Pith. sign in

Paper Citation Record · LEDGER

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2607.23961.

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

pith.paper-citation-record.v1
2607.23961 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:27:05.730485Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:26:58.758683Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved67
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc22a572-0508-4df4-a230-256339f3126e · outbound

This paper cites Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:58.758683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:58.758683Z digest=sha256:79e9807485275185ace2f963edd0f80960a38fae2560aa0579dcc1148e5c436b

Observation de3f0394-193a-49ca-b2bb-582614cb3b69 · outbound

This paper cites Hand-crafted Feature-based Audio Deepfake Detec- tion Hand-crafted features (e.g., Mel Spectrogram) are widely used across many speech-related fields.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Hand-crafted Feature-based Audio Deepfake Detec- tion Hand-crafted features (e.g., Mel Spectrogram) are widely used across many speech-related fields

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:58.871207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:58.871207Z digest=sha256:7e16555d7d9531f27921160d8f414c003baabd8b367852cef3b04736330b8602

Observation dcdb5e9e-6ce6-4536-89f7-7d9e7b0d71c7 · outbound

This paper cites Considering this, we propose two methods to explicitly allow the system to understand the special information: multitask (MT) and gradient reversal layer (GRL).

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Considering this, we propose two methods to explicitly allow the system to understand the special information: multitask (MT) and gradient reversal layer (GRL)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:58.992445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:58.992445Z digest=sha256:59e1d1a7e43becfd0292bcfaa111e1325a5615491fb076a1e691dc92ec56a0eb

Observation 116c7974-2a51-4168-aec9-acce481ccadb · outbound

This paper cites Datasets We construct a large-scale unified corpus for training and vali- dation by combining multiple publicly available datasets.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Datasets We construct a large-scale unified corpus for training and vali- dation by combining multiple publicly available datasets

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-07-31T23:26:59.093016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:59.093016Z digest=sha256:29f2a8fb2f66e787689974079f6558147bc767afe06188ba0a93d34a1f2a64f1

Observation 56e80319-b7a4-41f0-8d07-35625f1baac0 · outbound

This paper cites an unresolved cited work.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Unresolved cited work

Reference 5

Resolution
malformed identifier
no resolver link, observed 2026-07-31T23:26:59.210409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:59.210409Z digest=sha256:bd90cd99621080f2d5b38d21ac64e3bba0562393886672365838cc1ebc40dd6a

Observation 64f6e134-aa2f-4cc4-bfc5-76f9d8fdbed7 · outbound

This paper cites an unresolved cited work.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:59.334811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:59.334811Z digest=sha256:014b564b0d497a3c3c1552c05811fe3bca5b2ae4df71d498e0504fbac28e1a9d

Observation 762f883f-3d86-429e-8d92-324311d993a7 · outbound

This paper cites First, MT and GRL are investigated as two separate strategies.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection First, MT and GRL are investigated as two separate strategies

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:59.457915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:59.457915Z digest=sha256:b1eac4be8e68b10a31472068ac2a65726cfecd3592fe114e5e7b7c441b0d72ae

Observation d89f258b-4f8a-425e-9156-f3dc99fc1db5 · outbound

This paper cites We thank Jan Vainer from Meaning for his helpful assistance.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection We thank Jan Vainer from Meaning for his helpful assistance

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:59.619906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:59.619906Z digest=sha256:2261a21eaf063b60d58e59da587ed0a0184505468a835882f7805f5d91f23831

Observation 5bf6ca91-532e-4058-9ac4-b7482a696029 · outbound

This paper cites All research ideas, experimental design, implemen- tation, data analysis, results, and conclusions were developed and finalized by the author.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection All research ideas, experimental design, implemen- tation, data analysis, results, and conclusions were developed and finalized by the author

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:59.793343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:59.793343Z digest=sha256:196218dac5c866e53a0b402df6b2f174e9272d5f7303cf7393118ba58e704472

