Paper Citation Record · LEDGER

Efficient Multilingual ASR Finetuning via LoRA Language Experts

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2506.21555.

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

pith.paper-citation-record.v1
2506.21555 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:15.271626Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:11.687788Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T04:53:15.548805Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy28
unresolved7
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54b653ae-5bbf-447b-9d78-90c0cc045d9d · outbound

This paper cites With the advent of deep learning techniques, ASR has achieved remarkable suc- cess in various real-world scenarios[1, 2, 3, 4, 5].

Efficient Multilingual ASR Finetuning via LoRA Language Experts With the advent of deep learning techniques, ASR has achieved remarkable suc- cess in various real-world scenarios[1, 2, 3, 4, 5]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:21.917975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f8d6d03-4045-45e2-be7f-98dd5cd09a38 · outbound

This paper cites Efficient Multilingual ASR Finetuning via LoRA Language Experts.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Efficient Multilingual ASR Finetuning via LoRA Language Experts

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T04:53:15.590418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8685bc25-23c4-4522-b538-8da9ad37f32c · outbound

This paper cites an unresolved cited work.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:53:21.643118Z

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Observation 2418d637-e324-42ff-9fd4-2739077e057a · outbound

This paper cites Setup The backbone model is Whisper-medium which is well- pretrained to produce reasonable transcriptions for a wide range of languages.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Setup The backbone model is Whisper-medium which is well- pretrained to produce reasonable transcriptions for a wide range of languages

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:53:21.432659Z

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Observation 5c3c68a2-6d6b-46ed-9207-c16d9b4b9fc3 · outbound

This paper cites an unresolved cited work.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:53:21.171042Z

Source-reported events for the cited work

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Observation 481124ac-273a-4fc5-8b52-34a12d27b086 · outbound

This paper cites an unresolved cited work.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:53:20.939275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0acdc42b-e26f-4b09-aa2c-a350b30107a0 · outbound

This paper cites Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:20.648274Z

Source-reported events for the cited work

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Observation 44d0fd72-7f0e-4496-8a6a-230461ea98c9 · outbound

This paper cites Speech recognition with deep recurrent neural networks,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Speech recognition with deep recurrent neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:20.428591Z

Source-reported events for the cited work

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Observation c25ef2b2-435d-49d5-bea8-07375b577cdb · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:20.269625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73c06707-9524-448d-8693-a9053e135949 · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Joint CTC-attention based end-to-end speech recognition using multi-task learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:20.128240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58e2b1b7-79d7-4d80-9e0a-c4024b3697fa · outbound

This paper cites Recent advances in end-to-end automatic speech recognition,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Recent advances in end-to-end automatic speech recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:19.975332Z

Source-reported events for the cited work

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Observation 7c5a5793-aff1-4a74-b372-1804ec1f3a64 · outbound

This paper cites MLS: A large-scale multilingual dataset for speech research,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts MLS: A large-scale multilingual dataset for speech research,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:19.828014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2944feb2-d6fb-4b28-aff0-d32ee3c08b16 · outbound

This paper cites Fleurs: Few-shot learning evaluation of universal representations of speech,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Fleurs: Few-shot learning evaluation of universal representations of speech,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:19.686757Z

Source-reported events for the cited work

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Observation 7c70effe-560f-47f4-8c0c-7442cdff0fed · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Common V oice: A massively-multilingual speech corpus,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:19.572928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 827cbcfd-c992-405e-931f-ddc282117686 · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Robust speech recognition via large-scale weak su- pervision,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:19.395319Z

Source-reported events for the cited work

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Observation 4fb310f8-f465-4fad-a2e9-64901f495397 · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 16

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Source-reported events for the cited work

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Observation 9dac6b33-65d3-4df7-b975-779b500b7045 · outbound

This paper cites Scaling speech technology to 1,000+ languages,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Scaling speech technology to 1,000+ languages,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:13.096457Z

Source-reported events for the cited work

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Observation f9a1c82d-752a-4719-883a-cb052efb8314 · outbound

This paper cites Mixture of informed experts for multilingual speech recognition,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Mixture of informed experts for multilingual speech recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:19.255847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7515da76-010b-4f0f-aeb4-f902ade7bc7c · outbound

