Paper Citation Record · LEDGER

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 4 inbound Pith citation observations for arXiv:2506.02698.

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

pith.paper-citation-record.v1
2506.02698 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:59.112534Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:45.863473Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T18:17:54.993548Z

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 2f6be90b-4eee-4876-9e8f-7b522e53ba5a · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

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Observation be496f72-16b7-44bb-8d73-d641a467e6bb · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Training Diffusion Models with Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:55.827408Z

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Observation d5e3b7bd-97c6-4f1f-b3cf-10468669cf26 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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Observation e603ddbb-b89c-4cf5-a06b-448d4669bad5 · outbound

This paper cites Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Reference 6

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Observation 78dedd7f-80b7-49f0-80c8-85b22f1e3ad6 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.089467Z

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Observation 8772704b-6c27-4b26-827c-cb8ed16fff3c · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.176764Z

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Observation cdc149b9-915d-424e-9dea-68b5d1b25766 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.227039Z

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Observation 38a157e1-32a6-473f-9f85-45003d33cdcb · outbound

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

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences KTO: Model Alignment as Prospect Theoretic Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.272417Z

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Observation cee6dc9e-d8e7-429f-ba99-f2147dc1746a · outbound

This paper cites DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.305076Z

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Observation 1bf2c71b-5131-41ce-90a7-b71f239bb1f1 · outbound

This paper cites Geometric-Averaged Preference Optimization for Soft Preference Labels.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Geometric-Averaged Preference Optimization for Soft Preference Labels

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.372138Z

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Observation fceae8d0-9b28-4509-a9a7-255461e1da22 · outbound

This paper cites DataComp: In search of the next generation of multimodal datasets.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences DataComp: In search of the next generation of multimodal datasets

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.445045Z

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Observation 10cbcebb-e19e-415c-aa15-96d437727881 · outbound

This paper cites ReNoise: Real Image Inversion Through Iterative Noising.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences ReNoise: Real Image Inversion Through Iterative Noising

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.512465Z

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Observation 0f6310d3-adc3-4503-84eb-d22f889af12d · outbound

This paper cites Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.581759Z

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Observation 4b8211a5-a6aa-49c5-9b9f-f4298a4585b0 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 18

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Observation ef04d2fa-81f7-4111-80fe-2c62a1fb4317 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Denoising Diffusion Probabilistic Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.789376Z

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Observation 448511db-2125-42b9-a53f-33ee50dd9899 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences A style-based generator architecture for generative adversarial networks.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:01.562221Z

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Observation cfa76fef-b39a-4eaf-b392-3afa353af91a · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Aligning Text-to-Image Models using Human Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:57.104319Z

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Observation 5f042a62-35cd-469a-97af-f8d81b2429fa · outbound

This paper cites Flow Matching for Generative Modeling.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Flow Matching for Generative Modeling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:57.194962Z

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Observation 0e0ccf30-284f-4466-bbd8-31784cf8610c · outbound

This paper cites Alignment of diffusion models: Fundamentals, challenges, and future.ArXiv, abs/2409.07253,.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Alignment of diffusion models: Fundamentals, challenges, and future.ArXiv, abs/2409.07253,

Reference 26

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Observation 8d9f8622-e1c9-452a-a71b-742cf211ddd4 · outbound

This paper cites Statistical Rejection Sampling Improves Preference Optimization.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Statistical Rejection Sampling Improves Preference Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:57.308215Z

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Observation 7fd89af2-1374-4b3e-8d74-a40d50537b64 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:57.380166Z

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Observation 2422dd73-ae7c-4c52-95f1-bf3474c70355 · outbound

This paper cites Decoupled Weight Decay Regularization.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Decoupled Weight Decay Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:57.418939Z

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Observation d2c6ffe6-c6f9-4874-878a-780432dd8fd7 · outbound

This paper cites SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:26:59.684088Z

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Observation 0e04408c-6c52-4c37-bbb6-2fe91047e5ef · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 31

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Observation dd89afc5-27a3-4d66-9649-9fd768ec2570 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Improved Denoising Diffusion Probabilistic Models

Reference 32

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Observation df6a03b1-68af-4b5f-b9e6-09bb90223f86 · outbound

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Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Unresolved cited work

Reference 33

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Observation c1a7ce20-1f86-495b-b46d-fcb2d636954a · outbound

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

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 34

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Observation fb0e56bb-7108-4e0c-9b43-95a77368242d · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences DreamFusion: Text-to-3D using 2D Diffusion

Reference 35

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Observation 78489e33-44c9-44ff-984f-fcd44c666a83 · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 36

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Observation 09213b32-efbf-4610-9b82-b4ab14149814 · outbound

This paper cites Video Diffusion Alignment via Reward Gradients.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Video Diffusion Alignment via Reward Gradients

Reference 37

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Observation a193fa76-43f9-46d3-9580-583053e36433 · outbound

This paper cites High-resolution image synthesis with la- tent diffusion models.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences High-resolution image synthesis with la- tent diffusion models.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 38

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Observation 8c9ed9c1-4ed8-426a-8635-d91c7d7c57bd · outbound

This paper cites Proximal Policy Optimization Algorithms.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Proximal Policy Optimization Algorithms

