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Paper Citation Record · LEDGER

Teffic-Audio: Tell Fact from Fiction

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:41f108fb03fd842d3c97d2e9457c41e1b82147799bdd128596ecfcdc8d667ce3

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=sha256:4d3ca14efe5b6aee38d01c9b9a653864526987a1200c7237d87402f82aaa8d8d

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=sha256:7abda97f3974dc4bd8e2f01800c29797470b00ef6735058815e52871e248cc8b

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:fea60695dcd5c4441939d7c337b20e21d53cb2adb2521aefe8a4143068149aa3

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:f2dbfcfa22b5df4e9e2cc8509d8377267b24945b922323d25fcdb487a74a5a0f

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=sha256:1b93d0364159e88ab0f51adce87e59ac5f3cd5ae057a426ce6717e8181ad2bb2

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=sha256:08033b10a45c2afbd2e98c0b56277ed83dc50f58f24c5a6c224c996325124372

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=sha256:0c3821fba6255aa2fa6c4a4b4f83cdcdfc5bf5f7c7448ef597266e3d91d67be6

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=sha256:689aa733b5eec0d6011214feb6fc377d7b83ab13e4110c5e010f805107eff691

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:e54cdc25102c2d7299d8e2ceabfd5e3376476c2c228910e2355e78a5fe10a03d

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:da3d3a520cf3c7e2161c58e86640f7f0f97b24f0bb69026ab86d6acad9cdb68c

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:a7ad347d90662677bced6663d2cec8299e8a06bb7d1e7ba1a199ac6e77237394

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=sha256:1e3d7e1da5288ffc7f7cbaf937592c4864643ea8d1c93a06821d937f3af4e865

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:d51aa62e5577432851e83e9b641c1ffd2349d122ff86bee5d74fc784803cd2a0

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=sha256:89ce55ef89acc83ad0194fa76417eece23964d2aa216d369f054cb3c93ecf1b9

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=sha256:79dfa0d66ae856d34197c5d113a6b808fdb26e11d4ac50d77ed15e73ad9375b7

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=sha256:2abeb343aecffc02d0c86e65f5a6dfbe2aa6720497dd7d75a5d150c73351c762

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=sha256:16e0d5a76e64446a9a3dee4ba6952bb75e5d44283c2d36ef27411b694653aa88

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:bd785adb4ef9cef0e69fdb7f5e1651c27cd07d8f7c1bf979ee6c93226a4b68c7

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:b9ed9a25de7d380bcf9ee5951db58d3661616688ce0fe1de0d01a6c5def3dc96

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:d902e398b50f28eea87e0271305aab67ac3fbff3d87863c29575c2606d5a82b0

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:bff7d94ecaf16630c532b304a8c04fb892382c96bb5364e0cfc1e73587e139df

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:d49ea7f8cf969f8aa01060504b27db63578e2e3526261637bed7f3e1dc6d8564

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:f3cceb440d457927a4feaad15e0253f248604177811027f5d7393ad3e937125a

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=sha256:2be556fd8311de845253c56a58870baba1171f7b8161980112064acc8a866791

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=sha256:9854470256fa03fcc1fb9cf2d5acf9684804c8b8c3921eb8376749a51b9d5cee

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=sha256:339e95afe2a578967f59c57e5b1fb91f3ee4144e98dc5cf6c2ca2f6f88bfd211

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=sha256:8cefc39f759f05c5edc7b8a1390f3e6e8ca8e779fdc9ccd266a9badb890e514e

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:a09faf1a82687a167f280b0a715d1fa5d1c22b11f43dca63d09d0a5c73085751

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:d5353671347e5dde860696759da32fa72cce44adcc2c3d42c9a1d542f7ef2222

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-31T10:28:21.313618Z digest=sha256:6ff7ca99fef8cff0b89da78e0041464bcec14576459b1c340a4adebce9661fa0

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:da130384d6e8b3ff55af8fa6e2d0aa27c32f5b0021eb1e86061b036659984c1a

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:a1537f5283528c591a07dcb071ac2d2ce585726e381c1279da35212bc57f55cc

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:a0cbca7f0b33bf0ed7b1933e5cf320c1fc501fca3601cddd0037d804f06b5d68

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:f99c14910bb95009f7d6c044c4078113a883713ec32496a1ea1de0638982db85

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=sha256:2632a09be286dd9bee7241266802261bda34f5244b984ad7141bdefa43bf4af8

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=sha256:358e4dff276a5929b154a54cb5d5f62c2719b9ab53572e0344ca13b442f2e15d

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:bf9622cf0fcd64b078d2744a3e12008ee82c441840da1ee8f42d620d5f7a39cc

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:d2199c72c7751f891dc38348ea546305bd8a8ecf3f23038dba0a6fcc42aeb60c

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=sha256:66afe94d3de64e8eb43b59db41dbf7c59b4607d11828848ed0a4049c06bfcfcb

Pith citing papers

No inbound Pith citation observations are available.