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Paper Citation Record · LEDGER

Universal Preference-Score-based Pairwise Speech Quality Assessment

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.01455.

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

pith.paper-citation-record.v1
2506.01455 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:48:47.579811Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:48:45.044629Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:48:48.072916Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy20
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f896ac61-a60d-44a7-b205-a226e45563e1 · outbound

This paper cites Participants are asked to listen to the speech samples to be evaluated and rate one or more samples based on specific criteria.

Universal Preference-Score-based Pairwise Speech Quality Assessment Participants are asked to listen to the speech samples to be evaluated and rate one or more samples based on specific criteria

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:52.489645Z

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.

source=pdf_text observed=2026-08-07T11:48:44.866557Z digest=sha256:a6f10d14868261658caae844e619263760ed007378a272c06ccaf5cf73d3997c

Observation d7c7ffb2-2e68-4348-b8d2-cc015428fbbe · outbound

This paper cites an unresolved cited work.

Universal Preference-Score-based Pairwise Speech Quality Assessment Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:48:52.182930Z

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.

source=pdf_text observed=2026-08-07T11:48:44.968049Z digest=sha256:e27e098299a91e7a29ca4d5aac8bd70c09e75b8c245a3a262f0d86922d5ffc2e

Observation 7d68a7a8-97eb-40c6-be18-2789b94f5e6b · outbound

This paper cites Universal Preference-Score-based Pairwise Speech Quality Assessment.

Universal Preference-Score-based Pairwise Speech Quality Assessment Universal Preference-Score-based Pairwise Speech Quality Assessment

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:48:48.195882Z

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.

source=pdf_text observed=2026-08-07T11:48:45.044629Z digest=sha256:175be30026e1b18fa2b297b9bf985e373b534b6ace7e6120971881eb1056405e

Observation 5ae2b4d0-54f5-455a-b212-d024910e8abc · outbound

This paper cites Comparison with Baselines Table 1 presents the in-domain experimental results across eight scenarios (i.e., two label conditions×four training-testing sce- narios).

Universal Preference-Score-based Pairwise Speech Quality Assessment Comparison with Baselines Table 1 presents the in-domain experimental results across eight scenarios (i.e., two label conditions×four training-testing sce- narios)

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:48:47.912459Z

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.

source=pdf_text observed=2026-08-07T11:48:45.424310Z digest=sha256:848afcd6de56906648a9f75d088d327476ea631be622ae12c129d80710418dd9

Observation 1d0d6a7c-f9d0-4357-88ae-34c04cf71636 · outbound

This paper cites Dataset We conducted experiments using two MOS datasets.

Universal Preference-Score-based Pairwise Speech Quality Assessment Dataset We conducted experiments using two MOS datasets

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:51.905490Z

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.

source=pdf_text observed=2026-08-07T11:48:45.328608Z digest=sha256:c764a2161d1a358a3566756cac93b2c794d526e133ccff72ad76b3ab52de248b

Observation 4caa39df-0906-4563-8abb-597bad9d50c9 · outbound

This paper cites When is it Better to Compare than to Score?.

Universal Preference-Score-based Pairwise Speech Quality Assessment When is it Better to Compare than to Score?

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:48:46.215084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:48:46.215084Z digest=sha256:09f770b9cf8dd989904549a15adedc3c062d3f71a192fd337f91e068b1f2d571

Observation 732fbf74-64bc-4faf-8f1c-d7492762d28b · outbound

This paper cites Nevertheless, the proposed UPPSQA still maintained stable performance, with accuracy higher than the baseline in most scenarios.

Universal Preference-Score-based Pairwise Speech Quality Assessment Nevertheless, the proposed UPPSQA still maintained stable performance, with accuracy higher than the baseline in most scenarios

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:51.750441Z

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.

source=pdf_text observed=2026-08-07T11:48:45.513354Z digest=sha256:976e3a1d82c0e3114594514bdd7fdef1505ce995d4c13cd610b91f628651df2f

Observation ff6a098f-00ad-442b-b95d-99a4ecba0bfe · outbound

This paper cites an unresolved cited work.

Universal Preference-Score-based Pairwise Speech Quality Assessment Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:48:51.585073Z

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.

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Observation 284525e3-cf42-43cf-b65c-eb48645c1892 · outbound

This paper cites MOSNet: Deep learning-based objec- tive assessment for voice conversion,.

Universal Preference-Score-based Pairwise Speech Quality Assessment MOSNet: Deep learning-based objec- tive assessment for voice conversion,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:51.353075Z

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.

source=pdf_text observed=2026-08-07T11:48:45.747764Z digest=sha256:815a59d22efc96c949ee89e404a5df423973ee2b48c7ba0164ebe0e574a69332

Observation c05308ef-bd5e-4809-8616-0f360815a319 · outbound

This paper cites LDNet: Unified listener dependent modeling in mos prediction for syn- thetic speech,.

