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Paper Citation Record · LEDGER

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2505.13976.

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

pith.paper-citation-record.v1
2505.13976 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:14.739963Z

measured 40 of 40 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:10.791218Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:43:14.952499Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7de2a8c2-9ea3-45f0-83f7-26175a6dc543 · outbound

This paper cites However, the increasing realism of synthetic speech has raised significant societal concerns, such as financial fraud, impersonation attacks, and misinformation dissemination.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection However, the increasing realism of synthetic speech has raised significant societal concerns, such as financial fraud, impersonation attacks, and misinformation dissemination

Reference 1

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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.

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Observation a5da2a72-af78-41ff-95fb-9a3abdf34225 · outbound

This paper cites Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection

Reference 2

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verified exact
local_arxiv, observed 2026-08-07T15:43:15.019675Z

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.

source=pdf_text observed=2026-08-07T15:43:10.791218Z digest=sha256:41fcfc8007232b64ea3339460c443b793dc4675fa885588007971552308b774e

Observation 0fb6057f-8ce2-4df9-b96c-a9c40e7d6764 · outbound

This paper cites an unresolved cited work.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Unresolved cited work

Reference 3

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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.

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Observation 1dee5f66-75c6-4a59-86af-345e706e9f15 · outbound

This paper cites Datasets and metrics In the experiments, all models were trained on the ASVspoof 2019 logical access (LA) dataset [1].

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Datasets and metrics In the experiments, all models were trained on the ASVspoof 2019 logical access (LA) dataset [1]

Reference 4

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raw_fallback, observed 2026-08-07T15:43:20.985721Z

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.

source=pdf_text observed=2026-08-07T15:43:11.037009Z digest=sha256:3ff1c718f71a1fd5d05773771aea53736dfe5a7009fd9a84fef3319a34da6b0b

Observation 7c2b1944-b513-4064-8c07-f2999f0867dc · outbound

This paper cites an unresolved cited work.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Unresolved cited work

Reference 5

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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.

source=pdf_text observed=2026-08-07T15:43:11.291613Z digest=sha256:b48fd30e24da8dcbec29d7ab03df3bde73b7b8b06088d00551b0869b982c86ac

Observation 251bf9a6-606c-4acc-aef1-c9819784efa6 · outbound

This paper cites an unresolved cited work.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Unresolved cited work

Reference 6

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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.

source=pdf_text observed=2026-08-07T15:43:11.484754Z digest=sha256:bece2d0ff135cc2594138158a236e927e31d2204568c548e16cc62d37427d43c

Observation eafe3f6a-3d81-43f1-aff3-a4b103e526c5 · outbound

This paper cites Modified magnitude- phase spectrum information for spoofing detection,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Modified magnitude- phase spectrum information for spoofing detection,

Reference 7

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raw_fallback, observed 2026-08-07T15:43:18.933957Z

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.

source=pdf_text observed=2026-08-07T15:43:12.347598Z digest=sha256:c4f6ac96d0a5b07b8667daa82c8056e20c34b981bb6c861fc2c83c9bdac4b319

Observation db1dc124-97c5-4f66-8458-e9107a3f3489 · outbound

This paper cites Asvspoof 2019: Future horizons in spoofed and fake audio detection,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Asvspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:11.597641Z digest=sha256:293875f2519b7defe1aaf7e987c38bbb7044a23087610e06e065f71519db5015

Observation 21fd6e5a-0ba7-4773-a24b-1d8764406fef · outbound

This paper cites Asvspoof 2021: accelerating progress in spoofed and deep- fake speech detection,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Asvspoof 2021: accelerating progress in spoofed and deep- fake speech detection,

Reference 9

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raw_fallback, observed 2026-08-07T15:43:20.027450Z

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.

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Observation 74389380-be91-42ae-93f8-e8e8918b2ddd · outbound

This paper cites Raw differentiable architecture search for speech deepfake and spoofing detection,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Raw differentiable architecture search for speech deepfake and spoofing detection,

Reference 10

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raw_fallback, observed 2026-08-07T15:43:19.808878Z

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.

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Observation b1ad731f-304f-4359-8c68-8baaa8439bc7 · outbound

This paper cites Re- play and synthetic speech detection with res2net architecture,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Re- play and synthetic speech detection with res2net architecture,

Reference 11

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raw_fallback, observed 2026-08-07T15:43:19.522604Z

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.

