Paper Citation Record · LEDGER

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2508.12389.

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

pith.paper-citation-record.v1
2508.12389 v1

Coverage vector

measured 37 of 37 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 6e456d4e-1156-4345-9eb8-2f393e4a9fdb · outbound

This paper cites Springer- Verlag, 2008.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Springer- Verlag, 2008

Reference 1

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Observation 634c9ea0-9c8b-4888-94fe-2da843909396 · outbound

This paper cites TANG ET AL.: IPGPHORMER: INTERPRETABLE SURVIV AL ANAL YSIS11 Histopathology whole slide image analysis with heterogeneous graph representation learning.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana TANG ET AL.: IPGPHORMER: INTERPRETABLE SURVIV AL ANAL YSIS11 Histopathology whole slide image analysis with heterogeneous graph representation learning

Reference 2

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Observation b4ab9177-f862-4d89-8f9b-995e85d60260 · outbound

This paper cites Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.747993Z

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Observation 3e9a26ab-6ba2-44bd-9c51-e70e4fa81e14 · outbound

This paper cites Scaling vision transformers to gigapixel images via hierarchical self-supervised learning.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

Reference 4

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Observation 6ce683e5-f875-4a15-96d6-34538253a22d · outbound

This paper cites A new initiative on precision medicine.New England journal of medicine, 372(9):793–795, 2015.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana A new initiative on precision medicine.New England journal of medicine, 372(9):793–795, 2015

Reference 5

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Observation 99085727-6fd2-467e-9eed-04bd0b6fe82a · outbound

This paper cites Regression models and life-tables.Journal of the Royal Statistical Society: Series B (Methodological), 34(2):187–202, 1972.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Regression models and life-tables.Journal of the Royal Statistical Society: Series B (Methodological), 34(2):187–202, 1972

Reference 6

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Observation b5ec905f-a92a-4bf3-b1ba-4361350cb5c4 · outbound

This paper cites Cross-scale multi-instance learning for pathological image diagnosis.Medical image analysis, 94: 103124, 2024.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Cross-scale multi-instance learning for pathological image diagnosis.Medical image analysis, 94: 103124, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.719944Z

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Observation 05767e32-4517-4102-ab37-bac3b4c66681 · outbound

This paper cites Efficient and accu- rate frailty model approach for genome-wide survival association analysis in large-scale biobanks.Nature communications, 13(1):5437, 2022.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Efficient and accu- rate frailty model approach for genome-wide survival association analysis in large-scale biobanks.Nature communications, 13(1):5437, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.711358Z

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Observation 6b2d1ffb-bfc4-4696-b48c-e56641a816a4 · outbound

This paper cites Survival analysis—time-to-event data and censoring.Nat Methods, 19 (8):903, 2022.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Survival analysis—time-to-event data and censoring.Nat Methods, 19 (8):903, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.702851Z

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Observation def3cc8d-d632-4599-ba19-85b73da94e8e · outbound

This paper cites Pannuke: an open pan-cancer histology dataset for nuclei instance segmen- tation and classification.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Pannuke: an open pan-cancer histology dataset for nuclei instance segmen- tation and classification

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.695153Z

Source-reported events for the cited work

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Observation 6ec08d61-461b-4d9a-a055-e579290ddcbe · outbound

This paper cites Prediction of prognosis for prostatic ade- nocarcinoma by combined histological grading and clinical staging.The Journal of urology, 111(1):58–64, 1974.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Prediction of prognosis for prostatic ade- nocarcinoma by combined histological grading and clinical staging.The Journal of urology, 111(1):58–64, 1974

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.687581Z

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Observation 2de1ff84-5b21-4341-9967-23715853ccbd · outbound

This paper cites Hover-net: Simultaneous segmentation and classifi- cation of nuclei in multi-tissue histology images.Medical image analysis, 58:101563, 2019.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Hover-net: Simultaneous segmentation and classifi- cation of nuclei in multi-tissue histology images.Medical image analysis, 58:101563, 2019

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.680188Z

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Observation 2d8ddbe5-8b13-41d9-b150-8e8005a9b36b · outbound

This paper cites SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization

Reference 13

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Observation e0eebb87-8ac4-42bb-9793-e198e95f0869 · outbound

This paper cites Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.Statistics in medicine, 15(4):361–387, 1996.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.Statistics in medicine, 15(4):361–387, 1996

Reference 14

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This paper cites Hˆ 2-mil: exploring hierarchical representation with heterogeneous multiple instance learning for whole slide image analysis.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Hˆ 2-mil: exploring hierarchical representation with heterogeneous multiple instance learning for whole slide image analysis

Reference 15

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This paper cites Attention-based deep multiple instance learning.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Attention-based deep multiple instance learning

