Paper Citation Record · LEDGER

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.12570.

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

pith.paper-citation-record.v1
2506.12570 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:04.191022Z

measured 35 of 35 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 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

35 of 35 outbound references displayed

verified exact0
verified fuzzy23
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf49560b-b22b-4a55-bc8b-a52da9d87aef · outbound

This paper cites GPT-4 Technical Report.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:01.571286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca8a2f3-7387-45e2-9b6f-e2b86e6e457e · outbound

This paper cites Audiolm: A language modeling approach to audio generation,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Audiolm: A language modeling approach to audio generation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:07.859576Z

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 f2786bbc-8f4c-4d59-89ae-3d62f6eb06f4 · outbound

This paper cites Flow matching for generative modeling,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Flow matching for generative modeling,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:01.712370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09327ca5-7b3b-4ede-a6c2-08250ab64b36 · outbound

This paper cites Denoising diffusion probabilistic models,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Denoising diffusion probabilistic models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:01.782086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b570ac72-c91a-4522-928a-e9ceca604e5f · outbound

This paper cites Neural codec language models are zero-shot text to speech synthesizers,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Neural codec language models are zero-shot text to speech synthesizers,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:01.901321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b91231-a431-4427-b361-ebbc14d04113 · outbound

This paper cites V ALL-E 2: Neural codec language models are human parity zero-shot text to speech synthesizers,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling V ALL-E 2: Neural codec language models are human parity zero-shot text to speech synthesizers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:07.616899Z

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 15a4defa-8156-4b3a-902d-49cd85587af8 · outbound

This paper cites CosyV oice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic to- kens,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling CosyV oice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic to- kens,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:07.417375Z

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 b9089ddd-2bd8-46f9-94c8-a6a0b10a4ec5 · outbound

This paper cites Seed-TTS: A family of high- quality versatile speech generation models,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Seed-TTS: A family of high- quality versatile speech generation models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:07.317431Z

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 8bfc3e62-250f-40b5-b08d-a9fb8af1b6eb · outbound

This paper cites CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:02.203070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4cf7c7-35da-4e8f-be7a-fe8607cfd06e · outbound

This paper cites Pseudo-autoregressive neural codec language models for efficient zero-shot text-to-speech synthesis,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Pseudo-autoregressive neural codec language models for efficient zero-shot text-to-speech synthesis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:07.129504Z

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 604d4ff9-0d40-492c-a316-7f8b8ab3404e · outbound

This paper cites Autoregressive speech synthesis without vector quantization,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Autoregressive speech synthesis without vector quantization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.990494Z

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 d6f696a4-cffe-4f11-ae11-587f4073529b · outbound

This paper cites Cosyvoice 2: Scalable streaming speech synthesis with large language models,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Cosyvoice 2: Scalable streaming speech synthesis with large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.879628Z

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 412ef6ee-0c2f-4a1f-b7b2-7d5c4a68b520 · outbound

This paper cites Interleaved speech-text language models are simple streaming text to speech synthesizers,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Interleaved speech-text language models are simple streaming text to speech synthesizers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.747229Z

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 ad5cbb77-9e8e-4f73-ad1a-344020d4bdf4 · outbound

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

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:02.492729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 254d6ae7-804d-420e-bdcc-a5b0db8c718d · outbound

This paper cites Syncspeech: Low-latency and efficient dual-stream text-to-speech based on temporal masked transformer,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Syncspeech: Low-latency and efficient dual-stream text-to-speech based on temporal masked transformer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.604284Z

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 8d3e0bf1-4ff6-4c04-8ce3-36988ce854e1 · outbound

This paper cites Discrete audio representation as an alternative to mel-spectrograms for speaker and speech recognition,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Discrete audio representation as an alternative to mel-spectrograms for speaker and speech recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.522611Z

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 72d6443a-abea-45aa-87b7-dbf0dd6e7ea1 · outbound

