Paper Citation Record · LEDGER

Learning Neural Vocoder from Range-Null Space Decomposition

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.20731.

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

pith.paper-citation-record.v1
2507.20731 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:26:14.549676Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

47 of 47 outbound references displayed

verified exact2
verified fuzzy40
unresolved5
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45713402-8499-4e56-bfc8-317cf8eb9f88 · outbound

This paper cites APNet: An all-frame-level neural vocoder incorporating direct prediction of amplitude and phase spectra.IEEE/ACM Trans.

Learning Neural Vocoder from Range-Null Space Decomposition APNet: An all-frame-level neural vocoder incorporating direct prediction of amplitude and phase spectra.IEEE/ACM Trans

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.422750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6de55948-0919-4fed-812e-50335bd5eee7 · outbound

This paper cites Model-based com- pressive sensing.IEEE Trans.

Learning Neural Vocoder from Range-Null Space Decomposition Model-based com- pressive sensing.IEEE Trans

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.391987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 55dd592a-af43-4582-912e-6383ae462bcb · outbound

This paper cites Delving Deep into Rectifiers: Sur- passing Human-Level Performance on Imagenet Classifi- cation.

Learning Neural Vocoder from Range-Null Space Decomposition Delving Deep into Rectifiers: Sur- passing Human-Level Performance on Imagenet Classifi- cation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.347599Z

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Observation 9a5b7df9-ddc3-42fe-9bbf-695f9f8e13db · outbound

This paper cites Glotnet—a raw waveform model for the glottal excitation in statistical parametric speech synthesis.IEEE/ACM Trans.

Learning Neural Vocoder from Range-Null Space Decomposition Glotnet—a raw waveform model for the glottal excitation in statistical parametric speech synthesis.IEEE/ACM Trans

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.303832Z

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Observation 82327e7e-7f8e-4654-a460-420246f58f75 · outbound

This paper cites STRAIGHT, exploita- tion of the other aspect of VOCODER: Perceptually iso- morphic decomposition of speech sounds.Acoustical sci- ence and technology, 27(6):349–353,.

Learning Neural Vocoder from Range-Null Space Decomposition STRAIGHT, exploita- tion of the other aspect of VOCODER: Perceptually iso- morphic decomposition of speech sounds.Acoustical sci- ence and technology, 27(6):349–353,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.260202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88397b86-d22e-4e43-b0ba-968cdb906d97 · outbound

This paper cites Hifi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Hifi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.213027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 719bf50a-8a25-4474-977f-e2ce7d7ce9b8 · outbound

This paper cites BeaqleJS: HTML5 and JavaScript based framework for the subjective evaluation of audio quality.

Learning Neural Vocoder from Range-Null Space Decomposition BeaqleJS: HTML5 and JavaScript based framework for the subjective evaluation of audio quality

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.179870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac45b788-b54f-4584-96c5-e929b48c3b87 · outbound

This paper cites PriorGrad: Improv- ing Conditional Denoising Diffusion Models with Data- Dependent Adaptive Prior.

Learning Neural Vocoder from Range-Null Space Decomposition PriorGrad: Improv- ing Conditional Denoising Diffusion Models with Data- Dependent Adaptive Prior

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.133831Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a4a4da2-3c79-4061-9158-97487c9b18a8 · outbound

This paper cites BigVGAN: A Uni- versal Neural Vocoder with Large-Scale Training.

Learning Neural Vocoder from Range-Null Space Decomposition BigVGAN: A Uni- versal Neural Vocoder with Large-Scale Training

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.118512Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a8e739a-549c-4ceb-b4cf-432bac75273c · outbound

This paper cites Layer normalization.ArXiv e-prints, pages arXiv–1607,.

Learning Neural Vocoder from Range-Null Space Decomposition Layer normalization.ArXiv e-prints, pages arXiv–1607,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.103254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation caa02a96-fc81-4746-832a-0edcf08c8d97 · outbound

This paper cites Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement.

Learning Neural Vocoder from Range-Null Space Decomposition Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.088466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be508643-0f5c-4216-9195-6bd4526e9ed7 · outbound

This paper cites Neural Vocoders as Speech Enhancers.

Learning Neural Vocoder from Range-Null Space Decomposition Neural Vocoders as Speech Enhancers

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:26:14.670112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6296bffa-a6e5-42ed-9687-d3fbf57bc442 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning Neural Vocoder from Range-Null Space Decomposition Decoupled Weight Decay Regularization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T13:26:14.464188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aace0835-d35d-4434-83fb-c8dfc1e276d7 · outbound

This paper cites DPM-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Proc.

Learning Neural Vocoder from Range-Null Space Decomposition DPM-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Proc

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.943599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 867d3e0c-2c10-4748-83dd-b5c511e2fd02 · outbound

This paper cites FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter.

