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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:27.938383Z digest=sha256:018f5d065ea77c0cfff943a71d6701245292d33d80fa1e01d7bffa1ac24f3528

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.006841Z digest=sha256:668c390dc928d06a5afddcb2f54107b5b87d7c9e49d7eb74627a275d89933c3f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.070983Z digest=sha256:ad84c6337859c4b009c13888f2586267d68d45a51d06b74f3926f91a507f42ed

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=sha256:3d42ea7622cf61be1ec872a402b4fc3ebb74a342b340a6e0bd7794d1301f7dd3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.310709Z digest=sha256:5759ffcc66dc88024c58ae05bd8acca3c368c0c9e4370506d8a5a9a3f76f5a77

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.380380Z digest=sha256:b11238abaecadd0b2bbf89e177bcb21270a9694fd7b1cddce8fffc92b0e93914

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=sha256:5f82c59ce5e7ce4f5b7bda8871ea169e93ee897091ad749c276006212c8c4fd1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.612319Z digest=sha256:ce1e8c0cfdd93b1b3d7298f3ef61c69a3cd2fc9b99264fb2766aec43ea5ecf79

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.725681Z digest=sha256:5a968e7696be785eb467efaa6815085b746c91895663fdef5923088c9ce62379

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=sha256:48e1fc88104a21a11fe8d07140ed3860e615b5e8f2052bfcca4b53355a18a3ba

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.885386Z digest=sha256:f8f925be8efaec5b794fcf18a8e73f0e71bbf60ba528f61378a289ea0861dbd4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:28.969549Z digest=sha256:1c313b9fb57e00ddc0aabdc7895eb71c85d7d9b115b2d097363828f0e3ed15f4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.080973Z digest=sha256:f11ee29defaa231c8975322ce413e66f5457841f54bf166627e46a2b9ae4f26f

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:a1fc3e21dce8f88d2e7ff7ec9677762b24d645258a66f5008592b3e039921a23

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.277306Z digest=sha256:66251ace3f637984798d374625eba034fa6bb9823689add9dc0fefa9c21c0689

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=sha256:496b3a450682528d3caa1b495d544461d7c52015af3fe4b2a40abce5deb666ef

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.574487Z digest=sha256:31d38e394a2889845bc75ccbe7b926c24c8ce3f83ae4e69d4e639c0c179cedbc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.734950Z digest=sha256:cc2dc402872429a2a1fdf768f7935388138f6fe93f8830770934c41bd1296a77

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:29.856933Z digest=sha256:bbecdc2cdd8f3317dcccb19448f647424cdf809a05f492dd68d48035e29cceb0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.005541Z digest=sha256:24779ae93de7842d699b0555782716013b2ac302db6841bfaaeeb7ae9ae53d76

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.146980Z digest=sha256:73ff02ada24b45e377061f0ac162a8c9bf629e7d9b53772ff870f91cd03038f0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.239172Z digest=sha256:009cf3a69eefa6f0ff79b72f9e4645156ca45de4957fd5094b2c9b47858c581c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.350303Z digest=sha256:905f08c47fff669deb373fd308ee157e7123e86ccbde93b6a66b70a8abe08352

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.465118Z digest=sha256:f629742a47aa17c7436cadf1a5154c0202236ec37b7e675ab0e3617180a2e9b7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.586841Z digest=sha256:6eb683115206d1fe83e07e144250f3efeb00fd28f14d7cee6aad48968baca4f7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.659354Z digest=sha256:549c20c3bc95755c6f8941cbf84334aef331850e5db4c8b483602cf69cb6eafe

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.786350Z digest=sha256:b29c150e5967d89b84cd5808a9cb4dde4999fcb3bdd4d875c7c8e9521b433cb1

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=sha256:6d2bc4edf5e958b509e27a325c0196aeaa6ad1c1cf309a6fcb1a1635dbb0d6f7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:30.965555Z digest=sha256:5660af55094f106750fc8fd1b7b963f7eee5a9a23540bbaf51429c67b788fe85

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.070038Z digest=sha256:f89afae371e56b774dac8947a2f68909cb0bb6b3ac509943a4249f84f5cbeff7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.217877Z digest=sha256:723f866fb30cfd1ab0bf4bb0ebe80e23e7b41aa9b023e618c1b31d4fbb851769

