Paper Citation Record · LEDGER

R-Genie: Reasoning-Guided Generative Image Editing

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 2 inbound Pith citation observations for arXiv:2505.17768.

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

pith.paper-citation-record.v1
2505.17768 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:39.681727Z

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 2026-06-26T21:17:04.368521Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.598382Z

Reference resolution

63 of 63 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e49fde3-c98f-42c9-adc3-28511d6d7a2d · outbound

This paper cites GPT-4 Technical Report.

R-Genie: Reasoning-Guided Generative Image Editing GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation c7170823-5090-4293-a498-4f0b8a3d8b03 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

R-Genie: Reasoning-Guided Generative Image Editing Instructpix2pix: Learning to follow image editing instructions

Reference 2

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Observation cf8fdaf7-4fae-4a8c-bbdb-27597834ea0e · outbound

This paper cites Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis.

R-Genie: Reasoning-Guided Generative Image Editing Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:34.401485Z

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Observation 0d226bed-734c-4ee3-b098-aae642972e61 · outbound

This paper cites The revolution of multimodal large language models: a survey.arXiv preprint arXiv:2402.12451, 2024.

R-Genie: Reasoning-Guided Generative Image Editing The revolution of multimodal large language models: a survey.arXiv preprint arXiv:2402.12451, 2024

Reference 4

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Observation b2158e25-d588-4187-81aa-6ce1386dbc29 · outbound

This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

R-Genie: Reasoning-Guided Generative Image Editing A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 5

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Observation 977c83a1-fbaa-4502-b6d9-7d1d5c7197f3 · outbound

This paper cites Diffusion models in vision: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(9):10850–10869, 2023.

R-Genie: Reasoning-Guided Generative Image Editing Diffusion models in vision: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(9):10850–10869, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:34.742882Z

Source-reported events for the cited work

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Observation be32fd37-cc73-4585-8623-2b3b7073afb3 · outbound

This paper cites GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing.

R-Genie: Reasoning-Guided Generative Image Editing GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:34.827824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf3dccb2-5a83-4a76-98ec-f6d6d703cb7f · outbound

This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models.

R-Genie: Reasoning-Guided Generative Image Editing Guiding Instruction-based Image Editing via Multimodal Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:34.920045Z

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Observation b4afb409-feb4-4b0d-a8df-5cf72c265488 · outbound

This paper cites Blink: Multimodal large language models can see but not perceive.

R-Genie: Reasoning-Guided Generative Image Editing Blink: Multimodal large language models can see but not perceive

Reference 9

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Observation ff78ff11-3867-42da-a0fb-0097c1696894 · outbound

This paper cites Exploiting clip self-consistency to automate image augmentation for safety critical scenarios.

R-Genie: Reasoning-Guided Generative Image Editing Exploiting clip self-consistency to automate image augmentation for safety critical scenarios

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:44.073402Z

Source-reported events for the cited work

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Observation 15b2ccd7-63dd-4da4-a229-9687a5561ce0 · outbound

This paper cites Image style transfer using convolutional neural networks.

R-Genie: Reasoning-Guided Generative Image Editing Image style transfer using convolutional neural networks

Reference 11

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Observation d75c3803-9d2b-445d-8e6f-fc17c60aa1e1 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

R-Genie: Reasoning-Guided Generative Image Editing SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 12

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Observation c51a1187-448f-44f3-9fc8-075f158e1007 · outbound

This paper cites Instructdiffusion: A generalist modeling interface for vision tasks.

R-Genie: Reasoning-Guided Generative Image Editing Instructdiffusion: A generalist modeling interface for vision tasks

Reference 13

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Observation e455fd12-1278-4f08-b577-670c702786a6 · outbound

This paper cites Artificial general intelligence: concept, state of the art, and future prospects.

R-Genie: Reasoning-Guided Generative Image Editing Artificial general intelligence: concept, state of the art, and future prospects

Reference 14

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Observation 2ac678eb-afe3-46e9-bae6-b78988a74608 · outbound

This paper cites Diffusion models in low-level vision: A survey.

R-Genie: Reasoning-Guided Generative Image Editing Diffusion models in low-level vision: A survey

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:43.736396Z

Source-reported events for the cited work

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Observation 3c97427e-f89d-430a-b3f8-3ba0007d5ea4 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

R-Genie: Reasoning-Guided Generative Image Editing Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 16

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Observation 5c16cacb-53c3-41a1-9127-d693984b9095 · outbound

This paper cites Smartedit: Exploring complex instruction- based image editing with multimodal large language models.

R-Genie: Reasoning-Guided Generative Image Editing Smartedit: Exploring complex instruction- based image editing with multimodal large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:35.753105Z

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Observation 1b3064e8-3f9c-4ffa-9e35-eb2a98b81c08 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

R-Genie: Reasoning-Guided Generative Image Editing Image-to-image translation with conditional adversarial networks

Reference 18

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Observation 4fb701a8-a7fa-4fd5-adfd-b33b36b63ab6 · outbound

This paper cites UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding.

