Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.08857.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T08:35:24.321197Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T12:58:08.685100Z
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 f939b6fe-4c50-4132-a6c3-3747b09ea84a · inbound
Evaluating Generalization and Robustness in Russian Anti-Spoofing: The RuASD Initiative cites this paper.
Evaluating Generalization and Robustness in Russian Anti-Spoofing: The RuASD Initiative ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:46:12.459927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f53996a-03ae-4e23-b0aa-f5611a1485f0 · inbound
ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection cites this paper.
ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
Reference 6
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-10T06:46:37.425407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 21837105-b3bb-434e-9bab-07be0cb9e2c4 · inbound
SpAArSIST: Sparsified AASIST for Efficient and Reliable Anti-Spoofing cites this paper.
SpAArSIST: Sparsified AASIST for Efficient and Reliable Anti-Spoofing ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T12:58:08.686723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.