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Paper Citation Record · LEDGER

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2506.02085.

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

pith.paper-citation-record.v1
2506.02085 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:32.252110Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:31.530707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:47:35.580952Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved9
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  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce04ab1a-b364-4908-978b-089f6fe899d4 · outbound

This paper cites Technology has made our lives much easier on one hand, and much harder to believe what we hear and see.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Technology has made our lives much easier on one hand, and much harder to believe what we hear and see

Reference 1

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 47e137d8-67d1-4714-b616-43f85057d044 · outbound

This paper cites We begin by providing a brief overview of the classification networks, the feature ex- traction method, and the Deep Neural Network (DNN) mod- els.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion We begin by providing a brief overview of the classification networks, the feature ex- traction method, and the Deep Neural Network (DNN) mod- els

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c24c4d94-4bc6-46e6-973d-d1df52b27a9e · outbound

This paper cites Dataset This work utilizes the MLAAD dataset [30] for the audio source tracing task.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Dataset This work utilizes the MLAAD dataset [30] for the audio source tracing task

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 551b1f8e-61bf-4109-b8eb-69bcf5d17e25 · outbound

This paper cites We adopted the evaluation mea- sures stated in Section 3.3.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion We adopted the evaluation mea- sures stated in Section 3.3

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 17a9ca4d-8998-426a-ac23-34d4ce76dd84 · outbound

This paper cites The proposed methods showed significant improvements over the baseline in both in-domain and OOD scenarios.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion The proposed methods showed significant improvements over the baseline in both in-domain and OOD scenarios

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7f73aea2-b633-4dbd-8bb1-3c7b15b9ede2 · outbound

This paper cites Our experiments demon- strated that while the best-performing models (S2, S3) exhibit strong in-domain performance, challenges persist in generaliz- ing to out-of-domain (OOD) data.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Our experiments demon- strated that while the best-performing models (S2, S3) exhibit strong in-domain performance, challenges persist in generaliz- ing to out-of-domain (OOD) data

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 491f9335-7902-407b-ba5e-c73f3b6bf852 · outbound

This paper cites Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b01bbd62-20de-42ef-b0f6-71950b2c83e5 · outbound

This paper cites PFFS-21-47), by the Swiss National Science Foundation through the project PASS: Pathological Speech Synthesis (grant agreement no.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion PFFS-21-47), by the Swiss National Science Foundation through the project PASS: Pathological Speech Synthesis (grant agreement no

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 34573a11-5338-48e0-8e77-95ada6d76366 · outbound

This paper cites kNN retrieval for simple and effective zero-shot multi-speaker text-to-speech,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion kNN retrieval for simple and effective zero-shot multi-speaker text-to-speech,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3c762332-a60b-4020-a951-d047bf5c2fff · outbound

This paper cites Un- supervised rhythm and voice conversion of dysarthric to healthy speech for asr,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Un- supervised rhythm and voice conversion of dysarthric to healthy speech for asr,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d9b8f95e-2c49-42d1-88ac-939e77122ed2 · outbound

This paper cites Asvspoof 2019: Future horizons in spoofed and fake audio detection,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Asvspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4852a6fb-1fda-4bb9-ab50-d3a3d85de33a · outbound

This paper cites Exploring generalization to unseen au- dio data for spoofing: insights from ssl models,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Exploring generalization to unseen au- dio data for spoofing: insights from ssl models,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:31.792957Z digest=sha256:261fae8c2fc7388633fa2582a01d78e548ff69e5c986008b9a13a0a8a6313cf9

Observation 90775579-a1ed-4503-b0cf-2f1e703b6d9c · outbound

This paper cites Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,

Reference 13

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raw_fallback, observed 2026-08-07T11:42:33.942706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:31.820696Z digest=sha256:8bb41e9715e792159f4f33e322493dbe6a48c842c71b83c951c2892dec0856f0

Observation 4662d544-0a2c-4a41-b326-23bcc159aaf9 · outbound

This paper cites Synthetic speech detection through short-term and long-term prediction traces,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Synthetic speech detection through short-term and long-term prediction traces,

Reference 14

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raw_fallback, observed 2026-08-07T11:42:33.893912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6e869afd-e7fe-452c-9020-c5f7fa770ddb · outbound

