Paper Citation Record · LEDGER

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 4 inbound Pith citation observations for arXiv:2506.07722.

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

pith.paper-citation-record.v1
2506.07722 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:39.920773Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:39.836947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:00:00.427418Z

Reference resolution

34 of 34 outbound references displayed

verified exact2
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unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a891b23-5b45-4d8d-9e98-c952b2af5ae7 · outbound

This paper cites CAPT systems leverage advances in speech technology, curricu- lum management, and learner assessment to guide learn- ers toward improved pronunciation.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study CAPT systems leverage advances in speech technology, curricu- lum management, and learner assessment to guide learn- ers toward improved pronunciation

Reference 1

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Observation 94763446-c917-4d1e-b548-82cb5d521285 · outbound

This paper cites Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study

Reference 2

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Observation ad9ff6ae-c966-4459-9771-e0653f2c8f7f · outbound

This paper cites We have used simi- lar setup as described in the SUPERB [19] to train the model.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study We have used simi- lar setup as described in the SUPERB [19] to train the model

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.303022Z

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Observation 335eb5e2-65df-4409-b632-ffb3e57e28df · outbound

This paper cites Key trends emerge in mul- tilingual capability, synthetic data utility, and task complexity.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Key trends emerge in mul- tilingual capability, synthetic data utility, and task complexity

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.286418Z

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Observation 8d12426e-dc82-40ef-a65d-ed70dad4d399 · outbound

This paper cites an unresolved cited work.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:32:40.277955Z

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Observation a2371825-c08a-4d01-a958-3eea37c265ff · outbound

This paper cites an unresolved cited work.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Unresolved cited work

Reference 6

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Observation 731027fd-e1b6-41dc-8358-9d0dcd443fba · outbound

This paper cites The good- ness of pronunciation algorithm: a detailed performance study,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study The good- ness of pronunciation algorithm: a detailed performance study,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.220822Z

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Observation fc2583fa-041f-41cc-a016-a5af6df6fd24 · outbound

This paper cites Multitask learning for arabic dialects identification and machine translation,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Multitask learning for arabic dialects identification and machine translation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.212524Z

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Observation e0b707ff-ae61-4a7b-8e7d-134a841a02bd · outbound

This paper cites The ef- fectiveness of computer assisted pronunciation training for foreign language learning by children,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study The ef- fectiveness of computer assisted pronunciation training for foreign language learning by children,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.261531Z

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Observation 06e0dcc4-32ec-4ae6-9487-875c7bcd1538 · outbound

This paper cites Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic

Reference 10

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Observation 0afe9d30-ec0d-41e2-abf7-122637c53848 · outbound

This paper cites Phonetic rules in arabic script,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Phonetic rules in arabic script,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.253765Z

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Observation 98aaf063-b625-42b6-a45c-de64909d270c · outbound

This paper cites Improv- ing mispronunciation detection and diagnosis for non- native learners of the arabic language,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Improv- ing mispronunciation detection and diagnosis for non- native learners of the arabic language,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.245564Z

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Observation 3f715554-20c9-4843-9cb2-7a7d7c503dca · outbound

This paper cites Automatic speech recognition (asr) systems for learning arabic lan- guage and al-quran recitation: a review,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Automatic speech recognition (asr) systems for learning arabic lan- guage and al-quran recitation: a review,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.237289Z

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Observation 4394a36a-5cd0-46a9-ac68-4aeee0a93fbd · outbound

This paper cites Phone-level pronunciation scoring and assessment for interactive language learning,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Phone-level pronunciation scoring and assessment for interactive language learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.228997Z

Source-reported events for the cited work

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Observation 106a614b-fb86-4a1a-8522-122a8f3ffcd0 · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Common Voice: A Massively-Multilingual Speech Corpus

Reference 15

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Observation 0efb065e-68e7-44a3-98d3-4c3d4dc5298f · outbound

This paper cites Computer-assisted pronunciation train- ing—speech synthesis is almost all you need,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Computer-assisted pronunciation train- ing—speech synthesis is almost all you need,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.162298Z

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Observation 3be1f473-31b8-4fb0-974d-da89d416101c · outbound

