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Paper Citation Record · LEDGER

SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.07944.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.07944 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:47:58.592181Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-09T05:50:28.329531Z

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 3706f2af-cbd4-4eee-adc1-8f1ae95ea530 · inbound

Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI cites this paper.

Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:50:28.331940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T19:27:18.774649Z digest=sha256:d3c10ab260ffa446c9ef98c709002331fa4079a23e8daeea27b9b7bd7e75f410

Observation 6140bbc3-9585-4538-907e-f5f13063a11b · inbound

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection cites this paper.

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-14T14:47:58.592181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:47:58.592181Z digest=sha256:522bbe4854f6b1a23930e165d492dfb5178c27b67789d2d8f286bce7a04c3c6b