Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward | Paper Citation Record

Observation 4956b212-383f-4879-a6de-c4039a1d6f2f · outbound

This paper cites GPT-4 Technical Report.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.165678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e0345a-05c6-4dd6-9f27-b05b6d98d40a · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Training Diffusion Models with Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.254783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53ef57c1-d77f-42c6-9d61-cb2236dc3379 · outbound

This paper cites an unresolved cited work.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.260595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a93791-d50c-4285-9cee-48a4c7d2d15b · outbound

This paper cites Find: Fine- tuning initial noise distribution with policy optimization for diffusion models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Find: Fine- tuning initial noise distribution with policy optimization for diffusion models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.264757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 063509e9-44c3-4c28-9e40-c6c08a4b074d · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action dif- fusion.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Diffusion policy: Visuomotor policy learning via action dif- fusion

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.270609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a784ceb9-4a1a-4439-9f82-86125c1e4242 · outbound

This paper cites Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.276018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9c41bb-c5f3-43a0-bac4-4a9d78235435 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.281239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b116dddd-8813-4d67-950a-98999f5a3685 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Prdp: Proximal reward difference prediction for large-scale reward finetuning of diffusion models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.285877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac517b83-c32f-413f-a180-cb050211f455 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.340489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6334cba3-c85c-43e0-9acc-8226be16a26f · outbound

This paper cites Sigmoid- weighted linear units for neural network function approxima- tion in reinforcement learning.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Sigmoid- weighted linear units for neural network function approxima- tion in reinforcement learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.425048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc6cd460-0221-4b79-904b-ce95655e2ce3 · outbound

This paper cites Optimizing DDPM Sampling with Shortcut Fine-Tuning.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.430341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08a8f9e5-b91f-4ca4-b9b6-813c58c87cb3 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Dpok: Reinforcement learning for fine-tuning text-to-image diffu- sion models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.435441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ffd2d40-18c7-496a-a45b-9d4805ca6c59 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Re- inforcement learning for fine-tuning text-to-image diffusion models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.440234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c13d1e4a-0978-4357-9cea-4209d18f30d4 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.444599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb2a3cc9-bdf1-43e2-a0d2-b26849d51e96 · outbound

This paper cites Scaling laws for reward model overoptimization.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Scaling laws for reward model overoptimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.449419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f168b6-b1ef-42f5-8e7f-0620b8f304d5 · outbound

This paper cites Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:58:39.686805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37b759e8-fd66-4f24-91f1-77e73517f37f · outbound

This paper cites Jaddipal, Harish Prabhala, Sayak Paul, and Patrick V on Platen.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Jaddipal, Harish Prabhala, Sayak Paul, and Patrick V on Platen

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.498734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa30f412-c213-4817-ad9e-4387695947ad · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.544943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9cc2bb-282c-4362-8563-82a79859099e · outbound

This paper cites Denoising dif- fusion probabilistic models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Denoising dif- fusion probabilistic models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.573843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807388fc-c788-4a6a-b8c3-5edeaefc7d63 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Imagen Video: High Definition Video Generation with Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.577464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970fb646-cd2f-4464-991d-f502e130a120 · outbound

This paper cites Video dif- fusion models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Video dif- fusion models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.582096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d35f34fe-097d-462e-af24-155bc43b102f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.585864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3c9d5a-c480-49d6-8401-93bfda62b158 · outbound

This paper cites DiffTaichi: Differentiable Programming for Physical Simulation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward DiffTaichi: Differentiable Programming for Physical Simulation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.590791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c2fbee-8da1-49c6-8f14-3823f451c2b1 · outbound

This paper cites T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.174323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70dbd66f-473a-4e3b-bf99-3a13252ab521 · outbound

This paper cites PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.599067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f6d658b-eef8-416e-bbb6-1dae83dc9999 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Planning with Diffusion for Flexible Behavior Synthesis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.603470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c9eb66b-3a40-436a-a6f1-9068939ced38 · outbound

This paper cites Information-theoretic local minima characterization and regularization.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Information-theoretic local minima characterization and regularization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.154802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f12abb2-e6e3-49ec-9729-75ed3d84c804 · outbound

This paper cites Semantically robust unpaired image translation for data with unmatched seman- tics statistics.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Semantically robust unpaired image translation for data with unmatched seman- tics statistics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.079668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44def105-7c7f-453e-b089-2ac9bf6abd7c · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.063550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 54ec5eb8-ed05-4cfd-bef9-bbe3ad5d93d2 · outbound

This paper cites Actor-critic algorithms.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Actor-critic algorithms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.044781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26eca7f6-7cc3-4f95-8026-49c23f3786cc · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.743456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1219b57-2b0d-4b59-8ec6-774889cc45dc · outbound

