Pith. sign in

Paper Citation Record · LEDGER

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2607.14846.

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

pith.paper-citation-record.v1
2607.14846 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:57:37.822940Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:41:57.270130Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:42:04.169139Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6901edd0-7c93-41d8-93c2-2b599aaec0d4 · outbound

This paper cites Cambridge University Press, 2018.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Cambridge University Press, 2018

Reference 1

Resolution
verified exact
doi, observed 2026-08-02T00:58:19.916109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T00:57:37.670553Z digest=sha256:9b03d1170fcdccc12aa3c49fb7f9bf30e48e4856b0f19737f2f29a1f9cf65e97

Observation b7a3967b-7839-4323-8715-007f10a13ba0 · outbound

This paper cites John Benjamins, 2010.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems John Benjamins, 2010

Reference 2

Resolution
verified exact
doi, observed 2026-08-02T00:58:19.796619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T00:57:37.675403Z digest=sha256:eeb811811a797cee565d0c4a5b15ef1803e1b6a968d693283293bf275635ad2d

Observation 3639aa17-d0e5-4dc0-b1e7-7b5802743b3e · outbound

This paper cites Oxford University Press, 2021.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Oxford University Press, 2021

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.679716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.679716Z digest=sha256:c9f728bc5a20569fc98b08dcaffc70066390e1585256beda111d940a195018ae

Observation 5652f4c9-85d8-482f-b395-0d8d69c67f0d · outbound

This paper cites Cambridge University Press, 1980.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Cambridge University Press, 1980

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.683927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.683927Z digest=sha256:2f7c6d1d3f99b06a73c755226da45940242a229cac3c61c91f2cd98128824ac9

Observation fb5e0384-be67-4bca-a06b-b7fe1ec8d255 · outbound

This paper cites Scherer and Howard Giles, editors.Social Markers in Speech.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Scherer and Howard Giles, editors.Social Markers in Speech

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.688134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.688134Z digest=sha256:7345fddd13bad8b6299a03fa6abfc104e378be2d302bdf2772d302c970b55bb9

Observation c15afd01-2a8f-4e22-a503-4d7eca91c0f2 · outbound

This paper cites Asimplestsystematicsfortheorganizationofturn-taking for conversation.Language, 50(4):696–735, 1974.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Asimplestsystematicsfortheorganizationofturn-taking for conversation.Language, 50(4):696–735, 1974

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.692153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.692153Z digest=sha256:854c0c069f948f89dcfe998118550d8dcb43cc410b1cba418f0fa63b2cdea88e

Observation 3673dc5d-8b6a-4ccd-a4f8-79200ba41f61 · outbound

This paper cites doi: 10.1162/tacl.a.628.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems doi: 10.1162/tacl.a.628

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.696832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.696832Z digest=sha256:7a0f69048589986607d0f06f921d230483551e21179ececac0132d4d4805af03

Observation a6e2fb60-11ed-4d4f-b188-75f745b4a8b4 · outbound

This paper cites Speech Robust Bench: A Robustness Benchmark For Speech Recognition.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.709027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.709027Z digest=sha256:4791744c5dbc54b9a7060946fa981a746a1d2e76d42e504df7d18bac32599a62

Observation 370ba510-382f-4f56-a329-7e759a16c3dd · outbound

This paper cites SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.713378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.713378Z digest=sha256:2cc08d7b86e3c6caadaf7375657e31554d1e0e7a1fde8d102a1268cb7ae2499a

Observation b98dcb16-8a1c-4285-acdc-8fc3449f3b5e · outbound

This paper cites ITU-T Recommendation P.800: Methods for subjective determination of transmission quality.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems ITU-T Recommendation P.800: Methods for subjective determination of transmission quality

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.718088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.718088Z digest=sha256:7596b54eea055e62cf8f09eaa660afae032bdd7dbed27326e2a654144b692a01

Observation a74bd06b-2ec2-4ff7-abe6-f9316ec84dfd · outbound

This paper cites Technical Report BS.1534-3, International Telecommunication Union, 2015.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Technical Report BS.1534-3, International Telecommunication Union, 2015

