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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.17820.

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

pith.paper-citation-record.v1
2606.17820 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 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

38 of 38 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b1df5ef-d811-4730-8c8e-7a28b3b56621 · outbound

This paper cites The Limits of Interpretation.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation The Limits of Interpretation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:683e5f67f7cc47406227352382ccf99cc93bfa10b04498f4b4fdc92e439fd456

Observation cffc284d-a447-4255-9217-58c38a7090d9 · outbound

This paper cites Temporal Tagging on Different Domains: Challenges, Strategies, and Gold Standards.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Temporal Tagging on Different Domains: Challenges, Strategies, and Gold Standards

Reference 2

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:c9999362715e63c5809c3f61b3d3afd71d83c1b36d3ba4027ede16597d658e1e

Observation dbbae8c3-5746-4fba-b25a-25999ab1c166 · outbound

This paper cites Chercheur.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Chercheur

Reference 3

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:b8c07b3a26611a69edf77b4bf7c97dd8c50264b222b00812c178acde1e37a264

Observation 94b0591f-2e5a-4697-89fd-c40bb16158a6 · outbound

This paper cites Castor and L.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Castor and L

Reference 4

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:3d436513431e1566f13583a58c4169f6e8e631f5a911c7e2792017318340675e

Observation 2c23e505-8dcb-4843-8a8a-7b3bc9f5229e · outbound

This paper cites Superman and B.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Superman and B

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:7cb694cffb28e7c6baebf22f3d632155fe4bd58e8ed72099cdfe7cbd4792cefc

Observation b4490233-162f-46e0-a53f-942b0fddd6de · outbound

This paper cites Elementary Statistics.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Elementary Statistics

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:8e8f17969e5bb38c93f3ca3219d6f3d4296d2891b9174ed97007f23e0b160248

Observation 8be4dce9-ccf0-4bf4-af4b-c8b78a562024 · outbound

This paper cites 1954--58.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 1954--58

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:423cbef13fb66b0190cc35405f4c82d1c0a153c5926f5896d73d1df187982a35

Observation 8f14205b-f55a-422b-9a0c-7893e8d621f5 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:6d25f9e2f62cf42ed394d4f0847544013d8d81d515090940fa6bfd2065ceabdc

Observation 14719736-b877-4e37-ae09-1b3ae6544584 · outbound

This paper cites Natural Fibre Twines.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Natural Fibre Twines

Reference 9

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:0680a667b641434067b284c0393111d42fae658f3376665bc2782cc0fe7e1e74

Observation 32d95778-4f44-43aa-9e54-7f15697c6223 · outbound

This paper cites Language: Its Nature, Development, and Origin.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Language: Its Nature, Development, and Origin

Reference 10

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:f3bc59c8703734aa21aa765d453ee96acc1f9a94572c91eab720c6cf872e1f9f

Observation b07f57ae-b9f0-4133-b747-b9041aa6f25c · outbound

This paper cites and Smith, A.B.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation and Smith, A.B

Reference 11

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:316f3414727f7b1ead6401547cdf9cd8e07ac7fe71d9eafb92bb8933044f93d9

Observation 103e1f30-7d38-4b42-a1f9-72a9132b3a54 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:107c69020fb296006e3551612e8b2c0d6aeb99c7391d9ce217c39eb1355ff000

Observation 9b2f24d7-e050-479b-8f8b-e90f6e92ddb5 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:8560e2e0b09d7c0e7ca0c385dfdcf548f028e245eaf28b6259ea3a75ab9231a3

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

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

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

Reference 14

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

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:041a799867077d3cd7666fef75bb26ae82e1cb87b08b9ce03dafdc8b0f84aa9f

Observation 79482d95-3cec-4ea4-9dd2-e748ad82a08b · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:b0465458794c42c6e3282d6e303ab32f857c193b62aca8dc6cdc72104c5c65fd

Observation 29ffcd5e-4be8-4f63-99cc-c1bbf1b8fdfb · outbound

This paper cites 2023 , organization=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2023 , organization=

Reference 16

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:82c1b2269288376f18d645bfa31b67fda583bd4e91c224a1dea3c7daf61f6373

Observation d98771b7-c96b-4547-9f9a-31db0ac2f89a · outbound

This paper cites 2015 , publisher=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2015 , publisher=

Reference 17

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:38d68858be0bd51e745042d15987f7ddf8e1ca4a50bc8c4b8b8015cce2eec436

Observation 521a3345-91d7-4c9c-9265-cd56fa74f159 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 2703e192-aef0-4b99-94e2-91129a97326f · outbound

This paper cites 2021 , organization=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2021 , organization=

Reference 19

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Observation 7911e8b7-c277-4228-bd8a-3519c14001c9 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:3b70e327e8c07257190313f91caa80610cb116ff7f30389a0944416e11ad631f

Observation e1623d87-c542-4ec7-804b-50977cef76b6 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:383fd8e0cd450dff0fa3d34134e4be5aa8a45fedbd30a7e9d3ded78671315d7a

Observation ba82493c-67c6-48ae-8b10-2520b28a05e9 · outbound

This paper cites 2020 , organization=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2020 , organization=

