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Paper Citation Record · LEDGER

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.09575.

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

pith.paper-citation-record.v1
2508.09575 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

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measured 34 of 34 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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34 of 34 outbound references displayed

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Outbound references

Observation 8b55ff6c-1158-40af-92b0-7851867c9c19 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 2ba987d3-cd9f-4215-92f0-8c91cbf8d4fc · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Emerg- ing properties in self-supervised vision transformers

Reference 2

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Observation e97700d5-e708-4394-9098-ecc1e6aa2562 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Arcface: Additive angular margin loss for deep face recognition

Reference 3

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Observation b0ac4411-47f3-48ad-95c8-882ddbc146c0 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Diffusion models beat gans on image synthesis

Reference 4

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Observation 1e0d5a2e-d777-4a17-be9d-d46dcf7fc9fd · outbound

This paper cites Point2Mesh: A Self-Prior for Deformable Meshes.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Point2Mesh: A Self-Prior for Deformable Meshes

Reference 5

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Observation e27f238d-a81c-4316-b27e-468f81a9a02d · outbound

This paper cites Deep residual learning for image recognition.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Deep residual learning for image recognition

Reference 6

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Observation e2d326a1-404f-4613-af6e-3a6c7c649ef3 · outbound

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 7

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Observation 64e63722-d16d-4ea4-b1b9-b8b8e607151f · outbound

This paper cites Delta de- noising score.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Delta de- noising score

Reference 8

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Observation 7d41e3fc-8af3-4f7e-a31a-ed35b6580618 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Classifier-Free Diffusion Guidance

Reference 9

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Observation 9f50aca5-a0e0-4bac-8b95-1191c17d5164 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Denoising dif- fusion probabilistic models

Reference 10

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Observation e78e1bbe-7dd3-4065-9c7d-30d1f3810bdd · outbound

This paper cites Surface reconstruction from point clouds: A survey and a benchmark.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Surface reconstruction from point clouds: A survey and a benchmark

Reference 11

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Observation 9ab91341-c682-41bb-bd25-258823c073a1 · outbound

This paper cites Identity-preserving Distillation Sampling by Fixed-Point Iterator.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Identity-preserving Distillation Sampling by Fixed-Point Iterator

Reference 12

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Observation 90a4b248-ace3-4b00-8645-4db323bf2031 · outbound

This paper cites Segment any- thing.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Segment any- thing

Reference 13

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Observation 49188990-78cf-4414-9d10-2d41ca71a62e · outbound

This paper cites Ctrl-x: Controlling structure and appearance for text-to-image generation without guidance.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Ctrl-x: Controlling structure and appearance for text-to-image generation without guidance

Reference 14

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Observation 83de5908-4a88-4d49-88bb-3cc5fa5415c0 · outbound

This paper cites Dpm-solver: A fast ode solver for diffu- sion probabilistic model sampling in around 10 steps.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Dpm-solver: A fast ode solver for diffu- sion probabilistic model sampling in around 10 steps

Reference 15

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Observation 163c87f2-31f3-4286-91e4-485a2552a85b · outbound

This paper cites Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22, 2025.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22, 2025

Reference 16

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Observation ccc9c3e6-1618-40f7-832e-18fa49fcb226 · outbound

This paper cites Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition

Reference 17

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Observation 5b568b13-e0d0-4315-86cf-f35562d172b6 · outbound

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 18

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Observation 38662c5d-aac3-4fe4-9cd5-15d1fd525144 · outbound

This paper cites Contrastive denoising score for text- guided latent diffusion image editing.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Contrastive denoising score for text- guided latent diffusion image editing

Reference 19

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Observation ca800c2b-5718-4819-95c5-8a68f91466ee · outbound

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

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Observation d5cb9e2b-0f0a-4ffb-8f4a-9d9591fdd088 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion DreamFusion: Text-to-3D using 2D Diffusion

Reference 21

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Observation b11c8fd0-2443-44c1-8ae1-698bee15675c · outbound

This paper cites UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Reference 22

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Observation 27699b31-c043-457e-96a9-79d16db0b33b · outbound

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Learning transferable visual models from natural language supervi- sion

Reference 23

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Observation 0e182c9a-83e2-4f57-bc95-223dd42ce0f9 · outbound

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion High-resolution image synthesis with latent diffusion models

Reference 24

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Observation 48235b7a-b0d1-4a7e-981b-4dcb29a0d6e5 · outbound

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 25

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Observation f184e5df-6647-491b-89c9-cccfcf09064e · outbound

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 26

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This paper cites Denoising Diffusion Implicit Models.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Denoising Diffusion Implicit Models

Reference 27

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This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Score-Based Generative Modeling through Stochastic Differential Equations

Reference 28

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Observation 9a053ff2-ead8-4b2c-8d55-395048d34a60 · outbound

This paper cites Splicing vit features for semantic appearance transfer.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Splicing vit features for semantic appearance transfer

Reference 29

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This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Plug-and-play diffusion features for text-driven image-to-image translation

Reference 30

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This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 31

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

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Adding conditional control to text-to-image diffusion models

Reference 32

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This paper cites Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Unipc: A unified predictor-corrector framework for fast sampling of diffusion models

Reference 33

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Observation 5363355b-cb0c-4a89-8938-48f90ae8fcbf · outbound

This paper cites Thingi10K: A Dataset of 10,000 3D-Printing Models.

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion Thingi10K: A Dataset of 10,000 3D-Printing Models

Reference 34

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Pith citing papers

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