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Paper Citation Record · LEDGER

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2504.12254.

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

pith.paper-citation-record.v1
2504.12254 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:38:53.998687Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:00:48.079804Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:00:48.324173Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb6a8d24-03f3-46e0-b583-48925958b032 · outbound

This paper cites Arabic speech recognition with deep learning: A review.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Arabic speech recognition with deep learning: A review

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.338176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.872651Z digest=sha256:ccc60d7a2cc0a03e317a33887b75c1f799bac8c09a601e8b598eedd9a689dc7d

Observation 2dccb9c7-1dbe-4876-9759-dd45550c6633 · outbound

This paper cites Automatic speech recognition using advanced deep learning approaches: A survey.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Automatic speech recognition using advanced deep learning approaches: A survey

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.328714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.876946Z digest=sha256:786953693bb710dec6eda0acf4b578e54d997861faeb2dd50c129616daaa303c

Observation c90e97d2-b336-4549-96b8-6b509319ad40 · outbound

This paper cites Industrial applications of automatic speech recognition systems.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Industrial applications of automatic speech recognition systems

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.319422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.880991Z digest=sha256:ed05b27aec5b8c6415675537ce50f1d81779763fb061722dc45996ff84964f48

Observation 7c35a37a-5aba-4451-9c7b-badc7ec8a02e · outbound

This paper cites A study on speaker-adaptive speech recognition.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning A study on speaker-adaptive speech recognition

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.310182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.884933Z digest=sha256:3daab84046aa074f6b952d49d9176e31994241f2b4d772e67f3fe548a16af3d5

Observation 08a527d0-e989-43b8-a576-290196301c0e · outbound

This paper cites On authorship authentication of arabic articles.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning On authorship authentication of arabic articles

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.300774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.889226Z digest=sha256:3c962372860d489cfc14569e945d068b72ee1abde85f3fa726c70c461364bbb2

Observation 3f2136aa-752c-4c2b-b797-36969fd2785b · outbound

This paper cites Deep learning for arabic nlp: A survey.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Deep learning for arabic nlp: A survey

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.291708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.893869Z digest=sha256:67b51d4cd7d1b19be38cbe0fa37b59628151839a401c31490a78a96bc33de1fb

Observation 4df18c22-4140-4d43-8819-4abbfb0bdbcb · outbound

This paper cites Masc: Massive arabic speech corpus, 2021.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Masc: Massive arabic speech corpus, 2021

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.282548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.898665Z digest=sha256:74a4ffed3169d65962e9dc29748dae4d2870a69319eb441847c49d4c4ca034b6

Observation 93e60fe9-a740-46a6-a546-a3053f7ec09d · outbound

This paper cites Sada: Saudi audio dataset for arabic.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Sada: Saudi audio dataset for arabic

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.272274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.902583Z digest=sha256:1aa955d803e3cb907cfd784c8f37f84eb25c741a827ccfb3361cac600dbe9170

Observation 708f35f8-9b8a-4bad-bcd5-047dcdf027dd · outbound

This paper cites Exploring Transformers for Large-Scale Speech Recognition.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Exploring Transformers for Large-Scale Speech Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.906432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.906432Z digest=sha256:f65e247fb9a60437000eadc3cc126cb9fb7912acea4b663ce3fca5377e3e9378

Observation c0148c0c-b171-4c79-b41d-d57e9d38c931 · outbound

This paper cites Transformer in action: A comparative study of transformer-based acoustic models for large scale speech recognition applications.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Transformer in action: A comparative study of transformer-based acoustic models for large scale speech recognition applications

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.263019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.911736Z digest=sha256:cb3cd1cda779f896b64ccead0989b84f18e5155241e288b8ea844da76515a56f

Observation d3562aa8-4085-43bb-835b-bd1ab13dc64f · outbound

This paper cites Learning from flawed data: Weakly supervised automatic speech recognition.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Learning from flawed data: Weakly supervised automatic speech recognition

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.253722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.915631Z digest=sha256:da584ce8436ab2c21060d98ce7200b3d5602da3c33a1ea9928f628e7e38b4060

