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Paper Citation Record · LEDGER

PRiSM: Benchmarking Phone Realization in Speech Models

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 3 inbound Pith citation observations for arXiv:2601.14046.

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

pith.paper-citation-record.v1
2601.14046 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:21:32.188183Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:18:46.424728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.468434Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af059532-9a6d-41eb-b883-6eaf1c2cc2b9 · outbound

This paper cites When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations.

PRiSM: Benchmarking Phone Realization in Speech Models When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.494052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.494052Z digest=sha256:36fb14c3b11e668e8a1698d5f2a344a9c57332534c11736c9bb59a4cd2814b55

Observation 0ae49f52-6f71-402b-9df8-8ddef5d47b7b · outbound

This paper cites Transactions of the Association for Computational Linguistics, 8:1–18.

PRiSM: Benchmarking Phone Realization in Speech Models Transactions of the Association for Computational Linguistics, 8:1–18

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.627530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.627530Z digest=sha256:ed987c9d927d318c3c67cb59fecef3d3572ca2a59e6466b31708123813998411

Observation 950523d7-132c-4cb6-9cee-ac36cb769c9f · outbound

This paper cites InICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Pro- cessing (ICASSP), pages 1–5.

PRiSM: Benchmarking Phone Realization in Speech Models InICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Pro- cessing (ICASSP), pages 1–5

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.700903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.700903Z digest=sha256:4646a7f17d735f21e53f0e3c5d3ead3183295e18933264a49810002cb81ea8a1

Observation 760e10e2-c0e1-4714-af81-6e14d16a21d7 · outbound

This paper cites ‘json), and do not include any conversational filler. • Field“transcription“: –Must contain EXACTLY ONE string sequence of IPA symbols. –No slashes/or brackets[]. –Example:.

PRiSM: Benchmarking Phone Realization in Speech Models ‘json), and do not include any conversational filler. • Field“transcription“: –Must contain EXACTLY ONE string sequence of IPA symbols. –No slashes/or brackets[]. –Example:

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:32.188183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:32.188183Z digest=sha256:2b65cb152ff41a1c226a49bd6e77c11116a816061d9bfce8315fc84ebe7f5d4c

Observation 87e34834-858b-47dd-9c62-44ece48bdeaf · outbound

This paper cites Patrick Foley, Matthew Wiesner, Bismarck Odoom, Leibny Paola Garcia Perera, Kenton Murray, and Philipp Koehn.

PRiSM: Benchmarking Phone Realization in Speech Models Patrick Foley, Matthew Wiesner, Bismarck Odoom, Leibny Paola Garcia Perera, Kenton Murray, and Philipp Koehn

Reference 1892

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.028251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.028251Z digest=sha256:c502d659dafb0113ad18a053147c2e061d9da4903558ab1fa58e4dbbc8dc70ac

Observation 9d882f86-4a7f-4254-8a8f-bdb012bc101a · outbound

This paper cites InProceedings of COLING 2016, the 26th International Confer- ence on Computational Linguistics: Technical Pa- pers, pages 3475–3484.

PRiSM: Benchmarking Phone Realization in Speech Models InProceedings of COLING 2016, the 26th International Confer- ence on Computational Linguistics: Technical Pa- pers, pages 3475–3484

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.227336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.227336Z digest=sha256:33da2c09b9042fb074a92ce07a721cc6356a3c018bf2e9230fa9b325da7355f2

Observation cbf6ed0d-0d4c-418a-8d70-34feb739cc6e · outbound

This paper cites InInternational conference on machine learning, pages 3319–3328.

PRiSM: Benchmarking Phone Realization in Speech Models InInternational conference on machine learning, pages 3319–3328

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.894240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.894240Z digest=sha256:622fc1d594a811816e7a0c81128502fb50570583fe5d361fe3da2a27b8a81195

Observation 24069c4c-af1a-46be-b697-25cc213bbdda · outbound

This paper cites Investigating the role of L1 in automatic pronunciation evaluation of L2 speech.

PRiSM: Benchmarking Phone Realization in Speech Models Investigating the role of L1 in automatic pronunciation evaluation of L2 speech

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:32.066360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:32.066360Z digest=sha256:776a2c20092df83602b07af7388f9a93568c352931d0829aefb52cc61205f6d1

Observation 4f6b9689-96de-4b35-9722-14e8dcd06235 · outbound

This paper cites InNeuRIPS Workshop on Self- Supervised Learning for Speech and Audio Process- ing.

PRiSM: Benchmarking Phone Realization in Speech Models InNeuRIPS Workshop on Self- Supervised Learning for Speech and Audio Process- ing

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.402914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.402914Z digest=sha256:70603373a7185c3354907c340db98e768e5f287c0c59830cc8cf2a517be719fe

Observation 5f50a260-8ef3-44ef-a6a9-763235e993a2 · outbound

This paper cites InIEEE International Conference on Acoustics, Speech, and Signal Processing.

PRiSM: Benchmarking Phone Realization in Speech Models InIEEE International Conference on Acoustics, Speech, and Signal Processing

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.770125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.770125Z digest=sha256:1704c2121b8926ffb2491ce3f6c5bdeb659164499e9968aee879e416b1f9dcd8

Observation a8bd7d52-b4ef-466f-a48b-64cc50f3e05c · outbound

This paper cites speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment.

PRiSM: Benchmarking Phone Realization in Speech Models speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:32.138885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:32.138885Z digest=sha256:039108e01fea9180a8e252269c650f3f2e13caa89d02d5095097bbce2c05f3bf

Observation b118258d-1bab-4c12-ba6a-d91a2b208abd · outbound

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

PRiSM: Benchmarking Phone Realization in Speech Models AHELM: A Holistic Evaluation of Audio-Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.131370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.131370Z digest=sha256:0f24d0330686e07a567da8e77c4c5997038ec9c418edfe0dee1b77cc78914e7e

Pith citing papers

Observation b9eab9d5-9e15-4646-a4b4-10712446601e · inbound

An Empirical Recipe for Universal Phone Recognition cites this paper.

An Empirical Recipe for Universal Phone Recognition PRiSM: Benchmarking Phone Realization in Speech Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-14T20:01:37.569548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:01:37.569548Z digest=sha256:d146b76daf38c0636995cf7ad98c016e50ed33c7e4ef3282beccb2b31e26be20

Observation 286fc412-b1b1-492a-b9f1-b32914fad947 · inbound

BranchShine: Compact Raw-Audio-to-IPA Transcription with a RoPE E-Branchformer Encoder cites this paper.

BranchShine: Compact Raw-Audio-to-IPA Transcription with a RoPE E-Branchformer Encoder PRiSM: Benchmarking Phone Realization in Speech Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-14T02:20:22.286045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T09:16:32.538268Z digest=sha256:e606f7539c1fac6584cc72b56c940e9c43416eac05c4299560a1cb50b3d693ee

Observation 43001e13-a645-499f-a587-4695668c2e35 · inbound

MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition cites this paper.

MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition PRiSM: Benchmarking Phone Realization in Speech Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-07-31T23:18:46.424728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:18:46.424728Z digest=sha256:96280d32b39d00bff3e635d802a64c71fe4d19c0ba2d6dc939563738baaf82c9