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Paper Citation Record · LEDGER

A Comparative Study on Proactive and Passive Detection of Deepfake Speech

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2506.14398.

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

pith.paper-citation-record.v1
2506.14398 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:12.648402Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:57.362820Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:24:12.707344Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved11
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94e52052-6d66-4def-837b-421b48716b27 · outbound

This paper cites an unresolved cited work.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:24:13.261140Z

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=2026-08-07T00:23:57.205394Z digest=sha256:9bcb6382e84e04223dabcd956c3f38d9042c2879ea981234c88b0845e9abc5a8

Observation 84f5f51a-90e6-4fe0-8d33-9f52fd0f66e7 · outbound

This paper cites A Comparative Study on Proactive and Passive Detection of Deepfake Speech.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech A Comparative Study on Proactive and Passive Detection of Deepfake Speech

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:24:12.716203Z

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=2026-08-07T00:23:57.362820Z digest=sha256:d9dc0cf0f112962cc76f523eb002c8b0aedfda9a36665ab1e35829620e5f12ad

Observation 7b113fc2-3b07-4d12-986e-32dbaf0aec8a · outbound

This paper cites 1, upon which we compare deepfake detectors and watermarking mod- els for binary deepfake detection.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech 1, upon which we compare deepfake detectors and watermarking mod- els for binary deepfake detection

Reference 3

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T00:24:13.249516Z

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=2026-08-07T00:23:57.526074Z digest=sha256:2b21ecf5991c409ab769c934fc534455d01231b9bd9de17d434087798f5d901f

Observation f680e8a0-f7ae-4428-a92a-2af9e04c22f3 · outbound

This paper cites an unresolved cited work.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Unresolved cited work

Reference 4

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T00:24:13.234842Z

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=2026-08-07T00:23:57.742024Z digest=sha256:462afd639c55d865eda1d5f2d6e19302b43dfc4bb56447f3585702b86547e13a

Observation 2c45c944-ac14-4fdd-92b8-d643a487d94e · outbound

This paper cites an unresolved cited work.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:24:13.224328Z

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=2026-08-07T00:23:57.915455Z digest=sha256:e15f295c70f94fdb521e8c5e0e0b7e72a57eebd32071e2f3a821ee668fe2914c

Observation 1fdfc482-3cb9-46c6-bc99-73ee01574c92 · outbound

This paper cites This study was partially supported by JST AIP Acceleration Research (JP- MJCR24U3), MEXT KAKENHI Grant (24H00732), and JST PRESTO (JPMJPR23P9).

A Comparative Study on Proactive and Passive Detection of Deepfake Speech This study was partially supported by JST AIP Acceleration Research (JP- MJCR24U3), MEXT KAKENHI Grant (24H00732), and JST PRESTO (JPMJPR23P9)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.214587Z

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=2026-08-07T00:23:58.065636Z digest=sha256:517014e402392ffae4c1b0a4c518fe066a7eb4b22daaba20990d3c9ed0ea40a5

Observation 55b3b3be-71cb-4a1c-853f-78f80679515f · outbound

This paper cites AASIST: Au- dio anti-spoofing using integrated spectro-temporal graph atten- tion networks,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech AASIST: Au- dio anti-spoofing using integrated spectro-temporal graph atten- tion networks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.204490Z

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=2026-08-07T00:24:10.842706Z digest=sha256:e257ebc396742ece30ee9a07c31309f30f16ba59c28d76d093398fd41fc02b30

Observation 74a2edf1-93f8-4f23-a983-6aa454abc9c3 · outbound

This paper cites SLIM: Style- linguistics mismatch model for generalized audio deepfake detec- tion,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech SLIM: Style- linguistics mismatch model for generalized audio deepfake detec- tion,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.191283Z

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=2026-08-07T00:24:11.796775Z digest=sha256:bbc3df018046efbf65a6e6528fbc78fb42ac2e5cf73840faba5761567bde8dcc

