Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.17796.
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 2026-08-08T23:48:28.641087Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T00:34:47.254534Z
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 4f6c72df-60b1-45f6-8575-4933289dd704 · inbound
Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components cites this paper.
Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:48:28.641087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdc98a69-0f02-49e3-ac08-6914e78cf405 · inbound
Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations cites this paper.
Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:55:22.751688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 620f9e5c-8bd2-4289-90f8-8bc9f2f8eaeb · inbound
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion cites this paper.
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:51:11.040230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adfc4e81-0ec7-4039-b49f-18abbbf58be9 · inbound
Open-Set Source Tracing of Audio Deepfake Systems cites this paper.
Open-Set Source Tracing of Audio Deepfake Systems Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:12:10.291772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d994f93-36d9-46d0-8cf6-8d74e121e930 · inbound
Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages cites this paper.
Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
Reference 112
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:34:47.256022Z
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.