Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.17577.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T22:53:18.321056Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T10:36:52.218694Z
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 45bb5d01-2935-453b-8288-39b70abcc2d3 · inbound
Alethia: A Foundational Encoder for Voice Deepfakes cites this paper.
Alethia: A Foundational Encoder for Voice Deepfakes Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T02:18:24.167264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26a15731-826b-4655-a27a-28802bf6860f · inbound
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations cites this paper.
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T02:18:24.167264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dc8221c9-bc64-4041-9f89-7c0aef9b4dbc · inbound
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations cites this paper.
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T02:18:24.167264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 476ddff7-a0a2-4bce-9220-b4e98ad9ac5e · inbound
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations cites this paper.
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T02:18:24.167264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6881d8c5-09bf-4cf8-9508-38edcbfe3873 · inbound
FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors cites this paper.
FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-07T02:18:24.167264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad9b3cea-342f-4d09-8e5d-54e926bd05ab · inbound
Proteus: Automated Adversarial Robustness Testing for Audio Deepfake Detectors cites this paper.
Proteus: Automated Adversarial Robustness Testing for Audio Deepfake Detectors Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T02:18:24.167264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.