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Paper Citation Record · LEDGER

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages

As of 7 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2506.17459.

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

pith.paper-citation-record.v1
2506.17459 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:32.636799Z

measured 63 of 63 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 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

63 of 63 outbound references displayed

  • verified exact22
  • verified fuzzy3
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b19d503-f5a1-49f2-8276-d715fa460652 · outbound

This paper cites Leveraging translations for speech transcription in low-resource settings.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Leveraging translations for speech transcription in low-resource settings

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:33.413514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:27.938383Z digest=sha256:007a4517db6b3efadc1d3c0712667488110c6d54b8c69f97fdeefe94286eb76c

Observation da9bca68-e40c-494e-b898-5f6619d4e490 · outbound

This paper cites Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:33.397863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.006841Z digest=sha256:4ed43312569cefc364bf5a5f71c22af42ad11ead81dbb9fb2f0341df93ab6ac2

Observation 9212103c-4d8f-4081-b8e2-6b6bdff2ece8 · outbound

This paper cites Austin and Julia Sallabank.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Austin and Julia Sallabank

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:36.864750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.070983Z digest=sha256:b541c13a3c1d3637ec5810d3425277ad5521290f8906605a0d851ad479abeac6

Observation 4ba1af66-387e-4ddc-bbca-aa4840297d0d · outbound

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

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:28.171349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:28.171349Z digest=sha256:8cbd71d17590882099574c57a94707763bfaec2bede189c226c76ef6caf8198b

Observation cf81d203-ef40-49c2-964c-da2d8748bf14 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:36.774820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.310709Z digest=sha256:30e45ab92b7f47637689afed09cabb71a1b354d86caade2a6ff783ce826333d7

Observation 001ac08b-5162-48e6-a61d-ff8b1d33f626 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:36.685727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.380380Z digest=sha256:3d83d30a3b834bbd1427d4cc4dfea3592054f6b0bcfcfe64b0488d74f47fc28b

Observation ec772d37-e6b3-4da3-bf3c-7a86b6940dd9 · outbound

This paper cites Sainath, and Trevor Strohman.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Sainath, and Trevor Strohman

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:28.475888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:28.475888Z digest=sha256:1fd661f6ccd283891dc2aaca82699d6d3f6d4af8c7fe213100685aa81301173d

Observation e53fe43d-4687-49e8-ac28-afbc584985ef · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:36.579516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.612319Z digest=sha256:d62162c79ffc214934e57854a437d6178a2d62dd77bdf9991398999969aaa445

Observation bc51d54f-a9ce-4399-a78f-d7835525a526 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:36.535359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.725681Z digest=sha256:af3f167f9f628b012a45393bbf2194cec5e654aed1b607ef3659b27a9cacd315

Observation 882598f5-1958-4953-bd75-4392c6af8ef3 · outbound

This paper cites Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:28.830658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:28.830658Z digest=sha256:0c892d59c7be9cae8240ef292e56b93c688c28e658c1234748d0ecec96390c3f

Observation 92d5cb87-3203-4efd-83da-08952f21077d · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 11

Resolution
verified exact
doi, observed 2026-08-06T23:35:33.349684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.885386Z digest=sha256:d846afa1276709fb157fdf4841e7c5a6737ef547fbb1086450e17cd99525e490

Observation 75114c6c-93b1-4b94-b630-9496fe9e1193 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:36.444994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.969549Z digest=sha256:abfb4b4fd1859b1be2aeea7641d7b44988fb75e120afc2b4e5aacd56d27866fd

Observation 99eee8b9-ef60-46a9-b20c-e1f895100a2c · outbound

This paper cites End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:33.330887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.080973Z digest=sha256:d27ef1d7c8520d0e67e46b924572841b46ab7ee9c64047a2cd0535f84241f86e

Observation 0123ff50-be2a-4758-a4a9-63bd85d67ea0 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:29.233803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:29.233803Z digest=sha256:39f30299fc557d4301df32b2307870d176f9ace8a52a0f1e5bbbbf78ba9fa282

Observation c3b42110-0c72-4b2c-aa14-3d0a7d5129e5 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-08-06T23:35:33.298378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.277306Z digest=sha256:1baa25596e8caafb74e87a06c6233d4e0947a21ac691eecd03ed5110951f5f8c

Observation 63544c9f-718c-4d4c-b37e-a7d76dd4d318 · outbound

This paper cites Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:29.405393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:29.405393Z digest=sha256:5392f477884464c4f596863d3b3aca489929edbcacfbd3614e3e2ec6b54f1df1

