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Paper Citation Record · LEDGER

Teffic-Audio: Tell Fact from Fiction

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.28351.

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

pith.paper-citation-record.v1
2607.28351 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T10:28:23.687225Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e544df8-f8d4-48d9-84d8-45e25a441cc6 · outbound

This paper cites Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024.

Teffic-Audio: Tell Fact from Fiction Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

Reference 6

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source=pdf_text observed=2026-07-31T10:28:21.466792Z digest=sha256:03f9c6a5652a7743d111bd74a03bcd470354ec99dd58bffbd8d204e15e640932

Observation be4d2081-8dab-48cd-bd07-7774e5a06a7d · outbound

This paper cites Does audio deepfake detection generalize?arXiv preprint arXiv:2203.16263,.

Teffic-Audio: Tell Fact from Fiction Does audio deepfake detection generalize?arXiv preprint arXiv:2203.16263,

Reference 10

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source=pdf_text observed=2026-07-31T10:28:21.768535Z digest=sha256:7c657d061dca87f9c822b3b67d497f9a39318b59eeda8ebb12adb2fea0915fc4

Observation 9b781278-fb42-44c0-9271-5f29fc3fd377 · outbound

This paper cites Asvspoof 5: crowdsourced speech data, deepfakes, and adversarial attacks at scale.

Teffic-Audio: Tell Fact from Fiction Asvspoof 5: crowdsourced speech data, deepfakes, and adversarial attacks at scale

Reference 11

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source=pdf_text observed=2026-07-31T10:28:21.828061Z digest=sha256:94a55c7cb4d784d7679cd321a345f4bdc0604a7177744eb7d2b75faae271a1f3

Observation 90bbc901-57b5-4094-af2c-1cfb1db88011 · outbound

This paper cites Light convolutional neural network with feature genuinization for detection of synthetic speech attacks.

Teffic-Audio: Tell Fact from Fiction Light convolutional neural network with feature genuinization for detection of synthetic speech attacks

Reference 12

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source=pdf_text observed=2026-07-31T10:28:21.938096Z digest=sha256:5a3e195acb53716daaf20c25a65d37d15829ec38c2894f855c4db0aa2b68a681

Observation f1cad2b4-db5c-4e32-8bfc-3748387ebee5 · outbound

This paper cites Replay and synthetic speech detection with res2net architecture.

Teffic-Audio: Tell Fact from Fiction Replay and synthetic speech detection with res2net architecture

Reference 13

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source=pdf_text observed=2026-07-31T10:28:21.950262Z digest=sha256:ee5636881002977ee881f9c012228c40b0d2a19319bc2776cbc97555453da2a9

Observation beff54a8-2b33-4293-a96b-632ff7b317bf · outbound

This paper cites End-to-end anti-spoofing with rawnet2.

Teffic-Audio: Tell Fact from Fiction End-to-end anti-spoofing with rawnet2

Reference 14

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source=pdf_text observed=2026-07-31T10:28:22.014498Z digest=sha256:edf96bcceb2f9b48681df8fbaeefdce90868cfe57248086f825c7ce35d5ffcdd

Observation 46196a50-20d5-4b09-b76d-b2dd78425e91 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Teffic-Audio: Tell Fact from Fiction XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 15

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source=pdf_text observed=2026-07-31T10:28:22.087327Z digest=sha256:153278f6c99577335a333a9bb4d629928265a4b24e65973ae6325a2bdadbb53d

Observation 4f3beb0b-6a81-41c0-8837-d1af39921367 · outbound

This paper cites Mixture of experts fusion for fake audio detection using frozen wav2vec 2.0.

Teffic-Audio: Tell Fact from Fiction Mixture of experts fusion for fake audio detection using frozen wav2vec 2.0

Reference 16

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source=pdf_text observed=2026-07-31T10:28:22.148358Z digest=sha256:44e0ba2cbdf0127d7bb52173c7283e42e79df2339ef50e2d0ed7bf032928c0c4

Observation f1d57647-b9c5-4509-8c87-b1b51aeceaf3 · outbound

This paper cites Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection.

Teffic-Audio: Tell Fact from Fiction Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 17

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source=pdf_text observed=2026-07-31T10:28:22.248260Z digest=sha256:d96ad2439e4caae7cbdb0455e30d942773ca56a43c6601d41ae599bc1a806ce5

Observation 5534c589-bbc2-4ebb-a20c-2669033a82ce · outbound

This paper cites Frame-level temporal difference learning for partial deepfake speech detection.IEEE Signal Processing Letters, 2025b.

