Paper Citation Record · LEDGER

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2412.01100.

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

pith.paper-citation-record.v1
2412.01100 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:46:23.404901Z

measured 34 of 34 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:46:23.292385Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T04:46:23.543943Z

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy17
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1190a25e-e7b2-4c45-889b-8d3fc6a7410d · outbound

This paper cites On the one hand, TTS systems need to accurately replicate the target speakers’ voice, including their timbre, pitch, and prosody, using voice cloning techniques.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 On the one hand, TTS systems need to accurately replicate the target speakers’ voice, including their timbre, pitch, and prosody, using voice cloning techniques

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.787300Z

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 a5953255-227d-4271-9788-83a2cc98c164 · outbound

This paper cites The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T04:46:23.547969Z

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 592e28c6-cd5f-4b2a-98ac-9cdff6417d90 · outbound

This paper cites Firstly, we will overview the text represen- tations and the discrete speech tokens, and then introduce the LLaMA-based codec language model with a delay pattern.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Firstly, we will overview the text represen- tations and the discrete speech tokens, and then introduce the LLaMA-based codec language model with a delay pattern

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.775974Z

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 6f26b3b5-fbf7-41de-9a15-3bd8a680e28b · outbound

This paper cites Model Configurations We use the open-source models and parameters of MT5-base, DAC and HuBERT, with both DAC and HuBERT configured for a sampling rate of 16 kHz.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Model Configurations We use the open-source models and parameters of MT5-base, DAC and HuBERT, with both DAC and HuBERT configured for a sampling rate of 16 kHz

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T04:46:23.764622Z

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 01c61244-b2b2-41d0-90ba-e3291cb72429 · outbound

This paper cites 嗯” (En- glish translation: “um.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 嗯” (En- glish translation: “um

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.752707Z

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 b7fa6797-065c-45fa-8d5d-8d8bf1dff17b · outbound

This paper cites We propose a LLaMA-based codec language model with a delay pattern for spontaneous style voice cloning.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 We propose a LLaMA-based codec language model with a delay pattern for spontaneous style voice cloning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.740832Z

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 542d5b6a-0118-423b-9794-2f06bfeb2511 · outbound

This paper cites an unresolved cited work.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:46:23.727825Z

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 139d5379-45c2-4cf5-bd1c-874b58db1a35 · outbound

This paper cites Deep voice 3: Scaling text- to-speech with convolutional sequence learning,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Deep voice 3: Scaling text- to-speech with convolutional sequence learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.716321Z

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 b710d84c-195f-4657-98c3-a383d04cd232 · outbound

This paper cites Neural voice cloning with a few samples,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Neural voice cloning with a few samples,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.705048Z

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 ea60877d-f449-4e08-bac4-d82e9ed42ed0 · outbound

This paper cites Adaspeech: Adaptive text to speech for custom voice,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Adaspeech: Adaptive text to speech for custom voice,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.693828Z

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 2be492a3-b375-428d-9fd9-c5743916fb77 · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.326163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d446060d-6a77-46c0-81dd-6940d5873c3c · outbound

This paper cites Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.330505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d293bd2d-c7d7-4380-9a81-fddc37b9b8b6 · outbound

This paper cites Speechx: Neural codec language model as a versatile speech transformer,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Speechx: Neural codec language model as a versatile speech transformer,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.682223Z

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 52a4f702-c67b-4136-bb99-3b2fed255e00 · outbound

This paper cites ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.337892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9536cd50-92d2-420f-b1a8-48d92887b299 · outbound

This paper cites High Fidelity Neural Audio Compression.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 High Fidelity Neural Audio Compression

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.341898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d4e3c2-ab15-4282-8e69-e1e06b5951f9 · outbound

This paper cites Soundstream: An end-to-end neural audio codec,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Soundstream: An end-to-end neural audio codec,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.345998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2336ffaf-b83f-4884-8c33-73fefbbd7960 · outbound

This paper cites Conversational end-to-end tts for voice agents,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Conversational end-to-end tts for voice agents,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.662670Z

