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Paper Citation Record · LEDGER

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection

As of 18 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2608.09593.

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

pith.paper-citation-record.v1
2608.09593 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:31:01.058934Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

80 of 80 outbound references displayed

  • verified exact1
  • verified fuzzy53
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1da2697-a02c-4038-b713-052a931bfeba · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.735982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.735982Z digest=sha256:c65f8582f96263d5427ba78ab41db923b2742ae3c3a7fb6969bc16cfb3fddf45

Observation 6fdd7dd9-93b7-4baf-a245-8d544ea1a7a0 · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection The DeepFake Detection Challenge (DFDC) Dataset

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.740719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.740719Z digest=sha256:599897b1ca70e5ef56dbb2a5f6b02eafe9c37b80f1da371fe87836b611e00a08

Observation 18f61cbe-d349-4058-8cbf-027bfef890b1 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.349932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.745299Z digest=sha256:361e9317a7112ac2c186016ed0aa5bfd2bf960175c3c77f81a14de72425764bd

Observation 64690104-3068-4fe1-a956-c73c07941c57 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.337185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.749174Z digest=sha256:96e18bd4a7279bd64b75addbe4d3653a52e8cb5c7054b1d7a4f18ce0c28caef5

Observation 90813349-9c57-4a0a-90c9-ecb70281ad3b · outbound

This paper cites FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.753023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.753023Z digest=sha256:c98299f62d1bfe7054b2ce552d9e95e9bae21620ad9653a4b213504b20e5dfa6

Observation 2403e095-a99e-4da9-859e-7ad3def6bd87 · outbound

This paper cites 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA) , pages=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.324564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.756978Z digest=sha256:55d124149028aa54dc8697e05d3843c8bbc188707a14b7270f2c6cb5ecfd43b6

Observation 3d147709-f32a-4a6b-a848-33270b5e9940 · outbound

This paper cites 2024 , isbn =.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2024 , isbn =

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.760337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.760337Z digest=sha256:983f80bffc4b9c5d02ec31bc7695e2d0123ee3c3cdd71422f7db16bb9434e4b3

Observation 56aaa945-fc35-4656-ad73-5197fceac14b · outbound

This paper cites Computer Speech & Language , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Computer Speech & Language , volume=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.763580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.763580Z digest=sha256:2a364e0ce9993a7a02909123d2dba4208a5185ce566e483e6dadd8562d8fa661

Observation 0ae87d91-7c7f-455e-a2be-0e95df44bc1f · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.767160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.767160Z digest=sha256:5e4752dfdafc8ca1b94b7b1f706601f742b695b8bb88b5ef345d1659215fd4d7

Observation 17aae820-c3a3-4259-bb70-d888c2fe3485 · outbound

This paper cites ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.770648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.770648Z digest=sha256:64061caac98b772d702da964294310abfd8b4a3e78709d964c902d93bb27152c

Observation 514eb979-6189-4080-86d6-0190cb5662e8 · outbound

This paper cites ICASSP 2022-2022 IEEE international conference on acoustics, speech and signal processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2022-2022 IEEE international conference on acoustics, speech and signal processing (ICASSP) , pages=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.774156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.774156Z digest=sha256:229af54a93e8b6e5192c54c641972b84f6356bb63dbf9e08bff943828e0e1e41

Observation 13696b7d-c9bf-4d02-96d6-942bb0b8fe62 · outbound

This paper cites WaveFake: A Data Set to Facilitate Audio Deepfake Detection.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection WaveFake: A Data Set to Facilitate Audio Deepfake Detection

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.778198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.778198Z digest=sha256:f94489ea94854dc99dbdb06d62f8139ac170cadef91c2363e711b953b9850445

Observation 17aa2b48-8173-47ea-969f-c2271dd0cc3f · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.287854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.781982Z digest=sha256:b63a9fd0823c2ae843336f24154538304a7e9bb88c8a9c95acd63fb1df817423

