Pith. sign in

Paper Citation Record · LEDGER

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare

As of 29 July 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2604.17642.

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

pith.paper-citation-record.v1
2604.17642 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T04:52:52.682483Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-28T06:31:03.373048+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

58 of 58 outbound references displayed

  • verified exact16
  • verified fuzzy37
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54f02499-9d54-486f-82f3-69703335f3fa · outbound

This paper cites Aho and Jeffrey D.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Aho and Jeffrey D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.363797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:0b548e8fbfb760114f33af092aedf475bd4c63f913e96794e3add674e7e5d6b8

Observation 405db883-c6e0-4341-805b-4b8406e06d7f · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.370655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:a3aea97cbf4b03151841e43d21153490f5284e79b05a82bf3c7e80831c8adfc0

Observation 9f6a7b5a-15c7-41e5-bed3-1a4c982d7257 · outbound

This paper cites Chandra and Dexter C.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Chandra and Dexter C

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:55:34.646191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:e8c8a07973caa3bcc637a4d6f0cb280920883004a7770bb297e77a8ffe78b2d7

Observation 7267aa85-3711-4e26-b69d-2ab91ff946fa · outbound

This paper cites Scalable training of.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Scalable training of

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.367548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:8cbe1f10930713ad07100d18034861c8a06d1f20aa2a7f17698732d554f62421

Observation 675401dc-d32a-46ef-a7f2-9fe164d98342 · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.373541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d62b8555a5e17de155eebff04c0de1ed05d5c2472f4aa29dcde6b1a759e8df21

Observation 28894f56-97f4-4cd9-b8a7-5c1bf995efca · outbound

This paper cites Tetreault , title =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Tetreault , title =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.310922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:6559d8981fc4a81de6b6a526e31f93d20fa056581a7b0e492aa788389ea7ed43

Observation ef598bee-0d01-4c4c-9e1d-91c4c99fcd63 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.269474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:76361a2cd07b7c2e91742549751191c512486391939d50f5d2d6d0301993e687

Observation 7d19fed9-1b77-4cb7-b295-3ca33d5f6803 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Transactions on Machine Learning Research , issn=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.281307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:1034ef182cc4810a2c9350f9cd9ce78ee7b460c1446acc80b04f803681bfabc9

Observation 1f50b558-1e8a-46be-b164-e443e0b01bf6 · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.308030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:4ace6b6824c638a1d6b399946937abcd6afb7ca7096d72724563fa4bb8801f47

Observation 4f59511b-ff66-41c3-bcf7-3e1e808418a3 · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare IEEE/ACM Transactions on Audio, Speech, and Language Processing , volume=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.351776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:2a9f72cb795ad177af1744ccbc49cd43eb086106e000a3960af6a0b8942b9097

Observation d3102426-c3e6-4205-b253-fd72a2fe8210 · outbound

This paper cites Towards Neural Audio Codec Source Parsing.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Towards Neural Audio Codec Source Parsing

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:09.908076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f882f6103470065734fe489b5b1989f81625e7dc0f91ef712e5a2941933504dd

Observation 7c33208a-0a6c-460d-8757-9a7953c66a7f · outbound

This paper cites Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation , year=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation , year=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.299521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:1df6d0fff597963a13ffc58169f97cf75d75734aebdf7e38c02469974a082541

Observation c6650d4f-24fd-4f88-bcf4-58edc59db353 · outbound

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

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

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.336351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:4378957d1edbd2f7b43465263f6d9b83a49dfd6bb9e2e3af52a4d8e012bb2874

Observation 87a8ef7f-288f-4715-94a6-63f7e9e3c6a9 · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare The Twelfth International Conference on Learning Representations , year=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.319862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:095bfd45ee21dfde502b5ab9a6a813dc6eabbf7489ea09c1498afb53c10f7da2

Observation cc67b0f1-bc7e-4a2f-b195-c51527359bfb · outbound

This paper cites High Fidelity Neural Audio Compression.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare High Fidelity Neural Audio Compression

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:49:52.306785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:c482936a967ce43a05f4bd0599626ca2db7aaf2b7b273024bdf77ed50f0957df