Observation 1f0d9aea-95cb-4395-83a3-8b6043e81270 · outbound

This paper cites Asr model adaptation for rare words using synthetic data generated by multiple text- to-speech systems,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Asr model adaptation for rare words using synthetic data generated by multiple text- to-speech systems,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:59.880581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:59.880581Z digest=sha256:525aa90435a0b9ed7103e1b7fe423d39e0d03e09d1a1398085047cb50db211b2

Observation c8f50d31-b730-4256-8a49-779a686c64fb · outbound

This paper cites The defender's perspective on automatic speaker verification: An overview.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection The defender's perspective on automatic speaker verification: An overview

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.014748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.014748Z digest=sha256:34b9ab86b708c1b1347d1992bdbc52cf83ebfa4c2c2d88b0f190188a966e3aab

Observation 520d173b-1a37-4174-a272-65d50c447e63 · outbound

This paper cites Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.126694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.126694Z digest=sha256:0746d960c00c4eeff397474082831630dc333b8116d85679a65fc383c33ac892

Observation 73cfb624-1a90-4125-8304-dd56d6ca1086 · outbound

This paper cites A comprehensive survey with critical analysis for deepfake speech detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A comprehensive survey with critical analysis for deepfake speech detection,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.262594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.262594Z digest=sha256:0bd9bee72ea22901be354cc9408f391767cb7a06071401e9c80c98e5b011ce57

Observation e68dc202-5c55-41f7-83aa-9ae2f8939c64 · outbound

This paper cites Improving automatic speech recogni- tion performance for low-resource languages with self-supervised models,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Improving automatic speech recogni- tion performance for low-resource languages with self-supervised models,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.337905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.337905Z digest=sha256:798b9923086d515aa8bc513c38bea788b5824b3d245397f82afb92c4bf7ee3bb

Observation ffd2280f-f4ed-4f6d-a23d-e68325c13327 · outbound

This paper cites ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.427163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.427163Z digest=sha256:9be301905233dbf3c868394d7dafa56697ff57a161af8e8f1c5352e788aac624

Observation 0e45986a-2455-4df6-acc4-52d28aab381f · outbound

This paper cites A survey on speech deep- fake detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A survey on speech deep- fake detection,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.501506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.501506Z digest=sha256:0b154327320daefc9c19af93bd8e8945190f92f87298cab4ffa174a326d2f3f9

Observation babf1338-1d24-4fbc-b79c-e0232286d8da · outbound

This paper cites Singing Voice Graph Modeling for SingFake Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Singing Voice Graph Modeling for SingFake Detection

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.570427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.570427Z digest=sha256:3692145219d6e0c18402792524f3fa1d0c5adc76be378e8d11b12af4ce1c3dea

Observation 685881bf-2c0b-447a-abe9-f470c9b3fd86 · outbound

This paper cites Slim: Style- linguistics mismatch model for generalized audio deepfake de- tection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Slim: Style- linguistics mismatch model for generalized audio deepfake de- tection,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.633838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.633838Z digest=sha256:b77263bab297b0e07302d1c6cd9590e02c34473dbed1abacbd6197320d7e50d8

Observation 33f2ccd8-6bb8-46b3-87c4-77a1fb6909b3 · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.700908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.700908Z digest=sha256:ef1d952ac0102d07b75397aefa6e993c72d227b5b6fd9a6a581dc445da88e4d5

Observation cc2861ab-5218-44b2-a2ec-09fa1f1307ef · outbound

This paper cites A robust audio deepfake detection system via multi-view fea- ture,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A robust audio deepfake detection system via multi-view fea- ture,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.779637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.779637Z digest=sha256:86abc40e99ab609d1cd72925be14702dec823ad73a1eec4eb2862ad7250d950c

Observation caf4238c-11bb-4c9d-9871-c9e4f05cf1be · outbound

This paper cites V oice deepfake detec- tion using the self-supervised pre-training model hubert,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection V oice deepfake detec- tion using the self-supervised pre-training model hubert,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.853560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.853560Z digest=sha256:a6ac00d4b8d30c37b3cb07bfaf0345265f4007d1bb8f661b7d8e9c90202def80

