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Paper Citation Record · LEDGER

Real-time Identity Defenses against Malicious Personalization of Diffusion Models

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 6 inbound Pith citation observations for arXiv:2412.09844.

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

pith.paper-citation-record.v1
2412.09844 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:46:24.582584Z

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One-hop event checks from named stored sources.

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measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:34:21.340309Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.593658Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 7f968397-b793-41a8-bbd7-30cc80ea94ce · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Zero-shot text-to-image generation

Reference 1

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Observation da90b3f6-49ed-47f9-8cbc-2d3e6269770f · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models High- resolution image synthesis with latent diffusion models

Reference 2

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Observation c3c794ec-714d-406e-bdc3-4bda406fa802 · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 3

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Observation 2855c00e-4d8c-4a20-83a4-c969260c0a17 · outbound

This paper cites Improving image generation with better captions.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Improving image generation with better captions

Reference 4

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Source-reported events for the cited work

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Observation dfdfa86a-c33e-435f-8fda-02523f5d7366 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 5

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Observation c989cab1-db61-4451-bc93-c78994bea2c0 · outbound

This paper cites Scaling rectified flow transform- ers for high-resolution image synthesis.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Scaling rectified flow transform- ers for high-resolution image synthesis

Reference 6

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Observation 6726a868-5b30-44f8-8785-460ca3cc08aa · outbound

This paper cites Multi- concept customization of text-to-image diffusion.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Multi- concept customization of text-to-image diffusion

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 7a032af3-cfca-4b4a-b0b1-f5567e50f9cf · outbound

This paper cites DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter

Reference 8

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Source-reported events for the cited work

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Observation d5a58e87-c6a9-48f0-b9cf-de6ea0ed0d80 · outbound

This paper cites Svdiff: Compact parameter space for diffusion fine-tuning.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Svdiff: Compact parameter space for diffusion fine-tuning

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 19217631-009d-4910-b18a-eefe19ae5266 · outbound

This paper cites A Closer Look at Parameter-Efficient Tuning in Diffusion Models.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models A Closer Look at Parameter-Efficient Tuning in Diffusion Models

Reference 10

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Observation 22d81667-fe98-418e-a9a0-192e3ee34237 · outbound

This paper cites Fast- composer: Tuning-free multi-subject image generation with localized attention.International Journal of Computer Vision, pages 1–20, 2024.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Fast- composer: Tuning-free multi-subject image generation with localized attention.International Journal of Computer Vision, pages 1–20, 2024

Reference 11

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Source-reported events for the cited work

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Observation bc02cb10-7a7d-4248-8404-1a7d7b5887dd · outbound

This paper cites FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content

Reference 12

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Observation 2e67ff9c-b033-4f69-a1e8-60d3cf1121cb · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine Intelligence, 5(3):220–235, 2023.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine Intelligence, 5(3):220–235, 2023

Reference 13

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Observation 84fff8b2-d8ba-4a6b-b7b6-770a64770407 · outbound

This paper cites https://huggingface.co/runwayml/stable-diffusion-v1-5.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models https://huggingface.co/runwayml/stable-diffusion-v1-5

Reference 14

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Source-reported events for the cited work

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Observation 8ffaf58f-9552-4398-84f5-8937c8fd015a · outbound

This paper cites https://huggingface.co/stabilityai/stable-diffusion-2-1-base.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models https://huggingface.co/stabilityai/stable-diffusion-2-1-base

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 7018cd11-bb5f-40ee-b64c-7ea7754e2854 · outbound

This paper cites Glaze: Protecting artists from style mimicry bytText-to-Imageu models.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Glaze: Protecting artists from style mimicry bytText-to-Imageu models

Reference 16

Resolution
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Source-reported events for the cited work

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Observation b9bbdd0e-d86f-464d-a1ab-94070e5aaac1 · outbound

This paper cites Adversarial example does good: Preventing painting imita- tion from diffusion models via adversarial examples.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Adversarial example does good: Preventing painting imita- tion from diffusion models via adversarial examples

Reference 17

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Source-reported events for the cited work

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Observation 48415f69-d07f-4db7-b2c8-af1981005c5e · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 18

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Observation 0d5eeb75-fd6a-4632-9772-d7d5c439f9f8 · outbound

