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Paper Citation Record · LEDGER

PLA: Prompt Learning Attack against Text-to-Image Generative Models

As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.03696.

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

pith.paper-citation-record.v1
2508.03696 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:52.464160Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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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  • verified fuzzy31
  • unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 063901a5-f083-4d37-979a-23aac4fdc43d · outbound

This paper cites Available: https://openai.com/index/ dall-e-3/.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https://openai.com/index/ dall-e-3/

Reference 1

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Observation a1626c68-efef-4b1c-b3c5-2080fb5e9dd0 · outbound

This paper cites Available: https://openai.com/index/ gpt-4/.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https://openai.com/index/ gpt-4/

Reference 2

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7a270a45-246f-4d71-9b1a-089d4052125f · outbound

This paper cites Available: https : / / runwayml.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https : / / runwayml

Reference 3

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Observation 493c9c2b-ba86-4573-bd9f-b79e1dac2601 · outbound

This paper cites Available: https://designer.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https://designer

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2d42bdc9-2ccb-4c60-b344-ba5177e4811f · outbound

This paper cites Available: https://www.midjourney.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https://www.midjourney

Reference 5

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 41a0b158-4aed-47c7-9531-c9ff179f7037 · outbound

This paper cites Available: https://github.com/PixArt- alpha/PixArt-alpha.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https://github.com/PixArt- alpha/PixArt-alpha

Reference 6

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Source-reported events for the cited work

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Observation faf69e01-7acb-4db8-98b0-3830e3df243c · outbound

This paper cites Available: https:// huggingface.co/CompVis/stable-diffusion- v1-4.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https:// huggingface.co/CompVis/stable-diffusion- v1-4

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c3438bb7-748a-4e3c-ba14-89646d1d4b0e · outbound

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

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https: //huggingface.co/stable- diffusion- v1- 5/ stable-diffusion-v1-5

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a995a7d2-0e47-4d68-85b6-3dfe54f9f09d · outbound

This paper cites Available: https://stability.ai/.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Available: https://stability.ai/

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8c03a571-4072-4ece-9fa7-e8be4a1c272f · outbound

This paper cites DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training.

PLA: Prompt Learning Attack against Text-to-Image Generative Models DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 10

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Source-reported events for the cited work

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Observation 4489bc2a-d1bd-464d-b9c9-bb36e3b0ac33 · outbound

This paper cites Zoo: Zeroth order optimization based black- box attacks to deep neural networks without training substi- tute models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Zoo: Zeroth order optimization based black- box attacks to deep neural networks without training substi- tute models

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 38f51d3d-72d3-4e0c-959d-5ddbe45480ab · outbound

This paper cites Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization.Ad- vances in neural information processing systems , 32, 2019.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization.Ad- vances in neural information processing systems , 32, 2019

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3849baf5-7b27-45b4-8d63-568e1f19d147 · outbound

This paper cites Gradient-based optimizer (gbo): a review, theory, variants, and applications.Archives of Com- putational Methods in Engineering, 30(4):2431–2449, 2023.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Gradient-based optimizer (gbo): a review, theory, variants, and applications.Archives of Com- putational Methods in Engineering, 30(4):2431–2449, 2023

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e31b2771-688a-4e1e-b712-85fb672ac015 · outbound

This paper cites Erasing concepts from diffusion models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Erasing concepts from diffusion models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 690ce41f-88dc-4f37-be3a-9deb043dfd07 · outbound

This paper cites Denoising dif- fusion probabilistic models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Denoising dif- fusion probabilistic models

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8870deda-0e87-457b-a5dc-aa444899c629 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 16

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9272964f-f1a3-43c9-960d-f4f890befda1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Adam: A Method for Stochastic Optimization

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 4cec8742-fc15-46d3-8b6f-c238782b0023 · outbound

This paper cites Ablating con- cepts in text-to-image diffusion models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Ablating con- cepts in text-to-image diffusion models

Reference 18

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Source-reported events for the cited work

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Observation bebe9a38-c3b0-47c3-b839-9ee8559b4b36 · outbound

This paper cites Holis- tic evaluation of text-to-image models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Holis- tic evaluation of text-to-image models

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 692ee038-a9c7-4109-823c-691f454bcc42 · outbound

This paper cites Adversarial example does good: Preventing paint- ing imitation from diffusion models via adversarial exam- ples.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Adversarial example does good: Preventing paint- ing imitation from diffusion models via adversarial exam- ples

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e1dadfd2-59c9-425c-a3a1-3165ec49412a · outbound

This paper cites Riatig: Reliable and imperceptible adversarial text- to-image generation with natural prompts.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Riatig: Reliable and imperceptible adversarial text- to-image generation with natural prompts

Reference 21

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Source-reported events for the cited work

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Observation 1221ac06-09d5-47d5-9c54-78ff6db22c40 · outbound

This paper cites Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 39a5d987-e454-4bc9-a1b1-8daa0901da5c · outbound

This paper cites Latent Guard: a Safety Framework for Text-to-image Generation.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Latent Guard: a Safety Framework for Text-to-image Generation

Reference 23

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Observation 00f538af-167f-487f-b98b-73a90d838be9 · outbound

This paper cites Black box adversarial prompting for foundation models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Black box adversarial prompting for foundation models

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 92a23aba-3783-4918-9459-625d388e01f1 · outbound

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

PLA: Prompt Learning Attack against Text-to-Image Generative Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9f0d8cf7-f718-4853-93ae-bab2b60daf42 · outbound