Observation a7626f61-63bf-4fe9-9d32-665ddce014f7 · outbound

This paper cites The Zero Resource Speech Challenge 2019: TTS without T.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages The Zero Resource Speech Challenge 2019: TTS without T

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:35:33.242251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.574487Z digest=sha256:5907c23834f84140e54003b7b56e8bafe5458a9f2499ce65071149b1420b02b5

Observation 3693b8c4-9eb6-45c5-bea9-f5e60530b33a · outbound

This paper cites Eberhard, Gary F.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Eberhard, Gary F

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:36.414746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.734950Z digest=sha256:37fc1562eb3cb15fd9d46474018f7b751ffc1eabce85c22542064ddd37e526cb

Observation 49a7504a-0848-4a4c-94f0-7b2b5b43d78c · outbound

This paper cites Eberhard, Gary F.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Eberhard, Gary F

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:36.284753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.856933Z digest=sha256:5e2409ead36a4ff7a0ef7b3dee5ea84aa73753437566d40a4e896bc782e0d645

Observation 3c70271c-542a-4964-8063-139878fcf1b2 · outbound

This paper cites Godfrey, E.C.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Godfrey, E.C

Reference 20

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:35:34.804752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.005541Z digest=sha256:f9e6c0a21ad215106099bc74624d1132c62e04d242a138e406baf339f0d98b6f

Observation d2baff62-fa99-4f84-99c0-c884bf2812e3 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:36.144747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.146980Z digest=sha256:6c483be4c11f9e350cbab02fb9bdf8ed87fece4ec09bc50eac843eded4588140

Observation 1f782dee-a9e4-49d9-9a55-7535544ca29e · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 22

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:35:34.554755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.239172Z digest=sha256:f0a775c7c7932a6781008e89eae70967517d86265f839489ae6b070089d79ff6

Observation d4e6db33-bd78-4980-9707-a4c93d7c88f0 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 23

Resolution
verified exact
doi, observed 2026-08-06T23:35:33.173475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.350303Z digest=sha256:fc608a3074614e3f54723199e3d0ec78f326ca45054d113dc17a852b5b2cab04

Observation bd3d47e5-59bb-4f94-815b-6107301dba22 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 24

Resolution
verified exact
doi, observed 2026-08-06T23:35:33.155835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.465118Z digest=sha256:463cd69d5f1eb1adaf40927cc0f2d280ae65b2cae7dedc77539e83f7c844c837

Observation fdfd8f52-afca-49f5-90c4-9bc31637144a · outbound

This paper cites Himmelmann.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Himmelmann

Reference 25

Resolution
verified exact
doi, observed 2026-08-06T23:35:33.115980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.586841Z digest=sha256:0dea7162551fc84aeae870076116a773d0a0a73c88e977f2ed7354bb0a6fe08e

Observation 368a51c7-b84a-4027-8876-c8f8817df9f8 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:36.031319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.659354Z digest=sha256:2fb0299264c3c9511bb9edae5c6ba227005cc276b7cd040ab255e03c9f68378d

Observation a578c6fc-d399-461a-9bee-3a5297fc04b6 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.957983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.786350Z digest=sha256:873a685b62414e99c0225f4aafef6a3c888d6c5d85418df1e116ec340c0cf1a3

Observation 90ba05b5-c595-445c-93fe-d6d9497d2137 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:30.841091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:30.841091Z digest=sha256:be80ee9d2346e680994aa041352b31ea5f620056ef690b266a10f95d42197047

Observation 8f213558-634d-4d82-99b0-3ad93b623332 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 29

Resolution
verified exact
doi, observed 2026-08-06T23:35:33.081047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.965555Z digest=sha256:4e78840da2fc4bf58fa01c816df441ea9b314ac2f372308acb974ebbad29692e

Observation d9071064-eb65-4be9-a44a-6518b5374348 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 30

Resolution
verified exact
doi, observed 2026-08-06T23:35:33.045092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.070038Z digest=sha256:8d5e8f8ad29e5965c672d51d6615ea3d0b5f091e9ac94fb8cf7e5648eca799ac

Observation 9d3e46ce-1547-45c7-852d-5b24482a669e · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.844747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.217877Z digest=sha256:7647fb2bcf728359b59d62572d9afd9cabae64df2a7b1dcc5757408290ba7997

Observation 5a05a793-3794-41d2-8283-20ca8f8c0533 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:31.290625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:31.290625Z digest=sha256:8edcc689114adb29de1f366ea5e7b864a0594407431889eda69dbabeabfdee11

