Paper Citation Record · LEDGER

KACDP: A Highly Interpretable Credit Default Prediction Model

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2411.17783.

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

pith.paper-citation-record.v1
2411.17783 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:14:41.204180Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:09:48.291805Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:09:50.806293Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy30
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1af2c260-1774-4762-972d-582312bffa70 · outbound

This paper cites An explainable xgboost model improved by smote-enn technique for maize lodging detection based on multi-source unmanned aerial vehicle images.

KACDP: A Highly Interpretable Credit Default Prediction Model An explainable xgboost model improved by smote-enn technique for maize lodging detection based on multi-source unmanned aerial vehicle images

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.645264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d0649c32-2c81-4683-af88-562a93337c1b · outbound

This paper cites Bastos and Sara M.

KACDP: A Highly Interpretable Credit Default Prediction Model Bastos and Sara M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.632581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ee27acb6-3bb1-4698-ac40-116b25cace7e · outbound

This paper cites From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where.

KACDP: A Highly Interpretable Credit Default Prediction Model From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.621462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0962d085-e761-440f-88ac-d22e6043b090 · outbound

This paper cites Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects.

KACDP: A Highly Interpretable Credit Default Prediction Model Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.608966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ca03eb1-b98c-47c6-b135-ee5cc0a7cb08 · outbound

This paper cites Risk assessment in social lending via random forests.

KACDP: A Highly Interpretable Credit Default Prediction Model Risk assessment in social lending via random forests

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.596005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc338f2d-c643-4428-9bba-7d03ed1f3a99 · outbound

This paper cites Support vector machines for default prediction of SMEs based on technology credit.

KACDP: A Highly Interpretable Credit Default Prediction Model Support vector machines for default prediction of SMEs based on technology credit

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.582404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d3d205f-cf63-4c81-ac4b-5fa3a80b8700 · outbound

This paper cites Machine learning and credit ratings prediction in the age of fourth industrial revolution.

KACDP: A Highly Interpretable Credit Default Prediction Model Machine learning and credit ratings prediction in the age of fourth industrial revolution

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.571315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d31f7ab-a79d-46b6-8a7b-f2509f513a36 · outbound

This paper cites Financial system modeling using deep neural networks (dnns) for effective risk assessment and prediction.

KACDP: A Highly Interpretable Credit Default Prediction Model Financial system modeling using deep neural networks (dnns) for effective risk assessment and prediction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.558999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 84cd8943-3c1d-4121-ae5a-f9b80289490f · outbound

This paper cites E.T.-RNN: Applying Deep Learning to Credit Loan Applications.

KACDP: A Highly Interpretable Credit Default Prediction Model E.T.-RNN: Applying Deep Learning to Credit Loan Applications

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.546137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 384d976f-2da6-4bca-9424-906ebd930c58 · outbound

This paper cites GLocalX - From Local to Global Explanations of Black Box AI Models.

KACDP: A Highly Interpretable Credit Default Prediction Model GLocalX - From Local to Global Explanations of Black Box AI Models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.534032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00413309-fb7a-48c1-957e-69a5115a63cf · outbound

This paper cites Hou, and Max Tegmark.

KACDP: A Highly Interpretable Credit Default Prediction Model Hou, and Max Tegmark

Reference 11

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Source-reported events for the cited work

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Observation b5dd31f5-1327-4e4f-9f4b-ecd2ad49f802 · outbound

This paper cites Abdou, Shatarupa Mitra, John Fry, and Ahmed A.

KACDP: A Highly Interpretable Credit Default Prediction Model Abdou, Shatarupa Mitra, John Fry, and Ahmed A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.513068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ee49667-6d93-4818-9d8a-f0e876eddbe5 · outbound

This paper cites The debt rating for small enterprises based on probit regression.

KACDP: A Highly Interpretable Credit Default Prediction Model The debt rating for small enterprises based on probit regression

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.500503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0c3ff57f-5473-44a8-b96b-9f0b8922e78c · outbound

This paper cites Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks.

KACDP: A Highly Interpretable Credit Default Prediction Model Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.487919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ebd58951-0250-48cc-9544-24c1d813d6fa · outbound

This paper cites Mancisidor, Michael Kampffmeyer, Kjersti Aas, and Robert Jenssen.

KACDP: A Highly Interpretable Credit Default Prediction Model Mancisidor, Michael Kampffmeyer, Kjersti Aas, and Robert Jenssen

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.475704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c854d384-f9c5-4adc-93e0-6cd12b6cdf5b · outbound

This paper cites Support vector regression for loss given default modelling.

KACDP: A Highly Interpretable Credit Default Prediction Model Support vector regression for loss given default modelling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.464851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2d5bef57-7e26-40d0-bfbb-07781604666e · outbound

This paper cites Borrowers’ credit quality scoring model and applications, with default discriminant analysis based on the extreme learning machine.

KACDP: A Highly Interpretable Credit Default Prediction Model Borrowers’ credit quality scoring model and applications, with default discriminant analysis based on the extreme learning machine

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.453059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb9c42a6-0f1e-4893-b5a8-58e5b4732d09 · outbound

This paper cites Lim, Yingchi Qu, Xingzhi Li, and Du Ni.