This paper cites Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e58977e1-2072-460b-ab1a-3185514cdfdf · outbound

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

PLA: Prompt Learning Attack against Text-to-Image Generative Models Learning transferable visual models from natural language supervi- sion

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 928aeee2-c7ab-4f5d-bdd4-23b6b151e7e7 · outbound

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

PLA: Prompt Learning Attack against Text-to-Image Generative Models Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d30b25dc-9f4c-4de3-884c-2cbb25a12374 · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Red-Teaming the Stable Diffusion Safety Filter

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 77cf377b-f499-45c1-a775-ea4f0e1c4724 · outbound

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

PLA: Prompt Learning Attack against Text-to-Image Generative Models High-resolution image synthesis with latent diffusion models

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b9f2733e-4ceb-4644-93b3-add87972ef67 · outbound

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

PLA: Prompt Learning Attack against Text-to-Image Generative Models Photorealistic text-to-image diffusion models with deep language understanding

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a8876b3f-0ae2-4432-9a6f-67b8793c711c · outbound

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

PLA: Prompt Learning Attack against Text-to-Image Generative Models Raising the cost of malicious ai-powered image editing

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e0706ea0-663b-4d2a-86f8-8584b6e9fbb4 · outbound

This paper cites an unresolved cited work.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 45e93b59-e40b-492a-a431-769583854207 · outbound

This paper cites Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T17:42:54.140158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 467330f9-236a-4507-820c-1edc63c5f567 · outbound

This paper cites Introduction to stochastic search and opti- mization: estimation, simulation, and control.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Introduction to stochastic search and opti- mization: estimation, simulation, and control

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:53.961806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T17:42:51.631335Z digest=sha256:8a02e7251fde8832890ef2ba4e325416cb15685ff05c951f5c3d826b8d901ee3

Observation b6ae0261-a326-439a-81f2-36746eea530e · outbound

This paper cites Stochastic gradient descent as approximate bayesian infer- ence.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Stochastic gradient descent as approximate bayesian infer- ence

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:53.819640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T17:42:51.769123Z digest=sha256:e8e7ce43a12e32dd32347b028533eaf5122d73325479d94eecfc09b7289225b0

Observation aa34c804-60ad-44a6-85b8-d1126ef0dd81 · outbound

This paper cites Ring-a-bell! how reliable are concept removal methods for diffusion models? In International Conference on Learning Representations, 2024.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Ring-a-bell! how reliable are concept removal methods for diffusion models? In International Conference on Learning Representations, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:53.723429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e50eaccb-ada0-4b20-95ce-25a54e47e21b · outbound

This paper cites Mma-diffusion: Multimodal attack on diffusion models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Mma-diffusion: Multimodal attack on diffusion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:53.565636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T17:42:52.032967Z digest=sha256:e5dc3e61a8dfad284f175a8bf5b84b496588b6d018cb40357f377b3eeb023fa3

Observation c80bec2f-1902-442b-89c8-b6d8dbb8a43c · outbound

This paper cites GuardT2I: Defending Text-to-Image Models from Adversarial Prompts.

PLA: Prompt Learning Attack against Text-to-Image Generative Models GuardT2I: Defending Text-to-Image Models from Adversarial Prompts

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:42:52.628693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 366d2565-c5ae-470b-919a-d9b275359518 · outbound

This paper cites Sneakyprompt: Jailbreaking text-to-image generative models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Sneakyprompt: Jailbreaking text-to-image generative models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:53.418154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T17:42:52.188077Z digest=sha256:d807ff8875fbb23e0361a9954b72f55090c7f0d6789d3d1998f48ef72dd86b6e

Observation d2aa8b83-e33c-408a-8983-92714e29458d · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:53.250004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T17:42:52.230415Z digest=sha256:9ba60b68c0adb5d757911f6d9e4318ad662bf4af6e3287fa6b3a84ab585f269d

Observation 5ee77b2b-2460-49c1-a2a4-5bcd26ac6466 · outbound

This paper cites On the Robustness of Latent Diffusion Models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models On the Robustness of Latent Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T17:42:52.277702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:52.277702Z digest=sha256:dcbe6276563196ad5cb31443e99a9308123069f1b364f0c1d38131960951a166

Observation 615fcfd1-3c5e-437e-a0ae-cc0ac3553150 · outbound

This paper cites To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now.

PLA: Prompt Learning Attack against Text-to-Image Generative Models To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T17:42:52.349485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:42:52.349485Z digest=sha256:12353c76a6d9bd9777cfafb1f1ad33757ce888c015d36612355ca0d76e6f547a

Observation 94b28126-2f9f-4dc8-897f-09e5a25baa82 · outbound

This paper cites Random learn- ing gradient based optimization for efficient design of photo- voltaic models.

PLA: Prompt Learning Attack against Text-to-Image Generative Models Random learn- ing gradient based optimization for efficient design of photo- voltaic models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:53.118301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T17:42:52.383644Z digest=sha256:dabc1c84808a69e96a88f1225d1430e84543207eb2dae9b724ba85dc00deb89a

Observation 915b913b-1088-43fa-98bf-99b78b17c389 · outbound

This paper cites A pilot study of query-free adversarial attack against stable diffusion.

PLA: Prompt Learning Attack against Text-to-Image Generative Models A pilot study of query-free adversarial attack against stable diffusion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:42:52.996915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T17:42:52.464160Z digest=sha256:61a558288d1778319734bce4f39b106de62596665d96d360d9800f8ca2c06cf9

Pith citing papers

No inbound Pith citation observations are available.