Paper Citation Record · LEDGER

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.11072.

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

pith.paper-citation-record.v1
2506.11072 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:34:38.294470Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:34:33.433409Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:34:38.476434Z

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy32
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcbdc017-684d-4d2b-8bc7-22a8265777f2 · outbound

This paper cites Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling

Reference 1

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Observation 23bfc426-269a-48f5-9e12-2193e80ea712 · outbound

This paper cites an unresolved cited work.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:34:44.894819Z

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Observation f468fd21-f1a0-44d2-a70f-80317361d5df · outbound

This paper cites an unresolved cited work.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:34:44.693493Z

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Observation a019f656-9eb8-4f15-9e79-c6fd8eda47de · outbound

This paper cites an unresolved cited work.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Unresolved cited work

Reference 4

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Observation 7377d87e-b185-4884-b5b8-14b24c39eab6 · outbound

This paper cites Researchers have delved into the use of such tools with sometimes minimal understanding.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Researchers have delved into the use of such tools with sometimes minimal understanding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:44.370646Z

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Observation 52dc5a50-2fb4-48d7-9db9-3db1df8f3ca8 · outbound

This paper cites an unresolved cited work.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:34:44.192183Z

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Observation af429c43-afd2-4bd4-ab33-53eb9a58f3ad · outbound

This paper cites V ocal markers of autism: Assessing the generalizability of machine learning models,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling V ocal markers of autism: Assessing the generalizability of machine learning models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:44.010759Z

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Observation 6e020cb7-1f8c-46c1-bb39-14565d03e99d · outbound

This paper cites Parameter selection for analyzing conversations with autism spectrum disorder,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Parameter selection for analyzing conversations with autism spectrum disorder,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:43.827574Z

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Observation 89e55c22-7572-4dac-85d0-0904d91ec58c · outbound

This paper cites Classifying autism from crowd- sourced semistructured speech recordings: machine learning model comparison study,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Classifying autism from crowd- sourced semistructured speech recordings: machine learning model comparison study,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:43.644569Z

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Observation d4b963d2-33a3-4c4c-875f-ecd06ff2331e · outbound

This paper cites V oice acoustics allow classifying autism spectrum disorder with high accuracy,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling V oice acoustics allow classifying autism spectrum disorder with high accuracy,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:43.479889Z

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Observation acf12c87-c97e-4583-8c5b-a9c3f82b7d30 · outbound

This paper cites Audio-visual recognition of emotional engagement of people with dementia.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Audio-visual recognition of emotional engagement of people with dementia

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:43.327667Z

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Observation b2e1d572-cf1b-4ada-ae7d-1742a71cc517 · outbound

This paper cites Cross-lingual features for alzheimer’s dementia detection from speech,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Cross-lingual features for alzheimer’s dementia detection from speech,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:43.168863Z

Source-reported events for the cited work

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Observation 2642618a-0462-48c6-a9b4-2a74e5c4142b · outbound

This paper cites Repeatability of commonly used speech and lan- guage features for clinical applications,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Repeatability of commonly used speech and lan- guage features for clinical applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.989512Z

Source-reported events for the cited work

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Observation afbfbc8f-9773-4dc2-b2ff-e85a5322ed0c · outbound

This paper cites Are reported accuracies in the clinical speech machine learning literature overoptimistic?.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Are reported accuracies in the clinical speech machine learning literature overoptimistic?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.849414Z

Source-reported events for the cited work

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Observation 0125ce09-a506-4fba-abe1-4967d5e6b5ca · outbound

This paper cites Opensmile: The mu- nich versatile and fast open-source audio feature extractor,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Opensmile: The mu- nich versatile and fast open-source audio feature extractor,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.691719Z

Source-reported events for the cited work

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Observation 13594b0d-0e0f-47b4-9f17-53d9be669590 · outbound

This paper cites Analyzing short term dynamic speech fea- tures for understanding behavioral traits of children with autism spectrum disorder.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Analyzing short term dynamic speech fea- tures for understanding behavioral traits of children with autism spectrum disorder

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.584937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90d553ea-e581-480f-a010-fef3dd238d37 · outbound

This paper cites Automati- cally predicting perceived conversation quality in a pediatric sam- ple enriched for autism,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Automati- cally predicting perceived conversation quality in a pediatric sam- ple enriched for autism,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.462956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fbdd89b2-bcbf-44ae-b373-06de81359336 · outbound

This paper cites Acoustic changes in speech prosody produced by children with autism after robot- assisted speech training,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Acoustic changes in speech prosody produced by children with autism after robot- assisted speech training,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.359330Z

Source-reported events for the cited work

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Observation 5880e913-f6f3-4e1d-8119-ec5749ce81af · outbound

This paper cites Is voice a marker for autism spectrum disorder? a system- atic review and meta-analysis,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Is voice a marker for autism spectrum disorder? a system- atic review and meta-analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.250000Z

Source-reported events for the cited work

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Observation d6b83cfd-ba6d-45ee-b896-cb443cd72462 · outbound

This paper cites Leakage and the reproducibility crisis in machine-learning-based science,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Leakage and the reproducibility crisis in machine-learning-based science,

