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Paper Citation Record · LEDGER

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.06810.

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

pith.paper-citation-record.v1
2501.06810 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:48.761459Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3739f07-38f0-4dea-9253-4f9268934b7a · outbound

This paper cites Challenges and opportunities in processing low resource languages: A study on persian,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Challenges and opportunities in processing low resource languages: A study on persian,

Reference 1

Resolution
verified fuzzy
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Observation 2fb7a444-669d-4d5a-9720-c9f589141eb5 · outbound

This paper cites An investigation on ini- tialization schemes for multilayer perceptron training using multilingual data and their effect on asr performance,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis An investigation on ini- tialization schemes for multilayer perceptron training using multilingual data and their effect on asr performance,

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 8f8e8cb9-2075-4ebf-aabe-0a6c7c793981 · outbound

This paper cites Multilingual models with language embeddings for low- resource speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Multilingual models with language embeddings for low- resource speech recognition,

Reference 3

Resolution
verified fuzzy
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Observation cf61d46e-18b5-4859-814f-520d7fda5b3b · outbound

This paper cites Towards a common under- standing of contributing factors for cross-lingual transfer in multilingual language models: A review,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Towards a common under- standing of contributing factors for cross-lingual transfer in multilingual language models: A review,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation ca6dc598-3cfb-4348-b082-6ed8be07a1d9 · outbound

This paper cites Choosing transfer languages for cross- lingual learning,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Choosing transfer languages for cross- lingual learning,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation ed5e83ef-8b83-41c1-a250-b56c4e5613d1 · outbound

This paper cites Sequence-based multi-lingual low resource speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Sequence-based multi-lingual low resource speech recognition,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation a188b3d8-69b8-43af-a1b7-f8fc1289cc5a · outbound

This paper cites Exploiting adapters for cross-lingual low-resource speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Exploiting adapters for cross-lingual low-resource speech recognition,

Reference 7

Resolution
unresolved
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Source-reported events for the cited work

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Observation 8a5a0aca-ada2-4487-b734-7692046a6fbd · outbound

This paper cites Improving cross-lingual transfer learning for end-to-end speech recognition with speech translation,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Improving cross-lingual transfer learning for end-to-end speech recognition with speech translation,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 56cddc3c-fa16-4bea-a1be-622d6750385f · outbound

This paper cites Cross-lingual subspace gaussian mixture models for low-resource speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-lingual subspace gaussian mixture models for low-resource speech recognition,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 5bce6c28-546b-4d70-97be-698e83435d48 · outbound

This paper cites Cross-language end-to-end speech recognition research based on transfer learning for the low-resource tujia language,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-language end-to-end speech recognition research based on transfer learning for the low-resource tujia language,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation a179d624-80bd-40bb-8036-c93544ac6a12 · outbound

This paper cites Linguistic disparities in cross-language automatic speech recognition transfer from arabic to tashlhiyt,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Linguistic disparities in cross-language automatic speech recognition transfer from arabic to tashlhiyt,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 0fb97615-631f-4c3b-9cd6-c22b88dae1de · outbound

This paper cites Cross-lingual portability of chinese and english neural network features for french and german lvcsr,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-lingual portability of chinese and english neural network features for french and german lvcsr,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 38879c6b-a992-49d0-8e8c-f91e4477a418 · outbound

This paper cites Development of multi- lingual asr using globalphone for less-resourced languages: The case of ethiopian languages.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Development of multi- lingual asr using globalphone for less-resourced languages: The case of ethiopian languages

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 6a758c52-cbe6-4075-b12f-19ba41c87118 · outbound

This paper cites Using large self-supervised models for low-resource speech recognition.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Using large self-supervised models for low-resource speech recognition

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d2292761-081a-4b81-bb5b-9d44d3b91899 · outbound

This paper cites Cam: A cross-lingual adaptation framework for low-resource language speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cam: A cross-lingual adaptation framework for low-resource language speech recognition,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 54c57682-5ae5-477f-a35c-2b836ae06847 · outbound

This paper cites Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 5701ed31-a533-4aad-b8de-5dde616f2a9b · outbound

