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Paper Citation Record · LEDGER

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations

As of 5 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2605.09568.

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

pith.paper-citation-record.v1
2605.09568 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:53:18.321056Z

measured 40 of 40 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:12:30.650313Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact10
  • verified fuzzy23
  • unresolved1
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ffdf3af-accf-4ae4-aa0f-1bdf38347063 · outbound

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

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations ASVspoof 2019: A large-scale pub- lic database of synthesized, converted and replayed speech

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.974912Z

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=2026-06-30T22:53:18.321056Z digest=sha256:fc8446e4890cabe7f8234702c23ad1b398230e82c3e5d0cc95c9abee4ead67c0

Observation 70096f6f-be26-49bf-9214-f7b967761044 · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1161–1173 (2021).https://doi.org/10.1109/TASLP.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1161–1173 (2021).https://doi.org/10.1109/TASLP

Reference 2

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malformed identifier
doi_truncated, observed 2026-06-30T22:55:06.369585Z

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=2026-06-30T22:53:18.321056Z digest=sha256:3a3af07a80c5cd7d1c57537b860ef4658e153c69bdbab89e318f1d6161286f9d

Observation 72a909b9-0c8a-4821-9725-02b3fecf1c26 · outbound

This paper cites Masset, R.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Masset, R

Reference 3

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malformed identifier
doi_truncated, observed 2026-06-30T22:55:06.363549Z

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=2026-06-30T22:53:18.321056Z digest=sha256:1fde3b4852c9fb77fa77114cd0efb768d63adeab34d3b891f2f4d8f14e3272db

Observation 95f69c62-eb52-422a-b194-9b88fcaa1480 · outbound

This paper cites Safe: Synthetic audio forensics evalua- tion challenge.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Safe: Synthetic audio forensics evalua- tion challenge

Reference 4

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.973033Z

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=2026-06-30T22:53:18.321056Z digest=sha256:25cc46a053a8053d2404fc76bb040fb62ca3c6ff01e3e6515aa1ca0b0a403957

Observation 08c09305-4ba6-4b62-8562-076451124429 · outbound

This paper cites author Zhou, A.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations author Zhou, A

Reference 5

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metadata mismatch
arxiv_id, observed 2026-06-30T22:55:06.367179Z

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=2026-06-30T22:53:18.321056Z digest=sha256:24cf182912d2c68f29b3edd876af6c3346e35b6c61d09dbf93789e5ad59c39aa

Observation 50592f84-8ac5-40ea-a458-4a33a077af91 · outbound

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

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations ADD 2023: The Second Audio Deepfake Detection Challenge

Reference 6

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.971012Z

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=2026-06-30T22:53:18.321056Z digest=sha256:6700b7bb89e6ed7f6049f6bcd0bedac5ced44657a8e04b24f6467e5ffca6ca10

Observation a6ac0f2f-6d2e-4d68-8a63-edefe0f1a245 · outbound

This paper cites Perturbed Public Voices (P$^{2}$V): A Dataset for Robust Audio Deepfake Detection.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Perturbed Public Voices (P$^{2}$V): A Dataset for Robust Audio Deepfake Detection

Reference 7

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verified exact
arxiv_id, observed 2026-07-01T13:45:45.391591Z

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=2026-06-30T22:53:18.321056Z digest=sha256:c0fa8941258e4238083cd37678eccedfc5ac4f72b1069d59206599953d56379d

Observation 0afa86b5-be43-482e-b38a-bb6b13636fe3 · outbound

This paper cites Room impulse responses help attackers to evade deep fake detection.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Room impulse responses help attackers to evade deep fake detection

Reference 8

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:46.002419Z

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=2026-06-30T22:53:18.321056Z digest=sha256:c6e7a6ef48820a02da306784f1793118ce1a4666d7f770a08b2c4bc3062e1555

Observation 2899d7bd-f158-4a0e-90f9-be909e5f3876 · outbound

This paper cites DeePen: Penetration Testing for Audio Deepfake Detection.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations DeePen: Penetration Testing for Audio Deepfake Detection

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:45:45.394502Z

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=2026-06-30T22:53:18.321056Z digest=sha256:f53eb172508470f47fbfb76e1a68e2e2b38cdd7e44ce9b5861caac8a9a44d84c

