Paper Citation Record · LEDGER

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2605.25596.

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

pith.paper-citation-record.v1
2605.25596 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:02:46.337235Z

measured 37 of 37 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:02:46.128206Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T21:43:59.730844Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9df6f90-0938-4f47-a94a-c7fade283ec2 · outbound

This paper cites Most downstream systems therefore focus on phoneme prediction or end-to-end word modeling.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Most downstream systems therefore focus on phoneme prediction or end-to-end word modeling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.120584Z

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Unavailable: canonical work link unavailable.

Observation 382ac9c6-8a37-42d6-b58f-e9be94db14d5 · outbound

This paper cites Multilingual Phonological Feature Recognition with Self-Supervised Speech Models.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Multilingual Phonological Feature Recognition with Self-Supervised Speech Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.128206Z

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Observation 9b1b52f9-289a-4cfc-870c-bcff16bf17bb · outbound

This paper cites Datasets We train and evaluate on four languages spanning three fam- ilies: Germanic (English, German), Romance (Spanish), and Slavic (Czech).

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Datasets We train and evaluate on four languages spanning three fam- ilies: Germanic (English, German), Romance (Spanish), and Slavic (Czech)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.136870Z

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Observation 4a353e9b-0c19-455b-ac37-a704b71bc3c5 · outbound

This paper cites All evaluations are conducted at the phone-segment level within the shared phonological feature space.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models All evaluations are conducted at the phone-segment level within the shared phonological feature space

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-04T05:02:46.149100Z

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Observation 9972d01c-8dac-4f95-ac8c-8e2f620b0af3 · outbound

This paper cites 2) show that improvements ex- tend across the entire phonological inventory rather than be- ing concentrated in a single category.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models 2) show that improvements ex- tend across the entire phonological inventory rather than be- ing concentrated in a single category

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.154738Z

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Observation 55302314-e52c-4618-b670-988db234f662 · outbound

This paper cites an unresolved cited work.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Unresolved cited work

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-04T05:02:46.160138Z

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Observation ac623746-6e71-491f-931b-102193cd1a11 · outbound

This paper cites an unresolved cited work.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.166187Z

Source-reported events for the cited work

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Observation 59fc715e-9746-45c4-b415-a0798ed29246 · outbound

This paper cites an unresolved cited work.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.142642Z

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Observation 2e82eeb9-7504-4022-a3c8-bdc18e66a962 · outbound

This paper cites Unsupervised Cross-Lingual Representation Learning for Speech Recognition,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Unsupervised Cross-Lingual Representation Learning for Speech Recognition,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.175779Z

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Unavailable: canonical work link unavailable.

Observation b7921d10-6f28-4cc3-a4ec-8a642fab09db · outbound

This paper cites Panphon: A resource for mapping ipa segments to articulatory feature vectors,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Panphon: A resource for mapping ipa segments to articulatory feature vectors,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.183778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceb94fa1-03ad-4dbb-80eb-86021aaeb00e · outbound

This paper cites Leveraging allophony in self-supervised speech models for atyp- ical pronunciation assessment,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Leveraging allophony in self-supervised speech models for atyp- ical pronunciation assessment,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.193810Z

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Observation cbb01fee-6b86-45a4-beee-d91805f8d457 · outbound

This paper cites Self-supervised models of speech infer universal articulatory kinematics,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Self-supervised models of speech infer universal articulatory kinematics,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.198873Z

Source-reported events for the cited work

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Observation 00910ac9-395a-47b7-a635-4ffee448772c · outbound

This paper cites The internal organization of speech sounds,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models The internal organization of speech sounds,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.204539Z

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Observation 6f7ed886-0bff-4111-bd9f-59b52e45ef4b · outbound

This paper cites Phonet: A Tool Based on Gated Recurrent Neural Net- works to Extract Phonological Posteriors from Speech,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Phonet: A Tool Based on Gated Recurrent Neural Net- works to Extract Phonological Posteriors from Speech,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.211610Z

Source-reported events for the cited work

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Observation 9585ef67-e58c-4d9a-8084-afb6b68bcb38 · outbound

This paper cites Phonological Feature Detection for US English using the Phonet Library,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Phonological Feature Detection for US English using the Phonet Library,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.218265Z

Source-reported events for the cited work

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Observation 4172908a-2c15-4dbf-ba9d-685a4be11fd6 · outbound

This paper cites Weakly supervised phonological features for pathological speech analysis,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Weakly supervised phonological features for pathological speech analysis,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.224198Z

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Observation a43e93c1-8e20-4375-8612-75ff92d41f0e · outbound

