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Paper Citation Record · LEDGER

Next Tokens Denoising for Speech Synthesis

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.22746.

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

pith.paper-citation-record.v1
2507.22746 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:22:27.950994Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

36 of 36 outbound references displayed

  • verified exact5
  • verified fuzzy1
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6229081c-1426-49c8-90a8-da36704ba759 · outbound

This paper cites Better speech synthesis through scaling.

Next Tokens Denoising for Speech Synthesis Better speech synthesis through scaling

Reference 1

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source=pdf_text observed=2026-08-06T11:22:25.341706Z digest=sha256:c474d56de246e19d860b517686af779c2f0e4724cfbc539cef4f98a5ab363339

Observation 3b306d4d-dbb8-43b9-b58d-7acdf6d27af1 · outbound

This paper cites High Fidelity Neural Audio Compression.

Next Tokens Denoising for Speech Synthesis High Fidelity Neural Audio Compression

Reference 5

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source=pdf_text observed=2026-08-06T11:22:25.630747Z digest=sha256:d3af81e276ce96818333c04f7da853dbb6f574d7178e20d12ba6e52a8367d0d2

Observation 4c112359-d552-43bb-9d01-693ec47a680d · outbound

This paper cites Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback.

Next Tokens Denoising for Speech Synthesis Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback

Reference 8

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source=pdf_text observed=2026-08-06T11:22:25.922271Z digest=sha256:33a8cae0c009d27ce81b09add35753db85c69c7892a6ce9f69963b37ca7d0d0b

Observation 3265b4f7-b4a9-463f-9301-ac12a400f9da · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Next Tokens Denoising for Speech Synthesis Mean Flows for One-step Generative Modeling

Reference 9

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source=pdf_text observed=2026-08-06T11:22:25.951018Z digest=sha256:862eeb8df4057be425b763e0fdcf2c9714d203071910d727bc8feb04efc6ad69

Observation ce0731a6-61e7-4eb0-bc97-2580a1e39188 · outbound

This paper cites Ditar: Diffusion transformer autoregressive modeling for speech generation.

Next Tokens Denoising for Speech Synthesis Ditar: Diffusion transformer autoregressive modeling for speech generation

Reference 11

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source=pdf_text observed=2026-08-06T11:22:26.029534Z digest=sha256:25db8d85b11612551eefcc94a533c2d380c9c81919d46977b0b970e3692f7643

Observation 42b581fd-1e21-41bf-b2d1-564f140f6444 · outbound

This paper cites NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

Next Tokens Denoising for Speech Synthesis NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 12

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source=pdf_text observed=2026-08-06T11:22:26.095836Z digest=sha256:60a2cee13f8da37e67f4bedb8a9636129ce4b11236730533f1ee7094d180ded1

Observation a5fa5a1c-84dd-47af-8e12-f28339bbaec8 · outbound

This paper cites Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like.

Next Tokens Denoising for Speech Synthesis Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

Reference 13

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source=pdf_text observed=2026-08-06T11:22:26.208323Z digest=sha256:325b442061e0e8558074a8a39659543f2f9617f5feb729936cf81087b6886648

Observation aa2df25a-9a0d-4912-8631-37d282ff4376 · outbound

This paper cites istftnet: Fast and lightweight mel-spectrogram vocoder incorporating inverse short-time fourier transform.

Next Tokens Denoising for Speech Synthesis istftnet: Fast and lightweight mel-spectrogram vocoder incorporating inverse short-time fourier transform

Reference 14

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raw_fallback, observed 2026-08-06T11:22:29.105049Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T11:22:26.324190Z digest=sha256:b810ca381976588ad8000298755a07202fac001c7b580a94e328f03c868ea39d

Observation 16933749-f487-4e28-8067-c097a54726a6 · outbound

This paper cites Understanding DDPM Latent Codes Through Optimal Transport.

