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Paper Citation Record · LEDGER

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression

As of 8 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 4 inbound Pith citation observations for arXiv:2505.19398.

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

pith.paper-citation-record.v1
2505.19398 v2

Coverage vector

measured 100 of 127 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:57.538429Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:43:43.792334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:53:27.027109Z

Reference resolution

100 of 127 outbound references displayed

  • verified exact5
  • verified fuzzy21
  • unresolved74
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a384ecc-e275-4cbc-b865-c4cbb0d0bc94 · outbound

This paper cites Generative adversarial net- works,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Generative adversarial net- works,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 575432dc-2a5c-4634-9d98-6f7e07413cc9 · outbound

This paper cites Triple generative adversarial networks,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Triple generative adversarial networks,

Reference 2

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source=pdf_text observed=2026-08-07T14:19:45.894282Z digest=sha256:3c47e0e751ebb104d3d8ee50df8c81c6bf34eacdb5a477a902b26c4cbee23011

Observation f52564de-1292-44df-afbc-4b71c644db9a · outbound

This paper cites Edge guided gans with multi-scale contrastive learning for semantic image synthesis,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Edge guided gans with multi-scale contrastive learning for semantic image synthesis,

Reference 3

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source=pdf_text observed=2026-08-07T14:19:46.028890Z digest=sha256:3dd59c2e5042a346729f5201335fd97beced5952355d8f189c5cab918493d98f

Observation 5f4097a1-7c53-41db-9607-97bd0e0e3c8a · outbound

This paper cites Auto-Encoding Variational Bayes.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Auto-Encoding Variational Bayes

Reference 4

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source=pdf_text observed=2026-08-07T14:19:46.178250Z digest=sha256:cebe7150f225ce08d02944360dc636520457e6a99685ff7c2b9611e2642fb07b

Observation 3893ef23-b1fc-4fde-bbe2-57094188381b · outbound

This paper cites Qarv: Quantization-aware resnet vae for lossy image compression,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Qarv: Quantization-aware resnet vae for lossy image compression,

Reference 5

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Observation 2bb11aae-7e93-4cce-bd44-9b1092c92c19 · outbound

This paper cites Controlvae: Tuning, analytical properties, and performance analysis,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Controlvae: Tuning, analytical properties, and performance analysis,

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:46.539632Z digest=sha256:70497d66c7009141e9ca17a1c767f341c10b3dfc370b6b4f3224e5916ed15b23

Observation da651b4c-8fac-42af-accc-88e8d631f0f6 · outbound

This paper cites Denoising diffusion probabilistic models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Denoising diffusion probabilistic models,

Reference 7

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source=pdf_text observed=2026-08-07T14:19:46.703522Z digest=sha256:a0f01d0cac46dddb9dc670bc46e109626b03d3c2970782fe7ab2891e82d28d26

Observation 38e102ab-7d69-471f-a6a1-5325921d8ac3 · outbound

This paper cites Diffi2i: Efficient diffusion model for image-to-image translation,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Diffi2i: Efficient diffusion model for image-to-image translation,

Reference 8

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source=pdf_text observed=2026-08-07T14:19:46.827531Z digest=sha256:89d8ca913050fe882190b386465eb17a9292a8003662a321362297dc45aeddf7

Observation 810734e8-61fc-45af-bb87-47b641e921ec · outbound

This paper cites Create your world: Lifelong text-to-image diffusion,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Create your world: Lifelong text-to-image diffusion,

Reference 9

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source=pdf_text observed=2026-08-07T14:19:46.972226Z digest=sha256:bb5be4af69b050ec9886de4cbe4a31017c6dcca4ef99667da5f74ebad54afa2c

Observation 7281dad1-9929-4446-9f66-ff4133804a2e · outbound

This paper cites Text-guided eyeglasses manipula- tion with spatial constraints,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Text-guided eyeglasses manipula- tion with spatial constraints,

Reference 10

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source=pdf_text observed=2026-08-07T14:19:47.056329Z digest=sha256:90e1ab4f0ca04ba1ea4ab919766bda7ea26dd6893e2f06f8c708ea4045f07656

Observation 89a4bf67-fa24-48e5-9ecf-dd7db5184b84 · outbound

This paper cites Unified diffusion-based rigid and non- rigid editing with text and image guidance,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Unified diffusion-based rigid and non- rigid editing with text and image guidance,

Reference 11

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source=pdf_text observed=2026-08-07T14:19:47.111390Z digest=sha256:4ec1cf087a340463b4c480e0b36b005d6ff241d91fb0190cfeef736ccea02c49

Observation 19340740-0512-4432-a70a-95f883acf332 · outbound

This paper cites Discrimina- tive probing and tuning for text-to-image generation,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Discrimina- tive probing and tuning for text-to-image generation,

Reference 12

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source=pdf_text observed=2026-08-07T14:19:47.242917Z digest=sha256:4e6799dc7fe5c1b0acebe9ce2486ccbc0e69dcee12728a212aa7cca6f6354150

Observation 3125ef7b-4e3d-43ff-ab7b-573d88f548b3 · outbound

This paper cites A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models

Reference 13

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source=pdf_text observed=2026-08-07T14:19:47.334222Z digest=sha256:0bddcbca3d82c53035901480feda46691f79b69176c5ea49c46f95e24fe69961

