Pith. sign in

Paper Citation Record · LEDGER

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 2 inbound Pith citation observations for arXiv:2505.17540.

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

pith.paper-citation-record.v1
2505.17540 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:08.313317Z

measured 65 of 65 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T05:13:42.934115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:15:54.348264Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a237e53-70eb-4d21-acf4-6ab9f50f2106 · outbound

This paper cites GPT-4 Technical Report.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:01.837447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:01.837447Z digest=sha256:34e9af020885a788a9bc5c9a9c73a0171497fb757334db137cec2b3975d3f5df

Observation b0e3d67d-b7fb-43de-9f14-a6bb56885238 · outbound

This paper cites Improving image generation with better captions.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Improving image generation with better captions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:01.917329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:01.917329Z digest=sha256:7f023859bfc1525ae246d3e0e8a3c9c3389d86f6839647685fc8a55f39c3f2a5

Observation a90988b7-628c-4705-a937-36d702fec898 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Training Diffusion Models with Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.074364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.074364Z digest=sha256:b2c4d2a6eb6256c98ec9fad9050d188c5514eaef4da7c67bb728d918a7b6b839

Observation 5f503239-41b8-4818-8b80-9e3eec994d17 · outbound

This paper cites BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:49:09.678792Z

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.

source=pdf_text observed=2026-08-07T14:49:02.193944Z digest=sha256:46f72ff1e725440f958866d862eea634665d0721c108d8ec81130101be114bb3

Observation c7d13886-23d5-49a9-bdf1-470abd134858 · outbound

This paper cites Training-free Regional Prompting for Diffusion Transformers.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Training-free Regional Prompting for Diffusion Transformers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.298652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.298652Z digest=sha256:a245da4cf5499c8531eafd13d3cb059e9c63f8e199bfac7c0c4d6daa4388de00

Observation f1beb165-4cd6-467f-8366-e2183308954a · outbound

This paper cites Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.417696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.417696Z digest=sha256:a450db49ecb34c4614a1df6f845b6aee3191b5fc2d95b187175f4dd202722acb

Observation 1bd9abf5-2e31-4fa1-b3e6-414c3f330de4 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.511529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.511529Z digest=sha256:5a4f278b75ea550c64b2a6e3c756085442bf0de982b93f791b259bbc2b86e39e

Observation 0e337797-abd4-473d-9d18-3f649e88ccb2 · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.578086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.578086Z digest=sha256:900897ca1f6f5c759869cbff19319580cf52109ad75c4645222da2f373864ca8

Observation 4a9c9932-7e71-461e-ba8b-098fefaff345 · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.659124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.659124Z digest=sha256:0324471e0ce5e8dd562759d3d019348ab743ccee068deb80d710e3e803d63d49

Observation d095863d-ec7e-4611-bcdc-7744fe5767fd · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Geneval: An object-focused framework for evaluating text-to-image alignment

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.758559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.758559Z digest=sha256:dbd023a9e709aad92a74f91bce453526ce8f69fdbf6a080dc45827a92d785b16

Observation 1d684b91-246c-474c-ae73-8e3bb940a83e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.820798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.820798Z digest=sha256:df0777e539eb26360c93346d17d26f9b6c21ae18831a79e918febc0cfd525dd6

Observation 68985570-cf22-4c64-a81b-df78e17297cc · outbound

This paper cites VersaT2I: Improving Text-to-Image Models with Versatile Reward.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning VersaT2I: Improving Text-to-Image Models with Versatile Reward

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:02.905061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:02.905061Z digest=sha256:2397e3fed895475c7b31f7e06a395252abaad808108df1f634e80f6043199593

Observation d2ea6fd7-5eff-4b53-b889-422edfe5faf5 · outbound

This paper cites Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:03.001071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:03.001071Z digest=sha256:6a489b0810edd16a0d2fd7939cef76954ef64cd8beb05f456515719eabf1ac99

