Direct Distributional Optimization for Provable Alignment of Diffusion Models | Paper Citation Record

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This paper cites Analysis and geometry of Markov diffusion operators, volume 348 of Grundlehren der mathematischen Wissenschaften.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Analysis and geometry of Markov diffusion operators, volume 348 of Grundlehren der mathematischen Wissenschaften

Reference 1

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This paper cites Large deviations and the M alliavin calculus , volume 45 of Progress in Mathematics.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Large deviations and the M alliavin calculus , volume 45 of Progress in Mathematics

Reference 2

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Observation 6b914407-c7fe-4f8a-b931-ec9ed2291317 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Training Diffusion Models with Reinforcement Learning

Reference 3

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This paper cites Entropic fictitious play for mean field optimization problem.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Entropic fictitious play for mean field optimization problem

Reference 4

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Observation b5121f2e-4fb6-4b76-a72d-c2aba25df3d1 · outbound

This paper cites Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions

Reference 5

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Observation 7e662975-b5e2-44f9-a1c6-aa5d920ce285 · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 6

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Observation b2598aae-c44f-4b06-a594-875de727cee4 · outbound

This paper cites Mean-field langevin dynamics : Exponential convergence and annealing.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Mean-field langevin dynamics : Exponential convergence and annealing

Reference 7

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This paper cites an unresolved cited work.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Unresolved cited work

Reference 8

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Observation 1055b667-5d09-4dc4-a4e2-4e3752e1d96f · outbound

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

Direct Distributional Optimization for Provable Alignment of Diffusion Models Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 9

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Observation 4a974407-f203-4dc1-b2b7-d383b1b87b22 · outbound

This paper cites Elworthy and X.M.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Elworthy and X.M

Reference 10

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Observation b54df7d1-c0dc-4282-9b6f-75fb0babad38 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Direct Distributional Optimization for Provable Alignment of Diffusion Models KTO: Model Alignment as Prospect Theoretic Optimization

Reference 11

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Observation 1e02e7de-8b6f-48c2-9c4a-6f1d443e89f0 · outbound

This paper cites Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models

Reference 12

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Observation 307fdad5-edb7-4ae3-9670-60409c682a95 · outbound

This paper cites Diffusion models for counterfactual generation and anomaly detection in brain images.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Diffusion models for counterfactual generation and anomaly detection in brain images

Reference 13

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Observation baafc7b8-ac6e-408a-b169-c9c7477e22dd · outbound

This paper cites Diffusion Schrödinger Bridges for Bayesian Computation.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Diffusion Schrödinger Bridges for Bayesian Computation

Reference 14

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Observation f9c6869e-6ffb-4aae-a4c0-4eddf9733553 · outbound

This paper cites Denoising diffusion probabilistic models.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Denoising diffusion probabilistic models

Reference 15

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Observation 3d811b62-7b9a-4325-a060-54e15b665d03 · outbound

This paper cites Logarithmic sobolev inequalities and stochastic ising models.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Logarithmic sobolev inequalities and stochastic ising models

Reference 16

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Observation 109dfa2e-16e1-4392-a4a2-8da57fbb1822 · outbound

This paper cites Mean-field langevin dynamics and energy landscape of neural networks.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Mean-field langevin dynamics and energy landscape of neural networks

Reference 17

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Observation 337f3612-4f09-4850-b025-0a5f91cb8dcf · outbound

This paper cites The hugging face diffusion models course, 2022.

Direct Distributional Optimization for Provable Alignment of Diffusion Models The hugging face diffusion models course, 2022

Reference 18

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Observation 030d7e89-9c10-4130-9e94-e880b68bf8d4 · outbound

This paper cites Aligning Diffusion Models by Optimizing Human Utility.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Aligning Diffusion Models by Optimizing Human Utility

Reference 19

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Observation e2740903-d609-4d1d-87e3-68d04af0caef · outbound

This paper cites Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Reference 20

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Observation 54857491-21fb-4f81-8b08-dbe0bace927a · outbound

This paper cites Diffusion model-based probabilistic downscaling for 180-year east asian climate reconstruction.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Diffusion model-based probabilistic downscaling for 180-year east asian climate reconstruction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:55.134836Z

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Observation 756e101d-7857-4f39-b163-d782083fef9b · outbound

This paper cites Johansson.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Johansson

Reference 22

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Observation 5c117e4f-dff5-4252-a0e6-13eaaea609b4 · outbound

This paper cites Polyak-- ojasiewicz inequality on the space of measures and convergence of mean-field birth-death processes.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Polyak-- ojasiewicz inequality on the space of measures and convergence of mean-field birth-death processes

Reference 23

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Observation 2070ac72-9fc8-4fd5-8163-32e9e79840aa · outbound

This paper cites Medical mnist classification, 2017.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Medical mnist classification, 2017

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:55.115082Z

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Observation 47ab5e3e-f01d-485f-912d-3e1f23f0f212 · outbound

This paper cites Implicit Diffusion: Efficient Optimization through Stochastic Sampling.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Implicit Diffusion: Efficient Optimization through Stochastic Sampling

Reference 25

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Observation 1a729895-5e7a-4765-9caf-6a0bc7fb155b · outbound

This paper cites A mean field view of the landscape of two-layer neural networks.

Direct Distributional Optimization for Provable Alignment of Diffusion Models A mean field view of the landscape of two-layer neural networks

Reference 26

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Observation e4c5db02-ab09-42d8-a83d-3bcfd1f463b4 · outbound

This paper cites An introduction to evolution PDEs , Chapter 0: On the Gronwall lemma, 2019.

