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Paper Citation Record · LEDGER

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 9 inbound Pith citation observations for arXiv:2501.18950.

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

pith.paper-citation-record.v1
2501.18950 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:56:40.314432Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:39.595584Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:57.496306Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved14
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7f834f2-fe82-49bd-9197-ae74e23a3e64 · outbound

This paper cites Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T21:56:40.158788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dae1aecc-ede6-4dbc-b73d-437948bfae40 · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:56:40.637368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 15910266-d91a-4ba8-90fe-94a42b1e2149 · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:56:40.626094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fc204fd3-cf6a-4459-ba57-3349e59482c4 · outbound

This paper cites Church,” “French Horn,.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Church,” “French Horn,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.607283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c1283ba8-da96-47e5-9259-b6bf34502f39 · outbound

This paper cites Nudenet: Neural nets for nudity classification, detection and selective censorin.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Nudenet: Neural nets for nudity classification, detection and selective censorin

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.778131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.231984Z digest=sha256:917058a4275e80097d9dde51546c7405cfda26e04664db2f5822c5573a170e7b

Observation 6c050371-9c81-4793-9d75-4ceccdcb3d74 · outbound

This paper cites a photo of a c1 and a c2.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them a photo of a c1 and a c2

Reference 8

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T21:56:40.616516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 54bdd66e-e5b3-4712-9ecf-913326123693 · outbound

This paper cites Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.769555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation af9260bb-de43-48ee-b39e-98ae6fb2dc62 · outbound

This paper cites doi: 10.18653/v1/2020.acl-main.664.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them doi: 10.18653/v1/2020.acl-main.664

Reference 10

Resolution
verified exact
doi, observed 2026-08-09T21:56:40.345290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dd805b0e-81b6-4b36-8300-502eaab85e8e · outbound

This paper cites Nonetheless, a weak impact on other concepts can still be detected using complementary metrics.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Nonetheless, a weak impact on other concepts can still be detected using complementary metrics

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.648022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7abb10ab-44df-4809-80ce-90cb9af4fcb9 · outbound

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

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Sneakyprompt: Jailbreaking text-to-image generative models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.759684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 84095f6e-1094-45ea-be72-a119ebf16596 · outbound

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

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T21:56:40.250092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca64d85e-d6e9-4a9b-9449-a64ddd66556e · outbound

This paper cites Despite significant efforts in curating training data, pre-processing methods often leave models inadequately sanitized, as shown in Gandikota et al.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Despite significant efforts in curating training data, pre-processing methods often leave models inadequately sanitized, as shown in Gandikota et al

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.740182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.256337Z digest=sha256:a94170948797344d413fe29996ad89f4eb868bad9d41b1c6becac391fe747410

Observation ed97cea9-b5d0-4229-abb6-29e75a84fd24 · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:56:40.731565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.259096Z digest=sha256:ad86501f7d4d4e899c144d77bb58fd5ec624b0ba054f2f54b321cc008fd223e0

Observation 1c88f796-f193-4fd2-8fea-62068e15610d · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:56:40.723527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3ae46ee2-5d5d-44de-bed5-8b3d18c21863 · outbound

This paper cites Within fine-tuning, there are two main branches of concept erasing techniques: (1) Attention-based, and (2) Output-based or optimization-based.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Within fine-tuning, there are two main branches of concept erasing techniques: (1) Attention-based, and (2) Output-based or optimization-based

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.714780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.264662Z digest=sha256:98918e68002a60be3e80afaaa46eb240aea65b51b963419485e1fbd71b0a61af

Observation 262f3122-ae4f-44d8-8725-32c013019132 · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:56:40.705194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7eaadf71-614f-461e-ad6e-46b05c568029 · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:56:40.696167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 932f1fc7-33ba-4da1-8dfa-dd385316eda9 · outbound

This paper cites Unlike attention-based methods, this approach requires intermediate imageszt sampled at various time steps t during the diffusion process.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unlike attention-based methods, this approach requires intermediate imageszt sampled at various time steps t during the diffusion process

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.686692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4786ddef-ea32-4bb6-87c2-5aeac4ad05cd · outbound