Observation 7ee64046-3662-4720-8925-83485c629d0c · outbound

This paper cites Ur channel-robust syn- thetic speech detection system for asvspoof 2021,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Ur channel-robust syn- thetic speech detection system for asvspoof 2021,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.930295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.930295Z digest=sha256:2778f492c6cc7a8ba709a44710dc52d56417a5d7889bfe02fdfc4c7796b09be1

Observation 0d252a27-4633-4f69-9fc1-9536e66e5203 · outbound

This paper cites Transferring audio deepfake detection capability across lan- guages,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Transferring audio deepfake detection capability across lan- guages,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:00.982453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:00.982453Z digest=sha256:a0e31472267f000de9c79b53254865377845f4a556841a196dd9414b5fc393c7

Observation d8a33524-c9b7-4a33-9bd8-dfdbcb0abbe5 · outbound

This paper cites An empirical study on channel effects for synthetic voice spoofing countermeasure systems,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection An empirical study on channel effects for synthetic voice spoofing countermeasure systems,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.105943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.105943Z digest=sha256:58ebf6712fd813b91c976ee5a5fec44520a2fbabae2352114d7e6ed47f8ced2b

Observation dc91af25-e02e-4d85-96b2-9825f478bbda · outbound

This paper cites Vfd-net: V ocoder fingerprints detection for fake audio,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Vfd-net: V ocoder fingerprints detection for fake audio,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.172157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.172157Z digest=sha256:79cb17cd80162190467c12254c188cc61252f300b0e08783243224faf5f5a1ce

Observation 459f5b67-57bc-44ad-bd65-490ef13c89ae · outbound

This paper cites Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.251966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.251966Z digest=sha256:af8e4d550cb406cbe0b10cf22a9522922427ad7171cad600f009ea84d235c68c

Observation 56c7876a-36a3-4096-9d7b-f2868f12d60b · outbound

This paper cites Hm-conformer: A conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification to- ken aggregation methods,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Hm-conformer: A conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification to- ken aggregation methods,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.361571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.361571Z digest=sha256:a0871ecc7ad66159e36a04527158ebfac5bf14ac83847f956310c97540d1ca20

Observation 929a8326-9bf3-4735-b889-4a272f7b186b · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.470447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.470447Z digest=sha256:0c90cfe1626f8c2476e31e84ca02475dce2412f0046dd5829f9642588a4b9498

Observation 13d4a3f5-87ee-440b-9b08-aaf5ac8db66e · outbound

This paper cites Generalized Spoofing Detection Inspired from Audio Generation Artifacts.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Generalized Spoofing Detection Inspired from Audio Generation Artifacts

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.572345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.572345Z digest=sha256:79e78d6676c62ac023305e859656e606bbe6e1c224f9a58cc007bf264cde9a9e

Observation 39088ad7-79f9-48bc-a7b9-a9b7674c492c · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.711894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.711894Z digest=sha256:2df852d3890d7615b3dca7aabfc4d7081adc798e59abaf66d75e371c7a4bc242

Observation 1f996e3e-ffab-4109-98c9-79221fde8f6b · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.856841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.856841Z digest=sha256:c99760eb72e95a157450705a76c7970d5f767643b8c32c4c3cf42d9afd408ec8

Observation 0b861914-82ff-48b1-be3f-ce3c9abb3bc3 · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:01.981034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:01.981034Z digest=sha256:1c32caf914594425b0b41a9a5a9c642d919e75ba14349dad20017d447ce492d2

Observation af26c9ad-3b23-4deb-be16-701e9507960f · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.078077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.078077Z digest=sha256:99985e489e08effe1c26e4cb2f078154be19e6b58c7359d1dec92975962ab240

Observation 915029ad-842f-43e2-95f6-66fbaf89494a · outbound

This paper cites Audio deepfake detection with self-supervised xls-r and sls classifier,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Audio deepfake detection with self-supervised xls-r and sls classifier,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.227090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.227090Z digest=sha256:2330fe406b957c41e0a7a6e9359e489ea309b5193c569d8e2c8859209a4a6d9d

