Pith. sign in

Paper Citation Record · LEDGER

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition

As of 10 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2607.14521.

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

pith.paper-citation-record.v1
2607.14521 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:57:15.521414Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

73 of 73 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved72
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79423910-1a05-4c48-aad7-aa582308267c · outbound

This paper cites Denoising diffusion probabilistic models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Denoising diffusion probabilistic models,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:07.652515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:07.652515Z digest=sha256:e5070093c2f2766d5329cf49818fb156c579fe29088393c37234bed86f69dff4

Observation 9f89a8cd-0d66-44de-9c37-27c9739419f5 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:07.746538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:07.746538Z digest=sha256:42c823449a90ca9b025c2fc17f0ffd49e94c221d4ff83718757f8ee6b40d7785

Observation 039b036c-f237-420b-8dc1-779292af047b · outbound

This paper cites Denoising Diffusion Implicit Models.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Denoising Diffusion Implicit Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:07.986207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:07.986207Z digest=sha256:f13051bb8477ff7a283576b579ae8200d993d669159054e4c09873bbb1562c8b

Observation 308f4c6f-1328-4744-a285-3970bb24f70b · outbound

This paper cites Classifier-Free Diffusion Guidance.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Classifier-Free Diffusion Guidance

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:08.188148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:08.188148Z digest=sha256:ef9829d4f47b6ef9abf0db1e1f6907d670aceb6b918bd4e9be0ec423bd12f131

Observation eadb31ee-8897-4b09-8737-34e7ecf71b06 · outbound

This paper cites Flow Matching for Generative Modeling.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Flow Matching for Generative Modeling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:08.341028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:08.341028Z digest=sha256:7fe3ee5e4a673c70f1499f0f73e739b3f13b445ec8828960ea200541058419f1

Observation b8b05510-85ff-46ce-8967-dd72067cd508 · outbound

This paper cites Multimodal learning with transformers: A survey,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Multimodal learning with transformers: A survey,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:08.569838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:08.569838Z digest=sha256:8f7802d6f15466fe1f950248b94dd171df59e57d6c6a91d44cbf45aa0e6bb405

Observation 6d9696ff-e28f-4d37-ab99-8552dc263b3f · outbound

This paper cites Conditional image generation with pixelcnn decoders,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Conditional image generation with pixelcnn decoders,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:08.722851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:08.722851Z digest=sha256:7ac2efd3569a0249c4d676bb438a2a6c9a714d0c2e38f8acac7fa03fbb2978d4

Observation 75016bee-d62e-42c7-9007-f5ee84d88849 · outbound

This paper cites Taming transformers for high-resolution image synthesis,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Taming transformers for high-resolution image synthesis,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:08.973702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:08.973702Z digest=sha256:3ce68a0913950f4389ebdd84984b85ca339f0417728e75535c4e6db9c66a0dc1

Observation 70fca8bb-2b5f-4f8a-bf6e-ee22ed7bf733 · outbound

This paper cites Maskgit: Masked generative image transformer,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Maskgit: Masked generative image transformer,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:09.129636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:09.129636Z digest=sha256:b1551f07a4edbb4bf15761fda87c0190d4fe5c087bbcd6f75064be8d08f9b4ff

Observation 49275255-5e2b-42af-8123-d45db1163708 · outbound

This paper cites Visual autore- gressive modeling: Scalable image generation via next-scale pre- diction,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Visual autore- gressive modeling: Scalable image generation via next-scale pre- diction,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:09.272061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:09.272061Z digest=sha256:7c43f94fa26dbf737e5bc3d4b6596fa2ee9c5a085c11f36ecad924b280bdc925

Observation b9681e26-220b-48c0-92d7-e1173014e661 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:09.438275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:09.438275Z digest=sha256:2a3b7b341e35ef1fc2ee81341cc861155d20f36f82e60280577425a3956bdebd

Observation 3a97ba7c-6c8e-4da7-8fed-b45aab92f8ed · outbound

This paper cites Generative adversarial networks in computer vision: A survey and taxonomy,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Generative adversarial networks in computer vision: A survey and taxonomy,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:09.629855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:09.629855Z digest=sha256:2e7ee2e92cda30a9b0aa39528ca8eda6b943122d33e979aad7cbc847e0ea3149

