Paper Citation Record · LEDGER

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck

As of 21 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2606.31411.

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

pith.paper-citation-record.v1
2606.31411 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:56:24.699192Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:56:24.699192Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T10:05:40.492683Z

Reference resolution

39 of 39 outbound references displayed

verified exact3
verified fuzzy32
unresolved1
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a3fda5e-bffb-43b3-9349-84cb516c904f · outbound

This paper cites Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T10:05:40.494027Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ef853c6-4b42-4f71-9033-579aee249d58 · outbound

This paper cites an unresolved cited work.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-07-06T20:02:56.314636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca2af114-3d11-4b9f-adb8-9a45d4090cb5 · outbound

This paper cites The teacher model is trained using a phrase linguis- tic content classification task to capture linguistic features.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck The teacher model is trained using a phrase linguis- tic content classification task to capture linguistic features

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-07-06T20:02:56.320023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57a87af3-98a4-44db-945b-b1ec4ca2b053 · outbound

This paper cites Average” reports the mean EER across evaluation sets. “Pooled.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Average” reports the mean EER across evaluation sets. “Pooled

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-07-06T20:02:56.285369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7793a95d-d7ee-479e-9562-222a72b0ba73 · outbound

This paper cites an unresolved cited work.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Unresolved cited work

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-07-06T20:02:56.305453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6103f4e4-b14a-4f2c-b0c3-1585ba517320 · outbound

This paper cites We demonstrate that, in ASVspoof 5, mismatches in spoken content between spoofed and bona fide utterances enable models to exploit lin- guistic cues, undermining generalization.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck We demonstrate that, in ASVspoof 5, mismatches in spoken content between spoofed and bona fide utterances enable models to exploit lin- guistic cues, undermining generalization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.283585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ff0113f-bd86-40ef-8f37-963d3542a6bd · outbound

This paper cites This work was financially supported by ANR BRUEL (ANR-22-CE39-0009).

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck This work was financially supported by ANR BRUEL (ANR-22-CE39-0009)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.327696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a620f04-3b51-4a18-939a-0c7ea03f0931 · outbound

This paper cites The authors rigorously reviewed and edited all text and take full responsibility for the publication content.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck The authors rigorously reviewed and edited all text and take full responsibility for the publication content

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.300416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fca9e27-1da2-4684-abde-615998417afc · outbound

This paper cites ASVspoof 5: crowd- sourced speech data, deepfakes, and adversarial attacks at scale,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck ASVspoof 5: crowd- sourced speech data, deepfakes, and adversarial attacks at scale,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.296547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00ac420b-a685-4b73-a40b-e43e9f92d0cc · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck ADD 2022: the first audio deep synthesis detection challenge,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.267349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 671f97e1-a3d7-4677-9209-642bfd057b20 · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck AASIST: audio anti-spoofing using integrated spectro- temporal graph attention networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.275299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 984e3101-fb50-4771-ad28-db7ceb900384 · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck A conformer-based classifier for variable-length utterance process- ing in anti-spoofing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.262613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 734241bd-777c-47f1-98d0-f517012911e8 · outbound

This paper cites Exploring WavLM back-ends for speech spoofing and deepfake detection,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Exploring WavLM back-ends for speech spoofing and deepfake detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.265056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0efbf698-2bc3-468a-af46-43e479e66822 · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Audio deepfake detection with self- supervised xls-r and sls classifier

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.260801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 23d37d44-432b-48f5-83d2-df7432b1f35b · outbound

This paper cites Xlsr-mamba: A dual-column bidirec- tional state space model for spoofing attack detection,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Xlsr-mamba: A dual-column bidirec- tional state space model for spoofing attack detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.277308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5804101c-6f96-4f09-8a5e-096b7843c5c8 · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Aasist: Audio anti-spoofing using inte- grated spectro-temporal graph attention networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.279129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 295f2bd8-86b7-4b70-afb4-edc2ad2b6b0d · outbound

This paper cites End-to-end anti-spoofing with rawnet2,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck End-to-end anti-spoofing with rawnet2,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.281516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2b53a04-b603-4dbc-a83f-9a546b4f8d6d · outbound

This paper cites ASVspoof 5 challenge: advanced resnet architectures for robust voice spoofing detection,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck ASVspoof 5 challenge: advanced resnet architectures for robust voice spoofing detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.312924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa5584ee-e0c8-45b3-a7e0-dd43fc19494d · outbound