Observation 6f553419-8b9f-4ace-8593-21e7a54098b6 · outbound

This paper cites Audio deep- fake detection with self-supervised wavlm and multi-fusion atten- tive classifier,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Audio deep- fake detection with self-supervised wavlm and multi-fusion atten- tive classifier,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.297501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.297501Z digest=sha256:9afda4d4b9f711a4bf5e864facdc04cbaafc20e5b66ae55442eac49cd0760c35

Observation 6a00d65f-9842-4a00-9e25-804f8901be92 · outbound

This paper cites Comprehensive layer-wise analysis of ssl models for audio deep- fake detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Comprehensive layer-wise analysis of ssl models for audio deep- fake detection,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.398793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.398793Z digest=sha256:004805260ae421362befcae2984dc458ed6c2fae8930e076a46cd61ba48a45c6

Observation a1ff0b3b-ccfc-4792-815c-14797aec574d · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.490498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.490498Z digest=sha256:c248115a4b34864268706f1d8f6ceef76ba04400d92a7fbbcf760e0c9b04d7c1

Observation 19cd1bd1-1fd7-465d-bfff-47a130652c2f · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.589420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.589420Z digest=sha256:0ae77f58444e16da513e3a57f06fbefbc4350e1886ae2cfd6cf9bdd8d43ade34

Observation 62b980f6-bb8e-4ba6-8197-e4251ff5a905 · outbound

This paper cites Aasist: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Aasist: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.690436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.690436Z digest=sha256:d3f5a31554652e1057478139429f548ba2b9960e71ebcf2792cd1813baa83a99

Observation b1453b9c-e015-4be6-bef4-8c5e582d78db · outbound

This paper cites A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.783967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.783967Z digest=sha256:66fd09fdf4e513453f99f4bdb8776cd2aa969e58c23a89105377304411b576e1

Observation 9b2ec74a-e66c-42bf-837d-4830e65a1d9b · outbound

This paper cites Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.877234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.877234Z digest=sha256:c018a8ee8b6b468bba2aaceaf665c4c804fd83488411471c85e8081d0a73251a

Observation 519d7954-f21e-4bd5-9c6d-797bc14ae410 · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection MUSAN: A Music, Speech, and Noise Corpus

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:02.958355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:02.958355Z digest=sha256:5823662bbc40b361c7b12fb4384921aca2c07ea17abbfa6617ec2bbca429a373

Observation 14350ad8-7103-48ce-87cb-847d45ac1386 · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Raw- boost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.048074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.048074Z digest=sha256:247c5aaac3f0da1bb2da1ef57c0a84b0d0565ebeb0c5c27d0d846959633f800f

Observation 5fac8158-12e9-4aff-a6fc-9e0502b9881e · outbound

This paper cites Leveraging mixture of experts for improved speech deepfake de- tection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Leveraging mixture of experts for improved speech deepfake de- tection,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.117406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.117406Z digest=sha256:a50ff484bfc6078ef87c9b4545379ce7cfb7727f57bd8bc6618913a8a2ababb1

Observation 2c14d0c4-0f88-4624-9bb4-c45ff988f927 · outbound

This paper cites Dive into moe: Diversity-enhanced reconstruction of large lan- guage models from dense into mixture-of-experts,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Dive into moe: Diversity-enhanced reconstruction of large lan- guage models from dense into mixture-of-experts,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.218139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.218139Z digest=sha256:7b0d0f640725e80e3057e7862569ba72cb25b25fbad97fb3e32e90704ac8f870

Observation 7716cb0e-2e91-4621-bd9f-0289b1e4df84 · outbound

This paper cites Asvspoof: The automatic speaker verification spoofing and countermeasures challenge,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Asvspoof: The automatic speaker verification spoofing and countermeasures challenge,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.318880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.318880Z digest=sha256:0ec3f54da25a277292edb764fc4e8abac7e3f7daa87d7699d77497352158e85f

