Paper Citation Record · LEDGER

Continuous Concepts Removal in Text-to-image Diffusion Models

As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 4 inbound Pith citation observations for arXiv:2412.00580.

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

pith.paper-citation-record.v1
2412.00580 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:39.687094Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T09:16:59.472185Z

Reference resolution

53 of 53 outbound references displayed

verified exact3
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External citation measurements

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Outbound references

Observation f72c64ae-ed83-4cbe-9aec-43085e93b672 · outbound

This paper cites https : / / github.

Continuous Concepts Removal in Text-to-image Diffusion Models https : / / github

Reference 1

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Observation 0d2c085b-d4fe-4ada-9ab6-990d63ca7590 · outbound

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

Continuous Concepts Removal in Text-to-image Diffusion Models https://www.midjourney.com/

Reference 2

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Observation c0837b97-eecc-44c7-8bf4-9f2790fdc295 · outbound

This paper cites DALL-E 2 preview - risks and limitations.

Continuous Concepts Removal in Text-to-image Diffusion Models DALL-E 2 preview - risks and limitations

Reference 3

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Observation dbd5dc02-4d39-4a2b-b7d1-b873fa37cd93 · outbound

This paper cites Genetic algorithms: Theory, genetic operators, solutions, and applications.

Continuous Concepts Removal in Text-to-image Diffusion Models Genetic algorithms: Theory, genetic operators, solutions, and applications

Reference 4

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Observation 0dd1227e-93cb-402a-85ec-01548dd191f0 · outbound

This paper cites Mean square error of prediction as a criterion for selecting variables.

Continuous Concepts Removal in Text-to-image Diffusion Models Mean square error of prediction as a criterion for selecting variables

Reference 5

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Observation 075052c4-9378-43f0-b0ce-9ae862b61f07 · outbound

This paper cites How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?.

Continuous Concepts Removal in Text-to-image Diffusion Models How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Reference 6

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Observation d44b977f-3eae-4187-8b03-18fb0dbd57d7 · outbound

This paper cites Improving image generation with better captions.

Continuous Concepts Removal in Text-to-image Diffusion Models Improving image generation with better captions

Reference 7

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Observation 549de651-b02f-42b2-a96d-5ac3b728a4d0 · outbound

This paper cites Extracting training data from diffu- sion models.

Continuous Concepts Removal in Text-to-image Diffusion Models Extracting training data from diffu- sion models

Reference 8

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Observation 3c1d319c-886b-4834-9ed5-3c0bbdf483c5 · outbound

This paper cites Prompting4debugging: Red- teaming text-to-image diffusion models by finding problem- atic prompts.

Continuous Concepts Removal in Text-to-image Diffusion Models Prompting4debugging: Red- teaming text-to-image diffusion models by finding problem- atic prompts

Reference 9

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Observation c561b3c6-0783-4092-b6d7-3183823145cc · outbound

This paper cites Knowledge Neurons in Pretrained Transformers.

Continuous Concepts Removal in Text-to-image Diffusion Models Knowledge Neurons in Pretrained Transformers

Reference 10

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Source-reported events for the cited work

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Observation 48e2ba20-57df-41e3-93b7-0155a9c197cb · outbound

This paper cites Erasing concepts from diffusion models.

Continuous Concepts Removal in Text-to-image Diffusion Models Erasing concepts from diffusion models

Reference 11

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Observation 2c30e00c-f9e8-4135-94b1-d8750ca665b4 · outbound

This paper cites Unified concept editing in diffusion models.

Continuous Concepts Removal in Text-to-image Diffusion Models Unified concept editing in diffusion models

Reference 12

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Observation 0e6923b1-af68-4fb1-a46c-0d4c073ab92a · outbound

This paper cites Can There be Art Without an Artist?.

Continuous Concepts Removal in Text-to-image Diffusion Models Can There be Art Without an Artist?

Reference 13

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Observation 955a5675-e493-4734-a488-accd0ed145f3 · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

Continuous Concepts Removal in Text-to-image Diffusion Models Clipscore: A reference-free evaluation met- ric for image captioning

Reference 14

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Observation 64f18b18-35c3-4a7d-9bfe-a448d29b4f9d · outbound

This paper cites Genetic algorithms.

Continuous Concepts Removal in Text-to-image Diffusion Models Genetic algorithms

Reference 15

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Observation c09565d9-e8ec-4d6a-917d-fea56c4d08f8 · outbound

This paper cites Training generative adver- sarial networks with limited data.

Continuous Concepts Removal in Text-to-image Diffusion Models Training generative adver- sarial networks with limited data

Reference 16

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Observation edffeb4b-e86d-4e87-947c-8fa4c7c3e6ef · outbound

This paper cites Out- fox: Llm-generated essay detection through in-context learn- ing with adversarially generated examples.