Observation e29bff90-697a-4f23-b801-171df567474c · outbound

This paper cites ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.177612Z

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=2026-08-07T00:24:12.024046Z digest=sha256:4316c572b68b54bcdbbbe86a05ed80ef26ee812dd69b9e2736ce66dec1604fdc

Observation 3d1d87f1-3041-4864-a6ab-085d3215aaf7 · outbound

This paper cites The codecfake dataset and countermeasures for the universally detection of deepfake audio,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech The codecfake dataset and countermeasures for the universally detection of deepfake audio,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.165778Z

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=2026-08-07T00:24:12.107159Z digest=sha256:069c2ab218a44060e6f1a2511b4d8cbe2e4c6031f4fc118a469ff3cc28569e7d

Observation adbc1dea-0a6e-4d6e-9e4f-a80ce13f455a · outbound

This paper cites Detecting voice cloning attacks via Timbre watermarking,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Detecting voice cloning attacks via Timbre watermarking,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.153375Z

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=2026-08-07T00:24:12.163238Z digest=sha256:5463685048000e3973dc2705f762d6b0bc326e51b20d8d89780d72e37d65fe8c

Observation aa18528f-b450-4c73-bc0e-6a4029f93ca6 · outbound

This paper cites Proac- tive detection of voice cloning with localized watermarking,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Proac- tive detection of voice cloning with localized watermarking,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.141131Z

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=2026-08-07T00:24:12.229177Z digest=sha256:f8fba02f3861643d912fa8e3f681d46a329053be3f9e870e126c993fe1d29cff

Observation 311e1817-95b1-4738-ae96-46cd3c487aea · outbound

This paper cites WavMark: Watermarking for Audio Generation.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech WavMark: Watermarking for Audio Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.285060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.285060Z digest=sha256:1e593752c5df5b85a3ae4604f458b4bfb0d6748bbb2fb575315836c93398fb32

Observation 750bc13b-9ad3-4c5b-ba0b-41a17d412ab0 · outbound

This paper cites AudioMark- Bench: Benchmarking robustness of audio watermarking,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech AudioMark- Bench: Benchmarking robustness of audio watermarking,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.130580Z

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=2026-08-07T00:24:12.350819Z digest=sha256:a63664ef44141e35d6044f00090d18916cd0f9c8eaa617520d8874b3d24a61f0

Observation adb7e8b7-8887-4a0a-bd6a-68110b2fecb1 · outbound

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

A Comparative Study on Proactive and Passive Detection of Deepfake Speech One-class learning towards syn- thetic voice spoofing detection,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.384936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.384936Z digest=sha256:e0a7b4031207862124d2e86bb1e2dc1e1174d13ce74f4bb53ccad7c0bce4ee34

Observation 65c9d9b1-b319-4de8-af96-cc7e2b43a507 · outbound

This paper cites High fidelity neural audio compression,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech High fidelity neural audio compression,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.442742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.442742Z digest=sha256:9e1df41f444b531d0bcfbf421b47faf7e49437fcfd985a783f0baf13fa12e263

Observation a58c8181-24ef-4929-859a-8884dd10c4e0 · outbound

This paper cites t-DCF: A detection cost function for the tandem assessment of spoof- ing countermeasures and automatic speaker verification,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech t-DCF: A detection cost function for the tandem assessment of spoof- ing countermeasures and automatic speaker verification,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.107792Z

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=2026-08-07T00:24:12.454458Z digest=sha256:92492ca3ff07d2a1df3df0ebd5ae06062732f52809fff9f69b74fbba811459a0

Observation 8cab15ea-cdee-42a2-b215-23cadf1df9d4 · outbound

This paper cites Defense against adversarial at- tacks on audio deepFake detection,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Defense against adversarial at- tacks on audio deepFake detection,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.096488Z

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=2026-08-07T00:24:12.465555Z digest=sha256:dd135a76df49a1d428e1302f5ebf7964c5359484457a2ebc3c4a2dba417d7adf

