Paper Citation Record · LEDGER

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.04314.

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

pith.paper-citation-record.v1
2607.04314 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:10:31.150625Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

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verified fuzzy0
unresolved14
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1671982-0e41-4708-9c42-ee79fef06a12 · outbound

This paper cites ASVspoof 2021: Towards spoofed and deepfake speech detection in the wild,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing ASVspoof 2021: Towards spoofed and deepfake speech detection in the wild,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 338d1d36-6e05-4454-9fbe-7d8361d3d096 · outbound

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

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

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Observation 66934558-3e34-4119-97f8-dcf13094b027 · outbound

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

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ec56ad-fa4e-4206-ad33-cd2d60c91cba · outbound

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

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b03c90-d1f2-4487-a431-7d5fec2af6dd · outbound

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

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing AASIST: Audio anti-spoofing using integrated spectro- temporal graph attention networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec2cbbc-704f-45f0-976d-2f682efd0398 · outbound

This paper cites End-to-end anti-spoofing with RawNet2,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing End-to-end anti-spoofing with RawNet2,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc466e6-d6e1-4303-9a19-1961f4cd210c · outbound

This paper cites Attentive merging of hidden embeddings from pre-trained speech model for anti-spoofing detection,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Attentive merging of hidden embeddings from pre-trained speech model for anti-spoofing detection,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ebf520-8efa-48b4-b7dd-528053a32f29 · outbound

This paper cites Audio deepfake detection with self- supervised XLS-R and SLS classifier,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Audio deepfake detection with self- supervised XLS-R and SLS classifier,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421bbb64-dbf0-47b4-93ce-f22483319b06 · outbound

This paper cites Two views, one truth: Spectral and self-supervised features fusion for robust speech deepfake detection,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Two views, one truth: Spectral and self-supervised features fusion for robust speech deepfake detection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

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Observation 1de197a8-1a37-41a6-8e91-a5d50ce7620b · outbound

This paper cites Pitch Imperfect: Detecting Audio Deepfakes Through Acoustic Prosodic Analysis.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Pitch Imperfect: Detecting Audio Deepfakes Through Acoustic Prosodic Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

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Observation d712b68c-2111-4f27-ba96-d047513e3d84 · outbound

This paper cites Contributions of jitter and shimmer in the voice for fake audio detection,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Contributions of jitter and shimmer in the voice for fake audio detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

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Observation b143e5fc-1669-4f94-b823-a0496130599c · outbound

This paper cites Toward robust replay attack detection in automatic speaker verification: A study of spectrum estima- tion and channel magnitude response modeling,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Toward robust replay attack detection in automatic speaker verification: A study of spectrum estima- tion and channel magnitude response modeling,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4933feb-17b9-4a24-a782-8793f9a7e2a0 · outbound

This paper cites Domain-adversarial training of neural networks,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Domain-adversarial training of neural networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95bb5885-f758-479f-87ff-b551ff83833d · outbound

This paper cites Focal loss for dense object detection,.

MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing Focal loss for dense object detection,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T20:10:31.150625Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.