This paper cites Distinguish- ing neural speech synthesis models through fingerprints in speech waveforms,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Distinguish- ing neural speech synthesis models through fingerprints in speech waveforms,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e9479198-9b54-44c9-a935-581983ff6ca4 · outbound

This paper cites Source tracing: Detecting voice spoofing,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Source tracing: Detecting voice spoofing,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 32e76d61-7d6c-4be6-95a6-1d55514182ec · outbound

This paper cites Source trac- ing of audio deepfake systems,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Source trac- ing of audio deepfake systems,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f9127a58-deb0-4a2d-9deb-d03a9fa16a02 · outbound

This paper cites Add 2023: the second audio deepfake detection challenge,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Add 2023: the second audio deepfake detection challenge,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6433eabb-1350-4246-a0f1-baad25c70457 · outbound

This paper cites Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c8b59e0-43ab-43c9-b75e-c57a11d170b5 · outbound

This paper cites Generalized source tracing: Detecting novel audio deep- fake algorithm with real emphasis and fake dispersion strategy,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Generalized source tracing: Detecting novel audio deep- fake algorithm with real emphasis and fake dispersion strategy,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cfd4750d-93bc-4795-9ea9-88f86b84ea94 · outbound

This paper cites Detecting domain shift in multiple instance learning for digital pathology using fr ´echet domain distance,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Detecting domain shift in multiple instance learning for digital pathology using fr ´echet domain distance,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 58077076-1b8c-4b81-b149-a0ed9a11be59 · outbound

This paper cites Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b193fd71-4b73-43ab-ba07-37bfedc4157a · outbound

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

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Conformer: Convolution-augmented transformer for speech recognition,

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 67e9b9b0-9fcc-4eb7-9167-d905d466df8f · outbound

This paper cites Improved deep metric learning with multi-class n-pair loss objective,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Improved deep metric learning with multi-class n-pair loss objective,

Reference 24

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Source-reported events for the cited work

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Observation 63e218a9-5601-46f8-8f1d-36c7080b7ba3 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Mamba: Linear-time sequence modeling with selective state spaces,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 157c5f56-da56-43b9-849a-63e4f9e65fe8 · outbound

This paper cites Hydra: Bidirectional state space models through generalized matrix mixers,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Hydra: Bidirectional state space models through generalized matrix mixers,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation adb0f57c-967c-4cf7-94f9-dae64efb7733 · outbound

This paper cites Principles of risk minimization for learning the- ory,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Principles of risk minimization for learning the- ory,

Reference 27

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raw_fallback, observed 2026-08-07T11:42:32.831649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:32.090074Z digest=sha256:58f55d0f62dabf636ca14528fdb623df2597851335224bc002586aea16cc97be

Observation 5aac362d-8376-4293-bd9d-6e9c4b9d8000 · outbound

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

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 28

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raw_fallback, observed 2026-08-07T11:42:33.255140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:31.931063Z digest=sha256:5e608fdb86f389df5f508dd062fe48a6fa6ddfd5ce9426f6db53c4beb5d70cc1

Observation d2290c48-e006-40bb-84ac-8cb32bc918f3 · outbound

This paper cites Temporal-channel modeling in multi-head self- attention for synthetic speech detection,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Temporal-channel modeling in multi-head self- attention for synthetic speech detection,

Reference 29

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raw_fallback, observed 2026-08-07T11:42:33.197940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2746c723-2502-401e-a837-42d602a8eba4 · outbound

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

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Audio deepfake detection with self-supervised xls-r and sls classifier,

Reference 30

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raw_fallback, observed 2026-08-07T11:42:33.140974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 87949962-c8f0-4b13-ac52-c826e89229d1 · outbound

This paper cites XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:31.948535Z digest=sha256:92ac3d2ea5fed7736d8123f97fa99bebfea48d56fad572905390fa539c001858

Observation 98f26dd0-b0b7-466c-88fc-467ad4f2a07d · outbound

This paper cites Mfa-conformer: Multi-scale feature aggregation con- former for automatic speaker verification,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Mfa-conformer: Multi-scale feature aggregation con- former for automatic speaker verification,

Reference 32

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raw_fallback, observed 2026-08-07T11:42:33.077265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:31.974717Z digest=sha256:5e37e5f091a61c125c778b6063157e81e1af8bf5b8cc94c67b2afaf35bde69f0

