Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:15.192056Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 5 inbound Pith citation observations for arXiv:2502.10373.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:15.192056Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T03:37:35.919178Z
83 of 83 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f75bea3d-0e18-46f1-ae58-516d7860546e · outbound
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models S., Anastasopoulos, A., Bojar, O., Borg, C., Carpuat, M., Cattoni, R., Cettolo, M., Chen, W., Dong, Q., Federico, M., Haddow, B., Javorsk \'y , D., Krubi \'n ski, M., Lam, T
Reference 1
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Common voice: A massively-multilingual speech corpus
Reference 2
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Reference 3
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Observation 05c91c5c-e561-46ef-8f0d-a045f5574be7 · outbound
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models wav2vec 2.0: A framework for self-supervised learning of speech representations
Reference 4
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Seamless: Multilingual Expressive and Streaming Speech Translation
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Reference 7
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models aidatatang\_200zh, a free Chinese Mandarin speech corpus
Reference 8
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models A., Purohit, S., Prashanth, U
Reference 9
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Reference 10
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
Reference 11
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Siminchik: A speech corpus for preservation of southern Quechua
Reference 12
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unleashing the killer corpus: experiences in creating the multi-everything AMI meeting corpus
Reference 13
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
Reference 14
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models WavLM : Large-scale self-supervised pre-training for full stack speech processing
Reference 16
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Joint prediction and denoising for large-scale multilingual self-supervised learning
Reference 17
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Improving massively multilingual ASR with auxiliary CTC objectives
Reference 18
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Towards robust speech representation learning for thousands of languages
Reference 19
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unsupervised Cross-Lingual Representation Learning for Speech Recognition
Reference 20
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Observation a9ad1c1a-fe92-4892-870b-d3fe7fbfc39d · outbound
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
Reference 21
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models and Marxer, R
Reference 22
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Leveraging transparency
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Flashattention-2: Faster attention with better parallelism and work partitioning
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models and Elibol, O
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling laws for multilingual neural machine translation
Reference 26
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling laws for neural machine translation
Reference 27
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models A., Duh, K., and Kaplan, J
Reference 28
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Observation 61cf9049-7348-4d5b-b46c-1cc2e3fb503d · outbound
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Reference 29
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling laws for discriminative speech recognition rescoring models
Reference 30
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling Laws for Autoregressive Generative Modeling
Reference 31
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling Laws for Transfer
Reference 32
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models TED-LIUM 3: Twice as much data and corpus repartition for experiments on speaker adaptation
Reference 33
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Deep Learning Scaling is Predictable, Empirically
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models The Babel Program
Reference 35
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling Laws for Neural Language Models
Reference 36
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
Reference 37
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Subword regularization: Improving neural network translation models with multiple subword candidates
Reference 38
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
Reference 39
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Reference 40
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models R., Black, A
Reference 41
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models YODAS : Y outube-oriented dataset for audio and speech
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Reference 43
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Unresolved cited work
Reference 44
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Prompting the hidden talent of web-scale speech models for zero-shot task generalization
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Reproducing W hisper-style training using an open-source toolkit and publicly available data
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling Speech Technology to 1,000+ Languages
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Less is More: Accurate Speech Recognition & Translation without Web-Scale Data
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Zero: Memory optimizations toward training trillion parameter models
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models ESP net: End-to-end speech processing toolkit
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models ReazonSpeech: A Free and Massive Corpus for Japanese ASR , 2023
Reference 76
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models H., Kolehmainen, J., Shivakumar, P
Reference 77
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OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Scaling vision transformers
Reference 78
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Reference 79
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Observation 7e14c2bf-15b0-414d-82c3-db0b87a0f570 · outbound
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Reference 80
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Observation b00cafe7-f8bd-45a9-a2a9-ceaa16be63be · outbound
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
Reference 81
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Observation b7bd0bd0-9f0e-4aa1-955e-de2696ea9856 · outbound
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Reference 82
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Observation 637c0c5a-7c84-4db8-a1ef-06b55093a573 · outbound
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Reference 83
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Observation cc235edc-9c73-4c81-b207-3b67131c1576 · inbound
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Reference 34
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Observation 682c347c-a3de-4380-a712-7fb23f8f29a6 · inbound
OLMoASR: Open Models and Data for Training Robust Speech Recognition Models OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models
Reference 8
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Observation e38287b1-a259-4c77-a19a-13d3f296dd67 · inbound
How Do Electrocardiogram Models Scale? OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models
Reference 2
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Observation b815b6f1-5d36-4fd4-a378-1c256563e780 · inbound
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Reference 10
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Observation 40068dc9-f8f7-4874-840f-5af6acd5933e · inbound
Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models
Reference 85
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