Paper Citation Record · LEDGER

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning

As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 4 inbound Pith citation observations for arXiv:2505.19196.

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

pith.paper-citation-record.v1
2505.19196 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:26.232105Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:33.490433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:03:13.983158Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy34
unresolved23
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a59cfb8-d6c1-4a4a-98d1-7b9a0c718506 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.824017Z

Source-reported events for the cited work

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Observation b9b42b1d-c934-4fe3-a11f-9245bc2f86dc · outbound

This paper cites Denoising diffusion probabilistic models,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Denoising diffusion probabilistic models,

Reference 2

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Source-reported events for the cited work

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Observation f9f7afaf-0e9b-44a9-8d97-aa9f714e2f5e · outbound

This paper cites Denoising Diffusion Implicit Models.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Denoising Diffusion Implicit Models

Reference 3

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Observation 616f4244-65ae-41b0-af70-5fc41b127016 · outbound

This paper cites Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think

Reference 4

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Observation c9ba1b6e-ed7a-4f4a-8446-0f66494ba7c5 · outbound

This paper cites Generative Adversarial Networks.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Generative Adversarial Networks

Reference 5

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Source-reported events for the cited work

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Observation 36fc2aa5-ff92-4347-bb87-46614c818290 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Learning transferable visual models from natural language supervision,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.808598Z

Source-reported events for the cited work

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Observation a8cf128a-03e1-4295-ba87-01beadc4c0b3 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.797986Z

Source-reported events for the cited work

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Observation c2c730e0-bca1-4d26-9780-15e0f95475fe · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.788543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31e3e112-8969-48c6-af7e-3303037df51c · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Microsoft COCO: Common Objects in Context

Reference 9

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Source-reported events for the cited work

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Observation 5035b145-6b7c-4329-8388-b38f41b8f4b9 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Imagenet: A large-scale hierarchical image database,

Reference 10

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Source-reported events for the cited work

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Observation f5969777-9350-40a4-a3bd-dc39466c7730 · outbound

This paper cites High-resolution image synthe- sis with latent diffusion models,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning High-resolution image synthe- sis with latent diffusion models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.773507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54a42102-2d77-47b5-891a-c44c17bdd6c9 · outbound

This paper cites Improving image generation with better captions,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Improving image generation with better captions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.764568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7a42b79-f648-40cd-9bd7-d5abb12dc7c7 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Laion-5b: An open large-scale dataset for training next generation image-text models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.756226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73f0cfd5-16ce-492f-b66b-8a3922494028 · outbound

This paper cites Training-free structured diffusion guidance for compositional text-to-image synthesis,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Training-free structured diffusion guidance for compositional text-to-image synthesis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.746068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac972a64-6cde-41a2-b6f0-db927337c602 · outbound

This paper cites TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

Reference 15

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Source-reported events for the cited work

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Observation 83dfc91e-b25e-4b5a-997d-134f4b12d7c2 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 16

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Source-reported events for the cited work

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Observation d9ec2f17-2af9-4049-87ef-f4529c2dd380 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Imagereward: learning and evaluating human preferences for text-to-image generation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.737462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4ae061a-1de1-4a54-b92f-fc9145c7f647 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Pick-a-pic: an open dataset of user preferences for text-to-image generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.728358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c0f8328-a04a-43ae-9372-84076f1c2057 · outbound

This paper cites OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

Reference 19

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Source-reported events for the cited work

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Observation ffc72921-f5e6-4523-9723-d23778d31cd0 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Dpok: reinforcement learning for fine-tuning text-to-image diffusion models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.719666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a49943ae-083e-4f04-924f-c5f98e89a191 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Training Diffusion Models with Reinforcement Learning

Reference 21

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Source-reported events for the cited work

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Observation 3d82d039-20cc-42ab-9944-ced4ffa73f96 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Proximal Policy Optimization Algorithms

Reference 22

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Observation f5d1d4d8-172b-4707-b6b7-55870db39f66 · outbound

This paper cites Direct prefer- ence optimization: Your language model is secretly a reward model,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Direct prefer- ence optimization: Your language model is secretly a reward model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.710368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0af8666d-0e7e-4f19-a634-d622111e675f · outbound

This paper cites Stimulating diffusion model for image denoising via adaptive embedding and ensembling,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Stimulating diffusion model for image denoising via adaptive embedding and ensembling,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.701020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation baa652e8-00ce-48a7-bf95-b584a9bdb855 · outbound

This paper cites Blue noise for diffusion models,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Blue noise for diffusion models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.691274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a764e69-28ab-4476-bac1-3702711a3a7c · outbound

This paper cites Boosting Diffusion Models with Moving Average Sampling in Frequency Domain.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Boosting Diffusion Models with Moving Average Sampling in Frequency Domain

Reference 26

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Observation 80e01d5d-5291-4403-a1f0-853487a63e6a · outbound

This paper cites FreSca: Scaling in Frequency Space Enhances Diffusion Models.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning FreSca: Scaling in Frequency Space Enhances Diffusion Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.136256Z

Source-reported events for the cited work

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Observation 293a2962-4691-4cb0-bce0-88f8b86fb19b · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning A dense reward view on aligning text-to-image diffusion with preference,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.682210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f77c922-b895-41d0-a9a4-06d761f17ebe · outbound

This paper cites Confronting reward overoptimization for diffusion models: A perspective of inductive and primacy biases,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Confronting reward overoptimization for diffusion models: A perspective of inductive and primacy biases,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.672920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ddc2152-916d-4b1e-b35e-103cb7023a17 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 30

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Source-reported events for the cited work

