Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attacks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.09637.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:50:20.911251Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T13:35:26.559465Z
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 8b5ff938-e045-4582-a60d-e83b74a80f32 · inbound
Can Emotion Fool Anti-spoofing? cites this paper.
Can Emotion Fool Anti-spoofing? Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attacks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:40:59.203416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fad7278b-d9c8-4504-a1fc-0d994fb57727 · inbound
ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks cites this paper.
ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attacks
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:35:26.560856Z
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 2389d46c-b44e-4b3e-8517-d02227bd7774 · inbound
AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks cites this paper.
AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attacks
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:50:20.911251Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.