Observation e46eaacf-202d-4639-b5c0-9085aebeb19e · outbound

This paper cites Erasing concepts from diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Erasing concepts from diffusion models,

Reference 14

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source=pdf_text observed=2026-08-07T14:19:47.476192Z digest=sha256:0b2907c8694c1107cc69360a19bb951ee5d8a73f61edfa9ef31e70d15b32e685

Observation 061459bf-8182-478c-ac61-e7bb16c7460b · outbound

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

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Forget-me-not: Learning to forget in text-to-image diffusion models,

Reference 15

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source=pdf_text observed=2026-08-07T14:19:47.608114Z digest=sha256:c330d6142718001c495c37334a2eebfa1070d40265b4e7467de9fb2794f9fdd8

Observation 4c429fa4-f343-4bbb-ab28-c3b2fc5adb60 · outbound

This paper cites Race: Robust adversarial concept erasure for secure text-to-image diffusion model,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Race: Robust adversarial concept erasure for secure text-to-image diffusion model,

Reference 16

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source=pdf_text observed=2026-08-07T14:19:47.674902Z digest=sha256:d1b50b9d87e81d2096e09a940db5e355931b5749bf915556712815fbab460546

Observation 921b578d-6d82-40cf-a81e-9160488a4953 · outbound

This paper cites Fast yet effective machine unlearning,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Fast yet effective machine unlearning,

Reference 17

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source=pdf_text observed=2026-08-07T14:19:47.785446Z digest=sha256:69ca74b6c907240a4a73d744fb585826f84c157e4be52145be0449033ea255d1

Observation c1b3d522-e73d-4f7d-b422-1b4905a681cb · outbound

This paper cites Zero- shot machine unlearning,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Zero- shot machine unlearning,

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:47.898878Z digest=sha256:927d162413386becef756dfec06dc899b9f306a3fdf0c8ebf8fcd5a5a2afaecc

Observation 9a1615b7-e954-401a-901d-95e2e765242c · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Defensive unlearning with adversarial training for robust concept erasure in diffusion models,

Reference 19

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source=pdf_text observed=2026-08-07T14:19:48.001404Z digest=sha256:d39a36af0131753720e06223edc8b1ee30c216dd4fdbc94a96cc32ab73879bfe

Observation c93bb367-2efb-4188-b462-106912aa24e9 · outbound

This paper cites Machine unlearning: A survey,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Machine unlearning: A survey,

Reference 20

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source=pdf_text observed=2026-08-07T14:19:48.162363Z digest=sha256:838a6ead2831c8c2cc8daa90e29c03697f53f02f487a952d4c480239ee3d6929

Observation 37dd2a20-4490-4769-b863-7c73ad055346 · outbound

This paper cites Erasing concepts from text-to-image diffusion models with few-shot unlearning,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Erasing concepts from text-to-image diffusion models with few-shot unlearning,

Reference 21

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source=pdf_text observed=2026-08-07T14:19:48.258345Z digest=sha256:af4b5c4f24338e7443ec3984fe5b0ee1dfe97cb2e973814060cd92ecc4e65e2c

Observation 4e9e117f-e64f-4c9e-80c0-ae28e9c3ca85 · outbound

This paper cites SafeText: Safe Text-to-image Models via Aligning the Text Encoder.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression SafeText: Safe Text-to-image Models via Aligning the Text Encoder

Reference 22

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source=pdf_text observed=2026-08-07T14:19:48.338045Z digest=sha256:a31a2d4b543a1688f8b0f4bcdf9cfbf8c9cc9545821130f41486f7e0720e24bf

Observation 8ff2ace1-0dfe-4220-9136-7930b0f37146 · outbound

This paper cites Buster: Implanting Semantic Backdoor into Text Encoder to Mitigate NSFW Content Generation.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Buster: Implanting Semantic Backdoor into Text Encoder to Mitigate NSFW Content Generation

Reference 23

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source=pdf_text observed=2026-08-07T14:19:48.427273Z digest=sha256:134475dae4b0d823bdb29b2c6feef2eb8658d0a57c51e8175b00e8e09a049d75

Observation 53144bee-4694-416f-b964-7b769979c164 · outbound

This paper cites Nudenet: Neural nets for nudity detection and censoring,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Nudenet: Neural nets for nudity detection and censoring,

Reference 24

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source=pdf_text observed=2026-08-07T14:19:48.597411Z digest=sha256:8ab6cc3cf6a9da5b7c008c884134470f3b8b4649fa1e97efb7cf87837e2270f0

Observation 0f721e3b-c240-4ce6-956e-418ea6867291 · outbound

This paper cites Espresso: Robust concept filtering in text-to-image models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Espresso: Robust concept filtering in text-to-image models,

Reference 25

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source=pdf_text observed=2026-08-07T14:19:48.759007Z digest=sha256:cc0a8434fcde2a51937e16ae4773a9ea270304ff380ea015c0d6aa72a796358d