Observation 049da056-d5bc-4825-aeef-66e3d41a3e2a · outbound

This paper cites ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.417763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.417763Z digest=sha256:d6f0c138bc3f6237e847fd30ba690455406002d6e47f832f82e16bb47cc1d72c

Observation 2f7e4acd-b1d3-4ff7-a166-eecc6e145934 · outbound

This paper cites ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 49

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.481315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.481315Z digest=sha256:5b1736e9e4bdd12dac6298e2fdf98ca75c625e8e9a72ed1384de8d7672746dd4

Observation a3920314-4763-4681-806a-a7449ac1435e · outbound

This paper cites For: A dataset for synthetic speech detection.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection For: A dataset for synthetic speech detection

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.609407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.609407Z digest=sha256:227ce8656e6c900732442667c259b3fe23427a9b96429cee7e73364533dcc0d8

Observation ed684bd8-a346-43a9-b31c-4d75768a2ac4 · outbound

This paper cites Dfadd: The diffusion and flow- matching based audio deepfake dataset,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Dfadd: The diffusion and flow- matching based audio deepfake dataset,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.702682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.702682Z digest=sha256:9d48deb32e436ff2b6513f1d559e2fa66751b471566dfd710706ef61d230f920

Observation 98b47999-2ad6-45dd-8999-8c6578ccedff · outbound

This paper cites Mlaad: The multi- language audio anti-spoofing dataset,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Mlaad: The multi- language audio anti-spoofing dataset,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.797630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.797630Z digest=sha256:95a0d41eea287d957ac70b989bd7f5f4846b8397d157e4ec8bf2b533a3e317f8

Observation f89b24e3-32b8-4421-9535-15a6732fe993 · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection The codecfake dataset and counter- measures for the universally detection of deepfake audio,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.882846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.882846Z digest=sha256:d1fc8514e170dcca495519e746d89e5bd1b4e8ce55e3af61cf8f46b83d76c17a

Observation e56d14ec-eeed-4475-8634-41a523f42998 · outbound

This paper cites Spoofceleb: Speech deepfake detection and sasv in the wild,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Spoofceleb: Speech deepfake detection and sasv in the wild,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:03.977907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:03.977907Z digest=sha256:600d389f7e5044f268a48945fe4f0b13d9db636a910e382ef9776e5559b36e5e

Observation 4cf96ebb-5e36-4cfc-a81d-51b399b4e03d · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Lib- rispeech: an asr corpus based on public domain audio books,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.075643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.075643Z digest=sha256:3999d1102b0e26925dfab92a5df0b8d3514869571eff767a16054a902deb3da9

Observation 8aaa4204-8a79-4717-82db-f85feee7723d · outbound

This paper cites The first voiceprivacy attacker challenge,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection The first voiceprivacy attacker challenge,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.177684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.177684Z digest=sha256:6dceae6e48383e112214353c7235c3b1a3cb3237f5ed47e8f6b4d83fe13110c4

Observation 59ab9dcc-0244-48d2-babc-d75a5abcf011 · outbound

This paper cites Sonar: A synthetic ai-audio de- tection framework and benchmark,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Sonar: A synthetic ai-audio de- tection framework and benchmark,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.250123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.250123Z digest=sha256:765ec3e45e5fe14b2d2af677e99fe165608a75a568a12b453ae5d518d59cdce5

Observation c33881f8-9152-46fc-b8b9-8e2b25825690 · outbound

This paper cites Ai-synthesized voice detection using neural vocoder artifacts,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Ai-synthesized voice detection using neural vocoder artifacts,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.357311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.357311Z digest=sha256:69e164578d45e8f6f8c1b6005cb52078a059ec5276cc4a068cd9a6a4f4556602

Observation e555d357-2c8f-490e-a7b1-7f800f4d580d · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.463685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.463685Z digest=sha256:98d618e11e7e4de4947e9ce5526ec7ed0c6a6e555987d70602300d4ddfb9d720

Observation 25652869-4f36-42b9-9d04-e7c566a13d34 · outbound

This paper cites Does audio deepfake detection generalize?.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Does audio deepfake detection generalize?