Observation ddf13c9c-6d43-4bed-b581-db67a5daf45f · outbound

This paper cites Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:32.986393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.355137Z digest=sha256:7d3564e65d86adcfe2e963a79e5c8d7f0505cd189442dbf900d05c0f66befd1f

Observation 5df18c3f-cf83-4093-955b-4c66f52b3560 · outbound

This paper cites Ahn, and Emily M.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Ahn, and Emily M

Reference 34

Resolution
verified exact
doi, observed 2026-08-06T23:35:32.951914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.544976Z digest=sha256:043a08c9a304093398aaf700e4efe1548bb463fa368250a373f9a5a267b08bc2

Observation 6e40f77c-fa29-416d-92dc-70a14e1dbfab · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 35

Resolution
verified exact
doi, observed 2026-08-06T23:35:32.932263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.737537Z digest=sha256:2b73ed452dd85b37e0aa74dadea9335279569ff5607ef5864481f15506908700

Observation 894b535e-91c8-4299-a4bf-0dfb80b0e266 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 36

Resolution
verified exact
doi, observed 2026-08-06T23:35:32.916140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.773915Z digest=sha256:41e586e604ce57168cba14d604c903bf684786d437736c2cbb282ae8754cc2f2

Observation 951a3c57-a538-47fe-90a8-72286f98264d · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.718198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.816623Z digest=sha256:9cf9f9b9ea47ef8a8df109c36adad39a7e99c0716a0bc293f5aa76659f0e5185

Observation f5b1fea6-4a3b-48a1-9d75-fed1274d6e62 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 38

Resolution
verified exact
doi, observed 2026-08-06T23:35:32.890977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.943611Z digest=sha256:fa41880dd80d2ba4f6d82bb65f38cd09b18a2abde8769778dfccfd9d9921f6d6

Observation d22c8cea-945d-4e38-92c8-b279c5cdf71f · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 39

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:35:34.234239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.012198Z digest=sha256:7a8b399158c2abaa6069b6f154071184fd39bfe7edb0495ea3b8501c404426a6

Observation d70956af-1dd7-4e22-88b6-3be8142c7f52 · outbound

This paper cites Open Source Automatic Speech Recognition for German.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Open Source Automatic Speech Recognition for German

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:32.878444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.023283Z digest=sha256:cd95cd53758a8224090b2fe4cdaacc3814c969c599552ba3ccb386f23d1c4d16

Observation 62bd06da-aef8-4a24-8073-3e084be3ef90 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 41

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:35:34.157171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.148222Z digest=sha256:0ce0720c5458e8d2c11cd7275df709dad3966cfc7c18ebb774f40cd53ad61171

Observation 1f792429-bc29-4e40-9ff9-3eaa9e632462 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 42

Resolution
verified exact
raw_fallback, observed 2026-08-06T23:35:34.011326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.223234Z digest=sha256:f501e5c2e405fe20519591822f9bcde32c8eed9b0840232ece2b089182671598

Observation f7510ca5-ebc8-4e3f-a6d9-9b497bcc0737 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 43

Resolution
verified exact
raw_fallback, observed 2026-08-06T23:35:33.880200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.329600Z digest=sha256:f76af5e4722b2af42d793700ea4ace358a3fd527f45d5a8fb14c2aa56ac5a1ba

Observation 8a2a9447-0e30-4812-8558-8597d2331dad · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.380841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:32.380841Z digest=sha256:922844123c7ee0d7a27a35ffa88344088bb49de0f93c142d3fe3d76a7f49e3d0

Observation dba418bd-5981-48b0-b983-1980bc3c0c14 · outbound

This paper cites Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.424165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:32.424165Z digest=sha256:c5ff41ac1c9362b294687a661281db99774ecf6eb3645c0c6eabd6fc6982acd9

Observation b2bf13c4-3db7-4153-8402-f5ca465ed984 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.604749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.431208Z digest=sha256:cdbb7b07fb1bcfe2eb4c7aa8392ce39fc5e3382cb6a317fe0e61858010705f4c

Observation e4635b39-d68b-4be1-aef4-d24039a68c52 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.483869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.436721Z digest=sha256:68794d143f0570f5f0757377948a976ff4b7547808e232794cb568cb76ce283d

Observation cada509f-150a-4177-bac3-181c655397e7 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.384873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.440492Z digest=sha256:64d2b68af61f2affae9cbf999332321a806ac1060e489f03094e4489d0c6aefb

