Paper Citation Record · LEDGER

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.13977.

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

pith.paper-citation-record.v1
2507.13977 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:19:00.129670Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy44
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ec2fc6c-16c1-4d01-ae22-e1e5320ac3e6 · outbound

This paper cites Nvidia nemo: A toolkit for conversational ai,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Nvidia nemo: A toolkit for conversational ai,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:15.708509Z

Source-reported events for the cited work

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

Observation 09e65aba-380e-42a8-acf9-272d775b16a0 · outbound

This paper cites The development of acoustic models for command and control arabic speech recognition system,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic The development of acoustic models for command and control arabic speech recognition system,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:15.362016Z

Source-reported events for the cited work

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

Observation 699163d5-53d6-422c-b475-64fdcb67b9c4 · outbound

This paper cites A fpga-based hmm for a discrete arabic speech recognition system,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic A fpga-based hmm for a discrete arabic speech recognition system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:15.002664Z

Source-reported events for the cited work

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

Observation 9bfcef75-1f65-4745-ad9a-56ef29a3e525 · outbound

This paper cites New hybrid system (supervised classifier/hmm) for isolated arabic speech recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic New hybrid system (supervised classifier/hmm) for isolated arabic speech recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:14.533384Z

Source-reported events for the cited work

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

Observation fc128572-7207-4960-aace-f66ffc7445c1 · outbound

This paper cites A complete kaldi recipe for building arabic speech recognition systems,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic A complete kaldi recipe for building arabic speech recognition systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:14.104088Z

Source-reported events for the cited work

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

Observation 062e336f-4de0-4097-88d8-1450a6a571c4 · outbound

This paper cites Arabic isolated word speaker dependent recognition system,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Arabic isolated word speaker dependent recognition system,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:13.722410Z

Source-reported events for the cited work

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

Observation 4c21a289-8ab7-4149-bae3-7f290d7b2097 · outbound

This paper cites Recent advances in asr applied to an arabic transcription system for al-jazeera,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Recent advances in asr applied to an arabic transcription system for al-jazeera,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:13.317305Z

Source-reported events for the cited work

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

Observation 0cd6a640-eb6e-4b6a-bc64-da37f47c00f3 · outbound

This paper cites Development of the mit asr system for the 2016 arabic multi-genre broadcast challenge,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Development of the mit asr system for the 2016 arabic multi-genre broadcast challenge,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:12.998255Z

Source-reported events for the cited work

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

Observation 7d770283-7f9b-4f55-af76-f1f85ffa7d6d · outbound

This paper cites A comparative study for arabic speech recognition system in noisy environments,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic A comparative study for arabic speech recognition system in noisy environments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:12.617526Z

Source-reported events for the cited work

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

Observation 1e328dc3-553f-4d7d-8e75-a2540f7c6f4f · outbound

This paper cites Automatic speech recognition system for tunisian dialect,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Automatic speech recognition system for tunisian dialect,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:12.203676Z

Source-reported events for the cited work

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

Observation f075b2ce-e079-47b0-b14d-ab7ba12ccf3a · outbound

This paper cites Development of a TV broadcasts speech recognition system for qatari Arabic,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Development of a TV broadcasts speech recognition system for qatari Arabic,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:11.814072Z

Source-reported events for the cited work

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

Observation 461638d0-3181-4997-8ced-bdfc3f00ba5b · outbound

This paper cites Ahmed, Y.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Ahmed, Y

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:11.369295Z

Source-reported events for the cited work

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

Observation 6e15b2e1-f72e-4cd1-8f72-7f5e2f8f5ea1 · outbound

This paper cites Bidirectional deep architecture for arabic speech recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Bidirectional deep architecture for arabic speech recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:11.049391Z

Source-reported events for the cited work

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

Observation a9937502-9488-4aee-82ba-dc0a9055dac8 · outbound

This paper cites Analyzing phonetic and graphemic representations in end-to-end automatic speech recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Analyzing phonetic and graphemic representations in end-to-end automatic speech recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:10.719850Z

