Paper Citation Record · LEDGER

Factorized RVQ-GAN For Disentangled Speech Tokenization

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2506.15456.

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

pith.paper-citation-record.v1
2506.15456 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:39:29.000932Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:39:28.911720Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T19:39:29.056834Z

Reference resolution

28 of 28 outbound references displayed

verified exact2
verified fuzzy21
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17acfd32-4fc5-4f28-8271-d3a621c456be · outbound

This paper cites hj/iAePKhU/wEzYUdFoprleUHDo=.

Factorized RVQ-GAN For Disentangled Speech Tokenization hj/iAePKhU/wEzYUdFoprleUHDo=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.309084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 823089f8-397a-4d80-bc32-da4d5adb1c7f · outbound

This paper cites Factorized RVQ-GAN For Disentangled Speech Tokenization.

Factorized RVQ-GAN For Disentangled Speech Tokenization Factorized RVQ-GAN For Disentangled Speech Tokenization

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:39:29.060642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb2ef3d0-6154-4f9b-a418-cb28c846f132 · outbound

This paper cites These objectives are described in detail in [3].

Factorized RVQ-GAN For Disentangled Speech Tokenization These objectives are described in detail in [3]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.298909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31996334-126a-4d2c-b4bb-afacd1786516 · outbound

This paper cites For evaluation, we use forced-aligned test sets from Lib- riSpeech and Multilingual LibriSpeech (MLS) [16].

Factorized RVQ-GAN For Disentangled Speech Tokenization For evaluation, we use forced-aligned test sets from Lib- riSpeech and Multilingual LibriSpeech (MLS) [16]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.288543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00a7ef10-7418-4ed1-a9c0-6f8c5c70c131 · outbound

This paper cites Like Encodec, ST updates its codebooks via exponential moving average (EMA) and period- ically re-initializes them to maximize utilization.

Factorized RVQ-GAN For Disentangled Speech Tokenization Like Encodec, ST updates its codebooks via exponential moving average (EMA) and period- ically re-initializes them to maximize utilization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.278477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ee2ae7a-eb97-48a4-8209-433f13449f20 · outbound

This paper cites an unresolved cited work.

Factorized RVQ-GAN For Disentangled Speech Tokenization Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:39:29.268132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53396364-a75e-4635-a4c2-25d8c352b34f · outbound

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

Factorized RVQ-GAN For Disentangled Speech Tokenization SoundStream: An end-to-end neural audio codec,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:39:28.929045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc4daf8-cc26-4a67-8223-e769b22e9268 · outbound

This paper cites High fidelity neural audio compression,.

Factorized RVQ-GAN For Disentangled Speech Tokenization High fidelity neural audio compression,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:39:28.932410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 264a4ccb-060b-49f4-9e57-3b2c51b88bd8 · outbound

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

Factorized RVQ-GAN For Disentangled Speech Tokenization High-fidelity audio compression with improved RVQGAN,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.245002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 652621fa-0f61-442d-b083-36592251ef83 · outbound

This paper cites ESPnet-Codec: Com- prehensive training and evaluation of neural codecs for audio, mu- sic, and speech,.

Factorized RVQ-GAN For Disentangled Speech Tokenization ESPnet-Codec: Com- prehensive training and evaluation of neural codecs for audio, mu- sic, and speech,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.235174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45e8e3c6-cfb3-4c09-9b28-a6c3bcdb3bb6 · outbound

This paper cites AudioLM: a language modeling approach to audio gener- ation,.

Factorized RVQ-GAN For Disentangled Speech Tokenization AudioLM: a language modeling approach to audio gener- ation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.225363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8508c9a3-4bb6-4af4-9a49-a9725cf96e99 · outbound

This paper cites Direct speech-to-speech translation with discrete units,.

Factorized RVQ-GAN For Disentangled Speech Tokenization Direct speech-to-speech translation with discrete units,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.214728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0b72eda-3e21-4b8b-b60e-862d2cb91473 · outbound

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

Factorized RVQ-GAN For Disentangled Speech Tokenization Neural codec language models are zero-shot text to speech synthesizers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.204716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0d91740-e2c2-4c09-92f9-8f502c7fdc80 · outbound

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

Factorized RVQ-GAN For Disentangled Speech Tokenization HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.194460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9573b92a-6efc-4b33-bfd7-86b9ae562824 · outbound

This paper cites Exploring speech recognition, translation, and understanding with discrete speech units: A com- parative study,.

