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Paper Citation Record · LEDGER

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation

As of 23 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2505.22407.

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

pith.paper-citation-record.v1
2505.22407 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:40.804899Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:48:22.594002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:54:20.717150Z

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation f6fde169-af7e-4700-a582-7808db30ccde · outbound

This paper cites Zigzag diffusion sampling: Diffusion models can self-improve via self-reflection.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Zigzag diffusion sampling: Diffusion models can self-improve via self-reflection

Reference 1

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Observation ca14f579-df4b-438a-bd57-353d058f03c2 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Training Diffusion Models with Reinforcement Learning

Reference 2

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Observation cfa2bbd6-6718-4fdd-8462-a07bbb3a5212 · outbound

This paper cites Classifier-Free Guidance is a Predictor-Corrector.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Classifier-Free Guidance is a Predictor-Corrector

Reference 3

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Observation e5fe4d46-9394-48c6-8177-0d375d56278b · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 4

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Observation c40710e8-c209-4dea-b5e9-db4c45dd91fe · outbound

This paper cites Diffusion models beat gans on image synthesis.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Diffusion models beat gans on image synthesis

Reference 5

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Source-reported events for the cited work

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Observation e555c5d5-62c2-432d-a501-af03b7e914f2 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models

Reference 6

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Observation f2610df7-e148-4d3a-8b44-440e1ea0b322 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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Observation 5c976fdc-86e1-4356-bcef-5e81b52d8b8e · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step

Reference 8

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Observation f7024dc9-fc5a-44e5-8106-cdc8a325c99b · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Clipscore: A reference-free evaluation metric for image captioning

Reference 9

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Observation 6c410219-ad8a-4515-a060-c19d741ce021 · outbound

This paper cites Denoising diffusion probabilistic models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Denoising diffusion probabilistic models

Reference 10

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Observation 834280df-b54e-4ae2-801d-0bb595a98657 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Classifier-Free Diffusion Guidance

Reference 11

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Observation 296c2ea8-6898-4f7d-be60-3a067f787c90 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Lora: Low-rank adaptation of large language models

Reference 12

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Observation 2f56465a-12dc-4f28-b8bd-a4ab21f0db97 · outbound

This paper cites Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards

Reference 13

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Observation 91de3f19-1a8b-407e-8ca1-750ea6eabe4c · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation

Reference 14

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Source-reported events for the cited work

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Observation dfe6acf5-f78b-4609-a4ea-dd4ea40f4c80 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 15

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Observation 7d8bc513-568e-41da-a2ab-26aa2a646ccc · outbound

This paper cites Qwen2.5-Coder Technical Report.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Qwen2.5-Coder Technical Report

Reference 16

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Observation c603f89f-3e49-4c14-994e-355ff7cd782b · outbound

This paper cites GPT-4o System Card.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation GPT-4o System Card

Reference 17

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Observation 70be1ff4-c214-452e-86f3-1b30673fd983 · outbound

This paper cites OpenAI o1 System Card.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation OpenAI o1 System Card

Reference 18

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Observation bc9aabb2-77ec-4fab-8070-06fbb54d625d · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 19

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Observation de49025f-2bac-4931-abef-4fb98952154d · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 20

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Observation 27c24742-3893-4051-b3fb-bb599c4331a6 · outbound

This paper cites Comat: Aligning text-to-image diffusion model with image-to-text concept matching.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Comat: Aligning text-to-image diffusion model with image-to-text concept matching

Reference 21

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Observation e13b0d27-6df3-4901-8c5d-bd1ed2145f42 · outbound

This paper cites MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 22

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Observation 32c73ff5-995f-403b-b215-d0c419f8054b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Adam: A Method for Stochastic Optimization

Reference 23

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Observation b6a50d33-cad9-4fe5-a264-4bde9dc4bcc9 · outbound

This paper cites Self-guidance: Boosting flow and diffusion generation on their own.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Self-guidance: Boosting flow and diffusion generation on their own

Reference 24

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Observation e6bc85d6-75ab-4565-858f-95db38b7b80f · outbound

This paper cites Let’s verify step by step.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Let’s verify step by step

Reference 25

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Observation ad948183-a4a9-4956-87d7-7d5b19eb05d7 · outbound

This paper cites Evaluating text-to-visual generation with image-to-text generation.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Evaluating text-to-visual generation with image-to-text generation

Reference 26

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Observation c4045779-23eb-4e1b-8330-a2841ece0349 · outbound

This paper cites Mathvista: Evaluating math reasoning in visual contexts with gpt-4v, bard, and other large multimodal models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Mathvista: Evaluating math reasoning in visual contexts with gpt-4v, bard, and other large multimodal models

Reference 27

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Source-reported events for the cited work

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Observation faa24b4c-db28-4867-9ec0-af782506e98f · outbound