Observation e77d84e8-c56d-447c-ad23-2b6fae135675 · outbound

This paper cites Investigating the impact of speech enhancement on audio deep- fake detection in noisy environments.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Investigating the impact of speech enhancement on audio deep- fake detection in noisy environments

Reference 10

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verified exact
arxiv_id, observed 2026-07-01T13:45:45.412420Z

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=2026-06-30T22:53:18.321056Z digest=sha256:2e9969f9437730e976d61e23b53d8f0bccb5ec3cefde7ffe4da7586d116e42d0

Observation 09ff841e-05b5-418c-9bc1-b6d9a2bfb0ba · outbound

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

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Mlaad: The multi-language audio anti-spoofing dataset

Reference 11

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.978687Z

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=2026-06-30T22:53:18.321056Z digest=sha256:51c832abcba3b2cf7c14a7453479736bcaa79ced8893e9e329caf33d70b02f71

Observation 854a3090-076b-4194-8245-902efc671911 · outbound

This paper cites Sea-spoof: Bridging the gap in multilingual audio deepfake detection for south-east asian.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Sea-spoof: Bridging the gap in multilingual audio deepfake detection for south-east asian

Reference 12

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verified exact
arxiv_id, observed 2026-07-01T13:45:45.431868Z

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=2026-06-30T22:53:18.321056Z digest=sha256:ec1ea8a49e4e396e8331622ab4cf12c22d7d4579d96bc19eb9df54ccf7be1a67

Observation 5b85343c-3e84-4e2b-bfc3-b9bed6219ac5 · outbound

This paper cites Llamapartialspoof: An llm-driven fake speech dataset simulating disinformation generation.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Llamapartialspoof: An llm-driven fake speech dataset simulating disinformation generation

Reference 13

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.964747Z

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=2026-06-30T22:53:18.321056Z digest=sha256:f3050442d1c1b32477e47bc9733c4261e64cae4c88423fd0005c3ddc35c1a9fb

Observation 3ef6577b-bd4d-4f0a-964e-8cd082da4113 · outbound

This paper cites LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.998904Z

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=2026-06-30T22:53:18.321056Z digest=sha256:8cb69708ab18a69fba6167351fa63608a38f39fbf90ced17741338096759df7f

Observation 893e2c28-fa4c-41c3-8da4-d2fd8e0eb4b0 · outbound

This paper cites JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech

Reference 15

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.984378Z

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=2026-06-30T22:53:18.321056Z digest=sha256:997d4abc0ca8529381f032e347566b6122f04bf7cddb39ae7ec17b0ccb4c9917

Observation d91a6289-4354-438b-b5bd-8a5ea6afce9c · outbound

This paper cites YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot V oice Conversion for Everyone.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot V oice Conversion for Everyone

Reference 16

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raw_fallback, observed 2026-07-07T12:43:46.008212Z

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=2026-06-30T22:53:18.321056Z digest=sha256:c62bf834aea22d171cd2daca8823033d22c7591ad40251de7624daceea4224f5

Observation 063a070d-9ed9-46b1-8307-f6d2046102be · outbound

This paper cites XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

Reference 17

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.980538Z

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=2026-06-30T22:53:18.321056Z digest=sha256:7b121ffe2bee577c5aa6215cf16f1c722c74450d75d28cf21c75fdc423b13a42

Observation b6faa88c-3461-4983-a409-865807a99b25 · outbound

This paper cites CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Reference 18

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verified exact
local_arxiv, observed 2026-07-01T13:45:45.415328Z

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=2026-06-30T22:53:18.321056Z digest=sha256:6ea8bd388a2498482ee61c489eed53b04816407159e0bfc14f042a8383763afd

Observation 6484b4f7-a37e-4d96-b83e-3217b9171619 · outbound

This paper cites Common voice: A massively- multilingual speech corpus.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Common voice: A massively- multilingual speech corpus

Reference 19

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raw_fallback, observed 2026-07-07T12:43:45.976959Z

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=2026-06-30T22:53:18.321056Z digest=sha256:0913b79e1318f4a9ec41d2d7897fe1c9589eac89f9c9c841b5cbb9b1a31d51e8

Observation 49cb625b-4304-4618-9094-15bb842ea5f8 · outbound

This paper cites The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

Reference 20

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metadata mismatch
arxiv_id, observed 2026-07-01T13:45:45.419554Z

