Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploiting and Defending Against the Approximate Linearity of Apple's NeuralHash
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.14258.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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 2026-08-15T14:57:52.151773Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T20:08:37.740631Z
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 6486d116-4c7f-461e-8fcf-f6370aa8ffa9 · inbound
Perceptual Hash Inversion Attacks on Image-Based Sexual Abuse Removal Tools cites this paper.
Perceptual Hash Inversion Attacks on Image-Based Sexual Abuse Removal Tools Exploiting and Defending Against the Approximate Linearity of Apple's NeuralHash
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:08:37.774496Z
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 b3c5c344-ce9a-4901-ac83-ff4196f5cf90 · inbound
Double Down on Defense: Strengthening Deep Perceptual Hashes against Evasion Attacks without Retraining cites this paper.
Double Down on Defense: Strengthening Deep Perceptual Hashes against Evasion Attacks without Retraining Exploiting and Defending Against the Approximate Linearity of Apple's NeuralHash
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:57:52.151773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.