This paper cites A configurable multilingual model is all you need to recognize all languages,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts A configurable multilingual model is all you need to recognize all languages,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:19.078187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fa38154-ff25-4eec-bdd1-56156edda77a · outbound

This paper cites Language-routing mixture of experts for multilingual and code-switching speech recognition,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Language-routing mixture of experts for multilingual and code-switching speech recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:18.914009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b97321b8-ffab-47de-b2da-710a31ece22f · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Enhancing mul- tilingual speech recognition through language prompt tuning and frame-level language adapter,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:18.744414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fff34dd6-e0fb-42c4-8275-d069181d0b4c · outbound

This paper cites Large-scale multilin- gual speech recognition with a streaming end-to-end model,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Large-scale multilin- gual speech recognition with a streaming end-to-end model,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:18.559513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e28f1251-fd87-4eb1-ac23-5d25099c414e · outbound

This paper cites Weighted cross-entropy for low-resource languages in multilingual speech recognition,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Weighted cross-entropy for low-resource languages in multilingual speech recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:18.340226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e36d840b-b354-4c71-b30a-3dbbffcda3e6 · outbound

This paper cites Towards rehearsal-free multilingual ASR: A LoRA-based case study on Whisper,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Towards rehearsal-free multilingual ASR: A LoRA-based case study on Whisper,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:18.039763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90380c70-4c4a-4339-a42c-4504d7592af0 · outbound

This paper cites Continual learning op- timizations for auto-regressive decoder of multilingual ASR sys- tems,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Continual learning op- timizations for auto-regressive decoder of multilingual ASR sys- tems,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:17.842713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dcac32aa-3826-4281-8edc-3d6c55db0808 · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Extending multilingual ASR to new languages using supplementary encoder and decoder components,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:17.624531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 982520b0-3470-4ab2-a4ba-d0193ba6844f · outbound

This paper cites LoRA- Whisper: Parameter-efficient and extensible multilingual ASR,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts LoRA- Whisper: Parameter-efficient and extensible multilingual ASR,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:17.404545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af19fb20-17d3-4c9a-9762-35033e2382e2 · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts A parameter- efficient language extension framework for multilingual ASR,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:17.150244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96d32c96-b527-4550-a8dc-09e82731c21d · outbound

This paper cites Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab3f1c2f-8a63-445e-bb93-54b207df18ba · outbound

This paper cites LoRA: Low-rank adaptation of large lan- guage models,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts LoRA: Low-rank adaptation of large lan- guage models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:16.895617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5249131a-440f-4fd4-b02b-ddca47762371 · outbound

This paper cites Knowl- edge distillation for mixture of experts models in speech recogni- tion,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Knowl- edge distillation for mixture of experts models in speech recogni- tion,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:16.691112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cbd3008-a834-4535-a165-a909f2a11b75 · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Multilingual Distilwhisper: Efficient distillation of multi-task speech models via language-specific experts,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:16.477830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a68941e-62fa-46b2-9afe-26b4dc07e9f8 · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:16.254083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5974339-c7b6-4a23-9dd0-5faa679313fa · outbound

This paper cites LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plu- gin,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plu- gin,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:16.074610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8ecff84-547d-4edf-8f90-18c858393e8b · outbound

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

Efficient Multilingual ASR Finetuning via LoRA Language Experts Aishell-1: An open- source mandarin speech corpus and a speech recognition base- line,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:15.885369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6cdb5945-b998-41c8-830f-2b237943aa9e · outbound

This paper cites Lib- rispeech: An ASR corpus based on public domain audio books,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Lib- rispeech: An ASR corpus based on public domain audio books,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:53:15.737153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b43f4c6-952a-4988-8b0a-f2d7d119242e · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Decoupled weight decay regulariza- tion,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:15.181172Z

Source-reported events for the cited work

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Observation 9a10b27c-5631-4454-9eeb-0f878d4eb197 · outbound

This paper cites Visualizing data using t-SNE.

Efficient Multilingual ASR Finetuning via LoRA Language Experts Visualizing data using t-SNE

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:15.271626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1f8d6d03-4045-45e2-be7f-98dd5cd09a38 · inbound