Observation 61191d4b-ab7d-447d-a703-f0aec2b7e42f · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Diffusion models beat gans on image synthesis,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:09.696244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:09.696244Z digest=sha256:4098e3b216d2da84ddf0b012b78482b71ef78f16a033a9247f9aa157c0c6b830

Observation 3bb3b029-0450-4b28-b15f-eec90d6cb554 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition High-resolution image synthesis with latent diffusion models,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:09.834233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:09.834233Z digest=sha256:e0438a379160dba67888f8f1a3f0b0422005ba073f00210a254f342c0e501473

Observation 016d98b8-55f0-4423-804b-bf5f3fd848a7 · outbound

This paper cites Scalable diffusion models with trans- formers,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Scalable diffusion models with trans- formers,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:09.939419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:09.939419Z digest=sha256:791c451ab5ed3d1bfba44adf50424fb6795c7bdb438386102302cf5f1af558e2

Observation e9ba34da-590b-42a3-a4e4-a3d06a0ba1e3 · outbound

This paper cites Sdxl: Improving latent diffu- sion models for high-resolution image synthesis,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Sdxl: Improving latent diffu- sion models for high-resolution image synthesis,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.107325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.107325Z digest=sha256:f73779c630e91e39772b81f96ffab3bc108f760373c9b3bb5f8fa8c70bd06bf5

Observation b97ea393-b9f5-43b9-8e28-a015bbb690f3 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Scaling rectified flow transformers for high-resolution image synthesis,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.260024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.260024Z digest=sha256:5407d3c6f84a5958c32e414d1748d445757684b7eb423e7d6e1fa56a353deb20

Observation b5a6a4fc-cf4a-4d32-9ac0-97f6fa423f86 · outbound

This paper cites Diffusion model-based image editing: A survey,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Diffusion model-based image editing: A survey,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.403837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.403837Z digest=sha256:082982dc0ecc1f9344d2a74d2c43fc7f611698e7637fb73db015b2a3cc9a7b03

Observation b9a37d86-1ae7-4d7f-b13f-a2489b1f300c · outbound

This paper cites Freeedit: Mask-free reference-based image editing with multi-modal instruction,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Freeedit: Mask-free reference-based image editing with multi-modal instruction,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.517902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.517902Z digest=sha256:a421279ea696c8a969206bba6795d48991c2f4da22d2d33a04595d3a2248b6cf

Observation a096edf7-1bde-4819-9b92-efcbda444176 · outbound

This paper cites Video diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Video diffusion models,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.652809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.652809Z digest=sha256:77ad1427d291332c22ecd2a91957a49fe449ae3291c631366ccff365d2e4ddc4

Observation e3ff882c-11f1-4052-9970-8012f9b2d663 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.728195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.728195Z digest=sha256:b1bad143c5e5be510db4a19c665518b898857bb71c53e1dccdc2e38278817aa2

Observation f1f19f72-63aa-4ba1-9554-7fb96a43ef72 · outbound

This paper cites Video gen- eration models as world simulators,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Video gen- eration models as world simulators,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.793618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.793618Z digest=sha256:68a2cdbbb7484cd49863425b6e43ee61b6fac237a60d41d7ade3a1b078c3ae7d

Observation 6612e85a-d931-4299-bc61-380dd4d09b4d · outbound

This paper cites Diffusion models in vision: A survey,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Diffusion models in vision: A survey,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.842401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.842401Z digest=sha256:2213f7d8aeb69479377549f3a6a7b972b5ad162663bae55fc87208184544d34e

Observation 3b458c09-4d50-4ce9-a492-3fd81921069f · outbound

This paper cites Depth-aware gener- ative adversarial network for talking head video generation,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Depth-aware gener- ative adversarial network for talking head video generation,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:10.926315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:10.926315Z digest=sha256:1cdecbaaec88f674c77645e403a9905b7a3f55c8b21a04cc35240ef64a44a876

