Paper Citation Record · LEDGER

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing

As of 21 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 3 inbound Pith citation observations for arXiv:2502.07829.

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

pith.paper-citation-record.v1
2502.07829 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:05:06.657362Z

measured 85 of 85 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:42.075088Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:36:26.425440Z

Reference resolution

82 of 82 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5c54f6e-0e05-47f8-8407-6d3793cdc273 · outbound

This paper cites Gpt-4 technical report.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Gpt-4 technical report

Reference 1

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Source-reported events for the cited work

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Observation d564eb03-d878-4e15-9c25-0428f62dccd7 · outbound

This paper cites Gflownet foundations.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Gflownet foundations

Reference 2

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Source-reported events for the cited work

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Observation 7e7a129d-edf6-4e24-9d46-bb773e259aaa · outbound

This paper cites Training diffusion models with reinforcement learning.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Training diffusion models with reinforcement learning

Reference 3

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Observation 90b62637-ea82-47c9-815d-23b150e62aa0 · outbound

This paper cites Sheng, and et al.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Sheng, and et al

Reference 4

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Observation 731478f7-67d2-41d2-b281-53dcbb577fc2 · outbound

This paper cites Drivinggpt: Unifying driving world modeling and planning with multi-modal autoregressive transformers.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Drivinggpt: Unifying driving world modeling and planning with multi-modal autoregressive transformers

Reference 5

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Observation 2529b83f-c0f0-4a6e-a0a5-151859c426a6 · outbound

This paper cites Deep reinforcement learning from human preferences.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Deep reinforcement learning from human preferences

Reference 6

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Source-reported events for the cited work

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Observation 225259be-b0e0-499a-a46e-55a5ae6934cd · outbound

This paper cites Directly fine-tuning diffusion models on differentiable rewards.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Directly fine-tuning diffusion models on differentiable rewards

Reference 7

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Observation 32eeb8d6-3c39-4ffe-be8f-0b2a4ce909d0 · outbound

This paper cites On differentially private 3d medical image synthesis with controllable latent diffusion models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing On differentially private 3d medical image synthesis with controllable latent diffusion models

Reference 8

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Observation 195e6d64-8b2c-4947-b8ca-e50149466377 · outbound

This paper cites Prdp: Proximal reward difference prediction for large-scale reward finetuning of diffusion models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Prdp: Proximal reward difference prediction for large-scale reward finetuning of diffusion models

Reference 9

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Observation 25225b8b-277f-476d-8518-e42bae575ee1 · outbound

This paper cites Aligndiff: Aligning diverse human preferences via behavior-customisable diffusion model.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Aligndiff: Aligning diverse human preferences via behavior-customisable diffusion model

Reference 10

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Observation 71382614-84db-411b-9336-27b477a28410 · outbound

This paper cites Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization

Reference 11

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Source-reported events for the cited work

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Observation 412711ec-f980-4860-984b-d6d04957e40b · outbound

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

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Reinforcement learning for fine-tuning text-to-image diffusion models

Reference 12

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Observation f0615a3f-456f-453b-aafe-3ebcaedb9b52 · outbound

This paper cites A survey of world models for autonomous driving.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing A survey of world models for autonomous driving

Reference 13

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Observation 56cb77a5-37b5-48b9-bad6-e51fd7bc8bc7 · outbound

This paper cites Can pre-trained text-to-image models generate visual goals for reinforcement learning? Neurips , 2023.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Can pre-trained text-to-image models generate visual goals for reinforcement learning? Neurips , 2023

Reference 14

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Observation fbdc95bb-7f10-48cf-909f-bbc67905fe6c · outbound

This paper cites World models for autonomous driving: An initial survey.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing World models for autonomous driving: An initial survey

Reference 15

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Observation 1da53522-caf8-4069-848b-6c6bbe936f00 · outbound

This paper cites Versat2i: Improving text-to-image models with versatile reward.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Versat2i: Improving text-to-image models with versatile reward

Reference 16

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Source-reported events for the cited work

