Paper Citation Record · LEDGER

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL

As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 3 inbound Pith citation observations for arXiv:2505.24875.

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

pith.paper-citation-record.v1
2505.24875 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:19:25.920603Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:15:24.299457Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:58.166311Z

Reference resolution

56 of 56 outbound references displayed

verified exact0
verified fuzzy15
unresolved40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c1e8fe9-3fe8-4872-a098-beafa3743ef1 · outbound

This paper cites Qwen2.5-vl technical report, 2025.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Qwen2.5-vl technical report, 2025

Reference 1

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Source-reported events for the cited work

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Observation 3bf3e526-497e-4eda-a338-cb84a3a60eef · outbound

This paper cites Improving image generation with better captions.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Improving image generation with better captions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:20.452817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bf5d48-7188-493f-9703-1b44127a1671 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 3

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Observation 8daead1c-a05b-4470-add4-3b022ef5fd22 · outbound

This paper cites Janus-pro: Unified multimodal understanding and generation with data and model scaling, 2025.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Janus-pro: Unified multimodal understanding and generation with data and model scaling, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:20.656887Z

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Observation 343f0c26-b04a-4fc1-8f0d-a8163e34f07e · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL PaLM: Scaling Language Modeling with Pathways

Reference 5

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Source-reported events for the cited work

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Observation 821852c3-1ba3-4a06-b113-1c7319d2c6af · outbound

This paper cites an unresolved cited work.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation f6ea4bee-7895-4298-8e66-469570ee9a47 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b39cfff-7342-40c2-9cb6-30d8444d13c2 · outbound

This paper cites DreamLLM: Synergistic Multimodal Comprehension and Creation.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL DreamLLM: Synergistic Multimodal Comprehension and Creation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:21.117515Z

Source-reported events for the cited work

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Observation 7e58fcdc-f7e4-4c6f-b9ef-5e879d8aa29e · outbound

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

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 9

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Source-reported events for the cited work

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Observation a51d3362-6996-48e9-86df-fd6597aa6307 · outbound

This paper cites Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models, 2023.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:21.309654Z

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Observation f18f5d7f-9a22-4321-be1b-36425a22a41a · outbound

This paper cites Puma: Empowering unified mllm with multi-granular visual generation, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Puma: Empowering unified mllm with multi-granular visual generation, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:29.678412Z

Source-reported events for the cited work

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Observation 6157ec25-e00a-48b9-82a2-c14172804ab1 · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment, 2023.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Geneval: An object-focused framework for evaluating text-to-image alignment, 2023

Reference 12

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Observation cf4decb0-ec46-4f56-9452-b537fc652045 · outbound

This paper cites Gemini 2.0 flash | generative ai on vertex ai | google cloud.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Gemini 2.0 flash | generative ai on vertex ai | google cloud

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:29.464037Z

Source-reported events for the cited work

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Observation 081cfe8c-5871-4cda-a8be-8a5bfe6693bf · outbound

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

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step

Reference 14

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Source-reported events for the cited work

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Observation 80d4abed-ac5d-4170-8501-5d54b53c3ea7 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor, 2018.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor, 2018

Reference 15

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Source-reported events for the cited work

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Observation 8233b3cf-fb82-46ca-ab87-f80b740aa482 · outbound

This paper cites Soft actor-critic algorithms and applications, 2019.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Soft actor-critic algorithms and applications, 2019

Reference 16

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Observation e2a7e25e-8381-4d42-8ba6-e7e858526d96 · outbound

This paper cites Classifier-free diffusion guidance, 2022.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Classifier-free diffusion guidance, 2022

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:21.920865Z

Source-reported events for the cited work

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Observation b7724809-66da-42df-a5ed-a3cb0cb88fd5 · outbound

This paper cites Ella: Equip diffusion models with llm for enhanced semantic alignment, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Ella: Equip diffusion models with llm for enhanced semantic alignment, 2024

Reference 18

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Source-reported events for the cited work

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Observation 5f08eba9-4395-440f-8037-259b9c4bffcc · outbound

This paper cites an unresolved cited work.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 5d1d126a-0d60-491c-b1a6-735a1959944d · outbound

This paper cites T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023

Reference 20

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Source-reported events for the cited work

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Observation 5bdd6b94-65d8-4e80-af5c-72392a091af5 · outbound

This paper cites Comat: Aligning text-to-image diffusion model with image-to-text concept matching.Advances in Neural Information Processing Systems, 37:76177–76209, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Comat: Aligning text-to-image diffusion model with image-to-text concept matching.Advances in Neural Information Processing Systems, 37:76177–76209, 2024

Reference 21

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Source-reported events for the cited work

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Observation 5096048f-123e-41e5-8393-48e737c513f9 · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Flux.https://github.com/black-forest-labs/flux, 2024

Reference 22

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Observation 49ffe53d-9cab-4361-adee-16adf5907197 · outbound

This paper cites Parrot: Pareto-optimal multi-reward reinforcement learning framework for text-to-image generation, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Parrot: Pareto-optimal multi-reward reinforcement learning framework for text-to-image generation, 2024

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d6146c9-8d2b-42da-ae31-3ebc7a8a8a98 · outbound

This paper cites Adaptive group policy optimization: Towards stable training and token-efficient reasoning, 2025.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Adaptive group policy optimization: Towards stable training and token-efficient reasoning, 2025

Reference 24

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Observation f9f44bc3-1cb3-4d5d-b3f4-b1640de6b4fc · outbound