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.722153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.722153Z digest=sha256:79e34ff74b0ffd5b36528eda85230f8269795facf15f36789ba40b05ff8d38c6

Observation 8ff301c5-89f6-443f-a755-57cc200f5090 · outbound

This paper cites Black and Keiichi Tokuda.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Black and Keiichi Tokuda

Reference 13

Resolution
verified exact
doi, observed 2026-08-02T00:58:19.666328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T00:57:37.726489Z digest=sha256:d22c1174b08bb8583fda532779ddfdc448f50fc9cfc3aa34a838ba18410d6679

Observation be10b237-0131-4ea5-8a88-5475f13a684c · outbound

This paper cites The VoiceMOS challenge2022.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems The VoiceMOS challenge2022

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.730421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.730421Z digest=sha256:1b3a559886036941e75b2981f5a2096b4dc0f777239220ab154065ddcffab8fc

Observation 14edc465-fbb6-4077-bf96-feaf874c1d18 · outbound

This paper cites The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.735839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.735839Z digest=sha256:82fd691236b71f939f1446ee2d2aa7fe0da1301969fc40ba95a013d589e52115

Observation e2f04486-eb39-4b01-920a-b8217a575738 · outbound

This paper cites InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.741292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.741292Z digest=sha256:ea772c5c4d2d17254e5ab621d3cdd7dd588fd38ec1d3cf8afb39fd7cd6247282

Observation 15e196c1-fbef-4c31-8ffd-053bb8c9b494 · outbound

This paper cites EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.747884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.747884Z digest=sha256:da5479d528d2a1fb3f5caea325b7e477e50aae879c65ca25625b1cfef0952eb4

Observation 93c912b8-80c8-44d5-8ef9-f54a563ddc78 · outbound

This paper cites Walker, Diane J.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Walker, Diane J

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.752541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.752541Z digest=sha256:e72afbaa51d7b78e08d14255f0756c82142bc84f984e9e749d33fe70251c9dca

Observation 4fd0111f-00eb-4c2b-802b-1c0fb0952540 · outbound

This paper cites SD-Eval: A benchmark dataset for spoken dialogue understanding beyond words.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems SD-Eval: A benchmark dataset for spoken dialogue understanding beyond words

Reference 19

Resolution
verified exact
doi, observed 2026-08-02T00:58:19.508402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T00:57:37.757467Z digest=sha256:14754ffc9a775335594e75859ea1635b6213666c7d567c355761e5c221b8a203

Observation d3afbedc-9ce0-42d6-b755-080841e0aa6e · outbound

This paper cites URO-bench: Towards comprehensive evaluation for end-to-end spoken dialogue models.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems URO-bench: Towards comprehensive evaluation for end-to-end spoken dialogue models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.761831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.761831Z digest=sha256:8e10b110d6b6211e28b307961b98990199318800f23a0923d17d25a756c8d709

Observation 9c87ecb7-00c4-43c8-acd5-1f69f0890e48 · outbound

This paper cites S2S-Arena: Evaluating Paralinguistic Instruction Following in Speech-to-Speech Models.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems S2S-Arena: Evaluating Paralinguistic Instruction Following in Speech-to-Speech Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.766430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.766430Z digest=sha256:dd00370bfdd87722dc2bddc14918e49a5f59a09b428446dff2affa88e2e546fb

Observation e6968ab4-c770-4d98-a6a2-b6840d29d32b · outbound

This paper cites AIR-bench: Benchmarking large audio-language models via generative comprehension.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems AIR-bench: Benchmarking large audio-language models via generative comprehension

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.771079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.771079Z digest=sha256:b58a985b5c7e894a929daeb543f925d70c2bb260c220a70b7f15a967ec73c3ff

Observation b5df8b96-0cff-4df8-88c7-270d43f3cb9b · outbound

This paper cites an unresolved cited work.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.776244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.776244Z digest=sha256:a71f92e3fdf0af085fbfaf56f801b9d09c87286e58422cb7ea351b476b17a35e