Continuous Concepts Removal in Text-to-image Diffusion Models Out- fox: Llm-generated essay detection through in-context learn- ing with adversarially generated examples

Reference 17

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Observation de900526-1369-4b74-a350-d4fb11b6e418 · outbound

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

Continuous Concepts Removal in Text-to-image Diffusion Models Ablating con- cepts in text-to-image diffusion models

Reference 18

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Observation 7db3c8f9-8a83-4405-9053-5e589acf615d · outbound

This paper cites Controllable text-to-image generation.

Continuous Concepts Removal in Text-to-image Diffusion Models Controllable text-to-image generation

Reference 19

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Observation 29714d96-21a4-4578-acbe-42ada2ccac82 · outbound

This paper cites Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models.

Continuous Concepts Removal in Text-to-image Diffusion Models Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models

Reference 20

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Observation 9b06e5ab-fa74-4346-8d80-deb8dbce19ec · outbound

This paper cites Towards faster and stabilized gan training for high- fidelity few-shot image synthesis.

Continuous Concepts Removal in Text-to-image Diffusion Models Towards faster and stabilized gan training for high- fidelity few-shot image synthesis

Reference 21

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Observation a0555a14-6700-46db-8a89-f1155df13de4 · outbound

This paper cites Grace: Empowering llm-based software vulnera- bility detection with graph structure and in-context learning.

Continuous Concepts Removal in Text-to-image Diffusion Models Grace: Empowering llm-based software vulnera- bility detection with graph structure and in-context learning

Reference 22

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Observation 25f654d0-c6cb-4b01-94c5-6b101e634381 · outbound

This paper cites Mace: Mass concept erasure in diffu- sion models.

Continuous Concepts Removal in Text-to-image Diffusion Models Mace: Mass concept erasure in diffu- sion models

Reference 23

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Observation 700f03fd-cc2e-4d8d-a763-2d092a2449f7 · outbound

This paper cites One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications.

Continuous Concepts Removal in Text-to-image Diffusion Models One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications

Reference 24

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Observation dfd4576a-8042-44cd-bae0-c0d5b219de1a · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Continuous Concepts Removal in Text-to-image Diffusion Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 25

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Observation 8249c84c-2d7b-472d-837f-44bf57d3b8df · outbound

This paper cites Few-shot 9 image generation via cross-domain correspondence.

Continuous Concepts Removal in Text-to-image Diffusion Models Few-shot 9 image generation via cross-domain correspondence

Reference 26

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Observation 828d4f97-f7d9-4b05-ad41-3217ec5619d9 · outbound

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

Continuous Concepts Removal in Text-to-image Diffusion Models Zero-shot text-to-image generation

Reference 27

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This paper cites Generative ad- versarial text to image synthesis.

Continuous Concepts Removal in Text-to-image Diffusion Models Generative ad- versarial text to image synthesis

Reference 28

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Observation fc4ca9ba-5adf-4c32-9ac9-b25ab1ef8f7f · outbound

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Continuous Concepts Removal in Text-to-image Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 29

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Observation 2e3699ae-4b1f-430f-9a67-2c9aa1ae190c · outbound

This paper cites An ai-generated picture won an art prize.

Continuous Concepts Removal in Text-to-image Diffusion Models An ai-generated picture won an art prize

Reference 30

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Observation fb9462b8-d691-44bd-b9ea-43b93e5ba05b · outbound

This paper cites Imagenet large scale visual recognition challenge.

Continuous Concepts Removal in Text-to-image Diffusion Models Imagenet large scale visual recognition challenge

Reference 31

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Observation 6bd22000-0833-4a78-85ff-96bd55c937d5 · outbound

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

Continuous Concepts Removal in Text-to-image Diffusion Models Photorealistic text-to-image diffusion models with deep language understanding

Reference 32

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Continuous Concepts Removal in Text-to-image Diffusion Models Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models

Reference 33

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Observation 0565f617-aadb-41d5-a460-0d9acc74e016 · outbound

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

Continuous Concepts Removal in Text-to-image Diffusion Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 34

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Observation 324d7abb-bdea-44a0-8576-2e76d42b64b4 · outbound

This paper cites Ai art generators hit with copyright suit over artists’ images.

Continuous Concepts Removal in Text-to-image Diffusion Models Ai art generators hit with copyright suit over artists’ images

Reference 35

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Observation 8dd35005-2858-4c92-8d14-17e855fd267c · outbound

This paper cites De-fake: Detection and attribution of fake images generated by text- to-image generation models.

Continuous Concepts Removal in Text-to-image Diffusion Models De-fake: Detection and attribution of fake images generated by text- to-image generation models

Reference 36

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Observation 0e598348-6ad1-4332-ac64-a5d89064f391 · outbound

This paper cites Training region-based object detectors with online hard ex- ample mining.