Observation 10534714-68ce-42c4-b4b3-2bcf79da9ad1 · outbound

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

A Comparative Study on Proactive and Passive Detection of Deepfake Speech RawBoost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.084564Z

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=2026-08-07T00:24:12.474637Z digest=sha256:0fd7e932bff95010409b4140f6968cb7e115b29233b28a1a0ec6f5a6f94eda1c

Observation 6a1b13a1-16ed-4a72-bb2a-9c4b48df2f4b · outbound

This paper cites ISO/IEC 30 107-1:2023, 2023.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech ISO/IEC 30 107-1:2023, 2023

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.074447Z

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=2026-08-07T00:24:12.480889Z digest=sha256:986f55c5c9b621c9b09d400153d86d233586f46f9788c720b5176ff811205035

Observation 24c1ae25-d5a5-4259-af04-3828ad1c88b6 · outbound

This paper cites an unresolved cited work.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:24:13.062134Z

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=2026-08-07T00:24:12.488817Z digest=sha256:5dac692f402b12f075bbb2fe45c31d23853e1e6d8de31d143d23eff5beb102d0

Observation 0c189bf8-4872-43a6-97d8-21341b8adb86 · outbound

This paper cites Spoofing and countermeasures for speaker verification: A survey,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Spoofing and countermeasures for speaker verification: A survey,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.047023Z

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=2026-08-07T00:24:12.495077Z digest=sha256:a90d2fcdc9f38abf1ece7d6ef63308969efded414062d7d6af2d28b40af9a1e0

Observation 0c637cb3-a900-4937-ac55-720cb927d3a9 · outbound

This paper cites Constant Q cepstral co- efficients: A spoofing countermeasure for automatic speaker ver- ification,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Constant Q cepstral co- efficients: A spoofing countermeasure for automatic speaker ver- ification,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.032646Z

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=2026-08-07T00:24:12.502492Z digest=sha256:182f4eed04a6a8d1db3b2f7319aa0ff6758a4f39e1c4570edcb36feca4471610

Observation ed71918e-6f86-49d8-ac17-276e24df3207 · outbound

This paper cites ASVspoof 2017: Automatic speaker verification spoofing and countermea- sures challenge evaluation plan,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech ASVspoof 2017: Automatic speaker verification spoofing and countermea- sures challenge evaluation plan,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.021228Z

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=2026-08-07T00:24:12.513148Z digest=sha256:85b91c1c5148563ddb02d8b0788a87c72af63b99934161cc25e5dcf3ea6c839d

Observation 6896fca6-5011-4981-aee5-404c3015bba7 · outbound

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

A Comparative Study on Proactive and Passive Detection of Deepfake Speech ASVspoof 2021: Towards spoofed and deepfake speech detection in the wild,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.010086Z

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=2026-08-07T00:24:12.523718Z digest=sha256:3adb1bdab185c98c156773e623f832ea4d15734c32b47f9a9413d79035f3baf4

Observation e36777b5-1e6c-4890-b23d-135fd6af58a0 · outbound

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

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Auto- matic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.997801Z

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=2026-08-07T00:24:12.526706Z digest=sha256:c084a3a4fda5fa6e0e80af2ec44b45d480fb55e31467ef8954af00ab3604d1f9

Observation 620fae07-46f5-4aa6-89f3-ac27a8156dc8 · outbound

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

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.529457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.529457Z digest=sha256:f3b25a19b10c7a6fb78ef3459be9e3bd79dda8bafe1e8007f3420c077fd83c70

Observation 7c770753-569d-4fc2-b284-aa1e7c461d9b · outbound

This paper cites Speech founda- tion model ensembles for the controlled singing voice deepfake detection (CtrSVDD) challenge 2024,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Speech founda- tion model ensembles for the controlled singing voice deepfake detection (CtrSVDD) challenge 2024,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.978703Z

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=2026-08-07T00:24:12.536760Z digest=sha256:a877d93adab78071116b9f36965e9e14ed2aec590b55ba04fa8151ff3e6ff069