Observation 1c731213-2897-4c52-b18f-7054dfd40c5e · outbound

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

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

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.272365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:7a93d8a686dcdce1a3e35ec7a381ad250472dbffad858279f8761375d3bab924

Observation 4b1c2122-b3d2-4720-8308-85a6cee47f9e · outbound

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

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

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.339288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d1f7e46de5c3599b7402bcf8811561fb9cef605f47dc996fe890051ef7a80584

Observation 1e094339-d88a-4f31-afcc-4a4091ef7ced · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare The Twelfth International Conference on Learning Representations , year=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.316337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:fb563b5f6d841f04db500f668df1dc9aa0d166e4179c9143eac786ac65055dd1

Observation b45d7f29-5736-4fff-912e-d597c95b7c5e · outbound

This paper cites 2024 , booktitle =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2024 , booktitle =

Reference 19

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.650000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:762948b24681b3a98767c982a6d5b3ed523c395388c821fc6b2fdb69ef00b71b

Observation c85e5897-6efd-4d00-8592-7eada69c605d · outbound

This paper cites 2024 , booktitle =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2024 , booktitle =

Reference 20

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.655018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:ea1b8054189925c44f74d054d1f0cb0b03094582f99b94a0ab9a3a7d0f632270

Observation 1ef9f85f-0d81-499c-a1fb-33a698648470 · outbound

This paper cites IEEE Transactions on Audio, Speech and Language Processing , year=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare IEEE Transactions on Audio, Speech and Language Processing , year=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.330846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:c85744e51183101ec88036a594348d472d67fe2974c4f30a01a618280860cd7f

Observation 1ffcbd3f-449e-49e0-b900-f4c854354782 · outbound

This paper cites CodecFake+: Codec-Based Resynthesized Data as a Proxy for Detecting CodecFake Speech.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare CodecFake+: Codec-Based Resynthesized Data as a Proxy for Detecting CodecFake Speech

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-09T02:05:18.403807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:5ab3542aa793c0fc2005a44bac74df4a8e645607bf83c1753f6d5916c3ca48f4

Observation d84ad319-759b-4bb8-a176-388a2154fbee · outbound

This paper cites Towards Generalized Source Tracing for Codec-Based Deepfake Speech.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Towards Generalized Source Tracing for Codec-Based Deepfake Speech

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:10:09.897684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:e46668309bfb65b957643cb58b952ff0db9ad3cccc04c82ed1698ca84d07cf45

Observation 74b8b53f-6253-4223-b4bd-d8d7259b13b5 · outbound

This paper cites 2025 , eprint=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2025 , eprint=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.291351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d99b81f6a17be58b52146926e1d0191359760fd6f98d3a2a9957c8ef540538eb

Observation 0006792f-2f95-40b1-8cb0-3693279c434e · outbound

This paper cites 2022 , url =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2022 , url =

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.313465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:dc65453358370aa2dfaa9be77e5b491a26eeb19a01f593104a2d82da9904f2bd

Observation 48ab0a8d-8231-466d-a4da-a190d88ce3e3 · outbound

This paper cites High Fidelity Neural Audio Compression , journal =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare High Fidelity Neural Audio Compression , journal =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.333438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:0e93d8c728ce58abdcb680bdae57908e40c42f235a8eaffffcc096bda26be927

Observation c40030d7-ae45-4972-96ab-5de2650e6e2f · outbound

This paper cites AudioLM.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare AudioLM

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.293869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:09131305f8b9c5b244299bcec01d1303b10eeaa31379847946afee6125289510

Observation 552995ea-fa77-41f4-b354-19c409409ec1 · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:31:07.171839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:1ac625505cb5fb02bce341e9c906bcc88036c8eb2ccb9dc771ebc9c6d818c894

Observation 44f01815-8bd7-44cf-a258-1c7a2d7e9c4a · outbound

This paper cites 2024 , booktitle =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2024 , booktitle =

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.328113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:7c9d38e1fcb36728876f5be939bdb2e8b0bd86658fea0f10520a801f21aa9d59

Observation ca7650f9-9cac-4cb5-813d-480cb6c54d8d · outbound

This paper cites 2021 , booktitle =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2021 , booktitle =

