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Paper Citation Record · LEDGER

Generalizable Audio Spoofing Detection using Non-Semantic Representations

As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2509.00186.

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

pith.paper-citation-record.v1
2509.00186 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:55:19.657537Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:50:21.120714Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:55:20.441277Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact3
  • verified fuzzy25
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69896137-6f92-4866-b7d0-4dd1e8145067 · outbound

This paper cites In the Wild.

Generalizable Audio Spoofing Detection using Non-Semantic Representations In the Wild

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T13:55:25.733276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.210708Z digest=sha256:80a38c18b2053daa740cf6cf47c5974c7a392bbb71e4548513fe0940601e08a1

Observation 24dc9567-986e-41ab-98fc-8fe2e3c9c445 · outbound

This paper cites Initially, the input audio waveform is chunked into frames and each chunk is processed through TRILL or TRILLs- son models to extract audio representations.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Initially, the input audio waveform is chunked into frames and each chunk is processed through TRILL or TRILLs- son models to extract audio representations

Reference 2

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raw_fallback, observed 2026-08-05T13:55:25.555041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.438087Z digest=sha256:40cfb40eedd6835635a852fa7044c113f4bb451ce27b37ddfe53b102fd72700d

Observation 12dc41d1-7d25-4fa1-b5e9-de1987b5012c · outbound

This paper cites Datasets W e conducted extensive experiments using four distinct English datasets.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Datasets W e conducted extensive experiments using four distinct English datasets

Reference 3

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raw_fallback, observed 2026-08-05T13:55:25.351331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.535619Z digest=sha256:91c4aa71f6bf92ed222114cee384bcf6262c8aa18956319fc966bed9cf6a0d0d

Observation dbacd509-8b14-47f6-9841-fdaa09f9df58 · outbound

This paper cites The results are presented in T able 1.

Generalizable Audio Spoofing Detection using Non-Semantic Representations The results are presented in T able 1

Reference 4

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malformed identifier
raw_fallback, observed 2026-08-05T13:55:25.138367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.601890Z digest=sha256:0eb2d27be7fedfadc7a4834e6713fb91b7e31b64edcb464b53a795cfe17e4c7c

Observation 52c2db8e-d509-40f9-ab54-82d430059eeb · outbound

This paper cites W e perform extensive experiments to find the most suitable TRILLsson model and optimal chunking duration to balance the local and global temporal features.

Generalizable Audio Spoofing Detection using Non-Semantic Representations W e perform extensive experiments to find the most suitable TRILLsson model and optimal chunking duration to balance the local and global temporal features

Reference 5

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raw_fallback, observed 2026-08-05T13:55:24.776420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.819089Z digest=sha256:bc1cd300545d208b5fc56d2e43745d6c7c75e63031cd698ad0b916a7ef31782c

Observation e1217572-2282-4a80-82cf-c252e5ab2875 · outbound

This paper cites an unresolved cited work.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-05T13:55:24.609030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.895836Z digest=sha256:af46c111e9a6b4271a6716eac3d13e72bf1317e2c442bd11b1ee2f828bccfc48

Observation 03d5bfdc-5248-4e35-975c-9eecea3681c7 · outbound

This paper cites Relative phase information for detecting human speech and spoofed speech.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Relative phase information for detecting human speech and spoofed speech

Reference 7

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raw_fallback, observed 2026-08-05T13:55:23.684648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.468369Z digest=sha256:685c9236d62787d16cbaaa9dfe0cf7d45ab64fb4d0491b35eb520a889b9f23ad

Observation 539820be-08c3-4cfc-9e72-11de312d9131 · outbound

This paper cites Generalizable Audio Spoofing Detection using Non-Semantic Representations.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Generalizable Audio Spoofing Detection using Non-Semantic Representations

Reference 8

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metadata mismatch
local_arxiv, observed 2026-08-05T13:55:20.496504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.355107Z digest=sha256:8cc4a3a060ee2ddcfe4fe6aa2edd6bbec4224a195aebab03f802ceba32dd1292

Observation ad9bf454-b274-4279-9ca1-b4ca27ac1e9c · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech,

Reference 9

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raw_fallback, observed 2026-08-05T13:55:24.436508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.971530Z digest=sha256:e08c0368e4d3f6a087c98b1e929fec5862d5b9b5227d65aa159ae53a3fb3d850

Observation 1c65d7c4-6307-432c-a9a0-aeb6b434c17a · outbound

This paper cites Does audio deepfake detection generalize?.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Does audio deepfake detection generalize?