Reference 40

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Observation b99bcfd6-a74f-4506-b0ff-c2de9ac7eafc · outbound

This paper cites Denoising Diffusion Implicit Models.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Denoising Diffusion Implicit Models

Reference 41

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Observation b2ba0803-62c4-4fa2-ad8e-db0324e5e752 · outbound

This paper cites R., and Naik, N.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences R., and Naik, N

Reference 43

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Observation 22c6f668-2bb8-4441-afa9-2db16d208578 · outbound

This paper cites Reinforcement Learning for LLM Post-Training: A Survey.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Reinforcement Learning for LLM Post-Training: A Survey

Reference 44

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Observation b388cfb1-1116-4dbd-8366-a50804e17caa · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 45

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Observation c1c3c3fc-88bb-4ecf-860f-413d10b0ec8b · outbound

This paper cites Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation

Reference 46

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Observation 627bc115-f076-497a-ad7a-46e8ea664e20 · outbound

This paper cites ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

Reference 47

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Observation 25e2edb2-8478-4cdd-a265-3ec2128f7da3 · outbound

This paper cites Using human feedback to fine- tune diffusion models without any reward model.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Using human feedback to fine- tune diffusion models without any reward model.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 48

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Observation 29594c08-845d-45b9-b3e7-cbcaf9ac0b5d · outbound

This paper cites A Dense Reward View on Aligning Text-to-Image Diffusion with Preference.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences A Dense Reward View on Aligning Text-to-Image Diffusion with Preference

Reference 49

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Observation 6444d429-66b4-4131-8379-fd37e72ace47 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 50

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Observation 11d9f62a-5dd0-4174-9e11-c933b93f8e55 · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 51

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Observation decb9ae9-765b-439a-8be8-2b9f73f8a154 · outbound

This paper cites A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:58.845200Z

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Observation 9278ed30-95ad-4a91-86c7-91f0c10e45d9 · outbound

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Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Unresolved cited work

Reference 53

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Observation 75dc9ae0-51e0-4cf4-a827-18b3ba5bbf3e · outbound

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Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Unresolved cited work

Reference 54

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Observation eda2e915-bc99-4f00-88d9-e12408963d6a · outbound

This paper cites (2023) applies rejection sampling optimization to gather preference data from the optimal policy.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences (2023) applies rejection sampling optimization to gather preference data from the optimal policy

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:00.689655Z

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Observation 709fe0c9-afcf-48ba-9efd-1513d4fa8514 · outbound

This paper cites This method utilizes an image reward model to improve video quality while reducing fine-tuning costs through partial DDIM sampling.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences This method utilizes an image reward model to improve video quality while reducing fine-tuning costs through partial DDIM sampling

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:00.479999Z

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Observation 99dcff3d-ad0c-4f49-9fd3-f20ef1b0984e · outbound

This paper cites For tasks involving depth maps and Canny edges, the controlnet conditioning scales are set to 0.5 and 0.3, respectively, with CFG fixed at 5 for both.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences For tasks involving depth maps and Canny edges, the controlnet conditioning scales are set to 0.5 and 0.3, respectively, with CFG fixed at 5 for both

Reference 57

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:26:59.371051Z

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Observation 7d1e15e6-2f3c-4c47-b740-529f5eeca81b · outbound

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

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 2017

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Observation 5d28bbb1-9a81-48a2-9236-dfad6b5985c6 · outbound

This paper cites Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:57.023590Z

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Observation 892ac07c-d244-439b-9754-3350ff51f99e · outbound

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

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2019

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Observation 56b74156-4c7a-4abe-af62-87ec505a59d1 · outbound

This paper cites Reference-free monolithic preference optimization with odds ratio.arXiv e-prints, pp.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Reference-free monolithic preference optimization with odds ratio.arXiv e-prints, pp

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.917241Z

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Observation f4c05ef4-1bf4-4432-b848-3c4f87b9da89 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 2021

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Observation 4e695f2c-2940-44ed-ac9a-0553c0eff05e · outbound

This paper cites Classifier-Free Diffusion Guidance.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Classifier-Free Diffusion Guidance

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.721978Z

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Observation b48ef145-51f6-43df-867a-cd77217e437f · outbound

This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Reference 2023

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Observation ba38f1da-de91-489d-902b-14bf6449507e · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Building Normalizing Flows with Stochastic Interpolants

Reference 2024

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Observation 1d44cae7-e8fb-4df0-8324-af6f84719615 · outbound

This paper cites TextDiffuser: Diffusion Models as Text Painters.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences TextDiffuser: Diffusion Models as Text Painters

Reference 2025

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Pith citing papers

Observation 8a141ff1-1f8c-4fd5-a84f-c97254b6ab74 · inbound

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models cites this paper.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.863473Z

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Observation dd186e3b-3c85-4d42-abdf-4aacb1d173a4 · inbound

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation cites this paper.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:17:54.995620Z

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Observation 954fec9f-28d8-4a07-9b66-99d905bbdfd3 · inbound

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models cites this paper.

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:29.226588Z

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Observation d04da25c-7ff2-495f-b7dc-e2895299ba7a · inbound

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs cites this paper.

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:11:15.537913Z

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