Paper Citation Record · LEDGER

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

As of 14 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2412.20345.

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

pith.paper-citation-record.v1
2412.20345 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:26:39.950691Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:40:57.939767Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T16:19:18.677673Z

Reference resolution

28 of 28 outbound references displayed

verified exact6
verified fuzzy15
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b508065-58a7-4a3b-987f-e1c99677952a · outbound

This paper cites A hybrid convolutional neural network model to detect COVID -19 and pneumonia using chest X -ray images,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data A hybrid convolutional neural network model to detect COVID -19 and pneumonia using chest X -ray images,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.443948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 725a9741-a9a6-47fd-a03e-54ae9be6104b · outbound

This paper cites A deep learning model for early prediction of pneumonia using VGG19 and neural networks,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data A deep learning model for early prediction of pneumonia using VGG19 and neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.428327Z

Source-reported events for the cited work

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Observation ef6fd8d0-e9f2-42bd-816e-d182c157abaa · outbound

This paper cites Pneumonia classification using deep learning VGG19 model,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Pneumonia classification using deep learning VGG19 model,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.407414Z

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Observation 4191ab43-87de-487c-9e19-e979ab1fae09 · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Accurate Medical Named Entity Recognition Through Specialized NLP Models

Reference 4

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Observation 87731096-b8cf-43c0-bd86-3af791d8e659 · outbound

This paper cites Artificial Intelligence- Driven Risk Assessment and Control in Financial Derivatives: Exploring Deep Learning and Ensemble Models.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Artificial Intelligence- Driven Risk Assessment and Control in Financial Derivatives: Exploring Deep Learning and Ensemble Models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.392353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f138ca8-dc92-4867-8be0-b356225de79b · outbound

This paper cites LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:39.832740Z

Source-reported events for the cited work

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Observation 8b9b9d2a-9259-4656-b78c-6ec6f0823d71 · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:26:40.144071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e157d387-c6be-41c3-8b4f-5dd55c3b5f52 · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:26:40.120866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9000fae8-a481-4e10-98e5-667e60ee59ec · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:26:40.095519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 107935c6-aced-4e35-b8f6-2ad10d9afeaf · outbound

This paper cites Self -Supervised Credit Scoring with Masked Autoencoders: Addressing Data Gaps and Noise Robustly.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Self -Supervised Credit Scoring with Masked Autoencoders: Addressing Data Gaps and Noise Robustly

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.376884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6af4fa8-19bc-4139-bee9-656fad11eefd · outbound

This paper cites Dynamic Risk Control and Asset Allocation Using Q -Learning in Financial Markets.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Dynamic Risk Control and Asset Allocation Using Q -Learning in Financial Markets

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.360443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 90dea022-fe37-4acf-9c25-827c986fe67d · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models

Reference 12

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Source-reported events for the cited work

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Observation b49547ec-feed-42b1-bc9c-49992b18322c · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Multi-Source Data-Driven LSTM Framework for Enhanced Stock Price Prediction and Volatility Analysis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.345068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 981d5bfc-af79-4e2e-ac03-a06f5ced7195 · outbound

This paper cites Fully Convolutional Neural Networks for High -Precision Medical Image Analysis,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Fully Convolutional Neural Networks for High -Precision Medical Image Analysis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.329686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca9f0c27-e732-44bc-b938-e83633411a77 · outbound

This paper cites Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.314043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aacc016f-a683-42aa-91d7-3b923daef62d · outbound

This paper cites Breast cancer image classification method based on deep transfer learning,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Breast cancer image classification method based on deep transfer learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.297146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd8d9395-26d1-4c94-a979-09a0064402ba · outbound

This paper cites Scaling -up medical vision -and- language representation learning with federated learning,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Scaling -up medical vision -and- language representation learning with federated learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:39.887154Z

Source-reported events for the cited work

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

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

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 2026-08-14T06:32:32.682623+00:00.

Observation 1e1a98d9-5db7-4de1-ad37-4b06629671db · outbound

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

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

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:26:40.036516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0070dc41-d319-4de7-af70-28b67a7bbb6a · outbound

This paper cites Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:39.904978Z

Source-reported events for the cited work

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Observation 0c8b6b00-db02-425f-8bb7-508bd3facad2 · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Survival prediction across diverse cancer types using neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:39.912437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e1612cd-1ab5-417c-b85f-f16b8cce91dd · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:26:39.998620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d72b720-d3d6-483d-bd57-e78883e13b10 · outbound

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

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Comparison of Tree -Based Feature Selection Algorithms on Biological Omics Dataset,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:39.923855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259b67a0-8a21-4214-a0ab-58f2568598ec · outbound

This paper cites Pneumonia detection using enhanced convolutional neural network model on chest X -ray images,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Pneumonia detection using enhanced convolutional neural network model on chest X -ray images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.253234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02828205-6369-4e9d-8195-ccf9ff7a4c88 · outbound

This paper cites Classification of pneumonia from chest X -ray images using support vector machine and convolutional neural network,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Classification of pneumonia from chest X -ray images using support vector machine and convolutional neural network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.237056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1596bd4c-c9b6-4e44-bac2-19d5ca6826c6 · outbound

This paper cites Pneumonia detection in chest X -ray images using an optimized ensemble with XGBoost classifier,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Pneumonia detection in chest X -ray images using an optimized ensemble with XGBoost classifier,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.221806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2dd619d8-7033-491a-8859-df0ed814e7d4 · outbound

This paper cites Enhanced pneumonia diagnosis using chest X- ray image features and multilayer perceptron and k -NN machine learning algorithms,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Enhanced pneumonia diagnosis using chest X- ray image features and multilayer perceptron and k -NN machine learning algorithms,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.206506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2b555a8-d3cd-49de-8993-906d3f7219b7 · outbound

This paper cites Classification of pneumonia based on X -ray images with ResNet -50 architecture,.

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data Classification of pneumonia based on X -ray images with ResNet -50 architecture,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:26:40.190330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation d6aa5ae3-b79c-429a-b2b7-e39760b46a18 · inbound

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation cites this paper.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T00:40:57.939767Z

Source-reported events for the cited work

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Observation 141ae286-eafa-4bb3-a8eb-880ba5b7bfba · inbound

Multi-Scale Transformer Architecture for Accurate Medical Image Classification cites this paper.

Multi-Scale Transformer Architecture for Accurate Medical Image Classification Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:19:18.683051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.