Observation 8795af33-1621-412d-bb13-fb6533b37fbb · outbound

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

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.919600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.919600Z digest=sha256:3a0cc8d6aeec683e66a1e33d2e9109f2b8165daacd66903458a103eaacacdb12

Observation 1fb01653-5275-4526-97b9-6aeff89b64f6 · outbound

This paper cites Advances in dialectal arabic speech recognition: A study using twitter to improve egyptian asr.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Advances in dialectal arabic speech recognition: A study using twitter to improve egyptian asr

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.244089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.923799Z digest=sha256:25266db4f449e2f5f69c21f9b4a8524a51e07ad3fe6367d639004ca7ab0c8c77

Observation ce8c9c2f-3a7f-4687-a2d9-77b298ebc304 · outbound

This paper cites Hanai, Yu Zhang, James R.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Hanai, Yu Zhang, James R

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.234270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.927795Z digest=sha256:6452a5676a8eb47dfb55f8b773eeab91ac1dcee5c71f86177acd39d527a58f76

Observation 11758706-9d31-4406-8389-6bca067c6c32 · outbound

This paper cites Morphological decomposition in arabic asr systems.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Morphological decomposition in arabic asr systems

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.224284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.931495Z digest=sha256:50a50773596e6c402efe1090db47ff8c61ccdd9c64eb00cc34c156551671f84c

Observation 5d95216f-bf35-46a7-a321-2ea076155417 · outbound

This paper cites Improving continuous arabic speech recognition over mobile networks dsr and nsr using mfccs features transformed.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Improving continuous arabic speech recognition over mobile networks dsr and nsr using mfccs features transformed

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.215095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.935130Z digest=sha256:4f842e03d88ed9c053f45bcc3658ca2c9eb2417328bb3aed7f79ce11f813b734

Observation bae14eb5-4d03-4341-9350-4d274a4afad7 · outbound

This paper cites Arabic speech recognition by end-to-end, modular systems and human.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Arabic speech recognition by end-to-end, modular systems and human

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.205485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.938597Z digest=sha256:4547911dc8b641c16cc9f6611da0a284a4af479ac6c3e2b11010da231f7d52e4

Observation da783e19-375b-4a7c-abf5-6893c2da1a3b · outbound

This paper cites Morpheme-based feature-rich language models using deep neural networks for lvcsr of egyptian arabic.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Morpheme-based feature-rich language models using deep neural networks for lvcsr of egyptian arabic

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.195131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.942310Z digest=sha256:caf6d4da9ebc9ec070b48d69a2bfe5fad367ee3ff71b847f05179119dc9c04ac

Observation 5bf95c93-29a8-492e-a23d-700a68f40f08 · outbound

This paper cites Development of the arabic loria automatic speech recognition system (alasr) and its evaluation for algerian dialect.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Development of the arabic loria automatic speech recognition system (alasr) and its evaluation for algerian dialect

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.185274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.945720Z digest=sha256:dcfb236baca489943c349d103885f0cd5b1c72614086cd09db3bbf00df74c63e

Observation 1cd13b5d-a6df-4488-a629-db7871db4e66 · outbound

This paper cites DARTS: Dialectal Arabic Transcription System.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning DARTS: Dialectal Arabic Transcription System

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:38:54.081533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.949614Z digest=sha256:0091b106d9ddb2dbad4e65df242fbee176e6f02417d0b90462018fda3e22bbb3

Observation 34dbd15f-dc10-443e-9d09-b24cc0c7646e · outbound

This paper cites Towards end-to-end speech recognition with recurrent neural networks.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Towards end-to-end speech recognition with recurrent neural networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.175329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.953406Z digest=sha256:d91be343df99e67be532258eb5949dbb8c30c02db7f64e059fd8c81d8603f0f4

