Paper Citation Record · LEDGER

From Sharpness to Better Generalization for Speech Deepfake Detection

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 3 inbound Pith citation observations for arXiv:2506.11532.

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

pith.paper-citation-record.v1
2506.11532 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:06.134207Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:06.023468Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy31
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e4ee6c69-9034-434b-b366-dfc6c28dd70b · outbound

This paper cites From Sharpness to Better Generalization for Speech Deepfake Detection.

From Sharpness to Better Generalization for Speech Deepfake Detection From Sharpness to Better Generalization for Speech Deepfake Detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.023468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f2cd90-0876-462a-87b1-12d71b9dc665 · outbound

This paper cites Given this characteristic, we aim to first explore whether sharpness can serve as a diagnos- tic tool to evaluate how domain mismatch impacts the model’s sensitivity and robustness.

From Sharpness to Better Generalization for Speech Deepfake Detection Given this characteristic, we aim to first explore whether sharpness can serve as a diagnos- tic tool to evaluate how domain mismatch impacts the model’s sensitivity and robustness

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.494876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7dd83860-ba73-4abe-8f8f-9094b37529b1 · outbound

This paper cites Similar to Section 2, let S = (xi, yi)n i=1 be a set of la- beled data, and let ℓi(w) denote the loss evaluated at the point (xi, yi).

From Sharpness to Better Generalization for Speech Deepfake Detection Similar to Section 2, let S = (xi, yi)n i=1 be a set of la- beled data, and let ℓi(w) denote the loss evaluated at the point (xi, yi)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.485523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6aba8530-40c5-4c91-8ce4-7061ab8ed59e · outbound

This paper cites Experimental Settings Datasets.

From Sharpness to Better Generalization for Speech Deepfake Detection Experimental Settings Datasets

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:08:06.477100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aeb2675f-4165-4fa7-97d2-cec3c2151ed6 · outbound

This paper cites Our findings show that sharpness increases under domain shifts, indicating model sensitivity to unseen conditions.

From Sharpness to Better Generalization for Speech Deepfake Detection Our findings show that sharpness increases under domain shifts, indicating model sensitivity to unseen conditions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.468562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2febeaa9-aaa5-4bac-b00d-1a705aee12f9 · outbound

This paper cites This study is partially supported by JST AIP Acceleration Research (JPMJCR24U3).

From Sharpness to Better Generalization for Speech Deepfake Detection This study is partially supported by JST AIP Acceleration Research (JPMJCR24U3)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.460260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d463b649-e7d6-402b-8ca5-caa6db90ce20 · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection ASVspoof 2021: Accelerating progress in spoofed and deep- fake speech detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.450405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 014fb6e4-e95b-4011-8bcd-309a297e8168 · outbound

This paper cites Does audio deepfake detection generalize?.

From Sharpness to Better Generalization for Speech Deepfake Detection Does audio deepfake detection generalize?

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.441586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33e83e4a-72b3-4e5e-9d91-ceb8ea3eed93 · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection Raw- Boost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.432081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c02b99e4-d8be-44d5-873e-b6db9d2f2670 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

From Sharpness to Better Generalization for Speech Deepfake Detection SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.052690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae359a24-39a8-4bc5-8e60-1f3d2aef1ad5 · outbound

This paper cites Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders,.

From Sharpness to Better Generalization for Speech Deepfake Detection Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.423172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0af6fed-7f59-4534-8a78-91335bce76f0 · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.413095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 247c92a9-543a-4eb8-8c68-e5b8f7eb0c6f · outbound

This paper cites CPAUG: Refining copy-paste augmentation for speech anti-spoofing,.

From Sharpness to Better Generalization for Speech Deepfake Detection CPAUG: Refining copy-paste augmentation for speech anti-spoofing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.404071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a62ff9c9-9c8f-4e2c-8d26-0b252f78576a · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.395096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c735018-3ee9-4faf-a4f8-24ec1367abea · outbound

This paper cites Spoofing speech detection by modeling local spectro-temporal and long-term dependency,.

From Sharpness to Better Generalization for Speech Deepfake Detection Spoofing speech detection by modeling local spectro-temporal and long-term dependency,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.385699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67a2c67e-3925-4a05-bda3-a334f3300a82 · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection Temporal-channel modeling in multi-head self- attention for synthetic speech detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.376230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e8f77d0-30b0-440d-91f3-1f44ca53a87b · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

From Sharpness to Better Generalization for Speech Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.074743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e892ec6f-7acc-49c8-a6fa-fde74123eb15 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

From Sharpness to Better Generalization for Speech Deepfake Detection XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.077547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2058afe-0d13-4553-a960-5f5af0492c51 · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection WavLM: Large-scale self- supervised pre-training for full stack speech processing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.360740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18e799f9-d68e-4df4-b396-2d86c841808d · outbound

This paper cites One-class learning towards syn- thetic voice spoofing detection,.