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Observation 98336724-377c-43a2-9c18-0b01ed08d5e1 · outbound

This paper cites Advancing text-driven chest x-ray generation with policy-based reinforcement learning.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Advancing text-driven chest x-ray generation with policy-based reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.673528Z

Source-reported events for the cited work

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Observation b7ab1461-b963-478c-acd0-7ce382bda1fb · outbound

This paper cites Learning profitable nft image diffusions via multiple visual-policy guided reinforcement learning.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Learning profitable nft image diffusions via multiple visual-policy guided reinforcement learning

Reference 18

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Observation a67ea632-d9c5-4718-a21b-c49cb3c214c7 · outbound

This paper cites Denoising diffusion probabilistic models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Denoising diffusion probabilistic models

Reference 19

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Observation cf8a7940-8130-4ec9-9361-968c859c8e71 · outbound

This paper cites Diffusion model-based image editing: A survey.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Diffusion model-based image editing: A survey

Reference 20

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Observation 10406fde-2ed9-4d29-8246-7d5228c82576 · outbound

This paper cites Gen-drive: Enhancing diffusion generative driving policies with reward modeling and reinforcement learning fine-tuning.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Gen-drive: Enhancing diffusion generative driving policies with reward modeling and reinforcement learning fine-tuning

Reference 21

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 607925df-17e0-4047-acd0-848322b17156 · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Planning with diffusion for flexible behavior synthesis

Reference 22

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Observation ec0a6843-f183-4b8a-b08e-cbc6f1bd0159 · outbound

This paper cites A theory of continuous generative flow networks.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing A theory of continuous generative flow networks

Reference 23

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Observation 25573ed4-0d71-44f9-b76c-c70554614a30 · outbound

This paper cites Aligning text-to-image models using human feedback.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Aligning text-to-image models using human feedback

Reference 24

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Observation a2005368-d309-4142-be30-0af07c86f998 · outbound

This paper cites Parrot: Pareto-optimal multi-reward reinforcement learning framework for text-to-image generation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Parrot: Pareto-optimal multi-reward reinforcement learning framework for text-to-image generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.553865Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12c7cdb7-d7c0-4b66-9811-b8d70a969523 · outbound

This paper cites Drivingdiffusion: Layout-guided multi-view driving scene video generation with latent diffusion model.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Drivingdiffusion: Layout-guided multi-view driving scene video generation with latent diffusion model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.539304Z

Source-reported events for the cited work

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Observation 3b5f23a7-bc8f-4829-876c-344d64f39b6f · outbound

This paper cites Aligning diffusion models by optimizing human utility.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Aligning diffusion models by optimizing human utility

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.524733Z

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Observation 9ceeafb8-4c4e-4c5d-b2b0-f9d1c2095451 · outbound

This paper cites Instructrl4pix: Training diffusion for image editing by reinforcement learning.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Instructrl4pix: Training diffusion for image editing by reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.509104Z

Source-reported events for the cited work

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Observation 83d31a28-9921-4ea1-b416-41a75b74748a · outbound

This paper cites Textcraftor: Your text encoder can be image quality controller.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Textcraftor: Your text encoder can be image quality controller

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.494645Z

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Observation d35a84c4-001a-419d-b40d-c8d3a8bcf5b7 · outbound

This paper cites Rich human feedback for text-to-image generation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Rich human feedback for text-to-image generation

Reference 30

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Observation 6bd7d5b8-ae0c-4df6-887b-3b49ca122cdb · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 31

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Source-reported events for the cited work

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Observation 274e4549-8fda-4b9a-8298-1d124c69d160 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Magic3d: High-resolution text-to-3d content creation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.448767Z

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Observation 9c06f95c-f6c8-46db-b488-f4e86251a36a · outbound

This paper cites Ddm-lag: A diffusion-based decision-making model for autonomous vehicles with lagrangian safety enhancement.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Ddm-lag: A diffusion-based decision-making model for autonomous vehicles with lagrangian safety enhancement

Reference 33

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Observation 986c406a-7e16-460a-acd8-fd2ab48b3532 · outbound

