Paper Citation Record · LEDGER

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities

As of 9 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2607.03201.

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

pith.paper-citation-record.v1
2607.03201 v1

Coverage vector

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

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External citation measurements

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Outbound references

Observation 6c23bb2c-e763-4bc8-9aa0-9fc481a64fb8 · outbound

This paper cites However, three problems have prevented LFR corpora from be- ing fully leveraged for speech tool development and evaluation.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities However, three problems have prevented LFR corpora from be- ing fully leveraged for speech tool development and evaluation

Reference 1

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Unresolved cited work

Reference 2

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This paper cites Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities

Reference 3

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Unresolved cited work

Reference 4

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Unresolved cited work

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This paper cites friend” or “cousin.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities friend” or “cousin

Reference 6

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Observation 53def726-fe24-45c9-aca2-407fb833f018 · outbound

This paper cites Without systematic governance, the collection risks either over-restriction, which limits scientific progress, or under-restriction, which compromises participant privacy.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Without systematic governance, the collection risks either over-restriction, which limits scientific progress, or under-restriction, which compromises participant privacy

Reference 7

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Observation 023928f3-e9bf-44d3-9cc1-76faf17b6f9d · outbound

This paper cites Retraining on public data alone yields substantially lower performance than the state of the art (44.4% vs.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Retraining on public data alone yields substantially lower performance than the state of the art (44.4% vs

Reference 8

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This paper cites KS, LB, TK, AB, LP, ST, and AC were supported in part by the J.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities KS, LB, TK, AB, LP, ST, and AC were supported in part by the J

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This paper cites All scientific content, methodology, ex- periments, analyses, and conclusions were conceived, verified, and approved by the authors.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities All scientific content, methodology, ex- periments, analyses, and conclusions were conceived, verified, and approved by the authors

Reference 10

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Observation 87c4a761-dbc4-47f6-8d3b-7af20da22c16 · outbound

This paper cites Daylong egocentric recordings in small-and large-scale language communities: A practical intro- duction,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Daylong egocentric recordings in small-and large-scale language communities: A practical intro- duction,

Reference 11

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Observation 4fbfba34-e7c4-4fdd-a735-392ecbb44172 · outbound

This paper cites Longform recordings of everyday life: Ethics for best practices,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Longform recordings of everyday life: Ethics for best practices,

Reference 12

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This paper cites Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity,

Reference 13

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Homebank: An online repository of daylong child-centered audio recordings,

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This paper cites Practical solu- tions for sharing data and materials from psychological research,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Practical solu- tions for sharing data and materials from psychological research,

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This paper cites The LENA natural language study,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities The LENA natural language study,

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This paper cites Babyhubert: Multilingual self-supervised learning for segmenting speakers in child-centered long-form recordings,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Babyhubert: Multilingual self-supervised learning for segmenting speakers in child-centered long-form recordings,

Reference 17

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This paper cites BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings

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This paper cites A new workflow for semi-automatized annotations: Tests with long-form naturalis- tic recordings of childrens language environments,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities A new workflow for semi-automatized annotations: Tests with long-form naturalis- tic recordings of childrens language environments,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Managing, storing, and sharing long-form recordings and their annotations,

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This paper cites From childes to talkbank,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities From childes to talkbank,

Reference 21

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Ticuna (tca) language documentation: A guide to ma- terials in the california language archive,

Reference 22

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Demographic biases in naturalistic language recordings in the childes database,

Reference 23

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Systematic inequal- ities in language technology performance across the world’s lan- guages,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Appropriating cultural conceptions of childhood: Participation in conversation,

Reference 25

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This paper cites Word-minimality, epenthesis and coda licensing in the early acquisition of english,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Word-minimality, epenthesis and coda licensing in the early acquisition of english,

Reference 26

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This paper cites Acoustical cues and grammatical units in speech to two preverbal infants,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Acoustical cues and grammatical units in speech to two preverbal infants,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Two-year-old children’s production of multiword utterances: A usage-based analysis,

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This paper cites Construction and automatization of a minnan child speech corpus with some research findings,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Construction and automatization of a minnan child speech corpus with some research findings,

Reference 29

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Ticuna conversations, 2018–19,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Available: https://cla.berkeley.edu/collection/ ?collid=11179

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities BabyLogger versus LENA microphones: pilot study,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Bergelson Seedlings HomeBank Corpus,

Reference 33

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities VanDam Cougar HomeBank Corpus,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities FauseyTrio HomeBank Cor- pus,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities The relationship between reciprocal family interac- tions and the language development of the younger sibling,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities A lon- gitudinal long-form dataset of 6–18-months-old Japanese infants’ auditory home environment,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities The language 0-5 project,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Lyon HomeBank Corpus,

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This paper cites Long-form recordings from chil- dren growing up in various places in Namibia,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Long-form recordings from chil- dren growing up in various places in Namibia,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities PhonSES: A pilot study to measure socioeconomic status association with infants’ word and sound processing,

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Available: https://gin.g-node.org/LAAC-LSCP/ phonSES-public

Reference 42

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Early language ex- perience in a papuan community,

Reference 43

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Long-form recordings from children in rossel island

Reference 44

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Cychosz HomeBank Corpus,

Reference 45

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities It makes a village: child care and prosociality,

Reference 46

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Long-form first-period recordings from children in timor-leste,

Reference 47

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Casillas Home- Bank Corpus,

Reference 48

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Characterization of children’s verbal input in a forager-farmer population using long-form audio recordings and diverse input definitions,

Reference 49

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities V ocal input and output among infants in a multilingual context: Evidence from long-form recordings in vanuatu,

Reference 50

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities San Joaquin Valley HomeBank Corpus,

Reference 51

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Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Winnipeg HomeBank Corpus,

Reference 52

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Observation 0aad8b52-0f3d-4792-bd3b-612a84ba3243 · outbound

This paper cites The interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities The interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-12T04:11:03.723969Z

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Observation e008eec9-595a-4cee-89df-88611b3eba67 · outbound

This paper cites Developing a cross- cultural annotation system and metacorpus for studying infants’ real world language experience,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Developing a cross- cultural annotation system and metacorpus for studying infants’ real world language experience,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-12T04:11:03.723969Z

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Observation 09941087-ebbc-4c89-8566-e01c501e8816 · outbound

This paper cites The interspeech 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities The interspeech 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T04:11:03.723969Z

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Observation 5c2133ec-94a7-47ac-910d-dd72dbabb1ed · outbound

This paper cites Employing self-supervised learning models for cross-linguistic child speech maturity classification,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Employing self-supervised learning models for cross-linguistic child speech maturity classification,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-12T04:11:03.723969Z

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Observation c0adee27-d937-4107-9d09-7d99c3a63052 · outbound

This paper cites Employing self-supervised learning models for cross-linguistic child speech maturity classification.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Employing self-supervised learning models for cross-linguistic child speech maturity classification

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T04:11:03.723969Z

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Observation 7b156a03-78d1-4b6a-b6a5-8eab03e7d3c8 · outbound

This paper cites Decoupled weight de- cay regularization,.

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Decoupled weight de- cay regularization,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T04:11:03.723969Z

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Pith citing papers

Observation 493c40f2-70b9-4090-a8da-2532555204c5 · inbound