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Paper Citation Record · LEDGER

Generalizable Detection of Audio Deepfakes

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.01750.

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

pith.paper-citation-record.v1
2507.01750 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:50:16.986076Z

measured 52 of 52 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact4
  • verified fuzzy41
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f70488c-eea8-41a3-8603-efa08e58d0a6 · outbound

This paper cites Fbi warns of increasing threat of cyber criminals utilizing artificial intelligence,.

Generalizable Detection of Audio Deepfakes Fbi warns of increasing threat of cyber criminals utilizing artificial intelligence,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:23.339001Z

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=2026-08-06T20:50:16.745745Z digest=sha256:1790fa65fe2fad28b68856f4017c5f1adf9d17b1ebc67378e46638e312188d31

Observation 32025b7f-36f3-4268-aea7-dd5cce59e3e7 · outbound

This paper cites Pay-to-play: Access to justice in the era of ai and deep- fakes,.

Generalizable Detection of Audio Deepfakes Pay-to-play: Access to justice in the era of ai and deep- fakes,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:23.191862Z

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=2026-08-06T20:50:16.751337Z digest=sha256:456915b116031966635f65be53cebe5469c096928bef389995cd22e3bfb78772

Observation 06479550-9fef-4425-8dc8-18f2993a67e3 · outbound

This paper cites Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge,.

Generalizable Detection of Audio Deepfakes Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:23.068828Z

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=2026-08-06T20:50:16.755997Z digest=sha256:d85952c4dd35308bb22524cdd9e13b12012c22eb50316396450a8649d293f1f2

Observation b3b5ad94-bff8-41a4-a49c-4e0e762322ff · outbound

This paper cites Automatic speaker verification spoofing and countermeasures challenge (asvspoof 2015) database,.

Generalizable Detection of Audio Deepfakes Automatic speaker verification spoofing and countermeasures challenge (asvspoof 2015) database,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.945158Z

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=2026-08-06T20:50:16.760586Z digest=sha256:9aa674eff54d75749c5ef3a0392c28b7b591c1e68165612ddb29aa0f8ea535e1

Observation 8c0cd200-f89f-4568-bb40-e7f9a542a1ef · outbound

This paper cites The asvspoof 2017 challenge: Assessing the limits of replay spoofing attack detection,.

Generalizable Detection of Audio Deepfakes The asvspoof 2017 challenge: Assessing the limits of replay spoofing attack detection,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.801167Z

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=2026-08-06T20:50:16.765295Z digest=sha256:be4290783bec7d3519b7990870e433ad2a89dc6a5d10fb9f03e587189faf20bd

Observation 74beae96-f75d-46c1-bf98-92d158a7263b · outbound

This paper cites The 2nd automatic speaker verification spoofing and countermeasures challenge (asvspoof 2017) database, version 2,.

Generalizable Detection of Audio Deepfakes The 2nd automatic speaker verification spoofing and countermeasures challenge (asvspoof 2017) database, version 2,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.663959Z

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=2026-08-06T20:50:16.769857Z digest=sha256:30ad5337d3e24f8a5579ada1d1586938908597cf55e9a48b4eb27494193efaea

Observation 3c1c70d2-1b4f-4932-ac52-94d6914b7abb · outbound

This paper cites ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection,.

Generalizable Detection of Audio Deepfakes ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.504721Z

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=2026-08-06T20:50:16.774669Z digest=sha256:90a088b64422276a1a9be5319517d8bcc57a56150b7a5f9f3cdb79e0bce821df

Observation 42690f01-465a-434d-b1fc-7b49ed2b773e · outbound

This paper cites Asvspoof 2019: The 3rd automatic speaker verification spoofing and countermeasures challenge database,.

