Paper Citation Record · LEDGER

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2607.10256.

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

pith.paper-citation-record.v1
2607.10256 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:08:11.026186Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:08:11.026186Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e500c91e-bfd8-41cd-8fd2-c5ebf4c904cf · outbound

This paper cites Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR

Reference 1

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Unresolved cited work

Reference 2

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Observation c3f18b01-cbd7-4e8b-8670-790061b90ee4 · outbound

This paper cites Datasets Warlpiri speech recordings and their corresponding transcrip- tions were obtained from the DoReCo dataset [38].

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Datasets Warlpiri speech recordings and their corresponding transcrip- tions were obtained from the DoReCo dataset [38]

Reference 3

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Observation 64010eca-2196-4d0b-ac26-9da700d8517c · outbound

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Unresolved cited work

Reference 4

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Observation a809902a-0560-4b5e-a10b-1a3a91fe11a4 · outbound

This paper cites This enables examination of how Warlpiri’s similarity to high-resource languages evolves across model layers.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR This enables examination of how Warlpiri’s similarity to high-resource languages evolves across model layers

Reference 5

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Observation 76ea7224-e3e5-435f-926d-ecb1a1f70f14 · outbound

This paper cites We presented a systematic framework that combines embedding-based acoustic similarity with linguistic- feature-based similarity to guide source language selection.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR We presented a systematic framework that combines embedding-based acoustic similarity with linguistic- feature-based similarity to guide source language selection

Reference 6

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Observation 597dfeb7-228e-4532-9f95-f38fd144f7f7 · outbound

This paper cites Ethics ap- proval was granted by the Human Research Ethics Advisory Panel Executive (HREAP) at UNSW Sydney, Australia, under Reference Number iRECS6867.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Ethics ap- proval was granted by the Human Research Ethics Advisory Panel Executive (HREAP) at UNSW Sydney, Australia, under Reference Number iRECS6867

Reference 7

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Observation 1b5040c0-d59f-41e6-ae90-43645e14e72f · outbound

This paper cites Af- ter using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the pub- lication.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Af- ter using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the pub- lication

Reference 8

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Observation f2188c92-ed92-4b31-ae87-414ad97df10c · outbound

This paper cites End-to-end speech recognition: A survey,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR End-to-end speech recognition: A survey,

Reference 9

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Observation a4ed67c1-022e-4a4b-aaa2-a3b209e67686 · outbound

This paper cites Automatic speech recognition for under-resourced languages: A survey,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Automatic speech recognition for under-resourced languages: A survey,

Reference 10

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Observation 15d7142a-879d-42e2-b53d-dadd4a6d5cf8 · outbound

This paper cites Language and culture: Socialisation in a warlpiri com- munity,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Language and culture: Socialisation in a warlpiri com- munity,

Reference 11

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Observation d1e9038e-44f5-4cb8-9af1-2286bab6ddf9 · outbound

This paper cites Cross-lingual transfer learn- ing during supervised training in low resource scenarios.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Cross-lingual transfer learn- ing during supervised training in low resource scenarios

Reference 12

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Observation e39ca1eb-2233-4b7c-98b4-7f1b9dafd90f · outbound

This paper cites Cross-lingual transfer learning for low- resource speech translation,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Cross-lingual transfer learning for low- resource speech translation,

Reference 13

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This paper cites A balanced data approach for evaluating cross-lingual transfer: Mapping the lin- guistic blood bank,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR A balanced data approach for evaluating cross-lingual transfer: Mapping the lin- guistic blood bank,

Reference 14

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Observation 2c8bf7ee-e474-4699-af0f-ebf54aa91d20 · outbound

This paper cites Low resource asr: The surprising effectiveness of high resource transliteration.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Low resource asr: The surprising effectiveness of high resource transliteration

Reference 15

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Observation f466c7f6-713f-4698-a0c7-24a129b09670 · outbound

This paper cites Towards scalable efficient on-device ASR with transfer learning.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Towards scalable efficient on-device ASR with transfer learning

Reference 16

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Observation 20e12136-5def-4711-83e0-9a52ea06c1aa · outbound

This paper cites Exploration of whisper fine-tuning strategies for low-resource asr,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Exploration of whisper fine-tuning strategies for low-resource asr,