Direct Distributional Optimization for Provable Alignment of Diffusion Models An introduction to evolution PDEs , Chapter 0: On the Gronwall lemma, 2019

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:55.093695Z

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Observation ebfa47e9-8611-4082-b745-4f1a92c8a6ea · outbound

This paper cites Primal-dual subgradient methods for convex problems.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Primal-dual subgradient methods for convex problems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:55.083328Z

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Observation 2062e4b1-582f-4274-9cd2-17de23e47535 · outbound

This paper cites Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:55.072505Z

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Observation 2c013585-91e1-40f3-9058-2cc62de897c0 · outbound

This paper cites Improved Particle Approximation Error for Mean Field Neural Networks.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Improved Particle Approximation Error for Mean Field Neural Networks

Reference 30

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This paper cites Particle dual averaging: Optimization of mean field neural network with global convergence rate analysis.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Particle dual averaging: Optimization of mean field neural network with global convergence rate analysis

Reference 31

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Observation 221b966c-3d25-4796-bd2f-ae2a60e7fadb · outbound

This paper cites Convex analysis of the mean field langevin dynamics.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Convex analysis of the mean field langevin dynamics

Reference 32

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Observation a4031ac2-6f0f-4dc3-b4af-098abc33ad4f · outbound

This paper cites Primal and dual analysis of entropic fictitious play for finite-sum problems.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Primal and dual analysis of entropic fictitious play for finite-sum problems

Reference 33

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Observation 2cb33f48-40b5-4c84-8073-69d9f0df71ea · outbound

This paper cites Particle stochastic dual coordinate ascent: Exponential convergent algorithm for mean field neural network optimization.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Particle stochastic dual coordinate ascent: Exponential convergent algorithm for mean field neural network optimization

Reference 34

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Observation 4e56ef55-0c90-49ee-b75a-a401894b7cdf · outbound

This paper cites Training language models to follow instructions with human feedback.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Training language models to follow instructions with human feedback

Reference 35

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Observation 16a339f8-3af4-487c-8c67-d533be7669e1 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Direct preference optimization: Your language model is secretly a reward model

Reference 36

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Direct Distributional Optimization for Provable Alignment of Diffusion Models Unresolved cited work

Reference 37

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Observation a05aab81-5d3e-448b-9cc4-9b52e6fb8dac · outbound

This paper cites Stochastic dual coordinate ascent methods for regularized loss minimization.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Stochastic dual coordinate ascent methods for regularized loss minimization

Reference 38

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Observation 9093bd95-f786-475c-86b4-e5ec7ca55ff5 · outbound

This paper cites Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs

Reference 39

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Observation bda4ccc7-c900-4fd8-8b3a-a10b3d38ae7e · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 40

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This paper cites Generative modeling by estimating gradients of the data distribution.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Generative modeling by estimating gradients of the data distribution

Reference 41

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This paper cites Score-based generative modeling through stochastic differential equations.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Score-based generative modeling through stochastic differential equations

Reference 42

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Observation c6d087c3-6cc3-4d2c-970b-826b5a086385 · outbound

This paper cites Direct importance estimation for covariate shift adaptation.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Direct importance estimation for covariate shift adaptation

Reference 43

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Observation d282335f-7175-4cae-9738-c30d252d3f4b · outbound

This paper cites Convergence of mean-field langevin dynamics: time-space discretization, stochastic gradient, and variance reduction.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Convergence of mean-field langevin dynamics: time-space discretization, stochastic gradient, and variance reduction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:54.960086Z

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Observation 886bb1aa-7b9d-4561-89b0-031c53c4df02 · outbound

This paper cites Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond, 2024.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond, 2024

Reference 45

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This paper cites Direct density ratio estimation for large-scale covariate shift adaptation.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Direct density ratio estimation for large-scale covariate shift adaptation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:54.949442Z

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Observation 2b453b7a-1b2c-406e-a6aa-fa0013932d7e · outbound

This paper cites Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review

Reference 47

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Observation 057b9782-9fbe-4cd3-91ef-09d2882e0091 · outbound

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

Direct Distributional Optimization for Provable Alignment of Diffusion Models Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Reference 48

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Observation a4fc831b-faf8-48c0-9b5b-18bb5cd50fc7 · outbound

This paper cites Score-based generative modeling in latent space.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Score-based generative modeling in latent space

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:54.939220Z

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Observation 5e6c785e-975f-40a3-9b5b-5be090320238 · outbound

This paper cites Diffusers: State-of-the-art diffusion models.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Diffusers: State-of-the-art diffusion models

Reference 50

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This paper cites Diffusion model alignment using direct preference optimization.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Diffusion model alignment using direct preference optimization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:54.923561Z

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Observation 199fe33d-4c07-43c5-806d-03e17074ad0a · outbound

This paper cites Minimizing convex functionals over space of probability measures via KL divergence gradient flow.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Minimizing convex functionals over space of probability measures via KL divergence gradient flow

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:36:54.913321Z

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Observation 3981c0b5-918d-425b-8df3-3f444ae200b0 · outbound

This paper cites Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 53

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Observation 3fd8ac7c-5e10-4b21-aea2-73d32ea95123 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Direct Distributional Optimization for Provable Alignment of Diffusion Models Fine-Tuning Language Models from Human Preferences

Reference 54

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Observation 65c1d934-a978-4afa-b4ec-8a170be440fb · outbound

This paper cites write newline.

Direct Distributional Optimization for Provable Alignment of Diffusion Models write newline

Reference 55

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Direct Distributional Optimization for Provable Alignment of Diffusion Models @esa (Ref

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Observation 73971fdc-b046-4de2-aa90-b1421c148ebb · outbound

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Direct Distributional Optimization for Provable Alignment of Diffusion Models Unresolved cited work

Reference 57

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Reference 58

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