Observation 32155f42-58d1-41f9-a29f-c199c84f5503 · outbound

This paper cites Ce- sdwv: Effective and efficient concept erasure for text-to-image diffusion models via a semantic-driven word vocabulary,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Ce- sdwv: Effective and efficient concept erasure for text-to-image diffusion models via a semantic-driven word vocabulary,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:48.858060Z digest=sha256:9d455f40db69f4c2050e56cd817ac8cb0c2b476a819ff9503fa51621fa2d11bf

Observation d9c4e115-4b96-4f99-b633-81f2b5ddbb8d · outbound

This paper cites Safe and Reliable Diffusion Models via Subspace Projection.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Safe and Reliable Diffusion Models via Subspace Projection

Reference 27

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local_arxiv, observed 2026-08-07T14:20:01.376826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:48.991402Z digest=sha256:8fd104f99431ad2b5770a02d27caf22a352c8c7accb5827d64db96dbc2447e75

Observation 331c2aa6-11a4-464b-9201-f7762d63b3dd · outbound

This paper cites Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models

Reference 28

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source=pdf_text observed=2026-08-07T14:19:49.105707Z digest=sha256:a9ee0459215cb068f541318c0686abc1ccfb41021e8abe2ea291ad841828d527

Observation 4d41ec86-a16a-43a2-890a-c1eafb17fa84 · outbound

This paper cites Concept steerers: Leveraging k-sparse autoencoders for controllable generations,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Concept steerers: Leveraging k-sparse autoencoders for controllable generations,

Reference 29

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source=pdf_text observed=2026-08-07T14:19:49.226629Z digest=sha256:3b6217cf4cd91afcce26fdcb4360bca2128e638d98a7e9900c42d1fdafb92629

Observation bda06ff1-686c-411c-9383-84b12cd7ff5d · outbound

This paper cites Saeuron: Interpretable concept unlearning in diffusion models with sparse autoencoders,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Saeuron: Interpretable concept unlearning in diffusion models with sparse autoencoders,

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:49.378809Z digest=sha256:e6ebe7eeb95965f6b635ea99ea31d4662cea8d7e2399c40a8aa67cd911df3867

Observation 98946567-f948-456d-b087-6d6db937d9a3 · outbound

This paper cites Distorting embedding space for safety: A defense mechanism for adversarially robust diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Distorting embedding space for safety: A defense mechanism for adversarially robust diffusion models,

Reference 31

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source=pdf_text observed=2026-08-07T14:19:49.531330Z digest=sha256:c9170a26dca33bdb1428078b5c5a8dd1276b489027b86171c0c2b5b351077bf6

Observation 7fad6897-e844-4e47-bf7f-f992846a8f20 · outbound

This paper cites Prompt sliders for fine-grained control, editing and erasing of concepts in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Prompt sliders for fine-grained control, editing and erasing of concepts in diffusion models,

Reference 32

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source=pdf_text observed=2026-08-07T14:19:49.695302Z digest=sha256:e2a5e29ffc4bf78ba31f3ff710bb5dbee4f21e660b30cd8980072da2bfbf9855

Observation b1d6e574-8f83-4d08-b928-e2e245f2caff · outbound

This paper cites PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models

Reference 33

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source=pdf_text observed=2026-08-07T14:19:49.787939Z digest=sha256:4dafd740f2b31bccd0dd9f3333cafa39df4b6d0c6eea40355657c5d079d64be1

Observation 70600ec1-3c6e-4939-8922-1a0945845678 · outbound

This paper cites Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding

Reference 34

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source=pdf_text observed=2026-08-07T14:19:49.902106Z digest=sha256:b26338d91ee21058816864a0ce98b4ee5c45ae26b5b07da3623e34293192947d

Observation 54dbde18-902e-4236-b99d-c79d95d1d1f1 · outbound

This paper cites Responsible diffusion models via constraining text embeddings within safe regions,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Responsible diffusion models via constraining text embeddings within safe regions,

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:50.067397Z digest=sha256:85951fd4b5435f6e562e03b90718fa0041935afe17dc2a33a133358974cd6c02

Observation d7daf683-1090-4513-8974-9c5604a3f689 · outbound

This paper cites CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models

Reference 36

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local_arxiv, observed 2026-08-07T14:20:00.991224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:50.174194Z digest=sha256:835cf4254778d1b134795b0b5e7539c8d3169d8a5b96dfa1463537b664c0e517

Observation be4c540c-1494-47f7-a216-a9b10e9595b7 · outbound

This paper cites Ablating concepts in text-to-image diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Ablating concepts in text-to-image diffusion models,

Reference 37

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source=pdf_text observed=2026-08-07T14:19:50.255274Z digest=sha256:ac73699229ff6bb5a3621ae6e299cdb686ea802dfd1df5d3234e8aad9270ed74

Observation be38313d-76cb-49cc-bf45-347120547ef2 · outbound

This paper cites Choose your anchor wisely: Effective unlearning diffusion models via concept reconditioning,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Choose your anchor wisely: Effective unlearning diffusion models via concept reconditioning,

Reference 38

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source=pdf_text observed=2026-08-07T14:19:50.375436Z digest=sha256:46c561c9f4d6e920e6960baaec7631de2cd83b64828ab9a7f844d984d736a79f