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.323061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f80e731ec771dc1177b47dbb0575903a37065442879a3f6602e6f625d0aff8c2

Observation 8e2b5e5d-d1e8-4755-945c-e795885ae949 · outbound

This paper cites doi:10.21437/Interspeech.2025-1442 , issn =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare doi:10.21437/Interspeech.2025-1442 , issn =

Reference 31

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.631410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:c151cbbe59de313a2908781145acc625f6153cd47752720054a254c0eb41fbce

Observation db987f6f-1459-4b5d-b450-6beb262ee77b · outbound

This paper cites What You Read Isn ' t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare What You Read Isn ' t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection

Reference 32

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.639565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f4e3b5c39ece16f467b9497728d352b17bffe4a2e4f15d0f6bbce65c240c8a8c

Observation 77da5974-e753-433d-841f-904077ca2808 · outbound

This paper cites The Distress Analysis Interview Corpus of human and computer interviews.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare The Distress Analysis Interview Corpus of human and computer interviews

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.286614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:de13baffa022f968398c65fea9a4fe80a4de2e4e317797a5d88f79ceda68a00a

Observation 05c9b860-e076-4e9a-9089-d6594c7096fb · outbound

This paper cites Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model , year=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model , year=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.357683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:5b3ca602a56cef7977129716cf9da49e157987f842a733f1a66a7f4ff8cb0b48

Observation 21c29f1e-6ef1-4993-9f43-1535eeb54c38 · outbound

This paper cites 2021 , booktitle =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2021 , booktitle =

Reference 35

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.643616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:03b1b5b50899f8debf54db468d8319faf9dd20ab897bcd2815ba976e7f6425fb

Observation a7683a98-cc55-4466-9575-5321020a823a · outbound

This paper cites doi:10.21437/Interspeech.2024-1597 , issn =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare doi:10.21437/Interspeech.2024-1597 , issn =

Reference 36

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.641907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:661d1a5d8f7e72ca071a1765f183012cd271909a7621ea428873e32e0a8db82a

Observation ece87a43-2d51-4772-b774-4baa2d9b1dd2 · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 37

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.637634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d3fd8a6d5a4b45a045ce0670fe0d533152e2fed42148025337251aac127dcbf2

Observation f2f035dc-4383-4fd6-9585-486d89d0dffc · outbound

This paper cites 2020 , booktitle =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2020 , booktitle =

Reference 38

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.633184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:39b36899aef5bf25410a5482ed051be593f71aa2b4d1599817923d768b69590e

Observation f3179e4d-cf30-4d1b-9e7b-7bafe11eeeb3 · outbound

This paper cites (eds.) Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare (eds.) Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T04:55:34.629694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:ac0dc1d18c8ad09b0411a531587a0f55fe2f7109296e3b078fea1c2311672ad1

Observation b7441627-7005-4e58-a828-020d0e203c24 · outbound

This paper cites IEEE/ACM transactions on audio, speech, and language processing , volume=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare IEEE/ACM transactions on audio, speech, and language processing , volume=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.304846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f7c1f4d1f560ed4702081ffbd1026b0cd778f4e408b97d29df2384d766651464

Observation 8820c385-87bc-41cd-acb9-9d0b31f37601 · outbound

This paper cites 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.354846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:84a1d508a3e9063a02acb06570c83073f08d4c88a9326dd39a94e49298adee86

Observation 2d962e0c-334f-44e6-872c-c9de441ecaa1 · outbound

This paper cites Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:10:09.902322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d178b68ad1b6686aea46b47549238c6be8624455b4a9613a2fbcdc1123d30d20

Observation 0cc66daf-0d6e-4a8a-acbe-a82588272afe · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.296644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f202d64a69c0664d2d28734179b1b70930cff2fae5122d74849cf52443bf5225

Observation 1e7b9f7d-b0a1-41c0-a47e-2344e1bff9f8 · outbound

This paper cites Advances in neural information processing systems , volume=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Advances in neural information processing systems , volume=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.266235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d34371a36825e4a99b0b9d1f13f05f9f7d1d4b988042c6ef4da5ed4cb9068db8