Observation 29328dab-8317-48ea-af08-84febcc8bd8a · outbound

This paper cites Speech watermarking with discrete intermediate representations,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Speech watermarking with discrete intermediate representations,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.970684Z

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=2026-08-07T00:24:12.543095Z digest=sha256:96a9858af1ebc403180cb90ba023102ae6a2c06be8c3d5bc6028c842ea20cff4

Observation e207e410-d619-46fe-9c76-18fdf015c0ba · outbound

This paper cites SilentCi- pher: Deep audio watermarking,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech SilentCi- pher: Deep audio watermarking,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.959015Z

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=2026-08-07T00:24:12.549906Z digest=sha256:8b9ce85018b28aa8863948e47421aa99858f7f4136cef63b02ae3888939a431d

Observation ae23f8ca-3aa3-4690-869a-111e156e56b9 · outbound

This paper cites HiFi-GANw: Wa- termarked speech synthesis via fine-tuning of HiFi-GAN,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech HiFi-GANw: Wa- termarked speech synthesis via fine-tuning of HiFi-GAN,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.950436Z

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=2026-08-07T00:24:12.558705Z digest=sha256:6df031da080f9c936ebc8cd62940f1c1d7d15ee294e956a33e4ae5cf7af9d75f

Observation d2fe9320-8e65-4002-9c35-e3aa2f229473 · outbound

This paper cites Adversarial audio wa- termarking: Embedding watermark into deep feature,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Adversarial audio wa- termarking: Embedding watermark into deep feature,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.921858Z

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=2026-08-07T00:24:12.566955Z digest=sha256:a4f33bfa835169d61e2634797cd311ca8bf7aca32b998f3dd9fbe0fcf8d32625

Observation f893096a-c1d0-4ac0-80bb-a86400e6a948 · outbound

This paper cites MaskMark: Robust neu- ralwatermarking for real and synthetic speech,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech MaskMark: Robust neu- ralwatermarking for real and synthetic speech,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.912434Z

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.

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Observation abc06ddf-320e-40b6-92db-16f13a9ab645 · outbound

This paper cites an unresolved cited work.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:24:12.903874Z

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.

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Observation 5398d5e3-94f0-4456-ab9e-ec9dda7fafe8 · outbound

This paper cites Out of a hundred trials, how many errors does your speaker verifier make?.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Out of a hundred trials, how many errors does your speaker verifier make?

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.895268Z

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.

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Observation 799e6499-4123-4992-becc-122b71da2fc1 · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech MUSAN: A Music, Speech, and Noise Corpus

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.583818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.583818Z digest=sha256:9ef5bfcb5505dbcfde977ffb868b40db018c718ea27415f87d2fa4e74a4549f0

Observation 76c40d89-4b04-400a-82e7-8d2f9b345961 · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recog- nition,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech A study on data augmentation of reverberant speech for robust speech recog- nition,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.879038Z

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.

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Observation 08749ddf-9327-44ac-a4fd-9b61947cc9a5 · outbound

This paper cites Pedalboard,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Pedalboard,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.595786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.595786Z digest=sha256:a2622411f9dbf88031dca69d21e63ee1792eca4c4f29b9ed63117d8888ec24a2

Observation 58b6bbd4-da47-4a42-a36b-8adef97f8514 · outbound

This paper cites Definition of the opus audio codec,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Definition of the opus audio codec,

Reference 39

Resolution
verified fuzzy
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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=2026-08-07T00:24:12.605285Z digest=sha256:855d2d93a97c82fda7165b1ddaf328cdf177afdb572c4c6a1b0ae0a4b3ff47be

Observation 1249c596-956f-4a3e-b1af-65fd5923e3f1 · outbound

This paper cites High- fidelity audio compression with improved RVQGAN,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech High- fidelity audio compression with improved RVQGAN,

Reference 40

Resolution
verified fuzzy
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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.

