Paper Citation Record · LEDGER

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.14451.

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

pith.paper-citation-record.v1
2507.14451 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:09:11.133625Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:09:06.342988Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:09:11.474081Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy29
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a700c720-39c7-4038-93fb-ad02696a0dd3 · outbound

This paper cites This tech- nology is at the core of various ‘AI-based products’ for chil- dren, at home or in the classroom.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications This tech- nology is at the core of various ‘AI-based products’ for chil- dren, at home or in the classroom

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.890130Z

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.

Observation 53479271-50d1-4d36-b394-24682a12a242 · outbound

This paper cites Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T16:09:12.117296Z

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.

Observation 2137c1cf-2845-4bf4-a622-4632ebe2b8a6 · outbound

This paper cites Model Training and Evaluation (on GPU) All training (fine-tuning) and evaluation recipes were adapted from HuggingFace and OpenAI.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Model Training and Evaluation (on GPU) All training (fine-tuning) and evaluation recipes were adapted from HuggingFace and OpenAI

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.860320Z

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.

Observation 747a31f1-a120-4dca-a40a-b8fe0cb18288 · outbound

This paper cites Evaluation of Low-Rank Compression All results for this section are shown in Tab.3.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Evaluation of Low-Rank Compression All results for this section are shown in Tab.3

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:09:18.780399Z

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.

Observation 7e37e971-5279-4b0b-bcb0-dea999f438ba · outbound

This paper cites Our lightweight fine-tuned ‘tiny.en’ model achieves a 15.9% WER for the MyST corpus.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Our lightweight fine-tuned ‘tiny.en’ model achieves a 15.9% WER for the MyST corpus

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.673444Z

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.

Observation 4ac3d1a3-f9a4-40b8-a72a-eac561d07bd8 · outbound

This paper cites an unresolved cited work.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:09:18.520738Z

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.

Observation b7356358-bbe0-4b5a-a5b6-cee7dc10f74c · outbound

This paper cites Lalilo: A Reading Assis- tant for Children Featuring Speech Recognition-Based Reading Mistake Detection,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Lalilo: A Reading Assis- tant for Children Featuring Speech Recognition-Based Reading Mistake Detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.357351Z

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.

Observation 2fa2822f-9670-474b-b960-8274a730d976 · outbound

This paper cites End- to-end evaluation of a spoken dialogue system for learning basic mathematics,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications End- to-end evaluation of a spoken dialogue system for learning basic mathematics,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.202484Z

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.

Observation a3ac294f-9baa-4daf-adae-11af53fbc207 · outbound

This paper cites SoapBox Labs Fluency Assessment Platform for Child Speech,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications SoapBox Labs Fluency Assessment Platform for Child Speech,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.152147Z

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.

Observation 3f53dc51-281a-4d6b-8050-933352d6a3e0 · outbound

This paper cites Using Commercial ASR Solutions to As- sess Reading Skills in Children: A Case Report,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Using Commercial ASR Solutions to As- sess Reading Skills in Children: A Case Report,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:18.012256Z

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.

Observation aebbf547-06df-4763-afdb-6e5db18a4fa4 · outbound

This paper cites Child speech recog- nition in human-robot interaction: evaluations and recommenda- tions,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Child speech recog- nition in human-robot interaction: evaluations and recommenda- tions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.875289Z

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.

Observation 917962d8-cb4f-4fda-a2ac-5bffc520524f · outbound

This paper cites Challenges remain in building asr for spontaneous preschool children speech in naturalistic educa- tional environments,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Challenges remain in building asr for spontaneous preschool children speech in naturalistic educa- tional environments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.687124Z

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.

Observation 896ffcaf-d8aa-48e9-b09c-6a48b1dc0512 · outbound

This paper cites Activ- ity focused speech recognition of preschool children in early childhood classrooms,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Activ- ity focused speech recognition of preschool children in early childhood classrooms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.619023Z

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.

Observation 501403af-cb61-4b27-a9a3-b9be416434b1 · outbound

This paper cites an unresolved cited work.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:09:17.431792Z

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.

Observation d7df957d-2553-4483-8af6-32fd7e312dec · outbound

This paper cites Case proceedings,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Case proceedings,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.181345Z

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.

Observation e831cb0f-6c01-4804-81d1-1589a9970712 · outbound

This paper cites Amazon.com (alexa), u.s. v.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Amazon.com (alexa), u.s. v

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:17.003138Z

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.