This paper cites Speech is silver, silence is golden: What do ASVspoof-trained models really learn?.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Speech is silver, silence is golden: What do ASVspoof-trained models really learn?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.303860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dccb1fee-dd07-43ae-8116-74049323dc3d · outbound

This paper cites ASVspoof 5: Evaluation of spoofing, deepfake, and adver- sarial attack detection using crowdsourced speech,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck ASVspoof 5: Evaluation of spoofing, deepfake, and adver- sarial attack detection using crowdsourced speech,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.294760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b11c860-d690-47a5-b08a-16e925cb7eee · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Unsupervised domain adaptation by backpropagation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.292990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa3de946-2e84-4d54-bd35-027b19db3f75 · outbound

This paper cites Assessing the impact of speaker identity in speech spoofing detection,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Assessing the impact of speaker identity in speech spoofing detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.329600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5b3d3534-5bc1-4b77-9d02-39c1b0afba48 · outbound

This paper cites Enhancing multi-corpus training in ssl-based anti-spoofing models: Domain- invariant feature extraction,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Enhancing multi-corpus training in ssl-based anti-spoofing models: Domain- invariant feature extraction,

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:05:40.500173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 13b372a1-ba49-4ca9-a18c-1fe78713ee23 · outbound

This paper cites Deep vari- ational information bottleneck,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Deep vari- ational information bottleneck,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.289156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b51b4af1-a270-430c-b481-64b0cc261b42 · outbound

This paper cites SONAR: Sentence-Level Multimodal and Language-Agnostic Representations.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck SONAR: Sentence-Level Multimodal and Language-Agnostic Representations

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:05:40.497056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60ab605a-e7a1-49c5-ab4a-39dcc2706d5e · outbound

This paper cites XLS-R: self-supervised cross-lingual speech representation learning at scale,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck XLS-R: self-supervised cross-lingual speech representation learning at scale,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.316351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f3ca6e97-f6fd-4f43-95ce-b92b03297429 · outbound

This paper cites Unified text and speaker verification using ssl model for text- dependent speaker verification,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Unified text and speaker verification using ssl model for text- dependent speaker verification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.318213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef4f01c1-1bbd-4c74-8683-2a1ed248b9f0 · outbound

This paper cites Speech df arena: A leaderboard for speech deepfake detection models,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Speech df arena: A leaderboard for speech deepfake detection models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.322081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 703c2ff8-5d66-41e9-a23d-5aacaf4bd410 · outbound

This paper cites Does audio deepfake detection generalize?.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Does audio deepfake detection generalize?

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.325793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4aef4a4f-a9df-4ac7-97a4-8ed2d40d37f2 · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck ASVspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.323849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5cf3789-a07f-4b30-ab35-4fcd056459f7 · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.307263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c4ecfc5-030b-40fa-80b0-674481afebfe · outbound

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

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck For: A dataset for synthetic speech detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.309225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 800778af-7bd7-4e58-8445-c59ebceac3f3 · outbound

This paper cites The codecfake dataset and countermeasures for the universally detection of deepfake audio,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck The codecfake dataset and countermeasures for the universally detection of deepfake audio,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.291100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98066b9a-b085-47b8-a8ac-74cd6e389595 · outbound

This paper cites Dfadd: The diffusion and flow- matching based audio deepfake dataset,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Dfadd: The diffusion and flow- matching based audio deepfake dataset,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.298484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad229b7f-cf90-42f1-adf4-f78baecd59d1 · outbound

This paper cites Ai-synthesized voice detection using neural vocoder artifacts,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Ai-synthesized voice detection using neural vocoder artifacts,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.302130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db63c540-c2f7-4f4d-a6f7-afab89e2384a · outbound

This paper cites Where are we in audio deep- fake detection? a systematic analysis over generative and detec- tion models,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Where are we in audio deep- fake detection? a systematic analysis over generative and detec- tion models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.287381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1a8758b-6ecd-46ea-97d5-ae345f971429 · outbound

This paper cites MUSAN: A music, speech, and noise corpus,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck MUSAN: A music, speech, and noise corpus,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.310922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0997b52-57c0-48c6-b938-999924ac40c7 · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck A study on data augmentation of reverberant speech for robust speech recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.271815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 68f0cf51-06b6-4049-bb98-e572b971c038 · outbound

This paper cites Adam: A method for stochastic opti- mization,.

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Adam: A method for stochastic opti- mization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T20:02:56.273536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 8a3fda5e-bffb-43b3-9349-84cb516c904f · inbound