Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:26.939996Z
Paper Citation Record · LEDGER
Word stress in self-supervised speech models: A cross-linguistic comparison
As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.04738.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:26.723398Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:44:27.047982Z
Reference resolution
43 of 43 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a6ae5f4c-a0d0-48b9-bf76-b2531fdbe84b · outbound
This paper cites Word stress in self-supervised speech models: A cross-linguistic comparison.
Word stress in self-supervised speech models: A cross-linguistic comparison Word stress in self-supervised speech models: A cross-linguistic comparison
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 6f2bec55-dcbe-4304-a2e2-79f9ec84da53 · outbound
This paper cites This model is pre-trained on 500,000 hours of speech recordings across 128 languages, including the five languages featuring in our study.
Word stress in self-supervised speech models: A cross-linguistic comparison This model is pre-trained on 500,000 hours of speech recordings across 128 languages, including the five languages featuring in our study
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad5b3084-7f77-4c6e-94d8-2e741e0ab5b7 · outbound
This paper cites Word stress representations in connected speech The results for the language-specific stress classification test are summarized in Figure 1.
Word stress in self-supervised speech models: A cross-linguistic comparison Word stress representations in connected speech The results for the language-specific stress classification test are summarized in Figure 1
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 16a605c0-310c-46ee-b948-2e6d782da8dc · outbound
This paper cites Our study fo- cused on three languages with variable (i.e.
Word stress in self-supervised speech models: A cross-linguistic comparison Our study fo- cused on three languages with variable (i.e
Reference 4
- Resolution
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Observation 592c0a60-39aa-4506-9343-dfe9fd14a4a1 · outbound
This paper cites Zuidema (Univ.
Word stress in self-supervised speech models: A cross-linguistic comparison Zuidema (Univ
Reference 5
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Source-reported events for the cited work
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Observation 2dbd4ccc-41d1-4268-b621-975e3075decf · outbound
This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.
Word stress in self-supervised speech models: A cross-linguistic comparison wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 40dd32fb-d39c-42bb-8542-996ba4151ba0 · outbound
This paper cites Large-scale self-supervised speech representation learning for automatic speaker verification,.
Word stress in self-supervised speech models: A cross-linguistic comparison Large-scale self-supervised speech representation learning for automatic speaker verification,
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation 8ee4a063-788f-4d19-b9ce-7893d37fc22f · outbound
This paper cites Evaluating self-supervised speech representations for speech emotion recognition,.
Word stress in self-supervised speech models: A cross-linguistic comparison Evaluating self-supervised speech representations for speech emotion recognition,
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation ec88b170-7272-40ce-aa7d-c56353fefef7 · outbound
This paper cites Understanding intermediate layers using linear classifier probes.
Word stress in self-supervised speech models: A cross-linguistic comparison Understanding intermediate layers using linear classifier probes
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 5d78b272-1917-4507-ac4e-76eee6d78efd · outbound
This paper cites What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties,.
Word stress in self-supervised speech models: A cross-linguistic comparison What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties,
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2e687ffe-b674-42f1-bf22-e04b355ae040 · outbound
This paper cites Domain- informed probing of wav2vec 2.0 embeddings for phonetic fea- tures,.
Word stress in self-supervised speech models: A cross-linguistic comparison Domain- informed probing of wav2vec 2.0 embeddings for phonetic fea- tures,
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation dcaaf285-54b7-4ec2-a229-e4d72f385be6 · outbound
This paper cites Self-supervised speech representations are more phonetic than semantic,.
Word stress in self-supervised speech models: A cross-linguistic comparison Self-supervised speech representations are more phonetic than semantic,
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 81b9787f-d6cb-44fb-b8bb-4d393c80328c · outbound
This paper cites Wave to syn- tax: Probing spoken language models for syntax,.
Word stress in self-supervised speech models: A cross-linguistic comparison Wave to syn- tax: Probing spoken language models for syntax,
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0f8ed09c-b25c-42c6-bf24-ffb7bc579c02 · outbound
This paper cites The processing of stress in end-to-end automatic speech recognition models,.