Generalizable Detection of Audio Deepfakes Asvspoof 2019: The 3rd automatic speaker verification spoofing and countermeasures challenge database,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.391927Z

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=2026-08-06T20:50:16.778982Z digest=sha256:cc36694a6e6d2c20334c42d1e793eddb968959b84913c9cfa9c58c8fde356729

Observation 9e350314-1a0c-4a9c-9428-0e6585f295ff · outbound

This paper cites ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild.

Generalizable Detection of Audio Deepfakes ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:16.783557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:16.783557Z digest=sha256:6f57cf6380f6e2a1b0d43b418979c2a4c313021f2c9936910240433ec248f84e

Observation d9741157-32ba-4216-8375-4721f9a4da9d · outbound

This paper cites Asvspoof 2021 challenge - logical access database,.

Generalizable Detection of Audio Deepfakes Asvspoof 2021 challenge - logical access database,

Reference 10

Resolution
verified exact
raw_fallback, observed 2026-08-06T20:50:17.331614Z

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=2026-08-06T20:50:16.788351Z digest=sha256:9fe360956674ce636f122ba41a2aa936addab55e7b423faac5824bb8f88c49b4

Observation df2c3136-89d4-4e8a-b647-5e4902504f2e · outbound

This paper cites Asvspoof 2021 challenge - physical access database,.

Generalizable Detection of Audio Deepfakes Asvspoof 2021 challenge - physical access database,

Reference 11

Resolution
verified exact
raw_fallback, observed 2026-08-06T20:50:17.240874Z

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=2026-08-06T20:50:16.792897Z digest=sha256:1eaf825679d986b7f0318254ba256c4390f53e2c46043920cc064b5a4cf7489d

Observation 3314f024-a785-4c11-bc5e-663238402d9f · outbound

This paper cites Asvspoof 2021 challenge - speech deepfake database,.

Generalizable Detection of Audio Deepfakes Asvspoof 2021 challenge - speech deepfake database,

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-06T20:50:17.163391Z

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=2026-08-06T20:50:16.797652Z digest=sha256:eb353f65a09ce93bc8c787162b6bab116e52ed6e68074bca74851d9050147ae5

Observation f1fde9ea-1f3b-4407-84d4-dbff35c66b3c · outbound

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

Generalizable Detection of Audio Deepfakes ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:16.802078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:16.802078Z digest=sha256:41fb7bda60729179e87f4614939acba4306c7b06976f8ffedd5c3afba8fb2719

Observation d8f3e947-4b8b-42a0-909b-192a8b55a19b · outbound

This paper cites Asvspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech,.

Generalizable Detection of Audio Deepfakes Asvspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech,

Reference 14

Resolution
verified exact
doi, observed 2026-08-06T20:50:22.284049Z

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=2026-08-06T20:50:16.807883Z digest=sha256:f60ca5bdb1ff38ce30f16a7f3958859c7b6f3852e09efb0193b8a67306095fe8

Observation c9d0aadb-3b4c-4452-b57f-9edd7744a166 · outbound

This paper cites Add 2022: the first audio deep synthesis detection challenge,.

Generalizable Detection of Audio Deepfakes Add 2022: the first audio deep synthesis detection challenge,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:22.076228Z

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=2026-08-06T20:50:16.812117Z digest=sha256:09512399bf2f8ddff1d59bbbfcb5efa030aa61fe41d9ca808ad47df3bb9aaf9b

Observation d77b73d3-736b-4c1f-842e-d09e78632e18 · outbound

This paper cites Does audio deepfake detection generalize?.

Generalizable Detection of Audio Deepfakes Does audio deepfake detection generalize?

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:21.878283Z

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=2026-08-06T20:50:16.817113Z digest=sha256:aa6499ea5e259f47fe4bf2b25102df4385d238bbb5c1a9dff84827a32b429a8a

Observation dbf91de0-2c76-4997-ba74-baa66a3b79a8 · outbound

This paper cites Dataset artefacts in anti- spoofing systems: A case study on the asvspoof 2017 benchmark,.

