Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.01601.
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 2026-07-22T06:31:00.163083+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T11:48:10.283990Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T07:47:44.686109Z
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 97d166d2-6d4f-44ba-8ba9-d1ed5d05e214 · 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 2019: A large-scale public database of synthesized, converted and replayed speech
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:46:12.429403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation a4b4d8f8-a942-4a0f-b17a-b03b3960b7c2 · inbound
Natural Yet Challenging to Detect: Robust In-the-Wild TTS through EMA and Dual-Scoring Prompt Selection -- Submission for WildSpoof 2026 TTS Track cites this paper.
Natural Yet Challenging to Detect: Robust In-the-Wild TTS through EMA and Dual-Scoring Prompt Selection -- Submission for WildSpoof 2026 TTS Track ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T02:20:14.253804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation b6b16dbb-d5cd-47a1-a097-868f9c1c1dda · inbound
Anchoring the Unknown: Open-Set Model Attribution via Proxy-Anchor Learning cites this paper.
Anchoring the Unknown: Open-Set Model Attribution via Proxy-Anchor Learning ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T07:47:44.687604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.