This paper cites Optimizing safe and aligned language generation: A multi-objective grpo approach, 2025.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Optimizing safe and aligned language generation: A multi-objective grpo approach, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:28.566543Z

Source-reported events for the cited work

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Observation 828aafc2-82f4-4cd0-9f28-8554f5afe805 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 26

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Observation e2932b53-4de1-4e27-9e66-765eb64805cf · outbound

This paper cites Dual Diffusion for Unified Image Generation and Understanding.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Dual Diffusion for Unified Image Generation and Understanding

Reference 27

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Observation c8e1d637-a14e-433d-8dd3-148d08a93a13 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 28

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Observation 7b8d0570-b9a7-454a-8e1e-32c943482cf9 · outbound

This paper cites Chang, Yiyi Zhang, Kianté Brantley, and Wen Sun.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Chang, Yiyi Zhang, Kianté Brantley, and Wen Sun

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:28.271015Z

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Observation 520b4094-5ab7-4ad0-a153-138c704cd78f · outbound

This paper cites Introducing openai o1.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Introducing openai o1

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:27.940246Z

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Observation 3b3ea3de-119a-4b93-a90f-92fd68b96a50 · outbound

This paper cites Introducing gpt-4.1 in the api.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Introducing gpt-4.1 in the api

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:27.721474Z

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Observation 89e19683-d077-4410-9843-a94c530ea9ef · outbound

This paper cites GPT-4 Technical Report.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL GPT-4 Technical Report

Reference 32

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Observation 372c4ff8-c17e-4c06-9adb-ee2ed6a42a0b · outbound

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

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 33

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Observation 31a13edb-3c1a-41cd-a9da-eb3e6a798a27 · outbound

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

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL High- resolution image synthesis with latent diffusion models

Reference 34

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Observation 5f7fe275-a4d5-4bc1-9727-6af5bc630334 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models, 2022.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Laion-5b: An open large-scale dataset for training next generation image-text models, 2022

Reference 35

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ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Unresolved cited work

Reference 36

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Observation 9a11efb7-959b-45e4-a447-1ba8e9e07351 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL HybridFlow: A Flexible and Efficient RLHF Framework

Reference 37

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This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 38

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Observation 64d3ceb9-bc37-4b14-9bb5-08fd01cc5432 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 39

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Observation f592f7ab-c063-4027-a700-c224b777c411 · outbound

This paper cites Diffusion model alignment using direct preference optimization, 2023.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Diffusion model alignment using direct preference optimization, 2023

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:24.295396Z

Source-reported events for the cited work

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Observation 0c6a2e07-2921-4c2e-b479-9cfde000df1a · outbound

This paper cites ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:24.393195Z

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Observation 20c8b5bd-20a2-4e09-b781-b42fe24073e7 · outbound

This paper cites Emu3: Next-token prediction is all you need, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Emu3: Next-token prediction is all you need, 2024

Reference 42

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Source-reported events for the cited work

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Observation 3235846e-5c03-42f9-83b2-23593b499767 · outbound

This paper cites Powerful and flexible: Personalized text-to-image generation via reinforcement learning, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Powerful and flexible: Personalized text-to-image generation via reinforcement learning, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:27.412501Z

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Observation b7684b6f-f80e-493d-bb61-c03aaadfeb86 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models, 2023.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Chain-of-thought prompting elicits reasoning in large language models, 2023

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:24.674950Z

Source-reported events for the cited work

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This paper cites Show-o: One single transformer to unify multimodal understanding and generation, 2024.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Show-o: One single transformer to unify multimodal understanding and generation, 2024

Reference 45

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Source-reported events for the cited work

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Observation 28de2b04-32a5-4237-bfee-5ba310886afc · outbound

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

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 46

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Observation bc88d3b1-c45d-4b25-9062-aadcfb317d02 · outbound

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

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:24.969667Z

Source-reported events for the cited work

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Observation b9d0d6fc-7e1c-441a-8cf2-ed4ba973b7c1 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 48

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Source-reported events for the cited work

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Observation 91edc5f3-0b39-4020-858b-2545b1e2fb0a · outbound

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

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:25.290973Z

Source-reported events for the cited work

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Observation 1d1a5a19-bb02-4fe0-b268-e8d13c5bf470 · outbound

This paper cites During this stage, we feed the GPT with image.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL During this stage, we feed the GPT with image

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:27.223024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1377adb6-564f-41e8-8aba-25747491dc2f · outbound

This paper cites concise_caption.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL concise_caption

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:27.030784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aebcc363-223e-46dc-b89b-733b977dde90 · outbound

This paper cites concise_caption.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL concise_caption

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:26.845169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 082f4c67-bf4f-4ee3-bbdb-2f86dc07a7f1 · outbound

This paper cites an unresolved cited work.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:19:26.653408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02b56c0d-257b-44be-b46a-0b599dc3eadc · outbound

This paper cites an unresolved cited work.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:19:26.447247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5283f2f-b716-4494-b111-64544cefc427 · outbound

This paper cites thinking.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL thinking

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:26.303416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 396809e4-37d1-4efd-b27f-036826693a9c · outbound

This paper cites an unresolved cited work.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL Unresolved cited work

Reference 2025

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e3360399-e04b-4581-845c-25f6cfc3c417 · inbound

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation cites this paper.

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:50:37.142294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a0a4529-8acb-4d06-9d30-ebdc5e3679fe · inbound

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization cites this paper.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.285430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1deef55e-1035-4c6a-9b9f-9e30caa1f2f3 · inbound

IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation cites this paper.

IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:39:58.167947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.