Paper Citation Record · LEDGER

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation

As of 19 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2411.14871.

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

pith.paper-citation-record.v1
2411.14871 v3

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:54:02.564230Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:18:46.456767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:23:50.834907Z

Reference resolution

64 of 64 outbound references displayed

verified exact0
verified fuzzy49
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22725af1-acb7-4d2d-a6fd-c89201d470d2 · outbound

This paper cites Direct preference optimization with an offset.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Direct preference optimization with an offset

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.361116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 758c0570-25e7-4605-b00b-594ec78088a3 · outbound

This paper cites A general theoretical paradigm to understand learning from human prefer- ences.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation A general theoretical paradigm to understand learning from human prefer- ences

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.349920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 782e039f-5c30-418e-8e6a-d57dbd4ec1ab · outbound

This paper cites Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.336960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b999349-b618-4dcf-aa84-00c42f6e70ad · outbound

This paper cites Training diffusion models with reinforcement learning.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Training diffusion models with reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.337692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2d26ae7-6a78-43e0-9af1-c9c96ac649ba · outbound

This paper cites Align your latents: High-resolution video syn- thesis with latent diffusion models.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Align your latents: High-resolution video syn- thesis with latent diffusion models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.327456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b024a3bf-2de2-4a2f-a352-6998ee14252e · outbound

This paper cites Kwok, Ping Luo, Huchuan Lu, and Zhenguo Li.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Kwok, Ping Luo, Huchuan Lu, and Zhenguo Li

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.316856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 977027d9-7eb1-4016-957b-b518703b7e01 · outbound

This paper cites Self-play fine-tuning converts weak language models to strong language models.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Self-play fine-tuning converts weak language models to strong language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.306807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bac95065-43eb-497d-8324-21ca538c3fcd · outbound

This paper cites Christiano, Jan Leike, Tom B.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Christiano, Jan Leike, Tom B

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.296275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ec493cb-2a78-4ba7-b681-a34471d88dec · outbound

This paper cites Diffu- sion models beat gans on image synthesis.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Diffu- sion models beat gans on image synthesis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.284796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f928534c-1c43-4ec2-864a-e6c50512e18e · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Scaling rectified flow transformers for high- resolution image synthesis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.273670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36ffea07-be43-4871-96e4-e8a918ea1218 · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation KTO: Model Alignment as Prospect Theoretic Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.368175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf4ed89-55b6-4bb7-ae79-6042745a5556 · outbound

This paper cites DPOK: reinforcement learning for fine-tuning text-to-image diffusion models.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation DPOK: reinforcement learning for fine-tuning text-to-image diffusion models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.262275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4dd6b9a1-9c3f-448c-b2d1-a494f4c22d5f · outbound

This paper cites Scaling laws for reward model overoptimization.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Scaling laws for reward model overoptimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.250381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f405a09f-a8b8-4f0c-b4f1-24aedc49ec4e · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.239054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5386393-9f77-45d0-a062-e91a442a7eaa · outbound

This paper cites Brandt, and Tomer Michaeli.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Brandt, and Tomer Michaeli

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.225438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fd283bb-8947-4ec0-a147-71c10288706d · outbound

This paper cites Denoising diffusion probabilistic models.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Denoising diffusion probabilistic models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.212698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ed99fb3-f4b9-4cb6-b824-6b90756f9817 · outbound

This paper cites Estimation of non-normalized statis- tical models by score matching.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Estimation of non-normalized statis- tical models by score matching

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.201515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 056ea50f-2def-42a5-b416-ba63338c3fbf · outbound

This paper cites Reward learning from human preferences and demonstrations in atari.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Reward learning from human preferences and demonstrations in atari

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.190321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7cde6093-e2e3-4bba-999e-833d799616a2 · outbound

This paper cites Ryzhakov, Andrei Chertkov, and Ivan V.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Ryzhakov, Andrei Chertkov, and Ivan V

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.178944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aecd68b4-bbf9-4011-8345-bf2be980306c · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.167644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3832647f-04d5-48aa-aa2f-e45e5d773dd8 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.155479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b884d6d8-9432-4400-bca9-162639bd102b · outbound

This paper cites Bradley Knox and Peter Stone.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Bradley Knox and Peter Stone

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.144654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 590c7101-782e-441d-a9f4-6deb5e9fec30 · outbound

This paper cites Dif- fusion models already have A semantic latent space.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Dif- fusion models already have A semantic latent space

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.133590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b436b6c6-7288-4fef-ba06-b6de3f4005e6 · outbound

This paper cites Aligning Diffusion Models by Optimizing Human Utility.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Aligning Diffusion Models by Optimizing Human Utility

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.415254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77e5e8a-10a2-4e8d-ad7e-01794de62aae · outbound

This paper cites Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.419272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c60fc4c-8778-483e-bb79-a872fd7fb5c3 · outbound

This paper cites Let’s verify step by step.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Let’s verify step by step

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.123512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78f53924-dca5-4739-b167-d2751c617350 · outbound

This paper cites Lillicrap, Jonathan J.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Lillicrap, Jonathan J

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.113164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77126f30-7f1f-424c-8a20-51262ab6e257 · outbound

This paper cites Alignment of diffusion models: Fun- damentals, challenges, and future.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Alignment of diffusion models: Fun- damentals, challenges, and future

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.430101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb3b29a4-363d-41e5-a3be-f53fd5a16684 · outbound

This paper cites Interpretation and generalization of score matching.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Interpretation and generalization of score matching

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.101748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e39b0d5b-9dfe-46f8-9c06-104af849cfbf · outbound

This paper cites Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.090375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e95140c4-4e3a-4518-8ae4-c28102384ea7 · outbound

This paper cites Simpo: Simple preference optimization with a reference-free reward.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Simpo: Simple preference optimization with a reference-free reward

