Paper Citation Record · LEDGER

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2107.10394.

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

pith.paper-citation-record.v1
2107.10394 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:28:04.181297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:12:30.229594Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52a85b6e-df35-4a3f-91f6-90ac70e89fd1 · inbound

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion cites this paper.

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:28:04.181297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4189bac-1350-46ff-b3c3-a060f636ea3f · inbound

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training cites this paper.

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:56.397656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a2b170-d786-4e87-ba17-2c0a1aa4ebab · inbound

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects cites this paper.

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:12:30.233027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d9474951-477a-4b48-ae14-78b689c8c188 · inbound

AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plan cites this paper.

AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plan StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:21:00.649302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc491533-8746-43ae-8f01-dc89efd8725c · inbound

ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks cites this paper.

ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.591203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6e9c61e-998a-493d-bb7b-fdbbd34c7b87 · inbound

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection cites this paper.

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-14T14:47:58.592181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2984661d-20a6-422c-b1f0-fd2cc2e27884 · inbound

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks cites this paper.

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-08T11:50:21.162778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.