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Paper Citation Record · LEDGER

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.22660.

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

pith.paper-citation-record.v1
2607.22660 v1

Coverage vector

measured 26 of 26 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T09:47:35.715970Z

measured 26 of 26 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

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measured 0 of 1 external citation measurements

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26 of 26 outbound references displayed

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Outbound references

Observation d661f952-b554-44e8-9a63-02133d43ce45 · outbound

This paper cites Deep un- supervised learning using nonequilibrium thermodynamics.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Deep un- supervised learning using nonequilibrium thermodynamics

Reference 1

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Observation 296ac25d-b403-4dc8-89b1-2c41184f7769 · outbound

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

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2

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Observation 7b14116d-2289-4c63-aa47-070a14c928ac · outbound

This paper cites Denoising diffusion probabilistic models.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Denoising diffusion probabilistic models

Reference 3

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Observation d090d25c-4b05-4267-82f6-b6e846b8c2d4 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Imagen Video: High Definition Video Generation with Diffusion Models

Reference 4

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Observation dc02a00d-9d80-4875-93ce-8182523c6cfa · outbound

This paper cites Equiv- ariant diffusion for molecule generation in 3d.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Equiv- ariant diffusion for molecule generation in 3d

Reference 5

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Observation 04503914-afa1-4025-a903-df41e24a3bb7 · outbound

This paper cites GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 6

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Observation f049c29e-eb66-422c-8f12-32ed8b614d7b · outbound

This paper cites Score-based diffusion models for accelerated mri.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Score-based diffusion models for accelerated mri

Reference 7

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Observation d4d1c25b-3b1f-4b1b-b99c-ca5b50a7e71c · outbound

This paper cites Measurement-conditioned denoising diffusion proba- bilistic model for under-sampled medical image reconstruction.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Measurement-conditioned denoising diffusion proba- bilistic model for under-sampled medical image reconstruction

Reference 8

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Observation e513a67f-dbf3-472d-a4e6-0b3324f6f37e · outbound

This paper cites Generative adversarial nets.Ad- vances in neural information processing systems, 27, 2014.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Generative adversarial nets.Ad- vances in neural information processing systems, 27, 2014

Reference 9

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Observation db855559-5c19-485f-b8f5-90b50448d990 · outbound

This paper cites Denoising Diffusion Implicit Models.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Denoising Diffusion Implicit Models

Reference 10

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Observation 0be21274-813e-4684-9f36-53a99f2f28ee · outbound

This paper cites On Fast Sampling of Diffusion Probabilistic Models.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs On Fast Sampling of Diffusion Probabilistic Models

Reference 11

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Observation 566399b4-d018-48a0-9142-f3f7f6437bb5 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 12

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Observation 95464899-9c9d-43c5-ad3a-4cc8e0b52289 · outbound

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

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs One-step diffusion with distribution matching distillation

Reference 13

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Observation 7e067df4-edb0-4eee-a102-c474a64d06be · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Training Diffusion Models with Reinforcement Learning

Reference 14

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Observation 866a13e8-bb4b-40fb-a51e-e745393d659c · outbound

This paper cites Dpok: Reinforce- ment learning for fine-tuning text-to-image diffusion models.Advances in Neural Infor- mation Processing Systems, 36:79858–79885, 2023.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Dpok: Reinforce- ment learning for fine-tuning text-to-image diffusion models.Advances in Neural Infor- mation Processing Systems, 36:79858–79885, 2023

Reference 15

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Observation f0564b63-6294-4dcf-b2ea-0a04bd218b93 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 16

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Observation 5c232497-a4e0-46ac-a165-19aceb215fe5 · outbound

This paper cites Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 17

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Observation 149ddf87-0428-43ff-96c4-425d309ca0f2 · outbound

This paper cites Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Reference 18

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Observation 1cdfede5-4e8c-4950-86c6-efeabc9062b1 · outbound

This paper cites Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond, 2025.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond, 2025

Reference 19

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Observation 4b85f6e2-077b-4c21-a50d-29c0a6005fca · outbound

This paper cites Conjugate convex functions in optimal stochastic control.Journal of Mathematical Analysis and Applications, 44(2):384–404, 1973.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Conjugate convex functions in optimal stochastic control.Journal of Mathematical Analysis and Applications, 44(2):384–404, 1973

Reference 20

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source=pdf_text observed=2026-08-02T09:47:35.304001Z digest=sha256:045ce02228b65fc09ee0337ad83ce0f63e56e9a016af21a3b05dffd2dc49d899

Observation dab6c55f-76e3-4a4b-93e4-ab01b990a5c3 · outbound

This paper cites Adapted solution of a backward stochastic differential equation.Systems & Control Letters, 14(1):55–61, 1990.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Adapted solution of a backward stochastic differential equation.Systems & Control Letters, 14(1):55–61, 1990

Reference 21

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Observation d318720e-5050-4155-904a-62c59ee54c7f · outbound

This paper cites Stochastic hamilton–jacobi–bellman equations.SIAM Journal on Control and Optimization, 30(2):284–304, 1992.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Stochastic hamilton–jacobi–bellman equations.SIAM Journal on Control and Optimization, 30(2):284–304, 1992

Reference 22

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Observation cba7dd8b-d04d-4720-89e9-3727334d5036 · outbound

This paper cites Backward stochastic differential equations and applications to optimal con- trol.Applied Mathematics and Optimization, 27(2):125–144, 1993.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Backward stochastic differential equations and applications to optimal con- trol.Applied Mathematics and Optimization, 27(2):125–144, 1993

Reference 23

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Observation d0f22741-9658-498d-ad46-a0083bc5849f · outbound

This paper cites Solving high-dimensional partial differen- tial equations using deep learning.Proceedings of the National Academy of Sciences, 115(34):8505–8510, 2018.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Solving high-dimensional partial differen- tial equations using deep learning.Proceedings of the National Academy of Sciences, 115(34):8505–8510, 2018

Reference 24

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Observation 39d84b0f-d413-484a-b9e9-f4925e9c713a · outbound

This paper cites Reverse-time diffusion equation models.Stochastic Processes and their Applications, 12(3):313–326, 1982.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Reverse-time diffusion equation models.Stochastic Processes and their Applications, 12(3):313–326, 1982

Reference 25

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Observation 0105b3e0-6a54-4520-ba01-e19cb5497e7f · outbound

This paper cites Backward stochastic differential equations and partial differen- tial equations with quadratic growth.The Annals of Probability, 28(2):558–602, 2000.

Generalized Fine-Tuning of Diffusion Models via Stochastic Control and FBSDEs Backward stochastic differential equations and partial differen- tial equations with quadratic growth.The Annals of Probability, 28(2):558–602, 2000

Reference 26

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