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 9ace13ad-7a94-4da0-b69b-b61de73813ed · outbound

This paper cites End-to-end text-to-speech based on latent representa- tion of speaking styles using spontaneous dialogue,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 End-to-end text-to-speech based on latent representa- tion of speaking styles using spontaneous dialogue,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.651480Z

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 e941ab01-b81a-4b56-82c3-6611513a1fc5 · outbound

This paper cites Spontts: modeling and transferring spontaneous style for tts,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Spontts: modeling and transferring spontaneous style for tts,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.640293Z

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 ab184b98-a3ca-4c99-96f8-ebee51f4f082 · outbound

This paper cites Controllable Context-aware Conversational Speech Synthesis.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Controllable Context-aware Conversational Speech Synthesis

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:46:23.491867Z

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 eef021a3-549c-473f-8d2f-0f8ff685f326 · outbound

This paper cites Spontaneous Style Text-to-Speech Synthesis with Controllable Spontaneous Behaviors Based on Language Models.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Spontaneous Style Text-to-Speech Synthesis with Controllable Spontaneous Behaviors Based on Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.364935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8198aee0-864b-4a99-aae9-39ad1aece243 · outbound

This paper cites WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.368773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 713e2b56-1c94-4773-bb5a-85dd25ea7cc5 · outbound

This paper cites Wenetspeech: A 10000+ hours multi- domain mandarin corpus for speech recognition,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Wenetspeech: A 10000+ hours multi- domain mandarin corpus for speech recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.629094Z

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 d7bf9a78-9f93-4ed1-baf8-69e0a9c4cdcc · outbound

This paper cites mt5: A massively multilingual pre-trained text-to-text transformer,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 mt5: A massively multilingual pre-trained text-to-text transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.617503Z

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 a8c3f4cf-12b0-42e2-b03f-74b31a86af06 · outbound

This paper cites HuBERT: Self-Supervised Speech Rep- resentation Learning by Masked Prediction of Hidden Units,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 HuBERT: Self-Supervised Speech Rep- resentation Learning by Masked Prediction of Hidden Units,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.377892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f66521be-d789-4b3c-8d13-68af8feaa5a6 · outbound

This paper cites High-fidelity audio compression with improved rvqgan,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 High-fidelity audio compression with improved rvqgan,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.599558Z

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 0f5ec975-e862-44f8-8c43-08b91f42b660 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 LLaMA: Open and Efficient Foundation Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.384154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9cbc3d8-0b36-4985-b679-2ddd1768a059 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Flashattention: Fast and memory-efficient exact attention with io-awareness,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.589572Z

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 30144310-756d-41df-ba16-52faf1b7a0e8 · outbound

This paper cites Speak, read and prompt: High-fidelity text-to-speech with min- imal supervision,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Speak, read and prompt: High-fidelity text-to-speech with min- imal supervision,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.390561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b902a4c1-e7f8-48ac-8890-11e9b59feea2 · outbound

This paper cites Simple and controllable music gen- eration,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Simple and controllable music gen- eration,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.570739Z

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 d6439b49-a38e-4d9c-82ea-8e7aacd6f301 · outbound

This paper cites Natural language guidance of high-fidelity text-to-speech with synthetic annotations.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Natural language guidance of high-fidelity text-to-speech with synthetic annotations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.397620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39d733d5-23be-4d16-a63b-ccb8ab33b86a · outbound

This paper cites Stay on topic with Classifier-Free Guidance.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 Stay on topic with Classifier-Free Guidance

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:23.401316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724b1e42-e0be-4518-9a48-49440cf836ad · outbound

This paper cites V oxinstruct: Expressive human instruction-to-speech generation with unified multilingual codec language modelling,.

The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024 V oxinstruct: Expressive human instruction-to-speech generation with unified multilingual codec language modelling,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:23.559034Z

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.

Pith citing papers

Observation a5953255-227d-4271-9788-83a2cc98c164 · inbound