Observation e74b2afe-3dad-45ef-a558-ea22b2beff91 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Cogvideox: Text-to-video diffusion models with an expert transformer,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.049006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.049006Z digest=sha256:f0dbdf892bc5e38ee53d08dfbf46e0a7dce1ac7ca3cc7feb00b13992629b5f6d

Observation dc2282c9-7fc2-4dab-abfe-3765c1519f7a · outbound

This paper cites Erasing concepts from diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Erasing concepts from diffusion models,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.128097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.128097Z digest=sha256:ecd75842a4da2482bd03226819f84099346d0d27927fca2f7515fbe94739e725

Observation 454c73f4-9c4f-4904-b180-073989944fd8 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Ablating concepts in text-to-image diffusion models,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.253398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.253398Z digest=sha256:f443d51daa0d3a2b971c1e1428648161a598c5fe7ff64486a4ae65b4fce0efed

Observation 1cc076a4-7e43-42a3-a55a-7bd5ff330a48 · outbound

This paper cites Mace: Mass con- cept erasure in diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Mace: Mass con- cept erasure in diffusion models,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.327062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.327062Z digest=sha256:1caafc168acb45cd8506a342ca4077efd1231dd7d0e9666eb48dc21da584cb74

Observation 0f4996bc-8034-462a-9d2c-604426dccd94 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.392785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.392785Z digest=sha256:0a211d914573f0ded2ffbac3afc7771a2f2fbc8a33769e1621931bbd2f4a7085

Observation bc53c36a-0794-420e-9d17-c4462d2e7e2f · outbound

This paper cites Editing implicit assump- tions in text-to-image diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Editing implicit assump- tions in text-to-image diffusion models,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.461503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.461503Z digest=sha256:afb1366d4f3f4cfc753b731b40b5efb5712ab1c70507b0e96f799cf3802e0949

Observation 31092a1c-505d-4246-8ab7-9fc0dbb2e03e · outbound

This paper cites Unified concept editing in diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Unified concept editing in diffusion models,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.526910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.526910Z digest=sha256:802235106ab060c4e635059915015d5093cbf93bc01f6095bee1ee2c813d2ba5

Observation 0df38cf8-3546-49e3-a18d-f0d9f8e98684 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Reliable and efficient concept erasure of text-to-image diffusion models,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.595565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.595565Z digest=sha256:6bfa313e8bc4caf923bf7eb14621d083cff8fae987beb1e28110043f122c40ac

Observation 4a866337-8fc6-4663-ae19-62e60a91f1d7 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Fantastic targets for concept erasure in diffusion models and where to find them,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.655096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.655096Z digest=sha256:7cb2dab19bc923964ee5f409d9cd2ff5cf9e80883c4ef98abc269e74076a0fbc

Observation f0d351eb-8269-4088-b344-a38fc5822313 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Safe latent diffusion: Mitigating inappropriate degeneration in diffu- sion models,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.730157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.730157Z digest=sha256:e8b7a5c8331eea191f0e7f03a8a98685a1c2961870509c5bb16af56c06ed3ed9

Observation f5f32adb-6ab4-41ae-ab8d-da27a836480b · outbound

This paper cites Safree: Training- free and adaptive guard for safe text-to-image and video gener- ation,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Safree: Training- free and adaptive guard for safe text-to-image and video gener- ation,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.858267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.858267Z digest=sha256:3d403d3c0197eeea418b45618ae7c64c4844f7a03d465880ef1a916f6cf2fdf1

Observation 706380a0-323b-4796-a3ae-9781272d1f5b · outbound

This paper cites GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:11.971947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:11.971947Z digest=sha256:c5e08d90832856e128903126430b8a7b47509ab5ee0dd1771adea526da1d5ace

Observation fa8b3952-958a-4133-bc1e-808b0ab095f9 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Speed: Scalable, precise, and efficient concept erasure for diffusion models,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.048275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.048275Z digest=sha256:37f37d924e314a0bf91deb4b49441b82bdca5891cf816075f0ad53070ce0778b

