Paper Citation Record · LEDGER

The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.09305.

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

pith.paper-citation-record.v1
2409.09305 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:15:49.589322Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:19:02.920730Z

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 890cdb57-1aff-4c5e-bdb1-09b130093fd9 · inbound

Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement cites this paper.

Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:49.589322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ca2bfd7-9187-4d2a-945d-c5e9210fa9d0 · inbound

SOVA-Bench: Benchmarking the Speech Conversation Ability for LLM-based Voice Assistant cites this paper.

SOVA-Bench: Benchmarking the Speech Conversation Ability for LLM-based Voice Assistant The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:23.302596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ff6187-ee6a-405d-a300-ccca218c79d6 · inbound

JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation cites this paper.

JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.789450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6362e69-3f52-4879-9cc6-c856ae3487c4 · inbound

Task-Vector Arithmetic for Emotional Expressivity Control in Language-Model-Based Text-to-Speech cites this paper.

Task-Vector Arithmetic for Emotional Expressivity Control in Language-Model-Based Text-to-Speech The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:16:52.943222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c4704b3-6014-4041-a001-9a6e4ab90c53 · inbound

Reliable Neural-Codec Text-to-Speech by ASR Self-Verification and Distillation: Near-Zero Catastrophic Failures Across Models and Codecs cites this paper.

Reliable Neural-Codec Text-to-Speech by ASR Self-Verification and Distillation: Near-Zero Catastrophic Failures Across Models and Codecs The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:19:02.923981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.