This paper cites Plastic: Improving input and label plasticity for sample efficient reinforcement learning.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Plastic: Improving input and label plasticity for sample efficient reinforcement learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.948683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed217d12-bf78-42c3-8444-ca800a329ca1 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Aligning Text-to-Image Models using Human Feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.751775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 426e77d0-439d-4010-a3df-788bb5992f8b · outbound

This paper cites Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image genera- tion, 2024.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image genera- tion, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.756335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e952901-1710-4100-8cb8-c7fb0d04e1f6 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.928222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 833795ae-5fb0-4cce-b0a2-10acf5df95b5 · outbound

This paper cites Reward Guided Latent Consistency Distillation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Reward Guided Latent Consistency Distillation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.764278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69395d4b-3ae2-4f8f-8009-49bc795e32c9 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.860285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94da24d4-dcce-44aa-8fd0-74a001d3e454 · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.880626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12587c89-f915-47dd-ac5b-a89e8d3487ff · outbound

This paper cites Flow Matching for Generative Modeling.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Flow Matching for Generative Modeling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.885324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2cb3db2-d51c-4d46-afbd-935e7d0320cf · outbound

This paper cites AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.890049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c8a2b3-df27-4d2a-a253-fe2e6695f84f · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.894793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 893a082c-8042-4fcb-b202-2371cf8a315a · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.913563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52adc6f8-adda-49de-8ee4-42dd6a15c882 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.001579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22933794-341a-4fcb-a0b0-a6cc7baf5143 · outbound

This paper cites Llmscore: Unveiling the power of large language models in text-to-image synthesis evaluation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Llmscore: Unveiling the power of large language models in text-to-image synthesis evaluation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.819551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67dae9df-1169-4987-abbb-677a4c81486a · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.012133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55790ba6-705b-4cae-bdca-178e57af356e · outbound

This paper cites Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.016938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2114c3-789c-489d-9a83-280487036bac · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Playing Atari with Deep Reinforcement Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.021176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc0934f-7e35-46b6-a7a3-7fc7ada010c4 · outbound

This paper cites RL for Consistency Models: Faster Reward Guided Text-to-Image Generation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward RL for Consistency Models: Faster Reward Guided Text-to-Image Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.026333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b9d41a1-f757-4a60-a84a-8fa0cf4895b5 · outbound

This paper cites Reinforcement learning by reward-weighted regression for operational space control.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Reinforcement learning by reward-weighted regression for operational space control

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.805671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb00e920-4117-47c6-b4d9-4ab0d21b34bc · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.081157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2449c923-6564-4ff5-aba9-913a2621f1b0 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward DreamFusion: Text-to-3D using 2D Diffusion

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.125132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68159ef7-af13-4390-b128-ad85df3132b3 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.129779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f259d4-dd69-478b-a65e-3d8d5242cd90 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Learning transferable visual models from natural language supervi- sion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.793186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation db6d2560-42bb-4d7b-b08d-fba700087d6a · outbound

This paper cites Direct preference optimization: Your language model is secretly a 10 reward model.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Direct preference optimization: Your language model is secretly a 10 reward model

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.769901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 740b5d42-5f45-4e04-9d98-b7942b49e40f · outbound

This paper cites Zero-shot text-to-image generation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Zero-shot text-to-image generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.143088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116e231f-ab18-4281-b566-b42848688ee3 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.147785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84af830-1ccd-42b1-b4a1-78ea3bd01d05 · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.152052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f97ebbf-52cd-40c9-912d-d5bd3eeab4e8 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward High-resolution image synthesis with latent diffusion models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.156205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8138986-6bf7-4ab4-824d-6e294cf4f68f · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Photorealistic text-to-image diffusion models with deep language understanding

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.196095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1fe4571-3ae4-4759-82c0-3580cfde86f0 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Progressive Distillation for Fast Sampling of Diffusion Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.238991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 980a99a2-8562-4d42-a2bf-3f5a99c467aa · outbound

This paper cites Adversarial Diffusion Distillation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Adversarial Diffusion Distillation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.242470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08982988-cccc-4d77-b933-3f9c5fc5145f · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.247556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6623e559-72de-4988-8609-2a87407d092d · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.251197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36fd569-e27d-4fe6-b63a-699e9472fe01 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Proximal Policy Optimization Algorithms

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.255785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa9157f3-50dd-4f0b-be06-dde56a0dcffe · outbound

This paper cites Defining and characterizing reward gam- ing.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Defining and characterizing reward gam- ing

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.672194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9aa05414-3768-4d14-a3b0-7dbcf81345e0 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Deep unsupervised learning using nonequilibrium thermodynamics