Observation 561c049e-96ad-480d-9eca-3549fced96a6 · outbound

This paper cites AudioGen: Textually Guided Audio Generation.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection AudioGen: Textually Guided Audio Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.785155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.785155Z digest=sha256:adf14931ae56df951b2f353e7393a4bbf503ce24626b30190afc0daf240ceba9

Observation 12f5a2b2-a70d-41d7-93af-cf9ad3508f90 · outbound

This paper cites , title =.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection , title =

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.274457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.788981Z digest=sha256:f6675a4f96e1f35818b35e548cb6e6a6d1f34cb809506810117598e2e826741d

Observation c886858a-47f6-4629-a684-6877cfa36fbd · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.792519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.792519Z digest=sha256:0c3e6134d11c1d9fef80f42dc62b8616c0a1d9d14d3ad6988cb2c49bb0afff5d

Observation 81038192-3e2f-436b-a1ba-c363d9b87a49 · outbound

This paper cites Proceedings of Interspeech , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of Interspeech , pages=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.256602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.796569Z digest=sha256:a4bce951388cbc05ce776c36380d14027501d4ee2fc89ab1c7f523b0ce217ab6

Observation 0a2ded39-02a7-41ed-a155-321efad41616 · outbound

This paper cites ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.244809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.800235Z digest=sha256:8568a69552ad5a0217e0305571251f1ad374be979e94d768cee5e11d3bc6c681

Observation 251dd8a9-4a59-45e1-8c03-465cdc18fca3 · outbound

This paper cites INTERSPEECH 2026 , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection INTERSPEECH 2026 , year=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.231835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.804321Z digest=sha256:12b8ffd6d397029242078f8d6f27e44bdb857b07ebb7b370b55f8f3465cd786f

Observation 20f9d01f-89ad-4d5e-9440-be0a9e9be8da · outbound

This paper cites 2026 IEEE International Conference on Multimedia and Expo (ICME) , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2026 IEEE International Conference on Multimedia and Expo (ICME) , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.219122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.808603Z digest=sha256:bccdfb1bdf1b9fdb2abd17164988c28b874fa47020592b6543c2bc176ed1e2c4

Observation 87b2f847-3dc1-4b4f-b8be-a5eae3780442 · outbound

This paper cites ICASSP Grand Challenge Evaluation Plan , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP Grand Challenge Evaluation Plan , year=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.207203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.813934Z digest=sha256:223291193c9324abab2ac7d33b76ae7b984b78c1623e471bacaddae69aa83912

Observation 783544e2-1c89-4e84-b380-346fd3decb3d · outbound

This paper cites ICME Grand Challenge Evaluation Plan , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICME Grand Challenge Evaluation Plan , year=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.195190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.817886Z digest=sha256:38065d4f1c93e4c5576595dd7f45e7677996ac9c6f8dd1d2454729ebc934a9e8

Observation 0f456d3a-1629-4e93-9508-c92ebf808190 · outbound

This paper cites A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T14:31:01.447278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.822147Z digest=sha256:e94f3750cd4ed7f4087a92820228f36311dcd23144932ab584842885cba1ad1f

Observation 1aa5d988-e214-48da-a82b-204c4031fecc · outbound

This paper cites Proceedings of Interspeech , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of Interspeech , pages=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.182844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.826549Z digest=sha256:0ac3e7d5b939b27a6dd77d76506347e2f6e1cabe1f91538d66e52c30ecb30245

Observation 9108c2f9-c3c0-4785-b6c5-c6cd8f2b5afb · outbound

This paper cites 2016 24th European signal processing conference (EUSIPCO) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2016 24th European signal processing conference (EUSIPCO) , pages=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.171056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.830856Z digest=sha256:f2fa5bbad07e76ec42d9a424d5ebff837a35074175721374a93f8a2e828a21ef

Observation db55ea79-95bf-4300-9118-c90c07d62946 · outbound

This paper cites ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.834206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.834206Z digest=sha256:05b77cfdc94f6a38d902ba5e5c2991eb049b09c10db6a04ace3a8a019b6a9a6c