Observation d5c8d141-1fbd-4b64-b41a-96b01cc73005 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.349486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.443990Z digest=sha256:33c3e96dc99fedeb37ac0db5f40a9e4c046665a7784cbe646f8917fe122cc928

Observation a013a8ce-bc28-4e87-9165-1e58d08a6705 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.298839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.458704Z digest=sha256:a673a67b8c491cdf773ab99b27cc1d680bd8f2c20829f233e126adbada4be3cc

Observation f3d425ab-9936-44df-863e-8ecf5f240079 · outbound

This paper cites Whisper Finetuning on Nepali Language.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Whisper Finetuning on Nepali Language

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:32.834745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.462591Z digest=sha256:02a327da42115c0249917c6f79d7a527a0ba118db611c73a584ced51da6fd8c8

Observation 7eb40238-4baf-4c2a-9fdf-105e0dc439ad · outbound

This paper cites Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolox\'ochitl Mixtec.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolox\'ochitl Mixtec

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:35:32.804549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.485292Z digest=sha256:8f19f0210ae8e198cf62dfd8cf0edb901364bbab92c037d35bfc0b6f50dd0bb6

Observation dd065efd-c341-4212-b886-6c26d5cdf2de · outbound

This paper cites BembaSpeech: A Speech Recognition Corpus for the Bemba Language.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages BembaSpeech: A Speech Recognition Corpus for the Bemba Language

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:32.784560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.498561Z digest=sha256:e1019cdab7831402294d1fdcb40585636ce341862640def5d7f06c479723259d

Observation e77a1498-e6c4-40b9-aaeb-e2d928e5dd80 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.234480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.502112Z digest=sha256:2e9dfb9dafc591f9b04717031c99daeb2c2dd55f0571b402512e7c38bdab1e80

Observation 58d2f6a6-9e5a-4594-9cd8-b8e9eaffdc2a · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:35.173587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.513542Z digest=sha256:26949f6e507c2cc7e640caa8076395ed51cab1707aed24b0d9b4e19003417f04

Observation e716cc5d-6082-4e09-b721-bed087175cbf · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 56

Resolution
verified exact
doi, observed 2026-08-06T23:35:32.756438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.546968Z digest=sha256:f4b8dac1de8b04852f413a44c2832d0a869d9cff4629c7b64d4a020289c37622

Observation 26eed16c-5c83-4abf-98f1-87c771871dff · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.581311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:32.581311Z digest=sha256:226a8013da41c655358cc9f97f246a720c85ab3cfb3b3a47e6dad6ed7fc7e574

Observation 242cf6e5-faa6-4316-bb76-0edea1521601 · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 58

Resolution
verified exact
raw_fallback, observed 2026-08-06T23:35:33.684114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.588154Z digest=sha256:e03d7c3a5da2f7ea55ef8a2186e6514157078ee1e5d419d89db42b824f32939e

Observation 9063d027-a67f-4051-bd59-ac4d7c675df4 · outbound

This paper cites Thimmaraja Yadava and H S Jayanna.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Thimmaraja Yadava and H S Jayanna

Reference 59

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:35:33.593706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.597356Z digest=sha256:3c5e7c6171683e494025a08100cfb8df0e5b4590bdd8fbd3b07d074570d5f9fe

Observation 17c8c44b-5f15-4b71-a916-c3bd436ea1a7 · outbound

This paper cites WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.604685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:32.604685Z digest=sha256:c19f66bb7fb0aae812ec179f46a85e41de364d7743d09d890681b5d72c6375d7

Observation 6ee2bb69-aa50-4eb4-8e0d-480879b1708c · outbound

This paper cites an unresolved cited work.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages Unresolved cited work

Reference 61

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:35:33.504937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.619333Z digest=sha256:1067c0afedbc46e523d270a988fd6c5c644107bf88e7deb80e664f974a989a98

Observation 3ea18ac1-d38e-446a-b9b7-009801dffac6 · outbound

This paper cites online" 'onlinestring :=.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages online" 'onlinestring :=

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.627083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:32.627083Z digest=sha256:d80bb332b8b91f5f0519cbef09fd34d6541a7607f2b17932e7a4d61f1f77c037

Observation e00b4777-41b8-4421-92fb-a45d5b948f07 · outbound

This paper cites write newline.

Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages write newline

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.636799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:32.636799Z digest=sha256:05391be082cbb2fe58dcbfab7ddcc18b10e683a2f86eea5b159ad64ed9e11990

Pith citing papers

No inbound Pith citation observations are available.