This paper cites Rdt-1b: a diffusion foundation model for bimanual manipulation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Rdt-1b: a diffusion foundation model for bimanual manipulation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.420014Z

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Observation c0335251-ed7b-4795-a97f-2b060aae0b39 · outbound

This paper cites Improving text-to-image consistency via automatic prompt optimization.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Improving text-to-image consistency via automatic prompt optimization

Reference 35

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Observation 57027566-1ac0-4762-863d-801295ccb17e · outbound

This paper cites Promptable game models: Text-guided game simulation via masked diffusion models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Promptable game models: Text-guided game simulation via masked diffusion models

Reference 36

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Observation de3069e5-a68a-4498-b16c-cd9992c2e0ab · outbound

This paper cites Training diffusion models towards diverse image generation with rl.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Training diffusion models towards diverse image generation with rl

Reference 37

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Observation 6595ed8e-4351-415f-81ca-22f8a3988b36 · outbound

This paper cites Dynamic prompt optimizing for text-to-image generation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Dynamic prompt optimizing for text-to-image generation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.363448Z

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Observation 96e72e9c-24f5-4061-857b-959a15f0beef · outbound

This paper cites Rl for consistency models: Reward guided text-to-image generation with fast inference.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Rl for consistency models: Reward guided text-to-image generation with fast inference

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.348732Z

Source-reported events for the cited work

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Observation 7ab8fd94-240a-4fa1-968f-a76363aed9d4 · outbound

This paper cites Optimizing negative prompts for enhanced aesthetics and fidelity in text-to-image generation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Optimizing negative prompts for enhanced aesthetics and fidelity in text-to-image generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.334144Z

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Observation d82d8202-c731-4175-a8b4-d41b983d9eee · outbound

This paper cites Aligning text-to-image diffusion models with reward backpropagation, 2024.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Aligning text-to-image diffusion models with reward backpropagation, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.318128Z

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Observation 117ce508-c861-45d1-a418-47283687fbc1 · outbound

This paper cites Utilizing generative ai for vr exploration testing: A case study.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Utilizing generative ai for vr exploration testing: A case study

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.302952Z

Source-reported events for the cited work

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Observation de7c7f8a-71d9-48ec-9231-0fe558a7fa33 · outbound

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

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Direct preference optimization: Your language model is secretly a reward model

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.287856Z

Source-reported events for the cited work

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Observation db1a98a6-5792-43e4-bc15-5d222df8fe67 · outbound

This paper cites Ambiguous medical image segmentation using diffusion models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Ambiguous medical image segmentation using diffusion models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.272811Z

Source-reported events for the cited work

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Observation 51f1d252-e11d-4b59-9db5-b8b167f1b02f · outbound

This paper cites Hierarchical text-conditional image generation with clip latents.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Hierarchical text-conditional image generation with clip latents

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.256559Z

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.

Observation 91a5b6ca-f6ed-4393-88d2-d8ff3ba4745e · outbound

This paper cites Refining alignment framework for diffusion models with intermediate-step preference ranking.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Refining alignment framework for diffusion models with intermediate-step preference ranking

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.242212Z

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.

Observation 3b6cea2a-31eb-4417-b851-9df2eb1b4a4f · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Photorealistic text-to-image diffusion models with deep language understanding

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.228632Z

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.

Observation 40b56b29-b639-41a7-8acc-5286a8998c54 · outbound

This paper cites High-dimensional continuous control using generalized advantage estimation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing High-dimensional continuous control using generalized advantage estimation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.214949Z

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.

Observation 16816cfe-31f9-4939-a33a-1f674f2da3ad · outbound

This paper cites Proximal policy optimization algorithms.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Proximal policy optimization algorithms

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.199729Z

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.

Observation 3edee188-31dc-461b-bf30-7defda6a77c2 · outbound

This paper cites Denoising diffusion implicit models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Denoising diffusion implicit models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.184624Z

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.