KACDP: A Highly Interpretable Credit Default Prediction Model Lim, Yingchi Qu, Xingzhi Li, and Du Ni

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.440380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8b094ea-2c5b-416c-bb2d-034111990150 · outbound

This paper cites Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers.

KACDP: A Highly Interpretable Credit Default Prediction Model Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.425573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1e8f42ca-c38b-4546-b03d-8e9a8bda4519 · outbound

This paper cites an unresolved cited work.

KACDP: A Highly Interpretable Credit Default Prediction Model Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:14:41.413119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78c8fd63-b2b9-40f1-ac1b-652110b406d9 · outbound

This paper cites Efficient fraud detection using deep boosting decision trees.

KACDP: A Highly Interpretable Credit Default Prediction Model Efficient fraud detection using deep boosting decision trees

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.400038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9084ec79-b59f-456a-ac6b-26b8804c9ee7 · outbound

This paper cites Explainability of machine learning models for bankruptcy prediction.

KACDP: A Highly Interpretable Credit Default Prediction Model Explainability of machine learning models for bankruptcy prediction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.385122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 818e573d-b91f-459d-8c82-5d79c889421a · outbound

This paper cites Analyzing false positives in bankruptcy prediction with explainable ai.

KACDP: A Highly Interpretable Credit Default Prediction Model Analyzing false positives in bankruptcy prediction with explainable ai

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.373006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3cb65b73-dcff-4b0c-9165-fd6f0bd2c665 · outbound

This paper cites Kagnns: Kolmogorov-arnold networks meet graph learning, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model Kagnns: Kolmogorov-arnold networks meet graph learning, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T12:14:41.167575Z

Source-reported events for the cited work

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Observation e21ee01a-4137-47e0-afb1-0e09df5e412b · outbound

This paper cites Kolmogorov arnold informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on kolmogorov arnold networks, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model Kolmogorov arnold informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on kolmogorov arnold networks, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T12:14:41.171319Z

Source-reported events for the cited work

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Observation d8c500ff-a627-4100-8c5b-ba8d9885d5ea · outbound

This paper cites ikan: Global incremental learning with kan for human activity recognition across heterogeneous datasets, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model ikan: Global incremental learning with kan for human activity recognition across heterogeneous datasets, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.344391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b741da3d-1986-45e3-91d9-606fa9960a01 · outbound

This paper cites Endowing interpretability for neural cognitive diagnosis by efficient kolmogorov-arnold networks, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model Endowing interpretability for neural cognitive diagnosis by efficient kolmogorov-arnold networks, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.331687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a9337983-d2a9-4ba4-a6e0-f6e429705ff6 · outbound

This paper cites Kanop: A data-efficient option pricing model using kolmogorov-arnold networks, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model Kanop: A data-efficient option pricing model using kolmogorov-arnold networks, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.319455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72625059-b635-4b35-80da-144a523be16a · outbound

This paper cites Sckansformer: Fine-grained classification of bone marrow cells via kansformer backbone and hierarchical attention mechanisms, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model Sckansformer: Fine-grained classification of bone marrow cells via kansformer backbone and hierarchical attention mechanisms, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.306521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1ebb452c-f2d1-4d45-a803-bd98c2926229 · outbound

This paper cites Convolutional kolmogorov-arnold networks, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model Convolutional kolmogorov-arnold networks, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.292622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 59bd42ac-7c11-4b5e-a10a-0bdc52dd2d3e · outbound

This paper cites Personal credit default prediction fusion frame- work based on self-attention and cross-network algorithms.

KACDP: A Highly Interpretable Credit Default Prediction Model Personal credit default prediction fusion frame- work based on self-attention and cross-network algorithms

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.280492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0fbb951b-f60a-4c88-b459-9b90377e65ef · outbound

This paper cites A hybrid evolutionary under-sampling method for handling the class imbalance problem with overlap in credit classification.

KACDP: A Highly Interpretable Credit Default Prediction Model A hybrid evolutionary under-sampling method for handling the class imbalance problem with overlap in credit classification

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.267762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ce0e5374-1db5-4efb-b2f0-42749bc7a6ba · outbound

This paper cites Credit card fraud detection: A hybrid of pso and k-means clustering unsupervised approach.

KACDP: A Highly Interpretable Credit Default Prediction Model Credit card fraud detection: A hybrid of pso and k-means clustering unsupervised approach

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.255187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe496e7b-9e99-4de7-9c84-69d937d76d8a · outbound

This paper cites Kan 2.0: Kolmogorov-arnold networks meet science, 2024.

KACDP: A Highly Interpretable Credit Default Prediction Model Kan 2.0: Kolmogorov-arnold networks meet science, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:14:41.241098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 541dea18-afbf-4ad6-950f-15f9a74dee9d · inbound

Explainable Artificial Intelligence Credit Risk Assessment using Machine Learning cites this paper.

Explainable Artificial Intelligence Credit Risk Assessment using Machine Learning KACDP: A Highly Interpretable Credit Default Prediction Model

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:09:50.857501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.