This paper cites Multilingual speech recognition for turkic languages,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Multilingual speech recognition for turkic languages,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation fc24f119-d708-4778-a972-1c5a95453b6f · outbound

This paper cites A comparison between morphological complexity measures: typological data vs. lan- guage corpora,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis A comparison between morphological complexity measures: typological data vs. lan- guage corpora,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation e4994095-995c-48fa-9187-2e1ad39cb941 · outbound

This paper cites Frequency of occurrence of phonemes in conversational english,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Frequency of occurrence of phonemes in conversational english,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 30f951d9-d0cc-4c76-a1d2-4c0373d727c3 · outbound

This paper cites Grambank reveals the importance of genealogical constraints on linguistic diversity and highlights the impact of language loss,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Grambank reveals the importance of genealogical constraints on linguistic diversity and highlights the impact of language loss,

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 2026-08-18T06:34:40.430872+00:00.

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Observation 1a5e0f47-f4a6-46bc-9807-7c8ac18f7a90 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Conformer: Convolution-augmented transformer for speech recognition,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 13eb623b-e672-4f55-881b-aa3a98963357 · outbound

This paper cites Un- supervised cross-lingual representation learning for speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Un- supervised cross-lingual representation learning for speech recognition,

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 2026-08-18T06:34:40.430872+00:00.

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Observation 04668f57-15ee-4804-8425-6dabb51620c3 · outbound

This paper cites Documenting and researching endangered languages: The pangloss collection,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Documenting and researching endangered languages: The pangloss collection,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 8e85b324-ff3a-4810-8889-12bbfc0b462a · outbound

This paper cites Methods of language docu- mentation in the dobes program,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Methods of language docu- mentation in the dobes program,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2b6bc41d-8d0d-43bf-a510-cab0426858d9 · outbound

This paper cites Simple and effective zero-shot cross- lingual phoneme recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Simple and effective zero-shot cross- lingual phoneme recognition,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.614967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e1db5414-d839-4cd8-b2fc-37a5176f473b · outbound

This paper cites Dif- ferentiable allophone graphs for language-universal speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Dif- ferentiable allophone graphs for language-universal speech recognition,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.602747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 895a698d-6df8-41ee-b0a2-950921c1dafa · outbound

This paper cites Universal automatic phonetic transcription into the international phonetic alphabet,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Universal automatic phonetic transcription into the international phonetic alphabet,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.588218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.389861Z digest=sha256:1c2a0ce2418900c939ada92ebcf17bc0b3fd9f67c0b2bdd018292cc5a51062b9

Observation 00b76a82-8a21-4cb0-a996-3a6d493bc6a8 · outbound

This paper cites Phono- logically aware neural model for named entity recognition in low resource transfer settings,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Phono- logically aware neural model for named entity recognition in low resource transfer settings,

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 2026-08-18T06:34:40.430872+00:00.

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Observation 425577c8-118e-41da-b1e8-415f5d0d27b8 · outbound

This paper cites Kernel density estimation and its application,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Kernel density estimation and its application,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.561720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5b6346f4-8614-4a69-a9d9-c0a069077d9c · outbound

This paper cites Improving the bandwidth selection in kernel equating,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Improving the bandwidth selection in kernel equating,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.547563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.493377Z digest=sha256:cd8a9ce65be3037dd4f51e5a810bf05d1a78c553ad33867c80187b6ef42e80ee

Observation 256bbd50-f1f3-49b6-9c05-1887c22c2272 · outbound

This paper cites Haspelmath, M.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Haspelmath, M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.489590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.529255Z digest=sha256:fa34f427e7b807f5977b2c9074b0d60a9fcf191eb3f2acef2338ca3bcd2f88ac

Observation e585ed15-ab43-4df4-ada1-8b13efd34115 · outbound

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

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Common voice: A massively-multilingual speech corpus,

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:48.533634Z digest=sha256:74f8748ef1d4293bfe53fc5776b4e4fb76b0a2e05d4a7b7077adfc10ff784a60

Observation 04151838-dd52-4218-8a6c-6c063b63dab0 · outbound

This paper cites Epitran: Precision g2p for many languages,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Epitran: Precision g2p for many languages,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.390219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.539159Z digest=sha256:2d81d1f913d2faa96bca2a227ed9134ba421e3cef9d53e45caf7c2a09c25676e

