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Paper Citation Record · LEDGER

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2509.00094.

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

pith.paper-citation-record.v1
2509.00094 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:22:20.684951Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:16:09.216191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:11:03.665834Z

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d3a7432-0dc0-40fb-92f3-9f02160a38ae · outbound

This paper cites Automatic Pronunciation Assessment -- A Review.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Automatic Pronunciation Assessment -- A Review

Reference 1

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Observation 20693085-bea7-44ef-ae48-f83e979d73f8 · outbound

This paper cites Enhancing usability of capl system for quran recitation learning.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Enhancing usability of capl system for quran recitation learning

Reference 2

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Source-reported events for the cited work

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Observation a7e18a64-fb83-48ca-8d56-2e117507b18c · outbound

This paper cites Qdat: adatasetforreciting the quran,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Qdat: adatasetforreciting the quran,

Reference 3

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Observation 2d2d8b39-59d5-47ef-8587-036398d4e6c5 · outbound

This paper cites Automatic detection of some tajweed rules,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Automatic detection of some tajweed rules,

Reference 4

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Observation 2310db9b-f917-4bdf-a434-5ef947d166f8 · outbound

This paper cites Evaluation of the pronunciation of tajweed rules based on dnn as a step towards interactive recitation learning,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Evaluation of the pronunciation of tajweed rules based on dnn as a step towards interactive recitation learning,

Reference 5

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Observation f5ba9b09-c6d5-4dab-abc3-f0b9ca49c3b7 · outbound

This paper cites The tarteel dataset: crowd-sourced and labeled quranic recitation,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning The tarteel dataset: crowd-sourced and labeled quranic recitation,

Reference 6

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Source-reported events for the cited work

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Observation d56b750a-0ba9-4152-a490-3bdb6869bc6c · outbound

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

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study

Reference 7

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Unavailable: canonical work link unavailable.

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Observation 3b4c3beb-4878-472e-802f-eb7c48492e23 · outbound

This paper cites A computer aided pronunciation learning system for teaching the holy quran recitation rules,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning A computer aided pronunciation learning system for teaching the holy quran recitation rules,

Reference 8

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Source-reported events for the cited work

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Observation e44ac37c-29b1-45ed-8d44-30af155bc086 · outbound

This paper cites Computeraidedqur’anpronunciationusingdnn,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Computeraidedqur’anpronunciationusingdnn,

Reference 9

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Source-reported events for the cited work

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Observation c7750530-a404-4580-94b9-49dd304e1ac6 · outbound

This paper cites Recognition of holy quran recitation rules using phoneme duration,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Recognition of holy quran recitation rules using phoneme duration,

Reference 10

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Observation 032fa7cc-5224-4154-966b-d20f662c534b · outbound

This paper cites Improving automatic forced alignment for phoneme segmentation in quranic recitation,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Improving automatic forced alignment for phoneme segmentation in quranic recitation,

Reference 11

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Source-reported events for the cited work

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Observation 3eb7445a-9e22-4ff3-bc2b-cc3a69f2c5d1 · outbound

This paper cites Empirical study on mispronunciation detection for tajweed rules during quran recitation,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Empirical study on mispronunciation detection for tajweed rules during quran recitation,

Reference 12

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Source-reported events for the cited work

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Observation b92cde1e-24c1-40de-b0a8-801e242cfac3 · outbound

This paper cites Developing speech recog- nition system for quranic verse recitation learning software,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Developing speech recog- nition system for quranic verse recitation learning software,

Reference 13

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Source-reported events for the cited work

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Observation aa1d2a60-e942-42c0-83a2-6d425e5e4ee0 · outbound

This paper cites Reducing the dimensionality of data with neural networks,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Reducing the dimensionality of data with neural networks,

Reference 14

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Source-reported events for the cited work

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Observation 8a6fcc2a-d8b1-4dfa-b93c-69eaf150460c · outbound

This paper cites Neural networks and physical systems with emer- gent collective computational abilities,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Neural networks and physical systems with emer- gent collective computational abilities,

Reference 15

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Source-reported events for the cited work

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Observation 0907fce2-8937-4ac5-a5e6-f8af15598837 · outbound

This paper cites Attention is all you need,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Attention is all you need,