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=2026-06-30T22:53:18.321056Z digest=sha256:f9f3d4aa732da05a34387ec5a521b9ba07f2d7a379f637172b5c1b28ee70e49e

Observation 7a82a6e4-eaa3-4ed0-bee2-197a00c8dc9e · outbound

This paper cites Building the Singapore English National Speech Corpus.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Building the Singapore English National Speech Corpus

Reference 21

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raw_fallback, observed 2026-07-07T12:43:45.996205Z

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=2026-06-30T22:53:18.321056Z digest=sha256:93745903d40532423e1a6862082d1ba139954fde7f55bf8c23230400b959c4c1

Observation bd713c31-97ae-4a6e-881e-798e6a1b2da1 · outbound

This paper cites imagicdatatech.com/index.php/home/dataopensource/ data info/id/101, Accessed: 2019-05.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations imagicdatatech.com/index.php/home/dataopensource/ data info/id/101, Accessed: 2019-05

Reference 22

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raw_fallback, observed 2026-07-07T12:43:45.992168Z

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=2026-06-30T22:53:18.321056Z digest=sha256:cd52d4425d52c7c0f807dac5e54bdd6a3744cc60f88941ab9752f5aa656e1c60

Observation 71afa9bb-7fb1-4542-80f2-6cb4b14b6606 · outbound

This paper cites Formosa speech recognition challenge 2020 and taiwanese across taiwan corpus.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Formosa speech recognition challenge 2020 and taiwanese across taiwan corpus

Reference 23

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:46.004287Z

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=2026-06-30T22:53:18.321056Z digest=sha256:7191ac763db026bb8e5cdcb62ad39966634d5b7a90ada919dcdfc093dc480873

Observation baf1ea94-6389-44de-895b-9938103fe007 · outbound

This paper cites Cpjd corpus: Crowd- sourced parallel speech corpus of japanese dialects.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Cpjd corpus: Crowd- sourced parallel speech corpus of japanese dialects

Reference 24

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.966970Z

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=2026-06-30T22:53:18.321056Z digest=sha256:305bdecba3df70be8d388284c849baddd77a22eff01dcf9e21809ba2cbd2122c

Observation 8e22f179-7866-480a-8108-db96acb779f7 · outbound

This paper cites an unresolved cited work.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-07-07T12:43:45.961614Z

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=2026-06-30T22:53:18.321056Z digest=sha256:a0ba962263e8af923b1e0ca4fce9db6b5d81ac4f6610266b03d9443e4c9d7dd4

Observation 3abbad08-4ba9-4a4e-9123-bcdd4eb0add4 · outbound

This paper cites CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:45:45.408702Z

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=2026-06-30T22:53:18.321056Z digest=sha256:5c3dab15fcd04c100862fe58b8545d4570fae4873897db54cfe387b7cb131c57

Observation ae019aea-00ff-43d8-a5c8-945eb1d7f0ea · outbound

This paper cites Qwen3-TTS Technical Report.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Qwen3-TTS Technical Report

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:45:45.398444Z

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=2026-06-30T22:53:18.321056Z digest=sha256:fa89348709fbacb3c5ea0bec2c8a310e2b5573f344e9d9b258294673cada2da9

Observation 224cfbf6-7a60-4b65-a4d4-f6798f78bb51 · outbound

This paper cites Fish audio s2 technical report.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Fish audio s2 technical report

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:45:45.427224Z

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=2026-06-30T22:53:18.321056Z digest=sha256:b26931e258905d7b693bea8a5ea8b15f4251bab27284e2845b4eddcd3cb92789

Observation f3db8589-ea60-4bb0-9e04-3953cfdfd2ce · outbound

This paper cites Statistics of natural reverberation enable perceptual separation of sound and space.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Statistics of natural reverberation enable perceptual separation of sound and space

Reference 29

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raw_fallback, observed 2026-07-07T12:43:45.994149Z

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=2026-06-30T22:53:18.321056Z digest=sha256:b55d2f95f8c474d639df243c1ac1e0422e2f92228793411bd8a4a87a460735a9

Observation 5bb28e5e-92ea-497c-977f-034f93b35e68 · outbound

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

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations MUSAN: A Music, Speech, and Noise Corpus

