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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 5 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 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:36.861226Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.291882Z digest=sha256:485a1b116cbe5d2dd5c18ffbe96e65bc392f9a56cd2ed48b372b5da8f6881e14

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.295503Z digest=sha256:4bb5cd914cb6425f8017b4e0154e0fac3077f19ff9320917bc3a4e676935905c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.303332Z digest=sha256:e8645a2be516d80612dcecc55c05793748b2c2c25550dc4e6b7d86cc8613addb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.231984Z digest=sha256:ec4c2b235cdbcac5532de5aa5175e6216444207e75a90a14a61a91ed6d03cffd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.299424Z digest=sha256:06c1b76df76c6426fcb21e8ddafd5d658452293a59884c5cae66fd9d6fe1bc17

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.237972Z digest=sha256:3746e53b6be80b1c2de8c6b8c767625375b34fe81afb4ac857342381d62d2d7c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.241000Z digest=sha256:cf14170ebcfe4b34fec478541a7f13d5403151751502714f502c2dcaac15cce8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.288042Z digest=sha256:e815ccae2979968063615cf67301595881c6a6ed77403a570f3f9197165746a3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.247183Z digest=sha256:7958a932be1880dd88e34c0a9c1e70f07b74c4857ca271cc217e2db540d11b60

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.

source=pdf_text observed=2026-08-09T21:56:40.250092Z digest=sha256:97989d8388cb8092601b8272887578e8cfe95f8775d86f8fd3efb50492f34481

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.256337Z digest=sha256:69ab097e6beaede1a6ac1c50d455a5143950e2a07d2517efddc5852f98f6c699

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.259096Z digest=sha256:527c053fd04380e70c49addce9cbaa8aa10ad9d2af7d3fe6590f5184282b84ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.261911Z digest=sha256:69fe8ebeae522fff2f1faa8065c5065cd2a31112a9c80f9559ee4f541a2bf43f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.264662Z digest=sha256:4302b1ed9a635fab06a18c25ba423ce78a7353bbe21a5dc03aafb4298d8f83ab

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.267419Z digest=sha256:469aa120adfa378a88b9e76538d0aa57a39564172b6d65bc7b8f8b98a1f21800

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.270880Z digest=sha256:ab4f40387287a5526b406697ec81b5f36ace135814f3e23c864a8c8a11674353

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.273724Z digest=sha256:aec2ceb49aea3e0730a970ba2327926d3ff14fcf3506c215955292849eeaea8c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.276927Z digest=sha256:86814e236b205b616c8d30962ced61e7e70ddbd4009ad540689e59b3d72c0552

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.279927Z digest=sha256:6a1c2b48c4d3eed497e48e49fc1130cb2ef0fd258721ecbe0b3f5a745162384b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.283667Z digest=sha256:6bf45fbb3011fbd1a88b27c9a163bef78b3ec8c865eb18a2cb24ceec7a6fb20b

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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.310653Z digest=sha256:059c0c2cd039302ba6411a4e678a96dc439bbab54ce3a81fac72456f4fe3e031

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.314432Z digest=sha256:8ec39f192144fce025d03ca01a4af92db80efb18ecee52189e8a7aaae8d4ed20

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=sha256:6fc3ef4e525a68bf7ae84e3b10f6712522bf02a46b890122862d8f2c87297c7f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.215299Z digest=sha256:ade195719267456dac84e673fed7761428ce6bb6016e527c23d049661ff1f9a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.253409Z digest=sha256:9e02ea742c32bb388d64aa994160c94f88da2ed1df2c7d1492a380c0daf498bf

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=sha256:1fceb4046b6138865148bccec0ae8865882a1a32325c6d25d603ed49231232fc

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:de1ab3d52baf935d1e02830c600e1dce7b75c136b62090d4f98ad113846ad4ed

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=sha256:0b6c8665fbc50e8181b9e78a5dde07412f99f860eda210563717c53ecb2a3b58

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:aaaa0dce6b8484bcb217deee6dab64260092d6904068452aaa5179142257f96e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T21:56:40.225950Z digest=sha256:3117119e4cf57b3a3f211c9439c4b3c196a78a13a2e892e2399e3a278966ffa1

Pith citing papers

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=sha256:3c874e19716cd341a979f9a3005cede399980dd5378d20eb32dd499eacf9710c

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=sha256:513007e16a0851725de6312dccf8a5739d60c2fc897e2c6f2b65ff4824a080c3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:13:19.165859Z digest=sha256:cac89ae91a9bfc297f6a7dc9d1c4d819fc41c421c3f3350a865aa96bee49f41b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:19:54.048685Z digest=sha256:60e876cb39120dbb352d7bb7fdd5b93595649404ef9e09f67136e0e864f517dc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T00:50:58.689718Z digest=sha256:ae53cdf5aaecc2b5953c6edca93d1c04127afa5a0ace6a23cb118d2af91aa82b