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Paper Citation Record · LEDGER

A Comparative Study on Proactive and Passive Detection of Deepfake Speech

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:23:57.205394Z digest=sha256:455ade0e5fc4a14ad0fdc4d1f40bc2975583deb5606f9473c2b77faba37a027d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:23:57.362820Z digest=sha256:6c9f63c2535f161d817138913b1e59eb9ddf7a6e6b2d0f23d4bd86f1de2323af

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:23:57.526074Z digest=sha256:74da4614eec60d5df628893cbb52a000968880fd87efa40b2b174637be138e70

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:23:57.742024Z digest=sha256:8a0e6239479a0cf500b3368173af82f70c5c604cba950dafafaf755e8099ca0c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:23:57.915455Z digest=sha256:de1e501614ade128a4e1b98102000c255504b7477eaf236215f230301f78f846

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:23:58.065636Z digest=sha256:9d9b03c5ea776e775175446029c6cd7a52226c4321ccbf01527af0b1d3320b9a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:10.842706Z digest=sha256:2c55e680c0333d58c5c050a77a5b04db6c1a9cb31c5e4c7783726a7a1c4d6137

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:11.796775Z digest=sha256:d7493c844e3455bde0b8f1ee51cdf216b373e8ced5adf76b9f3c9b91690e95e9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.024046Z digest=sha256:edf47d05be66ff29d5a54ad1da7192f4ce56d38bba991fb62b7a1f802bf03606

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.107159Z digest=sha256:32a7f4132a4d174878456e6872fb4d6b6cc3daf70b375ec482118a16d9ea5c44

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.163238Z digest=sha256:6b6695b8558e572cb0d0a27ad87e7e33d1e6c980078113274df00fcf88aa2d0e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.229177Z digest=sha256:25a3cd053511935a692876f0b6969ed221352f372772a7dae27a9380cda0e449

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=sha256:995548c06d8dc0be0288158eb703ccecc4578b68535dc041250e6b2264cb428f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.350819Z digest=sha256:f0746fea5fc9927f6d2269dd4302a3b5c63d18deece111d0be7c1b0bf4b62647

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=sha256:2996cd6dacc65d8c1bcba3268bebb1dce3ae280bb4da1e0d4188428d4fbb4fea

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:f3d68e10e1b5c9683548c7bfce135c45e6d54d7e486011dfed3a8adc5b759aca

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.454458Z digest=sha256:f4cd831cbd59506082963e43e22c2f8a67bc1f1461eadf5e1daf0882e11306bc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.465555Z digest=sha256:827d6db37678c307f719053af7f499a10fd951c80e19a804e6f11d631ce23555

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.474637Z digest=sha256:d0c232566e558ea954a60c338d4a5995f8339a111d7aa265fa89faab8762f0fe

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.480889Z digest=sha256:9a0950ae5b4bdbf175e56d26d1f6f1b2c7fbbd4262d1b303e862e23b42397d94

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.488817Z digest=sha256:c1836e9598a56564a67929abefe79019b0a510b63675e102220c53347bc2eaa7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.495077Z digest=sha256:e63d97457401e8a056c9f5e7b170d55f4b7f88b433299003469acb14d16fdf74

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.502492Z digest=sha256:2916d90170b760972184d93101abb99a36b165207a98cd32a055b7c212ab2664

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.513148Z digest=sha256:6a00195f5fbf684233c0434d92c21885eb604d7352eaef0f5a6d3807a1a0b8fa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.523718Z digest=sha256:2e7ef96925000fcfd819d2b982ef6dd127625031c7d5a1423145582d06c2323e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.526706Z digest=sha256:6c13c7be4aff2b476cdab95da1b2df69aed1a22a8ae942e30dfcec9ece9fb63c

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=sha256:18092f358acb06e4a80d35cf06970288ee23cc72a4da2e6f0716151e669f14da

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.536760Z digest=sha256:87c72ca937d81c9d4f8903103b5d9ad0ae6cdc019802b5cc72b5767acd0a81d6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.543095Z digest=sha256:9bacf00439c06895200d48c4a61e16aff711f66a1b8751c09aa03a6e14876ca3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.549906Z digest=sha256:b3b345a082d2c2e6f7f8d812d84d6a86885a8100be6c09f917fd051465f59f74

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.558705Z digest=sha256:75305e4b5b018cdb6a7936c4783a811703289a4e799726b778d33d0e21372bfd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.566955Z digest=sha256:9a87f26810767f1bff2788345350c12e2f02f598ec9403671a0765b5ead1b596

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.580865Z digest=sha256:2bdd7537aeeb7c930c9412ea56e1a54306a37467bca42fa11d36dd3620620d5f

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=sha256:570d451060ed2d09674413cfa665bc41d40dc9ebb3b25c0189b391ab0e4c0bec

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.587427Z digest=sha256:761863068416db74f918a8b97f226edf8bc93c2c4b593aef5ece8c2aaa2bc6e4

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:e62c9435fe3032416e4e43e37c9b59abfdf4b82d5682df92a68bba31844116e8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.605285Z digest=sha256:4c8ab02cd9f256006de5ed6ffeb52b8e6c8d4aeb0ca49aa3b37952987c770062

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.612622Z digest=sha256:4e60672759c011f8c9523875014c834d8baada5451c09b6d346c962d759b0e77

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.616439Z digest=sha256:8d1664aa5714e6901b7f8dbbb9225ae560f0b7661e6c90d06aecd75efd567cb0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.619278Z digest=sha256:775612480e04d1165147872e5eec6895a6e379a33376d3e373de79458f516a4d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.621894Z digest=sha256:ff3ef81df74abe21fcf1885a991a388559f5053c1330caf5121426ed889b75d8

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=sha256:28ba9d80c071f67e5f4dfde6b14b93c34f2b42cab1c19de68ba579b27095a6fc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.631073Z digest=sha256:19950a06fb2d86ec3eaf0d09b71cf21ad6e9ef883fb4dd327c0dbecd2cb204da

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.634352Z digest=sha256:f08c8e1940676db19c0b0d3e6148b0989046d6962f063beff49ed2d204b81d65

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.638246Z digest=sha256:0b61f8f90a064bb75d466059810aae1d9c6d23e1c47c9cf6b96cc0461167afdf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:24:12.648402Z digest=sha256:de6a3756f2805c37b1beba1acdfc772452dded2e3a35e7efba6da763c6df92c5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:23:57.362820Z digest=sha256:6c9f63c2535f161d817138913b1e59eb9ddf7a6e6b2d0f23d4bd86f1de2323af