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Paper Citation Record · LEDGER

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2505.24571.

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

pith.paper-citation-record.v1
2505.24571 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:26:47.266093Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:26:44.194637Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:26:47.645521Z

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17eacb47-922b-486e-9a03-ff24a31c0afc · outbound

This paper cites an unresolved cited work.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Unresolved cited work

Reference 1

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Observation 61e17429-8156-4239-a957-0d95f4f6f510 · outbound

This paper cites Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models

Reference 2

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This paper cites Sources We construct new training and test datasets by exploiting re- cently released open datasets in three South Slavic languages and one dialect.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Sources We construct new training and test datasets by exploiting re- cently released open datasets in three South Slavic languages and one dialect

Reference 3

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Observation 4dd6abd7-770d-4e1c-a936-a18653c83fd0 · outbound

This paper cites an unresolved cited work.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Unresolved cited work

Reference 4

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Observation 1bb60342-5d54-4f90-8b89-4c6833c84e32 · outbound

This paper cites Traditional vs.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Traditional vs

Reference 5

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Source-reported events for the cited work

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Observation efb84340-7028-49ca-b3e4-a44f51ccd5bf · outbound

This paper cites The experiments were performed on a newly constructed training and four test datasets in various South-Slavic languages and dialects.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models The experiments were performed on a newly constructed training and four test datasets in various South-Slavic languages and dialects

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 4e12924c-e2a6-433f-a1cc-86e959f307ad · outbound

This paper cites Spoken Lan- guage Resources and Speech Technologies for the Slovenian Language.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Spoken Lan- guage Resources and Speech Technologies for the Slovenian Language

Reference 7

Resolution
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Observation 68b9145e-668c-4918-8c6c-bd4528f37bd6 · outbound

This paper cites Automatic syllable stress detec- tion using prosodic features for pronunciation evaluation of lan- guage learners,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Automatic syllable stress detec- tion using prosodic features for pronunciation evaluation of lan- guage learners,

Reference 8

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Observation d6969cd2-4641-4dc2-a2d9-5c4ec26a78fb · outbound

This paper cites Garde, Naglasak.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Garde, Naglasak

Reference 9

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Observation e147997e-4657-46ef-8f59-34be400b3349 · outbound

This paper cites ˇSkari´c, Fonetika hrvatskoga knji ˇzevnoga jezika.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models ˇSkari´c, Fonetika hrvatskoga knji ˇzevnoga jezika

Reference 10

Resolution
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Observation 48f9d9e5-a720-4c0a-8617-2e1f9069e502 · outbound

This paper cites Fonetika i fonologija: ortoepska i ortografska norma standardnog srpskog jezika,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Fonetika i fonologija: ortoepska i ortografska norma standardnog srpskog jezika,

Reference 11

Resolution
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Source-reported events for the cited work

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Observation c2f3842c-47df-4ca7-b7b4-481bdc722ae3 · outbound

This paper cites The processing of stress in end-to-end automatic speech recognition models,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models The processing of stress in end-to-end automatic speech recognition models,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 4fef4549-df10-4cd0-ae21-fe59d79b80b9 · outbound

This paper cites Exploring the use of self-supervised representations for automatic syllable stress detec- tion,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Exploring the use of self-supervised representations for automatic syllable stress detec- tion,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9d276e22-0e00-4e06-b22a-c8618382d7f8 · outbound

This paper cites Prominence model for prosodic features in automatic lexical stress and pitch accent detection,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Prominence model for prosodic features in automatic lexical stress and pitch accent detection,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation b0b2b6bd-14c9-4282-b9cb-93b9651f2bc0 · outbound

This paper cites Word independent model for syllable stress evaluation,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Word independent model for syllable stress evaluation,

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 389091c4-c4fc-482f-ac3c-0c9997e357a3 · outbound

This paper cites Classification of lexical stress patterns using deep neural network architecture,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Classification of lexical stress patterns using deep neural network architecture,

Reference 16

Resolution
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Observation d53fa8fa-1cbf-4349-af44-70e0d7cfb104 · outbound

This paper cites An automated lexical stress classification tool for assessing dysprosody in childhood apraxia of speech,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models An automated lexical stress classification tool for assessing dysprosody in childhood apraxia of speech,

Reference 17

Resolution
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Observation bd504974-5211-4f6b-bf87-834e086d07dc · outbound

This paper cites Automatic classification of lexical stress errors for German CAPT.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Automatic classification of lexical stress errors for German CAPT

Reference 18

Resolution
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Observation d55cf4ad-c351-4efe-8fa3-f2f07deb979d · outbound

This paper cites Automatic classification of lexical stress in English and Arabic languages using deep learn- ing.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Automatic classification of lexical stress in English and Arabic languages using deep learn- ing

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8cb0ba9e-b1bd-4023-ad30-9dd42df00ac5 · outbound

This paper cites an unresolved cited work.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Unresolved cited work