This paper cites Autoregressive diffusion transformer for text-to-speech synthesis,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Autoregressive diffusion transformer for text-to-speech synthesis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.344259Z

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 7b78f69d-f61f-4bc9-87f5-6da2c7246e5b · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Autoregressive Image Generation without Vector Quantization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:02.719163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67d72c9a-6b5f-4763-8b44-4b5490c36bdc · outbound

This paper cites FELLE: autoregressive speech synthesis with token-wise coarse-to-fine flow matching,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling FELLE: autoregressive speech synthesis with token-wise coarse-to-fine flow matching,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.224882Z

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 4c47da4f-c6a1-4481-95c1-2ef253ecaca8 · outbound

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

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Ditar: Diffusion transformer autoregressive modeling for speech generation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:02.873718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ccc01f-48dc-49d0-91d7-a45a98b8938b · outbound

This paper cites Auto-encoding variational bayes,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Auto-encoding variational bayes,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:02.939608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7082f2ce-2d21-48db-abde-1422f8f5d842 · outbound

This paper cites Tacotron: Towards end- to-end speech synthesis,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Tacotron: Towards end- to-end speech synthesis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:06.061420Z

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 99733192-e98e-40c2-9b61-e859f987b52d · outbound

This paper cites Librispeech: an ASR corpus based on public domain audio books,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Librispeech: an ASR corpus based on public domain audio books,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.895076Z

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 1e041d1c-da61-40fa-b08a-35a0d788755a · outbound

This paper cites V ALL-E R: robust and efficient zero-shot text-to-speech synthesis via monotonic alignment,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling V ALL-E R: robust and efficient zero-shot text-to-speech synthesis via monotonic alignment,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.762832Z

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 6d419976-a6ed-4cf3-9dd7-97606372ab49 · outbound

This paper cites F5-TTS: A fairytaler that fakes fluent and faithful speech with flow matching,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling F5-TTS: A fairytaler that fakes fluent and faithful speech with flow matching,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.621674Z

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 f6a18580-b41c-42af-b442-e71d1614e80c · outbound

This paper cites MaskGCT: Zero-shot text-to-speech with masked generative codec transformer,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling MaskGCT: Zero-shot text-to-speech with masked generative codec transformer,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.442194Z

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 7afb6a5c-1d16-46c5-9b28-d3f2c1bd98c9 · outbound

This paper cites Ramp: Retrieval-augmented mos prediction via confidence-based dynamic weighting,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Ramp: Retrieval-augmented mos prediction via confidence-based dynamic weighting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.327200Z

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 462c7a9a-7137-421b-829c-2e2aaa8cb3ec · outbound

This paper cites Ramp+: Retrieval-augmented mos prediction with prior knowledge integration,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Ramp+: Retrieval-augmented mos prediction with prior knowledge integration,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.232775Z

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 7d1701fd-bfef-49fa-abcc-e7495a5d0181 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:03.732161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 204c52a3-173f-43c0-a320-2e4a4bc4181b · outbound

This paper cites HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.107680Z

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 ef7dbf33-7411-4e07-87b9-bc4450a22762 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Robust Speech Recognition via Large-Scale Weak Supervision

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:03.933734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50132868-6da2-4174-9ba8-8a8d3b9a67df · outbound

This paper cites WavLM: Large-scale self-supervised pre-training for full stack speech processing,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:05.018828Z

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 63c65484-ae4f-4ce4-80a1-aa28b396b6c3 · outbound

This paper cites Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:04.863237Z

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 68ed7cca-35c7-4bf2-bf63-e61243bf22fc · outbound

This paper cites Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:52:04.682115Z

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 2f204fc6-c3d9-4824-bc3b-a67581bde4cc · outbound

This paper cites Interleaved Speech-Text Language Models for Simple Streaming Text-to-Speech Synthesis.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Interleaved Speech-Text Language Models for Simple Streaming Text-to-Speech Synthesis

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:52:04.503082Z

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.

Pith citing papers

No inbound Pith citation observations are available.