Reference 10

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no resolver link, observed 2026-08-05T13:55:17.049614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:17.049614Z digest=sha256:c576307618b35ddc1188b7ad3718ed771ef621095033790d188c544fab9f5e9e

Observation e061d810-75a2-480f-a57a-cdce569056ac · outbound

This paper cites Resnet and model fusion for automatic spoofing detection.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Resnet and model fusion for automatic spoofing detection

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T13:55:24.232885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.130519Z digest=sha256:131eb90c5ba1e18f436d99529118c505b4630b7c7a2b447363dc2557dcae0609

Observation 67640e66-052f-4740-8443-76367753ba39 · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations Replay and synthetic speech detection with res2net architecture,

Reference 12

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raw_fallback, observed 2026-08-05T13:55:24.033733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.201712Z digest=sha256:a69549dbff76232d33fc83f864f50280ddac6273c9382720a88be7ef3f0a78e8

Observation 7c1632a8-6075-4c16-a8aa-95ffd633ceb5 · outbound

This paper cites Fake speech detection using residual network with transformer encoder,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Fake speech detection using residual network with transformer encoder,

Reference 13

Resolution
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raw_fallback, observed 2026-08-05T13:55:23.848346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.276137Z digest=sha256:92fd9a70c130ef63a895804fb3e4e2f78f34255832abb7d46e35be92b991e9d6

Observation bfffb3f5-1a15-40f7-8490-85f8460c9173 · outbound

This paper cites Audio Deepfake Detection: A Survey.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Audio Deepfake Detection: A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:17.373586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:17.373586Z digest=sha256:652ed34f1303bdce79bf18b19e9a1f5a06f8df638ffa337e278b9a7d0c01043a

Observation 78f7892f-3096-407b-a526-7d0f98aa1e50 · outbound

This paper cites AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:22.327457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.132951Z digest=sha256:dae3e33d8e0e719a568608734904eb74379a24faa0fd447625fb1e2ca822dfd9

Observation acb983c4-7bea-41d7-914e-729dabfc3ecf · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations Ur channel-robust synthetic speech detection system for asvspoof 2021,

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:55:20.240050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.535922Z digest=sha256:6ef55598cdc489f3012926555b659c045480b0690875e5dab1a1adc5d3bb64f7

Observation 82df6cba-b3bb-4d3f-98a8-af410fd48480 · outbound

This paper cites A comparison of features for synthetic speech detection,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations A comparison of features for synthetic speech detection,

Reference 17

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raw_fallback, observed 2026-08-05T13:55:23.510119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.671294Z digest=sha256:75ae3f33405584ab4f10998a7225e7c7a3dbe99e50663a67c77cb2db8ec20221

Observation 9b35c735-b1f7-4ede-af1e-003e90059020 · outbound

This paper cites T owards end-to-end synthetic speech detection,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations T owards end-to-end synthetic speech detection,

Reference 18

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raw_fallback, observed 2026-08-05T13:55:23.181296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.729282Z digest=sha256:8b400ea5906a878cae37099c270f0e3200136b07a1b2abb2ed77973837b75378

Observation 9bb41311-c237-4418-a328-f622d693e473 · outbound

This paper cites Multi-task learning improves synthetic speech detection,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Multi-task learning improves synthetic speech detection,

Reference 19

Resolution
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raw_fallback, observed 2026-08-05T13:55:22.906864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:17.821025Z digest=sha256:2d117dc64a9623b8ed60d2a9f0ff3579dc67ad52559be0ac9ecd92c491448f67

Observation 0cf6da84-779d-4589-8cf6-a1376b3101e1 · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

Reference 20

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no resolver link, observed 2026-08-05T13:55:17.884576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:17.884576Z digest=sha256:5f1201e0bb7793cc5b22ea07b1b1a9350ec3d98f906579ce259b2fee68c98617

Observation 2870a2f9-4a44-4396-9947-e5fb20705d84 · outbound

This paper cites Speaker recognition from raw waveform with sincnet,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Speaker recognition from raw waveform with sincnet,