Observation b545ffe2-00e7-4534-a532-0b48f2ba55d1 · outbound

This paper cites A simple and effective reinforcement learning method for text-to-image diffusion fine-tuning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning A simple and effective reinforcement learning method for text-to-image diffusion fine-tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:03.111538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:03.111538Z digest=sha256:4b35a5624daba81898312114b950a6ba7dcacbcc4c381894c3a138b284ea38ce

Observation e7f967d9-bfc1-4578-b2d6-e2ecd55d571d · outbound

This paper cites Optimizing prompts for text-to-image generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Optimizing prompts for text-to-image generation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:49:11.406579Z

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.

source=pdf_text observed=2026-08-07T14:49:03.241841Z digest=sha256:ae67c09f4e1468f2645c382b9ff7eb191a5502b1ac4a75309e672828c449a41c

Observation fdc1ef76-50d7-44c3-ba88-4d5d7ed4ccc1 · outbound

This paper cites T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:49:11.204732Z

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.

source=pdf_text observed=2026-08-07T14:49:03.344646Z digest=sha256:7293f46da0d72f685e2da2de4939d8ede8aa8b2eee9831b9b59590f3f80bd9b7

Observation efb91d72-2bd2-4ef7-9da4-e9e7d1f49cac · outbound

This paper cites Boosting MLLM Reasoning with Text-Debiased Hint-GRPO.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Boosting MLLM Reasoning with Text-Debiased Hint-GRPO

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:03.494449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:03.494449Z digest=sha256:1224e0fab1461f83674485bc916f52a49fad64ffdefa9fd0c35eefeba384c81f

Observation 546980d3-7fa9-4def-a44c-bb5048126620 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:03.656408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:03.656408Z digest=sha256:6331d737dd835b951c27bcf48262d74b61aebfcad7416ed4a9a10ec0aa100c3a

Observation 86004940-c933-4699-aa4e-dbe24a3520fc · outbound

This paper cites OpenAI o1 System Card.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning OpenAI o1 System Card

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:03.753170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:03.753170Z digest=sha256:7ed09d0e333f14a459fdccc652d8fa8eed3e09821ab5ce8cfbe556cec869b2c1

Observation 7ee20ec3-bc98-4ba6-beea-86807f72809f · outbound

This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:03.893674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:03.893674Z digest=sha256:8cf84bbec3984abf16ebe706dfa78c50d2e287bc41fe865385aa6d63e1faa232

Observation 5a4467ca-7c90-4c8d-8e12-ff6f8406d14e · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.002901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.002901Z digest=sha256:78779913626127e5e88afd33d0356718c798b0c41ce725e7de63846017409ee3

Observation dfd53082-325b-45ab-95bf-ddc8aec15881 · outbound

This paper cites an unresolved cited work.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.114737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.114737Z digest=sha256:80a4223d2a9084b6950568b450f3bd44e62f798f3ef61f703fa3f906763a4c44

Observation 5315e9e0-89e8-46bc-a49a-4f8df1aeef1a · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Aligning Text-to-Image Models using Human Feedback

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.234638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.234638Z digest=sha256:be3e869af284c499fd26e9e89771f552f0a40e240eda7685a89ab1f6085aaeb4

Observation b91ce33d-a12b-4f34-81bf-72b7637961d7 · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Parrot: Pareto-optimal multi-reward reinforcement learning framework for text-to-image generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.355793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.355793Z digest=sha256:2235a015470bdda82ccb1ae76eace3069dbc75268f9e58391d72ae12bde3b680

Observation cda6905f-c5b1-4793-87b6-7c120fbe169d · outbound

This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.492737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.492737Z digest=sha256:9b2317f32dd3fa3af84da23548e1c8c019183f4f63a60197baf70b236b5a5a49

Observation 0ed0ac74-e055-4076-b538-1f802b9a5f00 · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Rich human feedback for text-to-image generation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:49:10.935339Z

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.

source=pdf_text observed=2026-08-07T14:49:04.616829Z digest=sha256:3c0ccf648db906e60fabdb917fb67030ceea454c7552783299a11f310b107302

Observation 5b7f518a-5f1d-4917-824d-cf9e5d79b6bf · outbound

This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.771360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.771360Z digest=sha256:ae9a69c06629fb1ee98367e9633bbaec5aff4008781c32e82a4bd25398918620