This paper cites Safe-sd: Safe and traceable stable diffusion with text prompt trigger for invisible generative watermarking.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Safe-sd: Safe and traceable stable diffusion with text prompt trigger for invisible generative watermarking

Reference 28

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Observation 6d716ce0-ca9e-45d1-8636-546e8ecbb4d3 · outbound

This paper cites Adapedit: Spatio-temporal guided adaptive edit- ing algorithm for text-based continuity-sensitive image editing.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Adapedit: Spatio-temporal guided adaptive edit- ing algorithm for text-based continuity-sensitive image editing

Reference 29

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Source-reported events for the cited work

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Observation ed61938a-564b-451c-b8cb-ac36a50f6d9b · outbound

This paper cites Efficient diffusion models: A comprehensive survey from principles to practices.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Efficient diffusion models: A comprehensive survey from principles to practices

Reference 30

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Source-reported events for the cited work

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Observation d4276eef-19aa-4740-b401-e7db943cda28 · outbound

This paper cites Neural residual diffusion models for deep scalable vision generation.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Neural residual diffusion models for deep scalable vision generation

Reference 31

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Source-reported events for the cited work

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Observation 88802fe1-a30f-4401-af65-d8d1125fc814 · outbound

This paper cites Tango 2: Aligning diffusion-based text-to-audio generations through direct pref- erence optimization.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Tango 2: Aligning diffusion-based text-to-audio generations through direct pref- erence optimization

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f742ecaa-95e6-4f7e-82b8-cf6ee68f3543 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 33

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Observation f0e6ceaa-bf47-4cff-99e4-2a84b287ca17 · outbound

This paper cites Distributed repre- sentations of words and phrases and their compositionality.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Distributed repre- sentations of words and phrases and their compositionality

Reference 34

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Observation f9ef6d1e-64ad-4a6e-b9f0-92f232a50eaf · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 35

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Observation 77446939-94d6-4bea-b600-440839fff4de · outbound

This paper cites Improved denoising diffusion probabilistic models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Improved denoising diffusion probabilistic models

Reference 36

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Source-reported events for the cited work

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Observation 76fc94be-95e0-4267-9391-982dc4876959 · outbound

This paper cites Training language models to follow instructions with human feedback.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Training language models to follow instructions with human feedback

Reference 37

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source=pdf_text observed=2026-08-07T13:14:39.186301Z digest=sha256:acbfc8c82c76c9ce764f581453edbfc39ae52ca5126f1e1a635bb151dc91ef77

Observation 83b31cbd-0ea1-4f81-920d-773dafdb0372 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 38

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source=pdf_text observed=2026-08-07T13:14:39.254777Z digest=sha256:e6d5892e4772a8b79cba0395c75bf95fa4d55f430a3dce47dfb5e3c9b6648ca6

Observation 4e341893-94e0-4f04-babb-c2499123286c · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Learning transferable visual models from natural language supervision

Reference 39

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source=pdf_text observed=2026-08-07T13:14:39.324405Z digest=sha256:ccfe447fde951b746cd81f4bfabc55e2a3bb8ee97d9b0ced2eeb458b05cbbd5a

Observation 4e65a1c9-ed90-4155-b3ad-7e109fdd3828 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 40

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source=pdf_text observed=2026-08-07T13:14:39.405324Z digest=sha256:3b36fa2b243c3a7aa7a8742dbd41423edddd6a2b02ed27d06e90fcdbd713e0fe

Observation 5ecf334e-7b58-44d4-bd9d-58e3e89ac77a · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Zero-shot text-to-image generation

Reference 41

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raw_fallback, observed 2026-08-07T13:14:41.799680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T13:14:39.477312Z digest=sha256:5c7c4655b80215aded7ef6696ce9e224f0f2eb5dbf02f23841809576c01ab020

Observation 8d1756b8-b1ca-4500-b4f8-a368b9a9ba49 · outbound

This paper cites Diffusion Policy Policy Optimization.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Diffusion Policy Policy Optimization

Reference 42

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source=pdf_text observed=2026-08-07T13:14:39.549749Z digest=sha256:d7dae727d9777889f8252f397fb73a9fa24cc28c50b4f94e1f04a50818775931

Observation 68e38e57-0987-4352-b4e9-61d6d84a933a · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation High- resolution image synthesis with latent diffusion models

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T13:14:39.636798Z digest=sha256:e09f0f57c16d713a399675971246927e36a887604c6445e5f033e52116e6b642

Observation a0694195-f0a0-4806-9c47-e8ab32a0a060 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 44

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source=pdf_text observed=2026-08-07T13:14:39.732829Z digest=sha256:a7611abf3eae4a9d54e9d6c7281764a2c369004b6677065325da4bedf367f298

Observation 050f1d26-ba59-420c-bf2b-07480cf2fb4b · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 45