Reference 22

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:56ec60771f19102f210edab831548dc4040dc8a19c3a96091131a2d630e0d634

Observation f7346c0d-46fb-4c63-bffb-fda1b75c60ff · outbound

This paper cites Proceedings of the twelfth language resources and evaluation conference , pages=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Proceedings of the twelfth language resources and evaluation conference , pages=

Reference 23

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:2dc42af69b7818718e4ccb56e664a3b7c03f363809b51820ef4946af14d50a2a

Observation 9b439582-847d-4e66-96d5-cb3adfe62c1f · outbound

This paper cites 2023 , organization=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2023 , organization=

Reference 24

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:70530b6c4f46ca37f6315b0534279575a7e5afc5d53384a28155241b4e8d500e

Observation 0f076c5f-a8f0-4ebc-921d-532515218b09 · outbound

This paper cites 2019 , organization=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2019 , organization=

Reference 25

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:c346bcbc3082f8ee4e7e84949285f73b662d5216d2e5f112c3994ac8f45c3d77

Observation 77fc675c-9f94-498f-8eff-dc9bcaf3624b · outbound

This paper cites 2023 , organization=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2023 , organization=

Reference 26

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:63c97c7bb9b016dc9c2f2fbbfefa76c5e2311790061f2472df30136c512a1d9d

Observation 1cafd0f3-272a-4859-9c12-14b01049c02b · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:4a82f4e06f75f5b398fe5fd6fc2aff4b9fa38b85ceb5b1f448f8674349e095a2

Observation 1a061b89-3166-4c1d-87f7-262ce4cba25c · outbound

This paper cites 2023 , organization=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2023 , organization=

Reference 28

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:6b422f48bd1dafda1a415bef650672097fe2c478199a8743cc12fd183ecbc8eb

Observation 228a6c0e-938d-475f-bdda-3b850976ccdd · outbound

This paper cites 2010 , publisher=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation 2010 , publisher=

Reference 29

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no resolver link, observed 2026-06-27T00:41:45.704096Z

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:fa428da5344610089720a5f8854be9506e4d84046d6fd8caea6a21b8a7fe2bf8

Observation 6b3ca487-a637-4fbb-83d3-891407d6d8e3 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:a5754b5d3b6c2dcd3ea2b3ee98f912c8b65c7d54462c90e965590bc25c4fcfc1

Observation 868c9c33-3f2e-47d1-8447-b7a4c542a8ee · outbound

This paper cites Moore and Lucy Skidmore , title=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Moore and Lucy Skidmore , title=

Reference 31

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no resolver link, observed 2026-06-27T00:41:45.704096Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:8eb3179c157ea5b3ac4502bb9c6cd67d6b878a3c8e14d7a421587199090e133b

Observation c3741bf1-05f0-4c5e-be57-c0d69a29c611 · outbound

This paper cites an unresolved cited work.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:f40108c1532d8a659654ae255bc9cda5f9812a15772e6d689bfbe1a0f20b1604

Observation 3c6ed8a7-71af-4423-bbd8-c6efbef6073c · outbound

This paper cites ICASSP 2021-2021 IEEE international conference on acoustics, Speech and Signal Processing (ICASSP) , pages=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation ICASSP 2021-2021 IEEE international conference on acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 33

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:9a9409aabd54fdaeea653690d6e3e898141d5870f014fde46c36a43f2d7f3d10

Observation 0bbda1b1-f235-4278-b4a0-8576387e9af6 · outbound

This paper cites Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model

Reference 34

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verified exact
arxiv_id, observed 2026-07-03T21:18:59.521383Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:517a755b2314b1265b0413b0250aba1f691b3f02ebe82169c11bf5da75c3a797

Observation 3500304d-2437-43dc-b35b-82f68de55c63 · outbound

This paper cites ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:f9156043786b3ab15d9b5745cfee20b70a3aad23d33bb695befd288e32a1e84a

Observation 0749f2f9-a0c1-4c95-b5b0-d6546878f793 · outbound

This paper cites Moore and Lucy Skidmore , title=.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Moore and Lucy Skidmore , title=

Reference 36

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no resolver link, observed 2026-06-27T00:41:45.704096Z

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source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:220f3ca24bd0d2503f0f2eed02c27141d1d766dcc01913ed4a390feb3449d4c0

Observation f29d11a8-f518-43dc-b6c6-07ec3a3ce434 · outbound

This paper cites doi:10.5281/zenodo.14006617 , url =.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation doi:10.5281/zenodo.14006617 , url =

Reference 37

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verified exact
doi, observed 2026-06-27T00:50:19.971220Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:a2d7417015e9cba1d2bdbccb9fef1539aa162dba97313cbd5df82f9ab5797ab5

Observation 9cf5a481-1388-4ea2-bd62-884ee1b15a90 · outbound

This paper cites Dryer and Martin Haspelmath, editors.

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation Dryer and Martin Haspelmath, editors

Reference 38

Resolution
metadata mismatch
doi, observed 2026-06-27T00:50:19.969121Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T00:41:45.704096Z digest=sha256:c768f87f2dc4b84696be9b0ea6cbd3702ce16f4f1bf238dcc68b029cb887cbb5

Pith citing papers

No inbound Pith citation observations are available.