Observation 35b9004f-5ecb-42db-bfcb-7385d8d9a2ef · outbound

This paper cites Dark Miner: Defend against undesirable generation for text-to-image diffusion models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Dark Miner: Defend against undesirable generation for text-to-image diffusion models

Reference 39

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source=pdf_text observed=2026-08-07T14:19:50.481782Z digest=sha256:31bf5d478ad75f9644d4f21e88ac654e12c58c90180098f08ec954a6518f8afd

Observation 8c7be7c0-c374-4386-9188-05bb00954305 · outbound

This paper cites Separable Multi-Concept Erasure from Diffusion Models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Separable Multi-Concept Erasure from Diffusion Models

Reference 40

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source=pdf_text observed=2026-08-07T14:19:50.604000Z digest=sha256:f2ad0e719ddbbb92e8c9e57a8df76901f130f6c3dd0eee8690a8effef692f1d8

Observation 478ebf23-0a5a-414a-bb4a-a690410bb09b · outbound

This paper cites Erasing concept combination from text-to-image diffusion model,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Erasing concept combination from text-to-image diffusion model,

Reference 41

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source=pdf_text observed=2026-08-07T14:19:50.728598Z digest=sha256:a1ba063f2efb084a13e30523143663dc97424d74710ebdffbfee31df8abb3584

Observation e1b4e8f1-68a9-4a5d-a700-a80d3c4fffe8 · outbound

This paper cites Continual Unlearning for Foundational Text-to-Image Models without Generalization Erosion.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Continual Unlearning for Foundational Text-to-Image Models without Generalization Erosion

Reference 42

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source=pdf_text observed=2026-08-07T14:19:50.835042Z digest=sha256:375393646527ea2736eeff8358e7e34d615317cff8405866e9b49b9a6f2de4c9

Observation a03fc6f5-b104-4ad5-ba70-0bfd45595c6f · outbound

This paper cites All but one: Surgical concept erasing with model preservation in text-to-image diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression All but one: Surgical concept erasing with model preservation in text-to-image diffusion models,

Reference 43

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source=pdf_text observed=2026-08-07T14:19:50.893531Z digest=sha256:fbf858bc2679fbdd49456851c811f006b4e695fb6c3637cf65e97e725b4f9587

Observation e9cd3cb3-fae8-45a9-9732-b9bdfa060e71 · outbound

This paper cites Growth inhibitors for suppressing inappropriate image concepts in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Growth inhibitors for suppressing inappropriate image concepts in diffusion models,

Reference 44

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source=pdf_text observed=2026-08-07T14:19:50.974092Z digest=sha256:d6a3e5765be53b3c95f4d2c9d5c6bc73dda46179e3dfb5492ca0230f71929b5d

Observation f8a0f2f8-8de4-482b-a53d-e5616f54b7d5 · outbound

This paper cites Concept pinpoint eraser for text-to-image diffusion models via residual attention gate,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Concept pinpoint eraser for text-to-image diffusion models via residual attention gate,

Reference 45

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source=pdf_text observed=2026-08-07T14:19:51.036857Z digest=sha256:135e0c449818a483aca032f8ebf433ae422a55561a2c35b9589cbe4f29256c0d

Observation 5b0e1546-cbbf-44dd-bb04-511aa087d4af · outbound

This paper cites Concept replacer: Replacing sensitive concepts in diffusion models via precision localization,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Concept replacer: Replacing sensitive concepts in diffusion models via precision localization,

Reference 46

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source=pdf_text observed=2026-08-07T14:19:51.135593Z digest=sha256:3e9be7496d25f088a359ea3e4bda64b44a6f96c025e6229d387ffaa538b18602

Observation decd836b-2e2c-4141-b087-b304f79a3dec · outbound

This paper cites Detect-and-guide: Self- regulation of diffusion models for safe text-to-image generation via guideline token optimization,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Detect-and-guide: Self- regulation of diffusion models for safe text-to-image generation via guideline token optimization,

Reference 47

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source=pdf_text observed=2026-08-07T14:19:51.283681Z digest=sha256:8760ae400e7983bb0d1e26220abf0fb1405504c802864785a61333b7e8a42a4e

Observation e4365c86-a9a4-4317-9c12-0d845dc22dfd · outbound

This paper cites CASteer: Cross-Attention Steering for Controllable Concept Erasure.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression CASteer: Cross-Attention Steering for Controllable Concept Erasure

Reference 48

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source=pdf_text observed=2026-08-07T14:19:51.455007Z digest=sha256:7760afbd977054244458c1e20acaa7d4ad5e6802149609b7f11bd134ce4ce5a1

Observation db95a97d-e2e7-4696-b027-6bd52633d544 · outbound

This paper cites Unified concept editing in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Unified concept editing in diffusion models,

Reference 49

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source=pdf_text observed=2026-08-07T14:19:51.610959Z digest=sha256:a5afe3f2d6ce474c326de26209976776ab4d63bc114e4c64328a16f4e9d78674

Observation fc0a9abf-38b7-4690-ae1c-fbff02ceff8a · outbound

This paper cites Reliable and efficient concept erasure of text-to-image diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Reliable and efficient concept erasure of text-to-image diffusion models,