Observation 3f58ba92-aa52-4662-b65e-91a7c0fbc011 · outbound

This paper cites 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP) , pages=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.838023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.838023Z digest=sha256:cd10c16133f76bd6a04bd742848e41379f28ef650516d5a1fc3fe2d846cc3994

Observation 30394f21-ed0a-4e3c-a799-c5a5e899bdbb · outbound

This paper cites 2019 , publisher=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2019 , publisher=

Reference 28

Resolution
verified exact
doi, observed 2026-08-11T14:31:01.099091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.841579Z digest=sha256:e3843b1234e7df2fcb546469f3de742c2821db71e6b4ead2f77acfdf1a2da4bc

Observation c33ac3cb-e184-4a36-9476-20d68e8d568b · outbound

This paper cites International conference on machine learning , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection International conference on machine learning , pages=

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.845227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.845227Z digest=sha256:dc8c343601cc08c69262ec3c3d6e16769b704dd7000ba41821d4b48d433ba498

Observation 4f23f63b-f373-4786-bc13-7346fe203edb · outbound

This paper cites ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.848906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.848906Z digest=sha256:5688e408f91bef5008c615bff9a8239ff41e90d4167cf3a7ca40f4f7d18f2b58

Observation c2cad614-cac0-4e7b-9e34-1ffa083df70a · outbound

This paper cites 2023 , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2023 , volume=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.125607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.852452Z digest=sha256:f839eb7ce064711f5418545cb13f6318cc34a1fb98288ae9e8c6e6e94a9cc5c7

Observation 51344037-c096-4c6b-8e19-35173b9fcbd7 · outbound

This paper cites IEEE Journal of Selected Topics in Signal Processing , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection IEEE Journal of Selected Topics in Signal Processing , volume=

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.856125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.856125Z digest=sha256:4e64f8f9950d9e1f33dda326176b6bf1bebfa4993ea069e171350ce6508853a3

Observation 1769326f-1779-4d3f-a589-05ec7d586afb · outbound

This paper cites 2023 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2023 , eprint=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.104574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.860208Z digest=sha256:8fa32f2c62e1021f5bda45a24295f6fc39b7d7673dd71e5cc346c9d974ddd84b

Observation be75a2a7-7d1c-433f-9fc3-d7508910698a · outbound

This paper cites 2018 IEEE international workshop on information forensics and security (WIFS) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2018 IEEE international workshop on information forensics and security (WIFS) , pages=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.093566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.863642Z digest=sha256:ef1d92f706998862575cb5bf2efbfa837a3de17ced0da7814bd07aa2d4197abe

Observation 5a02ff02-afe8-4f95-a331-43bdd0422f03 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.082093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.867266Z digest=sha256:213f5c83b98c4b4f9c33ef07c2ad6ef591d347071b7166156c11b9a3d87c24f0

Observation f12855c1-6059-45b8-91b7-dcbcccd3e0c8 · outbound

This paper cites Proceedings of the 28th ACM international conference on multimedia , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the 28th ACM international conference on multimedia , pages=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.071303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.871114Z digest=sha256:d8ad9e40ad4074a9a99fa46fad5e7dae8a79fb9cfaf922f1df3c9a4906245f54

Observation b0b04500-1ce2-4498-8e0c-ac1bcbb63bfc · outbound

This paper cites Proceedings of the 2023 ACM International Conference on Multimedia Retrieval , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the 2023 ACM International Conference on Multimedia Retrieval , pages=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.060163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.875267Z digest=sha256:7f75ea7a494aabb42d1907102faf9da4d81c0a46401daf299601e34e4ec7c1e9

Observation f1438510-7058-42ca-9641-ea8d3bab8426 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.046515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.879321Z digest=sha256:e5f97ec86becc1dbfafcdf244a290a124cc6ca62d99218799cf5bdd55d41a727

Observation c82200d0-3bb6-4367-8673-c017a44ed73e · outbound

This paper cites ACM Transactions on Multimedia Computing, Communications and Applications , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ACM Transactions on Multimedia Computing, Communications and Applications , volume=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.034256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.883862Z digest=sha256:026488abc9de4896e553e7c16eae6f7b5d32089eeaa6e3c06e5f72c1f4f37e04