Word stress in self-supervised speech models: A cross-linguistic comparison The processing of stress in end-to-end automatic speech recognition models,
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 047b1b96-16df-453d-94d0-581f82a87ae3 · outbound
This paper cites Gussenhoven, The phonology of tone and intonation.
Word stress in self-supervised speech models: A cross-linguistic comparison Gussenhoven, The phonology of tone and intonation
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 23250d77-8dce-486c-a51d-4998875a636a · outbound
This paper cites Rounds, Hungarian: An essential grammar.
Word stress in self-supervised speech models: A cross-linguistic comparison Rounds, Hungarian: An essential grammar
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation d8c65379-d907-4de0-bd03-ac1fdbf5d387 · outbound
This paper cites Booij, The phonology of Dutch.
Word stress in self-supervised speech models: A cross-linguistic comparison Booij, The phonology of Dutch
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 33fcbee1-52a8-4c67-96f6-673a0a2da8e0 · outbound
This paper cites The role of strong syllables in segmen- tation for lexical access.
Word stress in self-supervised speech models: A cross-linguistic comparison The role of strong syllables in segmen- tation for lexical access
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation c226f2a2-f398-4d27-a7fc-b73addea138d · outbound
This paper cites Bossong, B.
Word stress in self-supervised speech models: A cross-linguistic comparison Bossong, B
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation e49ccba1-f7d7-4192-bebf-4481e43be157 · outbound
This paper cites Acoustic correlates and perceptual cues of word and sentence stress,.
Word stress in self-supervised speech models: A cross-linguistic comparison Acoustic correlates and perceptual cues of word and sentence stress,
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 11b6cc4a-653b-4ac1-b8c4-06eef7308bd6 · outbound
This paper cites Duration and intensity as physical correlates of lin- guistic stress,.
Word stress in self-supervised speech models: A cross-linguistic comparison Duration and intensity as physical correlates of lin- guistic stress,
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4b945cc3-614b-449c-8a95-60f7dbfd36af · outbound
This paper cites Spectral balance as an acoustic correlate of linguistic stress,.
Word stress in self-supervised speech models: A cross-linguistic comparison Spectral balance as an acoustic correlate of linguistic stress,
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 92affa01-8672-4c81-a6a7-8b48fe7e90ee · outbound
This paper cites Acoustic correlates of word stress: A cross-linguistic survey,.
Word stress in self-supervised speech models: A cross-linguistic comparison Acoustic correlates of word stress: A cross-linguistic survey,
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0c0960c1-9831-4fc3-9187-3c24ce7f2a4f · outbound
This paper cites Articulation rate and the duration of syllables and stress groups in connected speech,.
Word stress in self-supervised speech models: A cross-linguistic comparison Articulation rate and the duration of syllables and stress groups in connected speech,
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 610e7762-7179-40c8-b995-45c96d0ee89c · outbound
This paper cites Coarticulation and connected speech processes,.
Word stress in self-supervised speech models: A cross-linguistic comparison Coarticulation and connected speech processes,
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bfb635dc-6b1e-4991-8cdf-497b21db75c4 · outbound
This paper cites Lexical stress in Polish: evidence from focus and phrase-position differentiated production data,.
Word stress in self-supervised speech models: A cross-linguistic comparison Lexical stress in Polish: evidence from focus and phrase-position differentiated production data,
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 73b4fd5a-d50a-4ca6-b6f3-5dd6de06d95e · outbound
This paper cites Perception of pre- dictable stress: A cross-linguistic investigation,.
Word stress in self-supervised speech models: A cross-linguistic comparison Perception of pre- dictable stress: A cross-linguistic investigation,
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 2026-08-14T06:32:32.682623+00:00.
Observation 7b2f7ed4-6fcb-4a0d-8b0b-042ad61b9ba9 · outbound
This paper cites Wiese, The phonology of German.
Word stress in self-supervised speech models: A cross-linguistic comparison Wiese, The phonology of German
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation 5aa809d7-cb2c-4dfb-8b7b-52f15cb01139 · outbound
This paper cites McMahon, An introduction to English phonology.
Word stress in self-supervised speech models: A cross-linguistic comparison McMahon, An introduction to English phonology
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation c0ebf939-6db9-4343-b35e-e2b6092fe8a5 · outbound
This paper cites A grid theory of stress in Polish,.