Reference 16

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Observation af6be107-1afe-438b-b053-a2912aa0ab51 · outbound

This paper cites Bert: Pre- training of deep bidirectional transformers for language understanding,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Bert: Pre- training of deep bidirectional transformers for language understanding,

Reference 17

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Source-reported events for the cited work

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Observation 9fd4856e-f8aa-4d72-be37-0229cb13e30a · outbound

This paper cites wav2vec: Unsupervised Pre-training for Speech Recognition.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning wav2vec: Unsupervised Pre-training for Speech Recognition

Reference 18

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Observation 008fe6a5-8f72-4d21-821b-58f5e9c12009 · outbound

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

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 19

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Observation 9deb145b-5d8f-44c6-a778-135df11c596b · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 20

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Observation b5af3982-f53c-43bf-9c5d-5a5e0cf644e9 · outbound

This paper cites W2v-bert: Combining contrastive learning and masked lan- guage modeling for self-supervised speech pre-training,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning W2v-bert: Combining contrastive learning and masked lan- guage modeling for self-supervised speech pre-training,

Reference 21

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

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 22

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Observation a3d590cd-7c9c-41a1-b4f6-5d074df33508 · outbound

This paper cites Automatic detection of some tajweed rules,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Automatic detection of some tajweed rules,

Reference 23

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Observation c761eb22-8620-439e-82cd-152fc055c463 · outbound

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Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 24

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Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 25

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This paper cites Algorithm 1 Tasmeea Algorithm Require: text_segments = [ s1, s2,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Algorithm 1 Tasmeea Algorithm Require: text_segments = [ s1, s2,

Reference 26

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This paper cites Silerovad: pre-trainedenterprise-gradevoiceactivitydetector (vad), number detector and language classifier,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Silerovad: pre-trainedenterprise-gradevoiceactivitydetector (vad), number detector and language classifier,

Reference 27

Resolution
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This paper cites Powerset multi-class cross entropy loss for neural speaker diarization,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 28

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This paper cites Audiomentations: Apythonlibraryforaudio data augmentation,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Audiomentations: Apythonlibraryforaudio data augmentation,

Reference 29

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Observation bac39baf-173c-4bb7-a431-4f47869d4ecc · outbound

This paper cites Whisper base arabic quran (automatic speech recognition for quranic recitation),.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Whisper base arabic quran (automatic speech recognition for quranic recitation),

Reference 30

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This paper cites Robust speech recognition via large-scale weak supervi- sion,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Robust speech recognition via large-scale weak supervi- sion,

Reference 31

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Observation 5ba13f24-f015-4435-876d-e93b43c22ded · outbound

This paper cites Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,

Reference 32

Resolution
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Source-reported events for the cited work

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Observation 5f6ce706-9b4d-453d-9c60-33ef71873200 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 33

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Observation 8a4b3c09-4ceb-4e1d-9f3f-98c541014688 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:21.058577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.613547Z digest=sha256:fa6725324053f8722c1064ff668543d3d9711144164a6d9780193442bf00110c

Observation 1d5b49a1-9fd2-4c0b-ba00-b822a7f516d2 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:21.049769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.616400Z digest=sha256:70e26d3fe0c62f1eb9b6c42d99bc8402f9e605881561e675944d4590ba245925

Observation 5cef8268-e784-4d1d-8b28-bff16554a91a · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:21.040209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.619416Z digest=sha256:97d95d9477425a952cfc323c067fd2416f9ec4efdf29890303c49f586bf15c93

Observation 30f0db34-c586-44b0-80bb-d66732c6351d · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:21.031032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.622501Z digest=sha256:c6dc8ed5b02988f8c04859fba9892cbbe9e4a3265cd696ae11d2ca09f49acc6f

Observation 0a901902-6788-4f7c-b52a-e6bb5e7f5782 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:21.021574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.625621Z digest=sha256:30bbcee97fb2b95c72dc38b12e8a918f54ca0e43f21f900d3f882023d9f4be3e

Observation 8eafd98b-938a-407a-85d8-97a393fcfd8d · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:21.012904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.629546Z digest=sha256:df7822325af97b86b44aeb7286d947997f5e0d6f201ded7e90f729825079a1ea