Observation 1262dee3-deb2-49d7-9a46-561b6d0717c4 · outbound

This paper cites Attention is all you need,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Attention is all you need,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:42:33.016731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:31.997411Z digest=sha256:e9a224f7379b6f8f14182fde83031175b3fe484dffecd8d5b57ebd1df1dba13a

Observation e13cfc37-5f6f-4972-8d87-e58e87f8f295 · outbound

This paper cites One-class learning towards syn- thetic voice spoofing detection,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion One-class learning towards syn- thetic voice spoofing detection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:42:32.962871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:32.018230Z digest=sha256:e931102838c05ecaeaa94d8afc2bcd2bb107632c1f95e36736f9a410022004fa

Observation 039e6b4f-eb65-445f-9572-225ff16415bb · outbound

This paper cites Vicinal risk minimization,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Vicinal risk minimization,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:42:32.903189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:32.058961Z digest=sha256:fb2bc81f4e16eae351cd166fde693fdfa6d96b5f64187331b1ed78cb5b0af606

Observation da32ed6f-f455-491d-80e3-4bb75a90ddbe · outbound

This paper cites Using mixup as a regularizer can surprisingly improve accuracy & out-of-distribution robustness,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Using mixup as a regularizer can surprisingly improve accuracy & out-of-distribution robustness,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:42:32.752514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:32.111516Z digest=sha256:dffa4a4e1032e07524ea6d351c4b61b15841d5e1f4206e192d307340f07f247b

Observation c7109c1d-c364-4673-b37c-c27ec0458ecb · outbound

This paper cites Deep metric learning: A survey,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Deep metric learning: A survey,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:42:32.705942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:32.132853Z digest=sha256:1f37f3e4284eaf82bd90dd6261ed9c78646ef51f0688c8991b5195393fae1669

Observation 037900d7-fdea-4a16-99f6-572b187b6526 · outbound

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

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Mlaad: The multi- language audio anti-spoofing dataset,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:32.161387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:32.161387Z digest=sha256:8f4d10456a9407e4d4aae5666d0fbec8a3d23580063ff7784023cd2d8a3a1253

Observation a63b5e85-9e94-4ddb-8727-4c7e8bcb102f · outbound

This paper cites Using mlaad for source tracing of audio deepfakes,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Using mlaad for source tracing of audio deepfakes,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:32.187321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:32.187321Z digest=sha256:a0b95fb551cd0d5743dad26ea2237bf284bd755090e1e03be1fc31030d6c166f

Observation ec919e96-4a76-4366-a6c5-5fcc086b2594 · outbound

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

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion MUSAN: A Music, Speech, and Noise Corpus

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:32.209150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:32.209150Z digest=sha256:92ebfbba3f4e1db531148c58a26b24f194b86cb1606e4aefd48e6447038be02d

Observation 897b0016-e015-4e34-9aea-85cca043cffb · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion A study on data augmentation of reverberant speech for robust speech recognition,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:42:32.629463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:32.230577Z digest=sha256:7c86e7237c0e358657caf003d17f2bda7ea5798579684be42a3bb7b38fb96d26

Observation 2a68cd34-7b6f-4d95-a714-76ab88e21480 · outbound

This paper cites Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:32.252110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:32.252110Z digest=sha256:b55793dda5163ce4dcebcab954badd5de10c0cfecbf914904a077915357cf57e

Observation f385e76d-28df-4241-b569-db4effa6bf74 · outbound

This paper cites Available: https://openreview.net/forum?id= preo49P1VY.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Available: https://openreview.net/forum?id= preo49P1VY

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:42:33.308392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:42:31.919781Z digest=sha256:d85f0e8543e373e0a71dc7a78d422f4267fd24e5fd622ca782926a6974bdf952

Pith citing papers

Observation 491f9335-7902-407b-ba5e-c73f3b6bf852 · inbound

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion cites this paper.

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:31.530707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:31.530707Z digest=sha256:96a30f6da7d6284d2811b1832d3eeaaa5a6723eed64247db7c82e5b46533708c

Observation 3293b9f7-549c-4ce2-bf7f-415e2c0e1a3a · inbound

Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing cites this paper.

Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:47:35.582624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T14:45:45.359616Z digest=sha256:e24b970d98f8e90eca31301d83aed65fd35aaeef40700a68f87ea96cff30ead5