Paper Citation Record · LEDGER

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR

As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.12602.

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

pith.paper-citation-record.v1
2501.12602 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:05:15.689849Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

39 of 39 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66e5d473-f179-47a1-a316-b64618d72278 · outbound

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

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.347505Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 266adaf0-6cbc-4a9f-9a9e-8b103de17715 · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Sequence Transduction with Recurrent Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:05:15.501686Z

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Observation ffac8cd4-2d85-40f6-be5d-1363b49b1bce · outbound

This paper cites Joint ctc-attention based end-to-end speech recognition using multi-task learning,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Joint ctc-attention based end-to-end speech recognition using multi-task learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.332189Z

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Observation 3d88fd7c-348d-4fee-9df8-d5cfca20dfb8 · outbound

This paper cites Speech-transformer: A no- recurrence sequence-to-sequence model for speech recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Speech-transformer: A no- recurrence sequence-to-sequence model for speech recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.315887Z

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Observation f7186b2e-8e9c-4c76-ae7d-d7ab21b51c10 · outbound

This paper cites Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.299703Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c55cad5b-b943-42ec-a93b-66a70d80ea4d · outbound

This paper cites Speech-text based multi-modal training with bidirectional attention for improved speech recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Speech-text based multi-modal training with bidirectional attention for improved speech recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.283255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 30445ad2-fb1f-4567-9b53-c3cee6b936be · outbound

This paper cites Enhancing multilingual speech recognition through language prompt tuning and frame-level language adapter,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Enhancing multilingual speech recognition through language prompt tuning and frame-level language adapter,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.266287Z

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Observation 355ab8a3-8b74-4d02-b2d2-fc2391aadfc5 · outbound

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

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Robust speech recognition via large- scale weak supervision,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.250429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ffec47d0-38be-4733-8b2e-e69a8eeb0556 · outbound

This paper cites Language- Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Language- Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.234897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca85bd45-a264-4006-b9a2-b8b81e851cfc · outbound

This paper cites Multilingual distilwhisper: Efficient distillation of multi-task speech models via language-specific experts,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Multilingual distilwhisper: Efficient distillation of multi-task speech models via language-specific experts,

Reference 10

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Source-reported events for the cited work

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Observation 80371041-f577-4967-8a11-a9da478ed39f · outbound

This paper cites Mole : Mixture of language experts for multi-lingual automatic speech recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Mole : Mixture of language experts for multi-lingual automatic speech recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.202082Z

Source-reported events for the cited work

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Observation 818a9eac-29f3-4c60-a430-a120979c9ad6 · outbound

This paper cites A parameter-efficient language extension framework for multilingual asr,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR A parameter-efficient language extension framework for multilingual asr,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.185203Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41254d98-0432-43b9-82fe-8575bf2f137f · outbound

This paper cites Lae-st-moe: Boosted language-aware encoder using speech translation auxiliary task for e2e code-switching asr,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Lae-st-moe: Boosted language-aware encoder using speech translation auxiliary task for e2e code-switching asr,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.168758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9746131d-829b-4116-a098-9da662eab898 · outbound

This paper cites Hierarchical softmax for end-to-end low- resource multilingual speech recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Hierarchical softmax for end-to-end low- resource multilingual speech recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.152914Z

Source-reported events for the cited work

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Observation b3bcfea5-786d-4e4f-b788-bc916a2aa260 · outbound

This paper cites Investiga- tion into phone-based subword units for multilingual end-to-end speech recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Investiga- tion into phone-based subword units for multilingual end-to-end speech recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.136493Z

Source-reported events for the cited work

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Observation caedc4ee-4483-4424-8dff-2c6e2c2e122a · outbound

This paper cites U2++ MoE: Scaling 4.7x parameters with minimal impact on RTF.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR U2++ MoE: Scaling 4.7x parameters with minimal impact on RTF

Reference 16

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Observation bd9a0934-b334-47eb-90ed-5773cfcc9aa9 · outbound

This paper cites Lupet: Incorporating hierarchical information path into multilingual asr,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Lupet: Incorporating hierarchical information path into multilingual asr,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.120494Z

