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Paper Citation Record · LEDGER

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization

As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2412.01244.

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

pith.paper-citation-record.v1
2412.01244 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:35:24.809612Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:56:13.229054Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:56:13.573328Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91ea5fa4-a413-4c24-9942-e992ecd40cde · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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Observation f98addd6-6c08-430a-9478-23df6c4e4cdd · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

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Observation e0d394f8-3ccc-46bc-8a9a-93a2b5c78e22 · outbound

This paper cites Nudenet: Neural nets for nudity detec- tion and censoring,.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Nudenet: Neural nets for nudity detec- tion and censoring,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 84bf1fa1-1f7c-4e4c-b561-5ce0b5cc9d78 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization In- structpix2pix: Learning to follow image editing instructions

Reference 4

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source=pdf_text observed=2026-08-12T04:35:24.614611Z digest=sha256:79c9500a270583367125bc791b60a6c7d4087c1d6442e130cd992cb0e929884d

Observation 7bcb1a32-e346-4e24-9df6-291ae455d9cc · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 5

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Observation 35b6f3c4-51a4-4f2f-b9b9-e4e4f1eaf1eb · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.624168Z digest=sha256:e1d9e1344d874e6d3be44fb91b44dd3fba715dadc336ace97f5ee5d50063ff3c

Observation b6997d2b-5000-46d4-b1cd-89185a1adb5e · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 7

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source=pdf_text observed=2026-08-12T04:35:24.629015Z digest=sha256:6d4ab862931a54f6568c935741e7de72edbad1041c4b8eed12fe19ed7fac9f59

Observation a73b0d34-f298-4d69-ae97-71666b47e52e · outbound

This paper cites Detect what you can: Detecting and representing objects using holistic mod- els and body parts.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Detect what you can: Detecting and representing objects using holistic mod- els and body parts

Reference 8

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source=pdf_text observed=2026-08-12T04:35:24.633206Z digest=sha256:3baaf52b63f7d3d1f0ee97b9cd53a7b85d44b1d86f782136b715af4d1d2923e4

Observation 9edf2f21-bd95-4ec4-82c8-7230a63e93f4 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 9

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source=pdf_text observed=2026-08-12T04:35:24.637575Z digest=sha256:588c975980c5c0806463688a538cc8f3e6bc3bb5a52b0595aaf155ab2968aa6a

Observation 4edb5edd-7ee5-4646-95c2-159d7d56505a · outbound

This paper cites Cogview2: Faster and better text-to-image generation via hierarchical transformers.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Cogview2: Faster and better text-to-image generation via hierarchical transformers

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d631ec9d-26cf-4410-a7b7-226338d170c5 · outbound

This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 11

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source=pdf_text observed=2026-08-12T04:35:24.647382Z digest=sha256:f77bb623722e0518698aff4440b18589e7770cd0b204079a44817503a4b0ebb0

Observation ff18e23c-8e26-49b4-8e21-1f2054a6b392 · outbound

This paper cites Make-a-scene: Scene- based text-to-image generation with human priors.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Make-a-scene: Scene- based text-to-image generation with human priors

Reference 12

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source=pdf_text observed=2026-08-12T04:35:24.652047Z digest=sha256:caab85eedf3510a4d69afebeaba412ff7b3da9222ce9e0eb7de6f99fbe53b463

Observation 5c5cd1b7-0a1c-467f-b0f4-42c842ea6e94 · outbound

This paper cites Erasing Concepts from Diffusion Models.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Erasing Concepts from Diffusion Models

Reference 13

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source=pdf_text observed=2026-08-12T04:35:24.656362Z digest=sha256:3a3d84f684b8c056d40e9079ecf66b9c8bbd26da8c269d5d95a5dde23161dfd7

Observation a4bc67a3-ec10-4552-b831-8c590bace77c · outbound

This paper cites Unified concept editing in diffusion models.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Unified concept editing in diffusion models

Reference 14

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source=pdf_text observed=2026-08-12T04:35:24.660731Z digest=sha256:2d3a7be74213678b40d28747cbb1d7a979a3db7ef48b6b1991b31aba088d3bb6

Observation 5e464038-b887-45b0-8751-2668db8b1b64 · outbound

This paper cites Generative adversarial nets.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Generative adversarial nets

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.664742Z digest=sha256:100ba78a2a0c1ea26ff4de8a7b7abde0607c3e511311d4d4b206ef82d8a803a9

Observation cb7a4b67-03f1-4399-a769-84f730863879 · outbound

This paper cites Focus on your instruction: Fine-grained and multi-instruction image editing by atten- 10 tion modulation.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Focus on your instruction: Fine-grained and multi-instruction image editing by atten- 10 tion modulation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.668919Z digest=sha256:dc0e6a5a6c1a5ab77d48c26a67563375322b57fa70c8ce404fd40c3ad1a6f0db