This paper cites Limitation.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Limitation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.677743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.276927Z digest=sha256:2dd328eee4c766fb9680ba2023b587c6d0a48ff41b87d0320ed579f3e5919860

Observation 2772419d-42bc-44fa-916c-89514466aa19 · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:56:40.668243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.279927Z digest=sha256:cfbd987db951e7491ed862024e8a94482fe02ca10c4453d17806c49b6d5cdd6f

Observation 327f3308-d04f-4052-b084-c69cbbb33503 · outbound

This paper cites Bell Cote.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Bell Cote

Reference 24

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T21:56:40.658045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.283667Z digest=sha256:dd63a5d1af9da516f5839ca20724520ccc8c75a0cb62bc27719120b252919f00

Observation e39c14b8-d203-4dc3-b393-9b10f8c07c6e · outbound

This paper cites Church”. Each column represents different fine-tuning steps in increasing order. Each subfigure represents for different vocabularies. [“Chapel,.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Church”. Each column represents different fine-tuning steps in increasing order. Each subfigure represents for different vocabularies. [“Chapel,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.598164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.307016Z digest=sha256:e09e6dedf79a24936d2453ea0825dc8557dbff006c35f5dc15e4293d2d71c066

Observation f7966a48-446c-4a38-afae-48832042f677 · outbound

This paper cites an unresolved cited work.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Unresolved cited work

Reference 31

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T21:56:40.587647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.310653Z digest=sha256:d15f10c758c80adb161d59808813ab1c4690a23c2c02cc5143d7f6a7e137aea2

Observation 8ad9ba2a-c91f-47ea-b3b2-961cf7a88d33 · outbound

This paper cites Erasing Artistic Concepts Figures 24, 25 show the results of erasing artistic style concepts using our method compared to the baselines.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Erasing Artistic Concepts Figures 24, 25 show the results of erasing artistic style concepts using our method compared to the baselines

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.577764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.314432Z digest=sha256:0faf6cc73691332682bdf58361ea35ebfa51cfb3cbad4a557f67e0880b56bb7c

Observation a42e6293-93d5-4caf-9890-e1a14e8cfb1b · outbound

This paper cites Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-09T21:56:40.219170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:56:40.219170Z digest=sha256:8e66aded447534f193d48d75c7ecff5a3c9f62a60b1227df11cb954f65656c65

Observation b769daad-f9d6-4767-b267-f039a0a9fe02 · outbound

This paper cites Erasing undesirable concepts in diffusion models with adversarial preservation.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Erasing undesirable concepts in diffusion models with adversarial preservation

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.796017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.215299Z digest=sha256:10f9725aea492854e7ed169bb5e303b3650cae0587e76bbed8ffc7a165fa4247

Observation a8b65822-ec6c-46f5-9b90-27d5ae55cc19 · outbound

This paper cites 16 C.2 Metric to measure the generation capability of the model.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them 16 C.2 Metric to measure the generation capability of the model

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.749835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.253409Z digest=sha256:e3830381ce8e5eae93030c6d4e053021ff200900838c60d98170f8b1ea411fd5

Observation f6a91112-e68d-43fa-9577-82b7cf14668b · outbound

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

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them LoRA: Low-Rank Adaptation of Large Language Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-09T21:56:40.222664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:56:40.222664Z digest=sha256:722383fc9cae054f71c277cb330c011d062f3e7ecb1a001672e9fa010c1fd991

Observation a9bd183a-7557-4ab1-82e9-6c7beb7216b2 · outbound

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

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T21:56:40.234922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:56:40.234922Z digest=sha256:7d3b809d1fdda3cde69507b5be9f3210ef2f4a9c0d3bbf7ff419314b2b77111e

Observation 5e7580ca-9535-4f93-b611-348a5264a54a · outbound

This paper cites Erasing Undesirable Influence in Diffusion Models.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Erasing Undesirable Influence in Diffusion Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-09T21:56:40.243803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:56:40.243803Z digest=sha256:9db71410065d4b4ec10cd15ea144a94b5bfad41ed54d63d22595fb1900298174

Observation 107f591e-41d2-42c3-82c9-0de468792313 · outbound

This paper cites Minh Pham, Kelly O Marshall, and Chinmay Hegde.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Minh Pham, Kelly O Marshall, and Chinmay Hegde

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-09T21:56:40.228947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:56:40.228947Z digest=sha256:52a700a998ead8fdbf06f57706741ec2b5266921b1dd57e07905e027a7f985f3

Observation 549d2e13-30d7-446a-8f3e-ed2e68abbd00 · outbound

This paper cites Editing implicit assumptions in text-to-image diffusion models.