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

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.204130Z

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Observation dccdca72-102c-4c98-b7d3-03751a6aacba · outbound

This paper cites This phonetizer was optimized for phonetic coverage in speech synthesis.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study This phonetizer was optimized for phonetic coverage in speech synthesis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.311438Z

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Observation c5cadb84-a335-4c67-94d4-a95995afa1bb · outbound

This paper cites The mgb-2 challenge: Arabic multi- dialect broadcast media recognition,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study The mgb-2 challenge: Arabic multi- dialect broadcast media recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.196002Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9ab56dd-039f-4934-a476-57abf65b16dd · outbound

This paper cites To obtain the phoneme sequence during inference, CTC greedy decoding is used.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study To obtain the phoneme sequence during inference, CTC greedy decoding is used

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.294458Z

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Observation ae45ffb6-2b2e-4c16-b399-da2966f504e7 · outbound

This paper cites A novel framework for mispronunciation detection of ara- bic phonemes using audio-oriented transformer models,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study A novel framework for mispronunciation detection of ara- bic phonemes using audio-oriented transformer models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.187880Z

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Observation 5a02c00c-598b-4479-8642-8c2b65ab202f · outbound

This paper cites Empirical study on mis- pronunciation detection for tajweed rules during quran recitation,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Empirical study on mis- pronunciation detection for tajweed rules during quran recitation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.179305Z

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Observation 01797866-de9c-423c-9d33-6b40c9916921 · outbound

This paper cites Development of automated tajweed checking system for children in learning quran,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Development of automated tajweed checking system for children in learning quran,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.170808Z

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Observation bfc0ae1d-f486-4eee-aac7-c0953aef070a · outbound

This paper cites Quran Recitation Recognition using End-to-End Deep Learning.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Quran Recitation Recognition using End-to-End Deep Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:32:40.073439Z

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Observation 0b4425ae-000d-4fb3-a0ab-3f9f889c4b49 · outbound

This paper cites SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:32:40.053241Z

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Observation 5d566ff9-c290-4b91-97d6-d58bd158109d · outbound

This paper cites Phonetic inventory for an arabic speech corpus,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Phonetic inventory for an arabic speech corpus,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.153953Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d322bade-c2f7-44ad-ac55-251e1008d849 · outbound

This paper cites Superb: Speech processing universal perfor- mance benchmark,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Superb: Speech processing universal perfor- mance benchmark,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.144374Z

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Observation 0e17ded7-25b1-4efc-933c-81b870deacdb · outbound

This paper cites Connectionist temporal classification: labelling unseg- mented sequence data with recurrent neural networks,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Connectionist temporal classification: labelling unseg- mented sequence data with recurrent neural networks,

Reference 28

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Observation 4b6703ef-7cad-48e8-b85c-b9373d592172 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 29

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Observation 397e8d91-a71d-4e4f-878e-274767e920ff · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.135187Z

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Observation 065b7b39-9e24-43ab-9e5b-1bac059e707b · outbound

This paper cites mhubert-147: A compact multilingual hubert model,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study mhubert-147: A compact multilingual hubert model,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.125688Z

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Observation a45afb52-334f-4e97-97dc-75b0a9f6339d · outbound

This paper cites A large-scale evaluation of speech foundation models,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study A large-scale evaluation of speech foundation models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.116341Z

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Observation c451165b-f600-4d6f-aa79-3e39785e77d6 · outbound

This paper cites Cnn-rnn-ctc based end-to-end mispronunciation detection and diagnosis,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Cnn-rnn-ctc based end-to-end mispronunciation detection and diagnosis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.106955Z

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Observation ac9f1923-b49f-4179-969d-ce447edf6f28 · outbound

This paper cites Mispronunciation detec- tion and diagnosis in l2 english speech using multidistri- bution deep neural networks,.

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study Mispronunciation detec- tion and diagnosis in l2 english speech using multidistri- bution deep neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:32:40.098179Z

Source-reported events for the cited work

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Pith citing papers

Observation 94763446-c917-4d1e-b548-82cb5d521285 · inbound