Source-reported events for the cited work

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Observation d779985c-58d2-4122-bab0-ccc8fbaa26b2 · outbound

This paper cites Rapid language adaptation for multilingual e2e speech recognition using encoder prompting,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Rapid language adaptation for multilingual e2e speech recognition using encoder prompting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.104523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b13217f2-d838-49cf-a567-1e37300f41ce · outbound

This paper cites Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition via Weakly Phonetic Supervision.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition via Weakly Phonetic Supervision

Reference 19

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Source-reported events for the cited work

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Observation 81d7820a-c699-46eb-8554-c7726907b0f6 · outbound

This paper cites Extending multilingual asr to new languages using supplementary encoder and decoder components,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Extending multilingual asr to new languages using supplementary encoder and decoder components,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.087612Z

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Observation f02381d5-cbd7-4a3c-b4c7-b6e8ae982571 · outbound

This paper cites Lora-whisper: Parameter-efficient and extensible mul- tilingual asr,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Lora-whisper: Parameter-efficient and extensible mul- tilingual asr,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.071841Z

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Observation bce0fa43-4615-4b71-b86d-a25051e48bf4 · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 22

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Observation e7fdf3cc-752b-456e-8d83-3499975f0f72 · outbound

This paper cites Dynamic asr pathways: An adaptive masking approach towards efficient pruning of a multilingual asr model,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Dynamic asr pathways: An adaptive masking approach towards efficient pruning of a multilingual asr model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.055428Z

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Observation 28258de6-7fe5-4b93-b074-0a36d06ad49d · outbound

This paper cites Learning asr pathways: A sparse multilingual asr model,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Learning asr pathways: A sparse multilingual asr model,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.039604Z

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Observation d48bb076-7b3c-4ffd-ac78-12abe0b4156b · outbound

This paper cites SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Reference 25

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This paper cites Multi-Head Mixture-of-Experts.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Multi-Head Mixture-of-Experts

Reference 26

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Source-reported events for the cited work

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This paper cites Attention is all you need,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Attention is all you need,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.023662Z

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Observation a81aa72a-04c4-4a36-81f7-94abcf8558e3 · outbound

This paper cites Phoneme recognition using time-delay neural networks,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Phoneme recognition using time-delay neural networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:16.006376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aba81415-fe98-4811-8dab-fae29a0585b0 · outbound

This paper cites Aishell- 1: An open-source mandarin speech corpus and a speech recognition baseline,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Aishell- 1: An open-source mandarin speech corpus and a speech recognition baseline,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.989882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 673136ed-cfc4-4f7b-8e21-fc674c09599e · outbound

This paper cites Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.973664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60228480-fea2-4dbc-b138-9be3c8532fa6 · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Librispeech: An asr corpus based on public domain audio books,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.957446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a6cc5d51-01ed-4fea-9fae-fd009d6ce7b2 · outbound

This paper cites GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.941376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 07630805-10fd-45f9-81fb-113215bfc80d · outbound

This paper cites Reazonspeech: A free and massive corpus for japanese asr,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Reazonspeech: A free and massive corpus for japanese asr,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.922237Z

Source-reported events for the cited work

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Observation ee05a1a4-8708-4ce8-9dcc-855de738d3f4 · outbound

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

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR The mgb-2 challenge: Arabic multi- dialect broadcast media recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.905171Z

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Observation 0e89fe83-6d6e-4a48-a7ae-8e463ff03aca · outbound

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

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Common voice: A massively-multilingual speech corpus,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.888591Z

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Observation 46e8b4f1-ae4f-4544-b8ea-f99dc83b3806 · outbound

This paper cites Audio augmentation for speech recognition,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Audio augmentation for speech recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.872482Z

Source-reported events for the cited work

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Observation c05f11c8-cba3-491b-a196-b8a277d39a26 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 37

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Observation ea72e2d2-ca7b-4ee2-97d3-f19689be9758 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Adam: A Method for Stochastic Optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T17:05:15.685075Z

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Observation 2d7062e7-bb64-4525-8431-044f2d8cc886 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting,.

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR Dropout: a simple way to prevent neural networks from overfitting,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:15.855993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.