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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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
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=sha256:8e6bf84c82f7ddf83375a49b23cbc2004642975e61f83c10ecc6cbc8c855b48b

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

Resolution
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=sha256:44d9e4dd46ce774d366789c1482f2cd2f560ecaa1692e1364e1e06b6d3e272a0

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=sha256:747629a84bf20a2946edfd7c4b734493f6f536a291f5205bbbb80256d4fecc02

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

Resolution
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=sha256:6dd049685f228e3271991802e7d0cf1e4d28d8835f60a95145341870cd1d4b9f

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=sha256:4779c2ace55fc88c28c16955cb5b66cca997fe260fbf81ba94c008519fac9cc5

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:f1fd49766e687dc2a8c8e73b6f7c0ed4939fc3d4bd92f2bbc3665f99db8f4dae

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

Resolution
unresolved
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=sha256:53ccb1a904820137af8080cb264b25261149c67bf9ff0db3821e510bf31b6209

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
unresolved
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:efc5489a0ddf290bab839f619ab813dee03d49fad12556802533e31f8042a2ca

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=sha256:7129414aafe718541aef09c76762382378df3a19e917bf5be0030b24e863ce73

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:aedc35303ee245ce69d33f7ad30478f3ab38fba2bab069e36fc6eb99ee58433c

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=sha256:4d7fc30e79f70e515861051c25dd0cc31f727c98f7cdfbf2698a8bd14a2ae01d

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=sha256:4bf50cab8b060a5eeccc7c744dd5f5029e9e7699f65e42287571bfe7849c30ac

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:aaec50f2a22e95230c5564c2a0cabf37b26db24f733f105ec04268d8ba5d5642

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=sha256:5f9b2b9b0d3f886398a2473e2a7b76dfd6dd230ae1b72ab85b67aa379b4327b9

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=sha256:5f93c59d3639f595cb8f5fa3a32b92272bed9f06a56d93a1a66c0db54321a962

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=sha256:190c2799febdb688b6c6a0d9fa3abc4b7b8aec9870f6b454050f811f5a240ae7

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=sha256:16c5b46c1e6e469c9145acdb38a98775c843675dd41eb7e8f2bb314bd7578a5e

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=sha256:2e38b0af29142708c41ec7f54eb52a741c5905aef25bc1ec19e5ff7bd7e7d92e

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=sha256:1199999bd538fcacfdcf65be5cea0650b5c1045098e5ca5a8d37b14c5f29fe81

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=sha256:3e34913a02b23f704bbd351454e64559574dd43eb6042f84eb4ac0d7c54d919f

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=sha256:850f7a1a63f58500e7c50ce9e012b5b369a81d1560a08b0fa6402a12c9200662

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=sha256:7bff8c1d960c312da05a3911504ef0eca1e0c88e450f0b54e13ae5cd7bd99d83

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=sha256:842218bd54a4ec5980cce16affba1b84ae41a2d6407064c09e7435d23e721da6

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=sha256:48e73a23e664ca15a22148119be7fca973153e498e445a50e23df75d8713063d

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=sha256:1d79f744affd1631bcf89753687acce098faffa203233bf3bcbb5f27dc42945f

Pith citing papers

No inbound Pith citation observations are available.