Observation cfc7656a-ae88-416b-acc5-e697e724e067 · outbound

This paper cites Alsayadi, Abdelaziz A.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Alsayadi, Abdelaziz A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.165663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.956879Z digest=sha256:b2907250993f3595fcdf5adb8f04f703c3d1a8ebc954e358a5c3da3acae6dfa5

Observation 56047b21-f902-4fba-ac31-baee41356979 · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Robust speech recognition via large-scale weak supervision

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.156139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.960515Z digest=sha256:22914553000faad494f408710ee2c2927e06810ef60dc425490fa301247502f0

Observation 1d60a666-2fd7-4324-a324-4679373753aa · outbound

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

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.963998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.963998Z digest=sha256:3ef3fcfa618053c8ada2cb6ad41201e578163476e5c26917503a0e53af124ac3

Observation 333e5c96-3aac-4b33-baef-617061bcefd9 · outbound

This paper cites Deep transfer learning for automatic speech recognition: Towards better generalization.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Deep transfer learning for automatic speech recognition: Towards better generalization

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.140214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.967421Z digest=sha256:ad6cb6ddbd5dd80746bc173d6776ee9259e3f5725c84a06fc15d1f4add196ced

Observation a0686dc0-edd1-46c0-99f4-d5bd525bcb52 · outbound

This paper cites The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.970993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.970993Z digest=sha256:4222a632a5d689a5c234da07de9c40838f8863aff15f40bf33659187d9846418

Observation 1260c168-220b-46b3-905e-6764d7681cbe · outbound

This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.974812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.974812Z digest=sha256:05effe06fe3968469c73e42590032c39609764603f03093b4c5e7a53eacaa3a3

Observation 08aa8b18-eb9c-4761-8692-df81e8cd45b0 · outbound

This paper cites Toward domain-invariant speech recognition via large scale training.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Toward domain-invariant speech recognition via large scale training

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.130528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.979103Z digest=sha256:b2365d0198eb5a04771a9845f99789081033af04a3f5ff1cce8a17219760d7cd

Observation 9a3ea429-f8e3-4cae-af73-b1390119ec63 · outbound

This paper cites Rethinking Evaluation in ASR: Are Our Models Robust Enough?.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Rethinking Evaluation in ASR: Are Our Models Robust Enough?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.982594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.982594Z digest=sha256:dcb2e60ab583a8a92111be29c01f9b0bd51db80b8d640585e5baf42e41b5f01c

Observation d7d6abb2-442c-4cc3-87ec-93bd86dd3784 · outbound

This paper cites Open Universal Arabic ASR Leaderboard.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Open Universal Arabic ASR Leaderboard

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.986888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.986888Z digest=sha256:b1153eb784fa2c1cbd61bf0da054f1dc106e172e3d158c2c93e6b25045c53964

Observation a53f4efd-00a9-4c57-9e8b-b3dcb6a0ceb8 · outbound

This paper cites Ardila, M.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Ardila, M

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.990447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.990447Z digest=sha256:85cacd3026fe575df17b65738be06358f1144f06b08b6ef387b9101a75011538

Observation fe09954e-f0e4-484c-aadf-dc5a4236f20c · outbound

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

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning The mgb-2 challenge: Arabic multi-dialect broadcast media recognition

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:38:54.111079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:38:53.994941Z digest=sha256:c0b5ea787a0061355caa7338d25f0f674100965d90c46975ee0f632232bef2dc

Observation aee34a09-49e1-41bf-a604-7e410690b41c · outbound

This paper cites Casablanca: Data and Models for Multidialectal Arabic Speech Recognition.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Casablanca: Data and Models for Multidialectal Arabic Speech Recognition

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:53.998687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:53.998687Z digest=sha256:3bbbff474ce18d46891d033aa824ccdc8fb7f03c40e10fc43acf9c5ab38c2566

Pith citing papers

Observation becfbcfe-cbd6-49f1-9bf3-377a99e7c8a5 · inbound

NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task cites this paper.

NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:00:48.328342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T12:00:48.079804Z digest=sha256:fa3fbdb5f99ebd69804e3c9812ae1af7dce3d9970135889d43e08572b0690f25