Paper Citation Record · LEDGER

Replay Attacks Against Audio Deepfake Detection

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2505.14862.

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

pith.paper-citation-record.v1
2505.14862 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:33:07.074934Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:33:04.012943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:41:34.619990Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy25
unresolved6
parse uncertain0
malformed identifier8
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f15cb01-01ff-4c85-9a3f-3131600b345f · outbound

This paper cites Replay Attacks Against Audio Deepfake Detection.

Replay Attacks Against Audio Deepfake Detection Replay Attacks Against Audio Deepfake Detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:04.012943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e622813c-9256-4815-837c-4db627d15102 · outbound

This paper cites liveliness detection.

Replay Attacks Against Audio Deepfake Detection liveliness detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:12.227896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7f9cc56-956f-4d76-8061-8cace1b9f19f · outbound

This paper cites The dataset spans six languages and incorporates attacks from four TTS models, ensuring an equal distribution between spoof and bona fide samples.

Replay Attacks Against Audio Deepfake Detection The dataset spans six languages and incorporates attacks from four TTS models, ensuring an equal distribution between spoof and bona fide samples

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:12.042173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 083c7139-57db-47e9-a53f-3eb0e332ad01 · outbound

This paper cites Evaluation Approach We evaluateReplayDFacross multiple scenarios to assess the impact of replay attacks on audio deepfake detection models.

Replay Attacks Against Audio Deepfake Detection Evaluation Approach We evaluateReplayDFacross multiple scenarios to assess the impact of replay attacks on audio deepfake detection models

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:33:11.808847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1377df10-d41f-4a55-9ef2-3f8e1ab2b726 · outbound

This paper cites an unresolved cited work.

Replay Attacks Against Audio Deepfake Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:33:11.636463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8cfff689-5237-4272-80ab-eed5bb21d2fe · outbound

This paper cites Par- rotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separa- tion,.

Replay Attacks Against Audio Deepfake Detection Par- rotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separa- tion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:11.484994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 544b676e-8b52-48ec-88fc-4b64fef931f1 · outbound

This paper cites How deepfake videos are used to spread disinformation - the new york times,.

Replay Attacks Against Audio Deepfake Detection How deepfake videos are used to spread disinformation - the new york times,

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:33:11.272921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e063a83a-b9f1-46d1-9cb1-15a5a6f45a2d · outbound

This paper cites Taylor swift nude deepfake goes viral on x, despite platform rules,.

Replay Attacks Against Audio Deepfake Detection Taylor swift nude deepfake goes viral on x, despite platform rules,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:11.112907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d00b6e99-dbb0-4ac4-906d-f049e7a35084 · outbound

This paper cites A voice deepfake was used to scam a ceo out of $243,000,.

Replay Attacks Against Audio Deepfake Detection A voice deepfake was used to scam a ceo out of $243,000,

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-07T15:33:04.433289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82a79549-0266-460b-ad85-f8aafbc7b9f1 · outbound

This paper cites NSE CEO deepfake: NSE urges caution after fake videos of CEO Ashish Chauhan recommend- ing stocks go viral - The Economic Times,.

Replay Attacks Against Audio Deepfake Detection NSE CEO deepfake: NSE urges caution after fake videos of CEO Ashish Chauhan recommend- ing stocks go viral - The Economic Times,

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-07T15:33:04.477141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5791e6a8-2684-4f31-93e7-739800d7cb38 · outbound

This paper cites A deepfake video showing volodymyr ze- lenskyy surrendering worries experts : Npr,.

Replay Attacks Against Audio Deepfake Detection A deepfake video showing volodymyr ze- lenskyy surrendering worries experts : Npr,

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:33:10.969882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 105e25e0-947a-412c-a0a2-b5c72bca3adb · outbound

This paper cites ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,.

Replay Attacks Against Audio Deepfake Detection ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:10.830471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0a4c034-67d6-417a-bcf8-41d48295a62e · outbound

This paper cites ASVspoof 2019: Future Horizons in Spoofed and Fake Au- dio Detection,.

Replay Attacks Against Audio Deepfake Detection ASVspoof 2019: Future Horizons in Spoofed and Fake Au- dio Detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:10.692407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c78e8a4-768d-4149-89b8-a2119e157e70 · outbound

This paper cites ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale,.

Replay Attacks Against Audio Deepfake Detection ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:10.539383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d9cc79f-8c51-434c-8352-7ce75bd6a2bd · outbound

This paper cites AI V oice Cloning: Clone your V oice in Sec- onds,.

Replay Attacks Against Audio Deepfake Detection AI V oice Cloning: Clone your V oice in Sec- onds,

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:33:10.405015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab0dfeac-66ef-42e4-aeb1-5e6383acacfa · outbound

This paper cites AI V oice Cloning,.

Replay Attacks Against Audio Deepfake Detection AI V oice Cloning,

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-07T15:33:05.136800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22fceb2-c7af-44e3-b63c-eed32db6e40a · outbound

This paper cites Create a replica of your voice that sounds just like you,.