Generalizable Detection of Audio Deepfakes Dataset artefacts in anti- spoofing systems: A case study on the asvspoof 2017 benchmark,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:21.680081Z

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=2026-08-06T20:50:16.821782Z digest=sha256:5ba7a679da5d497eb5d4391f1f4ef2e9b497794cef37a8c10b43b71a147153c9

Observation 8d115779-de40-45f2-a941-38f1889364d2 · outbound

This paper cites The effect of silence and dual-band fusion in anti-spoofing system,.

Generalizable Detection of Audio Deepfakes The effect of silence and dual-band fusion in anti-spoofing system,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:21.497630Z

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=2026-08-06T20:50:16.827105Z digest=sha256:792f8212db4d1216625150995cbc253aee043210e09d43ce05d1ed51013c200c

Observation 0466529b-99dd-4381-8b0b-dc252eef9255 · outbound

This paper cites Speech is silver, silence is golden: What do asvspoof- trained models really learn?.

Generalizable Detection of Audio Deepfakes Speech is silver, silence is golden: What do asvspoof- trained models really learn?

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:21.261435Z

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=2026-08-06T20:50:16.831773Z digest=sha256:7004bca0c711bfb20a5a684b455aa6201b94b5f6f456341faab566f907d5da81

Observation 10388cf0-b1f2-49a4-a716-0ad16d963502 · outbound

This paper cites Investigating self-supervised front ends for speech spoofing countermeasures,.

Generalizable Detection of Audio Deepfakes Investigating self-supervised front ends for speech spoofing countermeasures,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.981115Z

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=2026-08-06T20:50:16.836075Z digest=sha256:4fcea6b0acf2acb32ded82b499e15a22c2e2f99b0dcba24a9a080c353229891e

Observation 185e1814-3f7d-4e73-b2da-b486529d3b0a · outbound

This paper cites Does audio deepfake detection generalize?.

Generalizable Detection of Audio Deepfakes Does audio deepfake detection generalize?

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.796448Z

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=2026-08-06T20:50:16.840516Z digest=sha256:6779c71ef59062a76906ba09d1ede51c6be68973be1ddd4b14d182f61db4aeaa

Observation 986a95c6-4590-4415-859d-1ba95bf1ea35 · outbound

This paper cites The m-ailabs speech dataset,.

Generalizable Detection of Audio Deepfakes The m-ailabs speech dataset,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.649076Z

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=2026-08-06T20:50:16.845734Z digest=sha256:6f5e5258f90cae5a459cf33e0c0665c47ac7c1f482f0fa864b1f5f80701d9aa6

Observation cf5adb1d-55ff-4a3a-81ae-0504bcdfcdfe · outbound

This paper cites Mlaad: The multi- language audio anti-spoofing dataset,.

Generalizable Detection of Audio Deepfakes Mlaad: The multi- language audio anti-spoofing dataset,

Reference 23

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unresolved
no resolver link, observed 2026-08-06T20:50:16.850485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:16.850485Z digest=sha256:786f0b71ec96028747f3046141198b6109c44b2e08f5d69f8077a21b07e94f6b

Observation 5036f07c-6f49-4ca6-bf31-a1e50c72d5f3 · outbound

This paper cites Deepfake de- tection challenge,.

Generalizable Detection of Audio Deepfakes Deepfake de- tection challenge,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.490890Z

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=2026-08-06T20:50:16.855182Z digest=sha256:4d4ac4dee2c36488fcdb5f88bacfc9e8463378b70bcbf1edbb00b94cf847c1d7

Observation 324cee1f-2cb8-4fc5-abb0-5e7da24f6085 · outbound

This paper cites FakeA VCeleb: A novel audio-video multimodal deepfake dataset,.

Generalizable Detection of Audio Deepfakes FakeA VCeleb: A novel audio-video multimodal deepfake dataset,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:16.859634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:16.859634Z digest=sha256:439f2c6361c9e515b2d99a27a32ec66224a46e38548f26663ce1c36e70028b64

Observation 92f81717-fdf0-4835-ba3f-4af946b064ed · outbound

This paper cites Dfdc video audio labels,.