Continuous Concepts Removal in Text-to-image Diffusion Models Training region-based object detectors with online hard ex- ample mining

Reference 37

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Observation fd664fa3-3818-43e4-8af7-41158d842d4a · outbound

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Continuous Concepts Removal in Text-to-image Diffusion Models Consistency Models

Reference 38

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Observation fed48ce3-8df0-4543-bdef-1d3c43c23c43 · outbound

This paper cites The biased artist: Exploiting cultural biases via homo- glyphs in text-guided image generation models.

Continuous Concepts Removal in Text-to-image Diffusion Models The biased artist: Exploiting cultural biases via homo- glyphs in text-guided image generation models

Reference 39

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Observation bf18aadc-231c-40f6-b791-25b0a375fb0b · outbound

This paper cites Mini-batch primal and dual methods for svms.

Continuous Concepts Removal in Text-to-image Diffusion Models Mini-batch primal and dual methods for svms

Reference 40

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Observation 50bad545-d919-40c8-90a1-4e65b534b31c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Continuous Concepts Removal in Text-to-image Diffusion Models LLaMA: Open and Efficient Foundation Language Models

Reference 41

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Continuous Concepts Removal in Text-to-image Diffusion Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 42

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This paper cites Diagnosis: Detecting unautho- rized data usages in text-to-image diffusion models.

Continuous Concepts Removal in Text-to-image Diffusion Models Diagnosis: Detecting unautho- rized data usages in text-to-image diffusion models

Reference 43

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Observation 774c0059-98af-4632-85e3-019eafa388c8 · outbound

This paper cites Evaluating and Mitigating IP Infringement in Visual Generative AI.

Continuous Concepts Removal in Text-to-image Diffusion Models Evaluating and Mitigating IP Infringement in Visual Generative AI

Reference 44

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Observation 1a832497-0b14-461a-a76a-c90d4193ce0d · outbound

This paper cites Where did i come from? origin attribution of ai-generated images.

Continuous Concepts Removal in Text-to-image Diffusion Models Where did i come from? origin attribution of ai-generated images

Reference 45

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Observation e71b2e02-364e-4d6f-95f9-a9193f260c6a · outbound

This paper cites How to Trace Latent Generative Model Generated Images without Artificial Watermark?.

Continuous Concepts Removal in Text-to-image Diffusion Models How to Trace Latent Generative Model Generated Images without Artificial Watermark?

Reference 46

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Observation ab4bcc29-3a1c-4acf-8bf9-0106023026f8 · outbound

This paper cites AI-Generated Content (AIGC): A Survey.

Continuous Concepts Removal in Text-to-image Diffusion Models AI-Generated Content (AIGC): A Survey

Reference 47

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This paper cites Unilog: Automatic logging via llm and in- context learning.

Continuous Concepts Removal in Text-to-image Diffusion Models Unilog: Automatic logging via llm and in- context learning

Reference 48

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Observation ed3e76a9-adce-436d-9f4c-675939e5919f · outbound

This paper cites Raphael: Text-to-image generation via large mixture of diffusion paths.

Continuous Concepts Removal in Text-to-image Diffusion Models Raphael: Text-to-image generation via large mixture of diffusion paths

Reference 49

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Observation 5c408f59-c985-4817-aca2-83251593a430 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Continuous Concepts Removal in Text-to-image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 50

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This paper cites Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models.

Continuous Concepts Removal in Text-to-image Diffusion Models Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 51

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Observation d0857b0c-9079-407e-bcf4-2fa5d4cc5e3d · outbound

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

Continuous Concepts Removal in Text-to-image Diffusion Models Adding conditional control to text-to-image diffusion models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:18:56.773456Z

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Observation 38017602-d86b-484d-b716-d09a92db26ac · outbound

This paper cites It's a Breeze: The Circumgalactic Medium of a Dwarf Galaxy is Easy to Strip.

Continuous Concepts Removal in Text-to-image Diffusion Models It's a Breeze: The Circumgalactic Medium of a Dwarf Galaxy is Easy to Strip

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:18:56.222653Z

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.

Pith citing papers

Observation 888da9be-c1ea-4e24-a452-9f5f15d264b7 · inbound

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts cites this paper.

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts Continuous Concepts Removal in Text-to-image Diffusion Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:39.687094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 321547a0-1aea-4922-ae99-e5ad56c3aa20 · inbound

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression cites this paper.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Continuous Concepts Removal in Text-to-image Diffusion Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:54.328219Z

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Unavailable: canonical work link unavailable.

Observation 29bb9d46-2824-48e0-8420-6efeb8d20b3f · inbound

CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models cites this paper.

CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models Continuous Concepts Removal in Text-to-image Diffusion Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:16:24.620814Z

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.

Observation 31ea7249-10e7-40bf-9967-f402c323a93c · inbound

AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate cites this paper.

AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate Continuous Concepts Removal in Text-to-image Diffusion Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-10T09:16:59.473568Z

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.