Paper Citation Record · LEDGER

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2303.13336.

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

pith.paper-citation-record.v1
2303.13336 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:10:02.504068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:20:07.950402Z

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 c57031df-7dd5-4e0b-8e73-f699b9d5cf01 · inbound

SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops cites this paper.

SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T21:10:02.504068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation decb9ae9-765b-439a-8be8-2b9f73f8a154 · inbound

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences cites this paper.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:58.845200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba40f52d-e387-48a7-9d1b-dcec9d791bdd · inbound

UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching cites this paper.

UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:45:19.307090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6b3a6c-29f5-478f-83a8-d6b4cdc25168 · inbound

The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis cites this paper.

The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:40.247061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb366e9-50f0-4711-99f6-962014b3a2e2 · inbound

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation cites this paper.

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:57:18.263678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605f7043-c24c-42d9-82e5-de471472d079 · inbound

Marco-Voice Technical Report cites this paper.

Marco-Voice Technical Report A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T05:17:06.655722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4712f20-4b91-46b7-81db-1de49dcf08e2 · inbound

Permutation-Invariant Spectral Learning via Dyson Diffusion cites this paper.

Permutation-Invariant Spectral Learning via Dyson Diffusion A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T10:49:26.632802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f121603c-f82c-4356-bc00-ee365d68637c · inbound

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs cites this paper.

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:02.720588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e561caa1-c2cb-4966-adf2-af054f964a90 · inbound

Grokking of Diffusion Models: Case Study on Modular Addition cites this paper.

Grokking of Diffusion Models: Case Study on Modular Addition A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:56:47.869487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9d300d0-be12-4912-819b-708ed15ab9dc · inbound

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges cites this paper.

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:46:01.259983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94a39d1e-6cab-447d-8a3e-e1ea1d83cc1b · inbound

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges cites this paper.

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:12:28.683468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea88926b-e53f-435c-8d21-638ff2aa0b9c · inbound

Inverse Design for Conditional Distribution Matching cites this paper.

Inverse Design for Conditional Distribution Matching A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:56:29.547249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3af78a66-4dca-439b-a3ff-dd229d8d4773 · inbound

T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining cites this paper.

T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:52:35.108279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62e40a7a-ec40-46d4-98a8-9300c21c4415 · inbound

Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS cites this paper.

Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:20:07.953940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.