Observation 5e182c9c-54cd-40ce-bcfd-ac1c8ca7fd64 · outbound

This paper cites Fine-tuning of continuous-time diffusion models as entropy-regularized control.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Fine-tuning of continuous-time diffusion models as entropy-regularized control

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.169987Z

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Observation e6529dad-4fb7-4820-a199-c1630be7dfee · outbound

This paper cites Understanding reinforcement learning-based fine-tuning of diffusion models: A tutorial and review.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Understanding reinforcement learning-based fine-tuning of diffusion models: A tutorial and review

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.155246Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b415bf7e-406d-49ce-ac3f-f1160be40b0d · outbound

This paper cites Diffusion model alignment using direct preference optimization.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Diffusion model alignment using direct preference optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.140414Z

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.

Observation 9cf2fc5a-09a9-4236-b58f-19ec4d0670cd · outbound

This paper cites Diffusebot: Breeding soft robots with physics-augmented generative diffusion models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Diffusebot: Breeding soft robots with physics-augmented generative diffusion models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.126557Z

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.

Observation bd0bcd09-12b1-4433-92ce-96c12c0a05ec · outbound

This paper cites Diffchat: Learning to chat with text-to-image synthesis models for interactive image creation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Diffchat: Learning to chat with text-to-image synthesis models for interactive image creation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.111166Z

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.

Observation e5580e84-5161-40a8-a9bc-3f51c53c68b1 · outbound

This paper cites Sparse diffusion policy: A sparse, reusable, and flexible policy for robot learning.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Sparse diffusion policy: A sparse, reusable, and flexible policy for robot learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.096695Z

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.

Observation 6199c7f0-fe1f-448b-8419-18cdc7ba3f16 · outbound

This paper cites Panacea: Panoramic and controllable video generation for autonomous driving.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Panacea: Panoramic and controllable video generation for autonomous driving

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.082872Z

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.

Observation 5232448c-7452-4412-a432-86751ec01636 · outbound

This paper cites Improving compositional text-to-image generation with large vision-language models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Improving compositional text-to-image generation with large vision-language models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.068124Z

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.

Observation 9520edbb-f173-4958-9ed0-3f63fcaeae8e · outbound

This paper cites Preference tuning with human feedback on language, speech, and vision tasks: A survey.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Preference tuning with human feedback on language, speech, and vision tasks: A survey

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.052891Z

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.

Observation 34acfd8f-b2a3-48cc-87fb-1c71ae8273fd · outbound

This paper cites Medsegdiff: Medical image segmentation with diffusion probabilistic model.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Medsegdiff: Medical image segmentation with diffusion probabilistic model

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.038374Z

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.

Observation 940495cc-dc82-46da-abe6-c97522450897 · outbound

This paper cites Medsegdiff-v2: Diffusion-based medical image segmentation with transformer.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Medsegdiff-v2: Diffusion-based medical image segmentation with transformer

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.024212Z

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.

Observation fc878867-9ca8-4a23-a8cc-ccc669d9b00b · outbound

This paper cites Human preference score: Better aligning text-to-image models with human preference.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Human preference score: Better aligning text-to-image models with human preference

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:07.009606Z

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.

Observation 7691c93f-2753-4f77-869d-32051b1ca29a · outbound

This paper cites Protein structure generation via folding diffusion.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Protein structure generation via folding diffusion

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.995194Z

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.

Observation eb65684b-11cc-480f-a603-764865cf280c · outbound

This paper cites Deep reward supervisions for tuning text-to-image diffusion models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Deep reward supervisions for tuning text-to-image diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.979815Z

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.

Observation d9c3686c-3b8f-4e12-901d-32f474e180a6 · outbound

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

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Measurement-conditioned denoising diffusion probabilistic model for under-sampled medical image reconstruction

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.963036Z

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.

Observation c5138aca-59ab-42ef-89e2-30bda9825a30 · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.948325Z

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.

Observation c5ae2176-05b5-4461-933a-835a5e672222 · outbound

This paper cites Using human feedback to fine-tune diffusion models without any reward model.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Using human feedback to fine-tune diffusion models without any reward model

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.933547Z

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.

