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Paper Citation Record · LEDGER

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2408.08739.

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

pith.paper-citation-record.v1
2408.08739 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:44:55.393688Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:49:38.746872Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa6685b2-9fc0-4c95-bcd8-b897c31195d5 · inbound

EchoFake: A Replay-Aware Dataset for Practical Speech Deepfake Detection cites this paper.

EchoFake: A Replay-Aware Dataset for Practical Speech Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:02:23.366609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T05:01:57.044869Z digest=sha256:b4184ced7c48f187ce8a3fcd8507a0a0ee0455a99b937373313cbe5bc2ae1e21

Observation b20db734-c78e-42cd-a96e-6a5dcb8d0b4e · inbound

Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis cites this paper.

Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:55:37.864928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T12:55:19.270661Z digest=sha256:c130afbacf8a336ca86292a49dbefd5d833118096ce5cc967e8dd296b8e6a6da

Observation 16f2657e-04ea-4375-a4ed-2f14826967bc · inbound

AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plan cites this paper.

AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plan ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:21:00.661118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:40:10.657590Z digest=sha256:83e55b129beaa18cc6e90a0ffce63e69a8650d0e1b7b3ae74fb920516b952632

Observation bf630327-c7e9-4765-9adb-7790f3137f51 · inbound

ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks cites this paper.

ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.555145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T13:31:12.802897Z digest=sha256:12829bf2916a05914b19273d271244df02e883da951c11ae35ae819bd46d81be

Observation fb0edf38-333d-449c-b5df-0c5c4133343b · inbound

Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages cites this paper.

Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 146

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:34:47.296863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T00:34:30.978387Z digest=sha256:a2a7115d5f5856333e873a68ce17c7c3951ec8feba69d20661a19dde867df9ee

Observation aa430382-204a-426d-b3c3-a247a26503d3 · inbound

Alethia: A Foundational Encoder for Voice Deepfakes cites this paper.

Alethia: A Foundational Encoder for Voice Deepfakes ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:41:35.345209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T19:27:59.124425Z digest=sha256:2faf09247ede05f45e84173da9c508d90645f8c3df79e3119ab09e8020958d64

Observation 6ddcfcb4-a75f-4093-8907-b6c96e5471c4 · inbound

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias cites this paper.

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:51:18.031739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T02:47:39.356612Z digest=sha256:bb0a136c590efcdc81967ad5a08be3daeac021de94204bc63281bc86b3446141

Observation 31814ec6-c8f1-46e4-a5e3-dfe0de104973 · inbound

MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio cites this paper.

MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:15:17.054837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T03:14:08.880072Z digest=sha256:ab0c60b2ef9761461214e9b8726fcc405ee75a7648145bca76def82c931a7555

Observation 2cb68cef-ecd0-49ce-8843-e4c01b1f8f64 · inbound

I Hear, Therefore I Trust: A Socio-Technical Investigation of Humans as Synthetic Speech Detectors cites this paper.

I Hear, Therefore I Trust: A Socio-Technical Investigation of Humans as Synthetic Speech Detectors ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:23:18.256011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T10:16:40.673427Z digest=sha256:e4099f2540e1c06df4d57a73e3334a47f917b9af23d9696e57a6b249b6cfa53b

Observation d6577110-dab3-4975-896f-2312fa6a23be · inbound

FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors cites this paper.

FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T10:36:52.212135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T05:00:13.370099Z digest=sha256:13de0d96134ca133eb7914d54d3b32bc1f93b272bba2ce369ba6b03290390874

Observation 9847a52b-920e-40f5-a295-971ed6df9d13 · inbound

Bridging the Age Gap: Towards Detecting Neural Audio Codec Synthesized Elderly Speech Deepfake cites this paper.

Bridging the Age Gap: Towards Detecting Neural Audio Codec Synthesized Elderly Speech Deepfake ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:49:38.748690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T12:51:14.919171Z digest=sha256:9ce8c5817f30e63ea447c9980f11bb87cb8b668c1bddbc4ef7b52923ecb97164

Observation a73b7e00-84d4-4964-b82a-6b070139eec3 · inbound

Probing-Guided Layer Selection from Self-Supervised Speech Models for Generalizable Audio Deepfake Detection cites this paper.

Probing-Guided Layer Selection from Self-Supervised Speech Models for Generalizable Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:55:44.286690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T01:35:54.550781Z digest=sha256:d8d4f14b7f5fbe22403624e43e72f1cdca7db5f936075a52cfa493b8c0b4a934

Observation a2e3d9e3-a7ba-4a0b-8ca8-e274880bcdc4 · inbound

Open-Set Source Tracing as Compositional Factors via Structured Prototypes cites this paper.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T04:39:19.585879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:ed584af8b213c582664deb0edac41733f091cf9ebd4661b6496b2e12ab61b6a1

Observation 088e346e-6269-4052-9198-c874a5b416cb · inbound

An Intervention-Based Framework for Shortcut Diagnosis in Spoofing Countermeasures cites this paper.

An Intervention-Based Framework for Shortcut Diagnosis in Spoofing Countermeasures ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T04:31:11.771594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:31:11.771594Z digest=sha256:6d200efabd0f95cbdd910b07ba6d43c992ba3736737b2170d36ab628f80435fb

Observation e1faa814-c3c4-4601-9a0b-25d7e0f3e3ba · inbound

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection cites this paper.

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T14:47:58.592181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:47:58.592181Z digest=sha256:6b439e39b7adfb2166cd05e6aeaf06d66e9847b4298a766390c503bb1c12896b

Observation 81ba8b51-44b1-47a4-8e04-0c19f9265583 · inbound

Large Audio Language Models for Spoofing-Aware Speaker Verification cites this paper.

Large Audio Language Models for Spoofing-Aware Speaker Verification ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T01:12:30.268649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:12:30.268649Z digest=sha256:1180383c94493a594ebc64414752675722cf0b5f0015916823685a1b48b986fa

Observation 36297aa2-ee53-45c5-8c8a-808525cd3d3c · inbound

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection cites this paper.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T06:08:27.367744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:08:27.367744Z digest=sha256:d98fc6f20b9a2f070c8df727d06046611c8ba6fb42b5df3af19332aa517a8cf3

Observation 2f7e4acd-b1d3-4ff7-a166-eecc6e145934 · 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 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:cc739256b73805de7dd58e42f7f1861024ed8d5bac9ea917d2ea4cebe57069f2

Observation 74f90f8d-e19a-4b67-8dc4-e35f122c4be5 · inbound

Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection cites this paper.

Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T15:10:12.454574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:10:12.454574Z digest=sha256:fdde78e73c55762b3af74d6bafac614d5956e2f67d638ab9207c08559d64b134

Observation f81f3ca2-d58a-4ad8-a18f-0b92b2772513 · inbound

Multi-Backbone Self-Supervised Ensembles for Audio Deepfake Detection and a Cross-Track Analysis of Generation-Detection Asymmetry cites this paper.

Multi-Backbone Self-Supervised Ensembles for Audio Deepfake Detection and a Cross-Track Analysis of Generation-Detection Asymmetry ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T20:44:55.393688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:44:55.393688Z digest=sha256:f7aa867cfac999842b68137c7fd1f4d1df60b67fd06b4b6d0d2cfb0502b64ae6