Observation 6b027bda-a45a-42ec-aeb3-c262dbf727e9 · outbound

This paper cites ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.019241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.888012Z digest=sha256:bede811768870e27f6f99cfda0950bf98562370e626e00d355dc874fea2e4d3b

Observation 70cd0cd1-7e4a-40fc-a7a2-09f65410f7bb · outbound

This paper cites 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) , pages=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:02.003507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.892329Z digest=sha256:09ce897322f5b262a2ef394b46c78d7d835a7568e51d3af0872870451543d38b

Observation 12268ea4-f24f-494f-b4b8-3e1564e6f7ee · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.990233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.896191Z digest=sha256:f38d9de728b405f3aa9ef51e484b6323b2e22dcc8424a4e42b546d08bd9c2be7

Observation 338fa2b4-4fe4-471d-bcad-f8abcba8383d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Advances in Neural Information Processing Systems , volume=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.977906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.900182Z digest=sha256:156c6d21c02a1c66869ccdf33a7c1b1bf78b55c6bcd6694ca826a2e288ea19c2

Observation 02765560-25a2-4096-aafd-5cd365ba40d5 · outbound

This paper cites IEEE Transactions on Human-Machine Systems , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection IEEE Transactions on Human-Machine Systems , year=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.966124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.904262Z digest=sha256:6908befa766c0418fe324e9986f5975bf344364b1db4abbf3543dd8c972c3f93

Observation 2fafd9c2-5440-4feb-b01f-835c06011127 · outbound

This paper cites ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.953757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.907672Z digest=sha256:fe6630b95673838e7d64d183b91c7222056bef41d791ba4c8f5294c1499a9b80

Observation 89655bfd-c857-44ae-aa63-e7828247656e · outbound

This paper cites AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake , year=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.941353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.911882Z digest=sha256:522a8243f1195dea2940b0019f6cedd7e6f89602811bea9189ce642957b9b0a4

Observation a120d632-a883-4297-8392-1abec29f8182 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.929319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.915860Z digest=sha256:c15c6a3f5ba34f7bde87f130d364a926e6e058d9010e8d4dfdddae7884f0bb2c

Observation 2224bac7-bfd1-4e31-a8eb-f26b27703a62 · outbound

This paper cites AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection , year=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.917155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.919295Z digest=sha256:a85701b695ff9f837a841ce240b09806c132395c2e5e54947b3f6b9712fa8fdf

Observation e4147ad8-f34b-4d20-a285-31d5de53af22 · outbound

This paper cites Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.905298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.924250Z digest=sha256:cf3e40446684366370360328b9905090a31c9323584824d174c18f7fff6a1b58

Observation 0469ebac-7041-4f28-bf3e-558007119f9e · outbound

This paper cites 2025 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2025 , eprint=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.928038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.928038Z digest=sha256:056e5e4b8fa18bbe08487fa3bf3013dd3b2ce63a043ce339334343f87fba9520

Observation d1fe3d1d-6ddb-49a5-9903-3a9d6501f684 · outbound

This paper cites 2026 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2026 , eprint=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.932217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.932217Z digest=sha256:01f127ab40b3af1b27ee38e0167940f400771e5e1a652d744be870118df8ae1c

Observation 78d4f500-1180-41b3-90ce-d00a7a687946 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.877094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.936492Z digest=sha256:d88a986febed2a7e6ba6ff2b789ee1174989ed20852302ed6e6aeef1fb6ae117

Observation 47feda4e-a90a-4fb6-a686-0a66f2bb3b6f · outbound

This paper cites ACM Transactions on Graphics , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ACM Transactions on Graphics , volume=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.867158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.940889Z digest=sha256:feddc4ac6d87d57125c350e59b9c9654c7bcb76c81b18d96b921f88ff19ea33e

Observation cf0c1592-a009-40af-95bb-dc044993d94b · outbound

This paper cites and Rubinstein, Michael , title =.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection and Rubinstein, Michael , title =

