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Paper Citation Record · LEDGER

Comparative Analysis of ASR Methods for Speech Deepfake Detection

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.17349.

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

pith.paper-citation-record.v1
2411.17349 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:17:09.967953Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e79e0bc8-bcc7-4840-852b-4db23dd2207c · outbound

This paper cites AI-synthesized faces are indistinguish- able from real faces and more trustworthy,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection AI-synthesized faces are indistinguish- able from real faces and more trustworthy,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.206515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1245c9e8-e025-45de-878c-67076754ae9f · outbound

This paper cites Open challenges in synthetic speech detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Open challenges in synthetic speech detection,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.197857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0a35ce66-c303-41a0-b520-1c6fe7e64df0 · outbound

This paper cites An Overview of Recent Work in Mul- timedia Forensics,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection An Overview of Recent Work in Mul- timedia Forensics,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.188972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9a602cf-9c57-42ff-be15-554a6fd56ea1 · outbound

This paper cites AI-Synthesized V oice Detection Using Neural V ocoder Artifacts,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection AI-Synthesized V oice Detection Using Neural V ocoder Artifacts,

Reference 4

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raw_fallback, observed 2026-08-12T12:17:10.180377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a73cb0f4-ccbf-47d8-b9e6-728128bc7d1c · outbound

This paper cites AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks,

Reference 5

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raw_fallback, observed 2026-08-12T12:17:10.171666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.905115Z digest=sha256:d6c446095d38996d7f3cce53a97dc5c085605f55d217a9c5d43b0902de3a334f

Observation 7a2d0516-a63c-4d0e-89e6-b489c3afd025 · outbound

This paper cites Combin- ing Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Combin- ing Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection,

Reference 6

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raw_fallback, observed 2026-08-12T12:17:10.161037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.908403Z digest=sha256:d7b2288cc1a1206d756c80dd4624302bfbdc9104e0e641bb7f022f5a50730a95

Observation 25a46431-dd31-46db-8b1e-9f6f4413be80 · outbound

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

Comparative Analysis of ASR Methods for Speech Deepfake Detection A robust audio deepfake detection system via multi-view feature,

Reference 7

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raw_fallback, observed 2026-08-12T12:17:10.152711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.911737Z digest=sha256:77751a60ba45ba383f14d7c8dfcdcfdf22fbfc0bab5209b2c2f39375d9c1c355

Observation 3738444e-4290-4ec4-a4ed-e43db1028dd5 · outbound

This paper cites Fairssd: Understanding bias in synthetic speech detectors,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Fairssd: Understanding bias in synthetic speech detectors,

Reference 8

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raw_fallback, observed 2026-08-12T12:17:10.143307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.914977Z digest=sha256:c3b083aca39286b86dd999149c0a57cee221a62729cf4ed202dbf18ff5c25961

Observation 8684edb9-b405-4062-bf48-d6873b8692ea · outbound

This paper cites Reliability estimation for syn- thetic speech detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Reliability estimation for syn- thetic speech detection,

Reference 9

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raw_fallback, observed 2026-08-12T12:17:10.133630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.917989Z digest=sha256:a074bf6e1cee551d9d9ed972c21304ca26dc123a447f1ab13d7c77ee458042a4

Observation 5624482e-ebe8-4a4c-b7f9-bf9b450500fe · outbound

This paper cites Is Synthetic V oice Detection Research Going Into the Right Direction?.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Is Synthetic V oice Detection Research Going Into the Right Direction?

Reference 10

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raw_fallback, observed 2026-08-12T12:17:10.124372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.921697Z digest=sha256:a06076bbd6470f7c6771445afcc7db0a6cab8294e3f642eee2d38f6dba6f11f7

Observation fc53ef95-26f1-46a0-9e8b-29a1d7df7090 · outbound

This paper cites Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content,

Reference 11

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raw_fallback, observed 2026-08-12T12:17:10.114763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.924408Z digest=sha256:3c043f1e7421e8d39cc9ff859aa31532978f9137f62c9e6c25217b5f846520a8

Observation 1f898512-9fc8-4559-b7e8-c9e71f5a2333 · outbound

This paper cites Improving Domain Gen- eralization in Speech Emotion Recognition with Whisper,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Improving Domain Gen- eralization in Speech Emotion Recognition with Whisper,

Reference 12

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raw_fallback, observed 2026-08-12T12:17:10.106134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.927330Z digest=sha256:e3cd2e7affa93cd3da866142c5b91145a0131f4669e88325703d69a9ca33dde2

Observation 661f3216-0242-45d0-8085-2ee7c0d39b2e · outbound

This paper cites Addressing Data Scarcity in V oice Disorder Detection with Self- Supervised Models,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Addressing Data Scarcity in V oice Disorder Detection with Self- Supervised Models,