R-Genie: Reasoning-Guided Generative Image Editing UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding

Reference 19

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Observation 32b68690-cada-4a52-9224-4df1407d3dd2 · outbound

This paper cites A style-based generator architecture for generative adversarial networks, 2019.

R-Genie: Reasoning-Guided Generative Image Editing A style-based generator architecture for generative adversarial networks, 2019

Reference 20

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Observation 460a7837-d519-4da3-af38-7a93203fac1b · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

R-Genie: Reasoning-Guided Generative Image Editing Imagic: Text-based real image editing with diffusion models

Reference 21

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Observation 22507636-45af-4598-92d5-cb1de7016103 · outbound

This paper cites Referitgame: Referring to objects in photographs of natural scenes.

R-Genie: Reasoning-Guided Generative Image Editing Referitgame: Referring to objects in photographs of natural scenes

Reference 22

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Observation 42958a15-5507-41a5-b6e9-be6b67421afb · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

R-Genie: Reasoning-Guided Generative Image Editing Lisa: Reasoning segmentation via large language model

Reference 23

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Observation 7d436560-1fad-4610-b587-a7041d49c8f4 · outbound

This paper cites Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks.

R-Genie: Reasoning-Guided Generative Image Editing Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks

Reference 24

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Observation d79587cf-fdb0-434e-b252-53dae09a525f · outbound

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

R-Genie: Reasoning-Guided Generative Image Editing Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 25

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This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

R-Genie: Reasoning-Guided Generative Image Editing Textbooks Are All You Need II: phi-1.5 technical report

Reference 26

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Observation 4985be64-915d-436d-b285-27fdc134fecc · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

R-Genie: Reasoning-Guided Generative Image Editing Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 27

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This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

R-Genie: Reasoning-Guided Generative Image Editing Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 28

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This paper cites Decoupled Weight Decay Regularization.

R-Genie: Reasoning-Guided Generative Image Editing Decoupled Weight Decay Regularization

Reference 29

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Observation 86194af1-dce4-4632-822e-cf70268ff6a0 · outbound

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

R-Genie: Reasoning-Guided Generative Image Editing Adapedit: Spatio-temporal guided adaptive edit- ing algorithm for text-based continuity-sensitive image editing

Reference 30

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Observation 70e3498a-ca8b-46c5-874b-7a91e9805c8f · outbound

This paper cites Hd-painter: High-resolution and prompt-faithful text-guided image in- painting with diffusion models.

R-Genie: Reasoning-Guided Generative Image Editing Hd-painter: High-resolution and prompt-faithful text-guided image in- painting with diffusion models

Reference 31

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Observation 38069fa0-33f8-4dd1-8217-5f39252bb6ef · outbound

This paper cites Toward verifiable and reproducible human evaluation for text- to-image generation.

R-Genie: Reasoning-Guided Generative Image Editing Toward verifiable and reproducible human evaluation for text- to-image generation

Reference 32

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Observation 1b8b0ad5-1da0-41be-97c5-cd0e7ca57bdd · outbound

This paper cites State of the art on diffusion models for visual computing.

R-Genie: Reasoning-Guided Generative Image Editing State of the art on diffusion models for visual computing

Reference 33

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Observation 5cd6a7fa-891c-406f-a07e-9c06bd783107 · outbound

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

R-Genie: Reasoning-Guided Generative Image Editing SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 34

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

R-Genie: Reasoning-Guided Generative Image Editing Learning transferable visual models from natural language supervision

Reference 35

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R-Genie: Reasoning-Guided Generative Image Editing High- resolution image synthesis with latent diffusion models

Reference 36

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

R-Genie: Reasoning-Guided Generative Image Editing Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 37

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This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022.

R-Genie: Reasoning-Guided Generative Image Editing Laion- 5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022

Reference 38

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Observation 2f5098da-430d-43f3-a364-3a9caccbfbe2 · outbound

This paper cites Imagdressing-v1: Customizable virtual dressing.

R-Genie: Reasoning-Guided Generative Image Editing Imagdressing-v1: Customizable virtual dressing

Reference 39

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Observation 419e9b11-f379-40ac-9f57-57a65fe94717 · outbound

This paper cites Imagpose: A unified conditional framework for pose-guided person generation.Advances in neural information processing systems, 37:6246–6266, 2024.

R-Genie: Reasoning-Guided Generative Image Editing Imagpose: A unified conditional framework for pose-guided person generation.Advances in neural information processing systems, 37:6246–6266, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:42.515874Z

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This paper cites IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design.

R-Genie: Reasoning-Guided Generative Image Editing IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design

Reference 41

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R-Genie: Reasoning-Guided Generative Image Editing Learning by planning: Language-guided global image editing

Reference 42

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R-Genie: Reasoning-Guided Generative Image Editing Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 43

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R-Genie: Reasoning-Guided Generative Image Editing MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 44

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R-Genie: Reasoning-Guided Generative Image Editing Emu3: Next-Token Prediction is All You Need

Reference 45

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This paper cites Gpt4video: A unified multimodal large language model for lnstruction-followed understanding and safety-aware generation.