This paper cites Anti-dreambooth: Protecting users from personalized text-to-image synthesis.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Anti-dreambooth: Protecting users from personalized text-to-image synthesis

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 712ca5a2-2252-4bb3-b2aa-0d8fd54a8a69 · outbound

This paper cites SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models

Reference 20

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Observation 6759bc09-72b6-463b-a91a-1932a788e470 · outbound

This paper cites Rais- ing the cost of malicious ai-powered image editing.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Rais- ing the cost of malicious ai-powered image editing

Reference 21

Resolution
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Source-reported events for the cited work

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Observation 4d128870-8a97-4fb8-9299-7d32bed8f2e7 · outbound

This paper cites Explaining and harnessing adver- sarial examples.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Explaining and harnessing adver- sarial examples

Reference 22

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Source-reported events for the cited work

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Observation 9aaa98b4-1d1e-474e-a89a-6ce6807dbb3f · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020

Reference 23

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Observation 2426d2fd-b3d8-4af1-8662-3dc2ac05c952 · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Dreamfusion: Text-to-3d using 2d diffusion

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 6018a1c3-3940-4a7e-bdb9-3cf65e43d389 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Very deep convolutional networks for large-scale image recognition

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e254f545-a35f-470a-b35b-785d03707d56 · outbound

This paper cites Sim- swap++: Towards faster and high-quality identity swapping.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Sim- swap++: Towards faster and high-quality identity swapping.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

Reference 26

Resolution
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Source-reported events for the cited work

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Observation 696c8780-c27a-4af1-a74a-1b3b6e1f42b2 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Progressive growing of gans for improved quality, stability, and variation

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation cb5887b1-11f8-43fd-ac09-6a6298e1b2fd · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 60894fbc-05e5-426f-976c-240f273afc7f · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 7b93c2fe-e8c5-45c5-9c96-921a0801a8d1 · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Lora: Low-rank adaptation of large language models

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 5a0faff9-2924-4c36-b444-f2e0aa178361 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 6c479882-5b61-4c5f-a1d1-0c63040f9c0b · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Arcface: Additive angular margin loss for deep face recognition

Reference 32

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Source-reported events for the cited work

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Observation 78442eae-459b-4f59-aca5-84ad3894b3e3 · outbound

This paper cites No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12):4695–4708, 2012.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12):4695–4708, 2012

Reference 33

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Source-reported events for the cited work

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Observation fe2e6043-e830-4a6b-b0eb-88c054389e50 · outbound

This paper cites Ensemble adversarial training: Attacks and defenses.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Ensemble adversarial training: Attacks and defenses

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:46:24.539309Z digest=sha256:bdab38728d4afb7e399b8583d078b4a4d95074a9400aa231977fa00822f011b3

Observation 7ebc60c5-d7be-4470-8f1e-93d5cf1515f4 · outbound

This paper cites https://civitai.com/models/4201?modelVersionId=501240.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models https://civitai.com/models/4201?modelVersionId=501240

Reference 35

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raw_fallback, observed 2026-08-11T16:46:24.778800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:46:24.544416Z digest=sha256:88bc0e8fa20ff8f80971be807b0d5266f76198987e3af92012f2896c05ef754d

Observation 08dcea24-3115-438b-b269-ba428be1f55b · outbound

This paper cites Countering ad- versarial images using input transformations.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Countering ad- versarial images using input transformations

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-11T16:46:24.767107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:46:24.548788Z digest=sha256:9c78495607e7d3cb7b05986d99b3a49ff9a86d63d3a65963510255d1ed3e7094

Observation c590db16-98ae-4d58-bca7-362703a492d4 · outbound

This paper cites Diffusion models for adversarial purification.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Diffusion models for adversarial purification

Reference 37

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unresolved
no resolver link, observed 2026-08-11T16:46:24.552887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:46:24.552887Z digest=sha256:6b95e0063e3a25592840ad42afdc69039f40d0455eda4bcb69a60230d67e2956

Observation cf8ea721-64c9-47d5-b759-cc15e8c86853 · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T16:46:24.557284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:46:24.557284Z digest=sha256:73348117e1c09ca245fb672c36e9f2ccbfe58d3478f17025ca69364982f966b0

