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Paper Citation Record · LEDGER

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.04586.

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

pith.paper-citation-record.v1
2608.04586 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:13:04.256626Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aca777d5-1978-4caa-a246-0562188701a7 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 1

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no resolver link, observed 2026-08-08T18:13:04.166862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.166862Z digest=sha256:3bc969ce1e51dc5c8dd699bfe70c84425fd8309725f54e9dd118bbd8439c8247

Observation a4436134-4173-49f1-ac11-45641dc9d698 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 2

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unresolved
no resolver link, observed 2026-08-08T18:13:04.170870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.170870Z digest=sha256:1576cd53a96155ad05ab7d912a5a5f18a5a98126bee2ee533a122c94f93d29e6

Observation 98e142c7-0fa1-461e-9538-603fef5e8995 · outbound

This paper cites Proceedings of the 58th annual meeting of the association for computational linguistics , pages=.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.175825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.175825Z digest=sha256:7da2925e1675f0fcfc87e2aa11bdc065a4c1cf3ad4045a3df50c4a922bb94917

Observation 090e4f5b-a5f6-48b6-8b13-4f2c233b7f3c · outbound

This paper cites StepAudio 2.5 Technical Report.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders StepAudio 2.5 Technical Report

Reference 4

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unresolved
no resolver link, observed 2026-08-08T18:13:04.179577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.179577Z digest=sha256:09f9f9202a5f6802d65d360ee4fb8b58bcd0a9d59611f61b91ae6d45fbffd231

Observation 4ab619fd-5daf-46ef-8d3e-7b4b84b5f10c · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Common Voice: A Massively-Multilingual Speech Corpus

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.183760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.183760Z digest=sha256:18afcd0bee9edada92954e92144c722b691c4afdb3e36a5c15b711c795a0cdbe

Observation 44d23c1c-a91b-4697-8dd4-e8b8e76a9f58 · outbound

This paper cites and Zettlemoyer, Luke.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders and Zettlemoyer, Luke

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.187565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.187565Z digest=sha256:dfda496b87fe6392db719644a2cb11866130372ba40864a898bec442bcda149b

Observation e4dc8a72-4b62-4837-9199-9a3698ac4bc3 · outbound

This paper cites SLAM-LLM: A Modular, Open-Source Multimodal Large Language Model Framework and Best Practice for Speech, Language, Audio and Music Processing , year=.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders SLAM-LLM: A Modular, Open-Source Multimodal Large Language Model Framework and Best Practice for Speech, Language, Audio and Music Processing , year=

Reference 7

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no resolver link, observed 2026-08-08T18:13:04.191921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.191921Z digest=sha256:1aac3757a96df97b008bcdf652b6b35bd367027ccc609e9b5b135c1c14f7ea09

Observation aac095a1-cd66-4590-bdfb-72806bf3ca07 · outbound

This paper cites SeamlessM4T: Massively Multilingual & Multimodal Machine Translation.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Reference 8

Resolution
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no resolver link, observed 2026-08-08T18:13:04.195824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.195824Z digest=sha256:282adcf41e15e5cc53fe67d5f284bd58cdca8f15a99033a43897c8485ac702ea

Observation 2a9eedb4-4e22-4bb5-a3a2-63a39a7baa95 · outbound

This paper cites 2022 IEEE Spoken Language Technology Workshop , pages =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders 2022 IEEE Spoken Language Technology Workshop , pages =

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.199417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.199417Z digest=sha256:566868e31fdd36124f45562d3f1ac7b0a5c940df1107cccfac8021bf6f22283e

Observation 095511d2-67fa-4898-a4a0-fa1aa146d905 · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing , year =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders IEEE/ACM Transactions on Audio, Speech, and Language Processing , year =

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.202643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.202643Z digest=sha256:fa37dc2218b1a45cc2e0310601b893b0730c9e446a78fa4e94e0bdb9d84dd90f

Observation cf09eed8-3f6d-4b68-95d4-9cd4782f4164 · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , title =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , title =

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.206328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.206328Z digest=sha256:9159864b74243209b1b466e6c69c85f663dad1cd30096f0217258b717a8c65b8

