Paper Citation Record · LEDGER

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2501.00464.

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

pith.paper-citation-record.v1
2501.00464 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:55:25.878495Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

32 of 32 outbound references displayed

verified exact15
verified fuzzy4
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fe76953-e62e-48c7-bcb6-d24cc9415fbc · outbound

This paper cites Malaria - W orld Health Organization (WHO).

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Malaria - W orld Health Organization (WHO)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:27.180667Z

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Observation 132fbf93-7c9b-42ad-a562-662beab5b693 · outbound

This paper cites Malaria diagno- sis: a brief review.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Malaria diagno- sis: a brief review

Reference 2

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.337663Z

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Observation f2ca7508-3b76-4430-89c0-5c1282e928d4 · outbound

This paper cites Malaria rapid diagnostic t est performance : re- sults of WHO product testing of malaria RDTs : round 5 (2013).

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Malaria rapid diagnostic t est performance : re- sults of WHO product testing of malaria RDTs : round 5 (2013)

Reference 3

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Observation e69a29a8-17d7-4a68-a137-919375f03575 · outbound

This paper cites Image analysis and machine learning for detecting malaria.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Image analysis and machine learning for detecting malaria

Reference 4

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Observation 319c69f6-9efe-4826-8488-abdbbaebbd4d · outbound

This paper cites Classiﬁcation of Malaria Cel l Images with Deep Learning Architectures.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Classiﬁcation of Malaria Cel l Images with Deep Learning Architectures

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-10T22:55:27.057740Z

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Observation 479825e2-bd24-4fcb-b712-f76497561672 · outbound

This paper cites Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

Reference 7

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Observation c4a83450-700f-4054-b72e-318c95ba9dd9 · outbound

This paper cites Leveraging deep learn- ing techniques for malaria parasite detection using mobile application.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Leveraging deep learn- ing techniques for malaria parasite detection using mobile application

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.254702Z

Source-reported events for the cited work

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Observation 9b0f8dd9-2012-48ed-80c1-952508454934 · outbound

This paper cites Deep Learning and Medical Diagnosis: A Review of Literature.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Deep Learning and Medical Diagnosis: A Review of Literature

Reference 10

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Observation 84861be5-a2da-40ab-ac7c-2b8eb9761660 · outbound

This paper cites Enhancing Perfo rmance of Deep Learning Models with differ- ent Data Augmentation Techniques: A Survey.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Enhancing Perfo rmance of Deep Learning Models with differ- ent Data Augmentation Techniques: A Survey

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-10T22:55:26.875152Z

Source-reported events for the cited work

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Observation 6d298c0e-1ab1-4275-abf8-65a653d36318 · outbound

This paper cites Deep Learning for Smartphone-Based Malaria Para- site Detection in Thick Blood Smears.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Deep Learning for Smartphone-Based Malaria Para- site Detection in Thick Blood Smears

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:55:26.953848Z

Source-reported events for the cited work

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Observation 102735c1-cf36-416a-b206-673f61ef0dc7 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection YOLOv3: An Incremental Improvement

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:55:27.129217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e36bbe6-f0fb-4e5f-84b6-9eda884ea289 · outbound

This paper cites A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Pla smodium falciparum Candi- date Areas in Digitized Blood Smears.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Pla smodium falciparum Candi- date Areas in Digitized Blood Smears

Reference 15

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.184186Z

Source-reported events for the cited work

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Observation bbe63741-a3ec-4b81-bdba-55ce1681361a · outbound

This paper cites A comparison of thick-ﬁlm mi- croscopy, rapid diagnostic test, and polymerase chain reaction for accurate diagnosis of Plasmodium falciparum malaria.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection A comparison of thick-ﬁlm mi- croscopy, rapid diagnostic test, and polymerase chain reaction for accurate diagnosis of Plasmodium falciparum malaria

Reference 16

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Observation 3b819b4a-a98b-4c08-9d35-d6e1edb6fea7 · outbound

This paper cites Mentorship on mal aria microscopy diagnostic ser- vice in Ethiopia: baseline competency of microscopists and performance of health facilities.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Mentorship on mal aria microscopy diagnostic ser- vice in Ethiopia: baseline competency of microscopists and performance of health facilities

Reference 17

Resolution: verified exact; doi, observed 2026-08-10T22:55:27.111129Z

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Observation 90dda2c0-7bac-4e04-bf26-a60ad53ffd14 · outbound

This paper cites Pre-trained convolutional neu- ral networks as feature extractors toward improved malaria parasite detection in thin blood smear images.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Pre-trained convolutional neu- ral networks as feature extractors toward improved malaria parasite detection in thin blood smear images

Reference 18

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Observation f97b0bbc-457b-4caa-a395-03283bbb77de · outbound

