Paper Citation Record · LEDGER

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.14745.

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

pith.paper-citation-record.v1
2501.14745 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:55:48.099963Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

21 of 21 outbound references displayed

verified exact1
verified fuzzy3
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b8d300f-e964-4b26-a7a5-76c26e016ce9 · outbound

This paper cites Analyze the Impact of the Epidemic on New York Taxis by Machine Learning Algorithms and Recommendations for Optimal Prediction Algorithms,.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Analyze the Impact of the Epidemic on New York Taxis by Machine Learning Algorithms and Recommendations for Optimal Prediction Algorithms,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.025393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9e9e21-ee0d-4e08-a0d0-031cfc495369 · outbound

This paper cites Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training,.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:48.376990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d4bd34f-c122-4f86-a149-b8e425cfc338 · outbound

This paper cites Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.033668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0814f0-1c5d-4b7e-bc26-4266d1bc7172 · outbound

This paper cites Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.038092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5e24a2-4010-494e-977c-9f58233cd008 · outbound

This paper cites Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.042308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca53fb3-9c21-404b-b95e-d3b1ea050b18 · outbound

This paper cites Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.045850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9430a0c9-03fc-4feb-a6e5-e4f95a052266 · outbound

This paper cites Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.050080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3adda0-4a6c-4ae8-8bd1-c60228999303 · outbound

This paper cites Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.053807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ab674c-9037-4f95-bb88-18b28b6a01fa · outbound

This paper cites Multi-Source Data-Driven LSTM Framework for Enhanced Stock Price Prediction and Volatility Analysis.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Multi-Source Data-Driven LSTM Framework for Enhanced Stock Price Prediction and Volatility Analysis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:48.367214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6857e42b-385e-41d3-9e63-91a22fd7ba8f · outbound

This paper cites Survival prediction across diverse cancer types using neural networks.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Survival prediction across diverse cancer types using neural networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.061143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3861500b-6e8a-4166-874f-b9775ffdca90 · outbound

This paper cites A Hybrid Model for Predicting Missing Records in Data Using XGBoost,.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP A Hybrid Model for Predicting Missing Records in Data Using XGBoost,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:48.350623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d90670fc-28ef-4511-855e-4b6aae1fd668 · outbound

This paper cites Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.068257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cd01b25-ef0e-4bbc-b9d0-35b204107617 · outbound

This paper cites Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.072168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d090adbb-da58-48b9-89df-5a855e39da5b · outbound

This paper cites Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:55:48.171185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1461e512-50b8-4f7b-96e3-ce250f8250d9 · outbound

This paper cites Scaling-up Medical Vision-and- Language Representation Learning with Federated Learning,.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Scaling-up Medical Vision-and- Language Representation Learning with Federated Learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.079239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f5dd74-fee5-4960-8ce0-a8dad51b54ae · outbound

This paper cites A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.082422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edbea15d-556c-45c0-b9be-5cc6f3d50c44 · outbound

This paper cites A Self-training Framework for Automated Medical Report Generation,.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP A Self-training Framework for Automated Medical Report Generation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.085844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dcf3dab-25d2-4608-bd7d-389b5560eff2 · outbound

This paper cites Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.089091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db8858e1-85ec-410c-a81a-3f27fd064125 · outbound

This paper cites Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.092985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8fbc3a9-c732-40f6-a40f-bda002553c0b · outbound

This paper cites Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.096649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9e0c88-e253-4738-a7dd-f6d2cb27762d · outbound

This paper cites Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:48.099963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.