Next Tokens Denoising for Speech Synthesis Understanding DDPM Latent Codes Through Optimal Transport

Reference 15

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source=pdf_text observed=2026-08-06T11:22:26.402690Z digest=sha256:71fe203033d5e0be4ba1dfc912d3aa1ea3550409a63f43ca39e072a93e936e90

Observation 3763f71c-b841-4b96-8274-d7fe01dee4d1 · outbound

This paper cites PromptTTS 2: Describing and Generating Voices with Text Prompt.

Next Tokens Denoising for Speech Synthesis PromptTTS 2: Describing and Generating Voices with Text Prompt

Reference 16

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source=pdf_text observed=2026-08-06T11:22:26.482050Z digest=sha256:f84bd7c5c63e5ce02a5f3b6087306fdf36001f59503283f7383e2717071eeb72

Observation 2d8b244c-560b-408d-a460-e5e525c30581 · outbound

This paper cites Investigating Neural Audio Codecs for Speech Language Model-Based Speech Generation.

Next Tokens Denoising for Speech Synthesis Investigating Neural Audio Codecs for Speech Language Model-Based Speech Generation

Reference 17

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source=pdf_text observed=2026-08-06T11:22:26.545205Z digest=sha256:1dc1a1a420d85ce01726c810023f32771ccbec4dffa5b9c7929d247e48217616

Observation 1877fbd7-3822-4a5d-95c0-d4b452f46c9f · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Next Tokens Denoising for Speech Synthesis Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 19

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source=pdf_text observed=2026-08-06T11:22:26.665411Z digest=sha256:69deb21469bb247660bfd57d9e81645ad6f849324ddd5ce15c582264749e19b5

Observation 5c6132fe-1c44-4db0-a7a9-dc422b4ccf88 · outbound

This paper cites DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders.

Next Tokens Denoising for Speech Synthesis DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders

Reference 20

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local_arxiv, observed 2026-08-06T11:22:28.570689Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T11:22:26.737905Z digest=sha256:0be5e511e410840aef70024df0cc764608f23ac25b87986fe9e41540b09273f5

Observation d3549354-974d-4d53-b100-5142f17f4f53 · outbound

This paper cites Autoregressive Speech Synthesis without Vector Quantization.

Next Tokens Denoising for Speech Synthesis Autoregressive Speech Synthesis without Vector Quantization

Reference 21

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source=pdf_text observed=2026-08-06T11:22:26.796662Z digest=sha256:1ee310384added6d1da1ae8b62690e5f901f156993366c52c2af2bdffb89a9f3

Observation d4b868e7-0546-4ed3-be84-a08794a3fc41 · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Next Tokens Denoising for Speech Synthesis Finite Scalar Quantization: VQ-VAE Made Simple

Reference 22

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source=pdf_text observed=2026-08-06T11:22:26.883167Z digest=sha256:7fe9d587ff38fe7d46d7990bc430e7dba0144916399099174f1d67de3eb5f031

Observation f01925d6-4100-4867-b4ef-5eb009bfc73c · outbound

This paper cites Scaling Transformers for Low-Bitrate High-Quality Speech Coding.

Next Tokens Denoising for Speech Synthesis Scaling Transformers for Low-Bitrate High-Quality Speech Coding

Reference 23

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source=pdf_text observed=2026-08-06T11:22:26.987973Z digest=sha256:4022c9ea65b8dead9bd947141a0e44cdee78f5bf3c57407b1b4e5f0e8f98c828

Observation d123e31a-3705-44d4-864b-225d16ba3970 · outbound

This paper cites Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion.

Next Tokens Denoising for Speech Synthesis Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion

Reference 24

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source=pdf_text observed=2026-08-06T11:22:27.053403Z digest=sha256:252d95c5dfa160c3a2f361c26cd53283e5bc526acf28b089e324de7e7a0afc34

Observation faba2588-9e08-487e-b264-81415b3455e9 · outbound

This paper cites NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.

