Paper Citation Record · LEDGER

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2502.04883.

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

pith.paper-citation-record.v1
2502.04883 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:10:38.117484Z

measured 18 of 18 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T00:41:45.704096Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:59.515558Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy11
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 046f6bf9-b845-4065-a54a-ec60d0034d29 · outbound

This paper cites Improving massively multilingual asr with auxiliary ctc objectives,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Improving massively multilingual asr with auxiliary ctc objectives,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.418152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96631950-6fba-48b6-8783-7e642b76a129 · outbound

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

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Hierarchical softmax for end-to-end low-resource multilin- gual speech recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.400999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 166a77e5-a9ec-49f3-99e4-0fdd3b089820 · outbound

This paper cites A Survey of Multilingual Models for Automatic Speech Recognition.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance A Survey of Multilingual Models for Automatic Speech Recognition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T21:10:38.043056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af33c653-2edc-4707-a890-be7c5e6dc7b3 · outbound

This paper cites Rapid Language Adaptation for Multilingual E2E Speech Recognition Using Encoder Prompting.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Rapid Language Adaptation for Multilingual E2E Speech Recognition Using Encoder Prompting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T21:10:38.048273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8df46b0-1368-40e9-b7ca-585ef634f0b5 · outbound

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

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Mole: Mixture of language experts for multi-lingual automatic speech recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.384531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0dcc7a09-dba3-471a-9b49-7a11f1b221a2 · outbound

This paper cites Leveraging language id in multilingual end-to-end speech recognition,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Leveraging language id in multilingual end-to-end speech recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.368622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87d109bc-56c7-45aa-addb-5939e6e76933 · outbound

This paper cites Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T21:10:38.065403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2c246f-361e-4c40-8786-9fa90c48c4c3 · outbound

This paper cites Speechmoe2: Mixture- of-experts model with improved routing,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Speechmoe2: Mixture- of-experts model with improved routing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.353453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b4f8cf6-71a4-4be7-b7a8-daad3325d23b · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.337220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69ad62c2-36ac-4e31-8e94-ea0bdcd90500 · outbound

This paper cites Connectionist temporal classification,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Connectionist temporal classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.319757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96ad6cee-926d-4595-9314-4279738cbace · outbound

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

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Common voice: A massively-multilingual speech corpus,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.303886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52986cb8-3fe1-4a04-b666-1f438dcd6811 · outbound

This paper cites Evaluating linguistic distance measures,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Evaluating linguistic distance measures,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.287811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d348028e-a59f-4840-9e4c-980b55f85c6e · outbound

This paper cites Adapting Monolingual Models: Data can be Scarce when Language Similarity is High.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Adapting Monolingual Models: Data can be Scarce when Language Similarity is High

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T21:10:38.095954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25dde98c-ed45-494b-b272-ee215292356f · outbound

This paper cites Spraaklab: a mobile laboratory for collecting speech production data,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Spraaklab: a mobile laboratory for collecting speech production data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.271109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d06f9c9-de10-4a74-be6d-211ca296ee60 · outbound

This paper cites Dialect variation in and around frisia; classification and relationships,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Dialect variation in and around frisia; classification and relationships,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:10:38.254261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a519f52-c5d5-47fc-8e45-a2aaf4a6f663 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T21:10:38.112255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f306aa6d-c156-49d3-8fe7-489784077342 · outbound

This paper cites Attention is all you need,.

Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance Attention is all you need,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T21:10:38.117484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 746cd1dd-4507-44a5-93f0-0362106485a2 · inbound

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation cites this paper.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:18:59.517295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.