Generalizable Detection of Audio Deepfakes Dfdc video audio labels,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.246787Z

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=2026-08-06T20:50:16.864130Z digest=sha256:95d3ddc509b83c0d2cfd408d4fa21400a167fff4c8e5dbbcf915746598bfb594

Observation 71efe77a-c01f-4854-ad0e-fd12fd30b61f · outbound

This paper cites SPEECON – speech databases for consumer devices: Database specification and validation,.

Generalizable Detection of Audio Deepfakes SPEECON – speech databases for consumer devices: Database specification and validation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:20.094188Z

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=2026-08-06T20:50:16.868686Z digest=sha256:cf0d9dc5c11ea02856399c12138abceff474430ec4c952e3d42926d37bd88fae

Observation 2338ea49-b3a9-4991-b8cd-83cc2037da96 · outbound

This paper cites Silero vad: pre-trained enterprise-grade voice activity detector (vad), number detector and language classifier,.

Generalizable Detection of Audio Deepfakes Silero vad: pre-trained enterprise-grade voice activity detector (vad), number detector and language classifier,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:16.873419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:16.873419Z digest=sha256:1b6a079d2b0250e643b2bb60bf3bb7888e0966f6ddfc0447ae1461d8fbaade02

Observation 20c55ea7-3769-4713-a5cd-45f635942fdd · outbound

This paper cites Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders,.

Generalizable Detection of Audio Deepfakes Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.969945Z

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=2026-08-06T20:50:16.878045Z digest=sha256:bc0e21a05f0a3a0bc8e26e647c3890249c67d4f351e742a854af801bb897dc06

Observation c9d31b9f-5001-4059-b481-ec347d10cf32 · outbound

This paper cites Hugging face,.

Generalizable Detection of Audio Deepfakes Hugging face,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.862615Z

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=2026-08-06T20:50:16.882421Z digest=sha256:88a64dc4cd2bac932ed79ffa3e5f35bc0d80c7feda2ef145eecd554e42d5c89a

Observation 3769c3d5-1217-47cf-b35b-1fde16751b41 · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,.

Generalizable Detection of Audio Deepfakes Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.751014Z

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=2026-08-06T20:50:16.886910Z digest=sha256:2fd8408b538c90604852e107045744bc353a088105bed6977aa66b6d86b68079

Observation 89c499ac-be46-4d53-b9f7-f61ca944f52e · outbound

This paper cites Melgan: Generative adversarial networks for conditional waveform synthesis,.

Generalizable Detection of Audio Deepfakes Melgan: Generative adversarial networks for conditional waveform synthesis,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.643729Z

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=2026-08-06T20:50:16.891608Z digest=sha256:7a6d47deb586637c2817f5903f8173abde96bbc22d578dceb4b05a6b398d9fe8

Observation 1cabab34-cf5c-46d6-b414-46e6ac8c3086 · outbound

This paper cites World: A vocoder- based high-quality speech synthesis system for real-time applications,.

Generalizable Detection of Audio Deepfakes World: A vocoder- based high-quality speech synthesis system for real-time applications,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.548369Z

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=2026-08-06T20:50:16.895938Z digest=sha256:59f1e07b424e41a9059477571791b07d54e0e53c974013b2f9bd864f196b2d06

Observation f2fe1ac6-b347-42c5-b39f-be58d14988b0 · outbound

This paper cites Waveglow: A flow-based generative network for speech synthesis,.

Generalizable Detection of Audio Deepfakes Waveglow: A flow-based generative network for speech synthesis,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.448921Z

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=2026-08-06T20:50:16.900487Z digest=sha256:7618ff013e0f36d807c5aa5f2b38713d9c9fc75de314bb724d2e9e1cd2f84222

Observation fc3560d7-174c-4d2d-b8e8-2fc9d173f1c2 · outbound

This paper cites Neural Source-Filter Wave- form Models for Statistical Parametric Speech Synthesis,.

