Paper Citation Record · LEDGER

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.13685.

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

pith.paper-citation-record.v1
2507.13685 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:25:12.679860Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

43 of 43 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb032080-4a13-4555-b6e8-32c784199a02 · outbound

This paper cites Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:25:13.398707Z

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Observation 2e8643bc-67c3-4f9d-96cf-b30ef98ee3fb · outbound

This paper cites Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.267514Z

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Observation c677a6d4-9dcd-42f7-bc26-ee8f267c5336 · outbound

This paper cites Stabilizing machine learning models with Age-Period- Cohort inputs for scoring and stress testing.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Stabilizing machine learning models with Age-Period- Cohort inputs for scoring and stress testing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.249296Z

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Observation 7c5456ab-efe3-4177-9a9c-caba828b9615 · outbound

This paper cites Explainable prediction of loan default based on machine learning models.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Explainable prediction of loan default based on machine learning models

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T16:25:12.801744Z

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Observation e0f058d9-70c9-4494-8f7b-09388c5e5d13 · outbound

This paper cites A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection

Reference 5

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Observation ab1a3c69-a36e-4f20-a7ba-dba9a1d1434c · outbound

This paper cites Loan Default Prediction with Machine Learning Techniques.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Loan Default Prediction with Machine Learning Techniques

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.231533Z

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Observation 61c367f1-dd46-4a62-b599-ef6ff8c8d9dc · outbound

This paper cites Machine learning approach for credit score analysis : a case study of predicting mortgage loan defaults; 2019.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Machine learning approach for credit score analysis : a case study of predicting mortgage loan defaults; 2019

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.208873Z

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Observation 941e382c-1df5-4a15-aee6-4f9460a4d02e · outbound

This paper cites Loan Default Prediction Model Improve- ment through Comprehensive Preprocessing and Features Selection.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Loan Default Prediction Model Improve- ment through Comprehensive Preprocessing and Features Selection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.191043Z

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Observation 5f71a759-9b31-4bfc-aa74-f1277c9a018c · outbound

This paper cites An LSTM and GRU based trading strategy adapted to the Moroccan market.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction An LSTM and GRU based trading strategy adapted to the Moroccan market

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.158717Z

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Observation f456c5a6-e0e4-4aca-a6b0-a6382fe93086 · outbound

This paper cites Forecasting peer-to-peer platform default rate with LSTM neu- ral network.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Forecasting peer-to-peer platform default rate with LSTM neu- ral network

Reference 10

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Observation 60a5ce0f-ae32-4efc-82fd-1d2511e46988 · outbound

This paper cites Https://github.com/matmcreative/Lending- Club-Loan-Analysis/.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Https://github.com/matmcreative/Lending- Club-Loan-Analysis/

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.112991Z

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Observation 7167fe15-4631-403b-b7c6-889eaeb47053 · outbound

This paper cites Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:25:13.181225Z

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Observation 7bcbef77-da9a-46f5-9ac1-c3c628f2e293 · outbound

This paper cites Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.088419Z

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Observation e8025952-2d85-4e5a-895e-4c5cfc67ad89 · outbound

This paper cites GRU-Based Interpretable Multivariate Time Series Anomaly Detection in Industrial Control System.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction GRU-Based Interpretable Multivariate Time Series Anomaly Detection in Industrial Control System

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T16:25:12.782366Z

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Observation 9988c3dd-42c9-499e-845b-53bc63f3ced1 · outbound

This paper cites Network Log Anomaly Detection Based on GRU and SVDD.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Network Log Anomaly Detection Based on GRU and SVDD

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.058552Z

Source-reported events for the cited work

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Observation 72ed1ef7-588d-4067-8d39-4c419c298dac · outbound

This paper cites Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:14.033552Z

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Observation 3ee49c93-1591-4176-9bc0-b18b65fcc690 · outbound

This paper cites Credit Card Fraud Detection Model Based on LSTM Recurrent Neural Networks.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Credit Card Fraud Detection Model Based on LSTM Recurrent Neural Networks

Reference 17

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Observation 822682bb-9aa7-4bb2-b7c8-c78149e51fb2 · outbound

This paper cites Rural micro-credit model design and credit risk assessment via improved LSTM algorithm.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Rural micro-credit model design and credit risk assessment via improved LSTM algorithm

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.966493Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc609986-cd29-497d-b265-0416863df234 · outbound

This paper cites Internet Financial Credit Risk Assessment with Sliding Window and Attention Mechanism LSTM Model.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Internet Financial Credit Risk Assessment with Sliding Window and Attention Mechanism LSTM Model

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.934597Z

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Observation fa2bdfba-7ae7-4f62-b274-a04ba5656359 · outbound

This paper cites AT-LSTM: An Attention- based LSTM Model for Financial Time Series Prediction.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction AT-LSTM: An Attention- based LSTM Model for Financial Time Series Prediction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.915817Z

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Observation 1d31a12d-85b1-47d7-98b8-1756d7d798ac · outbound

This paper cites Enhanced credit card fraud detection based on attention mechanism and LSTM deep model.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Enhanced credit card fraud detection based on attention mechanism and LSTM deep model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.895203Z

