Paper Citation Record · LEDGER

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.11868.

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

pith.paper-citation-record.v1
2310.11868 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:38:17.280459Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:33:25.672679Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1ee5a2f5-dd96-4aee-a815-f4f876489174 · inbound

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

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

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:56:23.471573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 678e795e-b5be-45ba-8444-16542a03c308 · inbound

When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-08T15:38:17.280459Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T11:02:04.894556Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:13.709615Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:52.349485Z

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:06:02.604297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de9b1bd4-bd57-469f-9ff2-f198d580d905 · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.139744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ded22946-1d20-42f4-97fc-b9f4b73d204c · inbound

Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:25.674382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.