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:45:45.404433Z

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=2026-06-30T22:53:18.321056Z digest=sha256:9791164b70d06627b28cccbba2fa6c2a7c607103f6fe61938b4b347f60889144

Observation 8df108fc-0ad2-41bd-9433-0d2be8cc67bc · outbound

This paper cites Fma: A dataset for music analysis.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Fma: A dataset for music analysis

Reference 31

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raw_fallback, observed 2026-07-07T12:43:45.986283Z

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=2026-06-30T22:53:18.321056Z digest=sha256:924ded8b61ff983c9696922f87c888026b9185ee037373114bce2b5e96a80953

Observation 1cf20a5b-2b36-47e1-904a-f2a5c36bb231 · outbound

This paper cites A binaural room im- pulse response database for the evaluation of dereverber- ation algorithms.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations A binaural room im- pulse response database for the evaluation of dereverber- ation algorithms

Reference 32

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raw_fallback, observed 2026-07-07T12:43:45.982265Z

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=2026-06-30T22:53:18.321056Z digest=sha256:c0aa1504e8ac5994f0b35005e5c86c5fb47726bfd96bbb976ab85094a369e334

Observation 163d3f6e-dfc0-4e22-8e01-944b5c9fce89 · outbound

This paper cites Image method for ef- ficiently simulating small-room acoustics.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Image method for ef- ficiently simulating small-room acoustics

Reference 33

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verified fuzzy
raw_fallback, observed 2026-07-07T12:43:46.012011Z

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=2026-06-30T22:53:18.321056Z digest=sha256:dd94be455770009e62700eddb3c6249680c95d70a2f9e6e5d82a39152989ee1e

Observation ff86887c-270a-4a48-bdd2-218d86a8d4a8 · outbound

This paper cites Hierarchical and multimodal learning for hetero- geneous sound classification.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Hierarchical and multimodal learning for hetero- geneous sound classification

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.988150Z

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=2026-06-30T22:53:18.321056Z digest=sha256:f51f0f3bac78069e47a39eec8f98c9731bcffb04aff41039ac11c90058a523c7

Observation 7407ebea-1432-41b2-8bd0-cd7f928135ea · outbound

This paper cites Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.969002Z

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=2026-06-30T22:53:18.321056Z digest=sha256:5db40a4aac6edcc82169362cd69ee1dfe9b4789867d3b880c499db038b3ae3a2

Observation 2ca2a530-6e1d-42ab-aa08-bc6e5640961e · outbound

This paper cites Robust localization of partially fake speech: Metrics and out-of-domain evaluation.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Robust localization of partially fake speech: Metrics and out-of-domain evaluation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:43:46.010067Z

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=2026-06-30T22:53:18.321056Z digest=sha256:36e000c775917b043acd9a22b0b5ded47583f34e2259865710eb467528cfb1d9

Observation 476ddff7-a0a2-4bce-9220-b4e98ad9ac5e · outbound

This paper cites Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-07T02:18:24.167264Z

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=2026-06-30T22:53:18.321056Z digest=sha256:5ddac318bbc244560698aa8a1ae1b40f6ce5c63496f41b2f2a7dc7946428db70

Observation 7531e860-663b-4282-8673-8fef70a9a346 · outbound

This paper cites Replay attacks against audio deepfake detection.

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations Replay attacks against audio deepfake detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:43:45.990191Z

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=2026-06-30T22:53:18.321056Z digest=sha256:08cfb140eb63f8e15109df7403d3987290867232f605de6f1a81df4eb9942d28

Pith citing papers

Observation 2c090d5e-3646-4d49-93de-06f00e767fcb · inbound

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

Large Audio Language Models for Spoofing-Aware Speaker Verification RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T01:12:30.650313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:12:30.650313Z digest=sha256:85c9448a4729b2e34857aebe83bdb739d37d7815f0547ea7259d17398dfd0c93

Observation 5190e3d4-4761-4af4-8027-70f70e6ab105 · inbound

Singlish, Can or Not? Fine-Tuning and Evaluating Zero-Shot TTS for Singapore English cites this paper.

Singlish, Can or Not? Fine-Tuning and Evaluating Zero-Shot TTS for Singapore English RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T03:52:17.199471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:52:17.199471Z digest=sha256:8462d17679c39e6035d1841d17d79942e0816268a27c2cfdffc04e8b5738f837