Observation bf9eb413-04b2-4109-b15b-d2d83e8962e2 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.209378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.209378Z digest=sha256:2d6242d3b2b026fd558a6f4130b7d94b4ff2e98d9e198c8648194e836f26ad17

Observation 446110a8-b6ff-4681-a7c6-d5425b1659fd · outbound

This paper cites an unresolved cited work.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.212736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.212736Z digest=sha256:ae61a177d391ceadc95fd44405236abf8804b4239569c94f82bf6401ff1a29e9

Observation 96711162-948a-4750-bf6b-b3480c1c15a7 · outbound

This paper cites Proceedings of the Third Conference on Machine Translation , pages =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of the Third Conference on Machine Translation , pages =

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.216568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.216568Z digest=sha256:ec9c34d7b034904f1b9e16288f9d36c284200db85e500520f4b12a23077b4a82

Observation b9333835-df14-41ea-992d-9d695db1c626 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.220300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.220300Z digest=sha256:b5432d9879f4c5645f3d4b8e59fd906f19dae2d600c329520480b20328fcf8fa

Observation 23013f72-621d-4d29-a9a5-2b1c087941e0 · outbound

This paper cites Proceedings of the Seventh Conference on Machine Translation , pages =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of the Seventh Conference on Machine Translation , pages =

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.224335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.224335Z digest=sha256:f1070eb9339a51a78bebec12c6df9f9d527d963daeae040921a9dcb0986527b6

Observation b52bf9bd-833e-4c5d-ba50-251bdd140048 · outbound

This paper cites 2026 , eprint =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders 2026 , eprint =

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.227984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.227984Z digest=sha256:7d65914b1e9a1c1e138f9c703773fc09316388658a85c3d4881a7909d34484d9

Observation bb64f81b-daac-41fa-8bf5-1ab69eb141ca · outbound

This paper cites Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of Experts , year=.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of Experts , year=

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.231936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.231936Z digest=sha256:9e202513b79728556de3c7036e9e97654e2b05d7e102bd2bede0f24d91489dff

Observation a4034a0f-346e-4c03-87a7-e2a9530fd879 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Advances in Neural Information Processing Systems , volume=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.235866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.235866Z digest=sha256:f853732c774dbe39ff0aa291dedb463122f6dc50ca0bf7af82715c02a9b0e374

Observation 629adbcb-4e14-4409-9ead-f724a4590f72 · outbound

This paper cites Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.239559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.239559Z digest=sha256:1e98972d120690526557dabdf6b18541627921a39b3032d8a4601fb658ef6e4a

Observation 0a6942ac-1d07-40c1-907c-e68aa0f45d0b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Gemini: A Family of Highly Capable Multimodal Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.243310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.243310Z digest=sha256:d837729f50ce6eff6a982216676fd763c5850a46b8921182fa03de03a436e9b9

Observation a4c0e481-f60f-4a3f-aa8d-630e25e7d8c8 · outbound

This paper cites D ialect M o E : An End-to-End Multi-Dialect Speech Recognition Model with Mixture-of-Experts.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders D ialect M o E : An End-to-End Multi-Dialect Speech Recognition Model with Mixture-of-Experts

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.246933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.246933Z digest=sha256:58d4bc96141051ccca04f7a0e263f7efde6ac74e186305aea9f52acdd0e0a0d3

Observation f086ac1e-bbe2-476e-9628-995755f9b57d · outbound

This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages =

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.250348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.250348Z digest=sha256:d252c1e691561c36a9d407f9ef70f1c7edd669ff5e6d141a6b59d0ec9a401193

Observation cee2d190-c35f-4003-8802-0c17698f148e · outbound

This paper cites Proceedings of Interspeech , pages =.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Proceedings of Interspeech , pages =

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.253422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.253422Z digest=sha256:549c495e1b27ea9a8f8a7e301976fa9740e656f4a7c4e91e459ab25ed9a35c45

Observation 2123640f-5a7e-4fa7-8bcd-1ed270dcc59d · outbound

This paper cites Qwen3-Omni Technical Report.

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders Qwen3-Omni Technical Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T18:13:04.256626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:13:04.256626Z digest=sha256:c2b8adc9469d1bcd8e859f0d33da01f25fbfa7c74636b02755ac8009dc14e481

Pith citing papers

No inbound Pith citation observations are available.