Next Tokens Denoising for Speech Synthesis NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Reference 25

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source=pdf_text observed=2026-08-06T11:22:27.121148Z digest=sha256:d8a0bd9263d89fb248c1e12b5e70a8ee07eab460ebce5bfb4e77b7d9b0455fa1

Observation 4706dce0-0b29-472a-80c5-38080d13a8c1 · outbound

This paper cites Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling.

Next Tokens Denoising for Speech Synthesis Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling

Reference 26

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local_arxiv, observed 2026-08-06T11:22:28.411634Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T11:22:27.182862Z digest=sha256:c29da22da713869db14ce73bf230dedee42a5d200479ff27eb9c937df783b6e3

Observation d503ec9f-d481-4f10-aab6-d5a8b36a0787 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Next Tokens Denoising for Speech Synthesis Gemini: A Family of Highly Capable Multimodal Models

Reference 27

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source=pdf_text observed=2026-08-06T11:22:27.280963Z digest=sha256:e244c7756e4137e13c0f84a0a8312f175801140440fb2b8e9d477f93fa9ff151

Observation 7001ad77-5a82-47ef-a1b7-01fb19ad16d9 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Next Tokens Denoising for Speech Synthesis Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 28

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source=pdf_text observed=2026-08-06T11:22:27.357575Z digest=sha256:3f6af9b879d5bea0a6ca66789e2dd5996538c174e1c796d6bf6bdef9e9c37f0c

Observation efbba303-682e-4bdb-9678-fe4e6a456f05 · outbound

This paper cites FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow Matching.

Next Tokens Denoising for Speech Synthesis FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow Matching

Reference 30

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source=pdf_text observed=2026-08-06T11:22:27.493156Z digest=sha256:a06a01d43cc4417cbb4fca034d6980742acf71d5058fab35f4c48dd844944cd2

Observation b2a6f30a-9185-4d39-bc60-d608c1c65b1c · outbound

This paper cites Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis.

Next Tokens Denoising for Speech Synthesis Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis

Reference 31

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source=pdf_text observed=2026-08-06T11:22:27.528989Z digest=sha256:1fb7645b9a64aa47ec222989244a25324932a7db5a19862038b0214f6861af21

Observation f3d6bb98-fc36-488c-8faf-0489bb1a1767 · outbound

This paper cites Lumos-1: On autoregressive video generation from a unified model perspective.

Next Tokens Denoising for Speech Synthesis Lumos-1: On autoregressive video generation from a unified model perspective

Reference 32

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source=pdf_text observed=2026-08-06T11:22:27.625768Z digest=sha256:28c76f5c9b194c6d3bca2c01f870231780a49fae67bee7d2e2fc67af19ef9ebe

Observation 57703305-fd3c-4bd1-8837-dd90a5334c5e · outbound

This paper cites Continuous Speech Tokens Makes LLMs Robust Multi-Modality Learners.

Next Tokens Denoising for Speech Synthesis Continuous Speech Tokens Makes LLMs Robust Multi-Modality Learners

Reference 33

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source=pdf_text observed=2026-08-06T11:22:27.693175Z digest=sha256:f1729e16bd71abbdc4454ccfe09246726845a0035ffaa592f4771ee655b63e43

Observation 12782ae2-731c-4d75-bc15-cfd92c294d8f · outbound

This paper cites Boosting Diffusion Model for Spectrogram Up-sampling in Text-to-speech: An Empirical Study.

Next Tokens Denoising for Speech Synthesis Boosting Diffusion Model for Spectrogram Up-sampling in Text-to-speech: An Empirical Study

Reference 34

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local_arxiv, observed 2026-08-06T11:22:28.145958Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T11:22:27.789945Z digest=sha256:6aa125503e987b6c54a2ed36f5e0b941e734067874eaa00cb5d58f7f7e847ec7

Observation 53ce42bb-f56c-4f05-b7e7-2ad9bf1494fd · outbound

This paper cites Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech.