Word stress in self-supervised speech models: A cross-linguistic comparison A grid theory of stress in Polish,
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 845ae894-6d3c-49bf-8e4e-53e6d3f9e739 · outbound
This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.
Word stress in self-supervised speech models: A cross-linguistic comparison XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Reference 31
- Resolution
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Observation f262486c-a9d8-4205-a021-39119f2fe0fb · outbound
This paper cites Common Voice: A Massively-Multilingual Speech Corpus.
Word stress in self-supervised speech models: A cross-linguistic comparison Common Voice: A Massively-Multilingual Speech Corpus
Reference 32
- Resolution
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Observation aac90d69-2441-4149-9778-d7dbd6413b65 · outbound
This paper cites Multilingual processing of speech via web services,.
Word stress in self-supervised speech models: A cross-linguistic comparison Multilingual processing of speech via web services,
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 717cd81a-0288-44ca-8d5c-c7b8316e5706 · outbound
This paper cites The CELEX lexical database (cd-rom),.
Word stress in self-supervised speech models: A cross-linguistic comparison The CELEX lexical database (cd-rom),
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation b5dc490d-85bd-4654-aa41-658afcbab095 · outbound
This paper cites A general method applicable to the search for similarities in the amino acid sequence of two proteins,.
Word stress in self-supervised speech models: A cross-linguistic comparison A general method applicable to the search for similarities in the amino acid sequence of two proteins,
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 09831dd3-d584-41b9-840a-2f8c6801e1ff · outbound
This paper cites librosa: Audio and music signal analysis in python,.
Word stress in self-supervised speech models: A cross-linguistic comparison librosa: Audio and music signal analysis in python,
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3a7177e6-aeba-4e9f-b341-c554a208b3fe · outbound
This paper cites Comparison of the predicted and observed sec- ondary structure of T4 phage lysozyme,.
Word stress in self-supervised speech models: A cross-linguistic comparison Comparison of the predicted and observed sec- ondary structure of T4 phage lysozyme,
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation aefd1ef9-7a7d-4fe7-98e7-73a65352ebd3 · outbound
This paper cites Assessing the accuracy of prediction algorithms for classifica- tion: an overview,.
Word stress in self-supervised speech models: A cross-linguistic comparison Assessing the accuracy of prediction algorithms for classifica- tion: an overview,
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fe03d088-feb2-415c-bd52-f1061ec09d07 · outbound
This paper cites The advantages of the Matthews cor- relation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,.
Word stress in self-supervised speech models: A cross-linguistic comparison The advantages of the Matthews cor- relation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 340532ac-a683-4a0a-b5d6-6016cbf60a3d · outbound
This paper cites Layer-wise analysis of a self-supervised speech representation model,.
Word stress in self-supervised speech models: A cross-linguistic comparison Layer-wise analysis of a self-supervised speech representation model,
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation 058773fb-1f64-44be-a1d3-72b90ed0e313 · outbound
This paper cites Wav2vec behind the scenes: How end2end models learn phonet- ics,.
Word stress in self-supervised speech models: A cross-linguistic comparison Wav2vec behind the scenes: How end2end models learn phonet- ics,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:44:27.105458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c279378d-2d07-4c4e-b878-2dbfc98eaa77 · outbound
This paper cites An information-theoretic analysis of self-supervised discrete repre- sentations of speech,.
Word stress in self-supervised speech models: A cross-linguistic comparison An information-theoretic analysis of self-supervised discrete repre- sentations of speech,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:44:27.089959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 83b49367-b0ef-4271-8a47-e593583a1034 · outbound
This paper cites Phonemic competition in end-to-end ASR models,.
Word stress in self-supervised speech models: A cross-linguistic comparison Phonemic competition in end-to-end ASR models,
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation a6ae5f4c-a0d0-48b9-bf76-b2531fdbe84b · inbound
Word stress in self-supervised speech models: A cross-linguistic comparison cites this paper.
Word stress in self-supervised speech models: A cross-linguistic comparison Word stress in self-supervised speech models: A cross-linguistic comparison
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.