Learning Neural Vocoder from Range-Null Space Decomposition FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.929754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4bbdcf0f-af6f-4b32-b18f-7a5edad747bb · outbound

This paper cites Chunked Autoregressive GAN for Condi- tional Waveform Synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Chunked Autoregressive GAN for Condi- tional Waveform Synthesis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.901363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 465c7048-4581-472c-ba01-74e2e414b862 · outbound

This paper cites Parallel wavenet: Fast high-fidelity speech synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Parallel wavenet: Fast high-fidelity speech synthesis

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.887060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation de54dc46-ae97-4256-bf04-c66d68342186 · outbound

This paper cites Waveflow: A compact flow-based model for raw audio.

Learning Neural Vocoder from Range-Null Space Decomposition Waveflow: A compact flow-based model for raw audio

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.872671Z

Source-reported events for the cited work

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Observation e53974d5-9410-41a9-817b-79c6d49f24f5 · outbound

This paper cites Waveglow: A flow-based generative network for speech synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Waveglow: A flow-based generative network for speech synthesis

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.858710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 330fb22a-bc49-447a-bc55-1dea7448cadb · outbound

This paper cites Spa- tialNet: Extensively learning spatial information for multi- channel joint speech separation, denoising and dereverber- ation.IEEE/ACM Trans.

Learning Neural Vocoder from Range-Null Space Decomposition Spa- tialNet: Extensively learning spatial information for multi- channel joint speech separation, denoising and dereverber- ation.IEEE/ACM Trans

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.844865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation de36f8a1-8015-45e1-be4a-57372f7d6c74 · outbound

This paper cites The MUSDB18 corpus for music separation.

Learning Neural Vocoder from Range-Null Space Decomposition The MUSDB18 corpus for music separation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.829445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 86085615-0a45-4200-a861-45864f0f14a0 · outbound

This paper cites Searching for Activation Functions.

Learning Neural Vocoder from Range-Null Space Decomposition Searching for Activation Functions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T13:26:14.507027Z

Source-reported events for the cited work

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Observation 723cfe4f-b746-40aa-ae72-f9454d10c4a6 · outbound

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Learning Neural Vocoder from Range-Null Space Decomposition Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:26:14.814197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c02338b9-6ce0-4fd2-9a2e-ba1f757c2936 · outbound

This paper cites LPCNet: Improving neural speech synthesis through linear prediction.

Learning Neural Vocoder from Range-Null Space Decomposition LPCNet: Improving neural speech synthesis through linear prediction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.780969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e735a85-a8e8-40af-9536-9e7f934f0a41 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Learning Neural Vocoder from Range-Null Space Decomposition WaveNet: A Generative Model for Raw Audio

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T13:26:14.524371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4eaca61-184b-4540-b0b8-0d108e7ebedc · outbound

This paper cites Tacotron: Towards End-to-End Speech Synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Tacotron: Towards End-to-End Speech Synthesis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.764096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19d96469-630a-42c4-b449-a525ea37f188 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders.

Learning Neural Vocoder from Range-Null Space Decomposition Convnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.748599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 56e9fa36-1b74-4b95-a75b-93e52e920a91 · outbound

This paper cites Parallel WaveGAN: A fast wave- form generation model based on generative adversarial networks with multi-resolution spectrogram.

Learning Neural Vocoder from Range-Null Space Decomposition Parallel WaveGAN: A fast wave- form generation model based on generative adversarial networks with multi-resolution spectrogram

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.733514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bee3090b-e9ee-4ac8-9c42-95c059db380e · outbound

This paper cites High Fidelity Speech En- hancement with Band-split RNN.

Learning Neural Vocoder from Range-Null Space Decomposition High Fidelity Speech En- hancement with Band-split RNN

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.716464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6219f26f-3763-42a3-9a04-d45efe7a068a · outbound

This paper cites LibriTTS: A Corpus Derived from Lib- riSpeech for Text-to-Speech.

Learning Neural Vocoder from Range-Null Space Decomposition LibriTTS: A Corpus Derived from Lib- riSpeech for Text-to-Speech

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.701523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5cbe7fa0-d40f-4fd4-a362-8547611e3d4a · outbound

This paper cites Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR.

Learning Neural Vocoder from Range-Null Space Decomposition Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:26:14.595014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9180933e-9032-4091-980f-3582f17e9b64 · outbound

This paper cites Melgan: Generative adversarial networks for conditional waveform synthesis.Proc.

