Paper Citation Record · LEDGER

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 9 inbound Pith citation observations for arXiv:2411.18622.

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

pith.paper-citation-record.v1
2411.18622 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:03:15.208166Z

measured 39 of 39 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:26:40.053179Z

Reference resolution

30 of 30 outbound references displayed

verified exact2
verified fuzzy8
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfe078d0-118a-4464-aad7-d423f0013c50 · outbound

This paper cites Leveraging Semi-Supervised Learning and Convolutional Neural Networks for Enhanced Image Analysis in Healthcare Applications,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Leveraging Semi-Supervised Learning and Convolutional Neural Networks for Enhanced Image Analysis in Healthcare Applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.507665Z

Source-reported events for the cited work

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Observation f5f10f04-8b98-46d6-89f8-2d798e02627f · outbound

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

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Scaling-up Medical Vision-and- Language Representation Learning with Federated Learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.106211Z

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Observation 4d36f5f1-16ad-489c-b140-81b4f70585fd · outbound

This paper cites A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.491215Z

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 0175121a-1c4e-4937-8306-15def970ae72 · outbound

This paper cites Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.114022Z

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Observation 588218a5-8c67-473a-a389-5b3dda09716e · outbound

This paper cites Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.118440Z

Source-reported events for the cited work

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Observation 40e8828f-30cf-452e-93d0-71b39a5b44ba · outbound

This paper cites Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.123103Z

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Unavailable: canonical work link unavailable.

Observation 469a01b1-68d3-4443-b605-2313819d6f40 · outbound

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

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.127030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5130638-e3b8-4572-a627-7ccc9ae8b379 · outbound

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

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data A Self-training Framework for Automated Medical Report Generation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.130504Z

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Unavailable: canonical work link unavailable.

Observation 3b1bd0fd-68cd-46a8-b728-ba06b89e923d · outbound

This paper cites Financial Risk Analysis Using Integrated Data and Transformer-Based Deep Learning,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Financial Risk Analysis Using Integrated Data and Transformer-Based Deep Learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.474538Z

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 7dfb4ebb-d989-4e6a-9a66-d10099fe3365 · outbound

This paper cites Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:03:15.342216Z

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 b1494931-853b-423f-a1aa-1906f1b3ee0d · outbound

This paper cites Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:03:15.328165Z

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 17b31d93-2794-488a-a95e-c1b975d5f830 · outbound

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

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Survival prediction across diverse cancer types using neural networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.144392Z

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Observation 9fc0b68e-45b5-4b27-a426-282d2718fa59 · outbound

This paper cites A Hybrid CNN-LSTM Model for Enhancing Bond Default Risk Prediction,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data A Hybrid CNN-LSTM Model for Enhancing Bond Default Risk Prediction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.458337Z

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 82e3a2b9-5ed0-45d1-8d56-efe93da28bd2 · outbound

This paper cites Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.150970Z

Source-reported events for the cited work

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Observation 9563cbbb-370b-4c87-b26d-4f179d310e87 · outbound

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

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.154311Z

Source-reported events for the cited work

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Observation 9c4c6bab-c5bb-4fb0-aea5-0f27ddf53967 · outbound

This paper cites Robust Graph Neural Networks for Stability Analysis in Dynamic Networks.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Robust Graph Neural Networks for Stability Analysis in Dynamic Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.158203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2296e9fb-39c1-4205-a0c1-0243c2f43a91 · outbound

This paper cites Research on adverse drug reaction prediction model combining knowledge graph embedding and deep learning.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Research on adverse drug reaction prediction model combining knowledge graph embedding and deep learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.161627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887c7f6d-5753-4785-97a3-9afdf7a437ed · outbound

This paper cites A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.164929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c126ff94-40d5-48b3-95ec-c51510d08f0e · outbound

This paper cites Enhancing Recommendation Systems with Multi-Modal Transformers in Cross-Domain Scenarios,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Enhancing Recommendation Systems with Multi-Modal Transformers in Cross-Domain Scenarios,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.168560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f659be-e1ff-4cfc-ba7b-4759e939c8cb · outbound

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

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.172070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a9bcbc-02f9-4ac3-af39-d206e67dc586 · outbound

This paper cites Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.175462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c18c367-36bc-4641-891d-eab4ae5d0ffd · outbound

This paper cites Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.179059Z

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Unavailable: canonical work link unavailable.

Observation 4d3dcb51-f482-4bdb-a649-56b73a37e27f · outbound

This paper cites Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 23

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Observation c6aca1cb-cb24-4e4d-8222-a04df1990354 · outbound

This paper cites Time-Series Load Prediction for Cloud Resource Allocation Using Recurrent Neural Networks,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Time-Series Load Prediction for Cloud Resource Allocation Using Recurrent Neural Networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.428405Z

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 72150987-293c-4862-ad79-0d30c059de21 · outbound

This paper cites Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.189528Z

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Observation cc7ed307-e22d-46d7-879e-eeb7e18b3aaa · outbound

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

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T11:03:15.193222Z

Source-reported events for the cited work

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Observation aa78419f-ee7e-4ce9-bfdd-6ac01d16f828 · outbound

This paper cites Research on Intelligent System of Medical Image Recognition and Disease Diagnosis Based on Big Data,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Research on Intelligent System of Medical Image Recognition and Disease Diagnosis Based on Big Data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.417123Z

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 1adc920f-fa0a-42ee-a2e3-1acbb8f85963 · outbound

This paper cites Comparison of Tree-Based Feature Selection Algorithms on Biological Omics Dataset,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Comparison of Tree-Based Feature Selection Algorithms on Biological Omics Dataset,

Reference 28

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Source-reported events for the cited work

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Observation f1dee367-a0ce-4acd-b1c8-de2327380ed8 · outbound

This paper cites Performance Comparison of Multi-layer Perceptron (Back Propagation, Delta Rule and Perceptron) algorithms in Neural Networks,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Performance Comparison of Multi-layer Perceptron (Back Propagation, Delta Rule and Perceptron) algorithms in Neural Networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.399922Z

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 8ffa721e-6c5f-4cbe-967b-7f844c995064 · outbound

This paper cites Classification of Mango Leaf Diseases Using XGBoost Method and HoG Feature Extraction,.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Classification of Mango Leaf Diseases Using XGBoost Method and HoG Feature Extraction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:03:15.389556Z

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 c7a4cd5e-0249-459c-b955-279400bd2185 · inbound

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders cites this paper.

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 13

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Unavailable: canonical work link unavailable.

Observation dd6c1c4c-3a73-4388-9615-25e0f64ce625 · inbound

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining cites this paper.

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 15

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Observation 1fc6f42d-22ef-4762-b6aa-78562a3149a7 · inbound

Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization cites this paper.

Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 12

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Observation e71263b7-5b49-4bbd-b4d6-91978a663552 · inbound

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments cites this paper.

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:40:19.740543Z

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Unavailable: canonical work link unavailable.

Observation 022b3b19-84de-46b7-b196-b26fb21b4455 · inbound

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt cites this paper.

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 14

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Observation 37aaf06c-c4bd-4e6b-ae79-815b11623c52 · inbound

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer cites this paper.

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:50:46.909587Z

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Observation b5b00f41-c46e-41bd-ae1d-035dafbd8b1a · inbound

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets cites this paper.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.511499Z

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Unavailable: canonical work link unavailable.

Observation 45b15cfd-f9c2-48a2-8eff-62cc7e24160b · inbound

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data cites this paper.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:26:40.059396Z

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 ed9e0c88-e253-4738-a7dd-f6d2cb27762d · inbound

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP cites this paper.

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.