Replay Attacks Against Audio Deepfake Detection Create a replica of your voice that sounds just like you,

Reference 17

Resolution: malformed identifier; no resolver link, observed 2026-08-07T15:33:05.253653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09bd5db-3d93-4e87-a47f-4484f25de3b2 · outbound

This paper cites Researchers say the deepfake biden robocall was likely made with tools from ai startup elevenlabs — wired,.

Replay Attacks Against Audio Deepfake Detection Researchers say the deepfake biden robocall was likely made with tools from ai startup elevenlabs — wired,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:10.273135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c17dd3f6-fa83-409f-9cb2-b00e55654748 · outbound

This paper cites A comparative study on recent neu- ral spoofing countermeasures for synthetic speech detection,.

Replay Attacks Against Audio Deepfake Detection A comparative study on recent neu- ral spoofing countermeasures for synthetic speech detection,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:05.520846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 874a396f-5dfb-4a0f-9727-ec50b77271e8 · outbound

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

Replay Attacks Against Audio Deepfake Detection End-to-End anti-spoofing with RawNet2,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:10.174457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7ca1767-aafe-42e1-9f56-d92f334c2bea · outbound

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

Replay Attacks Against Audio Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:05.763710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec79fc1-bc92-4158-9a8e-46b1645c2bec · outbound

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

Replay Attacks Against Audio Deepfake Detection Aasist: Audio anti-spoofing using integrated spectro- temporal graph attention networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:10.052018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d635a99-fa73-425a-b482-10f52e79090e · outbound

This paper cites Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection.

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 57bc9e74-6a83-49a2-9409-6071a1a5ec56 · outbound

This paper cites Does Audio Deepfake Detection Generalize?.

Replay Attacks Against Audio Deepfake Detection Does Audio Deepfake Detection Generalize?

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:09.889456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac2ebc40-5f58-487b-8e72-acd16a962367 · outbound

This paper cites Towards generalisable and calibrated audio deepfake detection with self- supervised representations,.

Replay Attacks Against Audio Deepfake Detection Towards generalisable and calibrated audio deepfake detection with self- supervised representations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:09.704299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 214cb1a1-6c81-46fa-8bb7-f1c26560a66a · outbound

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

Replay Attacks Against Audio Deepfake Detection Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:09.526108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20ef12e7-707b-4c74-aa13-fdae0d958fce · outbound

This paper cites Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap.

Replay Attacks Against Audio Deepfake Detection Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:06.428189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08780b66-a411-483d-b5d3-a40db40da6f0 · outbound

This paper cites Adversarial attack and defense: A survey,.

Replay Attacks Against Audio Deepfake Detection Adversarial attack and defense: A survey,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:09.320087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57d1bd23-13d1-4a80-b02c-198b817d30e8 · outbound

This paper cites Im- perceptible, robust, and targeted adversarial examples for auto- matic speech recognition,.

Replay Attacks Against Audio Deepfake Detection Im- perceptible, robust, and targeted adversarial examples for auto- matic speech recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:09.138575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c1fa9d4-fca9-4ec6-a760-e5866c9653d1 · outbound

This paper cites Synthesizing robust adversarial examples,.

Replay Attacks Against Audio Deepfake Detection Synthesizing robust adversarial examples,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:08.966495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffff627b-fdaa-4d74-8665-b0eaa8c35590 · outbound

This paper cites Room impulse responses help attackers to evade deep fake detection,.

Replay Attacks Against Audio Deepfake Detection Room impulse responses help attackers to evade deep fake detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:08.814589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 384641ac-e028-4b27-9f17-d9034fdb612c · outbound

This paper cites Im- proved DeepFake Detection Using Whisper Features,.

Replay Attacks Against Audio Deepfake Detection Im- proved DeepFake Detection Using Whisper Features,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:08.637799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96f8d372-72bb-496e-9425-3ca614939220 · outbound

This paper cites Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detec- tion,.

Replay Attacks Against Audio Deepfake Detection Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detec- tion,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:08.464854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb32aec9-d73d-487f-b3c8-f2ffc71aeafc · outbound

This paper cites End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detec- tion,.

Replay Attacks Against Audio Deepfake Detection End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detec- tion,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:08.282128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation daf92e7b-e8e3-4ea3-a788-7a0259150994 · outbound

This paper cites Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation,.

Replay Attacks Against Audio Deepfake Detection Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:08.114728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92216646-3346-4728-a740-2fd51e9964c5 · outbound

This paper cites Datasets – APTLY and LaSSoftE,.

Replay Attacks Against Audio Deepfake Detection Datasets – APTLY and LaSSoftE,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:07.904745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a0d79c8-3451-4e15-801c-e25cfd6dfce1 · outbound

This paper cites An Open Dataset of Synthetic Speech,.

Replay Attacks Against Audio Deepfake Detection An Open Dataset of Synthetic Speech,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:07.751424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb293d76-4857-4700-841f-44da79f04e4c · outbound

This paper cites Shortcut learning in deep neural networks,.

Replay Attacks Against Audio Deepfake Detection Shortcut learning in deep neural networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:07.580648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f3cee26-e954-4f0b-bf79-32e40bbb7bce · outbound

This paper cites Per- ceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,.

Replay Attacks Against Audio Deepfake Detection Per- ceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:33:07.405999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 2f15cb01-01ff-4c85-9a3f-3131600b345f · inbound