Observation 69b36886-c0c0-4531-b649-97cbeb2f8cd0 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Trce: Towards reliable malicious concept erasure in text-to-image diffusion models,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.094187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.094187Z digest=sha256:15fa0fdec8a1a2c281db70ff0109ce718f8bf90e667c5eaa6811e3c7586bca3f

Observation 2a2b2b13-df3c-4527-b18a-52483bb94206 · outbound

This paper cites Cure: Concept unlearning via orthogonal representation editing in diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Cure: Concept unlearning via orthogonal representation editing in diffusion models,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.164105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.164105Z digest=sha256:022889269ded8efedab6e99e3cc9aa198707d55af2aef5c361369ecc6d8bf92f

Observation 17a91951-adbf-4ef6-b084-b34e8fa16ed8 · outbound

This paper cites Eraseanything: Enabling concept erasure in recti- fied flow transformers,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Eraseanything: Enabling concept erasure in recti- fied flow transformers,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.222739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.222739Z digest=sha256:dccbe58794440969f1f73967f39dbc951d5e3edb197b5a26e687d855cd1351b6

Observation f549eea4-f4c6-4b2b-b388-84dc4ff6a8f0 · outbound

This paper cites Differential vector erasure: Unified training-free concept erasure for flow matching models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Differential vector erasure: Unified training-free concept erasure for flow matching models,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.284278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.284278Z digest=sha256:943466d16446f64cee662d4ebf967dcbce597e7de5ca46b25d8a567b01b0cb76

Observation f2273d6f-0ffe-4f90-a360-8f68e7db97d6 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Precise, fast, and low-cost concept erasure in value space: Orthogonal complement matters,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.387392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.387392Z digest=sha256:bfa91320dcc973dcade0ca049597a33d82ba4c66d6c17c17ca5ac6a89fe42d8a

Observation 7411eeeb-ad99-4410-af84-9bd9500e2cc0 · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Salun: Em- powering machine unlearning via gradient-based weight saliency in both image classification and generation,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.458648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.458648Z digest=sha256:72acfc71fa8d6a99de17a898a110140e69e878634c883abcba2c96dd8d791bbe

Observation 8aa78eac-8779-402f-81e1-74613eac815a · outbound

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

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Defensive unlearning with adversarial training for robust concept erasure in diffusion models,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.515829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.515829Z digest=sha256:0edfd1e8cbee1601df807a38ba384ff36fed293ab610502009ae16dd1ade0044

Observation fcef33e9-b57b-4bed-a26b-444f6ff8d7dd · outbound

This paper cites Stereo: A two-stage framework for adversarially robust concept erasing from text-to-image diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Stereo: A two-stage framework for adversarially robust concept erasing from text-to-image diffusion models,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.572412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.572412Z digest=sha256:a498d56848e2b8872f5eab5e9476c5847580281b17ea35f7fea6bbe1bd37969c

Observation dec859e8-73a6-447b-86c9-1d73cb902908 · outbound

This paper cites Co-occurring associated REtained concepts in diffusion unlearning,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Co-occurring associated REtained concepts in diffusion unlearning,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.626750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.626750Z digest=sha256:33978e12e7ee98945e76b99d82b83dfe710675ad80c2f59222c0e295e3a08264

Observation 2c5ea917-a360-4cb9-abaf-eff0ffd852ea · outbound

This paper cites Prototype-guided con- cept erasure in diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Prototype-guided con- cept erasure in diffusion models,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.741375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.741375Z digest=sha256:8b571911468484dc17612ecb7ee6421bf385c155d7379ac2b52653753d7c0339

Observation 4bf948df-fd41-447d-ad61-9e821c0a24ef · outbound

This paper cites black-forest-labs/flux,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition black-forest-labs/flux,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.814148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.814148Z digest=sha256:35a63bd30689038b2691d6e82517a11cd56d3706e5b4e0811b0ab4e6c4c2f878

Observation ed5d57ff-58df-4ed1-ae64-c5f4cff981d4 · outbound

This paper cites Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion Transformers.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion Transformers

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.859075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.859075Z digest=sha256:2e49e82e96b2835b1c15e6dbe252c2322dffda5b8b18baa0529eb005c6b0ca44