This paper cites Leveraging ipa and artic- ulatory features as effective inductive biases for multilingual asr training,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Leveraging ipa and artic- ulatory features as effective inductive biases for multilingual asr training,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.229615Z

Source-reported events for the cited work

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Observation 2ff932a4-c230-4a75-bf73-5fc9ad0fd925 · outbound

This paper cites Improving cross-lingual phonetic representation of low-resource languages through language sim- ilarity analysis,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Improving cross-lingual phonetic representation of low-resource languages through language sim- ilarity analysis,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.234611Z

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Observation 97b4c7c6-4ec6-463e-9ace-7136d43e6d20 · outbound

This paper cites Phonological features in discriminative classification of dysarthric speech,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Phonological features in discriminative classification of dysarthric speech,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.239388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5cc6b1-3ba0-40f3-bc12-bb6e9333c0eb · outbound

This paper cites Measuring phonological precision in children with cleft lip and palate.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Measuring phonological precision in children with cleft lip and palate

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.243852Z

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Observation b56c6aee-aa7b-49fa-bd4a-b3025982b272 · outbound

This paper cites Con- trastive learning approach for assessment of phonological preci- sion in patients with tongue cancer using mri data,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Con- trastive learning approach for assessment of phonological preci- sion in patients with tongue cancer using mri data,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.249615Z

Source-reported events for the cited work

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Observation c38791e7-cd51-4fa2-95dc-d50e6bb28276 · outbound

This paper cites Audio–vision contrastive learning for phonological class recognition,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Audio–vision contrastive learning for phonological class recognition,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.254492Z

Source-reported events for the cited work

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Observation b09be40b-a3f3-4157-a0c3-fc162d5791f4 · outbound

This paper cites Arias-Vergara,Analysis of Pathological Speech Signals.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Arias-Vergara,Analysis of Pathological Speech Signals

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.259901Z

Source-reported events for the cited work

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Observation f46d54a7-c7ea-48e7-b56f-71881b975ff5 · outbound

This paper cites Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.264773Z

Source-reported events for the cited work

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Observation 1e8556a9-8b6e-402a-bfbc-770bc37ec33b · outbound

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

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.270327Z

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Observation 81382e3d-71b8-4765-b99c-55fe55b95ffe · outbound

This paper cites Common phone: A multilingual dataset for robust acoustic modelling,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Common phone: A multilingual dataset for robust acoustic modelling,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.276100Z

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Observation 7aba0aa0-35d0-4cda-8a96-8d67dcfd48d7 · outbound

This paper cites Crowdsourcing latin american spanish for low-resource text-to- speech,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Crowdsourcing latin american spanish for low-resource text-to- speech,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.287626Z

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Observation 59fd6d3d-bb95-4140-88ce-1cdff86fcc0c · outbound

This paper cites Darpa timit acoustic-phonetic continous speech corpus cd-rom. nist speech disc 1-1.1,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Darpa timit acoustic-phonetic continous speech corpus cd-rom. nist speech disc 1-1.1,

Reference 28

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Observation b6668a29-28eb-4ac1-b2b6-88ff845b7421 · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Lib- rispeech: an asr corpus based on public domain audio books,

Reference 29

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Observation 1dff8d1b-412f-42fe-b978-592e1280fee7 · outbound

This paper cites Carina–a corpus of aligned german read speech including annotations,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Carina–a corpus of aligned german read speech including annotations,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.307695Z

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Observation ecc15058-aeea-4814-9695-b44381503881 · outbound

This paper cites Com- mon voice: A massively-multilingual speech corpus,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Com- mon voice: A massively-multilingual speech corpus,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.313167Z

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Observation 252803a3-aac3-4860-95b8-c98708aa8361 · outbound

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

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models ParlaSpeech-HR - a freely available ASR dataset for Croatian bootstrapped from the ParlaMint corpus,

Reference 32

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Observation 941df780-83e9-4e43-8393-c959fa9c3ade · outbound

This paper cites Par- czech 3.0: A large czech speech corpus with rich metadata,.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models Par- czech 3.0: A large czech speech corpus with rich metadata,

Reference 33

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Observation aede9838-eb4c-4e07-8eda-5847a892c127 · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.329258Z

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Observation 84c5456b-4e6a-42cd-8218-ab4d9729529e · outbound

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

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models V oxPopuli: A large-scale multilingual speech corpus for representation learn- ing, semi-supervised learning and interpretation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:46.337235Z

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Pith citing papers

Observation 9f17d111-5ece-4df5-b023-17c430d88f2f · inbound