This paper cites Mobi le-A ware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Mobi le-A ware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears

Reference 20

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Observation 1ad6bd7b-d8b2-4edf-bd03-763a68325038 · outbound

This paper cites Real-Time Face Mask Detection Method Based on YOLOv3.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Real-Time Face Mask Detection Method Based on YOLOv3

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.054779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3c4d4c7-3006-4633-b882-d6f10802c87c · outbound

This paper cites Deep learning appr oach to detect malaria from microscopic images.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Deep learning appr oach to detect malaria from microscopic images

Reference 22

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.105652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9ae5847c-73c3-4a86-9be3-2fcbcd038b9c · outbound

This paper cites Real-time Malaria Pa rasite Screening in Thick Blood Smears for Low-Resource Setting.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Real-time Malaria Pa rasite Screening in Thick Blood Smears for Low-Resource Setting

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.297273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ab82ae6-51a8-4350-b5dd-a64a3f90ef5e · outbound

This paper cites Malaria parasite detection in thick blood smear microscopic images using modiﬁed YOLOV3 a nd YOLOV4 models.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Malaria parasite detection in thick blood smear microscopic images using modiﬁed YOLOV3 a nd YOLOV4 models

Reference 24

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.017818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d126fe0-b4ca-4be9-9430-72167fc60562 · outbound

This paper cites Automatic identiﬁcation of malaria and other red b lood cell inclusions us- ing convolutional neural networks.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Automatic identiﬁcation of malaria and other red b lood cell inclusions us- ing convolutional neural networks

Reference 25

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Observation 63a63ca6-c813-40e6-857d-4a5c48399186 · outbound

This paper cites Diving Deep into Deep Learning:History, Evol ution, Types and Applica- tions.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Diving Deep into Deep Learning:History, Evol ution, Types and Applica- tions

Reference 26

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 382986d4-8994-4dac-8401-3961ffe4faa0 · outbound

This paper cites Content Based Im- age Retrieval Approaches for Detection of Malarial Parasit e in Blood Images.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Content Based Im- age Retrieval Approaches for Detection of Malarial Parasit e in Blood Images

Reference 27

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d672ebf-7a80-4527-b8bb-2b468e5d3bb9 · outbound

This paper cites A deep learning approach to the screening of malaria infect ion: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection A deep learning approach to the screening of malaria infect ion: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN

Reference 28

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Observation b8f42063-c367-48d1-9521-fc5a628b98a9 · outbound

This paper cites Expert-level auto mated malaria diagnosis on routine blood ﬁlms with deep neural networks.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Expert-level auto mated malaria diagnosis on routine blood ﬁlms with deep neural networks

Reference 29

Resolution: verified exact; doi, observed 2026-08-10T22:55:27.075520Z

Source-reported events for the cited work

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Observation 77abfd53-9c48-489c-8ef2-4f7a6ef3ef89 · outbound

This paper cites A new approach for microscopic diagnosis of malaria parasite s in thick blood smears using pre-trained deep learning models.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection A new approach for microscopic diagnosis of malaria parasite s in thick blood smears using pre-trained deep learning models

Reference 30

Resolution: verified exact; doi, observed 2026-08-10T22:55:26.210171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e16d3dc-e8c1-4830-a52c-9daff4349e3c · outbound

This paper cites Malaria Pa rasite Detection From Pe- ripheral Blood Smear Images Using Deep Belief Networks.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Malaria Pa rasite Detection From Pe- ripheral Blood Smear Images Using Deep Belief Networks

Reference 31

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:55:26.515437Z

Source-reported events for the cited work

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Observation 6b98f764-bd87-491e-88bd-44de9b7b69ef · outbound

This paper cites A Review of Y olo Algorithm Developments.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection A Review of Y olo Algorithm Developments

Reference 32

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Observation bfbd33e3-0c41-4c31-afc8-9cc93e0a28a4 · outbound

This paper cites Recent Advances in Convolutional Neural Networks.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Recent Advances in Convolutional Neural Networks

Reference 33

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This paper cites An ensemble-based approach for automated medical diagnosis of malaria using EfﬁcientNet.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection An ensemble-based approach for automated medical diagnosis of malaria using EfﬁcientNet

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T22:55:25.965723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7571f56b-d27a-4535-a5b5-d246d9c53812 · outbound

This paper cites Smartphone- supported malaria diagnosis based on deep learning.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Smartphone- supported malaria diagnosis based on deep learning

Reference 35

Resolution: verified exact; doi, observed 2026-08-10T22:55:25.942266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83165e17-6fc4-4677-a72e-4c460efae0d8 · outbound

This paper cites an unresolved cited work.

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection Unresolved cited work

Reference 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.