Observation 8e1dd84c-fab1-43d0-9340-31f6ef219a45 · outbound

This paper cites UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.878809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.878809Z digest=sha256:676156b2578a67a622bdab565ce6dde2953255326eeca88406b151f824850b3d

Observation aaa4947c-353b-441b-96d5-ec5513b83962 · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:04.986986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:04.986986Z digest=sha256:52fd50ff1ac0f219d5864b17cb30c0c0dbd1d476a031aeb8366142cf29b73a5d

Observation fa0ade0d-1170-4d39-a89b-fd0e2150e4a1 · outbound

This paper cites Deepperception: Advancing r1-like cognitive visual perception in mllms for knowledge-intensive visual grounding.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Deepperception: Advancing r1-like cognitive visual perception in mllms for knowledge-intensive visual grounding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.118052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.118052Z digest=sha256:c19999744f7b5289e05bc013222a05590c06cce5de6331ce45332d9be153c20b

Observation d1cf3905-27a2-4b85-b117-a4f7c8cd9960 · outbound

This paper cites Improving Text-to-Image Consistency via Automatic Prompt Optimization.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Improving Text-to-Image Consistency via Automatic Prompt Optimization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.244513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.244513Z digest=sha256:6495ef94c21ebb93d02be8a9734f9ccc4fb2cde63b664a489c09d9005174797e

Observation ef35f0ff-7164-4f28-8241-11009701c900 · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Dynamic prompt optimizing for text-to-image generation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:49:10.705624Z

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.

source=pdf_text observed=2026-08-07T14:49:05.399264Z digest=sha256:eaafa0d52472e6e34d6214244b80eb7d4f9ab17816fe4679e9818dde210cffd5

Observation eceddefc-29c9-4928-8e43-ebd1b33057a8 · outbound

This paper cites Preference Adaptive and Sequential Text-to-Image Generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Preference Adaptive and Sequential Text-to-Image Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.508199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.508199Z digest=sha256:c45a0c6e47d7ccdec6d66aabd8f045b0b84ddde56be059e3f9ff1c1f827481ee

Observation 4424fbae-01e6-47ba-a757-3d834ac3d637 · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.605645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.605645Z digest=sha256:53e0112ea988c06246ad48b0f5bf19884df348abc9e75b9de5bf2e13a63e4e02

Observation 6f66e5d7-2e63-4922-892d-d6e88607e9e7 · outbound

This paper cites Diffusiongpt: Llm-driven text-to-image generation system.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Diffusiongpt: Llm-driven text-to-image generation system

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.678066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.678066Z digest=sha256:11e3dfc2aa105ee732160fd08006a96234d12bab3c3b3ecf2d0c6240d3f4211e

Observation 917512dd-4ce3-414b-abc4-897d38cb3bca · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning High- resolution image synthesis with latent diffusion models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.783083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.783083Z digest=sha256:2a5e1e3b58cf6c5efee91210c6026ec5852678d5652dedcddf1045557def6c1a

Observation 85c5a8ad-419a-4a28-80c0-5850a818c3fc · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Photorealistic text-to-image diffusion models with deep language understanding

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.849176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.849176Z digest=sha256:7ab7e6afbc7854babb9e45d7cbf83ffcfcd3403b8dc32d87e25cc6b101857043

Observation 61c0ab3d-4406-45d7-89e3-fdbba3079fde · outbound

This paper cites FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:05.928871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:05.928871Z digest=sha256:8a5e14f5ea9d75ddc72ea1b34b0f688a8b93396749b33d2936bf46189115403a

Observation fb7847d3-d40f-446d-96c8-2222cc23b10a · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.046543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.046543Z digest=sha256:4c59f44db88c3defe6b69e7524304bd5ceb27aaab4572d91d39b2a59d8b8f690

Observation 20e3a568-51e3-47ce-a953-bb8eb8dae86f · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.145848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.145848Z digest=sha256:875edcc66551fb9666983ce6c0f404100a84229396aa2cc80b2e3a0237ef80f4

