Paper Citation Record · LEDGER

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.21985.

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

pith.paper-citation-record.v1
2507.21985 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:15:04.663911Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

47 of 47 outbound references displayed

verified exact2
verified fuzzy32
unresolved13
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dcfc12df-46c0-43d8-99eb-bf2a4db607a7 · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Nudenet: Neural nets for nudity classification, detection and selective censoring

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.704436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1cac300-db54-4038-bd57-21b66ae54597 · outbound

This paper cites Towards making systems for- get with machine unlearning.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Towards making systems for- get with machine unlearning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.686657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3acac144-f0c9-42ef-bf78-426f66ebd064 · outbound

This paper cites Robust Classification via a Single Diffusion Model.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Robust Classification via a Single Diffusion Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.382570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d8d438-aece-44bb-9c59-1dba15145f7c · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.669114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65aa8408-070c-4be1-96d0-b0cc1cb2fcfe · outbound

This paper cites Prompting4debugging: Red- teaming text-to-image diffusion models by finding problem- atic prompts.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Prompting4debugging: Red- teaming text-to-image diffusion models by finding problem- atic prompts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.393736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f1963a-c042-41e3-ba33-c812608fec97 · outbound

This paper cites DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:15:04.947370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd43958b-afec-4b89-b28d-120eab871a24 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Imagenet: A large-scale hierarchical image database

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.652013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 332bf609-323b-442a-87f9-ec921093178b · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.635198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 811f7398-0b2c-445b-b4d2-9ad1df5ff3ae · outbound

This paper cites VLRM: Vision-Language Models act as Reward Models for Image Captioning.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models VLRM: Vision-Language Models act as Reward Models for Image Captioning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.420614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d79045c0-28b5-4157-9dfb-0bff4d346b28 · outbound

This paper cites SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.426810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ddda4c-4be2-4e73-87be-9b011bdd4d5e · outbound

This paper cites Erasing concepts from diffusion models.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Erasing concepts from diffusion models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.616168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b2b4ba2-bd34-437a-9093-980873bbbce2 · outbound

This paper cites HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:15:04.873199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f18cb872-5426-4e36-b018-884410a9457e · outbound

This paper cites Deep residual learning for image recognition.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Deep residual learning for image recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.448405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 876f1aa0-4400-4c5a-b7f7-1a2a3e314776 · outbound

This paper cites Classifier-Free Diffusion Guidance.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Classifier-Free Diffusion Guidance

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.454364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97f7b8c-91dd-49dd-a290-39af2b2f86e0 · outbound

This paper cites Model sparsity can simplify machine unlearning.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Model sparsity can simplify machine unlearning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.585092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7aec8a2-4fe9-4985-961f-2f7f866da914 · outbound

This paper cites Race: Ro- bust adversarial concept erasure for secure text-to-image dif- fusion model.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Race: Ro- bust adversarial concept erasure for secure text-to-image dif- fusion model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.566872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94165b14-df68-4d50-bc1d-6641639ca2a3 · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Ablating con- cepts in text-to-image diffusion models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.550130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bcba9a55-26e3-435c-a382-232ad97a01cb · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Your diffusion model is secretly a zero-shot classifier

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.534277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ccb6cc9-5b8d-402b-a5d5-1f64c3d4ebe3 · outbound

This paper cites Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.517897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bedf2af3-b15d-4053-8865-c2dada74b101 · outbound

This paper cites Machine Unlearning for Image-to-Image Generative Models.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Machine Unlearning for Image-to-Image Generative Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.493732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165a9624-9576-443b-8820-f6e60e00120b · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.501678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 840d5885-e51e-4484-887e-ada5e64a9757 · outbound

This paper cites Machine unlearning: Taxon- omy, metrics, applications, challenges, and prospects.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Machine unlearning: Taxon- omy, metrics, applications, challenges, and prospects

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.484256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14652e60-42aa-43b4-8c58-a608292f673d · outbound

This paper cites Riatig: Reliable and imperceptible adversarial text- to-image generation with natural prompts.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Riatig: Reliable and imperceptible adversarial text- to-image generation with natural prompts

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.468018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e00e52f-8126-4f3e-90cb-f0fbe307b840 · outbound

