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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 2026-08-17T06:30:58.91139+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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.872651Z digest=sha256:672c6633e96036431bb50056d3cef3772247c77b5ed4b2bd53588ee10beda3df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.876946Z digest=sha256:c3c7c1bfc6502b2e36d0959dbd6d0fdabf2f8bf5445b5e2abc883c31c66818c4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.880991Z digest=sha256:0600eb5e602f2b2a63f3c7dbe5a4bce5441cf91741ff682b8db924c237b9c52f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.884933Z digest=sha256:873e3d8cd867c0b0dc339d3d478fd7c2dc079aa607c1d7cc62c2134ba5ea4cb1

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.889226Z digest=sha256:b89f75a00ea709729920aba096a05910f12905362a649d325448562237ca1d28

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.893869Z digest=sha256:0ba6cd897611eca8d98803927e34c36843abc8e2beab114ae64f8f98abc5d289

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.898665Z digest=sha256:11770fc747583a623f447e32996f7bfdc2b423a468365245e62e9f7bcde9075d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.902583Z digest=sha256:e566a4429248638de2dcbb792513480f8c0ab2e55cd459c2068f722f83d6cca7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.911736Z digest=sha256:984513137748083b901fe21f899c63c17862b4ae1d4848b9b2bfc510f19872b5

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.915631Z digest=sha256:f41707bfd9e7c77aa3fdb121a3e831785b8eb532bdca150bc74c769b2c2c2167

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.923799Z digest=sha256:1ec978ffc673e3f636d80a92695ca28e94c97edd8a64f4be8be432aa6cc60fe3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.927795Z digest=sha256:a03a18f9c1caface3ced24cdd72a976c212c99b3a07b62e3c42804a2cdfb588b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.931495Z digest=sha256:7233f6af02ca5bd03c07e451ccd45e161d698fa3587ed4aca2bca9730011b107

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.935130Z digest=sha256:b9ca518b33399f0e2961aec2c3771b3889cf722cf01b9fabeb2ab72de98c3b13

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.938597Z digest=sha256:aaa0212b8f54822c5f62f393f84f6ac2bf90ee16b0a9b48c81ad4043ca2efca2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.942310Z digest=sha256:d7320c349fbb0184e7205d9a37b7dc9db9de53599fa7bc549b2c74e0592056c3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.945720Z digest=sha256:51db934e75fc34e0f816a94476932d72d5be0e448c1c4cc9e288461e949558a9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.949614Z digest=sha256:5f5f5d779130e0f0074165806c4206c4764a65b410c59118718a46dd48107b31

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.953406Z digest=sha256:ce32d40d33560eb7c57a6227c370a487e47ee0104d5c3536c8dd1ba5270f2698

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.956879Z digest=sha256:9447b2a95b7e2c107f8d5c5f0741e740a4a63aad4380f85e522633488da14507

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.960515Z digest=sha256:9b97beb9a9edc725bd6ffb2612c0b7d1b8a5db439a861c9e44ba75807b985157

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.967421Z digest=sha256:63acb8ded1deedf113fead2e1265741039365e8fa84772d198190bfab5268e47

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.979103Z digest=sha256:a4bc744fb4f3917527e765e58a1559461e6b8ca156f40148d9b109ae97e6c681

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T12:38:53.994941Z digest=sha256:239eae0b4aa06e76fb66c4e56a4db0d0517db8416fc8e4234cd25a4083e4b61a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-05T12:00:48.079804Z digest=sha256:2f98868c984ea624c9fbc830f1aacfbccdd436e08964a60be9086c9c8c1fbc64