Paper Citation Record · LEDGER

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2606.20689.

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

pith.paper-citation-record.v1
2606.20689 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T03:38:33.409949Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

verified exact1
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33600903-f2ab-4b95-a391-c17238e7f906 · outbound

This paper cites Predictive ability of a predischarge hour-specific serum bilirubin for subsequent significant hyperbilirubinemia in healthy term and near-term newborns,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Predictive ability of a predischarge hour-specific serum bilirubin for subsequent significant hyperbilirubinemia in healthy term and near-term newborns,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc625319-c16f-4022-8d4f-e03772b8c920 · outbound

This paper cites Maternal detection of neonatal jaundice,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Maternal detection of neonatal jaundice,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167bcf88-d5ef-4d58-8ca4-7e0557241635 · outbound

This paper cites The CMS experiment at the CERN LHC.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation The CMS experiment at the CERN LHC

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:48:46.470449Z

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.

Observation 65fb6f38-16e9-4a15-a7a1-bb429a64cc4d · outbound

This paper cites Number of smartphone users in India 2026,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Number of smartphone users in India 2026,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c60a0e8-47e3-475f-93c2-56a0ab30045c · outbound

This paper cites Estimation of neonatal hyperbilirubinaemia with smartphone,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Estimation of neonatal hyperbilirubinaemia with smartphone,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d131f381-8318-423a-acfa-131235de4c88 · outbound

This paper cites Deep learning for neonatal jaundice sever- ity classification from smartphone photos,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Deep learning for neonatal jaundice sever- ity classification from smartphone photos,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3f89281-18a1-444d-835f-85d82379b192 · outbound

This paper cites BiliScreen: Smartphone- based scleral jaundice monitoring,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation BiliScreen: Smartphone- based scleral jaundice monitoring,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7ad04f-b0a8-4443-b6ed-5cd2d7475b56 · outbound

This paper cites Smartphone-based neonatal jaundice detection using convolutional neural networks,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Smartphone-based neonatal jaundice detection using convolutional neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c11d903d-6769-4c58-974f-0ad186dd4d51 · outbound

This paper cites Bias in AI-based jaundice detection across skin tones: a systematic review,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Bias in AI-based jaundice detection across skin tones: a systematic review,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5f32dd-4917-4307-96ae-476348accd1a · outbound

This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation EfficientNet: Rethinking model scaling for convolutional neural networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d2e966-6772-4cc9-9b8c-b99b901ca038 · outbound

This paper cites GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4d4a80-1f97-470f-94ba-bbcb6e118c1e · outbound

This paper cites MelanoGANs: High resolution skin lesion synthesis with GANs,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation MelanoGANs: High resolution skin lesion synthesis with GANs,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1ea5cc-b03f-4ae8-bc83-62a938be67b3 · outbound

This paper cites Jaundice Detection in Newborns Dataset,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Jaundice Detection in Newborns Dataset,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4424670f-87c7-41f5-8f63-7d7e42db7249 · outbound

This paper cites Available: https://www.kaggle.com/datasets/andrewmvd/ jaundice-detection-in-newborns.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Available: https://www.kaggle.com/datasets/andrewmvd/ jaundice-detection-in-newborns

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa0c66f-108e-451e-bc06-f56ba88eabc7 · outbound

This paper cites Blood Group Detection Using Infrared Hand Images and Machine Learning,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Blood Group Detection Using Infrared Hand Images and Machine Learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cac9311-68c7-4ae9-a360-1837525d229e · outbound

This paper cites Synthetic Image Generation for Mitigating Overfitting in Deep Learning under Data-Scarce Conditions,.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Synthetic Image Generation for Mitigating Overfitting in Deep Learning under Data-Scarce Conditions,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T03:38:33.409949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfcc3ae6-1fd9-4654-ac59-0134acbe7335 · outbound

This paper cites AnemiaVision: Non-Invasive Anemia Detection via Smartphone Imagery Using EfficientNet-B3 with TrivialAugmentWide, Mixup Augmentation, and Persistent Patient History Management.

NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation AnemiaVision: Non-Invasive Anemia Detection via Smartphone Imagery Using EfficientNet-B3 with TrivialAugmentWide, Mixup Augmentation, and Persistent Patient History Management

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-03T17:48:46.464793Z

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.

Pith citing papers

No inbound Pith citation observations are available.