Reference 50

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source=pdf_text observed=2026-08-07T14:19:51.706954Z digest=sha256:497353ad05140662eeadaa4435b0a8b9a532b2f8f39a15c88805a6dfd351ccc6

Observation 76b1b0d1-deb2-4a41-814c-b9264a2e57a5 · outbound

This paper cites Mace: Mass concept erasure in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Mace: Mass concept erasure in diffusion models,

Reference 51

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source=pdf_text observed=2026-08-07T14:19:51.827319Z digest=sha256:298aaf5da414c645bb10eb9ccc9e5652230f2acd590c0af157d650ba140d92d0

Observation 657d47f2-9ffe-4754-b1fb-bf3277cc52cd · outbound

This paper cites Ace: Anti- editing concept erasure in text-to-image models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Ace: Anti- editing concept erasure in text-to-image models,

Reference 52

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source=pdf_text observed=2026-08-07T14:19:51.953247Z digest=sha256:1e9457c3021cfb1a2dcd6c32a5b5925d8b4431a9c56d95d2150dff54193d7d34

Observation 30a46e93-c54a-414e-a48e-7fa425e9f4aa · outbound

This paper cites RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining

Reference 53

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source=pdf_text observed=2026-08-07T14:19:52.093567Z digest=sha256:c93bd6392ed8c5d806ee6b8f8f9b8af9feeb43dec1a705591e89b1f6675ad6ea

Observation 3c350803-a77e-4073-8170-4b4df9950360 · outbound

This paper cites Trce: Towards reliable malicious concept erasure in text-to-image diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Trce: Towards reliable malicious concept erasure in text-to-image diffusion models,

Reference 54

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source=pdf_text observed=2026-08-07T14:19:52.175725Z digest=sha256:80226399d2da05fa90423001ad8c9661df4faecab11c6da30982dd5edee9cfe3

Observation 0ecb9393-8ba2-438b-8192-a2c14e52c6c2 · outbound

This paper cites Precise, fast, and low-cost concept erasure in value space: Orthogonal complement matters,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Precise, fast, and low-cost concept erasure in value space: Orthogonal complement matters,

Reference 55

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source=pdf_text observed=2026-08-07T14:19:52.307007Z digest=sha256:e496c3e07e9d66bd957215ca559d1ac58cf7b6c840e6c2eb8651160c43a5d56d

Observation 7d3d1a96-bb50-47e0-ab47-37c6a9c4d77e · outbound

This paper cites Speed: Scalable, precise, and efficient concept erasure for diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Speed: Scalable, precise, and efficient concept erasure for diffusion models,

Reference 56

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source=pdf_text observed=2026-08-07T14:19:52.424735Z digest=sha256:f6035527567e762f10f86336ee5efdc04c35fb3a3bcef126422564f128ec440b

Observation 5cc4edcb-121a-426c-a495-f2ed6193ba96 · outbound

This paper cites Hiding and recovering knowledge in text-to-image diffusion models via learnable prompts,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Hiding and recovering knowledge in text-to-image diffusion models via learnable prompts,

Reference 57

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source=pdf_text observed=2026-08-07T14:19:52.549776Z digest=sha256:aacd721252e459a02c4a0cd13b187382199629fd3b8a4211c65853b3e5e8d544

Observation c0f99e23-b5fd-45c0-a87b-2de6c0ccaa96 · outbound

This paper cites Direct unlearning optimization for robust and safe text-to- image models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Direct unlearning optimization for robust and safe text-to- image models,

Reference 58

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source=pdf_text observed=2026-08-07T14:19:52.703616Z digest=sha256:a9d8abb5c9402e0dac8c90b6c2bc11f036108fd00198c429200ddc84d8497f74

Observation 9f60f500-a02e-43aa-83aa-7ea22fe208c5 · outbound

This paper cites Conceptprune: Concept editing in diffusion models via skilled neuron pruning,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Conceptprune: Concept editing in diffusion models via skilled neuron pruning,

Reference 59

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source=pdf_text observed=2026-08-07T14:19:52.899706Z digest=sha256:293e371527c609eb8dd5a85932b2f7822dd7a6ff84227a1ae4efdbbb0b9d64b3

Observation c61df350-4cbc-4442-93b9-102d7261d984 · outbound

This paper cites Pruning for robust concept erasing in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Pruning for robust concept erasing in diffusion models,

Reference 60

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source=pdf_text observed=2026-08-07T14:19:53.044451Z digest=sha256:5adfd9bdd05b6d8773ad37b49850ecb8f7c8a27ca63bbfa379fdafcd9215b042

Observation aacd9584-4784-465e-8d96-8e4a67fae107 · outbound

This paper cites Unveiling concept attribution in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Unveiling concept attribution in diffusion models,

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:53.170231Z digest=sha256:b8c7c4b4650fe884d8316a2ddcc9971170e9fd491637684e61bbf38ef3025657

Observation 5afc62b3-46e8-49f0-9cc3-4c08ed542a63 · outbound

This paper cites Robust Concept Erasure Using Task Vectors.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Robust Concept Erasure Using Task Vectors

Reference 62

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source=pdf_text observed=2026-08-07T14:19:53.316417Z digest=sha256:90d1f74d4db1ab4f7ae8d80d071adc9f4a045814e17a2c77534a018663d87941