Reference 21

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no resolver link, observed 2026-08-05T13:55:17.966404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:17.966404Z digest=sha256:ce9cb31fda3764a5a907d1eddd9e1ae0fce25471a10f19e1ffaa9ab3f528990f

Observation 1430422c-6d30-4013-8b77-0a4f5d16045b · outbound

This paper cites Advanced rawnet2 with attention- based channel masking for synthetic speech detection,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Advanced rawnet2 with attention- based channel masking for synthetic speech detection,

Reference 22

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raw_fallback, observed 2026-08-05T13:55:22.606028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.060418Z digest=sha256:06158adb10df56d394aa2a6b95cef008d0113d2ce5b32c70c41228261387d8d5

Observation 0944ebae-b4b0-447c-9692-79e4e917056f · outbound

This paper cites Towards Learning a Universal Non-Semantic Representation of Speech.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Towards Learning a Universal Non-Semantic Representation of Speech

Reference 23

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no resolver link, observed 2026-08-05T13:55:18.816682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:18.816682Z digest=sha256:e5560a432bcc5ccb10543f4acd054734c0d33df7ccdcaec3d3b1d3e32a794c1c

Observation 63d176cf-b1fb-445c-a424-4952d9f97d72 · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations A robust audio deepfake detection system via multi-view feature,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:22.052308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.190662Z digest=sha256:f78dd6944d8ff0db06d98a78eff700890c03eb4c219fa072fec9084907259606

Observation b1e5f998-c1c8-4785-91e5-dd8b66b957c6 · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 25

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no resolver link, observed 2026-08-05T13:55:18.277810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:18.277810Z digest=sha256:0c3f01f8680b5b9af52ae73e5efec11d7528a43f389ba430e031c5aa58c9279c

Observation 624e3ae5-2f4a-48f8-923b-1d257798571b · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations W avLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 26

Resolution
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raw_fallback, observed 2026-08-05T13:55:21.827909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.361581Z digest=sha256:266e1ea53359cdb7122f323f559863656e9df1efc37287eb2916465c30f37f5e

Observation a4f6b350-65ae-4041-86d2-51f59f3be15c · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:21.602155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.467070Z digest=sha256:dfa9b9555da07c959245d97d82d4b994fac8e13d0ba70e8327bbdc25d3143c91

Observation c79c5911-4407-4dbc-958a-1adc6118ac81 · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations Exploring generalization to unseen audio data for spoof- ing: Insights from ssl models,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:21.326332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.555336Z digest=sha256:cb2c23fca4352db97317b4c12214366a4e3eee5bb76ab6a52a8f5f78aa9ccdb9

Observation 99ef9ae6-dc3b-4e3b-8422-a1ff46782b01 · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 29

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unresolved
no resolver link, observed 2026-08-05T13:55:18.642650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:18.642650Z digest=sha256:803a71156d84071e5d7edd829cf811260c40a8fe6d87b17a9b64353fea31eccd

Observation e25cfc55-f110-4080-aefb-f4ff357bbc0a · outbound

This paper cites MLAAD: The Multi-Language Audio Anti-Spoofing Dataset.

Generalizable Audio Spoofing Detection using Non-Semantic Representations MLAAD: The Multi-Language Audio Anti-Spoofing Dataset

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:18.739632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:18.739632Z digest=sha256:7474166d4f09e170b72b63a4ba74cea041921acb94a8a6c9faf9b6877f9c83e2

Observation 0c57f54a-865a-4372-b2bd-7ea874dddeec · outbound

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

Generalizable Audio Spoofing Detection using Non-Semantic Representations Audio deepfake detection with self-supervised xls-r and sls classifier,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:20.719919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:19.455717Z digest=sha256:dff1e8572afe70d6448f1d713fdd6733a39b58e15762ddcb9a76ec99b9a5721e

Observation cf2c4358-cce5-4475-836e-1ce2b613bb92 · outbound

This paper cites This gives us insight that features extracted over a duration of average syllable length are more beneficial for spoofing detection tasks.

Generalizable Audio Spoofing Detection using Non-Semantic Representations This gives us insight that features extracted over a duration of average syllable length are more beneficial for spoofing detection tasks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:24.939678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.685798Z digest=sha256:816a56f750a1c23599ae27f254bee60e61990dd7118ebc975b39609f2a3b70a5

Observation 572231c0-dbee-430e-8b47-9a111b99a5f7 · outbound

This paper cites TRILLsson: Distilled Universal Paralinguistic Speech Representations.