Source-reported events for the cited work

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

Observation 4ec219af-8c07-4dea-90d1-db85dea6edea · outbound

This paper cites Arabic speech recognition using end-to-end deep learning,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Arabic speech recognition using end-to-end deep learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:10.327174Z

Source-reported events for the cited work

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

Observation e83c0f53-6803-4316-a694-ade8a286e84d · outbound

This paper cites Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:10.006154Z

Source-reported events for the cited work

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

Observation 8195a79b-14f6-4d93-943d-a3a66e295619 · outbound

This paper cites Aswat: Arabic audio dataset for automatic speech recognition using speech- representation learning,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Aswat: Arabic audio dataset for automatic speech recognition using speech- representation learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:09.759444Z

Source-reported events for the cited work

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

Observation d38a13eb-27ed-4d9e-a9e4-9d1f2d37212f · outbound

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

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Arabic speech recognition by end-to-end, modular systems and human,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:09.475598Z

Source-reported events for the cited work

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

Observation 4c829388-70f2-4ec5-87dd-5be03cc1cbf7 · outbound

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

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic The mgb-2 challenge: Arabic multi-dialect broadcast media recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:09.210537Z

Source-reported events for the cited work

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

Observation a4cefcc4-0930-4993-9ddb-f80dffbbc363 · outbound

This paper cites A time delay neural net- work architecture for efficient modeling of long temporal contexts,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic A time delay neural net- work architecture for efficient modeling of long temporal contexts,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:08.944351Z

Source-reported events for the cited work

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

Observation 2dd4c8f0-9912-4b16-957f-a6754a3d0b7e · outbound

This paper cites Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:08.617306Z

Source-reported events for the cited work

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

Observation e161d424-a957-44cb-b4d8-219681a5b9c9 · outbound

This paper cites Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Connection- ist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:08.235647Z

Source-reported events for the cited work

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

Observation 22cdc974-f770-4cab-9135-1a73c010f8c4 · outbound

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

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Arabic speech recognition by end- to-end, modular systems and human,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:07.877920Z

Source-reported events for the cited work

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

Observation 67a1e399-95dc-45df-9478-c0f8b3459b19 · outbound

This paper cites data2vec: A general framework for self-supervised learning in speech, vision and language,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic data2vec: A general framework for self-supervised learning in speech, vision and language,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:07.577325Z

Source-reported events for the cited work

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

Observation fbc4f5fb-801e-4fce-af7e-e7702a435644 · outbound

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

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Common voice: A massively- multilingual speech corpus,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:07.099934Z

Source-reported events for the cited work

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

Observation c7eb10c1-1529-4e26-823b-947047160e01 · outbound

This paper cites N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:06.737870Z

Source-reported events for the cited work

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

Observation 6fa97f53-736b-4006-843a-862fa1e511c4 · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Robust speech recognition via large-scale weak super- vision,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:18:56.982421Z

Source-reported events for the cited work

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Observation 82b2c623-1fde-4a04-99b1-82b8bde58dc1 · outbound

This paper cites Fleurs: Few-shot learning evaluation of universal representations of speech,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Fleurs: Few-shot learning evaluation of universal representations of speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:06.344860Z

Source-reported events for the cited work

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

Observation 2606ba32-3498-47b5-afd1-cce35fc0f886 · outbound

This paper cites ArTST: Arabic text and speech transformer,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic ArTST: Arabic text and speech transformer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:05.953108Z

Source-reported events for the cited work

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

Observation 4389b88f-0f94-4730-a5c1-29b38c805eb5 · outbound

This paper cites Mediaspeech: Multilanguage asr benchmark and dataset,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Mediaspeech: Multilanguage asr benchmark and dataset,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:05.503839Z

Source-reported events for the cited work

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

Observation bc7b6781-1371-4d81-a80d-f71ff98114bf · outbound

This paper cites Quartznet: Deep automatic speech recognition with 1d time-channel separable convolutions,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Quartznet: Deep automatic speech recognition with 1d time-channel separable convolutions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:05.072712Z