Observation fae55916-1565-467a-a780-06b8285037f4 · outbound

This paper cites Localized concept erasure for text-to-image diffusion models using training-free gated low-rank adaptation,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Localized concept erasure for text-to-image diffusion models using training-free gated low-rank adaptation,

Reference 63

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source=pdf_text observed=2026-08-07T14:19:53.463061Z digest=sha256:3fd0524c85180b8ec2302e2173184d09a6d288eb4c7d5610a754c13441a2f76f

Observation 2d5d0f59-0126-4ac0-b9d6-0da6e0054eb4 · outbound

This paper cites Receler: Reliable concept erasing of text-to-image diffu- sion models via lightweight erasers,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Receler: Reliable concept erasing of text-to-image diffu- sion models via lightweight erasers,

Reference 64

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source=pdf_text observed=2026-08-07T14:19:53.627061Z digest=sha256:f80dcc0b2779a9c1a56d59672e308c9710c022a8cd33e4e23a71758351043e60

Observation 5d6acfcc-9357-4092-bd36-a9fc7440467d · outbound

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

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression One-dimensional adapter to rule them all: Concepts, diffusion models and erasing applications,

Reference 65

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source=pdf_text observed=2026-08-07T14:19:53.771827Z digest=sha256:d8cf04bb80f527c47306d40e6a6d92b4a39d35d7a4dd5c315a2b45f8a285c3fa

Observation c5455cd3-bccc-424e-8820-3d5b898f0aa6 · outbound

This paper cites ACE: Attentional Concept Erasure in Diffusion Models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression ACE: Attentional Concept Erasure in Diffusion Models

Reference 66

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source=pdf_text observed=2026-08-07T14:19:53.893639Z digest=sha256:b5418210abb40d05dfb61949864fdefdeb47db153e02b72c8dda550d33dbca76

Observation 152ecd3d-65f7-4ace-a294-8c5657212a1a · outbound

This paper cites Erasing undesirable influence in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Erasing undesirable influence in diffusion models,

Reference 67

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source=pdf_text observed=2026-08-07T14:19:54.016978Z digest=sha256:12d104033862f5a99de5aad0364bbdd9a9e2e04f3a117148d6d7f06c02beb8b5

Observation 16f95c43-8cde-4358-b5be-e83cab36deae · outbound

This paper cites AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors

Reference 68

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source=pdf_text observed=2026-08-07T14:19:54.205234Z digest=sha256:0322cfeac6aaea1761826956bf4e30d9a6fbaf6dcc3f34bf10b2af174eaf5ca3

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

This paper cites Continuous Concepts Removal in Text-to-image Diffusion Models.

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

Reference 69

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source=pdf_text observed=2026-08-07T14:19:54.328219Z digest=sha256:92b1b3e4b817f4a7885fd76f15f54899d9e6d2c4a1887ae635d7e5490e5bd9f1

Observation e1a8858d-b926-4236-abd0-65ece154b84a · outbound

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

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

Reference 70

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source=pdf_text observed=2026-08-07T14:19:54.423543Z digest=sha256:c9c1f9494b50e6e968126382a73a100d79a856fd9f497c56f1fe92d18635f54a

Observation be8f2656-7c5d-4a8d-8f2f-bb2462cafd40 · outbound

This paper cites Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation,

Reference 71

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source=pdf_text observed=2026-08-07T14:19:54.568443Z digest=sha256:ab583e792935e76a5f98b204fc59c819ea4af8026749618410f4054a4deb98d9

Observation cf3298dd-ded2-49ed-91de-37435eebbb5c · outbound

This paper cites Erasing undesirable concepts in diffusion models with ad- versarial preservation,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Erasing undesirable concepts in diffusion models with ad- versarial preservation,

Reference 72

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source=pdf_text observed=2026-08-07T14:19:54.716802Z digest=sha256:ae67fd9d57d1c2b7efac047ee9215b7c8e58265a2a0590d0e2d9f22522735365

Observation dae62ef1-5987-4c66-8c08-c1d3d1134c11 · outbound

This paper cites Fantastic targets for concept erasure in diffusion models and where to find them,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Fantastic targets for concept erasure in diffusion models and where to find them,

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.568595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:54.932399Z digest=sha256:0dae687395326591ae19155381a80f222d62b01d54317dfd6ad65d8c713a25b8

Observation 3df96bbb-1ff0-40e7-b022-806429383702 · outbound

This paper cites Towards robust concept erasure in diffusion models: Unlearning identity, nudity and artistic styles,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Towards robust concept erasure in diffusion models: Unlearning identity, nudity and artistic styles,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.355308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.065124Z digest=sha256:43080617dea7998045521b1c0d57ee342f7e36033b4f0e1adc6c5b3cdfaea717

Observation 6e2bb954-e1c9-4580-9112-c8d15e08aad8 · outbound

This paper cites Unlearning concepts in diffusion model via concept domain correction and concept preserving gradient,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Unlearning concepts in diffusion model via concept domain correction and concept preserving gradient,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.218162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.192088Z digest=sha256:74c1b6f12b7d1e21279c55c3bdc83244ebcd4bb2dd40ec1db875a342b9f76150