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Observation f9f9d5ef-fe9a-4142-9432-d12a407960c8 · outbound

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

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Aasist: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:12.128137Z digest=sha256:4b19cd5d933dc4247de11cf52306beadcbfd43af303af9cba0ac13f5e274a047

Observation 162d0d43-3ae5-4185-9c45-c3c9668a38c8 · outbound

This paper cites Phase-aware spoof speech detection based on res2net with phase network,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Phase-aware spoof speech detection based on res2net with phase network,

Reference 13

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raw_fallback, observed 2026-08-07T15:43:19.165907Z

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.

source=pdf_text observed=2026-08-07T15:43:12.224786Z digest=sha256:cddd721a2356f8938a4fb89888606435aff091b3f69f8e35f3070bfc3b2ae94c

Observation b66aae11-8e4f-498f-95f7-d5382ef90d8b · outbound

This paper cites Av- ocodo: Generative adversarial network for artifact-free vocoder,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Av- ocodo: Generative adversarial network for artifact-free vocoder,

Reference 14

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raw_fallback, observed 2026-08-07T15:43:17.758168Z

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.

source=pdf_text observed=2026-08-07T15:43:12.952054Z digest=sha256:ce96e1c5a93a1beef8a689bb7bf09cdbcf37d6f86adcdd53f9a43e6037391e1a

Observation fdbda11f-dd81-4e65-bc51-f42500f0a593 · outbound

This paper cites Automatic speaker verification spoofing and deep- fake detection using wav2vec 2.0 and data augmentation,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Automatic speaker verification spoofing and deep- fake detection using wav2vec 2.0 and data augmentation,

Reference 15

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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.

source=pdf_text observed=2026-08-07T15:43:12.469706Z digest=sha256:dc45b4d2adf5d378c1227f861b000af98ba19c582d0587845eb0bf0aeef80638

Observation 42993483-830e-4eb7-9a52-26f451246204 · outbound

This paper cites Audio deep- fake detection with self-supervised wavlm and multi-fusion atten- tive classifier,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Audio deep- fake detection with self-supervised wavlm and multi-fusion atten- tive classifier,

Reference 16

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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.

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Observation c1e1c282-9170-4013-91f5-a6d2bfaa5402 · outbound

This paper cites A conformer-based classifier for variable-length utterance process- ing in anti-spoofing,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection A conformer-based classifier for variable-length utterance process- ing in anti-spoofing,

Reference 17

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

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Observation be0f2a22-3802-47ac-b215-5ea51c523f9c · outbound

This paper cites Temporal-channel modeling in multi-head self- attention for synthetic speech detection,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Temporal-channel modeling in multi-head self- attention for synthetic speech detection,

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 32c924b3-0ca8-4638-aea5-9fe18a7f5f4f · outbound

This paper cites Xls-r: Self-supervised cross-lingual speech representation learning at scale,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Xls-r: Self-supervised cross-lingual speech representation learning at scale,

Reference 19

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Observation bee94b83-f307-4862-a9d3-3342d3421665 · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 20

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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.

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Observation dbe69abe-467a-4fa8-b4c2-f6ae15711ad8 · outbound

This paper cites On calibra- tion of modern neural networks,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection On calibra- tion of modern neural networks,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:13.574851Z digest=sha256:0352e1fdec2705bd6e9768f34c3aceb8b2df2ceaf263800bf0eaa21df36c75fc

Observation 66e936ca-3f88-4eff-967f-a5b2e90b7101 · outbound

This paper cites Grad-tts: A diffusion probabilistic model for text-to-speech,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Grad-tts: A diffusion probabilistic model for text-to-speech,

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 860ea245-94c9-45ab-a380-d68c48ecae44 · outbound

This paper cites Matcha-tts: A fast tts architecture with conditional flow match- ing,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Matcha-tts: A fast tts architecture with conditional flow match- ing,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 84468abc-44cc-4e85-905a-97b6a3c173ac · outbound

This paper cites Evaluating and reducing the distance between synthetic and real speech distributions,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Evaluating and reducing the distance between synthetic and real speech distributions,

Reference 24

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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.

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Observation d5065ee1-fdb9-409b-a598-803649558a9a · outbound

This paper cites Curriculum learning,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Curriculum learning,

Reference 25

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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.

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Observation 85b96b5d-5246-4315-9d26-e344d73abc7a · outbound

This paper cites Two different Raw- Boost algorithms were applied depending on the dataset.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Two different Raw- Boost algorithms were applied depending on the dataset

Reference 26

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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.

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Observation 69814332-140c-4528-aaa4-26f347e5fee3 · outbound

This paper cites Towards generic deepfake detec- tion with dynamic curriculum,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Towards generic deepfake detec- tion with dynamic curriculum,

Reference 27

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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.