Observation 9b9aabb4-9a2a-470d-a022-2c0dfbc352d7 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:21.003952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.632388Z digest=sha256:c82f761697c8e9a16b46160843b4f1a8dae7b8be272471ca3122a0d53c33a557

Observation 3ca80447-2fde-44be-bad0-4b6c58124830 · outbound

This paper cites Copyright may be transferred without notice, after which this version may no longer be accessible.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Copyright may be transferred without notice, after which this version may no longer be accessible

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:22:20.995148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.635343Z digest=sha256:6ceec695d955baa137a53dd10344e52fafcd8e97a76fc03bcd357faa003912cc

Observation 4175d71e-9899-4f8a-87f7-3943f06548eb · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.985420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.638492Z digest=sha256:d1109769c7e9bc95065bb6ffd24aae4f194b81c451753d79d0dec9af8061e024

Observation 5f1ff330-8786-45e2-be1b-ccc20b8ed833 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.976772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.641315Z digest=sha256:94d0303ea935b0d999d2837205778491af397fccd7cb6644a41b2d114281ee4f

Observation e19fb90d-b8aa-483b-8374-909f440652da · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.967941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.644294Z digest=sha256:aacc6dfcf870b4bd3954fb49634a80efc122cef2f618a54a1b23b70613b02d89

Observation f6a69ab4-dc4b-4f97-918d-a0e88220dced · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.959328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.647240Z digest=sha256:d8da9bf7b1973a72c81458f7c071524c8bdc267e244b64d72367fe996948e69c

Observation 58643661-1f09-4138-935a-feb8422900ba · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.950607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.649953Z digest=sha256:ef3ef008d91612e0c7eb4857a17791805ef4150fe60eef9163581fdf8c10df4e

Observation 3d570ed8-afbc-4ed4-9430-cb3b7ecb1eb9 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.941883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.652956Z digest=sha256:017dcf06a134e9237df1a5479c7f35d46443a3c21654ddd6180cd4a9e1f54a9d

Observation e0dee708-e2f3-4766-a5a4-b0f35a5d9039 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.933265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.655769Z digest=sha256:a34b4195d7ae026f1dd87ec37f3081e2f0cc9a2823fa740206a5b725e7f0ac62

Observation e22a9192-54be-43d5-89d4-7a44a0f0f377 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.923949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.658735Z digest=sha256:1028873e758d6feaa4da777a9450a8de7ce53a2886690bf99d0b88b116a7b9c9

Observation fe6892a1-2fe5-4c3d-a2e6-e1a479913e6b · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.915102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.661530Z digest=sha256:39d1ca42de57a0c390ced8d4fff01b6a93b877e3fc9772bdc746dc22f83ba67e

Observation 0d91358b-93b4-4249-aa1e-84b9203a7903 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.906389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.664314Z digest=sha256:dde4008b98c585344e5d57eadd1e7fa7208cc5341023ece7f5b9dc442f8e8941

Observation 364267db-95de-40d6-bc23-40ba3b33fe30 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.897794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.667195Z digest=sha256:63fa21d42a35ae32c9b989b0588ddaadc030d7c88f53f28c45c929019886c40a

Observation 1e2e741c-2357-4c14-b9ef-fdce6373687f · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.888621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.670051Z digest=sha256:995dab5b8f5b6564d3980cc64f1c70c7026efd2bffa43b53daf5a03f61f1d922

Observation 00b66b39-76d9-4f31-b4da-390023c8b433 · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.878917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.672835Z digest=sha256:da63bad4c95fc6ce1cc47efd783767a035a520d53f51a3d598c182435caa0e77

Observation 2761ae5d-d229-42be-9a7d-97fd6f0e471a · outbound

This paper cites an unresolved cited work.

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:22:20.869715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:22:20.676353Z digest=sha256:9ca928f97c06d4083f1c8df51c2a42459f547f57a90779904bf08987eea7143d

Pith citing papers

Observation 2a7c3302-cf31-42c2-a816-b8106e09c0b5 · inbound

Tadabur: A Large-Scale Quran Audio Dataset cites this paper.

Tadabur: A Large-Scale Quran Audio Dataset Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:03.672675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T02:16:09.216191Z digest=sha256:3a9b6f95dc921658e60e8d8de4177fd7bd0056a4e0bc0265f2415267255656e9