Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.12027.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:07.881934Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:49:57.317552Z
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 339eb2ec-aa0f-40ac-92ea-da77036e7b8a · inbound
Is Perturbation-Based Image Protection Disruptive to Image Editing? Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 450828aa-e73b-4bae-baf4-0e1136c7620d · inbound
Anti-Tamper Protection for Unauthorized Individual Image Generation Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d4b06e4-65cb-4678-9a21-2b89bbb33f3d · inbound
VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d30a3ea8-9426-4c76-b3c1-11464762152d · inbound
Natural Identifiers for Privacy and Data Audits in Large Language Models Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.