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source=pdf_text observed=2026-08-07T13:14:39.827414Z digest=sha256:fec4f01372121ee2d3005e5fdd5f8f7ae566084aae8a43afba35d3084cac0943

Observation a3211193-3497-4e07-9a36-fcb9df839135 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Proximal Policy Optimization Algorithms

Reference 46

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source=pdf_text observed=2026-08-07T13:14:39.919103Z digest=sha256:a089f65c4f47b6d4122c52926da08fc1be676da922ec116d17f7ee1da8c67f17

Observation b682c2f2-253f-41a1-8080-efbe1d277c85 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 47

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source=pdf_text observed=2026-08-07T13:14:40.000804Z digest=sha256:2f2900d863ad9dd0fb5996c5210deaae81503a35674bc6e8b472ad7f8d11c446

Observation 40060867-a8ae-49fe-a4b7-06e35f94dc2e · outbound

This paper cites Denoising Diffusion Implicit Models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Denoising Diffusion Implicit Models

Reference 48

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source=pdf_text observed=2026-08-07T13:14:40.080313Z digest=sha256:667a771b52217cc09d023ce4de81075a46c068b45a28f93dc1e0d0eb31aa4d1d

Observation 9446586b-297f-4336-a0f4-8d1a0d842a6b · outbound

This paper cites Improved techniques for training score-based generative models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Improved techniques for training score-based generative models

Reference 49

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source=pdf_text observed=2026-08-07T13:14:40.176636Z digest=sha256:c23a764a29073406e4ca3d227827d41c34ea2db57ea9aa39f2dd3f218657ad70

Observation 1a632d7a-6456-4f3b-98a1-810a5c8d252b · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Score-based generative modeling through stochastic differential equations

Reference 50

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source=pdf_text observed=2026-08-07T13:14:40.261096Z digest=sha256:ac9e530e7a8181a859de77ef3d2995ab0c7f8721020eaecfcca15d9d6f7f70e9

Observation bfd88cf5-b69b-4bec-9af4-5c9273eda00a · outbound

This paper cites Diffusion model alignment using direct preference optimization.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Diffusion model alignment using direct preference optimization

Reference 51

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source=pdf_text observed=2026-08-07T13:14:40.353920Z digest=sha256:26989267d2278c6c67babc13085b4eab2177e75be32f89af07ae1077cdcb0f8f

Observation 882337fd-89ec-4a4f-b32e-a5f1be4760e4 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Chain-of-thought prompting elicits reasoning in large language models

Reference 52

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source=pdf_text observed=2026-08-07T13:14:40.452609Z digest=sha256:b4f1de1e3d9662d7b8709741b70d8a0417ce0332cf94c6f04363358712f63b27

Observation 4e08eec1-e687-4255-9f91-1b3e39b2fa56 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 53

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source=pdf_text observed=2026-08-07T13:14:40.550241Z digest=sha256:fc43e9d4632e50dce9f3a5206500446817b6a9dc5d4e1eccc948fe92f3dc3f43

Observation 713d3c16-d252-438b-8332-21d5996fef51 · outbound

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

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 54

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source=pdf_text observed=2026-08-07T13:14:40.632581Z digest=sha256:da0fc93188c687e6d8a73db810d3277eeb38d8d8e9dc091941aeb4a69bda840e

Observation cca660ca-aa69-4a7f-b5de-f35d47b1681e · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation Adding conditional control to text-to-image diffusion models

Reference 55

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source=pdf_text observed=2026-08-07T13:14:40.725225Z digest=sha256:4c36b5c9a752083338f9c9264d3e5227869e2d4f430fdc6ed403b2179a7516ad

Observation 5a67142b-43ef-49a4-a05e-f83c9a3c7073 · outbound

This paper cites MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 56

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source=pdf_text observed=2026-08-07T13:14:40.804899Z digest=sha256:1b2e292c9dca65630c55c7b32a8c0eff4ea4027c2bee2e1725399052bf2d1281

Pith citing papers

Observation 73b3aa69-9359-4333-b413-c160689654f6 · inbound

PhySe-RPO: Physics and Semantics Guided Relative Policy Optimization for Diffusion-Based Surgical Smoke Removal cites this paper.

PhySe-RPO: Physics and Semantics Guided Relative Policy Optimization for Diffusion-Based Surgical Smoke Removal Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation

Reference 23

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arxiv_id, observed 2026-05-15T01:23:26.843935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T01:22:42.691009Z digest=sha256:d6608447d9ceb8113d48bcebe7553cf00ecd96530eb9fde2c111642fce5a453b

Observation 9f67a3ed-2d02-4a85-a412-eef603e7f8c6 · inbound

SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation cites this paper.

SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation

Reference 28

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arxiv_id, observed 2026-06-30T06:54:20.718579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T06:48:22.594002Z digest=sha256:625893fe3be104d33af09e62738c68ff82808a7d5375d75b18fff8ee7ac1513b