Source-reported events for the cited work

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

Observation 14d60b48-1703-4945-b283-81f81a0bece0 · outbound

This paper cites Masc: Massive arabic speech corpus,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Masc: Massive arabic speech corpus,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:04.635959Z

Source-reported events for the cited work

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

Observation 774880bf-1dc6-4032-a2d9-b7abccd73cb8 · outbound

This paper cites Deep speech: Scaling up end-to-end speech recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Deep speech: Scaling up end-to-end speech recognition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:04.192354Z

Source-reported events for the cited work

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

Observation 88c8a917-524b-4159-a53d-2c75d5dc1920 · outbound

This paper cites Kaldi speech recognition toolkit,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Kaldi speech recognition toolkit,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:03.836979Z

Source-reported events for the cited work

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

Observation a2b52a5b-869c-48ab-ba43-22f9f83b6639 · outbound

This paper cites Espnet: End-to-end speech processing toolkit,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Espnet: End-to-end speech processing toolkit,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:03.513617Z

Source-reported events for the cited work

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

Observation d478aa97-1ec5-45be-9ffa-3d77c65be0ba · outbound

This paper cites Attention is all you need,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Attention is all you need,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:03.154759Z

Source-reported events for the cited work

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

Observation 46856916-f2fc-4f67-b8cd-a9b3f0cb66a1 · outbound

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

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Conformer: Convolution- augmented transformer for speech recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:02.833559Z

Source-reported events for the cited work

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

Observation e87ecc6a-566e-4082-82a5-0281fbefb4b9 · outbound

This paper cites Fast conformer with linearly scalable attention for efficient speech recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Fast conformer with linearly scalable attention for efficient speech recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:02.512085Z

Source-reported events for the cited work

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

Observation e43c90ea-741a-43dc-8d0a-9a26438eb7d8 · outbound

This paper cites Tarteel ai’s everyayah dataset,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Tarteel ai’s everyayah dataset,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:02.137402Z

Source-reported events for the cited work

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

Observation b8916de2-b405-4eae-9f9f-3e97f5810820 · outbound

This paper cites Speech data processor (sdp) toolkit,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Speech data processor (sdp) toolkit,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:01.884235Z

Source-reported events for the cited work

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

Observation 8d36385f-51da-43ec-869f-31436453255c · outbound

This paper cites NeMo (Inverse) Text Normalization: From Development to Production,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic NeMo (Inverse) Text Normalization: From Development to Production,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:01.617466Z

Source-reported events for the cited work

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

Observation ea82cc43-bcd4-4d3c-a213-6f8005bdf3d3 · outbound

This paper cites Sequence transduction with recurrent neural networks,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Sequence transduction with recurrent neural networks,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:18:59.238462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 012eb567-a94b-47ae-8da9-31d87fc66623 · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:18:59.414178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51993240-99aa-47f8-a169-2d290972ad78 · outbound

This paper cites Stt en fastconformer hybrid transducer-ctc large p&c,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Stt en fastconformer hybrid transducer-ctc large p&c,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:01.333303Z

Source-reported events for the cited work

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

Observation 8f011abb-1754-415a-b4cb-dbd2bb7655ed · outbound

This paper cites Stt es fastconformer hybrid transducer-ctc large p&c,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Stt es fastconformer hybrid transducer-ctc large p&c,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:00.833390Z

Source-reported events for the cited work

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

Observation 6bf39319-fc29-41e6-b349-f2a2307066fc · outbound

This paper cites Seamlessm4t: Massively multilingual & multimodal machine transla- tion,.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Seamlessm4t: Massively multilingual & multimodal machine transla- tion,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:00.480022Z

Source-reported events for the cited work

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

Observation c11d03e0-7c94-45d4-b97e-2bb4e71d597e · outbound

This paper cites Available: https://hf.co/nvidia/stt en fastconformer hybrid large pc.

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic Available: https://hf.co/nvidia/stt en fastconformer hybrid large pc

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:01.098968Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.