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Observation b46886a5-ee0c-46f5-a9a8-a92ed4e9dc9a · outbound

This paper cites Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.874118Z

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Observation 9a21e592-efd1-4d94-bd44-de8828fd1ecb · outbound

This paper cites Https://www.kaggle.com/datasets/boltzmannbrain/nab.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Https://www.kaggle.com/datasets/boltzmannbrain/nab

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.857497Z

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Observation 6a2ae778-098c-4121-8cc5-d19a3eb54372 · outbound

This paper cites Are Transformers Effective for Time Series Forecasting? In: AAAI Conference on Artificial Intelligence; 2022.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Are Transformers Effective for Time Series Forecasting? In: AAAI Conference on Artificial Intelligence; 2022

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.830051Z

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Observation c2fcf455-957c-43e3-a277-b2f31d9b1f2a · outbound

This paper cites Time-series anomaly detection with stacked Trans- former representations and 1D convolutional network.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Time-series anomaly detection with stacked Trans- former representations and 1D convolutional network

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.800763Z

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Observation 41fc3258-d4d9-4f92-ad97-423cbb7ffd20 · outbound

This paper cites Time series prediction model using LSTM- Transformer neural network for mine water inflow.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Time series prediction model using LSTM- Transformer neural network for mine water inflow

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.776691Z

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Observation 881ddebf-c0ce-4c08-b198-28420cb4ece5 · outbound

This paper cites Application of BiLSTM-Transformer in Portfolio Optimiza- tion.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Application of BiLSTM-Transformer in Portfolio Optimiza- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.743543Z

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Observation c39a0eb5-5084-4302-b74e-6cf5e4f6ac95 · outbound

This paper cites A comprehensive study on the interplay between dataset characteristics and oversampling methods.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction A comprehensive study on the interplay between dataset characteristics and oversampling methods

Reference 28

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:25:13.064899Z

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Observation f39fe3c3-1d73-46b8-bee9-a53e64ac6ed6 · outbound

This paper cites KAN: Kolmogorov–Arnold Networks.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction KAN: Kolmogorov–Arnold Networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.716502Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cf8d561-5480-4216-bf73-69672d27eda2 · outbound

This paper cites KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks

Reference 30

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Observation 92651d6b-425f-48ea-b90b-cca0a0f5ffc0 · outbound

This paper cites Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability

Reference 31

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Observation 978e2266-d9bb-4582-ab05-3b50dc36e724 · outbound

This paper cites Available from: https://arxiv.org/abs/2405.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Available from: https://arxiv.org/abs/2405

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.686177Z

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Observation 3a9cdd68-3965-4b36-a897-8038f797bc7c · outbound

This paper cites C-KAN: A New Approach for Integrating Convolutional Layers with Kolmogorov–Arnold Networks for Time-Series Forecasting.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction C-KAN: A New Approach for Integrating Convolutional Layers with Kolmogorov–Arnold Networks for Time-Series Forecasting

Reference 33

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Observation 2663dd57-20b4-4680-b913-b91b170804a1 · outbound

This paper cites Kan: Kolmogorov-arnold networks.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Kan: Kolmogorov-arnold networks

Reference 34

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Observation 38c734a5-543d-4676-93ca-13d2401debb8 · outbound

This paper cites Https://freddiemac.embs.com.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Https://freddiemac.embs.com

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.636245Z

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Observation b858155d-a7a1-45f4-85bb-5fc9262bc288 · outbound

This paper cites Available from: http://www.bis.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Available from: http://www.bis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.608801Z

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Observation 13d412c5-6549-4f63-8506-31542c4e7877 · outbound

This paper cites Feature engineering for machine learning and data analytics.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Feature engineering for machine learning and data analytics

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.581775Z

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Observation 9644d00e-a964-4306-85b8-fd1ce661a379 · outbound

This paper cites Detection of fraudulent credit card trans- actions: A comparative analysis of data sampling and classification techniques.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Detection of fraudulent credit card trans- actions: A comparative analysis of data sampling and classification techniques

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.540721Z

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Observation 859c998a-bb6a-45c5-a29c-7c5a0c6bde2d · outbound

This paper cites ADASYN: Adaptive synthetic sampling approach for imbalanced learning.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction ADASYN: Adaptive synthetic sampling approach for imbalanced learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.502196Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88f8c173-3145-4dfe-8ead-7dd9248bbbaa · outbound

This paper cites A New Oversampling Method Based on the Classification Contribution Degree.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction A New Oversampling Method Based on the Classification Contribution Degree

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.468013Z

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Observation a529eb76-0f15-4208-b24d-ec4ec8865dbc · outbound

This paper cites Anomaly Detection in Medical Time Series with Generative Adversarial Networks: A Selective Review.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction Anomaly Detection in Medical Time Series with Generative Adversarial Networks: A Selective Review

Reference 41

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This paper cites A Review of Anomaly Detection Techniques and Applications in Financial Fraud.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction A Review of Anomaly Detection Techniques and Applications in Financial Fraud

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:12.673905Z

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Observation a2aad910-bb6d-43b0-aa93-bc260f58a3e5 · outbound

This paper cites OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:25:13.429203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.