Paper Citation Record · LEDGER

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2412.16474.

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

pith.paper-citation-record.v1
2412.16474 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:36:28.361661Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

14 of 14 outbound references displayed

verified exact1
verified fuzzy7
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0ceff4f-77c2-4749-9df1-12b3ed784a1e · outbound

This paper cites Deep speech 2: End-to-end speech recognition in english and mandarin,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Deep speech 2: End-to-end speech recognition in english and mandarin,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:36:28.548482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5065505-59a6-4219-aac6-42ce58676d9e · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:28.309762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d184aa29-9d98-4717-a2a5-eb6d728d0bb3 · outbound

This paper cites Transformer transducer: A streamable speech recognition model with transformer encoders and rnn-t loss,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Transformer transducer: A streamable speech recognition model with transformer encoders and rnn-t loss,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:36:28.526914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c95ed1ce-3a6f-454b-8fa5-1459de0b1645 · outbound

This paper cites Multilingual speech recognition with a single end-to-end model,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Multilingual speech recognition with a single end-to-end model,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:28.318103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9791f950-410c-492a-8fe2-06f96953880b · outbound

This paper cites Un- supervised cross-lingual representation learning for speech recognition,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Un- supervised cross-lingual representation learning for speech recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:36:28.503878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8dcedf0-ba17-4e6a-88a7-b748c1e48a55 · outbound

This paper cites Xls-r: Self-supervised cross-lingual speech representation learning at scale,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Xls-r: Self-supervised cross-lingual speech representation learning at scale,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:36:28.490012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22b310b5-aa0b-416f-8e63-8949370ca151 · outbound

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

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Robust speech recognition via large-scale weak supervi- sion,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:28.330707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90027c9a-08d5-4b40-9293-ed7f1c15c24a · outbound

This paper cites Yang, K.-P.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Yang, K.-P

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:28.334366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cbb765a-1535-4394-bef2-2d101d477a90 · outbound

This paper cites Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:36:28.412451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3154b719-9713-4b30-8d71-926c95d49e66 · outbound

This paper cites Prompting the hidden talent of web-scale speech models for zero-shot task generalization,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Prompting the hidden talent of web-scale speech models for zero-shot task generalization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:36:28.458867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2efee83b-cf0c-43e9-a26a-3d6e11566256 · outbound

This paper cites Zero- shot domain-sensitive speech recognition with prompt-conditioning fine- tuning,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Zero- shot domain-sensitive speech recognition with prompt-conditioning fine- tuning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:36:28.446300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7024d41c-da7d-4054-bf7e-496e9c231b62 · outbound

This paper cites Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:28.352134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf0c166-97c9-49be-9df9-6aa4200c2fde · outbound

This paper cites ML- SUPERB: Multilingual Speech Universal PERformance Benchmark,.

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling ML- SUPERB: Multilingual Speech Universal PERformance Benchmark,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:36:28.434433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c510af8-a774-4878-8ef1-8f615c9871b4 · outbound

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

Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling LoRA: Low-rank adaptation of large language models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:36:28.361661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.