Observation 07f4aa66-f7c1-4cd8-babb-e82b3a5475b0 · outbound

This paper cites Reft: Reason- ing with reinforced fine-tuning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Reft: Reason- ing with reinforced fine-tuning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:49:10.473898Z

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.

source=pdf_text observed=2026-08-07T14:49:06.222540Z digest=sha256:c6c294e61eb57bc74f2f66956b6ef940c59f8e4994426a7368b2d1219c5a8bbf

Observation d72d288b-ab7e-4198-9fbd-b109f3043ea1 · outbound

This paper cites Diffusion model alignment using direct preference optimization.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Diffusion model alignment using direct preference optimization

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.282736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.282736Z digest=sha256:25bf4c553c71c77ae66b2edc1279f3fca68de8ef5f82d00778d740b1d5fa8237

Observation 8354ca32-de60-4a27-815f-afb0b02f0c36 · outbound

This paper cites SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.404856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.404856Z digest=sha256:4b6062dfb44701a0914639ff99799c2c2f7d48276978615f4fff32d00328f579

Observation 3f6b87a9-df61-4eab-95f2-9149e0a580e8 · outbound

This paper cites Mint: Multi-modal chain of thought in unified generative models for enhanced image generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Mint: Multi-modal chain of thought in unified generative models for enhanced image generation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.461069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.461069Z digest=sha256:acb2c100919fa1418757543e9522af54c3a8fcb6104f9206da0e2fb1f06c3a25

Observation b0e7fb15-ba11-491a-aefc-2f068c793b79 · outbound

This paper cites Genartist: Multimodal llm as an agent for unified image generation and editing.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Genartist: Multimodal llm as an agent for unified image generation and editing

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.590652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.590652Z digest=sha256:e8de2437ede717604a59acd63a1e3c16e4642a9f7d928a0cbfa80c4309cca576

Observation 23281936-61ec-463e-a03f-4de7b5244e6f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Chain-of-thought prompting elicits reasoning in large language models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.695683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.695683Z digest=sha256:d8c22a41e8aa3b758493e2a3ae5b373b148d80e466a347ef1282cd9b506da53d

Observation 5b1c4e98-ff2d-4f58-9808-0ee440b83591 · outbound

This paper cites Self-correcting llm-controlled diffusion models.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Self-correcting llm-controlled diffusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:49:10.202580Z

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.

source=pdf_text observed=2026-08-07T14:49:06.840329Z digest=sha256:c34533aaf967260448c9ebf9c36cde2f7fccb321167a1f8f4d485125d1dc9ce7

Observation 24c293dc-da51-4b7a-9485-9148647fb7a2 · outbound

This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:06.921433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:06.921433Z digest=sha256:20b3a7ce0a8f7ec6798f7346981ce6d6277a354ea1f13e621f85a9d239849347

Observation 9ea9f249-8fbf-4f1a-8828-0a09e7ebae22 · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.003942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.003942Z digest=sha256:905591dfd79a9d3706e227088b974017a84e5e416fce12fb8981253b0b4c10c6

Observation a9790556-0bfd-4fc9-ad41-d1583cf49b71 · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.081695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.081695Z digest=sha256:f79aa3b80949604a2bcc482d375482a7029f1597e2168a033cff752d392cf89e

Observation ba061631-dbb1-4e8d-88ce-825f77bf570f · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning DanceGRPO: Unleashing GRPO on Visual Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.170807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.170807Z digest=sha256:fc6af69f54bfaaa1a99004c2018df63ab0e2ffd78c511d9c01675a07d0e6c6d1

Observation e6a25805-b53e-4bcc-b613-19fabd885838 · outbound

This paper cites Qwen2.5 Technical Report.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Qwen2.5 Technical Report

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.247590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.247590Z digest=sha256:29e45f46e1e9c08797dc37576c15f68ccca8a53c744c7e3a312a286c02d796de

Observation b0a09c41-c0aa-4579-9cd9-a805a73c02ff · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.305264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.305264Z digest=sha256:3b5d1868f33bc69ac6db3f61b1d9405bc0d2078f60b5c000cf0ab4fa2e5a6a21