Observation 151c17e2-4a1b-46d1-b7d1-550b89fb8d78 · outbound

This paper cites Learning interactive real-world simulators.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Learning interactive real-world simulators

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.918177Z

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.

Observation 41587aa3-1aa2-42ab-b725-d3c2b5d0d303 · outbound

This paper cites Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.902652Z

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.

Observation eee61959-f5cd-4657-b3d8-33cb9d8b369a · outbound

This paper cites A dense reward view on aligning text-to-image diffusion with preference.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing A dense reward view on aligning text-to-image diffusion with preference

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.887092Z

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.

Observation 0d57f3fc-6076-46d3-9965-4fec847ead25 · outbound

This paper cites Ipo: Iterative preference optimization for text-to-video generation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Ipo: Iterative preference optimization for text-to-video generation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.871536Z

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.

Observation 61a5a42d-dd38-455f-a231-b5636f18f994 · outbound

This paper cites Regularized conditional diffusion model for multi-task preference alignment.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Regularized conditional diffusion model for multi-task preference alignment

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.855650Z

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.

Observation c4197ad8-451c-43b2-8408-4b03548cdd12 · outbound

This paper cites Self-play fine-tuning of diffusion models for text-to-image generation.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Self-play fine-tuning of diffusion models for text-to-image generation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.840011Z

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.

Observation dbf01e66-3102-415f-aea7-9c03ba39aa82 · outbound

This paper cites Preference aligned diffusion planner for quadrupedal locomotion control.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Preference aligned diffusion planner for quadrupedal locomotion control

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.824034Z

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.

Observation 000eb5c4-1494-480b-ae46-d1383258ba6d · outbound

This paper cites Unifying generative models with gflownets and beyond.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Unifying generative models with gflownets and beyond

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.808530Z

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.

Observation 626dacd5-39b2-4a0c-ad80-2bb987c67cf7 · outbound

This paper cites Text-to-image diffusion models in generative AI: A survey.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Text-to-image diffusion models in generative AI: A survey

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.792302Z

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.

Observation 1e2dcfe9-c15b-42e3-a969-6d4f746fa4cd · outbound

This paper cites Improving gflownets for text-to-image diffusion alignment.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Improving gflownets for text-to-image diffusion alignment

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.775873Z

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.

Observation 0343b017-e8fc-4756-90c5-70de898316e8 · outbound

This paper cites Onlinevpo: Align video diffusion model with online video-centric preference optimization.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Onlinevpo: Align video diffusion model with online video-centric preference optimization

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.760272Z

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.

Observation 1f8f53ff-fdc9-464c-bff0-0139b79db40f · outbound

This paper cites Hive: Harnessing human feedback for instructional visual editing.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Hive: Harnessing human feedback for instructional visual editing

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.744288Z

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.

Observation f1c9f7d6-6fa0-4651-8ca6-c45277c13f75 · outbound

This paper cites Large-scale reinforcement learning for diffusion models.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing Large-scale reinforcement learning for diffusion models

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.728645Z

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.

Observation 985b9447-961c-4ea0-ba01-babd0043ad94 · outbound

This paper cites A survey on generative ai and llm for video generation, understanding, and streaming.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing A survey on generative ai and llm for video generation, understanding, and streaming

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:05:06.710976Z

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.

Observation 3c4e6c9f-5e24-4b23-9d82-ec162090f77e · outbound

This paper cites write newline.

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing write newline

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-08T14:05:06.657362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cc03890c-d637-4de9-869d-5b6a16afdb0f · inbound

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion cites this paper.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:42.075088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32d965d-a825-4a23-a6c8-4c34dffa7f8e · inbound

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems cites this paper.

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing

Reference 200

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:51:40.769034Z

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.

Observation 7a140f76-1943-4d00-a2e4-8c9ad992feda · inbound

Follow-Your-Preference++: Rethinking Preference Alignment for Image Inpainting cites this paper.

Follow-Your-Preference++: Rethinking Preference Alignment for Image Inpainting Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:26.427693Z

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.