Observation dec7b25b-4e91-47c0-a4f1-d4b85c18a7f3 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:12.962825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:12.962825Z digest=sha256:3457af1528eb0dd7e8b5f6240a909d7e4311de4effa536b07e7f322ca2da150a

Observation f151be38-4c18-46ad-96ef-14164f5e435c · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Learning transferable visual models from natural language supervision,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.024220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.024220Z digest=sha256:a31a13bfc6b4e3cbf9b4cd16d0d4be318b8cdcf6879c1be988c8a7d051bd8604

Observation 57da4a9c-e7f4-4e23-9f12-6d1d232c9174 · outbound

This paper cites Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.067190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.067190Z digest=sha256:f18719d7474850925cdb3f4d67e9dc0cae3f060a5b4add107955f325c948e1d3

Observation d5a7728b-0bc6-4894-b716-ba68425e4342 · outbound

This paper cites Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.135920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.135920Z digest=sha256:78c941b358f8e8365b02106a1fa56ac25770433adfa5bcc58dd009542ddda424

Observation 008cf646-2b5b-40aa-a76a-a610d3667778 · outbound

This paper cites Ear: Erasing concepts from unified autoregressive models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Ear: Erasing concepts from unified autoregressive models,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.205474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.205474Z digest=sha256:cecd006d53620bcfb5d1bcc15c75257a83bfaddfb35a3cc58040ad9fdeae3957

Observation a50284ce-ea8a-471b-b826-31d47b79de80 · outbound

This paper cites Vce: Safe autoregressive image generation via visual contrast exploitation,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Vce: Safe autoregressive image generation via visual contrast exploitation,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.262149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.262149Z digest=sha256:a9ff46e58786ffb84ff486b753754273b7118b372e039b060a68e9b69cb51012

Observation 671e6f8d-810f-4920-9900-481d001ce89b · outbound

This paper cites Key-locked rank one editing for text-to-image personalization,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Key-locked rank one editing for text-to-image personalization,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.353057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.353057Z digest=sha256:34220dbaa58d2225d8a210783d9daebe7395458249a757fa889b3c213765667e

Observation f2cf3aa3-bf2a-487d-8143-8b9df8c9b442 · outbound

This paper cites Zeroscope v2 576w,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Zeroscope v2 576w,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.487551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.487551Z digest=sha256:26d27e49da92523fb50d32b09417fadcaf5106436bdb502e804ea38027c217f3

Observation 5e30d914-7b21-4f1d-aaab-30aba3ad4d8b · outbound

This paper cites Aiml-tuda/i2p,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Aiml-tuda/i2p,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.664717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.664717Z digest=sha256:c7361bb0ad143a235a8b48b45672477cd56d89cd4fff4054646e502b8e7b0f4e

Observation 871d1f0a-41da-4604-88b1-85c9e573d821 · outbound

This paper cites Safesora: Towards safety alignment of text2video generation via a human preference dataset,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Safesora: Towards safety alignment of text2video generation via a human preference dataset,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.801017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.801017Z digest=sha256:4727101456137d5caaa1a1fd68504305289dc57b3739aaa693d6f49aadae7242

Observation 43a3c13c-4a1a-444e-aa58-a2ad3bbb50ee · outbound

This paper cites Microsoft coco: Common objects in context,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Microsoft coco: Common objects in context,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:13.913433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:13.913433Z digest=sha256:6f759d694d189991337eac4892139953e154629e9bd8f70682c9bf3c8fb18ce0

Observation 7fbd4f00-520c-4587-beb6-5c2a99adf933 · outbound

This paper cites Ring-a-bell! how reliable are concept removal methods for diffusion models?.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Ring-a-bell! how reliable are concept removal methods for diffusion models?

