Paper Citation Record · LEDGER

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.20417.

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

pith.paper-citation-record.v1
2507.20417 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:38:07.664244Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

43 of 43 outbound references displayed

verified exact3
verified fuzzy26
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 086d15b3-1154-4b59-aa0b-80d8636f5d06 · outbound

This paper cites A comprehensive survey with critical analysis for deepfake speech detection,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection A comprehensive survey with critical analysis for deepfake speech detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.388169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b84135f2-34e8-4c2b-be45-8a5213fa4881 · outbound

This paper cites Boosting large language model for speech synthesis: An empirical study,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Boosting large language model for speech synthesis: An empirical study,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.364829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4b63a73-ba88-4391-a3b5-951028839354 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:04.555891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1acd1621-7dc7-4551-98bd-a3d9d860c72e · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:04.799140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e921b016-431a-4a22-8558-0af3db1f7e0c · outbound

This paper cites Deepfake audio is a political nightmare,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Deepfake audio is a political nightmare,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.344402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b92b82be-2eeb-4a1b-92cf-99bd952756ca · outbound

This paper cites Beware the artificial impostor: A mcafee cybersecurity artificial intelligence report 2023,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Beware the artificial impostor: A mcafee cybersecurity artificial intelligence report 2023,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.299568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e62ea8cf-2016-4ad7-b6ec-7a64bb39b1b2 · outbound

This paper cites Ur channel-robust syn- thetic speech detection system for asvspoof 2021,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Ur channel-robust syn- thetic speech detection system for asvspoof 2021,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:05.404400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c614b1e8-da7a-4edb-80d3-fc43ef6a999a · outbound

This paper cites The biometric vox system for the asvspoof 2021 challenge,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection The biometric vox system for the asvspoof 2021 challenge,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.273554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e69152b-a136-4772-bb91-b209f3600da5 · outbound

This paper cites Known-unknown data augmentation strategies for detection of logical access, physical access and speech deepfake attacks: Asvspoof 2021,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Known-unknown data augmentation strategies for detection of logical access, physical access and speech deepfake attacks: Asvspoof 2021,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.230423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e95b230c-ada7-4866-bcac-87a0b3192bc4 · outbound

This paper cites Stc antispoofing systems for the asvspoof2021 challenge,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Stc antispoofing systems for the asvspoof2021 challenge,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.189076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b51cb1d-c5fb-4547-ad31-a3662f4dd997 · outbound

This paper cites Does audio deepfake detection generalize?.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Does audio deepfake detection generalize?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:06.282549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4fc27ca-89ee-4cd3-ada2-d1cbde1a1ade · outbound

This paper cites A subnetwork approach for spoofing aware speaker verification.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection A subnetwork approach for spoofing aware speaker verification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.163374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe51722b-69a9-4c5d-a6bf-779cc6564c49 · outbound

This paper cites Pindrop labs’ submission to the asvspoof 2021 challenge,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Pindrop labs’ submission to the asvspoof 2021 challenge,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.138156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8596d2f4-e5f1-4b93-b974-c3075132dca9 · outbound

This paper cites Multi-perspective Information Fusion Res2Net with RandomSpecmix for Fake Speech Detection.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Multi-perspective Information Fusion Res2Net with RandomSpecmix for Fake Speech Detection

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:38:08.306853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf211e04-58a5-4682-8351-d5ab73d1f935 · outbound

This paper cites A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:06.969803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05806b31-c943-46f5-ba6f-f9e1207e33ae · outbound

This paper cites Multi-scale permutation entropy for audio deepfake detection,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Multi-scale permutation entropy for audio deepfake detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.117422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 894cf0b2-270f-493e-bf18-f484c7a5b185 · outbound

This paper cites Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.288465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cce6773-ad62-4f04-a943-9edf0e44b560 · outbound

This paper cites Aasist: Audio anti-spoofing using integrated spectro- temporal graph attention networks,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Aasist: Audio anti-spoofing using integrated spectro- temporal graph attention networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.094616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da78c7bc-2d5c-4028-9c13-619be8d289e1 · outbound

This paper cites Learning a self-supervised domain-invariant feature representation for generalized audio deepfake detection,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Learning a self-supervised domain-invariant feature representation for generalized audio deepfake detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.062080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b29d4da-c76d-4d65-ab9f-b0a2e7fb4f88 · outbound

This paper cites Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.043581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91a3e991-e27b-4aa9-9afc-e83c5e11d023 · outbound

