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Paper Citation Record · LEDGER

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare

As of 11 August 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 2026-08-11T06:34:44.6726+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 fuzzy31
  • unresolved6
  • 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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:95c716b188ddd7057119cc42bbe333dab3521e1c79f1e31dd1a513aa132184a1

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
unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:9a2924a56fe5a313e74b782b2f7c490922accb393db9d06b000aa09e72a3e577

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:6a11d54e75943ad5173f00caeadd70bf6ff6554d3b06e9f120af2ec51b1a4d29

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:46e7ca2da2c52d9841bc3a5b8e445dfe3be8aa62f0d3748deb2eaa250b4ed3a2

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
unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:3da478a2214893c5c3091e251296874541d7790c61de68be3c6d70ea6aeac213

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:52138b9a79a9c5b4b29ba20d6df68cb231e9a7d07e434ece5c97b4adfe3621be

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:402141aeb4e09630b3c690043604372352cb0961a26261b719a66ee4abee5d7b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:752697e7c6213d7c799bea0b67022ed5c636a0cad50fc694f60ac74337cabdd9

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:caf66569e6db40cc97c158378738fb2ea6ddd05f7305aa67dc96aa4ebfb525de

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:4f4c3af4f0b5d7931c0155df8e3b504081b4b4a67e5cc5206806354a7689372a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:6d6f4382f52a5e25254c6dd46dd3de222317478c5a47b9a02538c7e62011cac6

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d81afbfe061bca98ea15594b9855922ce28abf739bbdcf3a0d90b6ad8b35dc1f

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:c3a622b627cfc3d00b7051a99b19ae85a19b1954cf6ef126b8e48424e1bda629

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:2192c5abfa6f8a05b350a97aefc9489f6cbb71b37b71fb3ba59c1451a8e521cc

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:99cc14e68e7fab609e235a54bb7de1a12b3741498dce972207d95a1a7a447993

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:ec94d5c64ad8478ecf059b3cbadef407d199066269c9354a8e226e3bb2ca2368

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:c353bc9739144635ea5d21b92b4776d192fb98074e6d08865a04db3545a5e9a2

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:893866a4c65666e0c25385f0969d3e137b52a097a69f9438de6b38241aec3acd

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:be518c087ffcdee29a96703dda635434c9e365928c29bf65eccfc196a73e4964

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f7d43b09de23faef80d7b6ee15ea0410d27ee0a00690dd496c663842347c69b3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:d4b92997dd2b45bf2b6d40786fd5c44294b9117604893f8ec74f0e4371e9a7db

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:7bd7bb6de823f5203b7ed62a3dbe8721e61b6507a00ef26bfc01d9a66b598092

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:15618d6fd0c687e49ce58d6e98273027e3a3593f088a2a3c8a0b021ea1c28943

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:ab1fbee82676abb8b534a9b79deb3ba030029117b3169ccf643172edb62f9e51

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:35fedf08a508a5e475d78d45eda6a11b037a11436d5feb9bf79f1c57b6651b1d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f78fdbbcb7a613a3d210aad9e271c45008bc3002d6a49285a50ab651c4c378e7

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:367d3626d34e90390853a27f08fea594a8a234643894d38acbf984b78c3e2c36

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:2cc728749cd8ac10d6ae7c0a4dff5fde87a6993455ded09d3f188d69f0354435

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:b1d77cb06b3ad6c9b80d9f6e1e4a02039e6023066cffc7d14d071b093bd2c0f9

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:1256e6c264c82de4a68e436287b6f091c60045e9058348800af33afb66611092

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:ef5990e6f0decb4002f3156e5d758eb337a0b77ac7d44e3def03ada6928badda

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:a38e5ee04b44146d5ebd73c995eecfbf846b4439052f2c5d91fada8b026ce5c5

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:7cef200a7e4fb49d30cced67779ab916a0ecc919b0264f16b2770877e31b4520

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:c981fe0523159c7536f6292e01f4e2ac43391a798755f73549cf4272d2c76979

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:46b9598ccf3bd6b6e7fa2b101604bdc822dd6c186a794f1f2a089f84c6da832a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:6a48991198720882eb99238aefc671bd023804f6198995e6269c5dba3b55e8a3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:9cbf32749aa998d2f6aa8e208f610a046b6c5c4ab2840e6b27d63b51285e9242

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:4dd0ccec1ce8a66d24a3430419860513a8892b6ca6ca02c05111343f5b8c703b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:2768d0a4598150d6236e868745c0ffe153757315fa5fce0de0156e0fa67a37a0

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:ccd1cf55631068cae6d604b981f748b19f0fd677ccf55d3106d5f5f3bbf63ca0

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:6b7f201175373ee3c28aa24fe200415d32b28eb846e2695e2846b996bc1ff17b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:8a3866d01c62edc853ad20dd7f1724464bc021fd0a55d186379710b5e1d3c815

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:f1a053113195faf66e3e940e44a5dae1fb5bd7ac7e8fc7f81cb3abdb38b09dcb

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:6ec30f6b80404f0ff26e46e36cff6ed206cb8ce9df746bcc64b9ded969794780

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:bf7f045c56ef5f9f837e2f8a5f3086f7786ea7d9e1c77470a3fc82759ad6ba2c

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:284d63ef40fe04b59062e72b526cb24e273f19014ca7e40c44a9437031d0619d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:cf358d08b6519a07bf972f6c97ab53a463773bc33b9bd614c7b1a02690c82b48

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:7cb492b9df805c482b4a4c8f6d0bd1940c6966f889c89798e1956e77f49c88fa

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:2550cfa98509e517a61a39715fd993335da512dc32d093f0918914f7f2f2312d

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
unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:a172063f186f14117c72fa6efc757a4a27baa331b453d1c7827ffc14b3019496

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
unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:bbbd838ee1ff1d7c920b251b348a780cc20e0b9395f690f4f6f1d7b39691a8e2

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
unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:84311c3b0487d6e6a6d5105840c9733a008bf11f537144394f3554d4364b059b

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
unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:13c04e07b6de7533197bc564ef0e4b76ea91dd1ca051bddb1e5c7565e3409eff

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:b074dc364519a16dc83862fbd94bf7caa69e6dc199e457dd50cf25194c9eb891

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:5ab3b478320e4347d065d4d81dd7b4e95f3e59afdc0caa5e19a0d40e5bc56999

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:955607ffddf92b26167615378d8060be6206ac9a1e6d14c861d2543047183839

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:b6e37825721a7543e948140bbb5bffe09c85c6d4c1b6a90cc596d0eb1cc63442

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T04:52:52.682483Z digest=sha256:23edd72f4b4c5be74fb5d6681c84c83dbf417ee3cd9d806e1ce92233bad70f36

Pith citing papers

No inbound Pith citation observations are available.