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Paper Citation Record · LEDGER

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.10743.

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

pith.paper-citation-record.v1
2505.10743 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:06:44.471345Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

35 of 35 outbound references displayed

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  • unresolved35
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External citation measurements

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Outbound references

Observation 15df8658-24fa-489d-b412-b313f8514879 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

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Observation 472b20d6-ff5e-4b18-8da3-6a285ab84875 · outbound

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

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Observation 6497fd6b-d566-4886-974a-d885aee770d4 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

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Observation b3ffee24-ef5d-4bfb-af4e-dcff81ba53df · outbound

This paper cites Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila

Reference 10

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Observation 0b32d475-b561-4136-b0c3-ee08a0fd3a23 · outbound

This paper cites an unresolved cited work.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-15T21:06:44.395788Z digest=sha256:52a6efb8dffe1d94b531a75a17b3eb3b8b86d87f4d0bb266a0bdc7b0d45c1e4c

Observation bf9fd8b0-d376-4154-9c8b-8c6b44339ce4 · outbound

This paper cites Alias-Free Generative Adversarial Networks.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Alias-Free Generative Adversarial Networks

Reference 12

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Observation b9db18d2-244f-490d-bcdf-cf09c82636dd · outbound

This paper cites Segment Anything.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Segment Anything

Reference 13

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source=pdf_text observed=2026-08-15T21:06:44.402284Z digest=sha256:3555e167f0dc0d7dad7c7c587d5dc4aeceae7ddf7f24d8cf1f76e7d3d4c3feae

Observation 26c52e85-3c3b-4d44-b554-24b18721f3f9 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 14

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source=pdf_text observed=2026-08-15T21:06:44.405276Z digest=sha256:968d7f51fbb6cbe3a8ebc1757390993af5d97f90b0e8e4dcf6d306291fd9003c

Observation f06d1d87-51b5-495f-90ce-8d8d6b13b0a2 · outbound

This paper cites Cones: Concept Neurons in Diffusion Models for Customized Generation.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Cones: Concept Neurons in Diffusion Models for Customized Generation

Reference 15

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source=pdf_text observed=2026-08-15T21:06:44.408647Z digest=sha256:edb0e79551809ce5bcb2a8512a72f61ded5ac26dbb25f150aefa60e0a72d41b7

Observation 10358eea-a92d-454d-9b1c-619e33027748 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Improved Denoising Diffusion Probabilistic Models

Reference 18

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Observation d8d07d2d-fcea-4853-b093-377bb18e1966 · outbound

This paper cites MyStyle: A Personalized Generative Prior.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation MyStyle: A Personalized Generative Prior

Reference 19

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Observation 666a1ce6-ad0b-4c17-8c9d-cc98af039288 · outbound

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

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

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Observation 337e2f2d-2f9a-479c-9f24-ab5d72f58bbf · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Learning Transferable Visual Models From Natural Language Supervision

Reference 21

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Observation 4aa9d947-798c-4e0f-a7b6-5bbff39e8e10 · outbound

This paper cites Zero-Shot Text-to-Image Generation.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Zero-Shot Text-to-Image Generation

Reference 22

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Observation 747a0dd3-1ade-46dd-90cc-6b10523cfe0f · outbound

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

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 23

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Observation 2178cd22-4a9f-442e-bc86-349c2291ec75 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 25

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Observation 5789dafe-bb19-45c7-b297-0546c0202822 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 27

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Observation bed91aab-657e-44bc-bf5e-5f08b2c6420c · outbound

This paper cites HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Reference 28

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Observation 2223e4a7-7cda-4bb6-ad72-5d6b366db23d · outbound

This paper cites Image Super-Resolution via Iterative Refinement.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Image Super-Resolution via Iterative Refinement

Reference 29

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Observation 357b9ede-5083-43b7-b576-9b40f9b3c869 · outbound

This paper cites InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Reference 31

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Observation eb3ea67a-5265-4083-84c4-fb46e6f58ec7 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 32

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Observation 21589c2d-27e3-408b-8d76-23d6458fb8ea · outbound

This paper cites Denoising Diffusion Implicit Models.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Denoising Diffusion Implicit Models

Reference 33

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Observation a76b4593-f97a-4eb2-bfe4-e4e1f2e95ebe · outbound

This paper cites Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting

Reference 34

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Observation ebe5de2b-8b47-4fd7-bf03-35e7cbfacbc3 · outbound

This paper cites Forgedit: Text Guided Image Editing via Learning and Forgetting.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Forgedit: Text Guided Image Editing via Learning and Forgetting

Reference 35

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Observation dc37d303-9df4-4b5d-a7e7-40a7505c39d9 · outbound

This paper cites completely blind.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation completely blind

Reference 2012

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Observation c5c2617d-1aee-4b7a-953f-659b225a1b43 · outbound

This paper cites an unresolved cited work.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Unresolved cited work

Reference 2013

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Observation d0c5da51-11e3-434e-a1f5-cb8cf448be47 · outbound

This paper cites Generative Adversarial Networks.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Generative Adversarial Networks

Reference 2014

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Observation 6d15d24c-b2d7-4b2e-8e95-3d2a50edc4e8 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2015

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Observation 455f48f2-b0b2-48e3-ac96-2921f8c14e33 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 2019

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Observation 7e780fc1-1a7b-421b-9680-6d8a9661c9cd · outbound

This paper cites Denoising Diffusion Probabilistic Models.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Denoising Diffusion Probabilistic Models

Reference 2020

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Observation f0c40c19-54e3-4a82-be4e-9f3b47be4e58 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Emerging Properties in Self-Supervised Vision Transformers

Reference 2021

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Observation 3d41cc41-bbe7-4d28-8bbb-2442384e0cd4 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 2022

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Observation 4b93ca34-00f3-4f49-aa6f-cb0bacb2aa0b · outbound

This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation InstructPix2Pix: Learning to Follow Image Editing Instructions

Reference 2023

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Observation 6b2c4936-0aa0-4a3f-9f00-109c86f6e257 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 2024

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Observation e4ff8042-b9ff-439f-8ef1-f3d528aade30 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 2025

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Pith citing papers

No inbound Pith citation observations are available.