Generalizable Audio Spoofing Detection using Non-Semantic Representations TRILLsson: Distilled Universal Paralinguistic Speech Representations

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:55:19.972447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.869944Z digest=sha256:8c26009b9aeba2aa35e4effa8d22afcfe7a5a8303c3c044fe66c8885f253c1cd

Observation fc7f36cd-3d29-4d44-ab0b-1efb3dab4bcb · outbound

This paper cites Self- normalizing neural networks,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Self- normalizing neural networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:21.146141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:18.957534Z digest=sha256:c48c37a2af1c7af498390170292cc835052aaf1a09dba085fd493ee81ad0e982

Observation c6e03aa8-a717-4527-a7f9-b45650198a11 · outbound

This paper cites CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),.

Generalizable Audio Spoofing Detection using Non-Semantic Representations CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:21.034346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:19.066896Z digest=sha256:d08beb308a032d4d8090254cfd9bcedf6eff0b7e7efd047f305e6de6a8c6e1b7

Observation bf1a2af7-3b66-4177-aa54-39c323f20fd6 · outbound

This paper cites ASVspoof 2021: T owards spoofed and deepfake speech detection in the wild,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations ASVspoof 2021: T owards spoofed and deepfake speech detection in the wild,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:20.963937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:19.131502Z digest=sha256:6e8ddab6e1cd2e47a1f35c2f045a34a10b8835fa33920c06e15f4f915ab94f4a

Observation d88ac0a8-0e34-4277-8ab3-641c88959888 · outbound

This paper cites Investigating self-supervised front ends for speech spoofing countermeasures.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Investigating self-supervised front ends for speech spoofing countermeasures

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:19.205724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:19.205724Z digest=sha256:454cf10fc1c3500d271703c6ce371a3af252731088161b8e3b195a1df257eeea

Observation 4f3ef205-f176-42e6-bb65-116e874b1ad4 · outbound

This paper cites Lever- aging positional-related local-global dependency for synthetic speech detection,.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Lever- aging positional-related local-global dependency for synthetic speech detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:20.848923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:19.269691Z digest=sha256:a4b41f9668efa92f27085310b21a9ea7f435689ac50682c67ab3efe9f75b4e1f

Observation 4f7c1ed3-d8e2-491a-bf7a-1384124f87e6 · outbound

This paper cites DF40: Toward Next-Generation Deepfake Detection.

Generalizable Audio Spoofing Detection using Non-Semantic Representations DF40: Toward Next-Generation Deepfake Detection

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:19.374122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:19.374122Z digest=sha256:4f075eb84c5bd8e9d910db4b63547a0330c4ee2569fdffffde8be83594aebd62

Observation 7a2a2976-620d-49fe-b59d-102ed3645829 · outbound

This paper cites SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech.

Generalizable Audio Spoofing Detection using Non-Semantic Representations SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:55:19.811280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:19.542747Z digest=sha256:7e4eab57f175b1f643b0f1c48412f148b0f848fd9bec2c0ef4e8451406b48eb4

Observation 451cc3be-3a1c-4e1d-ad45-49537757995c · outbound

This paper cites Syllable-level duration determination.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Syllable-level duration determination

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:55:20.611212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:19.657537Z digest=sha256:48a9aa239e9e4a1ddf6b1e30224e1daa9100c8e649599b29b1eebca3e4ffdc29

Pith citing papers

Observation 539820be-08c3-4cfc-9e72-11de312d9131 · inbound

Generalizable Audio Spoofing Detection using Non-Semantic Representations cites this paper.

Generalizable Audio Spoofing Detection using Non-Semantic Representations Generalizable Audio Spoofing Detection using Non-Semantic Representations

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:55:20.496504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:55:16.355107Z digest=sha256:8cc4a3a060ee2ddcfe4fe6aa2edd6bbec4224a195aebab03f802ceba32dd1292

Observation d3aa8b9d-dd17-4099-b745-ff8498d19f03 · inbound

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks cites this paper.

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks Generalizable Audio Spoofing Detection using Non-Semantic Representations

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-08T11:50:21.120714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:50:21.120714Z digest=sha256:256ccfce922e636bf1d633e8de3b1c502842a3222427c5868d1b14a529d65315