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.078511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 200028e2-5bd6-4e26-bcfc-ac7eedcff526 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Playing Atari with Deep Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.444437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca13e3af-9670-479c-9189-6df280cc26ba · outbound

This paper cites Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.066456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45738fa3-cb80-498a-9e4b-6e39974ca1fc · outbound

This paper cites an unresolved cited work.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:54:03.054846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26eb8468-259e-4d7e-9703-d63950bece0a · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.456141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd834621-b559-4394-b718-9ad409ca307c · outbound

This paper cites Learning transferable visual models from natural language supervision.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Learning transferable visual models from natural language supervision

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.042107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c30638c4-523f-41f1-b562-b0ab06fb12a4 · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Manning, Stefano Ermon, and Chelsea Finn

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.030862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9087a192-90d2-47f3-8c34-8827eff92f0f · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation High-resolution image synthesis with latent diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.019811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62b9beb5-4704-4174-b168-8ce82ef453e4 · outbound

This paper cites Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.471071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f3d85d-3c8b-4930-b489-719eb29f2f50 · outbound

This paper cites Jordan, and Philipp Moritz.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Jordan, and Philipp Moritz

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:03.007942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea3662ea-bf7e-4387-9349-092eefed81cc · outbound

This paper cites Proximal Policy Optimization Algorithms.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Proximal Policy Optimization Algorithms

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.479171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a1d783-c4c5-4063-be56-8316d973431f · outbound

This paper cites Denoising diffusion models on model-based latent space.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Denoising diffusion models on model-based latent space

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.997501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65bb36dc-fe03-4a92-b4c8-cc40f26a37e0 · outbound

This paper cites Riedmiller.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Riedmiller

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.985577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3d2bf19-de5e-4fd2-bc05-c103e2f9413d · outbound

This paper cites Weiss, Niru Mah- eswaranathan, and Surya Ganguli.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Weiss, Niru Mah- eswaranathan, and Surya Ganguli

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.974017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbf00f3e-f92a-4071-b3ad-45c6f05b7845 · outbound

This paper cites Prefer- ence ranking optimization for human alignment.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Prefer- ence ranking optimization for human alignment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.960541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74007324-9572-4c4a-a723-9014230ea04b · outbound

This paper cites De- noising diffusion implicit models.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation De- noising diffusion implicit models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.949774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 699b4337-a8ff-4baf-a400-5005f27dd5da · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.939942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e71875a0-0ec2-4b2c-b1c2-4c31cca034d3 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul F.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul F

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.929645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f894b4a-0b23-46ff-80dc-3688956261a3 · outbound

This paper cites Sutton and Andrew G.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Sutton and Andrew G

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.918825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0ffe050-9b4a-4c6f-8e4d-36a5a2812329 · outbound

This paper cites A connection between score matching and denoising autoencoders.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation A connection between score matching and denoising autoencoders

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.907950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00ec18d6-3d41-43a9-ba98-3860f67799ff · outbound

This paper cites Diffusion model alignment using direct preference op- timization.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Diffusion model alignment using direct preference op- timization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.897621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43d4b163-c4ba-45ed-beb8-06a5d4369a6a · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Aligning Large Language Models with Human: A Survey

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.519982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8a6af0c-b7eb-4f3c-9282-bd5bd90e023e · outbound

This paper cites Dueling network architectures for deep reinforcement learning.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Dueling network architectures for deep reinforcement learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.886959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fae401ae-e706-462a-83c9-3e53b52aba3a · outbound

This paper cites Waytowich, Vernon Lawh- ern, and Peter Stone.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Waytowich, Vernon Lawh- ern, and Peter Stone

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.875924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17af7ddc-68cc-48ca-a6e1-43804bed4ab4 · outbound

This paper cites β-dpo: Direct preference optimization with dynamic β.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation β-dpo: Direct preference optimization with dynamic β

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.864885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed101848-77b0-44db-a3fb-01f7ef36eb0c · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.534776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cef9c92-4497-4018-9253-8d9bfb2eb68d · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Using human feedback to fine-tune diffusion models without any reward model

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.853808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53cef9b3-aff9-4609-86b0-0d88016a0b12 · outbound

This paper cites Diffusion models: A comprehen- sive survey of methods and applications.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Diffusion models: A comprehen- sive survey of methods and applications

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.841657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b9fbbf3-1f98-450b-9fd6-2178a3f15a72 · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation A dense reward view on aligning text-to-image diffusion with preference

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.830317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2b5b6be-1713-44b7-9968-af7c7e415bc3 · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.549137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38561138-6703-4579-9d18-eb5170f7a1ef · outbound

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

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Fine-Tuning Language Models from Human Preferences

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.552889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22bceab4-0537-47e5-bb51-3cae2fefbeb1 · outbound

This paper cites Derivation of the Loss Function Defined in Eq.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Derivation of the Loss Function Defined in Eq

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.819504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 584f6e90-b1a3-4f74-a811-2ac38b14fd7e · outbound

This paper cites an unresolved cited work.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:54:02.807475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation edc19149-b908-4958-8d5d-9ec5f162aea6 · outbound

This paper cites Implementation Details We employ a constant learning rate with a warm-up sched- ule, finalizing at 2.05 × 10−5.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Implementation Details We employ a constant learning rate with a warm-up sched- ule, finalizing at 2.05 × 10−5

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:54:02.795707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 129b5c4a-d693-4153-bdd2-f3a363f0aa61 · inbound

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

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:11:15.491627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 794a93ca-94ab-4678-b4fc-017d4e8955e6 · inbound

Explicit Critic Guidance for Aligning Diffusion Models cites this paper.

Explicit Critic Guidance for Aligning Diffusion Models Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:50.836500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.