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Editing implicit assumptions in text-to-image diffusion models

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:56:40.786985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T21:56:40.225950Z digest=sha256:5a42739bbaefc36e2dbac0ee2d38de5cf414e0abf5f813c91ea2d7bf8a918294

Pith citing papers

Observation 09ef3d9c-3347-43b4-b2c2-54b2049fb07a · inbound

TraSCE: Trajectory Steering for Concept Erasure cites this paper.

TraSCE: Trajectory Steering for Concept Erasure Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T18:42:14.887879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:42:14.887879Z digest=sha256:72fe04d31878c15e20ed2c035cf268cdcd651ad7e5ecc03b007bceb8bdd8f0fb

Observation 2344d4be-bfa3-423f-a462-3a73f2826645 · 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 Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T12:29:39.595584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:29:39.595584Z digest=sha256:dd72ec4caf70def262f34febd147f34e54583004ad13a68b49990f8754ed3f92

Observation a9670e05-aa9f-4b0d-996f-e554594d270f · inbound

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge cites this paper.

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T19:06:36.861226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:06:36.861226Z digest=sha256:7b865e3b25d44315383ddf39eb7ce829a39373e98ca7d1caa3c8541de88c0d2a

Observation 4b0f7472-fe43-4adf-93de-bcedcd542e3d · inbound

A Unified Framework for Diffusion Model Unlearning with f-Divergence cites this paper.

A Unified Framework for Diffusion Model Unlearning with f-Divergence Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T15:51:18.392244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:51:18.392244Z digest=sha256:356a817ee0814fcaefa0b48ebc03668991fe55c0fd487b2880812984f3dde204

Observation b99dd0ea-91ca-4a88-bad3-ee88224ea0e6 · inbound

Rethinking Robust Adversarial Concept Erasure in Diffusion Models cites this paper.

Rethinking Robust Adversarial Concept Erasure in Diffusion Models Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T07:05:02.212925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:05:02.212925Z digest=sha256:952d9b453604c983fccf53a7f7bb924f03e6b1b5a12914c89094530d88e18f2e

Observation 12f62f0d-62d5-4bb0-8cbf-da375e2670da · inbound

Erasure or Erosion? Evaluating Compositional Degradation in Unlearned Text-To-Image Diffusion Models cites this paper.

Erasure or Erosion? Evaluating Compositional Degradation in Unlearned Text-To-Image Diffusion Models Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:51.459943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T19:13:19.165859Z digest=sha256:4e11177aca21abae9d769521fdeb72ce91772d25cc7411d6796ddd5471aa2541

Observation 9e39c3f6-cd65-4127-910b-2f5b49df3bfc · inbound

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models cites this paper.

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:21:18.823385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T03:19:54.048685Z digest=sha256:b2784415111638ac5d420fe10b28f9c669b95085d0e8edf54b27e1581316e7b3

Observation 9785658b-4a72-49b6-b5f1-296419c39ae7 · inbound

Co-occurring associated retained concepts in Diffusion Unlearning cites this paper.

Co-occurring associated retained concepts in Diffusion Unlearning Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:09:57.497901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T00:50:58.689718Z digest=sha256:185b4fd91d5efca8e33374a89088092444b3558ff493c89b47de31fe007d7829

Observation 156bdb6a-e5e2-489f-b91e-3a35f5d60266 · inbound

MapRoute++: Surrogate-Guided Semantic Routing for Visual Concept Unlearning cites this paper.

MapRoute++: Surrogate-Guided Semantic Routing for Visual Concept Unlearning Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T10:13:33.631731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:13:33.631731Z digest=sha256:5faf865acc58f07b47b5ee80ce4d2d45c658bbdb0cbd175eecbce0615c3f9b03