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Observation 11dccaa8-3582-4b83-b462-f53b6771e70d · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Diffusion models beat gans on image synthesis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.663616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 186e990f-a787-4d59-ab3d-7b884ffe7fd5 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Classifier-Free Diffusion Guidance

Reference 32

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Source-reported events for the cited work

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Observation edd2dd8b-19b6-4ce7-bea8-43db8f0eb1bd · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Aligning Text-to-Image Models using Human Feedback

Reference 33

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Source-reported events for the cited work

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Observation 7795060c-6414-4eb9-821b-c97d09fe8840 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 34

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Observation 03783dd0-c41f-4932-9fd6-780499cd33e4 · outbound

This paper cites Optimizing ddpm sampling with shortcut fine-tuning,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Optimizing ddpm sampling with shortcut fine-tuning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.653284Z

Source-reported events for the cited work

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Observation 44e5fb01-4654-4a95-ae6e-54baca475030 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Deep reward supervisions for tuning text-to-image diffusion models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.644330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44045a80-0c4d-4cde-b168-b89721392dd0 · outbound

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

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Using human feedback to fine-tune diffusion models without any reward model,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.634403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e8fbaae-74bc-41a7-8ce7-76a0602f52ed · outbound

This paper cites Diffusion model alignment using direct preference optimization,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Diffusion model alignment using direct preference optimization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.549875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 357d6f4e-48c6-430d-9274-161ff9e8f422 · outbound

This paper cites Steps toward artificial intelligence,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Steps toward artificial intelligence,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.540929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0ad225d-b9e1-4768-80e0-10a61a269b37 · outbound

This paper cites Temporal credit assignment in reinforcement learning,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Temporal credit assignment in reinforcement learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.530218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65d6c08a-74bd-40f4-9270-b8aac917d6a7 · outbound

This paper cites Learning guidance rewards with trajectory-space smooth- ing,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Learning guidance rewards with trajectory-space smooth- ing,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.520203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33f72736-f8f7-4112-a81b-668036b499ca · outbound

This paper cites Harutyunyan, W.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Harutyunyan, W

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.510627Z

Source-reported events for the cited work

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Observation 3724d282-7afc-42bc-aa97-5da828ff567a · outbound

This paper cites Policy invariance under reward transformations: Theory and application to reward shaping,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Policy invariance under reward transformations: Theory and application to reward shaping,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.502040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0a81003-26d7-43ce-ba62-ae59e4f1d1e5 · outbound

This paper cites Text2Reward: Reward Shaping with Language Models for Reinforcement Learning.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.188530Z

Source-reported events for the cited work

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Observation c99752e1-3a18-426a-8a2b-ebd7f2dcc812 · outbound

This paper cites DPO meets PPO: Reinforced token optimization for RLHF,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning DPO meets PPO: Reinforced token optimization for RLHF,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.493068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a6199c3-bf2b-4c68-ba3a-3e3b22308795 · outbound

This paper cites R3HF: Reward redistribution for enhancing reinforcement learning from human feedback,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning R3HF: Reward redistribution for enhancing reinforcement learning from human feedback,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.484041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9469099a-82cb-40f7-a438-e3935c0b55f9 · outbound

This paper cites Dense reward for free in reinforcement learning from human feedback,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Dense reward for free in reinforcement learning from human feedback,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.474408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1be93a43-71a6-4aa1-8b09-4246ea680c60 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Simple statistical gradient-following algorithms for connectionist reinforcement learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.453992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69347cfb-4e3b-468c-9ed9-27beddb7a661 · outbound

This paper cites Auto-Encoding Variational Bayes.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Auto-Encoding Variational Bayes

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.207681Z

Source-reported events for the cited work

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Observation f6951719-dd51-470b-898e-5a1b0c4726a2 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Emerging properties in self-supervised vision transformers,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.444511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dabf1354-2074-4903-b190-7c30f48f6d6d · outbound

This paper cites DiffSim: Taming Diffusion Models for Evaluating Visual Similarity.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning DiffSim: Taming Diffusion Models for Evaluating Visual Similarity

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.214334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92df4940-22bb-4894-8c43-65ab8291f10c · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning LoRA: Low-rank adaptation of large language models,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.217670Z

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Unavailable: canonical work link unavailable.

Observation 1762ec38-ef64-4b33-9f98-a3eb686a4f25 · outbound

This paper cites Policy gradient methods for rein- forcement learning with function approximation,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Policy gradient methods for rein- forcement learning with function approximation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.429414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8186217-4635-4ead-9ac7-55d49981bf93 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.224156Z

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Observation e00ca729-7998-4e5e-9493-2baae7aac08c · outbound

This paper cites Training deep nets with sublinear memory cost,.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Training deep nets with sublinear memory cost,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.419888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5acd2f4-921b-43af-b595-29fdb03e2953 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Training Deep Nets with Sublinear Memory Cost

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.232105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb825529-10da-4a0b-bf1e-6db2928fdaf5 · outbound

This paper cites Available: https://openreview.net/forum?id=eyxVRMrZ4m.

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Available: https://openreview.net/forum?id=eyxVRMrZ4m

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:26.463485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 45e9e2b8-63b4-4484-a920-a61a0bdab5c2 · inbound

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation cites this paper.

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:18:33.490433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb275552-9d13-432f-8f4c-003c320e670b · inbound

LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion cites this paper.

LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T21:09:36.040879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e0a791-1444-4142-a587-66be70140e9f · inbound

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories cites this paper.

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:18.786800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2f44700-b3bf-4fee-b294-a22df8a5e414 · inbound

VPG: Visual Prefix Guidance for Autoregressive Image and Video Generation cites this paper.

VPG: Visual Prefix Guidance for Autoregressive Image and Video Generation Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.984555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.