Paper Citation Record · LEDGER

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 11 inbound Pith citation observations for arXiv:2411.12151.

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

pith.paper-citation-record.v1
2411.12151 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:53:46.087446Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:03:15.114022Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:26:40.029923Z

Reference resolution

31 of 31 outbound references displayed

verified exact3
verified fuzzy11
unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21bbc7e0-2c9d-4473-9d53-fe09ba5dba69 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis

Reference 1

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Observation 37de48c3-caf5-4550-955e-09ab2174f6d6 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 2

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Observation a2e3ad23-bf58-4f29-8c62-282c0c6af7e6 · outbound

This paper cites Efficient Few -Shot Classification Using Self - Supervised Learning and Class Factor Analysis,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Efficient Few -Shot Classification Using Self - Supervised Learning and Class Factor Analysis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:46.561559Z

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Observation 990f2a41-b75b-4d4a-8e2b-ebd98cc1c286 · outbound

This paper cites Visual Explanations of ResNet 101 for Blister Package Classification,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Visual Explanations of ResNet 101 for Blister Package Classification,

Reference 4

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Observation 502ea1a2-cf5b-4aab-9b13-77a819708394 · outbound

This paper cites Transformers in Opinion Mining: Addressing Semantic Complexity and Model Challenges in NLP,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Transformers in Opinion Mining: Addressing Semantic Complexity and Model Challenges in NLP,

Reference 5

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Observation 55b61800-0737-4b37-94fa-ed77c74908e4 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study

Reference 6

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Observation db6bd205-22c6-4f80-9f69-23d96ca7b691 · outbound

This paper cites Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems

Reference 7

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Observation a390d97e-d74d-43c6-bc9f-b0562dc805d6 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications

Reference 8

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Observation 32a85202-a66d-467f-9d86-915b4189cdb8 · outbound

This paper cites Graph Neural Networks in Financial Markets: Modeling Volatility and Assessing Value-at-Risk,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Graph Neural Networks in Financial Markets: Modeling Volatility and Assessing Value-at-Risk,

Reference 9

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Observation 9e4d4d91-40b4-43c5-8bbc-3a7656204d77 · outbound

This paper cites Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Management.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Management

Reference 10

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Observation 6ac17f44-058f-4e87-816e-8ef0528f6597 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis

Reference 11

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Observation e7942980-c96c-4fe5-83a0-0296e4cc8070 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment

Reference 12

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Observation 0ebdd785-a635-44cc-8d75-b126b5d9e02e · outbound

This paper cites Leveraging Deep Learning Techniques for Enhanced Analysis of Medical Textual Data,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Leveraging Deep Learning Techniques for Enhanced Analysis of Medical Textual Data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:46.520017Z

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Observation b2af2cb8-8286-4151-8479-476087e2fa1b · outbound

This paper cites Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits

Reference 14

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Observation f58c0a57-c655-4fe2-863b-49d09d5d65e4 · outbound

This paper cites A Systematic Study on the Privacy Protection Mechanism of Natural Language Processing in Medical Health Records,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification A Systematic Study on the Privacy Protection Mechanism of Natural Language Processing in Medical Health Records,

Reference 15

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Observation fda8e23b-81eb-420b-8508-cb5077e1d937 · outbound

This paper cites Automated Genre-Aware Article Scoring and Feedback Using Large Language Models.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Automated Genre-Aware Article Scoring and Feedback Using Large Language Models

Reference 16

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Observation 017e089c-47bb-4025-9eaa-1a9c9cfae281 · outbound

This paper cites Self -Supervised Contrastive Learning for Consistent Few -Shot Image Representations,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Self -Supervised Contrastive Learning for Consistent Few -Shot Image Representations,

Reference 17

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Observation 2d2904ad-74bc-40de-a063-e022dfabe760 · outbound

This paper cites Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation

Reference 18

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Observation f0e07d32-bcc4-4582-82fd-efd20d1522aa · outbound

This paper cites Medical Image Segmentation with Bilateral Spatial Attention and Transfer Learning,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Medical Image Segmentation with Bilateral Spatial Attention and Transfer Learning,

Reference 19

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Observation ad60040c-b4e6-4704-8226-ac7b756a1082 · outbound

This paper cites Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection

Reference 20

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Observation f8c46899-c148-4439-a6e5-003e3026b666 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 21

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Observation 50cc1b04-861f-412a-b162-5777c431641a · outbound

This paper cites Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm

Reference 22

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Observation 8907c7f8-7050-4903-b7a7-743c44dac35a · outbound

This paper cites Convolutional Neural Networks for Predictive Modeling of Lung Disease.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Convolutional Neural Networks for Predictive Modeling of Lung Disease

Reference 23

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Observation 89edb386-2eb3-445d-8e4e-07344cd28732 · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:46.472969Z

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Observation 012a4111-b4db-4549-adfd-2e73520ed0df · outbound

This paper cites Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation

Reference 25

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Observation 7f65853f-7a9a-48b2-90a9-fa8532cebe2b · outbound

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Research on adverse drug reaction prediction model combining knowledge graph embedding and deep learning,

Reference 26

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Observation 292bac8f-eff3-4d5e-ac2a-acab2af5bc5d · outbound

This paper cites Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm

Reference 27

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Observation 655f2610-7ae6-4678-bab1-81d9d662b4fb · outbound

This paper cites Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks,

Reference 28

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Observation 4d84721a-4e9d-4d9a-b05d-b9ab75d88df8 · outbound

This paper cites Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment

Reference 29

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

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Financial Risk Analysis Using Integrated Data and Transformer -Based Deep Learning,

Reference 30

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This paper cites Fully Self -Supervised Out -of-Domain Few -Shot Learning with Masked Autoencoders,.

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Fully Self -Supervised Out -of-Domain Few -Shot Learning with Masked Autoencoders,

Reference 31

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Pith citing papers

Observation 0175121a-1c4e-4937-8306-15def970ae72 · inbound

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

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

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An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction cites this paper.

An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

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

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

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

Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

Reference 16

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Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models cites this paper.

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

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Accurate Medical Named Entity Recognition Through Specialized NLP Models cites this paper.

Accurate Medical Named Entity Recognition Through Specialized NLP Models Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

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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 Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

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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 Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

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

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

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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 Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

Reference 13

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Observation 1e1a98d9-5db7-4de1-ad37-4b06629671db · 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 Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification

Reference 19

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