Teffic-Audio: Tell Fact from Fiction Frame-level temporal difference learning for partial deepfake speech detection.IEEE Signal Processing Letters, 2025b

Reference 18

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source=pdf_text observed=2026-07-31T10:28:22.307614Z digest=sha256:d0680a777fd3844c6f06d3941f67ba4c527f8f8d20bb510b0acb3684228eab28

Observation 8fff0a9b-4906-4970-93c3-2845da5e2e9b · outbound

This paper cites Leveraging mixture of experts for improved speech deepfake detection.

Teffic-Audio: Tell Fact from Fiction Leveraging mixture of experts for improved speech deepfake detection

Reference 19

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source=pdf_text observed=2026-07-31T10:28:22.380736Z digest=sha256:0e6f97468b9dc3a57f0d3eda3768c4758937f84683e8c8bf699198134bcde3e2

Observation 36d40298-5761-4e16-a2be-ed767dca83ea · outbound

This paper cites MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection.

Teffic-Audio: Tell Fact from Fiction MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection

Reference 20

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source=pdf_text observed=2026-07-31T10:28:22.453820Z digest=sha256:ca07cd21373f51c14742e4ef4efc24a2d4817b448f69ecb7c136dd68ccb72232

Observation c2c2693f-96fe-4dbd-8842-eca570cb1d9a · outbound

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

Teffic-Audio: Tell Fact from Fiction Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing

Reference 21

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source=pdf_text observed=2026-07-31T10:28:22.514287Z digest=sha256:a7a015fb88ab5e044625e9dfda07a1ecba808c7b954ab3fa9fe7d63464447bb2

Observation bc8c7fe9-3ce2-443e-ba98-cde4596bb4e3 · outbound

This paper cites A data-centric approach to generalizable speech deepfake detection.

Teffic-Audio: Tell Fact from Fiction A data-centric approach to generalizable speech deepfake detection

Reference 22

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source=pdf_text observed=2026-07-31T10:28:22.579124Z digest=sha256:fcdb5581b8fa162a5031af686c833c824e60d9abb14ace8b88eb67eb8636c8d4

Observation effa4449-a4cd-4e14-8eb8-58e02651b4f0 · outbound

This paper cites Generalizable audio deepfake detection via latent space refinement and augmentation.

Teffic-Audio: Tell Fact from Fiction Generalizable audio deepfake detection via latent space refinement and augmentation

Reference 23

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source=pdf_text observed=2026-07-31T10:28:22.645887Z digest=sha256:cf7fc83a92b0ab2f3444ffaf1206d2315bc63f2295623514d44183ffa5a3f1d2

Observation d3e5bb99-7b3a-436e-aa05-2b31de3e1279 · outbound

This paper cites Generalizable speech deepfake detection via meta-learned lora.

Teffic-Audio: Tell Fact from Fiction Generalizable speech deepfake detection via meta-learned lora

Reference 24

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source=pdf_text observed=2026-07-31T10:28:22.682452Z digest=sha256:580893a77b2848c64f143dd782e202e0eeaeb652138bc64d39cd100d6a477641

Observation 6ac7f324-7ed4-4b95-aa6f-491c413728eb · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition.

Teffic-Audio: Tell Fact from Fiction Conformer: Convolution-augmented transformer for speech recognition

Reference 25

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source=pdf_text observed=2026-07-31T10:28:22.779079Z digest=sha256:167fd7ae6a9920ce0ffbd013d980b15ca3686133aa810168c332b19fce03a996

Observation c3de67fd-f113-4190-8cdc-5c70c93268ed · outbound

This paper cites Attentive Statistics Pooling for Deep Speaker Embedding.

Teffic-Audio: Tell Fact from Fiction Attentive Statistics Pooling for Deep Speaker Embedding

Reference 26

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source=pdf_text observed=2026-07-31T10:28:22.841215Z digest=sha256:c6537c250c31eaf32e712173f9474565c090d7b419648145622c61c575fe3f47

Observation 22eb84af-bf57-43a6-ba69-36d91ada68c9 · outbound

This paper cites Replay attacks against audio deepfake detection.

Teffic-Audio: Tell Fact from Fiction Replay attacks against audio deepfake detection

Reference 28

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source=pdf_text observed=2026-07-31T10:28:22.984927Z digest=sha256:99f8d23645726f95ea0bf46b75a2e8bf87ab32d637af0efafdb6c0a7e35813aa

Observation 7f9b7f3b-fe35-4c58-8aef-be0e603c8e3f · outbound

This paper cites AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines.

