Paper Citation Record · LEDGER

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.23482.

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

pith.paper-citation-record.v1
2506.23482 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:44:35.062271Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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unresolved30
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfba4dbe-fe03-4af2-80c1-2d278ba06c6e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

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Observation 76ef8b62-a6fb-423f-bc2e-b44a7db2f237 · outbound

This paper cites Blended latent diffusion.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Blended latent diffusion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:37.963711Z

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Observation 86f77fc9-22b5-4859-93f1-92b5062bc25f · outbound

This paper cites Improving text-guided object inpainting with semantic pre-inpainting.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Improving text-guided object inpainting with semantic pre-inpainting

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:37.815462Z

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Observation aedc1592-037e-4636-9e0d-67ca8d1105e1 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 4

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Observation 5d9579db-dec8-481d-b5ae-843a0cf8faa5 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 5

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Observation ee3d785e-1010-4d68-bac4-978a365313d6 · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 6

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Source-reported events for the cited work

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Observation 65a465a8-5e63-4c7d-a6a2-a446422550ee · outbound

This paper cites Denoising dif- fusion probabilistic models.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Denoising dif- fusion probabilistic models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:44:31.844765Z

Source-reported events for the cited work

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Observation be1b7989-f77f-4780-9397-8870f926f066 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Arbitrary style transfer in real-time with adaptive instance normalization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:44:31.902694Z

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Observation 6ceca655-ac5f-42e5-8ba1-a1a8c090944f · outbound

This paper cites BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Reference 9

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Observation 07a1fd02-6678-4be5-bdde-1f329773b585 · outbound

This paper cites Auto-Encoding Variational Bayes.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Auto-Encoding Variational Bayes

Reference 10

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Source-reported events for the cited work

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Observation 59fb3945-2482-4b55-bf87-3f6d9b674507 · outbound

This paper cites Segment Anything.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Segment Anything

Reference 11

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Source-reported events for the cited work

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Observation 93513296-9f27-4ac9-ab37-17933ed1e2df · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class image classification.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Openimages: A public dataset for large-scale multi-label and multi-class image classification

Reference 12

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Observation 338ac064-ecf6-4a04-8d8b-b49fb7a4d69b · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 13

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Observation 83aaeaef-9b05-4f20-8a8c-903da4f955a5 · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Evaluating text-to-visual generation with image-to-text gen- eration

Reference 14

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Observation 0cbc1f01-05f9-4dfa-a9df-c6ba2f9daa39 · outbound

This paper cites Visual instruction tuning.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Visual instruction tuning

Reference 15

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Observation b513da9e-eaea-4042-a083-ff67ccb4376a · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 16

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Observation 12826b62-1358-47a8-8383-a6827ab1acb1 · outbound

This paper cites Painterly image harmonization using diffusion model.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Painterly image harmonization using diffusion model

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:37.244061Z

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Observation 1fd03217-ed05-439d-b3ab-bf6a2ab1d34b · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Repaint: Inpainting using denoising diffusion probabilistic models

Reference 18

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Source-reported events for the cited work

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Observation 3d2074cb-8c15-44b8-80a1-c29e525c26e4 · outbound

This paper cites Scalable diffusion models with transformers.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Scalable diffusion models with transformers

Reference 19

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Observation 55332f8b-7bd3-4dae-ad72-3bc87f3ffc8d · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

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Observation 0eee0116-9a44-4d8b-b6c5-559a07ccc566 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Learning transferable visual models from natural language supervi- sion

Reference 21

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Observation dd17796d-10e2-403b-bb24-9a977f4cca8c · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 22

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Observation d936efd2-d870-4a01-859c-e8055db9cb35 · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:44:33.089246Z

Source-reported events for the cited work

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Observation 220a25bb-c6e8-4f93-94bc-c745f3a7b0d5 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Grounded sam: Assembling open-world models for diverse visual tasks,

Reference 24

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Observation a4593b8d-a898-48e5-ae36-1106adcc444a · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting High-resolution image synthesis with latent diffusion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:37.041117Z

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Observation af4feec8-a447-4250-8726-5f2557690626 · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 26

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Observation d50df278-8d55-4525-8dd7-760c55fddf6b · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Photorealistic text-to-image diffusion models with deep language understanding

Reference 27

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Observation 021b044c-be0b-4d31-bb12-186bb536ce76 · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 28

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Observation 1d7a29ca-e4b4-475a-89ed-dc5199b7a6ab · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 29

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Observation 3dac835f-1ca7-4c4f-baa7-5fcfdfc66acb · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Deep unsupervised learning using nonequilibrium thermodynamics

Reference 30

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Observation 0ff357ea-02dd-495b-a5c6-a5aba7f68d00 · outbound

This paper cites Measuring Style Similarity in Diffusion Models.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Measuring Style Similarity in Diffusion Models

Reference 31

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Source-reported events for the cited work

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Observation f5edcb00-cd82-476d-a6a4-a18f06a92d70 · outbound

This paper cites Denoising Diffusion Implicit Models.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Denoising Diffusion Implicit Models

Reference 32

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Observation 1a950043-6e13-4496-a8f4-d2594b8618b4 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Generative modeling by esti- mating gradients of the data distribution

Reference 33

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Observation 5f10836f-00ae-42d3-a7df-870a670f7c85 · outbound

This paper cites Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:36.702271Z

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Observation d612582c-892e-4adf-bd4c-6c3e7ff27221 · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Stylediffusion: Controllable disentangled style transfer via diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:36.549017Z

Source-reported events for the cited work

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Observation 3b2d9b4f-115f-41d5-8090-5b94ea438653 · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 36

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Observation 97f8aa24-70c7-4206-b447-d9f081659ff9 · outbound

This paper cites Not only generative art: Stable diffusion for content-style disentangle- ment in art analysis.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Not only generative art: Stable diffusion for content-style disentangle- ment in art analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:36.318720Z

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Observation 6062c201-6ca5-41be-8fbd-2e33c0887e4a · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:36.202135Z

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Observation b9e534fe-24de-4147-ac78-819fc66ffa18 · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:36.038709Z

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Observation fb483cac-cc05-4eb1-8e34-344d78e1b77a · outbound

This paper cites Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:35.855125Z

Source-reported events for the cited work

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Observation 2a873fc0-fa0d-4890-a428-c9f375998813 · outbound

This paper cites Zero-shot contrastive loss for text-guided diffusion image style transfer.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Zero-shot contrastive loss for text-guided diffusion image style transfer

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:35.719301Z

Source-reported events for the cited work

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Observation 131db759-cc02-4be6-8096-0a0de12ae9d2 · outbound

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

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Adding conditional control to text-to-image diffusion models

Reference 42

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Observation 6c98a1a0-ed4c-4732-b2d3-eff992633a92 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting The unreasonable effectiveness of deep features as a perceptual metric

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:44:34.882407Z

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Observation dd9494ce-6dff-4f59-9a7d-81873b8e2efa · outbound

This paper cites Inversion-based style transfer with diffusion models.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Inversion-based style transfer with diffusion models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:44:35.492420Z

Source-reported events for the cited work

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Observation ae7027e2-80bd-47e8-b929-1189aee84eaf · outbound

This paper cites A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:44:35.062271Z

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Pith citing papers

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