Boundary Conditions Jax: composable transformations of python+ numpy programs

Reference 4

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Observation 06adc017-8509-4819-9eaa-e409d6b3b821 · outbound

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

Improving Rectified Flow with Boundary Conditions Imagenet: A large-scale hierarchical image database

Reference 5

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Observation d5b6659c-f086-4293-9263-13a7e70cd008 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

Improving Rectified Flow with Boundary Conditions Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 6

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Observation 1a716523-6ed4-4a27-93a4-d23350507d4b · outbound

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

Improving Rectified Flow with Boundary Conditions Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 7

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Observation d9f37680-9108-49ad-960c-da7e70b3b7b6 · outbound

This paper cites FLUX that Plays Music.

Improving Rectified Flow with Boundary Conditions FLUX that Plays Music

Reference 8

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Observation fa13ed24-4ab7-4d66-93be-92f717ab128a · outbound

This paper cites Murphy, and Tim Salimans.

Improving Rectified Flow with Boundary Conditions Murphy, and Tim Salimans

Reference 9

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Observation 09a147b1-7ab0-4981-a2b7-494b0bc26d6f · outbound

This paper cites Iter- ativeα-(de) blending: A minimalist deterministic diffusion model.

Improving Rectified Flow with Boundary Conditions Iter- ativeα-(de) blending: A minimalist deterministic diffusion model

Reference 10

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Observation 91a78d0c-2d98-4a9e-a706-cff909b2534a · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

Improving Rectified Flow with Boundary Conditions Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 11

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Observation 600ec205-4891-48db-8e4e-4d48b0726624 · outbound

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

Improving Rectified Flow with Boundary Conditions Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 12

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Observation 1af303a8-8aa4-4968-aaf2-309912a0b8e0 · outbound

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

Improving Rectified Flow with Boundary Conditions Video dif- fusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022

Reference 13

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Observation a1d2e18a-d89e-49f0-bada-7b8229d2d6f4 · outbound

This paper cites AMO Sampler: Enhancing Text Rendering with Overshooting.

Improving Rectified Flow with Boundary Conditions AMO Sampler: Enhancing Text Rendering with Overshooting

Reference 14

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Observation d41cb898-a457-456a-9f1b-a378d297bdf1 · outbound

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

Improving Rectified Flow with Boundary Conditions Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022

Reference 15

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Observation 78435bc9-9747-4676-a3f1-b20276992223 · outbound

This paper cites Understanding diffu- sion objectives as the elbo with simple data augmentation.

Improving Rectified Flow with Boundary Conditions Understanding diffu- sion objectives as the elbo with simple data augmentation

Reference 16

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Observation da03396e-725d-473a-94ef-96940497ca85 · outbound

This paper cites Learning multiple layers of features from tiny images.

Improving Rectified Flow with Boundary Conditions Learning multiple layers of features from tiny images

Reference 17

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Observation c0fdbd6f-0686-45dc-88f9-35a638de923c · outbound

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

Improving Rectified Flow with Boundary Conditions Flux.https://github.com/ black-forest-labs/flux, 2023

Reference 18

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Observation 58e778b0-553c-48e4-852c-38f401685458 · outbound

This paper cites V oicebox: Text-guided multilingual universal speech generation at scale.Advances in neural information processing systems, 36, 2024.

Improving Rectified Flow with Boundary Conditions V oicebox: Text-guided multilingual universal speech generation at scale.Advances in neural information processing systems, 36, 2024

Reference 19

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Observation b862a056-1d16-486d-ab5e-7b46b4f03b46 · outbound

This paper cites Improving the training of rectified flows.Advances in neural information processing systems, 37:63082–63109, 2024.

Improving Rectified Flow with Boundary Conditions Improving the training of rectified flows.Advances in neural information processing systems, 37:63082–63109, 2024

Reference 20

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Observation c8ec4bcd-1401-428a-b288-070ff82f5bef · outbound

This paper cites Flow Matching for Generative Modeling.

Improving Rectified Flow with Boundary Conditions Flow Matching for Generative Modeling

Reference 21

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Observation c7404c59-50d7-4d54-a54c-1cb1dd811885 · outbound

This paper cites Flow Matching Guide and Code.