From Sharpness to Better Generalization for Speech Deepfake Detection One-class learning towards syn- thetic voice spoofing detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.352294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4f60f475-7973-4869-bb53-83931b0bcf04 · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection One-class learning with adap- tive centroid shift for audio deepfake detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.343627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dd29b08-6536-4651-9df7-bdbaa24afc79 · outbound

This paper cites Generalizable audio deepfake detection via latent space refinement and augmen- tation,.

From Sharpness to Better Generalization for Speech Deepfake Detection Generalizable audio deepfake detection via latent space refinement and augmen- tation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.334807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2a5b489-e3a3-4c41-abe5-653425d8c1d0 · outbound

This paper cites Tandem assessment of spoofing countermeasures and au- tomatic speaker verification: Fundamentals,.

From Sharpness to Better Generalization for Speech Deepfake Detection Tandem assessment of spoofing countermeasures and au- tomatic speaker verification: Fundamentals,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.325958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3280b87-e298-4c48-918f-3ed4faa65820 · outbound

This paper cites t- EER: Parameter-free tandem evaluation of countermeasures and biometric comparators,.

From Sharpness to Better Generalization for Speech Deepfake Detection t- EER: Parameter-free tandem evaluation of countermeasures and biometric comparators,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.317374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d62f2262-7b7c-4c51-95da-dfcfa3bcade1 · outbound

This paper cites On large-batch training for deep learning: Gen- eralization gap and sharp minima,.

From Sharpness to Better Generalization for Speech Deepfake Detection On large-batch training for deep learning: Gen- eralization gap and sharp minima,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.308661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 761f59f8-b724-471e-9f93-72e4e2f4327f · outbound

This paper cites Fantastic generalization measures and where to find them,.

From Sharpness to Better Generalization for Speech Deepfake Detection Fantastic generalization measures and where to find them,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.299815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 194deb78-a70b-4814-9870-1110906c934a · outbound

This paper cites Sharpness- aware minimization for efficiently improving generalization,.

From Sharpness to Better Generalization for Speech Deepfake Detection Sharpness- aware minimization for efficiently improving generalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.291154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3384db4-fa1e-43cc-8d2f-ca0dd0fb1820 · outbound

This paper cites Multi-dataset co- training with sharpness-aware optimization for audio anti- spoofing,.

From Sharpness to Better Generalization for Speech Deepfake Detection Multi-dataset co- training with sharpness-aware optimization for audio anti- spoofing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.282444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 408f35d8-df21-4526-9560-d91bfe0f3a59 · outbound

This paper cites Towards understanding sharpness-aware minimization,.

From Sharpness to Better Generalization for Speech Deepfake Detection Towards understanding sharpness-aware minimization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.273686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 530be821-8d0f-4577-9f6e-20edc82a05d2 · outbound

This paper cites ASVspoof 2019: A large-scale public database of synthe- sized, converted and replayed speech,.

From Sharpness to Better Generalization for Speech Deepfake Detection ASVspoof 2019: A large-scale public database of synthe- sized, converted and replayed speech,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.264097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e42f1f5-b2bc-4afe-b002-26a6bbcc47ca · outbound

This paper cites FoR: A dataset for synthetic speech detection,.

From Sharpness to Better Generalization for Speech Deepfake Detection FoR: A dataset for synthetic speech detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.253827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ddca4dd-dd32-41f7-993b-1fc3bb12e62d · outbound

This paper cites WaveFake: A data set to facilitate audio deepfake detection,.

From Sharpness to Better Generalization for Speech Deepfake Detection WaveFake: A data set to facilitate audio deepfake detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.244470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2c8b38a1-2083-4f0b-8f88-4a61eae2cd31 · outbound

This paper cites The LJ Speech dataset,.

From Sharpness to Better Generalization for Speech Deepfake Detection The LJ Speech dataset,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.235555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d15f53f-2a35-4420-9f92-e11f896afc4f · outbound

This paper cites JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis.

From Sharpness to Better Generalization for Speech Deepfake Detection JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.121956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c79aa350-f315-4a0a-a25c-7e1bc0e50973 · outbound

This paper cites ADD 2022: the first audio deep synthesis detection challenge,.

From Sharpness to Better Generalization for Speech Deepfake Detection ADD 2022: the first audio deep synthesis detection challenge,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.226208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5227d705-a7cd-4d09-a7bd-ba480342f0a1 · outbound

This paper cites SpoofCeleb: Speech deepfake detection and SASV in the wild,.

From Sharpness to Better Generalization for Speech Deepfake Detection SpoofCeleb: Speech deepfake detection and SASV in the wild,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.216868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8f747ba8-98df-4bee-9e13-cc09789a5f60 · outbound

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

From Sharpness to Better Generalization for Speech Deepfake Detection Automatic speaker verification spoofing and deep- fake detection using wav2vec 2.0 and data augmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.207161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0b2a565-d15c-4378-8e6d-e42fb909f865 · outbound

This paper cites Visualizing the loss landscape of neural nets,.

From Sharpness to Better Generalization for Speech Deepfake Detection Visualizing the loss landscape of neural nets,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.134207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e4ee6c69-9034-434b-b366-dfc6c28dd70b · inbound