Teffic-Audio: Tell Fact from Fiction AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines

Reference 29

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source=pdf_text observed=2026-07-31T10:28:23.043310Z digest=sha256:5da5ad9ad9ea167a47113702818ed63359cf7b17504ba1647d1b00682b5d11e3

Observation 4ec5937e-80d3-493e-a287-688527d91673 · outbound

This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

Teffic-Audio: Tell Fact from Fiction GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 30

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source=pdf_text observed=2026-07-31T10:28:23.121360Z digest=sha256:efb2fbac40e84a1d5f994a9645d93fc94848f9b50abcfd7f1f3f8ea79ef26e01

Observation 7c8be08c-477e-4554-b9ec-6660e6d78e02 · outbound

This paper cites Cn-celeb: a challenging chinese speaker recognition dataset.

Teffic-Audio: Tell Fact from Fiction Cn-celeb: a challenging chinese speaker recognition dataset

Reference 31

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source=pdf_text observed=2026-07-31T10:28:23.186106Z digest=sha256:f94f6dbc3b9ceb272b77a59db6668364e11b7e964430f3d38e569960f86b01c9

Observation bc341901-0631-4f9d-9ce5-1309c2066c54 · outbound

This paper cites Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems.

Teffic-Audio: Tell Fact from Fiction Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems

Reference 32

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source=pdf_text observed=2026-07-31T10:28:23.243141Z digest=sha256:f8de06c923c2fd71b1501de809fa17d864f41f4a336b195c32306aa2a2f1af2d

Observation 44e6ca35-da5a-45cf-8abb-0765a465e3f1 · outbound

This paper cites Unimax: Fairer and more effective language sampling for large-scale multilingual pretraining.

Teffic-Audio: Tell Fact from Fiction Unimax: Fairer and more effective language sampling for large-scale multilingual pretraining

Reference 33

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source=pdf_text observed=2026-07-31T10:28:23.349214Z digest=sha256:0c6ff968772069f947c733cf4d59e1f612f782d1347be8db883dadc6f9059566

Observation fa394a0c-ae31-4537-a500-88ae04bc13c4 · outbound

This paper cites High Fidelity Neural Audio Compression.

Teffic-Audio: Tell Fact from Fiction High Fidelity Neural Audio Compression

Reference 35

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source=pdf_text observed=2026-07-31T10:28:23.427413Z digest=sha256:42f6e8259c715c3f83c12bc4d51e480f54e14ab4113a83ad17f65902c9cdfc80

Observation 6f429dc8-6d58-4039-a3d3-efdb02aeaadd · outbound

This paper cites BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention.

Teffic-Audio: Tell Fact from Fiction BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention

Reference 36

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source=pdf_text observed=2026-07-31T10:28:23.484198Z digest=sha256:6e7c5e6f2bbba2c75e40e789ae4e5d0f532588bac9eb9c3b0c672d0bde79a2cc

Observation 4fee6289-b8b6-45a4-8510-182ba23d758e · outbound

This paper cites Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation.

Teffic-Audio: Tell Fact from Fiction Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

Reference 37

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source=pdf_text observed=2026-07-31T10:28:23.550257Z digest=sha256:867c17346e9ad2bc6e31bc5bbbb002a02c839eed1cff4e670efecf87d9594b07

Observation 766e22e8-d789-4721-a28c-2178484feb27 · outbound

This paper cites Exploring generalization to unseen audio data for spoofing: Insights from ssl models.

Teffic-Audio: Tell Fact from Fiction Exploring generalization to unseen audio data for spoofing: Insights from ssl models

Reference 38

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source=pdf_text observed=2026-07-31T10:28:23.600331Z digest=sha256:53fef1e6de2f9686b0ed19d6da8f694019ca1f125fbe8c21e5034fc5346cfc6e

Observation 71c8f231-7d39-4b63-b2d0-808f3d44cdf5 · outbound

This paper cites End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection.

Teffic-Audio: Tell Fact from Fiction End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

Reference 39

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source=pdf_text observed=2026-07-31T10:28:23.629281Z digest=sha256:a5ad6b870870dd0fa6ce0f1f6596b5ad29f0a78a5b703e388be0b5bbb2ce419f

Observation d5bc1f3c-694a-492c-84ca-1463981cd374 · outbound

This paper cites Teffic-Audio achieves the best pooled ACC and pooled F1-score among the listed systems.