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Observation 70992db0-f308-4890-99fc-3812ba742e4e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Distilling the Knowledge in a Neural Network

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:13.503200Z digest=sha256:623b5b99c94479c938247ec75a12b2f6aff412601f9528451e626c079ac74f6b

Observation a08675e9-3993-4eef-93fc-937d1d3425ed · outbound

This paper cites Investigating softmax tempering for training neural machine translation models,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Investigating softmax tempering for training neural machine translation models,

Reference 29

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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.

source=pdf_text observed=2026-08-07T15:43:13.658125Z digest=sha256:e13a7691f8e1893c3d1ec1f1afef64bc29a7b502c106d9d68c2a22becbd477de

Observation be77eb29-04e4-48f0-90b2-80d6e2ebb44d · outbound

This paper cites Dynamic temper- ature scaling in contrastive self-supervised learning for sensor- based human activity recognition,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Dynamic temper- ature scaling in contrastive self-supervised learning for sensor- based human activity recognition,

Reference 30

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raw_fallback, observed 2026-08-07T15:43:16.471511Z

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.

source=pdf_text observed=2026-08-07T15:43:13.768599Z digest=sha256:68e63f0cd1e85b3b66c6beb7934f66757d2acd5791116f0c1fcc5d31756b98d5

Observation 35a31f2b-04d9-4d2e-8e32-0eb5c9dfeb25 · outbound

This paper cites Utmos: Utokyo-sarulab system for voicemos challenge 2022,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Utmos: Utokyo-sarulab system for voicemos challenge 2022,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:13.869027Z digest=sha256:c2550e031bb3dac1435f00cdb60d56019c17e79150bc5e301614678d4db42d1c

Observation cd0e1466-7aac-4555-94b2-d2eced38c865 · outbound

This paper cites Does audio deepfake detection generalize?.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Does audio deepfake detection generalize?

Reference 32

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raw_fallback, observed 2026-08-07T15:43:16.209454Z

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.

source=pdf_text observed=2026-08-07T15:43:14.024518Z digest=sha256:c85bf19c35b378756b31ca0340182dac4668f12baccb46fa35993bca712cfe7c

Observation f30b97c4-54ce-4da6-8f36-4fab40bedfc1 · outbound

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

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Raw- boost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 33

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raw_fallback, observed 2026-08-07T15:43:16.002115Z

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.

source=pdf_text observed=2026-08-07T15:43:14.150077Z digest=sha256:0c7a8fe3ed3f2458715424c74d1123884b28bee03e08e7c55bc49fa020393db7

Observation f49021f5-b42d-4222-bcca-98e46818093d · outbound

This paper cites Improving short utterance anti-spoofing with aasist2,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Improving short utterance anti-spoofing with aasist2,

Reference 34

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raw_fallback, observed 2026-08-07T15:43:15.699245Z

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.

source=pdf_text observed=2026-08-07T15:43:14.233734Z digest=sha256:c9e44ed59af9d20487b6318e571454dbdfc2c82b2448c9d8f93b3b1c30b59b0d

Observation 77de2490-83be-40c2-a77c-0c53ca9a989a · outbound

This paper cites Mixture of Experts Fusion for Fake Audio Detection Using Frozen wav2vec 2.0.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Mixture of Experts Fusion for Fake Audio Detection Using Frozen wav2vec 2.0

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:14.338372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:14.338372Z digest=sha256:8926c2ce87c137cc77ec04c1f90283c1ecde9bba96d55598bf5fbed5a61bf580

Observation a6464e4a-3a6e-4753-8364-98ff935d3e1c · outbound

This paper cites One-class learning with adap- tive centroid shift for audio deepfake detection,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection One-class learning with adap- tive centroid shift for audio deepfake detection,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:15.339876Z

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.

source=pdf_text observed=2026-08-07T15:43:14.453258Z digest=sha256:ca1ce0c8dad05a6922b4f0550e69abf9c7c669f7f9f753743f945b2205dcecc2

Observation 72403507-0531-4d53-8f3a-43ab0277b59d · outbound

This paper cites Audio deepfake detection with self-supervised xls-r and sls classifier,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Audio deepfake detection with self-supervised xls-r and sls classifier,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:15.212404Z

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.

source=pdf_text observed=2026-08-07T15:43:14.522219Z digest=sha256:32cbd14f6f719f60c200f7b15f9452480444ffd39ad00ce0dd63c5bde09745ec

Observation 17c67b39-525a-49e8-aa63-c5aecfec2f99 · outbound

This paper cites Deep learning based assessment of syn- thetic speech naturalness,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Deep learning based assessment of syn- thetic speech naturalness,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:14.655250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:14.655250Z digest=sha256:681c847c19d25d7369b500202f8e8c4644382272f498513589b0a6cbf3f53846

Observation 21c70437-a84f-4ee7-aeac-e1e17e30e4bf · outbound

This paper cites Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise sup- pressors,.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise sup- pressors,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:14.739963Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:14.739963Z digest=sha256:a82534c40c1fc83e6ce0dbaa8c0f221efab0bf60ac47c55317fe1455949bf4ec

Pith citing papers

Observation a5da2a72-af78-41ff-95fb-9a3abdf34225 · inbound

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection cites this paper.

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:43:15.019675Z

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.

source=pdf_text observed=2026-08-07T15:43:10.791218Z digest=sha256:41fcfc8007232b64ea3339460c443b793dc4675fa885588007971552308b774e