Next Tokens Denoising for Speech Synthesis Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech

Reference 35

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source=pdf_text observed=2026-08-06T11:22:27.883606Z digest=sha256:cadd760583b1edaa875cc786ccba53279030a655590eea6ef06229bcb00fce9b

Observation d4517a79-8173-4f65-8551-ffcd886f9f98 · outbound

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

Next Tokens Denoising for Speech Synthesis Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

Reference 36

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source=pdf_text observed=2026-08-06T11:22:27.950994Z digest=sha256:063693dd82ae3ded9755483985894f0458a2e7df8d79af8450c252b35b08af0c

Observation 2e844282-1ca3-4230-b734-949e062f358f · outbound

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

Next Tokens Denoising for Speech Synthesis Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 2017

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source=pdf_text observed=2026-08-06T11:22:27.428195Z digest=sha256:286943086508f46cc6c568354d38029ada6543a50b316f464a73b267bc873e92

Observation ebfe630b-423b-4645-a172-64b64bff40ab · outbound

This paper cites MoBoAligner: a Neural Alignment Model for Non-autoregressive TTS with Monotonic Boundary Search.

Next Tokens Denoising for Speech Synthesis MoBoAligner: a Neural Alignment Model for Non-autoregressive TTS with Monotonic Boundary Search

Reference 2019

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verified exact
local_arxiv, observed 2026-08-06T11:22:28.701598Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T11:22:26.621996Z digest=sha256:10d6755f83d9f3a4b06b8a99ffb241ca0bf5985659e7b7bea0f8a7fc6ec5bd87

Observation d8d21cbe-36a0-4a83-ae5c-37f0360f7ef3 · outbound

This paper cites AdaSpeech: Adaptive Text to Speech for Custom Voice.

Next Tokens Denoising for Speech Synthesis AdaSpeech: Adaptive Text to Speech for Custom Voice

Reference 2020

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source=pdf_text observed=2026-08-06T11:22:25.496315Z digest=sha256:be7cf463db71c3e397ee549e0c6624879a580921a8bcc45f9fe5f777a98e0733

Observation 0c650765-46aa-4e7f-868f-ebc596c3d331 · outbound

This paper cites VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers.

Next Tokens Denoising for Speech Synthesis VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers

Reference 2021

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source=pdf_text observed=2026-08-06T11:22:25.548417Z digest=sha256:d2b7cb6db6f657ea585a15f5f1fde20304b045927a341e00ba79c2a82e3eab5a

Observation 572e330a-4104-4d2b-b35e-f211c1787355 · outbound

This paper cites E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS.

Next Tokens Denoising for Speech Synthesis E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS

Reference 2022

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source=pdf_text observed=2026-08-06T11:22:25.706245Z digest=sha256:6ff87c14ebe041ac0b61e2e9b3b5635c8330d65fdcbe0dd2f02138e10014e962

Observation 9e9ba83c-6772-4838-9f60-dc93aea1ba61 · outbound

This paper cites Language models are few-shot learners.

Next Tokens Denoising for Speech Synthesis Language models are few-shot learners

Reference 2023

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source=pdf_text observed=2026-08-06T11:22:25.418317Z digest=sha256:19697cbc18e7830e49d53b868ecc91621226c50378da0823060539acb2ebe70b

Observation 68f10129-0acc-4fc5-a3d2-d6a4e1b0060c · outbound

This paper cites One Step Diffusion via Shortcut Models.

Next Tokens Denoising for Speech Synthesis One Step Diffusion via Shortcut Models

Reference 2024

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source=pdf_text observed=2026-08-06T11:22:25.814243Z digest=sha256:35e55f20c190d552fa323b540776ab56f860c8ca6d89cac3e862c541d37996fe

Observation 0b58e0cd-015b-4b9c-a206-ecd55188d95f · outbound

This paper cites VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment.

Next Tokens Denoising for Speech Synthesis VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment

Reference 2025

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source=pdf_text observed=2026-08-06T11:22:25.974745Z digest=sha256:c2df932f8a7a1ddd82907907cec9c91c7441e51e70f7752bf1421c975582abfa

Pith citing papers

No inbound Pith citation observations are available.