Observation a18e512e-1c4c-4a97-aa75-e8ed5f86e8fc · outbound

This paper cites Stereo: Towards adversarially robust concept erasing from text-to-image gen- eration models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Stereo: Towards adversarially robust concept erasing from text-to-image gen- eration models,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.009288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.311500Z digest=sha256:c9815ca12c3578df86c14e2fc059e01d41477a56d09a08c062dc1bb40ff38425

Observation ed9215da-c4c3-4863-b5de-7c8ba708ec14 · outbound

This paper cites Efficient fine-tuning and concept suppression for pruned diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Efficient fine-tuning and concept suppression for pruned diffusion models,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.828252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.465762Z digest=sha256:7d019fb46c76a88773e9c430cab10c9c8807d77c962bbff013c5c55f4aeeacbb

Observation e7af69fa-9319-4a4c-bcb5-c2e459d657da · outbound

This paper cites Meta-unlearning on diffusion models: Preventing relearning unlearned concepts,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Meta-unlearning on diffusion models: Preventing relearning unlearned concepts,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.675048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.582167Z digest=sha256:3309826e1709e253bcff714bf3201a672f31b057958ee6fb59783b561b9ce231

Observation 1e855573-f1c6-4131-9c96-3756ab061d55 · outbound

This paper cites Fine- grained erasure in text-to-image diffusion-based foundation models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Fine- grained erasure in text-to-image diffusion-based foundation models,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.498386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.644680Z digest=sha256:15a5bf0cb28ce7e8ea7b908143014adae8150954b71e6b6e1b1544f1508daf66

Observation ccab664f-5a3b-4386-a138-89a8898da2ee · outbound

This paper cites Safe- gen: Mitigating sexually explicit content generation in text-to-image models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Safe- gen: Mitigating sexually explicit content generation in text-to-image models,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.323547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.724703Z digest=sha256:a2d0c500215337c71bff86232a36432e84fd2680f48efbea211109443ef60853

Observation 94a0a050-5d9f-4df6-aed4-c56fc5d3bf87 · outbound

This paper cites Implicit concept removal of diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Implicit concept removal of diffusion models,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.132684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.834201Z digest=sha256:6b2e20c890eafcfe8662419b5c36d79cd312676920c2f10028e5b7dbb4da8d23

Observation 40b335c4-e240-42e6-a3a0-7795578ab8b9 · outbound

This paper cites Dumo: Dual encoder modulation network for precise concept erasure,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Dumo: Dual encoder modulation network for precise concept erasure,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.975158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:55.953903Z digest=sha256:ce4f1f2d4b552f610e829c398b22aadb3fae7ce0f9af68d0a274bbc35a2e8809

Observation cee947ae-e1b0-4438-abf2-ab8bbc51fbe2 · outbound

This paper cites Concept Corrector: Erase concepts on the fly for text-to-image diffusion models.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Concept Corrector: Erase concepts on the fly for text-to-image diffusion models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:56.036240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:56.036240Z digest=sha256:6871a27b3c462d601ffbb61473d7e0d19b606880c6585f8911473b6f5014eb66

Observation 1908eafb-1c03-4314-9f9d-61339910ebf8 · outbound

This paper cites AlignGuard: Scalable Safety Alignment for Text-to-Image Generation.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression AlignGuard: Scalable Safety Alignment for Text-to-Image Generation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:56.107261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:56.107261Z digest=sha256:a686b131e550f0419188de8dc5aa0a5aa29f050de9878c691fdfd5931be1d278

Observation 4e03b8a3-ab1e-4f9c-aff6-94d13ba58d2a · outbound

This paper cites SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis Attack.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis Attack

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:20:00.354557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:56.182180Z digest=sha256:3df3f1140f6ad5ee54f633d78acf9d3e96a22ba0a0760d54c2528c991bc47cd9

Observation d14988e1-debf-4bc2-ac95-791dde5ea5c6 · outbound

This paper cites MUNBa: Machine Unlearning via Nash Bargaining.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression MUNBa: Machine Unlearning via Nash Bargaining

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:56.313019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:56.313019Z digest=sha256:5d366bf18280886b2e4701288285ce15def246cd63efa5d586a193bb957ba3df

Observation 221d917a-f809-45f4-b3c6-d6a985bd7f29 · outbound

This paper cites Eraseanything: Enabling concept erasure in rectified flow transformers,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Eraseanything: Enabling concept erasure in rectified flow transformers,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.810861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:56.382063Z digest=sha256:a9a73a9ad0fa0dde575b914209d21ae11f73a530b8790b25c67a2b55942dc177

Observation 4a8edddf-2d17-4405-865b-bbc0cdd70987 · outbound

This paper cites Steerdiff: Steering towards safe text- to-image diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Steerdiff: Steering towards safe text- to-image diffusion models,

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:56.452437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:56.452437Z digest=sha256:7745a92b4b9b9cde7afcdf0f0c9385fc6cb6634e0052a898ff97b153674d20d4

Observation 002246bc-5e1d-416a-88ec-70fbb494c803 · outbound

This paper cites Latent guard: a safety framework for text-to-image generation,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Latent guard: a safety framework for text-to-image generation,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.621162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:56.583982Z digest=sha256:1da52c27c0591215f47bce1266886de2a466f66e8cf04fc404d102624f0961d0