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.004157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.004157Z digest=sha256:5134097930ebd74fd1683f50fa9eb5229f49e13013655d75af717e019db902d7

Observation 7badddbc-bec5-4df2-a299-72501ddda3b6 · outbound

This paper cites Mma- diffusion: Multimodal attack on diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Mma- diffusion: Multimodal attack on diffusion models,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.109490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.109490Z digest=sha256:892105c21f3fdfc06e15ecd45e212def98a28b2bc08ee5ad7a2bc25c0dd573ed

Observation dad39954-99f1-4c18-8f31-f196461c3081 · outbound

This paper cites Prompting4debugging: Red-teaming text-to-image diffu- sion models by finding problematic prompts,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Prompting4debugging: Red-teaming text-to-image diffu- sion models by finding problematic prompts,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.259063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.259063Z digest=sha256:b14bcc97093812d1d80c7e3834ac644e67fe0aebf437fb06629e23e3e9521d46

Observation 39f3abd8-6a9e-4450-9afe-69eeaa3c9cb5 · outbound

This paper cites To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images... for now,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images... for now,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.407946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.407946Z digest=sha256:56ab0dff4c9d2127bcb0ef9e8b3c2f2a19c656a81afb1e7d4cac9da4b933ae3a

Observation b6e3af18-c491-443b-a7ce-9304d9de8584 · outbound

This paper cites Clip- score: A reference-free evaluation metric for image captioning,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Clip- score: A reference-free evaluation metric for image captioning,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.538159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.538159Z digest=sha256:68715ac639dd5a57d87d8f5a9bf72a6ebe946586100c32169b7aa02ad8130ca0

Observation d3dce819-6f85-4109-a720-597b9f865528 · outbound

This paper cites Nudenet: Lightweight nudity de- tection,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Nudenet: Lightweight nudity de- tection,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.669784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.669784Z digest=sha256:331e6c7b682c7e171e42249b7787c3567fe5c976d435d34223cee504daa034a2

Observation 248434ad-8593-4b02-a12e-ea03e48f0ee2 · outbound

This paper cites Can machines help us answering question 16 in datasheets, and in turn reflecting on inappropriate content?.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Can machines help us answering question 16 in datasheets, and in turn reflecting on inappropriate content?

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.769132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.769132Z digest=sha256:04cff893b3d38a80ccf5d8988b4f76e20921c41c31c12d214776b936575f539c

Observation afcdf207-563b-4ed1-9941-a6a4f17b706b · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:14.895753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:14.895753Z digest=sha256:4663a1a66287550fd6c217b6b3c0467f658562f699a201a7ea91545511b60d98

Observation 713e3e57-e7fb-4825-8001-84d473b553f8 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Image quality assessment: from error visibility to structural similarity,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:15.041611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:15.041611Z digest=sha256:a313f9d195d54d6008b14139c823c627c593fd801b33b25cbcb156b5e0925b92

Observation 404a477c-78d5-465c-83c1-d60faf39a9b0 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition The unreasonable effectiveness of deep features as a perceptual metric,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:15.143780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:15.143780Z digest=sha256:bdcd413c89e31583dbc1d5d63c08e031ca928cdf3c80a2c1df4095ad400e87c2

Observation fc5adc88-f45e-483b-b7a3-ce8cef6dd55e · outbound

This paper cites Videoeraser: Concept erasure in text-to-video diffusion models,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Videoeraser: Concept erasure in text-to-video diffusion models,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:15.258771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:15.258771Z digest=sha256:658f0cdd5d1b6a3183ffacfe1084157f64d1cdf7332ddacb7a796a9412169dce

Observation 098ef4d3-9415-473c-bf68-72ceab60630b · outbound

This paper cites Neighbor- aware localized concept erasure in text-to-image diffusion mod- els,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Neighbor- aware localized concept erasure in text-to-image diffusion mod- els,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:15.373409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:15.373409Z digest=sha256:c4111add9be0f478738e8201fda84a1166413ca5db14dcc61c7016746add950b

Observation 08dd67f0-c8d5-467b-8d5b-dffc7c5b7b9e · outbound

This paper cites Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation,.

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation,

Reference 73

Resolution
malformed identifier
no resolver link, observed 2026-08-02T01:57:15.521414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:15.521414Z digest=sha256:e8c22d528d9c1829b0913be1b7ab7ffb3af9de93b462eb6610d287eec22d22d1

Pith citing papers

No inbound Pith citation observations are available.