Observation 6d5d8abb-cfc8-46d0-a5f4-cc38b5f97d4c · outbound

This paper cites AHELM: A Holistic Evaluation of Audio-Language Models.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems AHELM: A Holistic Evaluation of Audio-Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.780637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.780637Z digest=sha256:2d6c076a36e368cefc3f4da2b96adfb9561d6cb272c7f71648181746044dad18

Observation 7cef86de-f4a5-453e-a6cb-b616f6070aa1 · outbound

This paper cites Common voice: A massively-multilingual speech corpus.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Common voice: A massively-multilingual speech corpus

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.784998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.784998Z digest=sha256:db7cc4268a3c13e48bc25120d1dbdb1a098141c6150954c7d79728e3bfbc34ef

Observation b6251651-10f3-4979-82c9-c60ff56d9ee3 · outbound

This paper cites FLEURS: Few-shot learning evaluation of universal representations of speech.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems FLEURS: Few-shot learning evaluation of universal representations of speech

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.790343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.790343Z digest=sha256:3ce3b5009cc859f2747182f8d50ff8d06942ac547030ebfd9d3261f109c1c317

Observation d55737d4-8200-400b-b809-9fa79a6a4da5 · outbound

This paper cites CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.794744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.794744Z digest=sha256:dd52e970c55ad3743a2336b001a825a5aebf5918a2d538b0ae2b82b1a7536e06

Observation b5832878-a711-4d29-95c1-204764ce164e · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Librispeech: An asr corpus based on public domain audio books

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.798883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.798883Z digest=sha256:9c01ac9110b8893c7368b86c62f99eca0d097e1cae58615346f1c2829cb60022

Observation cf15931f-eef3-4d7a-acdc-55886c102da3 · outbound

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

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Voxpopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.802866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.802866Z digest=sha256:f6368331d33e1cdddfb3694fd884a800b8ac2370dbbcc8df76304eadf43aface

Observation e3fa44c7-6d19-4263-8be7-a8a649e5d4f6 · outbound

This paper cites Open asr leaderboard: Towards reproducible and transparent multilingual and long-form speech recognition evaluation, 2025.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Open asr leaderboard: Towards reproducible and transparent multilingual and long-form speech recognition evaluation, 2025

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.807408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.807408Z digest=sha256:31b51b8569c94d179b83062cb97bb62d6d5d5668f60b2c3ac03d3496dd9343fe

Observation 80dc10bc-3e3e-4c2f-875e-ce69fcc53c6a · outbound

This paper cites an unresolved cited work.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Unresolved cited work

Reference 31

Resolution
verified exact
doi, observed 2026-08-02T00:58:19.347366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T00:57:37.812119Z digest=sha256:17cdeb5e1af6e258ec08a9ae692b23b6617c9e50f2b535267e730d9ee74aa7e9

Observation 8967ab2e-d5bf-45b1-ab9f-e65f1ee5ae71 · outbound

This paper cites BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.818199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.818199Z digest=sha256:45e61c2e28355d947c2b137977c3de27e71701be576da7e7eaf70315511325d9

Observation f5f2c3cc-16b1-4558-8bd9-8d6316715ef4 · outbound

This paper cites A female speaker delivers a clear, expressive speech in a quiet, high- quality recording.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems A female speaker delivers a clear, expressive speech in a quiet, high- quality recording

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.822940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.822940Z digest=sha256:f62c4ecf07055e4df53bab9743bb232f3329f3858c9dc7f3dba111b8b8e9cd93

Observation c43baa13-8985-4d58-8d2b-07e11974c5b5 · outbound

This paper cites an unresolved cited work.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems Unresolved cited work

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T00:57:37.704890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:57:37.704890Z digest=sha256:546b3f254d8e92e133743806b16e7e320df3c1a8f52d4c1cbad56287929a342f

Pith citing papers

Observation 37dacbd7-18fd-44da-b3df-5ba1803f8db5 · inbound

CallScreenBench: Benchmarking On-Device Models as Phone Secretaries cites this paper.

CallScreenBench: Benchmarking On-Device Models as Phone Secretaries RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:42:04.264356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T00:41:57.270130Z digest=sha256:158d7c80903b755c54f9bb7071585510c5b9f5076b678de786db4982fa9b0073