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Observation d5a10364-6e39-4cfe-b18f-5ad58b60a580 · outbound

This paper cites WavTokenizer: An effi- cient acoustic discrete codec tokenizer for audio language model- ing,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech WavTokenizer: An effi- cient acoustic discrete codec tokenizer for audio language model- ing,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.821268Z

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=2026-08-07T00:24:12.616439Z digest=sha256:92506aa8f64331c029386104020244697941cfa76cb1d8f86343d90209b70291

Observation c96b9d9a-9abe-49c8-b158-b4fa7b806fd6 · outbound

This paper cites PyTorch: An im- perative style, high-performance deep learning library,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech PyTorch: An im- perative style, high-performance deep learning library,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.807015Z

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=2026-08-07T00:24:12.619278Z digest=sha256:cb5856a7f9f8e8359a10a058807e2b8cb5421daa00ec2a02ca1d615125d8ac9a

Observation 7de7a33e-6b76-464b-a7e2-8a444831e8e3 · outbound

This paper cites Finding, visualiz- ing, and quantifying latent structure across diverse animal vo- cal repertoires,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech Finding, visualiz- ing, and quantifying latent structure across diverse animal vo- cal repertoires,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.795851Z

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=2026-08-07T00:24:12.621894Z digest=sha256:3ed699120b96c8cde64ea7343fb08d5046adb462fef31d25eaa3d4c4d9cce9e7

Observation 96875d7f-e5dd-44dc-8e5d-d828047f6bd1 · outbound

This paper cites timsainb/noisereduce: v1.0,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech timsainb/noisereduce: v1.0,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.626968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.626968Z digest=sha256:7f9b17646a3962fbeae5d2a01bfd223bda834c59141a6f2d28ddb54ce84a00d4

Observation cd862fd5-db78-4ce5-8220-a1b5e8551be6 · outbound

This paper cites DeepFilterNet: A low complexity speech enhancement frame- work for full-band audio based on deep filtering,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech DeepFilterNet: A low complexity speech enhancement frame- work for full-band audio based on deep filtering,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.779310Z

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=2026-08-07T00:24:12.631073Z digest=sha256:fa4417cc5ffd2cd42458edf95e2956101ba4055f84a40342087506661d3632b0

Observation bff8e58e-a7cc-4979-857b-b995a080bd2f · outbound

This paper cites DeepFilterNet: Perceptually motivated real-time speech en- hancement,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech DeepFilterNet: Perceptually motivated real-time speech en- hancement,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.769109Z

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=2026-08-07T00:24:12.634352Z digest=sha256:280ac6a1ca02b261a6038177e5d33c5c9c5b7a5e670ed0198bc160aa021ca30e

Observation fe34d34a-a9a0-4394-805a-41ec12961f1f · outbound

This paper cites librosa: Audio and music signal analysis in python,.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech librosa: Audio and music signal analysis in python,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.746084Z

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=2026-08-07T00:24:12.638246Z digest=sha256:b801dd1711889d9d1c156e5a1dc7fd059a2501a3869dff142c2fa523a906b8aa

Observation 4f38c45f-1867-4b11-a9b0-340d0d7b2a64 · outbound

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

A Comparative Study on Proactive and Passive Detection of Deepfake Speech wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:12.733385Z

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=2026-08-07T00:24:12.648402Z digest=sha256:6ec74ba515543b477156891b37efeed43185fc2f77ff69b22e81a8e0adc45c8c

Pith citing papers

Observation 84f5f51a-90e6-4fe0-8d33-9f52fd0f66e7 · inbound

A Comparative Study on Proactive and Passive Detection of Deepfake Speech cites this paper.

A Comparative Study on Proactive and Passive Detection of Deepfake Speech A Comparative Study on Proactive and Passive Detection of Deepfake Speech

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:24:12.716203Z

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=2026-08-07T00:23:57.362820Z digest=sha256:d9dc0cf0f112962cc76f523eb002c8b0aedfda9a36665ab1e35829620e5f12ad