Observation d01bb941-28cb-448a-a03a-77f355059c00 · outbound

This paper cites Guardt2i: Defending text-to-image models from adversarial prompts,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Guardt2i: Defending text-to-image models from adversarial prompts,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.400014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:56.684975Z digest=sha256:8c6e001faa46aefdd9a8611b05520c893bda13744d9b0a4260701fffbe6b5f63

Observation b2c3b48e-fd72-4d17-9585-ca2ec517e317 · outbound

This paper cites Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.151716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:56.780610Z digest=sha256:64642e31e9b94ad3a03ec0bdb91fe3394b28d967b0a25cb1f96328785bd616c6

Observation 4cc0645d-8b38-41f5-8596-8e75d77b49a8 · outbound

This paper cites Training-free safe denoisers for safe use of diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Training-free safe denoisers for safe use of diffusion models,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:09.847885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:56.843891Z digest=sha256:89406a1c73cdb29ad586ea823ccb3492274e86d3a967bbdfa90d7a181adad082

Observation 2ebfcc04-205f-463b-8427-767de525e373 · outbound

This paper cites TraSCE: Trajectory Steering for Concept Erasure.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression TraSCE: Trajectory Steering for Concept Erasure

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:56.933774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:56.933774Z digest=sha256:c845d2370faa396f5daca6cc5bd802f4d4fb9ece66617c8d8773f189cf7762d0

Observation 6960056f-8faf-4814-85df-1d9fbd34cf80 · outbound

This paper cites Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:57.022775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:57.022775Z digest=sha256:e7cca9110ce69e8f02b8b63cb66b940d79e386c199adfc4f98072caaa34fd71a

Observation f3bfac4a-47da-45d5-b3ce-748dc69ecdcb · outbound

This paper cites Score forgetting distillation: A swift, data-free method for machine unlearning in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Score forgetting distillation: A swift, data-free method for machine unlearning in diffusion models,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:09.563140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:57.090067Z digest=sha256:2291d750a48491ed639f386942ed33e2d598d877a523bf86d51940198b8dff61

Observation 15ead29a-4503-40d0-ad2e-dc7f2ec0b098 · outbound

This paper cites Data unlearning in diffusion models,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Data unlearning in diffusion models,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:09.293487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:57.182756Z digest=sha256:7f1ff0bf170a4d95d07727ec86fdad663a1bc53efcb917255e5ca5660e8be012

Observation 6529b16f-f335-4787-8c31-fb9f35111daf · outbound

This paper cites Cat: Cross attention in vision transformer,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Cat: Cross attention in vision transformer,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:09.000839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:57.279878Z digest=sha256:b886b0ce806b5374fe1d32b2f1e92fc0a809278db47e741e351cd4a1a5530a43

Observation 4a782df5-56c6-4a43-9a26-48d4ebc21bef · outbound

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

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Learning transferable visual models from natural language supervi- sion,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:08.706937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:57.357082Z digest=sha256:84a91fddd4b9016aa8486efc757475c1102cb4dc2fdb25cb8afdcc7106e56a76

Observation 779ca36b-cb9f-4408-86c0-30105d1774e8 · outbound

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

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression High-resolution image synthesis with latent diffusion models,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:08.607658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:57.435212Z digest=sha256:a9e1fca24c39a23ad77200ef7e5768685f9e598827730c955f87908ced394e69

Observation 704324c6-f578-4e58-95ca-d6e8001a80dc · outbound

This paper cites Red- teaming the stable diffusion safety filter,.

Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Red- teaming the stable diffusion safety filter,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:08.554111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:19:57.538429Z digest=sha256:da37fbf738aa2a06e4563af5eed353535cf846c74acc4da5c426893f19da698f

Pith citing papers

Observation 47054042-8797-490c-80e1-70a333bca00b · inbound

SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models cites this paper.

SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:27:59.450278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T14:24:24.309024Z digest=sha256:2c9d58785d5a40a42544d2894c1073946889477b198e54e3ba8d82fff26c7ac3

Observation f9ffd4f5-7e37-4782-8d31-e497fba86c43 · inbound

Closed-Form Concept Erasure via Double Projections cites this paper.

Closed-Form Concept Erasure via Double Projections Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:16:00.775101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:44:57.265729Z digest=sha256:c2c08ad9ccc6436d5cba1fd7991063062bbbfb0b7c5390c2844787af42b43272

Observation 01e767b2-b1a0-4986-90aa-98d353110135 · inbound

Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework cites this paper.

Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:25.652924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T10:33:17.362333Z digest=sha256:57382771ccc2209132383cccdfe56b3bb1ce104fc2c2b884c4a5f1fa7de9620b

Observation 1605d307-fbbf-4a3f-a579-9023a5d1b435 · inbound

The Attentional White Bear Effect in Transformer Language Models cites this paper.

The Attentional White Bear Effect in Transformer Language Models Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:53:27.028484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T12:43:43.792334Z digest=sha256:cc3c0de90a89f67b0381eb827a2faa1a3e80cbc340a1b3db94592c46255095e3