R-Genie: Reasoning-Guided Generative Image Editing Gpt4video: A unified multimodal large language model for lnstruction-followed understanding and safety-aware generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:42.109004Z

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R-Genie: Reasoning-Guided Generative Image Editing Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 47

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R-Genie: Reasoning-Guided Generative Image Editing Next-gpt: Any-to-any multimodal llm

Reference 48

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This paper cites Multimodal large language models make text-to-image generative models align better.Advances in Neural Information Processing Systems, 37:81287–81323, 2024.

R-Genie: Reasoning-Guided Generative Image Editing Multimodal large language models make text-to-image generative models align better.Advances in Neural Information Processing Systems, 37:81287–81323, 2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:41.812068Z

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R-Genie: Reasoning-Guided Generative Image Editing VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 50

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This paper cites Omnigen: Unified image generation, 2024.

R-Genie: Reasoning-Guided Generative Image Editing Omnigen: Unified image generation, 2024

Reference 51

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

R-Genie: Reasoning-Guided Generative Image Editing Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 52

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Observation d8119d7f-4d20-4d14-a2f9-776d8f273181 · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model.

R-Genie: Reasoning-Guided Generative Image Editing Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:41.547686Z

Source-reported events for the cited work

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

Observation 0b3c697b-ac14-4018-9871-1329f287f494 · outbound

This paper cites A survey on video diffusion models.ACM Computing Surveys, 57(2):1–42, 2024.

R-Genie: Reasoning-Guided Generative Image Editing A survey on video diffusion models.ACM Computing Surveys, 57(2):1–42, 2024

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:38.878723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e16215f-03e4-4b49-b64e-f0983e3f2e6c · outbound

This paper cites Progressive instance-aware feature learning for compositional action recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10317–10330, 2023.

R-Genie: Reasoning-Guided Generative Image Editing Progressive instance-aware feature learning for compositional action recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10317–10330, 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:41.306913Z

Source-reported events for the cited work

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

Observation 505c5eb0-70e6-448d-9fd8-011f92aaa11a · outbound

This paper cites Higcin: Hierarchical graph-based cross inference network for group activity recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6):6955–6968, 2020.

R-Genie: Reasoning-Guided Generative Image Editing Higcin: Hierarchical graph-based cross inference network for group activity recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6):6955–6968, 2020

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:41.071809Z

Source-reported events for the cited work

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

Observation 03c58007-bb48-455c-a611-874a8cbf01c7 · outbound

This paper cites Mmginpainting: Multi-modality guided image inpainting based on diffusion models.IEEE Transactions on Multimedia, 2024.

R-Genie: Reasoning-Guided Generative Image Editing Mmginpainting: Multi-modality guided image inpainting based on diffusion models.IEEE Transactions on Multimedia, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:40.826518Z

Source-reported events for the cited work

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

Observation c5a12dd0-34ab-4ec3-b017-c0bec96a2688 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

R-Genie: Reasoning-Guided Generative Image Editing MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:39.040135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04e15a43-4534-4a46-aa4a-0ae9a0120d08 · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023.

R-Genie: Reasoning-Guided Generative Image Editing Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:39.182063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 744f85c0-e23a-432b-b543-091f43e88fd0 · outbound

This paper cites Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing.

R-Genie: Reasoning-Guided Generative Image Editing Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:39.293055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97933a5-dccf-44e7-b652-638c0c3e53c5 · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

R-Genie: Reasoning-Guided Generative Image Editing Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:39.426759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a28de295-3447-4a9d-933b-e887f09de757 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

R-Genie: Reasoning-Guided Generative Image Editing Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:40.499769Z

Source-reported events for the cited work

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

Observation 8c12e8ab-acc2-421e-b714-4bd3c6ea149b · outbound

This paper cites an unresolved cited work.

R-Genie: Reasoning-Guided Generative Image Editing Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:46:40.170631Z

Source-reported events for the cited work

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

Pith citing papers

Observation 7363a002-f8f5-4e45-8f99-ee6d57bd8526 · inbound

ASTRA: Let Arbitrary Subjects Transform in Video Editing cites this paper.

ASTRA: Let Arbitrary Subjects Transform in Video Editing R-Genie: Reasoning-Guided Generative Image Editing

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:16:14.314804Z

Source-reported events for the cited work

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

Observation 847748c4-8358-48af-8c51-90af5092ed71 · inbound

ProductConsistency: Improving Product Identity Preservation in Instruction-Based Image Editing via SFT and RL cites this paper.

ProductConsistency: Improving Product Identity Preservation in Instruction-Based Image Editing via SFT and RL R-Genie: Reasoning-Guided Generative Image Editing

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.600228Z

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.