Observation 52c3292e-5e76-4b8b-8027-3e5fa0e7ec06 · outbound

This paper cites Navigating the united states legislative landscape on voice privacy: Existing laws, proposed bills, protec- tion for children, and synthetic data for ai,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Navigating the united states legislative landscape on voice privacy: Existing laws, proposed bills, protec- tion for children, and synthetic data for ai,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.791011Z

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.

Observation 28958802-37c1-41cf-bad1-2c562d4ff157 · outbound

This paper cites Exploring discrete speech units for privacy-preserving and efficient speech recognition for school-aged and preschool children,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Exploring discrete speech units for privacy-preserving and efficient speech recognition for school-aged and preschool children,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.388707Z

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.

Observation 9708fa4f-2411-432b-ba83-d222f1ee963e · outbound

This paper cites On-device streaming transformer-based end-to-end speech recognition.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications On-device streaming transformer-based end-to-end speech recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.293954Z

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.

Observation 207a6ab2-7129-4713-8f3d-24758e484043 · outbound

This paper cites Speech understanding on tiny devices with a learning cache,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Speech understanding on tiny devices with a learning cache,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:16.078373Z

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.

Observation edbb7398-6096-4155-b7af-bab0809a92e5 · outbound

This paper cites General data protection regulation,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications General data protection regulation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.822958Z

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.

Observation 38c040fb-f15f-4078-b677-144a0d5d4755 · outbound

This paper cites Uk’s data protection legislation,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Uk’s data protection legislation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.656091Z

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.

Observation 345b447d-443c-41de-9826-271d41429f12 · outbound

This paper cites Acoustic variability and automatic recognition of children’s speech,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Acoustic variability and automatic recognition of children’s speech,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.439122Z

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.

Observation 329ff78c-9efc-4ada-8afc-383374c3f3f7 · outbound

This paper cites My science tutor and the myst corpus,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications My science tutor and the myst corpus,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.279378Z

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.

Observation faebb377-7342-4336-ba74-283c28554c39 · outbound

This paper cites End-to-end neural systems for automatic children speech recognition: An empirical study,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications End-to-end neural systems for automatic children speech recognition: An empirical study,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:15.053925Z

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.

Observation 27b552d9-2e20-491f-afa0-71db3cdbc902 · outbound

This paper cites Adaptation of whisper models to child speech recognition,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Adaptation of whisper models to child speech recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.748789Z

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.

Observation 2cc401d3-96d9-4832-8967-7a63b39c05d5 · outbound

This paper cites Kid-whisper: Towards bridging the performance gap in auto- matic speech recognition for children vs. adults,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Kid-whisper: Towards bridging the performance gap in auto- matic speech recognition for children vs. adults,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.506244Z

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.

Observation 5cf80c00-1a8b-462d-880a-2191584eb2c8 · outbound

This paper cites Benchmarking chil- dren’s asr with supervised and self-supervised speech foundation models,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Benchmarking chil- dren’s asr with supervised and self-supervised speech foundation models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.209893Z

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.

Observation b349c1c9-153e-44ff-8ff0-b04a1aea3c4a · outbound

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

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Robust speech recognition via large-scale weak supervision,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:14.010768Z

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.

Observation 6b135c6d-096f-4b9e-9e6e-3aaaa5137f9a · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.808466Z

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.

Observation 0706fb75-3ad3-4479-8fcb-9723ed7f8524 · outbound

This paper cites Whisper tokenizer,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Whisper tokenizer,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.616196Z

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.

Observation 8f757194-99af-4068-bc23-9a7e89ecc735 · outbound

This paper cites an unresolved cited work.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:09:13.452857Z

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.

Observation fe53df9d-a51c-49a6-9627-41b79b733b93 · outbound

This paper cites Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:09.698232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b522652d-09f8-4ca1-a814-011e527e996c · outbound

This paper cites Why is distil-small.en slower than distil- large-v2?.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Why is distil-small.en slower than distil- large-v2?

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.244152Z

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.

Observation 6ce3eac8-9d91-4918-8ddd-c7f1142bdcdc · outbound

This paper cites LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:09:11.324126Z

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.

Observation 47ff2256-28e1-43cf-af53-92c32d8746db · outbound

This paper cites Speech signal to noise ratio measurements,.

Adapting Whisper for Lightweight and Efficient Automatic Speech Recognition of Children for On-device Edge Applications Speech signal to noise ratio measurements,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:13.057473Z

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.

Pith citing papers

Observation 53479271-50d1-4d36-b394-24682a12a242 · inbound