Universal Preference-Score-based Pairwise Speech Quality Assessment LDNet: Unified listener dependent modeling in mos prediction for syn- thetic speech,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:51.157889Z

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.

source=pdf_text observed=2026-08-07T11:48:45.866277Z digest=sha256:7a579d56f3811414b4873d7e8690db7472a51cf0e04da96060e0efa314311d97

Observation d56d7c16-0ddc-4ae7-9806-f3cfb96aa8e1 · outbound

This paper cites Generaliza- tion ability of mos prediction networks,.

Universal Preference-Score-based Pairwise Speech Quality Assessment Generaliza- tion ability of mos prediction networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:50.985515Z

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.

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Observation 363ffd03-3913-4535-8e17-aa101051583b · outbound

This paper cites UTMOS: UTokyo-SaruLab system for V oice- MOS Challenge 2022,.

Universal Preference-Score-based Pairwise Speech Quality Assessment UTMOS: UTokyo-SaruLab system for V oice- MOS Challenge 2022,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:50.832615Z

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.

source=pdf_text observed=2026-08-07T11:48:46.053876Z digest=sha256:d28b52352609773cafa4d5177af51bc0d6f302a6c43f123af6ba579526895cc0

Observation 9b55ef36-db42-4e8a-bb2e-e2245ee2e443 · outbound

This paper cites SAMOS: A neural MOS prediction model leveraging semantic representations and acoustic features,.

Universal Preference-Score-based Pairwise Speech Quality Assessment SAMOS: A neural MOS prediction model leveraging semantic representations and acoustic features,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:50.652265Z

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.

source=pdf_text observed=2026-08-07T11:48:46.117380Z digest=sha256:5f36aa52f7a64a53175c050ea0620db4efba855d5782f39c91d4be428e3e1feb

Observation a858fa76-3faf-4d1d-9159-5331c035bf89 · outbound

This paper cites SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis,.

Universal Preference-Score-based Pairwise Speech Quality Assessment SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:49.037757Z

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.

source=pdf_text observed=2026-08-07T11:48:46.869476Z digest=sha256:ba44cad05bfb1dc765b9d4a3bf7cb8c17563285af6eea385ae62fc13408840a7

Observation fe9b2631-fe37-4bab-bb93-b77a01bf36c3 · outbound

This paper cites Wav2vec 2.0, widely used in var- ious speech tasks such as automatic speech recognition (ASR), is pre-trained on hundreds to thousands of hours of speech data.

Universal Preference-Score-based Pairwise Speech Quality Assessment Wav2vec 2.0, widely used in var- ious speech tasks such as automatic speech recognition (ASR), is pre-trained on hundreds to thousands of hours of speech data

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:52.041121Z

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.

source=pdf_text observed=2026-08-07T11:48:45.209707Z digest=sha256:a2759988c6908030fc59dca054b5fe30dac586e0b786ca819a56037ead877cc0

Observation 68a074d7-d1f2-403d-9cbb-911f42f4ef84 · outbound

This paper cites The reliability of the itu- p. 85 standard for the evaluation of text-to-speech systems,.

Universal Preference-Score-based Pairwise Speech Quality Assessment The reliability of the itu- p. 85 standard for the evaluation of text-to-speech systems,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:50.464090Z

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.

source=pdf_text observed=2026-08-07T11:48:46.306497Z digest=sha256:a462efdff2543d74d81196fd2ba43be73a768ba3776e7b8f0d0c826240100c97

Observation 83b0b802-abc3-4c7f-806d-34f07c84557a · outbound

This paper cites Best-worst scaling more reli- able than rating scales: A case study on sentiment intensity anno- tation,.

Universal Preference-Score-based Pairwise Speech Quality Assessment Best-worst scaling more reli- able than rating scales: A case study on sentiment intensity anno- tation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:50.325624Z

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.

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Observation 388c1695-1a83-4adc-b1fb-ad32a0bee61a · outbound

This paper cites Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks,.

Universal Preference-Score-based Pairwise Speech Quality Assessment Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:50.107014Z

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.

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Observation a5b15c9c-20aa-4303-bfcc-6e4d5dececd6 · outbound

This paper cites NORESQA: A framework for speech quality assessment using non-matching references,.

Universal Preference-Score-based Pairwise Speech Quality Assessment NORESQA: A framework for speech quality assessment using non-matching references,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:49.861202Z

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.

source=pdf_text observed=2026-08-07T11:48:46.561846Z digest=sha256:4b3c0719b2c01bc4bf46566b028c7542a9aeb01a6aadb2db75a01c12dcb2a4ff

Observation 9d88d4ea-6631-4746-9746-c2199e017181 · outbound

This paper cites Preference-based training framework for automatic speech quality assessment using deep neural network,.

