Paper Citation Record · LEDGER

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1909.02543.

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

pith.paper-citation-record.v1
1909.02543 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:50:28.539399Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

18 of 18 outbound references displayed

verified exact2
verified fuzzy11
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3c37ece-edd8-4aba-858f-b0fad174c956 · outbound

This paper cites Machine-based Multimodal Pain Assessment Tool for Infants: A Review.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Machine-based Multimodal Pain Assessment Tool for Infants: A Review

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:50:28.690085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 612ae938-06de-430a-b0ea-b359d5bb4e4e · outbound

This paper cites A review of automated pain assessment in infants: Features, classiﬁ- cation tasks, and databases,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound A review of automated pain assessment in infants: Features, classiﬁ- cation tasks, and databases,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.848970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 68c31bf0-429d-4559-9255-6fbc0390da8c · outbound

This paper cites A comprehensive and context-sensitive neonatal pain as- sessment using computer vision,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound A comprehensive and context-sensitive neonatal pain as- sessment using computer vision,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T04:50:28.480751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32bdf150-0a6f-461c-8ea7-c5c9a866bf37 · outbound

This paper cites Devel- opmental changes in pain expression in premature, full-term, two-and four-month-old infants,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Devel- opmental changes in pain expression in premature, full-term, two-and four-month-old infants,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.836120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c7ea0d1-cc55-41ca-abd8-ed0a7f9df643 · outbound

This paper cites Procedural pain and brain development in premature newborns,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Procedural pain and brain development in premature newborns,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.823648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4eddcb0-1e99-47e6-a0ae-01cea525cfa9 · outbound

This paper cites Emotion detection from infant facial expressions and cries,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Emotion detection from infant facial expressions and cries,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.810583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1e3095ea-c334-4024-8979-597bd2ba0dec · outbound

This paper cites Characterization of infant cries using spectral and prosodic features,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Characterization of infant cries using spectral and prosodic features,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.796372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 806d1d8c-e9b2-40cf-a5b0-13ae51cc2363 · outbound

This paper cites Neonatal cry analysis and categorization system via directed acyclic graph support vector machine,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Neonatal cry analysis and categorization system via directed acyclic graph support vector machine,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.782890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6cc09b3-7b63-489e-a715-4cdf5e61e668 · outbound

This paper cites Multi-Channel Neural Network for Assessing Neonatal Pain from Videos.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:50:28.599367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40521876-bba5-4b12-a5e8-a407bb76e871 · outbound

This paper cites Automatic detection of cry sounds in neonatal intensive care units by using deep learning and acoustic scene simulation,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Automatic detection of cry sounds in neonatal intensive care units by using deep learning and acoustic scene simulation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.770194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 39258687-9d92-43d2-a760-4265460135c9 · outbound

This paper cites Convolutional neural networks for neonatal pain assessment,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Convolutional neural networks for neonatal pain assessment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.757965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c8d079e6-3af7-4b18-acaa-43940d7af015 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:50:28.517218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ef8d4a-747c-40b7-b9bf-c1424585df19 · outbound

This paper cites Deep residual learning for image recognition,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Deep residual learning for image recognition,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:50:28.521009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c87fbb8-62a8-43b8-b2f0-a785ab5c746e · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Deep Speech: Scaling up end-to-end speech recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:50:28.524914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 019f8649-03cb-4d3e-bd95-4527a9241f97 · outbound

This paper cites Analysis of spectrogram image methods for sound event classiﬁcation,.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Analysis of spectrogram image methods for sound event classiﬁcation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.736053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fa8016ce-269a-4ebc-a949-07ef202f5ce0 · outbound

This paper cites an unresolved cited work.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:50:28.532420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77865940-7df1-4611-be8a-a4c0884f7892 · outbound

This paper cites Validation of the pain assessment in neonates (pain) scale with the neonatal infant pain scale (nips),.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Validation of the pain assessment in neonates (pain) scale with the neonatal infant pain scale (nips),

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.716012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6459e87c-98d0-499d-8406-4969f5dcda7f · outbound

This paper cites Identiﬁcation of pain from infant cry vocalizations using artiﬁcial neural networks (anns),.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound Identiﬁcation of pain from infant cry vocalizations using artiﬁcial neural networks (anns),

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:50:28.703920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.