Paper Citation Record · LEDGER

Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.17376.

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

pith.paper-citation-record.v1
2406.17376 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:33:05.978082Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:46:37.421464Z

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 8d635a99-fa73-425a-b482-10f52e79090e · inbound

Replay Attacks Against Audio Deepfake Detection cites this paper.

Replay Attacks Against Audio Deepfake Detection Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:05.978082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef719b6-c518-42c7-973b-52d2a786f017 · inbound

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection cites this paper.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.648833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4641ff93-3d4a-4de0-93a3-5f11e07fd094 · inbound

Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems cites this paper.

Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:19.945682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6598cdd6-df75-4811-8d62-1ab962ae27b4 · 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 Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:46:37.422869Z

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.

Observation bdbad376-d924-4084-97f4-3d7afb90acff · inbound

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection cites this paper.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-31T23:27:05.324499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d57647-b9c5-4509-8c87-b1b51aeceaf3 · inbound

Teffic-Audio: Tell Fact from Fiction cites this paper.

Teffic-Audio: Tell Fact from Fiction Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T10:28:22.248260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.