Observation cc0e0cbb-c811-422f-a6c2-66f66137d865 · outbound

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

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning A Dense Reward View on Aligning Text-to-Image Diffusion with Preference

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.407728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.407728Z digest=sha256:8b749aaa91120f223997cd5896f9f077c48a99b6782a28d41ba22f161c0dd091

Observation 67869d98-7605-42e3-8156-6b6374ba421f · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.511716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.511716Z digest=sha256:e9328b37b6360696658e66ad759f8eab14ba96414f4eda6a1e3df2ed741835e1

Observation 0120178c-f175-421a-a517-dc5473fad00b · outbound

This paper cites Idea2img: Iterative self-refinement with gpt-4v for automatic image design and generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Idea2img: Iterative self-refinement with gpt-4v for automatic image design and generation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:49:09.904568Z

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.

source=pdf_text observed=2026-08-07T14:49:07.616883Z digest=sha256:cc6fb12d7379476b202f5e53cd8208957f039f89f388a21873e51ddb42486522

Observation e3298c3e-744e-4c1d-8de9-4682084dd23d · outbound

This paper cites Tipo: Text to image with text presampling for prompt optimization.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Tipo: Text to image with text presampling for prompt optimization

Reference 57

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:49:08.889862Z

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.

source=pdf_text observed=2026-08-07T14:49:07.691290Z digest=sha256:afeea91607627ebc99809e4098d101340f955f5cc97f5e278589f317b41ba67b

Observation 131b1d12-7e74-488f-9639-5a66260a5684 · outbound

This paper cites Perception-R1: Pioneering Perception Policy with Reinforcement Learning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.789675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:07.789675Z digest=sha256:fdc7a3cfeaf55e191901e7b3a0df4b45df9ad93bc25500856de57450f5720c0a

Observation 6dbcd73b-01e5-41dd-a884-60c1e51580d2 · outbound

This paper cites Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:49:08.623995Z

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.

source=pdf_text observed=2026-08-07T14:49:07.892684Z digest=sha256:91c3db5a43eb0d266bf6b3402575f3c97cf26b835fbf66b73bff2272bfcd8560

Observation 1740fecb-eff9-4db1-8641-235519ede143 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:08.000931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:08.000931Z digest=sha256:faa44a8cfc2f0851635127a2423c3df498eae5c6576a35887130f8f976ff22a9

Observation 8a3e481c-55bb-4e0e-ae96-8a598fe009f5 · outbound

This paper cites IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:08.072338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:08.072338Z digest=sha256:d652ff5d2c2cd388f341662732c2150b564de759e91f8a93ba3f70e78e5b7d8f

Observation 7cee6f8d-aeec-459c-90c2-f47d0a55674b · outbound

This paper cites Layercraft: Enhancing text-to-image generation with cot reasoning and layered object integration.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Layercraft: Enhancing text-to-image generation with cot reasoning and layered object integration

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:08.176819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:08.176819Z digest=sha256:bd8f9aae5be88da81b5ead8192fb6bb467d9a76978aacfd4df855b45bfc724df

Observation 672d72ac-72a6-4fa0-99a9-2a968adf0d0a · outbound

This paper cites Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:08.313317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:08.313317Z digest=sha256:65331fe4c852ee7824c114293de75f8e9c7e794ba1b2c99e0187f53052865d64

Pith citing papers

Observation dcda053b-3db9-47d6-9614-6f5ec6395dcc · inbound

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling cites this paper.

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:15:54.350941Z

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.

source=pdf_text observed=2026-05-18T05:13:42.934115Z digest=sha256:8063db62eb4005149d3629565498c34f82c3c65787944e77f2305f6badebf8e7

Observation cb3317d0-c110-49a5-9976-de4a07b49920 · inbound

A Systematic Post-Train Framework for Video Generation cites this paper.

A Systematic Post-Train Framework for Video Generation RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:21.417103Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:50efd59e287eed166987b1340a9e8d6b868cf0b4224bf6375e6fb8146bcb7066