Improving Rectified Flow with Boundary Conditions Flow Matching Guide and Code

Reference 22

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Observation adfb9f9b-6439-42a3-883d-bee1a0de048f · outbound

This paper cites Rectified Flow: A Marginal Preserving Approach to Optimal Transport.

Improving Rectified Flow with Boundary Conditions Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 23

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Observation 4964d3b7-9d3d-467c-bda4-bedd4203da0c · outbound

This paper cites an unresolved cited work.

Improving Rectified Flow with Boundary Conditions Unresolved cited work

Reference 24

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Observation 91971d41-cbd6-447d-9f99-60516d40d450 · outbound

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

Improving Rectified Flow with Boundary Conditions Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 25

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Observation dd1e5de7-7f2f-4ab3-a248-30041c1d2039 · 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,.

Improving Rectified Flow with Boundary Conditions Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787,

Reference 26

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Observation 8e7f0eda-56ff-4ac4-a1b4-6b09e9c27009 · outbound

This paper cites On distillation of guided diffusion models.

Improving Rectified Flow with Boundary Conditions On distillation of guided diffusion models

Reference 27

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Observation 596e0f6d-1e2d-4712-83c1-fd013d8a096c · outbound

This paper cites Improved denoising diffusion probabilistic models.

Improving Rectified Flow with Boundary Conditions Improved denoising diffusion probabilistic models

Reference 28

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Observation f4bf2b2b-f2aa-4435-92f8-f5cf8c7b7e87 · outbound

This paper cites Scalable diffusion models with transformers.

Improving Rectified Flow with Boundary Conditions Scalable diffusion models with transformers

Reference 29

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Observation e1da8c4c-925f-47e0-8577-7a43572a0f9e · outbound

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

Improving Rectified Flow with Boundary Conditions SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 30

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Observation 3e39a02c-2a4c-43a7-8eb2-de7fa4c67380 · outbound

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

Improving Rectified Flow with Boundary Conditions Movie Gen: A Cast of Media Foundation Models

Reference 31

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Observation 2f8e5d62-782c-4267-969b-789649677a55 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

Improving Rectified Flow with Boundary Conditions Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 32

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Observation b68fdaf5-4766-4188-b550-1c6e8f7394e5 · outbound

This paper cites Assessing generative models via precision and recall.Advances in neural information pro- cessing systems, 31, 2018.

Improving Rectified Flow with Boundary Conditions Assessing generative models via precision and recall.Advances in neural information pro- cessing systems, 31, 2018

Reference 33

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Observation ac06349a-ba0b-4ae7-8f79-c6fa0962ae0a · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29, 2016.

Improving Rectified Flow with Boundary Conditions Improved techniques for training gans.Advances in neural information processing systems, 29, 2016

Reference 34

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Observation b4fc870e-abef-4b87-9b80-72b484b3cd46 · outbound

This paper cites Bespoke Solvers for Generative Flow Models.

Improving Rectified Flow with Boundary Conditions Bespoke Solvers for Generative Flow Models

Reference 35

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Observation e0a859d9-73f7-43ca-83fa-d1065ac5138a · outbound

This paper cites Denoising Diffusion Implicit Models.

Improving Rectified Flow with Boundary Conditions Denoising Diffusion Implicit Models

Reference 36

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Observation 720d2493-0a56-4099-a19c-b96e8e51d20b · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

Improving Rectified Flow with Boundary Conditions Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:36:05.415230Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T19:36:05.051379Z digest=sha256:fd3b3a57c736949c683bdcfdf414f02f2592c80ead4c5e57192eafceb0ee8a80

Observation 1840911b-2ffe-41e3-827d-fae0bc3f9d4e · outbound

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

Improving Rectified Flow with Boundary Conditions Score-Based Generative Modeling through Stochastic Differential Equations

Reference 38

Resolution
malformed identifier
no resolver link, observed 2026-08-15T19:36:05.055908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:36:05.055908Z digest=sha256:b8cc5cd43e9881e0130385d9481a85c1ecd2f0af3e9b0e3a092a131f14c61339

Pith citing papers

No inbound Pith citation observations are available.