Teffic-Audio: Tell Fact from Fiction Teffic-Audio achieves the best pooled ACC and pooled F1-score among the listed systems

Reference 40

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source=pdf_text observed=2026-07-31T10:28:23.687225Z digest=sha256:dad9e8ced9d3fee1115cc6c7a4cdb55df3cccb14e8f020004c5f9503c816ef46

Observation 451308d7-d185-4135-b813-98bc3758b2d8 · outbound

This paper cites Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Hector Delgado, Andreas Nautsch, Nicholas Evans, Md Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, et al.

Teffic-Audio: Tell Fact from Fiction Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Hector Delgado, Andreas Nautsch, Nicholas Evans, Md Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, et al

Reference 2015

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-31T10:28:21.313618Z digest=sha256:ef7e879f2145b6d88bd898d5112d9b6eae64669fd5809dcc8fe9599260c32e7e

Observation e6d0476a-cba0-459e-a90b-cda0262fe0cc · outbound

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

Teffic-Audio: Tell Fact from Fiction MUSAN: A Music, Speech, and Noise Corpus

Reference 2017

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source=pdf_text observed=2026-07-31T10:28:23.379685Z digest=sha256:13df60fed0c88c564f67c18ef31b6fb7fac57c29d3ad4fe49173947a87d681bd

Observation 5a0d7f71-e7bf-4804-8b48-f7515130997f · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

Teffic-Audio: Tell Fact from Fiction Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 2018

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source=pdf_text observed=2026-07-31T10:28:22.922154Z digest=sha256:4e34848ea4cd1d23cf65610554e0cbdadae4af0b5ebc24c8a58dd49c4444a810

Observation ded5af8c-1732-4ca8-8cb0-66d77a949d2f · outbound

This paper cites Nicolas M Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, and Konstantin Böttinger.

Teffic-Audio: Tell Fact from Fiction Nicolas M Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, and Konstantin Böttinger

Reference 2020

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source=pdf_text observed=2026-07-31T10:28:21.347004Z digest=sha256:28ce260ddd7f70b3d76d2f84aabeb36561dd7e5e88255d242a543933455b74aa

Observation ce701d1d-71e4-4d8f-b9b1-07f63e086622 · outbound

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

Teffic-Audio: Tell Fact from Fiction Add 2022: the first audio deep synthesis detection challenge

Reference 2021

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source=pdf_text observed=2026-07-31T10:28:21.646660Z digest=sha256:8258aff5d2b9c22d197ba8484aad9a856e2c03e0ba8fdd81e0f16aa584df2712

Observation d3440183-9ab5-4ed7-b769-426786d55791 · outbound

This paper cites ADD 2023: the Second Audio Deepfake Detection Challenge.

Teffic-Audio: Tell Fact from Fiction ADD 2023: the Second Audio Deepfake Detection Challenge

Reference 2022

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source=pdf_text observed=2026-07-31T10:28:21.703461Z digest=sha256:7e49f20e30def87ded2a9429276688318e3a1779621311294b5aff56d3f4cc24

Observation 8fb26762-abed-4bbb-bac9-e041a32783e0 · outbound

This paper cites WaveFake: A Data Set to Facilitate Audio Deepfake Detection.

Teffic-Audio: Tell Fact from Fiction WaveFake: A Data Set to Facilitate Audio Deepfake Detection

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T10:28:21.405092Z digest=sha256:5b68f748ce90c0fa4c31d35da034db19640f15fb591c03f5b7becfa9644c83f6

Observation a78a6a21-751e-4731-9c43-3e2455d87a4d · outbound

This paper cites CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models.

Teffic-Audio: Tell Fact from Fiction CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-31T10:28:21.169578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T10:28:21.169578Z digest=sha256:cbca7d809cc245b3fa63191afc1957ea19c3454ae880983567e7da2717818944

Observation 90b35423-3b9f-490f-b76b-fb8665440fa8 · outbound

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

Teffic-Audio: Tell Fact from Fiction Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-07-31T10:28:21.236552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T10:28:21.236552Z digest=sha256:4973b222be56f9cca3e8e3613c731a94bf5abf92a08593e6f406804bf887d666

Observation 87fd1936-1f7a-4549-8ffd-58a26f68ae90 · outbound

This paper cites Asvspoof 2021: accelerating progress in spoofed and deepfake speech detection.

Teffic-Audio: Tell Fact from Fiction Asvspoof 2021: accelerating progress in spoofed and deepfake speech detection

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-07-31T10:28:21.538373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T10:28:21.538373Z digest=sha256:f88aaf9bd6a0567c6f79a682bdcb3c31edbc1a7b2013e7213d6f33653fe4beab

Pith citing papers

No inbound Pith citation observations are available.