Observation 542ab091-26ac-4096-b19a-72afc92aae31 · outbound

This paper cites Selective amnesia: A contin- ual learning approach to forgetting in deep generative mod- els.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Selective amnesia: A contin- ual learning approach to forgetting in deep generative mod- els

Reference 17

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source=pdf_text observed=2026-08-12T04:35:24.673109Z digest=sha256:7b8d03391f475bb0ad65c09171b992ecd6e05562118866eb7431e67faf7e8be5

Observation 42c41674-84fd-429f-8578-273f99cc7797 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 18

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Observation cb8339ec-8bef-49be-9d7f-dcc3705921ce · outbound

This paper cites Denoising dif- fusion probabilistic models.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Denoising dif- fusion probabilistic models

Reference 19

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source=pdf_text observed=2026-08-12T04:35:24.681590Z digest=sha256:9f20dd315edc907a47c53f22347612ccdd6ba313f225cd67b2de32f0929e6ec1

Observation 6243af55-c56a-4518-ba25-b18df796d80e · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

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Observation 0b0a70b3-ac06-4d97-be74-942c44f9dd13 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Imagic: Text-based real image editing with diffusion models

Reference 21

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Observation a44deeec-b919-43bb-8f08-537b8e6777dd · outbound

This paper cites SLiMe: Segment Like Me.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization SLiMe: Segment Like Me

Reference 22

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source=pdf_text observed=2026-08-12T04:35:24.694574Z digest=sha256:66c749428e91e42479f4594524576e099c5800bbce7a5933328e49187e5484e0

Observation 2ec65b77-40c9-4937-b0b5-e1db49f97e89 · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Ablating con- cepts in text-to-image diffusion models

Reference 23

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source=pdf_text observed=2026-08-12T04:35:24.699139Z digest=sha256:bf2f41ee08b65b2ecc99e9ba1fb48e86d3d0e252f06c845cb3c430a2591fe5aa

Observation 8b053124-6796-4183-aba6-57abbbfe499b · outbound

This paper cites Maskgan: Towards diverse and interactive facial image ma- nipulation.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Maskgan: Towards diverse and interactive facial image ma- nipulation

Reference 24

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Observation 3dc95fb2-c1e7-46e0-9636-7ec040c72dd5 · outbound

This paper cites Microsoft coco: Common objects in context.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Microsoft coco: Common objects in context

Reference 25

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source=pdf_text observed=2026-08-12T04:35:24.708254Z digest=sha256:a6f4769676069483e857a198d7853d20a634b8ea9fd6f9c8be02bb53e5b65151

Observation 686ae381-1b6a-42b1-be03-2bc5e94ed653 · outbound

This paper cites Tf-icon: Diffusion-based training-free cross-domain image composi- tion.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Tf-icon: Diffusion-based training-free cross-domain image composi- tion

Reference 26

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Observation 816eb914-41ff-4abf-bfb0-12a5683e0c13 · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Mace: Mass concept erasure in diffu- sion models

Reference 27

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raw_fallback, observed 2026-08-12T04:35:25.210322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.716567Z digest=sha256:7017a0847fec6eba17b6a2ffc0631192af1a041018ac9d71b9f8974e15dfd75d

Observation dfbc0320-ecf4-4087-9004-d376690ca66d · outbound

This paper cites Midjourney: An AI Art Generator.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Midjourney: An AI Art Generator

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-12T04:35:25.196949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.720524Z digest=sha256:44dfb0662dad8b97ab319be4f3b78e99e6dc8cf654f25dd03fb4847abd0ae46f

Observation 273251ed-1072-4cd3-ab23-3baa0f7e0a30 · outbound

This paper cites Watch your steps: Local image and scene editing by text instructions.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Watch your steps: Local image and scene editing by text instructions

Reference 29

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Observation d42bd7bc-3f2e-47a7-9b17-fb05097a3b44 · outbound

This paper cites Localizing object-level shape variations with text-to-image diffusion models.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Localizing object-level shape variations with text-to-image diffusion models

Reference 30

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Observation e8a97e9a-4d47-42e4-91dc-59f28a9e80d3 · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Learning transferable visual models from natural language supervi- sion

Reference 31

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Observation fff35ca2-a7d5-41a4-80bb-d1938b770bcc · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Zero-shot text-to-image generation

Reference 32

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source=pdf_text observed=2026-08-12T04:35:24.737646Z digest=sha256:374806d9a8f452ff85dd81de44b9ec55b193cfd9805d8b4e65779a5fc66d40a1

Observation cfdd5c93-515e-4ba3-94e9-198ed6361d7e · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 33

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Observation 5e370987-c47c-4192-a132-7a2a4a5c15cd · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Red-Teaming the Stable Diffusion Safety Filter

Reference 34

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Observation 84a995ef-5c4a-4834-8b50-f05ec458eb5b · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization High-resolution image synthesis with latent diffusion models