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.945383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.945383Z digest=sha256:ecec94d0a87c01a09ce9bc10ac067731920afae5d52771e1211cf4fb63725057

Observation 27729264-f4da-4f88-b626-4010bcbc4e21 · outbound

This paper cites ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.857293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.953615Z digest=sha256:e94300d9a735ce4b6926a72f0eca35c123b2fc407c581b073d8b13b4c2e81d50

Observation c4158688-5dfa-4bf6-bf95-cbd2ab3728f8 · outbound

This paper cites an unresolved cited work.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:00.957540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:00.957540Z digest=sha256:189a080c2a1aa3f242e74e0b4116aceeac15fcc52c7455626ed074d102ac81ca

Observation ce2402f7-1361-4430-a364-46b40bffeb16 · outbound

This paper cites and Zhou, Y.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection and Zhou, Y

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.845288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.962638Z digest=sha256:2fdb9c97aa71603958c520e0568252582d1036e09f8421911d4c5ad21a0a6429

Observation 29420507-0a36-4e07-a739-df3f8938b3d0 · outbound

This paper cites 2024 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2024 , eprint=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.833773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.966726Z digest=sha256:405d876ed3e89c5420d5911585a32686f304aa11ae4ae0e6d55310728d1e39d7

Observation 27f165d5-ee4b-4af8-bdcd-6d9011e36c74 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection The Thirteenth International Conference on Learning Representations , year=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.821546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.970283Z digest=sha256:ef4144c4b8bc23d34c9787b6ad7254541d2b45984f6d682a39fc5a927c1705a3

Observation a253fc15-2c54-467b-8066-70f912fcf8f8 · outbound

This paper cites 2020 , doi=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2020 , doi=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.808705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.973898Z digest=sha256:c0f3afc90cde7a7d536ccbfd291138b9aa6891cb90db51c0af99f1ab54ef036a

Observation 509bde39-3272-499b-9d07-e048cf615038 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection The Fourteenth International Conference on Learning Representations , year=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.793621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.977510Z digest=sha256:8e01f5f797703f13fea9ca37648f7290a8cb3aa3dfd8b3ae019d626640081bc4

Observation ccd3222c-62f9-496b-9036-50353c3ab68f · outbound

This paper cites 2025 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2025 , eprint=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.781717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.981215Z digest=sha256:c46842193e1c63afdaf04df718f4060297868fe3131412301d2484e67d26f598

Observation 3fddc8a2-f4a7-44e1-8453-fcf808cf17f5 · outbound

This paper cites 2024 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2024 , eprint=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.770232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.984830Z digest=sha256:d401f6dfb313b67f1140c6f06abd3d94d01ce23f07184aa80c3ea1c1843c2dd9

Observation 2c17e74b-5818-4657-9056-428541dc5931 · outbound

This paper cites 2024 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2024 , eprint=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.758935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.988653Z digest=sha256:a0c12bf089de64a80c4f301d1704fe40ddc98c79c74315a6f0affb3948aa7ab5

Observation 2d61a8fd-dd5f-432d-8425-3ca6fcc8c40c · outbound

This paper cites 2025 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2025 , eprint=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.746610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.992615Z digest=sha256:c00fb013411707e6dacf3ceff2cf48bfaeecf8c446460da0f809b743bde856f7

Observation 9b89aad0-e4f4-4eef-920d-9733ccc4a104 · outbound

This paper cites Computer Vision and Image Understanding , volume=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Computer Vision and Image Understanding , volume=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.735939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:00.996532Z digest=sha256:fb9b1e10ec701b586fb3f174086c44532f30472b90f133c2261577d8d63e02d6

Observation eeb72b8d-d22a-42b2-9002-94f2a09062c5 · outbound

This paper cites 2025 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2025 , eprint=

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:01.001153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:01.001153Z digest=sha256:b4cc48a2bdb82fdc1db34936418b80a3efa42b44b1c730267bff05fb0828a1d7