Observation 18bf4b2a-4b86-4960-9db2-d9aa46743459 · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T16:46:24.561708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:46:24.561708Z digest=sha256:ee8b9ae7e0734ff5d6e77b8bb60b96456b7eb847326c21971c1aa7e4dbe09c64

Observation 17be8c35-3aeb-4fd2-9e1a-69c90c98cabc · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T16:46:24.566406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:46:24.566406Z digest=sha256:36cdd213ceebe49812fad818b65de8f4ce732a2003b43925ca8607caadabc677

Observation 2a0dbd1a-e812-4a9d-92f5-976e49f9237e · outbound

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

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Score-based generative modeling through stochastic differential equations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:46:24.739993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:46:24.570497Z digest=sha256:4890ecb549f30d3209551147ab7d05e2a29917052a60a5b9a7e1f983f3146173

Observation 9fa926d9-5227-4543-9629-33c06a32f2d4 · outbound

This paper cites Differentiable image parameterizations.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Differentiable image parameterizations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:46:24.726378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:46:24.574402Z digest=sha256:a9277865ea7b04b6a8da26bc529b7542ad878e7e778ac24435ab85bfb45c28ed

Observation f3c62adc-7856-4743-bd39-d5e026d25855 · outbound

This paper cites Scalable diffusion models with transformers.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Scalable diffusion models with transformers

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T16:46:24.578648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:46:24.578648Z digest=sha256:ea33252f427e6e53422d79b4cd836a97198d2c05fac1261cee0b9e403720688c

Observation 12189c73-20d9-4bb5-bd7c-a9cc0833653b · outbound

This paper cites Re- thinking the inception architecture for computer vision.

Real-time Identity Defenses against Malicious Personalization of Diffusion Models Re- thinking the inception architecture for computer vision

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:46:24.705470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T16:46:24.582584Z digest=sha256:2cf01bb6beeb495f551c9f83daa6ec0bbe47881d23dfb09955670a1f97700dbc

Pith citing papers

Observation cb5db6db-aff2-4a77-a205-7c7397ecca8f · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing Real-time Identity Defenses against Malicious Personalization of Diffusion Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:27.547902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T08:00:33.307429Z digest=sha256:7fcf370a6b713a237b82b497b1e9acfbfb657c40ebbf8e873edc7eb294bda3c6

Observation 1b305c07-0fd7-4292-83aa-d74922e38ecc · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing Real-time Identity Defenses against Malicious Personalization of Diffusion Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:14:05.979382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T09:11:02.183133Z digest=sha256:38897660f81e100b2dc703e48a2a84fd042503debfd56817da70bb429fa7500f

Observation 8dcbe8e9-03d9-4b7f-8846-1516d925ba74 · inbound

Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction cites this paper.

Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction Real-time Identity Defenses against Malicious Personalization of Diffusion Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:33:58.705807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T05:30:59.903879Z digest=sha256:be300759d609deabe3ea624e439c1feb532a325bcad6f035d26cfa24a0227c4a

Observation fd09a36c-01f9-4835-9656-4cdec9a2fc03 · inbound

Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction cites this paper.

Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction Real-time Identity Defenses against Malicious Personalization of Diffusion Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T13:34:21.340309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:34:21.340309Z digest=sha256:ec910404601413f05a701ead2c62094977192e4316f9b753644bb7a0d58a8ae0

Observation 170f1313-06e1-4271-91dc-ea8ad79dc4a2 · inbound

Customizing Video Portraits via Identity-ActionDecoupling cites this paper.

Customizing Video Portraits via Identity-ActionDecoupling Real-time Identity Defenses against Malicious Personalization of Diffusion Models

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:42.408122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T10:56:11.553110Z digest=sha256:28962513f581d5faf32a3a696bc925c03df3d52180ecb3636e43cdb2d94b3f42

Observation c99a0d58-ffb8-4f31-9987-60d850ddd9bc · inbound

Interest Entanglement: The Hidden Barrier to Blind Super-Resolution Optimization cites this paper.

Interest Entanglement: The Hidden Barrier to Blind Super-Resolution Optimization Real-time Identity Defenses against Malicious Personalization of Diffusion Models

Reference 116

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:42.594948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T10:53:00.139187Z digest=sha256:f50d0c03831290b1639e08e8d373da386c88a1569a10a460851496046044f685