Reference 17

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Observation 6b12d1f6-712d-4c07-bd8f-adeea67de59a · outbound

This paper cites Exploiting adapters for cross-lingual low-resource speech recognition,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Exploiting adapters for cross-lingual low-resource speech recognition,

Reference 18

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Observation ee144996-abe3-471c-82de-f883f34f1339 · outbound

This paper cites Mutual intelligibility between closely related languages in europe,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Mutual intelligibility between closely related languages in europe,

Reference 19

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Observation 9452d6f2-222b-44df-9803-812f7f53c45f · outbound

This paper cites Comparing germanic, romance and slavic: Relationships among linguistic distances,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Comparing germanic, romance and slavic: Relationships among linguistic distances,

Reference 20

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Observation 3ec968a5-4f69-4060-aab0-7ffafec1a0ab · outbound

This paper cites Investigating the impact of cross- lingual acoustic-phonetic similarities on multilingual speech recognition,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Investigating the impact of cross- lingual acoustic-phonetic similarities on multilingual speech recognition,

Reference 21

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Observation ce360310-7e51-4703-8f12-5eb0ec2f1eb5 · outbound

This paper cites Cross- lingual transfer for speech processing using acoustic language similarity,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Cross- lingual transfer for speech processing using acoustic language similarity,

Reference 22

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This paper cites Improving cross-lingual phonetic representation of low-resource languages through language sim- ilarity analysis,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Improving cross-lingual phonetic representation of low-resource languages through language sim- ilarity analysis,

Reference 23

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This paper cites Sonorant spec- tra and coarticulation distinguish speakers with different dialects,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Sonorant spec- tra and coarticulation distinguish speakers with different dialects,

Reference 24

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This paper cites On the relation between the similarity of the acoustic distribution patterns of vowels and the language closeness,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR On the relation between the similarity of the acoustic distribution patterns of vowels and the language closeness,

Reference 25

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This paper cites Choosing transfer lan- guages for cross-lingual learning,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Choosing transfer lan- guages for cross-lingual learning,

Reference 26

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Unresolved cited work

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This paper cites Explaining typological differences between lan- guages: de facto topicalisation in english and warlpiri,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Explaining typological differences between lan- guages: de facto topicalisation in english and warlpiri,

Reference 28

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Observation df791ef4-f067-4eca-a3e8-f6304aafb00c · outbound

This paper cites Contrasting warlpiri and english language fea- tures,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Contrasting warlpiri and english language fea- tures,

Reference 29

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This paper cites Warlpiri and the grammar of non-configurational lan- guages,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Warlpiri and the grammar of non-configurational lan- guages,

Reference 30

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This paper cites V owel harmony, directionality and mor- pheme structure constraints in warlpiri,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR V owel harmony, directionality and mor- pheme structure constraints in warlpiri,

Reference 31

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This paper cites Distinguishing prosodic word and phonological word in warlpiri: Prosodic constituency in morpho- logically complex words,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Distinguishing prosodic word and phonological word in warlpiri: Prosodic constituency in morpho- logically complex words,

Reference 32

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This paper cites An acoustic and articulatory anal- ysis of focus and the word/morpheme boundary distinction in warlpiri,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR An acoustic and articulatory anal- ysis of focus and the word/morpheme boundary distinction in warlpiri,

Reference 33

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This paper cites A study of speech embedding similarities between australian aboriginal and high- resource languages,.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR A study of speech embedding similarities between australian aboriginal and high- resource languages,

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This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR V oxlingua107: a dataset for spoken lan- guage recognition,

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Unsupervised Cross-lingual Representation Learning for Speech Recognition

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Layer-wise analysis of a self-supervised speech representation model,

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR A study of conceptual language similarity: comparison and evaluation

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Moran and D

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Grambank reveals the impor- tance of genealogical constraints on linguistic diversity and high- lights the impact of language loss,

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Warlpiri doreco dataset,

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Robust speech recognition via large-scale weak supervision,

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Whispering in Amharic: Fine-tuning Whisper for Low-resource Language

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR Available: https://huggingface.co/blog/ fine-tune-whisper

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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese

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Pith citing papers

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