Reference 35

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source=pdf_text observed=2026-08-12T04:35:24.750182Z digest=sha256:47f37efb480ddf0180864f4d44921e6c1e5c9859d80756f90868b48bdf4719a2

Observation 91646b6b-0b7a-43cf-bf35-1d8706c003e1 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization U- net: Convolutional networks for biomedical image segmen- tation

Reference 36

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no resolver link, observed 2026-08-12T04:35:24.754538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.754538Z digest=sha256:c357ec81819d4beb60671296b56e9f22b5ddf9f2d1d07039730df0b644e160c2

Observation 76689d0b-9926-4c43-9f2d-cc0101e15542 · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Photorealistic text-to-image diffusion models with deep language understanding

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:35:25.135320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bfc2b1ab-c97c-47a5-82dc-cf82a1d4057b · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:35:25.122095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.763267Z digest=sha256:19e372481d6e0a2fc91012e53e0a5fe9798e118566a7a7e30e2ac882503a869a

Observation 800c9f4a-8dd4-4cbb-8097-c5c7e7772f5c · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 39

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a85f50bf-92e1-4a92-b8a0-096a318ad851 · outbound

This paper cites Stable Diffusion 2.0: A Text-to-Image Diffu- sion Model.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Stable Diffusion 2.0: A Text-to-Image Diffu- sion Model

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:35:25.100503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.771461Z digest=sha256:85ea4273b6fea6e29f44fce4f4b2ab120b24de3ff60b0cc72e75bec5c3521dcc

Observation b1a9c31c-a7aa-46a5-8e49-e2d34e433bfb · outbound

This paper cites Repurposing gans for one-shot se- 11 mantic part segmentation.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Repurposing gans for one-shot se- 11 mantic part segmentation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:35:25.087079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.775612Z digest=sha256:0b944a57bd6af650c59bd16095685a6de75733979deff9f92befede8b78fb05f

Observation ea9ad116-4953-42cc-861e-6f154e35e841 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Plug-and-play diffusion features for text-driven image-to-image translation

Reference 42

Resolution
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no resolver link, observed 2026-08-12T04:35:24.779671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.779671Z digest=sha256:a2792af5509e3183fc4542cad65ca58ac784edca9c0d93e432db68046325bbe6

Observation 80bf90f6-22b5-4063-90cd-ea337d759eaa · outbound

This paper cites Attention is all you need.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Attention is all you need

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:24.783697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.783697Z digest=sha256:f1cd036fc007f9a18e35046c86a85e9010d53f0063fcb45507d889cd7e16019a

Observation 7bb26aa1-af3c-4dd3-9f9c-c95737d4288b · outbound

This paper cites Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:24.787641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.787641Z digest=sha256:abff4ecf4d50160e7df012c0d1534d1ded0704993185ade7afb7ecb7a791b291

Observation 570d20bf-ee78-4360-928f-c088657d434d · outbound

This paper cites SegGPT: Segmenting Everything In Context.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization SegGPT: Segmenting Everything In Context

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:24.792312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.792312Z digest=sha256:b8616af9aadd6af78056336059e3b8e56cc0a0c678e159e64196a6b2a0fd0f97

Observation 7d95d886-7ebc-4150-bd40-bbde5c76045d · outbound

This paper cites Harnessing the spatial- temporal attention of diffusion models for high-fidelity text- to-image synthesis.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Harnessing the spatial- temporal attention of diffusion models for high-fidelity text- to-image synthesis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:35:25.056655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.796560Z digest=sha256:ae60b54a2e2710ad8c2d9f8f025c05b9bd1c206c2e166bc3c9cd7a1960ae57ea

Observation ddea1067-6577-4045-9ce6-c3905a2cd18b · outbound

This paper cites Versatile diffusion: Text, images and variations all in one diffusion model.

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Versatile diffusion: Text, images and variations all in one diffusion model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:24.801078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.801078Z digest=sha256:72f4fd3024bd02cedaed92cdbdf8c9e94e9b29d970ec521612e263680fc10746

Observation 82bfc744-df36-4cfa-a8b4-0af45d5360f3 · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:24.805460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:24.805460Z digest=sha256:9950def940c250f2c9a7bba960981ac40e21e0bdc48bbf8ccba1ed5b6c1af897

Observation 374d3762-4b91-44ad-9e07-f4021b7eee44 · outbound

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

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:35:25.033598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:35:24.809612Z digest=sha256:52c17493c9ed9c06dee431d6f493a319c89d2e09871078fdf0dec23e6b6daf0d

Pith citing papers

Observation 69b4b7bf-8864-40f6-a7d3-f591a972fd6a · inbound

NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation cites this paper.

NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:56:13.580993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T18:56:13.229054Z digest=sha256:60be20169f93cb5133fa507aea7c9fba053f547b40a3a9911cda33f7f9efac5c