This paper cites A robust audio deepfake detection system via multi-view feature,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection A robust audio deepfake detection system via multi-view feature,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:09.013374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1daef9aa-786b-485b-bc07-94e7e4dbea71 · outbound

This paper cites Harder or Different? Understanding Generalization of Audio Deepfake Detection.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Harder or Different? Understanding Generalization of Audio Deepfake Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.549412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6268f9-8553-418b-aa2a-242365121455 · outbound

This paper cites Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:38:08.213805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 37d7e988-cf34-4f70-ad6b-184e7e66109c · outbound

This paper cites Fine-tune pre-trained models with multi-level feature fusion for speaker verification,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Fine-tune pre-trained models with multi-level feature fusion for speaker verification,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.981882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 107fb94b-344a-4e7e-bb3f-2b7c221736ed · outbound

This paper cites Wave-spectrogram cross-modal aggregation for audio deepfake detection,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Wave-spectrogram cross-modal aggregation for audio deepfake detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.961585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2cd51ad5-3014-4f6c-8d6d-995fbbe3bdf7 · outbound

This paper cites Audio deepfake detection: What has been achieved and what lies ahead,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Audio deepfake detection: What has been achieved and what lies ahead,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.938714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77651e03-d715-409e-bb80-b8ae05b2dddf · outbound

This paper cites Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.572963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef728ba4-672e-4f24-8429-0e1b6de0d2c8 · outbound

This paper cites Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.913918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc17621e-2339-467e-9e13-c27c1c168088 · outbound

This paper cites Asvspoof 2021: accelerating progress in spoofed and deepfake speech detection,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Asvspoof 2021: accelerating progress in spoofed and deepfake speech detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.887894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce6c6bf8-12d5-4b2a-b8cd-1d1d92abf05f · outbound

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

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.589387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8fa3d7-a5ea-4fc7-a53e-6a36bfc2c7e7 · outbound

This paper cites Adam: A method for stochastic optimization,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Adam: A method for stochastic optimization,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.594737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 081b8180-686e-42a4-82d3-ac0acb7670b9 · outbound

This paper cites Generalizable speech deepfake detection via meta-learned LoRA.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Generalizable speech deepfake detection via meta-learned LoRA

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:38:08.105198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f2e6426-85c2-4254-be69-37cd676508c9 · outbound

This paper cites Constant q cepstral coefficients: A spoofing countermeasure for automatic speaker verification,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Constant q cepstral coefficients: A spoofing countermeasure for automatic speaker verification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.852212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation abc846c9-5963-4ae3-936b-f3acb72ccde8 · outbound

This paper cites Anti-spoofing ensembling model: Dynamic weight allocation in ensemble models for improved voice biometrics security,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Anti-spoofing ensembling model: Dynamic weight allocation in ensemble models for improved voice biometrics security,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.834007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 419e7594-2244-411f-a918-1f14a8b1f215 · outbound

This paper cites Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.623424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219770b1-ddcc-4b03-a4cb-370d15bc8f21 · outbound

This paper cites Spoofed speech detection with a focus on speaker embedding,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Spoofed speech detection with a focus on speaker embedding,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.810285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4eb87f3-1b4c-424c-8cf1-f414e61c3b37 · outbound

This paper cites Slim: Style-linguistics mismatch model for generalized audio deepfake detection,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Slim: Style-linguistics mismatch model for generalized audio deepfake detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.789318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 442ea67b-2e17-405a-97d2-355cb0ffd68e · outbound

This paper cites Mixture of experts fusion for fake audio detection using frozen wav2vec 2.0,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Mixture of experts fusion for fake audio detection using frozen wav2vec 2.0,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.768294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ef719b6-c518-42c7-973b-52d2a786f017 · outbound

This paper cites Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.648833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4819e8fa-7aba-40fc-9b17-44f9698a272a · outbound

This paper cites Nes2net: A lightweight nested architecture for foundation model driven speech anti-spoofing,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Nes2net: A lightweight nested architecture for foundation model driven speech anti-spoofing,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.653681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8797b51a-e224-43b4-b910-34cd39a4175b · outbound

This paper cites Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.749271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0d91cd0-c28d-42ac-a7f4-d7923f0e14ec · outbound

This paper cites Opensmile: the munich versatile and fast open-source audio feature extractor,.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Opensmile: the munich versatile and fast open-source audio feature extractor,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:38:08.730932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 985ed483-c526-4d45-afc0-8d683c54ed40 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection Adam: A Method for Stochastic Optimization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:07.600339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.