Paper Citation Record · LEDGER

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2306.01902.

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

pith.paper-citation-record.v1
2306.01902 v2

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 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:23.326963Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:07:56.125747Z

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 adbf43f3-9ec6-4c33-bc1a-2994d88c5769 · inbound

Watermarking Visual Concepts for Diffusion Models cites this paper.

Watermarking Visual Concepts for Diffusion Models Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T18:18:04.466273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db131aef-3f55-4d7d-acc8-ff391b49feb5 · inbound

Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models cites this paper.

Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T15:01:39.140530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5e1828-3829-49ae-8f03-41b5525a3090 · inbound

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints cites this paper.

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:23.326963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155a81cd-511c-49f1-b5bd-9eee723f3498 · inbound

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges cites this paper.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:01.669579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 094d2314-3b83-4cdd-80bd-38f01036becd · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:19.675313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f8718b1-d227-46f0-8a83-b3ff1723aac8 · inbound

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model cites this paper.

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:40.881741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dfd6fc44-3e2e-48f2-a383-e2331b6d52dd · inbound

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models cites this paper.

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:07:56.127222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4bea95e0-510a-4adf-bdc1-0ad5673c14ea · inbound

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders cites this paper.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T10:41:43.164852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.