Factorized RVQ-GAN For Disentangled Speech Tokenization Exploring speech recognition, translation, and understanding with discrete speech units: A com- parative study,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.182883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd9498f8-6315-40f6-8fc0-77a6bc9a23cf · outbound

This paper cites On generative spoken language modeling from raw audio,.

Factorized RVQ-GAN For Disentangled Speech Tokenization On generative spoken language modeling from raw audio,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.172175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 60d3c19e-cfbb-4a10-a5fd-0fb54671810f · outbound

This paper cites SpeechTok- enizer: Unified speech tokenizer for speech large language mod- els,.

Factorized RVQ-GAN For Disentangled Speech Tokenization SpeechTok- enizer: Unified speech tokenizer for speech large language mod- els,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.161492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a98dcb61-4645-47d9-9cdb-163c652fd600 · outbound

This paper cites Language-agnostic BERT sentence embedding,.

Factorized RVQ-GAN For Disentangled Speech Tokenization Language-agnostic BERT sentence embedding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.151363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9aec702-8656-4623-a236-301a20c4a995 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,.

Factorized RVQ-GAN For Disentangled Speech Tokenization wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.141514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08353250-3506-4b29-a868-7d5fe339a811 · outbound

This paper cites Lib- rispeech: An asr corpus based on public domain audio books,.

Factorized RVQ-GAN For Disentangled Speech Tokenization Lib- rispeech: An asr corpus based on public domain audio books,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:39:28.974547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40a318f-ce4a-447b-b217-951b2ebc052f · outbound

This paper cites V oxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,.

Factorized RVQ-GAN For Disentangled Speech Tokenization V oxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.124787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39bb37a1-b3a3-4fae-9eae-c7edf779f8fd · outbound

This paper cites MLS: A large-scale multilingual dataset for speech research,.

Factorized RVQ-GAN For Disentangled Speech Tokenization MLS: A large-scale multilingual dataset for speech research,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.113947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ddbe758-26de-41da-a50c-1093baa7f9e3 · outbound

This paper cites Montreal Forced Aligner: Trainable text-speech align- ment using Kaldi,.

Factorized RVQ-GAN For Disentangled Speech Tokenization Montreal Forced Aligner: Trainable text-speech align- ment using Kaldi,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.102343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86d4e17d-e9f0-42a3-92c4-72ce2bb145dc · outbound

This paper cites mHuBERT-147: A Compact Multilingual HuBERT Model.

Factorized RVQ-GAN For Disentangled Speech Tokenization mHuBERT-147: A Compact Multilingual HuBERT Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:39:28.987701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d28b839-019e-4593-8f9b-71982ed02adb · outbound

This paper cites SAMU-XLSR: Semantically-aligned multimodal utterance-level cross-lingual speech representation,.

Factorized RVQ-GAN For Disentangled Speech Tokenization SAMU-XLSR: Semantically-aligned multimodal utterance-level cross-lingual speech representation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.091922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d202429-7ec0-4460-a16d-f29f6638cf41 · outbound

This paper cites Abx-discriminability measures and applications,.

Factorized RVQ-GAN For Disentangled Speech Tokenization Abx-discriminability measures and applications,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.081374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3fd29c5-089d-4b1a-80f5-045b128a1dad · outbound

This paper cites The Zero Resource Speech Challenge 2021: Spoken language modelling.

Factorized RVQ-GAN For Disentangled Speech Tokenization The Zero Resource Speech Challenge 2021: Spoken language modelling

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:39:29.036877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19e21dc0-11c0-4e8d-a43c-a9fe40114560 · outbound

This paper cites Learning hierarchical dis- crete linguistic units from visually-grounded speech,.

Factorized RVQ-GAN For Disentangled Speech Tokenization Learning hierarchical dis- crete linguistic units from visually-grounded speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:39:29.071255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 823089f8-397a-4d80-bc32-da4d5adb1c7f · inbound