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.583396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8605e395-a1dd-47d0-9ea7-f61f77fa2d01 · outbound

This paper cites Denoising Diffusion Implicit Models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Denoising Diffusion Implicit Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.328207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab735257-0d42-42a1-9901-6451a7269602 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Generative modeling by esti- mating gradients of the data distribution

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.334086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002e913c-ce96-4f55-8834-a5a1dbf00c85 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Score-Based Generative Modeling through Stochastic Differential Equations

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.338060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c766e8d-85f8-417c-98b8-21bd2df53122 · outbound

This paper cites Consistency Models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Consistency Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.342717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c638806f-4d08-43eb-8dad-f36c3ddba8c2 · outbound

This paper cites Learning to predict by the methods of temporal differences.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Learning to predict by the methods of temporal differences

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.513510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 865461fe-4248-4167-9106-cba6d4133969 · outbound

This paper cites Reinforcement learning: An introduction.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Reinforcement learning: An introduction

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.500839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b139d73-91ad-4186-808e-8078d7e0a4b4 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Policy gradient methods for reinforcement learning with function approximation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.438897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6119596e-7044-47ad-96c7-16f6026bfc4c · outbound

This paper cites Evalalign: Supervised fine- tuning multimodal llms with human-aligned data for evalu- ating text-to-image models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Evalalign: Supervised fine- tuning multimodal llms with human-aligned data for evalu- ating text-to-image models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.377421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d12d40f-703f-492b-b32d-5c528e7b1993 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.494080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efbe9370-c42f-40eb-9a2c-c4c4aef6c2b8 · outbound

This paper cites Diffusion model align- ment using direct preference optimization.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Diffusion model align- ment using direct preference optimization

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.304331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63f6d466-fee8-4295-9b02-48f90abdf1fe · outbound

This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.669172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b71460-13dd-45a0-8353-38374dca330c · outbound

This paper cites Q-learning.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Q-learning

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.287884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 23d2f4da-3bfe-4bab-86d1-dc457a15ee92 · outbound

This paper cites Human Preference Score: Better Aligning Text-to-Image Models with Human Preference.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Human Preference Score: Better Aligning Text-to-Image Models with Human Preference

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.679787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ac4e93-5edc-4d61-b771-01cc32bbd108 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Human preference score: Better aligning text- to-image models with human preference

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.242627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5307d521-1177-4f78-9caf-38f6c701cc11 · outbound

This paper cites Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.749807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db15eef3-f273-453d-8e5f-b9c4f2b97d82 · outbound

This paper cites Group normalization.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Group normalization

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.765301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df6f2117-8297-4a6c-8d00-aa36262364f2 · outbound

This paper cites Florence-2: Advancing a unified representation for a variety 11 of vision tasks.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Florence-2: Advancing a unified representation for a variety 11 of vision tasks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.177810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a9a38e18-66b3-494c-95d4-5496f81f5525 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.113535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f3520083-701d-46da-bfa3-fc2aae3aa855 · outbound

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

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Using human feedback to fine-tune diffusion models without any reward model

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.098996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 249e130b-fb6d-4d7a-9c99-f83594cd159c · outbound

This paper cites LION: Latent Point Diffusion Models for 3D Shape Generation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward LION: Latent Point Diffusion Models for 3D Shape Generation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.838499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98d14ea4-6a43-473b-b6c7-a6bdf01c18dc · outbound

This paper cites UniFL: Improve Latent Diffusion Model via Unified Feedback Learning.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward UniFL: Improve Latent Diffusion Model via Unified Feedback Learning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.963875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e3d646-eca1-4992-9bad-a0a625236a02 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward BERTScore: Evaluating Text Generation with BERT

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.969899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f633b17b-17db-446c-acbf-441bcae44a79 · outbound

This paper cites an unresolved cited work.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:58:40.026129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fab0be03-741d-4961-a996-eb993af0463f · outbound

This paper cites an unresolved cited work.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:58:39.959550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6aed4586-243c-4a3e-8458-e75abd49783c · outbound

This paper cites Specifically, we use the CLIP-ViT-L/14 from the original CLIP paper and a similar BLIP model fine-tuned for VQA tasks (ViT-L for the vision backbone).

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Specifically, we use the CLIP-ViT-L/14 from the original CLIP paper and a similar BLIP model fine-tuned for VQA tasks (ViT-L for the vision backbone)

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:39.906904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f866bc04-e632-4dd5-85a4-f3710fb780c6 · outbound

This paper cites Note that, SDXL-Turbo mainly focuses on image generation of 5122 pixels and SDXL-Lightning only supports≥ 2 step generation.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Note that, SDXL-Turbo mainly focuses on image generation of 5122 pixels and SDXL-Lightning only supports≥ 2 step generation

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:39.799251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers