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Paper Citation Record · LEDGER

Efficient Adaptation of Multilingual Models for Japanese ASR

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2412.10705.

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

pith.paper-citation-record.v1
2412.10705 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:44:46.873668Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:02:44.376241Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:02:44.475411Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c7d7c58-5a25-4e11-9b23-2d5842a87242 · outbound

This paper cites Reazonspeech - datasets at hugging face.

Efficient Adaptation of Multilingual Models for Japanese ASR Reazonspeech - datasets at hugging face

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.165370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.796587Z digest=sha256:576e5fd2fdef6913425b7a2ccd7f302d091df15b2b18bed78a6e10badbf187eb

Observation 6c6d1ddc-68bc-4e59-825e-296214bcb94c · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

Efficient Adaptation of Multilingual Models for Japanese ASR Robust speech recognition via large-scale weak supervision

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.154222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.800975Z digest=sha256:27dab832e27077bdfc94da19ce8bd3eddf3cdbd7ec86b0a95550f64fa2737152

Observation 2e89f7c6-4846-4da4-a825-533399c0d10e · outbound

This paper cites whisper/model-card.md, 2024.

Efficient Adaptation of Multilingual Models for Japanese ASR whisper/model-card.md, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.142613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.805351Z digest=sha256:f3c059876e62b05cf7a4487f900115b9e47358aaa97293774b8d586812293db5

Observation 3d9369e7-ea9f-4ebc-956e-a4097862fe56 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Efficient Adaptation of Multilingual Models for Japanese ASR Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T15:44:46.809835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:44:46.809835Z digest=sha256:4f6a2c741fb2d2cdbfc87c44674401d5f13362b58ea33c74b293f8f188e4c612

Observation 7e124679-cb1f-4ce0-bb3c-5694f53ebdcc · outbound

This paper cites [Accessed 09-12- 2024].

Efficient Adaptation of Multilingual Models for Japanese ASR [Accessed 09-12- 2024]

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.119211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.813677Z digest=sha256:c9a19da0530faedf4e395cab01ede948aad51361310dab9f4179f4912f9fb966

Observation 5285fbce-8728-4e41-b9f0-cd73bfbacdf4 · outbound

This paper cites an unresolved cited work.

Efficient Adaptation of Multilingual Models for Japanese ASR Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:44:47.100710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.817655Z digest=sha256:6361439bc7e051e021a02b805dad0741c1513e8b01bd0f43d56bdb5ca730ffc2

Observation ff907118-91b6-4d6d-b663-c579e879799c · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech, 2022.

Efficient Adaptation of Multilingual Models for Japanese ASR FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech, 2022

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.089188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.821702Z digest=sha256:5edb88bfbd2b02c000332726b63b858532dc8100c447b18e88af5256b3365405

Observation 2cd09cf9-59e1-4779-a80a-33a143f0af57 · outbound

This paper cites Tyers, and Gregor Weber.

Efficient Adaptation of Multilingual Models for Japanese ASR Tyers, and Gregor Weber

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.078097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.825170Z digest=sha256:13408427221e9ebf5dcb7b2e7e6cec70da201e384496cc6814a90278dec0fb3b

Observation 40c8c40c-a786-4577-a8ee-d0da02ae230d · outbound

This paper cites JSUT corpus: Free large-scale Japanese speech corpus for end-to-end speech synthesis, 2017.

Efficient Adaptation of Multilingual Models for Japanese ASR JSUT corpus: Free large-scale Japanese speech corpus for end-to-end speech synthesis, 2017

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.067117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.828988Z digest=sha256:c3d189f1eace365281df5604e940f93e86c31ab9f3e7a41ce25ca75ddcde0ad5

Observation 3024e98e-ddeb-43d3-bba0-66cfb6da7580 · outbound

This paper cites ReazonSpeech: A Free and Massive Corpus for Japanese ASR, 2023.

Efficient Adaptation of Multilingual Models for Japanese ASR ReazonSpeech: A Free and Massive Corpus for Japanese ASR, 2023

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.055548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.832905Z digest=sha256:096525be7ecc2fae8cb0f9fdfe9c59fd26d9120948e8c4d16b783a6215b4fbec

Observation 752e6ea3-5ae9-4dfe-8deb-80a300270874 · outbound

This paper cites Robust speech recognition via large-scale weak supervision, 2022.