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.576516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.576516Z digest=sha256:70e988a033adc07741b84caea82540c2e5cd860c767c93003555f8d2a4269d9d

Observation 0792ec62-40c9-4d85-a8d0-2b0f51e6e0d3 · outbound

This paper cites Add 2022: the first audio deep synthe- sis detection challenge,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Add 2022: the first audio deep synthe- sis detection challenge,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.680488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.680488Z digest=sha256:ddfa3f4379748f1427eaa53d65ffa40b2a8923cb3e9e2d5ddde28f73a00c2753

Observation c9e58472-da72-46d3-996a-8cd1eca8fe3c · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection ADD 2023: the Second Audio Deepfake Detection Challenge

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.789222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.789222Z digest=sha256:0a8751fd2c491c2fa8e2a3e803e2ab6fd47dd6e89634f5ad773c41358250e61c

Observation 713bb42f-fce5-4c43-9166-fa544617fe80 · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Exploring generalization to unseen audio data for spoofing: Insights from ssl models,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:04.928058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:04.928058Z digest=sha256:71dcf7fd3518c92cc80bf7afa633f2148062efaf406b20e3be13beb6bba4f626

Observation 68a1e3ab-ebfd-49a8-ab12-1759700a6bc2 · outbound

This paper cites Speech df arena: A leaderboard for speech deepfake detection models,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Speech df arena: A leaderboard for speech deepfake detection models,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:05.054757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.054757Z digest=sha256:827131975f9b007e704882cb4fd17529de9859b347cdcffb5d225ae80ee68324

Observation 25285fe2-94de-471b-a02e-3497ba36ea7b · outbound

This paper cites Do compact ssl backbones matter for audio deepfake detection? a controlled study with raptor,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Do compact ssl backbones matter for audio deepfake detection? a controlled study with raptor,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:05.184685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.184685Z digest=sha256:991a3863de535379156e2a653904f79d97554c3b510107e8392d4738e6636bf2

Observation bdbad376-d924-4084-97f4-3d7afb90acff · outbound

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

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 66

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:05.324499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.324499Z digest=sha256:cd5747249ab8443203cdd5b33d88ff756bd0d7af20411600cb187ffd02af04cd

Observation fc7fa19f-d842-4e15-ad1c-caa868fcd650 · outbound

This paper cites Nes2net: A lightweight nested architecture for foundation model driven speech anti-spoofing,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Nes2net: A lightweight nested architecture for foundation model driven speech anti-spoofing,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:05.434793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.434793Z digest=sha256:0104753573b46e4a513a0e7c61a4226f3ff173d6601128936eb9751e3ce8e0f3

Observation 82f4a9ca-6f23-4ca4-bb8e-976ee2d8103d · outbound

This paper cites Xlsr-mamba: A dual-column bidirec- tional state space model for spoofing attack detection,.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Xlsr-mamba: A dual-column bidirec- tional state space model for spoofing attack detection,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:05.544353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.544353Z digest=sha256:b96bc3e187d105a91e9e74b8324a910750036d4f14b358a9f1059198c9c7849e

Observation 657211b7-434e-4d3e-bf65-3943286f554b · outbound

This paper cites Improved DeepFake Detection Using Whisper Features.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Improved DeepFake Detection Using Whisper Features

Reference 69

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:05.652527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.652527Z digest=sha256:e7ae82dd33489c35e6ce93577e13bac56a8b83090c4faf740a167b858ac3cd9f

Observation 43581c37-f2a4-4509-babf-e337a3a127d3 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection SpeechBrain: A General-Purpose Speech Toolkit

Reference 70

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:05.730485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:27:05.730485Z digest=sha256:8a2fbf3ee99dc86234920fbf34ba3b91bad47511da71fdf49b1559c89caf86b0

Pith citing papers

Observation bc22a572-0508-4df4-a230-256339f3126e · inbound

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection cites this paper.

Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T23:26:58.758683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:26:58.758683Z digest=sha256:79e9807485275185ace2f963edd0f80960a38fae2560aa0579dcc1148e5c436b