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Paper Citation Record · LEDGER

A Comparative Study on Proactive and Passive Detection of Deepfake Speech

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:23:57.205394Z digest=sha256:ef21535de66ede451539f7a2f9878654eae90b615429c3b3152bdcdc0db1655f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:23:57.362820Z digest=sha256:d5b963e215e18194333474d9f88b4550ba86b3504956d901f43d0d01fd59aac4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:23:57.526074Z digest=sha256:4bcc97762c1c63dc0cb4271b71bb1a74fb05ce319e190b8518a51a7220b5c6d3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:23:57.742024Z digest=sha256:57967b0d4f26f865927a41485f2950d4930e2531c51ab5c80c699bbecfbb6ad4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:23:57.915455Z digest=sha256:46d5ae96ad6841177621d70fceffb027168c4e389ca715cd59099d65c5a4ad46

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:23:58.065636Z digest=sha256:d29de6819167a35abc1676d64e9f264a4544cd1a943c578886814997d25b3ae1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:10.842706Z digest=sha256:4ff7411f44f230e23ed5921c6040122b1bbfa6b5b1c6120611f3ebc9eea3d8d4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:11.796775Z digest=sha256:c5a2bbbbaa2741cc2a50d85fa15e98d56ffe041685024b3dd72a9bdee828c946

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.024046Z digest=sha256:3aba9994e99dad2e2b8fada97644ec4a39dddce49a9324a980e7af3141fb4d4e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.107159Z digest=sha256:1e2f3f8ff240f346c129c58cbe4e013668871f00656fdb3eb76f4b23d52dfa4c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.163238Z digest=sha256:ead9e59098ee4744b40df0ccc2b7bbeab33dc3619ffb6062aeea2fb834753326

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.229177Z digest=sha256:277bb05c803998cd9be68aa9e4f8f68ace55ea4d54b6eae609c17f55875005b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.350819Z digest=sha256:9b8283e63054712e032cf2c887112890fbfae8c3192bb691008c6b107eb3e6b1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.454458Z digest=sha256:4e1aa84850733c0c776f55563ceb8a1929faf80b852b510a83c71a4a9b7e68ca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.465555Z digest=sha256:730193ebf4c7f63a2be26a50bf999d258314b50c8999224cf4e7fd063f0c5692

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.474637Z digest=sha256:6d7e5f030532e13b4ed4bfb1f58b3511bd90fc4f1346c584e056baba6fb02ae7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.480889Z digest=sha256:a2296b0bc7e318369fe840d90df3e4fa450aaf97ce603e9f3647279a111dced1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.488817Z digest=sha256:827d2781c47a2bd9e927972efb5689e4586588e20e018344d36deb344272764d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.495077Z digest=sha256:34a97abacd435cf9011b4df6845de11e1653814fc97bed107602f84c1bf63ccb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.502492Z digest=sha256:27a5fbe2f23c7f015cb351335f89ac482101802c1464441523aa898e363a2b7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.513148Z digest=sha256:02d0971bd8f3918de51cf12d0ad814a45a99e30a2c3f0951cda8efd51fb8d669

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.523718Z digest=sha256:56c073c83cb5f284d3c35caa372cd13ed53c6871e98b704fb5480d2bcce81670

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.526706Z digest=sha256:9e4a56388e8c7c8953264e22043b580ef6fd37f53828d2dbff8b102e6532ab2a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.536760Z digest=sha256:4b22a5157fc35937f4f6eb7bcccaddc8377417e882d78cca843541bcc257c31e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.543095Z digest=sha256:575391fe316fefc81217e0919689d5ad17a0cbe61f91b24afb09d2333cc6edd6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.549906Z digest=sha256:062ef50b35d0ec34fcb1c34dc9559b63c54173ca85390407be1ae6d01e17e9ae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.558705Z digest=sha256:7843b38776de0fe31b45ab02fdef5bd93831e83fc9f75b2b23407746e6201c45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.566955Z digest=sha256:708c702e563f57cb87d1250337f55ebf769f536a68a40220e014384f7d06ccbd

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.580865Z digest=sha256:cc97942944014c9ca6b9fc398bd4d446bc0e97c87048b2833f3c1529f47fbcb1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.587427Z digest=sha256:96902be37fede88c7f7c579f623a7a044a18b6fccda2e6b23f9f1089067b950d

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
raw_fallback, observed 2026-08-07T00:24:12.869980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.605285Z digest=sha256:04e13f52b13b41a0577c8b579317af89422d456f2d7433e2bb1c9ad9c2c32431

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
raw_fallback, observed 2026-08-07T00:24:12.849007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.612622Z digest=sha256:1d08bf0efc18e87026bcc33ddad1532e8c4f201ecae9e94122b815690566bcc1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.616439Z digest=sha256:18f9499c564098a309a67bb6b943b415a357ec9c36d6916797a8c6b8032c3958

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.619278Z digest=sha256:4292845af698a2cae1d1db19489258571e75e62af1525be476b9e950cd76a952

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.621894Z digest=sha256:2297cb69dad0312b9150bf1dc01434b121da2ea8431345799628bad530262b55

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.631073Z digest=sha256:af6ad60b2f8e4ecd80d7e54324fb4280aa5e0ac659206c6d42d51010490d70a5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.634352Z digest=sha256:8f83a26864fe8d0de4237bccd920f3544408a49397a1d379cf2e010cbc737d7c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.638246Z digest=sha256:05aca65fddc0584a2c69f3ecd2ba38602b998181bde91b2d7ba9a75341687332

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.648402Z digest=sha256:294f9a8b2d1c2f7259b71fae1c5119f5348802045c6cd17369bffd400e241ce0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:23:57.362820Z digest=sha256:d5b963e215e18194333474d9f88b4550ba86b3504956d901f43d0d01fd59aac4