Efficient Adaptation of Multilingual Models for Japanese ASR Robust speech recognition via large-scale weak supervision, 2022

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.043959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.836893Z digest=sha256:9159519dc443e18aec5a11ef34098a2ab8a33ccb5ec9ab057a757558ec7aac34

Observation 7de4d8d3-9e1b-4cbd-a239-092ebdb7d0ca · outbound

This paper cites Reazonspeech v2.1: Setting a new standard in japanese asr, 2024.

Efficient Adaptation of Multilingual Models for Japanese ASR Reazonspeech v2.1: Setting a new standard in japanese asr, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.031607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.840812Z digest=sha256:a3e9d1e08826ab8e917500bedc19e60324b23f8272786a77ed3033be395691a8

Observation b1ecc640-7c73-4e57-bdc4-f26b059e7bc0 · outbound

This paper cites Introducing whisper.

Efficient Adaptation of Multilingual Models for Japanese ASR Introducing whisper

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.019719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.844435Z digest=sha256:a3f47c722babc2c55d6c2a28fe9426ec383385cad2456e70d33e07040db05f1a

Observation 8638c003-984b-4b7b-a860-e467511e1955 · outbound

This paper cites Whisper: Speech recognition model capable of recognizing 99 languages.

Efficient Adaptation of Multilingual Models for Japanese ASR Whisper: Speech recognition model capable of recognizing 99 languages

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:47.007168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.847867Z digest=sha256:106a8c03445faecd948a9fef8a3568b9ec1a97780ab36605b8026df554a09b22

Observation 25a97acf-09fe-4a67-b8cc-bab181264975 · outbound

This paper cites Reazonspeechnemo hug- ging face repository.

Efficient Adaptation of Multilingual Models for Japanese ASR Reazonspeechnemo hug- ging face repository

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:46.994124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.851617Z digest=sha256:cb07d9ff008e84f66a9cdc625029c51ad3e1a551438f5657f4756c0b2a4f4cce

Observation d34b74ee-b97d-42e1-95ef-ef26c4221e06 · outbound

This paper cites Reazonspeechk2 hugging face repository.

Efficient Adaptation of Multilingual Models for Japanese ASR Reazonspeechk2 hugging face repository

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:46.971676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.855312Z digest=sha256:83a32a466d02fd7d6a05ea21dfb6f20f16900f44b6c538de492b51545a2291fd

Observation 6bbd0bf4-30a4-48bc-a0b3-896fb141404d · outbound

This paper cites Reazonspeechespnet hug- ging face repository.

Efficient Adaptation of Multilingual Models for Japanese ASR Reazonspeechespnet hug- ging face repository

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:46.953991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.859202Z digest=sha256:8b38bd36af21ab7cbabf6202a5b9b62093fbfe7485d260e2154729ce890f0ec1

Observation a80b937a-0b8a-445f-93e9-ed479b3baef2 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Efficient Adaptation of Multilingual Models for Japanese ASR Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T15:44:46.862902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:44:46.862902Z digest=sha256:588a478cf9064453f9536caa27a84c1e3568d57990b654f42a79937f347af751

Observation a103e1a6-4e35-4e86-b01a-cd9e37b9295f · outbound

This paper cites Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assess- ment, 2023.

Efficient Adaptation of Multilingual Models for Japanese ASR Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assess- ment, 2023

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:46.932329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.866329Z digest=sha256:9da2ffeb1e638ee1f41ee77f537e64b0aa5a86e94dc25a19d17464f715e7f990

Observation 59ea09b8-3f94-4680-a9e4-4c0f38db69b1 · outbound

This paper cites Le- nient Evaluation of Japanese Speech Recognition: Model- ing Naturally Occurring Spelling Inconsistency.

Efficient Adaptation of Multilingual Models for Japanese ASR Le- nient Evaluation of Japanese Speech Recognition: Model- ing Naturally Occurring Spelling Inconsistency

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:44:46.919558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:44:46.870019Z digest=sha256:922be695c17741bc8437c3779a173228f6fbb09a04e420dd4d13a8bbcc62b64a

Observation bf63702e-89b8-4d4b-a882-2d9c1d41c6f3 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Efficient Adaptation of Multilingual Models for Japanese ASR SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T15:44:46.873668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:44:46.873668Z digest=sha256:0aed6b3ac982609c1d044e722cabdd915a7e6494f5eb342e42c84a4cf62a7be2

Pith citing papers

Observation 2e399dec-e9d1-410c-9f25-1cdf3804fc0b · inbound

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data cites this paper.

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data Efficient Adaptation of Multilingual Models for Japanese ASR

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:02:44.481540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:02:44.376241Z digest=sha256:6d7d0c67939c15508f6a7dfff3f8d8865719d970904839d88cb6055246228c03