Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:03:42.268259Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2602.11933.
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 2026-08-03T00:03:42.268259Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
27 of 27 outbound references displayed
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Observation 01e8a707-5d40-4a93-86a5-c687ddc5f162 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 6
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Observation 755f6d0b-3bf9-4849-88b5-f54257384cc8 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 9
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Observation 5f31e9da-b901-4ecb-8903-9048c7789548 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InProceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Tech- nologies, pages 1872–1881, Online
Reference 10
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Observation db03e11f-3428-4aed-9757-4ffa2312a369 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9049–9056, Singapore
Reference 11
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Observation 0cc7b15c-1301-4cad-8dba-b8f0f1a5d1d3 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 13
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Observation 80e97490-e1bc-46f1-a13e-342de402836f · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Improving the Robustness of Speech Translation
Reference 14
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Observation 805eaea5-a756-4b5a-adcf-35301df2293e · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text No Language Left Behind: Scaling Human-Centered Machine Translation
Reference 16
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Unavailable: canonical work link unavailable.
Observation 2d8e6b8b-77e7-477d-a579-34be31940f58 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InProceedings of the 2019 Con- ference of the North American Chapter of the Associa- tion for Computational Linguistics (Demonstrations), pages 48–53, Minneapolis, Minnesota
Reference 17
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Observation abf1504a-2a37-4e1a-a95b-bce7073d3c19 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InProceedings of the 18th International Conference on Spoken Lan- guage Translation (IWSLT 2021), pages 236–244, Bangkok, Thailand (online)
Reference 18
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Observation a2154f94-257a-4945-b425-1551281bf210 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 7175–7188, Singapore
Reference 19
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Unavailable: canonical work link unavailable.
Observation 0860309a-eaf8-45d6-9a45-3ed42fbafe71 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 20
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Unavailable: canonical work link unavailable.
Observation 11170d1d-705f-47e2-af11-d775127294dc · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 6989–6993
Reference 21
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Observation d192a0f6-cf48-4847-9d0d-5c70a46e75fe · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text CoVoST 2 and Massively Multilingual Speech-to-Text Translation
Reference 22
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Observation b91ae5d8-423d-4b7f-a0e7-30ab362ce284 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 23
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Unavailable: canonical work link unavailable.
Observation 8dbd42dd-f9a1-4af0-8189-f3598dd4281d · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Process- ing (ICASSP), pages 11041–11045
Reference 25
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Unavailable: canonical work link unavailable.
Observation 03cc9b81-6dd0-4177-bb20-c8163c72feda · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InProceedings of the 61st Annual Meet- ing of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7873–7887, Toronto, Canada
Reference 26
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Unavailable: canonical work link unavailable.
Observation 305adca4-58ad-4daa-b81f-013b9c9fce06 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text B CMRT Improves Robustness of Massively Pre-trained Models Table 2 shows the results of using No Language Left Behind (NLLB) (NLLB Team et al.,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 7243edb3-9674-4fb7-bf65-c458171efa64 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 2011
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Observation 4dc1f5bf-8a6e-4eb7-84be-095af4127d5f · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 2016
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Unavailable: canonical work link unavailable.
Observation a344d190-93e8-4927-9ca5-877909386aff · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 2018
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Observation 3c18ab66-ff27-4c0c-9d5d-577f5588846e · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 2019
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Observation 12f1fc59-0a3a-41af-b6d1-891933eb75dc · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Bridging the Modality Gap for Speech-to-Text Translation
Reference 2020
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Unavailable: canonical work link unavailable.
Observation 834e320e-b841-41cf-bca6-c7e64b4dc3d4 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InProceedings of the 18th International Conference on Spoken Language Trans- lation (IWSLT 2021), pages 1–29, Bangkok, Thailand (online)
Reference 2021
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Unavailable: canonical work link unavailable.
Observation afe2df89-1588-4612-8077-27b8c467f7dd · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Process- ing (ICASSP), pages 4298–4302
Reference 2022
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Unavailable: canonical work link unavailable.
Observation c6a820ec-8067-4536-aa61-c6865d1513a3 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Seamless: Multilingual Expressive and Streaming Speech Translation
Reference 2023
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Unavailable: canonical work link unavailable.
Observation 34ef8e28-1158-4a71-86a0-b330c4eaa6f3 · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text Unresolved cited work
Reference 2024
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Observation ca43c348-020b-44b4-98f4-8d6e979fdc5b · outbound
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text InFindings of the Association for Com- putational Linguistics: ACL 2025, pages 8579–8601, Vienna, Austria
Reference 2025
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.