Generalizable Detection of Audio Deepfakes Neural Source-Filter Wave- form Models for Statistical Parametric Speech Synthesis,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.346798Z

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=2026-08-06T20:50:16.904730Z digest=sha256:484a34cc4446996afbc2ea86e2a392416ce654fb2d2d227a9078f2ea0336041e

Observation e071f367-c5cc-4483-8f30-3ef9d1be8b84 · outbound

This paper cites Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?.

Generalizable Detection of Audio Deepfakes Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.254459Z

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=2026-08-06T20:50:16.909348Z digest=sha256:dc5ee1a5156f189e95b114827785b8f0a54bb71bf9bdaa87f2147639cd784986

Observation 50f5bd35-edae-4412-a2bf-0655ac9e0131 · outbound

This paper cites The lj speech dataset,.

Generalizable Detection of Audio Deepfakes The lj speech dataset,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.135544Z

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=2026-08-06T20:50:16.913650Z digest=sha256:1338d562272fdedd7c2f11e3cac791b6d6bb14094c4ff74f6e00b378254fa854

Observation fb347732-0a6f-4212-8db8-05a46721b0ac · outbound

This paper cites fairseq: A fast, extensible toolkit for sequence modeling,.

Generalizable Detection of Audio Deepfakes fairseq: A fast, extensible toolkit for sequence modeling,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:19.013277Z

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=2026-08-06T20:50:16.918855Z digest=sha256:fd6834b73205b09cbd61c021959d35136c19f0535f1c3732c17699b0cb273583

Observation c61f8662-0d1c-45ab-bb2f-9377a2f3b748 · outbound

This paper cites Stc antispoofing systems for the asvspoof2021 challenge,.

Generalizable Detection of Audio Deepfakes Stc antispoofing systems for the asvspoof2021 challenge,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:18.911561Z

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=2026-08-06T20:50:16.923404Z digest=sha256:5f5c46ea8790faff2a75d8ef1741fd1dd609dce46ac2578130e5875955eb03bd

Observation 7cde1841-c8da-46c6-9ba2-23adf4acaa32 · outbound

This paper cites Averaging weights leads to wider optima and better generalization,.

Generalizable Detection of Audio Deepfakes Averaging weights leads to wider optima and better generalization,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:18.772247Z

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=2026-08-06T20:50:16.928650Z digest=sha256:f8997cc60f8369ba9135e23d0c563d1da649f054241bc3bc31c9a247f689c452

Observation c388115b-0a68-476d-886f-82cbcb33909c · outbound

This paper cites Focal loss for dense object detection,.

Generalizable Detection of Audio Deepfakes Focal loss for dense object detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:18.642389Z

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=2026-08-06T20:50:16.933151Z digest=sha256:2d92147901dd4bb8b44ca76e05ed9d4e9b2493d111a29e6d7b70783e2240916e

Observation 186616aa-2745-4f11-9750-f023fc645983 · outbound

This paper cites A discriminative feature learning approach for deep face recognition.

Generalizable Detection of Audio Deepfakes A discriminative feature learning approach for deep face recognition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:18.485513Z

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=2026-08-06T20:50:16.938043Z digest=sha256:cba6a43e63042c307bf9ceb3663dbd7d4af4332b581cdbc3bfeb6f97923e4732

Observation ddbdbac7-5648-4f65-b5f6-b413c3a218e0 · outbound

This paper cites One-class learning towards synthetic voice spoofing detection,.

Generalizable Detection of Audio Deepfakes One-class learning towards synthetic voice spoofing detection,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:18.294235Z

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=2026-08-06T20:50:16.942691Z digest=sha256:041b1badbea5001730e77dee1e3621625a3f368f4b86ee53fa9ea6f65bf9a554

Observation 7e9744ca-d05a-4da3-b928-07d5190864ff · outbound

This paper cites Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,.