Learning Neural Vocoder from Range-Null Space Decomposition Melgan: Generative adversarial networks for conditional waveform synthesis.Proc

Reference 1993

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.149618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 48ea0b8e-4437-4809-be1d-7198db1f380b · outbound

This paper cites V ocos: Closing the gap be- tween time-domain and fourier-based neural vocoders for high-quality audio synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition V ocos: Closing the gap be- tween time-domain and fourier-based neural vocoders for high-quality audio synthesis

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.797203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 44ffcc98-378c-4e92-82c1-dded0c60ff06 · outbound

This paper cites Keith and J.

Learning Neural Vocoder from Range-Null Space Decomposition Keith and J

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.245271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9214b87f-3ace-493f-a20b-2bdb34ddd1b6 · outbound

This paper cites WaveGrad: Estimating Gradients for Waveform Genera- tion.

Learning Neural Vocoder from Range-Null Space Decomposition WaveGrad: Estimating Gradients for Waveform Genera- tion

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.377208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7632655-3b72-4579-bb13-6d99b9fbbd0d · outbound

This paper cites Mel-cepstral distance measure for objective speech quality assessment.

Learning Neural Vocoder from Range-Null Space Decomposition Mel-cepstral distance measure for objective speech quality assessment

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.164396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 615bcfb2-c0a0-4347-bf14-4b310ab4afc8 · outbound

This paper cites ViSQOL: an objective speech quality model.EURASIP J.

Learning Neural Vocoder from Range-Null Space Decomposition ViSQOL: an objective speech quality model.EURASIP J

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.332665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 286438f5-dcfc-4ed9-b7ed-57126413a775 · outbound

This paper cites APNet2: High-Quality and High- Efficiency Neural Vocoder with Direct Prediction of Am- plitude and Phase Spectra.

Learning Neural Vocoder from Range-Null Space Decomposition APNet2: High-Quality and High- Efficiency Neural Vocoder with Direct Prediction of Am- plitude and Phase Spectra

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.362629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b44f548-57aa-4d3a-b3b4-8525f4ec27f4 · outbound

This paper cites [Kimet al., 2019 ] Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, and Sungroh Yoon.

Learning Neural Vocoder from Range-Null Space Decomposition [Kimet al., 2019 ] Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, and Sungroh Yoon

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.229149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e46a1e77-e2d3-4044-9fab-1a7c080980b6 · outbound

This paper cites iSTFTNet: Fast and lightweight mel-spectrogram vocoder incorporating in- verse short-time fourier transform.

Learning Neural Vocoder from Range-Null Space Decomposition iSTFTNet: Fast and lightweight mel-spectrogram vocoder incorporating in- verse short-time fourier transform

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.275618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4b5890aa-399b-4dc1-832d-1089682cc077 · outbound

This paper cites Efficient neural au- dio synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition Efficient neural au- dio synthesis

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.289560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 615ade7c-885c-41ec-8754-fc34943567d3 · outbound

This paper cites DiffWave: A Versa- tile Diffusion Model for Audio Synthesis.

Learning Neural Vocoder from Range-Null Space Decomposition DiffWave: A Versa- tile Diffusion Model for Audio Synthesis

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.196070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 23e2622d-a707-42fe-96ad-ba08d18a3ca0 · outbound

This paper cites Density estimation using Real NVP.

Learning Neural Vocoder from Range-Null Space Decomposition Density estimation using Real NVP

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T13:26:14.363676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1808a940-63fa-4bd0-9792-be2a381898b8 · outbound

This paper cites UnivNet: A neural Vocoder with Multi-resolution Spectrogram Discriminators for High-Fidelity Waveform Generation.

Learning Neural Vocoder from Range-Null Space Decomposition UnivNet: A neural Vocoder with Multi-resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.317886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 690da11f-1571-4d93-bb17-0950ca3dbbed · outbound

This paper cites Avocodo: Generative adversarial network for artifact-free vocoder.

Learning Neural Vocoder from Range-Null Space Decomposition Avocodo: Generative adversarial network for artifact-free vocoder

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.407539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0da049be-952e-4f80-9531-ffaa0ef2afad · outbound

This paper cites World: a vocoder-based high-quality speech synthesis system for real-time applications.IEICE Trans Inf Syst, 99(7):1877–1884,.

Learning Neural Vocoder from Range-Null Space Decomposition World: a vocoder-based high-quality speech synthesis system for real-time applications.IEICE Trans Inf Syst, 99(7):1877–1884,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:14.916501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6c414623-3bbb-4f55-9e3c-df4816ee1a94 · outbound

This paper cites AudioLDM: Text-to-Audio Genera- tion with Latent Diffusion Models.

Learning Neural Vocoder from Range-Null Space Decomposition AudioLDM: Text-to-Audio Genera- tion with Latent Diffusion Models

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:26:15.073733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.