Reference 20

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Source-reported events for the cited work

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Observation 82038932-5e37-4b03-9f83-8675c44a3268 · outbound

This paper cites Toward a cumulative science of vocal markers of autism: A cross-linguistic meta-analysis-based inves- tigation of acoustic markers in American and Danish autistic chil- dren,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Toward a cumulative science of vocal markers of autism: A cross-linguistic meta-analysis-based inves- tigation of acoustic markers in American and Danish autistic chil- dren,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.135440Z

Source-reported events for the cited work

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Observation 3960857a-a4df-4c48-8d06-6892bed114de · outbound

This paper cites Praat: doing phonetics by computer,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Praat: doing phonetics by computer,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:42.075904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 105c6661-84b9-417b-8573-0b03dab11a9d · outbound

This paper cites Quantification of speech and syn- chrony in the conversation of adults with autism spectrum disor- der,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Quantification of speech and syn- chrony in the conversation of adults with autism spectrum disor- der,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.991107Z

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Observation f148047a-3431-493a-9893-2aabd01b3d5c · outbound

This paper cites Quantitative analysis of pitch in speech of children with neu- rodevelopmental disorders,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Quantitative analysis of pitch in speech of children with neu- rodevelopmental disorders,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.744115Z

Source-reported events for the cited work

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Observation ec8b0e59-6e82-4859-9e57-7b2cf389469b · outbound

This paper cites Acoustic-prosodic correlates of ‘awkward’prosody in story retellings from adolescents with autism,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Acoustic-prosodic correlates of ‘awkward’prosody in story retellings from adolescents with autism,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.534421Z

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Observation cffbef7a-6145-46fb-9de3-d5fd628b8178 · outbound

This paper cites Analysis of en- gagement behavior in children during dyadic interactions using prosodic cues,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Analysis of en- gagement behavior in children during dyadic interactions using prosodic cues,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.330907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 570370ed-a69f-432f-9156-010f720731fa · outbound

This paper cites Abnormal speech spectrum and increased pitch vari- ability in young autistic children,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Abnormal speech spectrum and increased pitch vari- ability in young autistic children,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:41.149513Z

Source-reported events for the cited work

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Observation 7778d4c4-447f-4f3e-88e4-cfbabed9eca5 · outbound

This paper cites Syllables per word in typical and delayed speech acquisition,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Syllables per word in typical and delayed speech acquisition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.974915Z

Source-reported events for the cited work

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Observation c4631df0-d787-4a76-9cca-1ffccc074239 · outbound

This paper cites The Autism diagnostic ob- servation schedule—generic: A standard measure of social and communication deficits associated with the spectrum of Autism,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling The Autism diagnostic ob- servation schedule—generic: A standard measure of social and communication deficits associated with the spectrum of Autism,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.872293Z

Source-reported events for the cited work

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Observation fb86265a-cb05-45f4-b707-37ab41488a23 · outbound

This paper cites pyannote.audio: neural building blocks for speaker diarization,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling pyannote.audio: neural building blocks for speaker diarization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.686999Z

Source-reported events for the cited work

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Observation eab822b2-4780-4029-870e-4cc9ad0ef7cd · outbound

This paper cites [Online].

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling [Online]

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.500983Z

Source-reported events for the cited work

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Observation 280a4b36-23ae-449e-8d37-2f3ea4537d85 · outbound

This paper cites The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.310969Z

Source-reported events for the cited work

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Observation 60bf03c5-6425-4103-8313-983b28654a60 · outbound

This paper cites Introducing Parsel- mouth: A Python interface to Praat,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Introducing Parsel- mouth: A Python interface to Praat,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:34:37.495039Z

Source-reported events for the cited work

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Observation 8b29e9de-1a17-43f4-81a8-e417df6d5db0 · outbound

This paper cites Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:40.169819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89612ffd-0f91-4c74-968b-ebdca9a8e022 · outbound

This paper cites Why do we need sex-balanced studies of autism?.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Why do we need sex-balanced studies of autism?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:39.981759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c420365-2503-4f89-ac52-2c7284b148d5 · outbound

This paper cites librosa: Audio and music signal analysis in python,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling librosa: Audio and music signal analysis in python,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:39.670386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f78f168a-4c0e-45df-bb8b-54b695678860 · outbound

This paper cites Prosodypro—a tool for large-scale systematic prosody analysis,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Prosodypro—a tool for large-scale systematic prosody analysis,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:39.408847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b986430-e7b7-4d6f-ba30-563584677a8b · outbound

This paper cites Hearing me hear- ing you: Reciprocal effects between child and parent language in autism and typical development,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Hearing me hear- ing you: Reciprocal effects between child and parent language in autism and typical development,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:39.139792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 153880f0-dd0f-45a0-a174-76565e610b07 · outbound

This paper cites Interpersonal synchrony across vocal and lexical modalities in interactions involving children with autism spectrum disorder,.

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Interpersonal synchrony across vocal and lexical modalities in interactions involving children with autism spectrum disorder,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:34:38.868988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation fcbdc017-684d-4d2b-8bc7-22a8265777f2 · inbound