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=sha256:39b756a75687e2b5c4eb7b1dab831b21c2ecaeff3a5ebbed5916a80a2391e2fd

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.355137Z digest=sha256:e86b0b42c5660c0515f6e36ad46c015a991019d17d64cead827a4349e2ad13f7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.544976Z digest=sha256:81898e9a1b1e5f484773562f291d49d5412b9377beaac5bfc6a739d9efb0e04b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.737537Z digest=sha256:a9d8cbb543f6298f113950da5a572b06192b2a84471d0b1264ea5a539942f4f0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.773915Z digest=sha256:45db193ae1e33cbfd441f7d7a087cf83e8e01ae805156d9a5325679df72d08dc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.816623Z digest=sha256:0d5dd56c313345029d3065bf74ae344429925bfc4a3d2ab344571a4330e78470

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:31.943611Z digest=sha256:850765ba408e80e366c8460f9b1c1007f681080bfb453f15c0fe78121715d8c8

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.012198Z digest=sha256:390896013e477610107f9df8edf2c7f71a8d3c8c61f76ead3d86da47d3d1231c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.023283Z digest=sha256:48a4a31c2bd23163b147593961ef326af7bd99685de2d106665c33a1a078bfe4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.148222Z digest=sha256:e8573b3fb44052aa468578bc5080d3d4c39819f2bd4fa3033917e9a4d53727a8

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.223234Z digest=sha256:917155b9b66c96500e383e6b2fbb3c3596cf6a77b1404326b0a57ff8cbfa432c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.329600Z digest=sha256:27f74f6b888b3b8d41a5f4f3c3edf6f59a227bf91277b2d78c89a66d84921837

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=sha256:8a6608e8bbbb58422e48affc0e8467338459d95017cf77a89725ac80e877e41d

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=sha256:1038ceccf21bd614f49c0235845f38250792e760b564ff835bb3b8387b15e2ac

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.431208Z digest=sha256:402445593153e37b6f1ca83ad634f503e639dfd70f0c65e4cd87e1534938aebe

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.436721Z digest=sha256:f8ef3b9f1052d5400378b19a119aaaf8fe3d9eaca7ffe51f92d57507520367ca

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.440492Z digest=sha256:fce3b21adf91bd994bc06b1c08ca611f1149dbc9bc756dda229fa98e6f248010

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.443990Z digest=sha256:dbf8fbe6f047eeede121c7f59fb4ef5e46973085a6be59a8cf0f39f1f7a179e3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.458704Z digest=sha256:81b4eb50888b585708735248266d8b2d0db724a79ff6a345bb54af1ab20134eb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.462591Z digest=sha256:989a5ac61c42d204d9d40649b7cd50c8009ab1de3289b42c6822f704cf772586

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.485292Z digest=sha256:d211e954773699ee5a2ef44594ca41fc9a9710e80cb2323647d8cf28e036c383

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.498561Z digest=sha256:305041eb8d2501ba8f576c830fb24b49cd578542741840b748edc06fdc8e616f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.502112Z digest=sha256:4176df8b1cc892bda8685027b470f0ca98b986e3206fdd3f1b800c5d869db403

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.513542Z digest=sha256:5919af5556d96678af4a20b60c5b5cd481f410fb3e03a756497eb4ad89be93f1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.546968Z digest=sha256:e914663bff5cda118c4b97f6ade708a3ed7b8fd4833a84344309ccc9211f0e3d

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:ca3c00aa82434b857982880eb6c2ad930d7d1e3bce8a0b75cfcfa7ead5ad4eaf

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.588154Z digest=sha256:7c3d23641a97d0a7786ec44203f9698a8a0949db14fe0b641820b0676d5e52eb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.597356Z digest=sha256:1968483c0452135fb5b26ee28b4053f605c2b012ee5bfcad97a4e29626157ce3

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=sha256:5cf11179b8dc67dd4dc45fca6c447f009f2612d46e5a9b63126703f7cbd383ed

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T23:35:32.619333Z digest=sha256:f04c585f33be7176d9e343f77525ea8e105c6e6328ad1d0002086290dac81f0d

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=sha256:39e8b277aeefeb0325ef6d64f2dcf985187d7e420a5ae0d4409fd597795f2302

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=sha256:5a006001fc00f9a5901df355cef98fef21c21a75812e2e5edd5b4dce6b96c93a

Pith citing papers

No inbound Pith citation observations are available.