Observation 7ce6e967-51d4-408d-a939-6f24d427da97 · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare IEEE Journal of Selected Topics in Signal Processing , volume=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.283992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:ade838029219ce0adfa2948d68063ff6ab774a8a731d18f3b6290ff62773f50e

Observation cb8beb23-2a5c-4cec-b396-8b9ed6664d3f · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare International conference on machine learning , pages=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.360879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:740b71877dc1440dad6caf910f33f58410890a65d1835dbacf81c5e08376a22b

Observation 339076a7-30f1-4360-a86b-0dce77b21e0e · outbound

This paper cites 2022 , booktitle =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare 2022 , booktitle =

Reference 47

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.653161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:05c6b3e831c0a24706ea5342e0d166d5ac3e09e94890d0fa6da406dd18e537f6

Observation 0e8a1a34-bb26-4952-9c0b-5a81156148fb · outbound

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

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks , year=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.342049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:52992573bed1b8c301eb8cddbdb431197ae40d3e87e4ea4b9d07cf02a36c46e4

Observation 18582300-aa84-4c97-8339-02b33e7fa54d · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 49

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.651568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:25c5dc3eb88d7193ceb1eb97831494f5f13d1ec67f39f3f4c4a27a61e2c5e952

Observation 3c8e9299-7d84-41a7-a5a4-6d45d9515bcd · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.275668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:38895ddcff7406daa48499e3b5c6393c807ffd33c97091ded455dc7b672e7a36

Observation e3563567-6827-40cc-aded-3f16743efa2a · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.301979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f58998f89c96a39045032075891dcc6450d273296d9b4aa5fc5e95ca1d4ff9c0

Observation 25028918-efed-4645-8ec4-c82c2d871ee3 · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.348051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:5b6efaeb38f61517ca9e8188eeb650883b836393f3f7aa415a96fb7d145fa46e

Observation 0b8c970f-e2d0-4160-957b-d0b6c42ce4a3 · outbound

This paper cites an unresolved cited work.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Unresolved cited work

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.278521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:2fddad7f02071de8ef25603fb4232879e155937716edb30fe515ba5ccdf31f91

Observation 43d99786-b326-4ce5-8dac-4be5d7c2bd8b · outbound

This paper cites Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech

Reference 54

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.648164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:c3b8d50454c33715bb9ea0551d5c95aff692bbb5eb71f5369f7ae6f4b7b523b4

Observation 2a436bcb-9c0a-4e9c-b93b-2f4164b45ad4 · outbound

This paper cites Curved Worlds, Clear Boundaries: Generalizing Speech Deepfake Detection using Hyperbolic and Spherical Geometry Spaces.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare Curved Worlds, Clear Boundaries: Generalizing Speech Deepfake Detection using Hyperbolic and Spherical Geometry Spaces

Reference 55

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.657020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:4fe257598e0ebd09ef3c73931a8625b2e97e3c3953be86fc96e22269d343de20

Observation 4b27ff18-8a49-4b9e-a787-9e278620304e · outbound

This paper cites End-to-End anti-spoofing with RawNet2 , year=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare End-to-End anti-spoofing with RawNet2 , year=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.345001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d5205a7d1eaf2ee636d7cef6298abbad437a3428f257df04d2dd1ec4da4a28a8

Observation 72fc8598-73ef-4e2c-9455-8bd9f5e1ce3f · outbound

This paper cites doi:10.21437/Interspeech.2020-1810 , issn =.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare doi:10.21437/Interspeech.2020-1810 , issn =

Reference 57

Resolution
verified exact
doi, observed 2026-05-10T04:55:34.658965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:cc4350ad4347bebd444437298f0c07aa3c5cbb58f856993d130e7592b584487c

Observation 6d09be21-2e09-4b66-92e3-9e500667a096 · outbound

This paper cites SAMO: Speaker Attractor Multi-Center One-Class Learning For Voice Anti-Spoofing , year=.

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare SAMO: Speaker Attractor Multi-Center One-Class Learning For Voice Anti-Spoofing , year=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T01:30:54.325747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:e5eefa8995eb7ffef2645825fb61c135afd09fe100049a1202521fd59b822e1b

Pith citing papers

No inbound Pith citation observations are available.