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Paper Citation Record · LEDGER

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

As of 9 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.

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measured 0 of 1 external citation measurements

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

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Reference resolution

73 of 73 outbound references displayed

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External citation measurements

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-02T01:57:10.652809Z digest=sha256:de288111827745171e011519285f429361bb2c870ccaf96177debbdb08996065

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

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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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-02T01:57:11.128097Z digest=sha256:894ffe5d21701d16a8df06ad816856138eff635b93bdf41046259fa7387961db

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-02T01:57:12.094187Z digest=sha256:1ba1ca0ad48a0e7b83ef8a3624738c33608fb2763ea9d17c679b7a88c3e8c560

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

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source=pdf_text observed=2026-08-02T01:57:12.164105Z digest=sha256:656f83ca14046950843ccd730b41803739ec31d3d8c40a5cf53c5ca5537a4f89

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

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source=pdf_text observed=2026-08-02T01:57:12.222739Z digest=sha256:daad4c28932d7a21a3e71037f91157d3bd7bfcee4e7bceff9d95358c412f5b2e

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

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source=pdf_text observed=2026-08-02T01:57:12.284278Z digest=sha256:f9e271f210d5c510e05fd9d491e64cc3c09043ebf3b885cfa2287b62de2452b6

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

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source=pdf_text observed=2026-08-02T01:57:12.387392Z digest=sha256:cf7ae2b8c884954e9a59a9f814273c6844dbdaaafcd9d22c92839476ce56d38b

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

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source=pdf_text observed=2026-08-02T01:57:12.458648Z digest=sha256:7e4fb15f47f3edd8441b423b8eac2e45b543c1e287c8959843020ac6707722a1

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

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source=pdf_text observed=2026-08-02T01:57:12.515829Z digest=sha256:1c543b991fb2f44aad94f3aaea422c870599469fb7edf8df294036245d0f4a87

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

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source=pdf_text observed=2026-08-02T01:57:12.572412Z digest=sha256:b7ac1a9352ecfb5307e19b79f00f65fefea8377b7af8fc960553c2ac0b0bd04d

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

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source=pdf_text observed=2026-08-02T01:57:12.626750Z digest=sha256:42f9b7c832fddda95e52acaba915018b41715d9d6a088b9cf53d3b6f8b03f3c9

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

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source=pdf_text observed=2026-08-02T01:57:12.741375Z digest=sha256:8e2fbc4093b2e44cf8bf8491ffac76fc5f1ff538baf1908cdd90be57a28a8e68

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

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source=pdf_text observed=2026-08-02T01:57:12.814148Z digest=sha256:741d512bf3ae4455ab5d8a60d8279565bcc93d27f26ba18f88626d197c4b35f7

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

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source=pdf_text observed=2026-08-02T01:57:12.859075Z digest=sha256:685846cbc8aee57e0a87aabc874dee23988bf783417a7f1c416d14b36dfb33ca

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

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source=pdf_text observed=2026-08-02T01:57:12.962825Z digest=sha256:c0421d794ff344c061aba341012acc4861dfb058302643d306d8554ac15dec46

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

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source=pdf_text observed=2026-08-02T01:57:13.024220Z digest=sha256:1ea2419cb823198046aec8eea65cd7596d821ba857f9227ea7feefcdfab2894a

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

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source=pdf_text observed=2026-08-02T01:57:13.067190Z digest=sha256:84691e955e62a63d094dd5e5027929a106e1a141135c80e1f6c7ed79254645fc

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

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source=pdf_text observed=2026-08-02T01:57:13.135920Z digest=sha256:d492d6517faa7ac5485e503d078295b6fd66ef9d5b4e12c9c9b65f616b84c1d8

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

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source=pdf_text observed=2026-08-02T01:57:13.205474Z digest=sha256:09d1735d734173fb4e1077d7e626badbc22a0044c6b2f8895d20b0fdb359436f

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

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source=pdf_text observed=2026-08-02T01:57:13.262149Z digest=sha256:8ff026908635215822b0f95b94082f1486dd27fe677f0ced24e522601b8f27d2

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

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source=pdf_text observed=2026-08-02T01:57:13.353057Z digest=sha256:8fc6bb3b6219bd72903557db4e3ab623d8742d1b0b1a4df5d968b27f6bac2e32

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

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source=pdf_text observed=2026-08-02T01:57:13.487551Z digest=sha256:4d1b6c7c1b99d07cbf2b0130cc62da27364be08f33961b782e7d7491de1f16a2

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

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source=pdf_text observed=2026-08-02T01:57:13.664717Z digest=sha256:3c035530ce1ce459e6a3a39562ccb956383007437f76d0571de9464d1b2f774c

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

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source=pdf_text observed=2026-08-02T01:57:13.801017Z digest=sha256:a0a2fe54ad0b4d9c90bd131e382ae917834c189ca7649bc5c0ebfeb0c98adaa8

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

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source=pdf_text observed=2026-08-02T01:57:13.913433Z digest=sha256:9aefafb99ad72863a37bbae132736fcbf10d91c977c67893f0fe2a4820a5a8a2

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

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source=pdf_text observed=2026-08-02T01:57:14.004157Z digest=sha256:19ebe28c70bcdd2785d13722e9a944bd65d992866753e5f3ebad1527cfae68c5

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

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source=pdf_text observed=2026-08-02T01:57:14.109490Z digest=sha256:7f75c42dba5c43473fdf2483ad80363e29ba3484cef86692a9ef10d4e4cf73bc

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

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source=pdf_text observed=2026-08-02T01:57:14.259063Z digest=sha256:2f2e6471dc04a48a4165ff8a9ccd6332522e823d6ccc1ed84d49a9a6d3188c12

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

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source=pdf_text observed=2026-08-02T01:57:14.407946Z digest=sha256:e85fb6bd19eb0cd0ae38c41d49c9254d9f77438ead243978948cba27344dfa05

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

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source=pdf_text observed=2026-08-02T01:57:14.538159Z digest=sha256:0a38798d21bb525857810bbaef01a8613f8fd3178539621fdfc2151d6d90384b

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

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source=pdf_text observed=2026-08-02T01:57:14.669784Z digest=sha256:dc96cebece830d715cf500ff26fa74889e0424ccef0765cf312071652c89a698

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

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source=pdf_text observed=2026-08-02T01:57:14.769132Z digest=sha256:e9e7e649bebd1ca8e322f02519d666cf8545c3e314f88d271cad5cacf1d815e4

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T01:57:14.895753Z digest=sha256:1b318b6661b411814d7c2d17e5a34f293d61c6a63d461e624cd5bb1be91e9146

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T01:57:15.041611Z digest=sha256:e4efc845583c0f4f02cb85fe619599ed8feed87d0c9d1325b21832f425eb385f

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:15.143780Z digest=sha256:59a58993cd272a947eb52075f6438185c3409d3c333cea3f326f533fe289386a

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:57:15.258771Z digest=sha256:a35b7627e2099cbe227312e0350083347cbd25e32968a3f82f5c696c4afb4256

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T01:57:15.373409Z digest=sha256:fa9f520464886280506dc07ee44d03d268edbe119b12d3f9fa6d4d30979508b3

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

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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=sha256:106488492be71a35ad792809ca3f9d9d5d8367a15796f529f38ae3ad624f5017

Pith citing papers

No inbound Pith citation observations are available.