Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.11868.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:02.850999Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T10:33:25.672679Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 1ee5a2f5-dd96-4aee-a815-f4f876489174 · inbound
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 147
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f488ffb4-9e10-4a0d-bf99-4ae29b21f4a0 · inbound
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96b47666-ec5b-4e21-b70b-d73ba3d0848e · inbound
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a85b3527-1e43-4469-a789-12cbd3d5fbc0 · inbound
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 678e795e-b5be-45ba-8444-16542a03c308 · inbound
When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 60
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af008e0a-7b31-4323-a8ba-e6b94dc8137e · inbound
PRJ: Perception-Retrieval-Judgement for Generated Images To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e4b0eb9-622c-48fa-990a-0292835121e0 · inbound
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 73
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 615fcfd1-3c5e-437e-a0ae-cc0ac3553150 · inbound
PLA: Prompt Learning Attack against Text-to-Image Generative Models To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0d75f1d-7d2a-4c92-888c-febdf077b6b9 · inbound
Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation de9b1bd4-bd57-469f-9ff2-f198d580d905 · inbound
Representation-Guided Parameter-Efficient LLM Unlearning To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 88
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ded22946-1d20-42f4-97fc-b9f4b73d204c · inbound
Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 546fff3e-c4ee-47fc-8615-70289ae2763a · inbound
MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Reference 258
Source-reported events for the cited work
Unavailable: canonical work link unavailable.