Generalizable Detection of Audio Deepfakes Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:18.163224Z

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=2026-08-06T20:50:16.947773Z digest=sha256:eadeea9fa0e89a544f42cab9cd0a4e74d570acf7f35e549129133f673ceacca5

Observation 38d45f89-8b0b-4404-a903-129cb51c18e2 · outbound

This paper cites Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,.

Generalizable Detection of Audio Deepfakes Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:18.001991Z

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=2026-08-06T20:50:16.952065Z digest=sha256:f22b13b113d905ebbc05b49219c0aec006050edcb4e7202a51bb4244ac877b42

Observation 537dce94-5783-4dcc-872b-5edc014087d4 · outbound

This paper cites A binaural room impulse response database for the evaluation of dereverberation algorithms,.

Generalizable Detection of Audio Deepfakes A binaural room impulse response database for the evaluation of dereverberation algorithms,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:17.807239Z

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=2026-08-06T20:50:16.956673Z digest=sha256:55b2ae5aaa3aeff2bc177d6d5a40e3e0d1973c35e584e1b0cc4ee022e457f67c

Observation 9e12b4eb-8065-404b-b37e-6780049b66c3 · outbound

This paper cites Ustc-kxdigit system description for asvspoof5 challenge,.

Generalizable Detection of Audio Deepfakes Ustc-kxdigit system description for asvspoof5 challenge,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:17.653535Z

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=2026-08-06T20:50:16.961972Z digest=sha256:092e79fe8c412771e77bdcad211c0fb99eaf75ded1e5e7e76cbbb178b05e237e

Observation 42cb75f9-39b7-423c-bb7c-3bc589e478c5 · outbound

This paper cites High Fidelity Neural Audio Compression.

Generalizable Detection of Audio Deepfakes High Fidelity Neural Audio Compression

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:16.971975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:16.971975Z digest=sha256:825046c258e2cf46757f2885a6d11e14672d305c2af7af0c3b7b42c97a64db37

Observation 54d9c851-8eb9-44ad-8477-7b4a0b123ee4 · outbound

This paper cites Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods,.

Generalizable Detection of Audio Deepfakes Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:17.537242Z

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=2026-08-06T20:50:16.976695Z digest=sha256:76443d9cf51334c559716510915296edaebbbd404aab2fca540280847a4429c9

Observation 41011f27-23cf-42fb-95ac-dfee072b23b0 · outbound

This paper cites Towards measuring fairness in speech recognition: Fair-speech dataset,.

Generalizable Detection of Audio Deepfakes Towards measuring fairness in speech recognition: Fair-speech dataset,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:17.419346Z

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=2026-08-06T20:50:16.981021Z digest=sha256:1d20d11cf95144c6a443a5e4756629eef16f06f3a60c92d42edf36e8974b7c5b

Observation 95796c49-dddb-4e52-a0e9-09eb7ba09949 · outbound

This paper cites Torchaudio-squim: Reference-less speech quality and intelligi- bility measures in torchaudio,.

Generalizable Detection of Audio Deepfakes Torchaudio-squim: Reference-less speech quality and intelligi- bility measures in torchaudio,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:50:17.378615Z

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=2026-08-06T20:50:16.986076Z digest=sha256:a8c9b8ac978d410c6e4c5c2ef49ea642cd89823405a06e43edf937a6c18972af

Observation edbd3f11-7325-4290-ba3c-e61b03cb593d · outbound

This paper cites USTC-KXDIGIT System Description for ASVspoof5 Challenge.

Generalizable Detection of Audio Deepfakes USTC-KXDIGIT System Description for ASVspoof5 Challenge

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T20:50:17.046952Z

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=2026-08-06T20:50:16.966998Z digest=sha256:2bfa1a21b2cd5d6cd122568139a756bdd26b875cd7a575dac42607b3e1ba829e

Pith citing papers

No inbound Pith citation observations are available.