Observation 801a50a5-7172-417d-ba98-b06211130d89 · outbound

This paper cites Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:48.543948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:48.543948Z digest=sha256:e355e0fae97ce7941aeb984ef7c77cbdbd004e7ffb387e8703f9aa0f0246f37f

Observation 242e01bd-8194-4ae2-847f-2f459a75052e · outbound

This paper cites Attention is all you need,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Attention is all you need,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.377744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.550392Z digest=sha256:7586f305185bda59f45ebe07532a089d503a1835cd13d7b03a5d9b7e7c20b6f9

Observation c7bd2ca7-e35b-47b3-9f8c-ea9799f48e02 · outbound

This paper cites Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.365819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.555383Z digest=sha256:5d810f33df1d5032384af8b4e00a26eae42bf75aedf25302a69600b295723568

Observation 277598f8-a488-4a72-926b-90a2f8220546 · outbound

This paper cites Phoneme level language models for sequence based low resource asr,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Phoneme level language models for sequence based low resource asr,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.354937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.654358Z digest=sha256:6ed1106c51f4a921eff6c089c8b0fcbe9a5a3f664cfe91d7c6e6193d1bcfe051

Observation 632cc006-a6da-4e79-8219-3d28773b84ea · outbound

This paper cites Roman jakobson’s conception of «sprachbund»,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Roman jakobson’s conception of «sprachbund»,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.305273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.730156Z digest=sha256:936781eac1313f83ad25d267a047d266af70222047ec729f50e6585cfa7e339e

Observation ad100439-f87d-4916-b91e-ea72bffd1af2 · outbound

This paper cites The history of turkic,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis The history of turkic,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.167744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.735559Z digest=sha256:6b7add9b9d26d875211f7cc2f0ea0b82556fb2f30c83b57612b11489dce097e7

Observation 63ec02fe-15fb-48be-9fe4-a6f4cb0343d2 · outbound

This paper cites On the kurdish language,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis On the kurdish language,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.155396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.739813Z digest=sha256:3e40fdeb28c6cea80ee86c0652d79dafa86ae4d3efd22d7fa6a2c4efe2d3f120

Observation 7194ab1f-9b29-4ad5-89c5-8fe6ec59afc7 · outbound

This paper cites The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:53:48.915567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.744919Z digest=sha256:4cd777bb0ae01168f7677fc09612c4ba8570535eb9c3c8dd470c0ca1d018c62d

Observation ac2ccf1d-87ed-4c19-8f71-8c9caceff47a · outbound

This paper cites Improving automatic speech recognition performance for low-resource languages with self-supervised models,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Improving automatic speech recognition performance for low-resource languages with self-supervised models,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.143142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.749226Z digest=sha256:4521746d2a9b89ecb58aa0d24819471ca278d45050a49bcdc0d4362b5a976827

Observation c9cfbc7d-c7e3-4453-9944-c047f52c9c39 · outbound

This paper cites Multilingual self- supervised speech representations improve the speech recognition of low-resource african languages with codeswitching,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Multilingual self- supervised speech representations improve the speech recognition of low-resource african languages with codeswitching,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:49.039642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.753313Z digest=sha256:b6029f965d6a0acccd2088b897618312e73e6fa6346416f10ed0017a21c442b7

Observation c0c69210-2371-4a2a-95c9-729ba58d672d · outbound

This paper cites Meta-adaptable- adapter: Efficient adaptation of self-supervised models for low-resource speech recognition,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis Meta-adaptable- adapter: Efficient adaptation of self-supervised models for low-resource speech recognition,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:48.950041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:53:48.757667Z digest=sha256:51abbc889b39e4ad0aab0ced9ddc55d5791f277b16355d192097824889fcb249

Observation 1aca26f0-8eab-4fb4-bc72-07e26d0daac6 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:48.761459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:48.761459Z digest=sha256:68b98058670efbd497386958f2190de0f0e10fbf34a5c76ab1f2d407f104f061

Pith citing papers

No inbound Pith citation observations are available.