Paper Citation Record · LEDGER

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias

As of 6 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2605.09087.

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

pith.paper-citation-record.v1
2605.09087 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:47:39.356612Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:31:12.227216Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact6
verified fuzzy27
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c849373d-8ede-4cbe-9287-b758a6747e5b · outbound

This paper cites Audio deepfake detection using deep learning.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Audio deepfake detection using deep learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.088776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f718db31-6ece-474b-ab94-231410fe5524 · outbound

This paper cites A Comprehensive Survey of Deep- Fake Generation and Detection Techniques in Audio-Visual Media.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias A Comprehensive Survey of Deep- Fake Generation and Detection Techniques in Audio-Visual Media

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.125463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6ddcfcb4-a75f-4093-8907-b6c96e5471c4 · outbound

This paper cites ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.031739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e246035f-3488-498e-ba58-b5067a9a24fd · outbound

This paper cites End-to-end anti-spoofing with RawNet2.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias End-to-end anti-spoofing with RawNet2

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.072942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dedbf830-698a-43c3-9385-3b62581c71b2 · outbound

This paper cites AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.080531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 56289e23-c509-4c57-beb1-55848930dd09 · outbound

This paper cites WavLM: Large-scale self-supervised pre-training for full stack speech processing.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias WavLM: Large-scale self-supervised pre-training for full stack speech processing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.095231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 349a9e42-fd24-452e-8ecb-a81ad143a1e4 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.056788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d23bb94-2b62-4eb4-bf68-a1139fa94480 · outbound

This paper cites Sonar: A synthetic AI-audio detection framework and benchmark.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Sonar: A synthetic AI-audio detection framework and benchmark

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.151190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 56535364-50e9-4f1a-a78c-470818bf2837 · outbound

This paper cites Acoustic analysis of speech.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Acoustic analysis of speech

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.146698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90b3b9eb-e43b-43fa-9b46-334e0af18cd1 · outbound

This paper cites Bias in data-driven artificial intelligence systems.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Bias in data-driven artificial intelligence systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.041075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b8ba8494-53ef-4786-acb6-384e0b45a259 · outbound

This paper cites Fair voice biometrics: Impact of demographic imbal- ance on group fairness in speaker recognition.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Fair voice biometrics: Impact of demographic imbal- ance on group fairness in speaker recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.049071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dcdd70b5-a985-4afb-b7e8-61f0256adea7 · outbound

This paper cites Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.037470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2f5d8f56-0240-4f32-88c1-c14499cbae22 · outbound

This paper cites FairSSD: Understanding bias in synthetic speech detectors.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias FairSSD: Understanding bias in synthetic speech detectors

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.117388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 595b1741-d6d2-4321-babb-c3ba65cfc031 · outbound

This paper cites Evaluation of the Human Capacity to Detect Spanish Deepfake Audios with a Paraguayan Accent.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Evaluation of the Human Capacity to Detect Spanish Deepfake Audios with a Paraguayan Accent

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.142514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 906df9f4-697f-4acb-9a66-a94b2e306fba · outbound

This paper cites Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-12T02:51:18.034467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9efe687f-b1cf-43fc-81cb-d7dc614be600 · outbound

This paper cites Fairness without demographics in repeated loss minimization.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Fairness without demographics in repeated loss minimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.034265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6cbad8bb-ca60-491d-9e49-2adfceb01bbe · outbound

This paper cites Bias Mitigation Strategies in AI.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Bias Mitigation Strategies in AI

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.131963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bf541c3c-e3c3-414f-a40e-ce22190f36ab · outbound

This paper cites AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.022949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9528a3c5-a977-45df-8a18-92f73adb9e05 · outbound

This paper cites A survey on bias and fairness in machine learning.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias A survey on bias and fairness in machine learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.137433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9671c2ca-2d0a-4f4a-a93c-4749434e4e6f · outbound

This paper cites A review on fairness in machine learning.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias A review on fairness in machine learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.030279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3d407101-ece8-4967-b8a7-0258495d6049 · outbound

This paper cites GBDF: Gender balanced deepfake dataset towards fair deepfake detection.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias GBDF: Gender balanced deepfake dataset towards fair deepfake detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.037809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd816d6f-bb82-4f10-9cbb-29eca1a0f6ee · outbound

This paper cites Improving fairness in deepfake detection.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Improving fairness in deepfake detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.066135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bcff46e4-efee-4fe9-9e22-243f84134cb4 · outbound

This paper cites Preserving fairness generalization in deepfake detection.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Preserving fairness generalization in deepfake detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.106540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c28e291-bb22-4672-8624-be763088cd20 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Unsupervised domain adaptation by backpropagation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.112724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb36e233-d9c4-4399-9366-713f8a3268e1 · outbound

This paper cites Fairness Through Awareness.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Fairness Through Awareness

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.015243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba28f039-985a-4a68-a4a3-4deeb3570cbc · outbound

This paper cites Equality of Opportunity in Supervised Learning.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Equality of Opportunity in Supervised Learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.021370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 999f4a21-0f92-4c22-b9f0-393d1dc3f555 · outbound

This paper cites Fair Prediction with Disparate Impact.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Fair Prediction with Disparate Impact

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.156002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e10951e-4517-4291-9409-3e0eb7124a94 · outbound

This paper cites Fairness in Criminal Justice Risk Assessments.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Fairness in Criminal Justice Risk Assessments

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.006989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 316b4c22-1430-4b33-9998-1ca1a40d343d · outbound

This paper cites Phonetic Analysis of Real and Synthetic Speech Using HuBERT Embeddings: Perspectives for Deepfake Detection.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Phonetic Analysis of Real and Synthetic Speech Using HuBERT Embeddings: Perspectives for Deepfake Detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.012031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ddac51b5-fd9e-4627-b685-cc12b8d85359 · outbound

This paper cites PhonemeDF: A Synthetic Speech Dataset for Audio Deepfake De- tection and Naturalness Evaluation.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias PhonemeDF: A Synthetic Speech Dataset for Audio Deepfake De- tection and Naturalness Evaluation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.026091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d8130382-8f7f-4bcc-b6ab-b0b5ce302e20 · outbound

This paper cites Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.026305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b1fd19f-0de8-40c6-bb18-7aa6e088f1d5 · outbound

This paper cites Ge- ographic Bias Analysis and Cross-Domain Generalization in Deep Learning-Based Building Damage Assessment.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Ge- ographic Bias Analysis and Cross-Domain Generalization in Deep Learning-Based Building Damage Assessment

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:41:54.003353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3fa1a2d7-2ea8-4120-b15c-ea5796c38dd1 · outbound

This paper cites The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 Treatments.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 Treatments

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.028837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 73935482-afbe-4434-a944-96162db457c5 · inbound

Cloned Voices, Real Consequences: Evaluating Bias in Political Deepfake Detection for Electoral Integrity in Brazil cites this paper.

Cloned Voices, Real Consequences: Evaluating Bias in Political Deepfake Detection for Electoral Integrity in Brazil Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T00:31:12.227216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.