Reference 16

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This paper cites The single-cell pathology landscape of breast cancer.Nature, 578(7796):615– 620, 2020.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana The single-cell pathology landscape of breast cancer.Nature, 578(7796):615– 620, 2020

Reference 17

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Observation fa2df849-ed8e-4412-97dd-123b61e144ba · outbound

This paper cites Si-mil: Taming deep mil for self-interpretability in gigapixel histopathology.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Si-mil: Taming deep mil for self-interpretability in gigapixel histopathology

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.647577Z

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Observation 8207fd1e-d89e-4f5a-a3f5-63c3e15beb32 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Adam: A Method for Stochastic Optimization

Reference 19

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Observation 42da0e2b-9183-4c0a-924d-2a53d171be03 · outbound

This paper cites Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning.Nature Biomedical Engineering, pages 1–15, 2022.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning.Nature Biomedical Engineering, pages 1–15, 2022

Reference 20

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Observation 6ea15ab8-0fca-4640-8907-65f583a50b4d · outbound

This paper cites Dual-stream multiple instance learning net- work for whole slide image classification with self-supervised contrastive learning.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Dual-stream multiple instance learning net- work for whole slide image classification with self-supervised contrastive learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.631188Z

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Observation 4483e214-3d1a-4c3e-94d9-c414e3c20d6a · outbound

This paper cites Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.622966Z

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Observation 025294c2-b121-4371-8db1-3928080f74d4 · outbound

This paper cites Generative causal explanations for graph neu- ral networks.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Generative causal explanations for graph neu- ral networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.615298Z

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Observation 90223df2-90b1-4c78-834c-ac97788aa9fb · outbound

This paper cites Deep learning for survival analysis in breast cancer with whole slide image data.Bioinformatics, 38(14):3629–3637, 2022.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Deep learning for survival analysis in breast cancer with whole slide image data.Bioinformatics, 38(14):3629–3637, 2022

Reference 24

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Observation 24ee7b65-726e-4ab4-b681-488144fec3f9 · outbound

This paper cites Advmil: Adversarial multiple instance learning for the survival analysis on whole-slide images.Medical Image Analysis, 91:103020, 2024.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Advmil: Adversarial multiple instance learning for the survival analysis on whole-slide images.Medical Image Analysis, 91:103020, 2024

Reference 25

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Observation 4e843439-ba22-42e9-b2e1-bdab6e04723e · outbound

This paper cites Data-efficient and weakly supervised computational pathology on whole-slide images.Nature biomedical engineering, 5(6):555–570, 2021.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Data-efficient and weakly supervised computational pathology on whole-slide images.Nature biomedical engineering, 5(6):555–570, 2021

Reference 26

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Observation 798868a5-3183-4ecf-a3b4-da950dc25945 · outbound

This paper cites Evaluation of survival data and two new rank order statistics arising in its consideration.Cancer Chemother Rep, 50(3):163–170, 1966.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Evaluation of survival data and two new rank order statistics arising in its consideration.Cancer Chemother Rep, 50(3):163–170, 1966

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.586712Z

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Observation 179746e4-44a7-4b95-befa-f95b926eca73 · outbound

This paper cites GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation

Reference 28

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Observation e44f3fa7-ff99-453a-8516-83aa5d7f2dc0 · outbound

This paper cites Hierarchical graph representations in digital pathology.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Hierarchical graph representations in digital pathology

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.579152Z

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This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide im- age classification.Advances in neural information processing systems, 34:2136–2147, 2021.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Transmil: Transformer based correlated multiple instance learning for whole slide im- age classification.Advances in neural information processing systems, 34:2136–2147, 2021

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.571168Z

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This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 31

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This paper cites Graph Attention Networks.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Graph Attention Networks

Reference 32

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This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification.Medical image analysis, 81:102559, 2022.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Transformer-based unsupervised contrastive learning for histopathological image classification.Medical image analysis, 81:102559, 2022

Reference 33

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Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:30:32.547924Z

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This paper cites Survtrace: Transformers for survival analysis with com- peting events.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana Survtrace: Transformers for survival analysis with com- peting events

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.539974Z

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Observation c84aece4-c588-4d8c-8883-38c7c89325da · outbound

This paper cites The cancer genome atlas pan-cancer analysis project.Nature genetics, 45(10):1113–1120, 2013.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana The cancer genome atlas pan-cancer analysis project.Nature genetics, 45(10):1113–1120, 2013

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.530703Z

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Observation 90f92449-f76d-4a7e-9f56-c3565421502a · outbound

This paper cites A graph-transformer for whole slide image classi- fication.IEEE transactions on medical imaging, 41(11):3003–3015, 2022.

Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana A graph-transformer for whole slide image classi- fication.IEEE transactions on medical imaging, 41(11):3003–3015, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:30:32.520724Z

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Pith citing papers

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