Observation 52f14b2b-95bd-499e-b2e6-e09af9e37a68 · outbound

This paper cites 2021 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2021 , eprint=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.716373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.005102Z digest=sha256:020c608b7f275a6221f28edc45a6d95bad4384e467ce81dd85abbb2419869f1b

Observation 74039481-95d2-4b4e-beba-69d03d46611d · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.705142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.008861Z digest=sha256:4facc6627c0595fe9fcc49c03542bd329c4b5963bb7df80315b57b6f654c64ed

Observation f31973ea-e1aa-467a-885f-e0d9311691aa · outbound

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

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ADD 2023: the Second Audio Deepfake Detection Challenge

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:01.012994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:01.012994Z digest=sha256:f1b4055bdb71a620c0cfa7b70ab4b0f1f1110dea9206bc912b830d67a63eea41

Observation fd88a61b-d54b-42cf-9262-ef963362c011 · outbound

This paper cites ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.691341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.018492Z digest=sha256:eb834bd2741eb4301621b8809a5e3a30273d24662ad69d5b7503bee7b5fb1693

Observation 835d2d76-27e2-48f2-9d52-d89010047579 · outbound

This paper cites and Wilson, Kevin and Thorpe, Jeremy and Chinen, Michael and Patton, Brian and Saurous, Rif A.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection and Wilson, Kevin and Thorpe, Jeremy and Chinen, Michael and Patton, Brian and Saurous, Rif A

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.678272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.023295Z digest=sha256:0125a5c3976dee6a67f89b47a93984fe68da1bc447fff908f3a40994b5f290da

Observation e9cfc5c0-ec67-4ced-9c56-9de429cff8cd · outbound

This paper cites ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.666041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.027599Z digest=sha256:36f8c9f1b9633d93365b6c9495655c156a49ab63007a4771968aad10154f3640

Observation c17bb496-2096-4798-a788-7c7ee5852367 · outbound

This paper cites arXiv preprint arXiv:2512.19687 , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection arXiv preprint arXiv:2512.19687 , year=

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:01.032424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:01.032424Z digest=sha256:3b0cbd5d80b75311e6001e76a25ad22e086519717557c674f94c910281434ebc

Observation 9638767e-1b02-450b-bc6f-2dd8b7803001 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.654048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.036641Z digest=sha256:a6bdeb8dad6e8315d1230b39ffef6f637f2989c58b1ba7fb078c94bbb27c705e

Observation 5a0c026d-6a49-4b40-bee8-7649e165ac1a · outbound

This paper cites arXiv preprint arXiv:2501.15368 , year=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection arXiv preprint arXiv:2501.15368 , year=

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:01.041325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:01.041325Z digest=sha256:ab1ae4bbe7296948703c583a64e9c49b537d080f1682dafe2642b50e2aa681e6

Observation bf9aa9db-553a-4c55-816a-232b5d2f7180 · outbound

This paper cites Gemma 4 Technical Report.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection Gemma 4 Technical Report

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:01.047215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:01.047215Z digest=sha256:445f5fda21215668ab3ad8375d137ca77a6628885b5998540ac2f52969b18007

Observation 0a4f8b76-2526-43b5-a072-6239cb522f7d · outbound

This paper cites 2024 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2024 , eprint=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.641844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.051780Z digest=sha256:a8a64ae4d6553c5a7e194eed188fa30fc59c285013bcbb041895f4ee5afb926e

Observation 9416d375-af2d-4fe0-b34f-eb9bb677accc · outbound

This paper cites 2026 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2026 , eprint=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.628661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.055678Z digest=sha256:aa681ef20a54d76ff12cad7cf2553d9a9eea0279dd2cea4465eb1b6b72bce598

Observation c36d2d82-1a8a-4401-be25-949b2e371af7 · outbound

This paper cites 2026 , eprint=.

MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection 2026 , eprint=

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:31:01.613023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T14:31:01.058934Z digest=sha256:8470d77d5bfd3eba495563ffda6c6d9417db6e84319c95769041867c500c866e

Pith citing papers

No inbound Pith citation observations are available.