This paper cites Threats, attacks, and defenses in machine unlearning: A survey.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Threats, attacks, and defenses in machine unlearning: A survey

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.451487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c62cb3c2-486c-4bfa-87bb-b74cec515bfb · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Mace: Mass concept erasure in diffu- sion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.434130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab2e1941-04ca-4080-a2c7-6c7d9e5914bd · outbound

This paper cites Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.533133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a399db-1dcc-4575-a183-72590559a394 · outbound

This paper cites Coljailbreak: Collaborative generation and editing for jailbreaking text-to-image deep generation.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Coljailbreak: Collaborative generation and editing for jailbreaking text-to-image deep generation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.415115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d53e8e29-7bd4-4e27-96f7-0f2c49490d28 · outbound

This paper cites Hard to forget: Poisoning attacks on certified machine un- learning.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Hard to forget: Poisoning attacks on certified machine un- learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.397491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df1ae67e-d57d-4e06-8d9c-36b317e4a272 · outbound

This paper cites Direct Unlearning Optimization for Robust and Safe Text-to-Image Models.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Direct Unlearning Optimization for Robust and Safe Text-to-Image Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.554411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be248eef-d202-4600-90c1-c8a59e0d3315 · outbound

This paper cites Unified prompt attack against text-to-image generation models.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Unified prompt attack against text-to-image generation models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.378880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6305d0dc-4f4d-42e0-bdae-3970c9b0024a · outbound

This paper cites Marshall, Niv Cohen, Govind Mittal, and Chinmay Hegde.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Marshall, Niv Cohen, Govind Mittal, and Chinmay Hegde

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.363331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdd5f607-5c4b-4dc9-be09-511de9e0bfdd · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Learn- ing transferable visual models from natural language super- vision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.348725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85c4c143-ace1-4198-902b-26c3bbfff2b3 · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models High-resolution image synthesis with latent diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.333501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4b06e6d-cdc5-4a1d-956c-529194770dee · outbound

This paper cites Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.583168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0f2f63-ef7f-4551-b295-ba153e558c5f · outbound

This paper cites an unresolved cited work.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:15:05.316383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e37833cc-d08c-4987-b7f2-45dc621769c3 · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.292578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da10a04e-33df-405e-843e-f407fc9a8cfa · outbound

This paper cites Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.600890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a43bb60-706b-4841-b493-91e8653defd5 · outbound

This paper cites Attacks and defenses for generative diffusion models: A comprehen- sive survey.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Attacks and defenses for generative diffusion models: A comprehen- sive survey

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.265718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09975981-bd5a-40f9-8a58-594145693e2b · outbound

This paper cites Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:04.611643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75bcf99-f1a1-413b-a044-ea0efe7ffe9a · outbound

This paper cites Review of large vision models and visual prompt engineering.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Review of large vision models and visual prompt engineering

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.243927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de1e0b1e-4d4c-4f8b-8438-adf87ac983bf · outbound

This paper cites Machine unlearning: Solutions and challenges.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Machine unlearning: Solutions and challenges

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.222072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2d82b77-866c-4e2d-81d6-df022262b0a2 · outbound

This paper cites Prompt- driven contrastive learning for transferable adversarial at- tacks.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Prompt- driven contrastive learning for transferable adversarial at- tacks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.199217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1626b2b1-9027-4aa9-b8ad-cb312ee7ad55 · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Mma-diffusion: Multimodal attack on diffusion models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.178061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6a34e31-5b15-4a94-9e97-50164c1a1eed · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Sneakyprompt: Jailbreaking text-to-image generative models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.155709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12378b51-dc71-4fc0-b9bf-dcca4dd7797c · outbound

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

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.135344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4dc5a63-1986-4ec9-9bc6-105415da8c28 · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.Advances in neu- ral information processing systems, 37:36748–36776, 2024.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Defensive unlearning with adversarial training for robust concept erasure in diffusion models.Advances in neu- ral information processing systems, 37:36748–36776, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.117293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06ba92fe-a740-43fc-b4a9-a9beb506c535 · outbound

This paper cites Holding a sword,.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Holding a sword,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:15:05.099083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.