Paper Citation Record · LEDGER

Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2106.12914.

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

pith.paper-citation-record.v1
2106.12914 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:44:30.041044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T03:15:17.056764Z

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 b5146934-6c6f-4c46-971e-98b7caa7daa7 · inbound

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset cites this paper.

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:36:00.859108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ff8c039-2b88-415d-81d0-c3259f4fd4a5 · inbound

Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning cites this paper.

Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:44:30.041044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9bd389-bc5e-4a08-afdc-686f54d94c39 · inbound

DeePen: Penetration Testing for Audio Deepfake Detection cites this paper.

DeePen: Penetration Testing for Audio Deepfake Detection Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:45:19.464531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d350a536-2e4e-4c06-976a-453ad440e1ac · inbound

Alethia: A Foundational Encoder for Voice Deepfakes cites this paper.

Alethia: A Foundational Encoder for Voice Deepfakes Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:41:30.779331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ae057ebe-36b9-4d35-a7fc-5c27b8dac178 · inbound

MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio cites this paper.

MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:15:17.059650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 04b91278-7924-4940-842e-a029f3932e61 · inbound

Layer-Wise Decision Fusion for Fake Audio Detection Using XLS-R cites this paper.

Layer-Wise Decision Fusion for Fake Audio Detection Using XLS-R Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T11:03:27.603106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7631c976-57bd-4421-9c04-22fa68bd1068 · inbound

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks cites this paper.

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-08T11:50:21.141690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.