Reference 20

Resolution
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Observation dee37cd1-f314-4b96-8f89-247e88ef3eec · outbound

This paper cites Speech rate estimation via tempo- ral correlation and selected sub-band correlation,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Speech rate estimation via tempo- ral correlation and selected sub-band correlation,

Reference 21

Resolution
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Observation 39402d64-3320-4417-bc56-7751c67ad488 · outbound

This paper cites Automatic detec- tion of syllable stress using sonority based prominence features for pronunciation evaluation,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Automatic detec- tion of syllable stress using sonority based prominence features for pronunciation evaluation,

Reference 22

Resolution
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Source-reported events for the cited work

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Observation dd71bde0-0d04-4358-a8b6-e4d2a06c5134 · outbound

This paper cites ASR inspired syllable stress detection for pronunciation evaluation without us- ing a supervised classifier and syllable level features.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models ASR inspired syllable stress detection for pronunciation evaluation without us- ing a supervised classifier and syllable level features

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 88f3f48d-2993-4de4-8763-d7ec47630052 · outbound

This paper cites A hierarchical ap- proach to automatic stress detection in English sentences,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models A hierarchical ap- proach to automatic stress detection in English sentences,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 2039e3c3-2858-4dcc-b0a9-d1490b293a51 · outbound

This paper cites The ParlaSpeech collection of automatically generated speech and text datasets from parliamentary proceedings,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models The ParlaSpeech collection of automatically generated speech and text datasets from parliamentary proceedings,

Reference 25

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d8a154e4-0bfb-4768-b94a-e87fcf0c86f0 · outbound

This paper cites Mi ´ci Princ - A little boy teaching speech technologies the Chakavian dialect,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Mi ´ci Princ - A little boy teaching speech technologies the Chakavian dialect,

Reference 26

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 41d14da7-d049-4afd-b1a5-38f9a18f9111 · outbound

This paper cites Strategies for man- aging time and costs in speech corpus creation: insights from the Slovenian ARTUR corpus,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Strategies for man- aging time and costs in speech corpus creation: insights from the Slovenian ARTUR corpus,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 139b0077-c5f1-4ff9-b9d5-04eb734d222b · outbound

This paper cites Gos 2: A new reference corpus of spoken Slovenian,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Gos 2: A new reference corpus of spoken Slovenian,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2468d33a-ca78-43cb-a5f0-ae58024adb3e · outbound

This paper cites Utilizing forced align- ment for phonetic analysis of Slovene speech,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Utilizing forced align- ment for phonetic analysis of Slovene speech,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8f332123-32a6-47e8-9174-84802308012f · outbound

This paper cites The Kaldi speech recognition toolkit,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models The Kaldi speech recognition toolkit,

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1c6cfbe9-80cd-4c0d-8a3b-447439374f33 · outbound

This paper cites ParlaSpeech-HR – a freely available ASR dataset for Croatian bootstrapped from the ParlaMint corpus,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models ParlaSpeech-HR – a freely available ASR dataset for Croatian bootstrapped from the ParlaMint corpus,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8f5e0d49-d707-4db0-99da-eee59bce6af2 · outbound

This paper cites Praat: doing phonetics by com- puter,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Praat: doing phonetics by com- puter,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 82a0a65f-3c99-45bd-be4f-edd59b42eb6f · outbound

This paper cites Computing Krippendorff’s alpha-reliability,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Computing Krippendorff’s alpha-reliability,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:48.333046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:26:46.931594Z digest=sha256:1f1af89f7eb2ab55a561fcb49140f1e5792489ed8aa3bea4f4690c58a2a9c0a7

Observation d2a4313c-ba46-4856-b4a4-2b96310acc0f · outbound

This paper cites Analyzing dataset annotation quality management in the wild,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Analyzing dataset annotation quality management in the wild,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:48.091855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ed782503-8d92-477c-b44f-e0cf7788a051 · outbound

This paper cites The ISLE corpus of non-native spoken English,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models The ISLE corpus of non-native spoken English,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:47.941716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d9af5868-a5e7-4afa-b481-0f6b7124e3fd · outbound

This paper cites Transformers: State-of-the-art natural language processing,.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Transformers: State-of-the-art natural language processing,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:47.199112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:47.199112Z digest=sha256:e875a49c858140015b3c363219ce34671c814b08a2ccaee912fb40113ede4aff

Observation 79a2e2f6-b622-4482-b707-70e9e8e0fc9c · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:47.266093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:47.266093Z digest=sha256:ad12586fc6b275aefed7bc6ec6abd9469d44a1c6121fccabdc332376ea49a990

Pith citing papers

Observation 61e17429-8156-4239-a957-0d95f4f6f510 · inbound

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models cites this paper.

Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Models

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:26:47.726441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:26:44.194637Z digest=sha256:f8984ab9aafc515ecec123af976b0ece9e843eb1df69f524452d25fbe0f1548e