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Paper Citation Record · LEDGER

Generalizable Detection of Audio Deepfakes

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.745745Z digest=sha256:65dea4eee0a3821447d18a6c219891644406927646bd6669dfed41c87b775a12

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.751337Z digest=sha256:bc962cb0cf9a2874a8ebfc38a7b79d939483f7b2d7bbe624f4f673d1af0a9b39

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.755997Z digest=sha256:1b028b11fbbe12e5ce5acc73b96d1d1545137c30028b52bfa01ff7e5ed47902b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.760586Z digest=sha256:df8cb08d27944985ea35c1b72d628104a070c1e07145530d9687afab3bb81c42

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.765295Z digest=sha256:93734636587fe589ec9cb2bed5a44f038a7a05ddd35aecb82e223a8ffcd5710c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.769857Z digest=sha256:62e14ba223a2bc7931c68e6fd2ec47f770771097bdd12c928b2765521b534317

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.774669Z digest=sha256:a0393b2060570c4b2e4370c00381092d77fa71d5858d351cbb14775fde645b37

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.778982Z digest=sha256:2041c9a484c4bdf4978797000a00e341d2e6885a893f0725d7cfeb9fffb48a40

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.788351Z digest=sha256:5852f31bf495bce4d13d08454afb186cc0d49de7f54894129a6ef3a5f22d8bb4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.792897Z digest=sha256:3c3c525d836940b0d4396f313f1587e26391d5bfcd2998964290e2c0f64c8f4e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.797652Z digest=sha256:b446dbebc44d73ec062ad2d53ffa59b3c0f4ecc9904442e6f4557f6dd1db3029

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.807883Z digest=sha256:c836c553f63b01bafe557e864c74d912e7b0a15f01de03f56e5571bc1467568c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.812117Z digest=sha256:50da6bd9bbf96a0159b56b2b3ac85fb1dea103013903eb9e8c361f0000c4d857

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.817113Z digest=sha256:917ead25b724979c2cc4e746ca6d814179e997a1d26649aee472859b560e285c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.821782Z digest=sha256:d550e0abc0afe25a52a697652020205999795e04858ff0bd92a65dc51d33c250

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.827105Z digest=sha256:d0e0c64f22c6c1fbaecdd2135008b9cf6626170c41527ced6afe1153f15f2689

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.831773Z digest=sha256:0a12073204e136a8f2480bad2a58698b21367c833c7cc6e55b74b8a7c0ed8c21

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.836075Z digest=sha256:9701e46d12900b04ab7952a4fb09cd1945b12044d52c22cd195b5774995c20af

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.840516Z digest=sha256:a28343a8263fc72c66bea988ceec9ede901319a6043b1dfb3d698089350fb5c5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.845734Z digest=sha256:8eb3bf319f1b8506015b0932f3784602e1eafee6944f521e56b6a855238a0848

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

Resolution
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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.855182Z digest=sha256:50c871506f33eeb162b301904a3a0a76d2a0d0ad46411a12e224561a35c69f01

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.864130Z digest=sha256:14c5a7c89cf4f8ea2ffff16d57fc87dcffe31ec2e17e663f403e73af7a9cd29d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.868686Z digest=sha256:89277156d13347d47bf5bd7602363a5b2e2916315aea55e4160d0de54dce60cb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.878045Z digest=sha256:4388e4fe98eba239e04cc554f78d09cf602d1ec2d415ef7fd86d6c711d066302

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.882421Z digest=sha256:0420a3eb78344e51617e4a24c20d38f1d4d8a949454c6b26dfae918986fa72b0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.886910Z digest=sha256:cc0004568f2dfa846d2c365074b58cde186e88f2e8e27053fba3704a034e9304

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.891608Z digest=sha256:285085131ff54b62608ea577e6c7976bad778926ff07a43c35b287e9adc4b67c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.895938Z digest=sha256:e938d3a8a1a35212d8898ccd0c42b1ba412a5837be1e0c9b1b57f30c86bb9e8a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.900487Z digest=sha256:76c15d9063e1dde5e15df7f9ed668d5f095c76ec48800559ab03be3fec92561d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.904730Z digest=sha256:8ed12f0d01dd96f94004b196957dccffe1a466a118cd5f7262b9ea1236bdfb07

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.909348Z digest=sha256:88b2ec7be7995b2ae2f25646a80780a2fd1c66e05440709d1cd211e5d518c34b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.913650Z digest=sha256:883a1f19a03c85d74c7c4e87974b9a15c085c426416314e693c02056c3039a7c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.918855Z digest=sha256:6c3a1166c7c455f8a37536732c2702d62a0755efd263676106e16eb28c30fc3a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.923404Z digest=sha256:f972c5cb54b77781060a19d4cb515501b1adb05dbb449ae5eb845191214dba10

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.928650Z digest=sha256:3b15f42cc47d7898284bac26958b900cf742fe9556892cd0bf7ab870de610bba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.933151Z digest=sha256:545a6dc3a57ba5baa6e1a5d584ac5c20acf6cdf103b61d1ff6e27766b4b3b982

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.938043Z digest=sha256:dc79b37126ecb8590a11557af93210a64e283b73ba4df61019fa2e4dca3150ea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.942691Z digest=sha256:340c1c90d788653cbcdb553d230a2dfac98f57b786389a311f6bfad46f64ba22

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.947773Z digest=sha256:f71dd399e41d15f271c37a44a3fa589a4d9c8bb7bc9ac736036d0ba49ef858bc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.952065Z digest=sha256:e791b0dac4083a13602e29f9bdcb3d2670ed62ca8f9d9778008645585e07d0a2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.956673Z digest=sha256:c10cd70dc985653f8a7d62bd8fe1196d05a32943ff6babb660bef48b3832c6cb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.961972Z digest=sha256:21ad104e01c99f595d1f3e13445704dc84e805427215a5ea3b98a5e9d9383c6d

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:d1b429b2ee50ebe28820b5bfca47128aebe38832467c89d651b20cd34c785955

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.976695Z digest=sha256:25549a201b655d6073f674b23cbddd17821e9f7b5953381773434738901a29ad

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.981021Z digest=sha256:433a50e3128c5b138af1d1a4230d3aad8fa089c5c5de259c94b53bbfd119e942

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.986076Z digest=sha256:a11d5a6b14c7d3e5c9338191d32287019570aba834c67b76a94e18668c52402e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:50:16.966998Z digest=sha256:a431d4043f34d351b49b6fe21aa518b7ce94db479472d089bc9783b55b29fae0

Pith citing papers

No inbound Pith citation observations are available.