Universal Preference-Score-based Pairwise Speech Quality Assessment Preference-based training framework for automatic speech quality assessment using deep neural network,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:49.696489Z

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.

source=pdf_text observed=2026-08-07T11:48:46.644875Z digest=sha256:4b223d61e203089ff9965d569850260f97ecc953c1fb2f052460cc31c097f144

Observation b557ba5b-37ef-46ef-8279-919075c1227f · outbound

This paper cites Embedding learning for preference-based speech quality assessment,.

Universal Preference-Score-based Pairwise Speech Quality Assessment Embedding learning for preference-based speech quality assessment,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:49.468744Z

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.

source=pdf_text observed=2026-08-07T11:48:46.750253Z digest=sha256:a5f7215f6b4e33297e103a7c50d654c2eded50eb7f0185664ea70925ad290694

Observation 4e8ba6e2-6654-4064-8ab5-3f16f96a9bca · outbound

This paper cites The Blizzard Challenge 2019,.

Universal Preference-Score-based Pairwise Speech Quality Assessment The Blizzard Challenge 2019,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:49.283363Z

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.

source=pdf_text observed=2026-08-07T11:48:46.815761Z digest=sha256:787b231634c7d5544c813063ec7581422820128728304355e3da07ada27ca4c6

Observation d9244fb1-6f1a-4425-8095-44ed1533cf8d · outbound

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

Universal Preference-Score-based Pairwise Speech Quality Assessment wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:48:47.002743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:48:47.002743Z digest=sha256:d244361a4ee55f8ed12e1f0d446a4d7aad92ecf654d1f4e3fac14afb0114c08a

Observation 4febf913-44ef-40d2-8f30-007dd1f88938 · outbound

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

Universal Preference-Score-based Pairwise Speech Quality Assessment Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T11:48:47.074197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:48:47.074197Z digest=sha256:f262379e3a401d18fa377540fa8a64d477733409ca5a13596c776cc9c5cc0e7e

Observation 4e6262cf-c5d1-41a6-ad67-ee1a3f812221 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Universal Preference-Score-based Pairwise Speech Quality Assessment Gaussian Error Linear Units (GELUs)

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:48:47.175674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:48:47.175674Z digest=sha256:f8192875774dc2c8c0fd0b5373a5add213abddb2c6e272244758841325981d84

Observation 188cf69e-4c42-4160-b4e8-7409275da785 · outbound

This paper cites Deep sparse rectifier neural networks,.

Universal Preference-Score-based Pairwise Speech Quality Assessment Deep sparse rectifier neural networks,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:48.811840Z

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.

source=pdf_text observed=2026-08-07T11:48:47.244898Z digest=sha256:aebf2add140d9d9bd2918116533ee1cef6470d1dbc122e4d15be1ec79f090f7c

Observation 815b3867-5ecc-4ee1-9a96-714af15df878 · outbound

This paper cites ESP- Net: End-to-end speech processing toolkit,.

Universal Preference-Score-based Pairwise Speech Quality Assessment ESP- Net: End-to-end speech processing toolkit,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:48.605025Z

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.

source=pdf_text observed=2026-08-07T11:48:47.384074Z digest=sha256:c4183f836afaa487ec9789fdb7ea355344d19092a04b5670b7d3213b883d1db4

Observation 74cd0c1d-3d0a-4c74-acd2-9bcbd7c98daa · outbound

This paper cites Simple and Effective Zero-shot Cross-lingual Phoneme Recognition,.

Universal Preference-Score-based Pairwise Speech Quality Assessment Simple and Effective Zero-shot Cross-lingual Phoneme Recognition,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:48:48.398724Z

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.

source=pdf_text observed=2026-08-07T11:48:47.510364Z digest=sha256:e996bbd92c498e5ebb3ad5e747750cfeb90485b8b960ccdbd5bedbacd6ca3bbc

Observation a3289121-fc7a-4e8b-acc0-76d74e5809d8 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

Universal Preference-Score-based Pairwise Speech Quality Assessment A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:48:47.579811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:48:47.579811Z digest=sha256:f633e78545be9b044d9a7b51caa7844a14e44ba5f5aff3e795f4f5b22c0b15b4

Pith citing papers

Observation 7d68a7a8-97eb-40c6-be18-2789b94f5e6b · inbound

Universal Preference-Score-based Pairwise Speech Quality Assessment cites this paper.

Universal Preference-Score-based Pairwise Speech Quality Assessment Universal Preference-Score-based Pairwise Speech Quality Assessment

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:48:48.195882Z

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.

source=pdf_text observed=2026-08-07T11:48:45.044629Z digest=sha256:175be30026e1b18fa2b297b9bf985e373b534b6ace7e6120971881eb1056405e