Reference 13

Resolution
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raw_fallback, observed 2026-08-12T12:17:10.096637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.930148Z digest=sha256:338165f5873c9b3a9f4ce3db4f05b421cb7ec3c23529be1229e22fd731d4a197

Observation b4f626d9-408c-439a-ba91-2047aec8e1e5 · outbound

This paper cites Automatic Speaker Verification Spoofing and Deepfake Detection Us- ing Wav2vec 2.0 and Data Augmentation,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Automatic Speaker Verification Spoofing and Deepfake Detection Us- ing Wav2vec 2.0 and Data Augmentation,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.088020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.933410Z digest=sha256:cf488edfa89afcb2e18392356121b66cf57b513348f86539fb3a0e5a8e8d2de3

Observation 23d3a2d9-f893-49ca-98e6-0790075384a7 · outbound

This paper cites Improved DeepFake Detection Using Whisper Features,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Improved DeepFake Detection Using Whisper Features,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.078574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.937273Z digest=sha256:79db30bc20de48c0dfe630bb7dbb8c2442cf1cce0424e2113c74149fc8c2aad4

Observation 60f51878-7c1e-4b38-9d82-32d0ce65534e · outbound

This paper cites Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier,

Reference 16

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raw_fallback, observed 2026-08-12T12:17:10.069067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.940171Z digest=sha256:b305adabe7902cd99ac7aa73a50569fd4c2025efb653106dd108a9a2ca2616b2

Observation dd5184c0-f2c8-448c-b999-f072bd6b4324 · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Robust speech recognition via large-scale weak super- vision,

Reference 17

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raw_fallback, observed 2026-08-12T12:17:10.059627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5bf10a77-66eb-4c97-8b07-b9e6b5091fee · outbound

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

Comparative Analysis of ASR Methods for Speech Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 18

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unresolved
no resolver link, observed 2026-08-12T12:17:09.946914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:17:09.946914Z digest=sha256:9516718cdbddf14d53e8bab79256febefcc39730707bd7312c3f6e79562568f9

Observation 3e6450de-828a-4ce0-868e-9fff77f65d36 · outbound

This paper cites Improved DeepFake Detection Using Whisper Features,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Improved DeepFake Detection Using Whisper Features,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.045560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.950259Z digest=sha256:b060503e48db8b9de753f77af9eed758d507c0485942476f69ce833cadf272dd

Observation 07413c57-1850-4e17-ba81-9c9155666464 · outbound

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

Comparative Analysis of ASR Methods for Speech Deepfake Detection ASVspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 20

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raw_fallback, observed 2026-08-12T12:17:10.035604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.953078Z digest=sha256:f3e8d5b3e7be88b23f45f7654fa2bc04471f624bc005a702cc94d014d14319a3

Observation 3c6e8870-7763-4907-bc00-a63928660741 · outbound

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

Comparative Analysis of ASR Methods for Speech Deepfake Detection ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,

Reference 21

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raw_fallback, observed 2026-08-12T12:17:10.025757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.955901Z digest=sha256:a39204999d6cbec16ee68ddea13ebd6757f216145456656eb37d64ee569a3bcd

Observation 634eb38a-a351-4ebe-ab99-e0554987c369 · outbound

This paper cites Does audio deepfake detection generalize?.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Does audio deepfake detection generalize?

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.016816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.959321Z digest=sha256:bab00662a73f2928ba10c0beda590bb42049b299bd4e26edd4264744092c0030

Observation 55aa3d60-8480-489f-922f-fcf62a9b32ed · outbound

This paper cites TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection,

Reference 23

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unresolved
no resolver link, observed 2026-08-12T12:17:09.962128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:17:09.962128Z digest=sha256:cde252a18b4b7ebd127fae1de1d55d2bf611a0f7f4d1f3e52ebc8c382e91057f

Observation 85a09424-d8ba-48e9-9567-1564e031a133 · outbound

This paper cites The LJSpeech dataset,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection The LJSpeech dataset,

Reference 24

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raw_fallback, observed 2026-08-12T12:17:10.001253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.964848Z digest=sha256:b5db6e64a20c65bbb719f8e355344c0334d94abfb1fd54917d85499c3add5714

Observation f7a4c972-5ca5-437c-a9af-710684c6e373 · outbound

This paper cites FoR: A dataset for synthetic speech detec- tion,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection FoR: A dataset for synthetic speech detec- tion,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:09.992142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:17:09.967953Z digest=sha256:a661456af2ccabc2ad4cab30639bd238cef201589d5a600b9df89b2edb864210

Pith citing papers

No inbound Pith citation observations are available.