Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:53:14.403066Z
Paper Citation Record · LEDGER
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning
As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.10567.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
31 of 31 outbound references displayed
- verified exact1
- verified fuzzy29
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 751f3abd-730a-4001-b62b-9ab2a49713e2 · outbound
This paper cites Ai-driven stylization of 3d environments, 2024.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Ai-driven stylization of 3d environments, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.635769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ccd4d7a3-be7b-4fed-b737-536bb4ba1008 · outbound
This paper cites Graphical structural learning of rs-fmri data in heavy smokers.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Graphical structural learning of rs-fmri data in heavy smokers
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.629029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3c5687b1-0042-4ce5-94df-28e57f8f941d · outbound
This paper cites Pcm microcapsules applicable foam to improve the properties of thermal insulation and energy storage for cement-based material.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Pcm microcapsules applicable foam to improve the properties of thermal insulation and energy storage for cement-based material
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.622386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a03fb10-9d05-42f0-b72a-eec76d19c162 · outbound
This paper cites Green building material with superior thermal insulation and energy storage properties fabricated by paraffin and foam cement composite.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Green building material with superior thermal insulation and energy storage properties fabricated by paraffin and foam cement composite
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.615624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7a7b8515-16e8-44c8-9591-d663c2bfb5ce · outbound
This paper cites Artificial intelligence aspect of transportation analysis using large scale systems.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Artificial intelligence aspect of transportation analysis using large scale systems
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.608608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0b5e6a45-5215-45a2-b03c-8d69e065561e · outbound
This paper cites AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Way.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Way
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:53:14.342821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21a60191-3c0b-40dd-9690-f26a94008657 · outbound
This paper cites Learning from teaching regularization: Generalizable correlations should be easy to imitate.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Learning from teaching regularization: Generalizable correlations should be easy to imitate
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.601936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 57b50227-f0f4-4065-b014-9f6803db5de8 · outbound
This paper cites Tie memories to e- souvenirs: Personalized souvenirs with augmented reality for interactive learning in the museum.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Tie memories to e- souvenirs: Personalized souvenirs with augmented reality for interactive learning in the museum
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.594987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 007aca79-e674-400b-b93c-731695845a9d · outbound
This paper cites 6: Simultaneous tracking, tagging and mapping for augmented reality.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning 6: Simultaneous tracking, tagging and mapping for augmented reality
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.587972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c7a69c33-8094-407f-93b6-ab9f0c524885 · outbound
This paper cites Tie memories to e-souvenirs: Hybrid tangible ar souvenirs in the museum.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Tie memories to e-souvenirs: Hybrid tangible ar souvenirs in the museum
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.581135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 810cadd6-f8d6-42df-9ce5-b6ebe1d4f0dd · outbound
This paper cites Predicting 30-day hospital readmission in medicare patients: Insights from an lstm deep learning model.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Predicting 30-day hospital readmission in medicare patients: Insights from an lstm deep learning model
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.574088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 033f6fb7-0253-42b3-ba89-53458f5dcf1f · outbound
This paper cites A comparative study of machine learning approaches for diabetes risk prediction: Insights from shap and feature importance.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning A comparative study of machine learning approaches for diabetes risk prediction: Insights from shap and feature importance
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.567240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4b34f42-c050-49e4-a3bc-c3574fae4a0b · outbound
This paper cites Lingcn: Structural linearized graph convolutional network for homomorphically encrypted inference.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Lingcn: Structural linearized graph convolutional network for homomorphically encrypted inference
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.560342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d7a5a2c5-3680-41af-b2b5-0c345c88f48b · outbound
This paper cites Maxk-gnn: Extremely fast gpu kernel design for accelerating graph neural networks training.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Maxk-gnn: Extremely fast gpu kernel design for accelerating graph neural networks training
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.553420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation caaa6883-5c87-4a12-9478-b5c165fae7a5 · outbound
This paper cites A systematic review of publications assessing reliability and validity of the behavioral risk factor surveillance system (brfss), 2004–2011.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning A systematic review of publications assessing reliability and validity of the behavioral risk factor surveillance system (brfss), 2004–2011
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.546713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 35134c71-6fcd-4a46-b1cf-cc9ecabe6594 · outbound
This paper cites Harnessing XGBoost for robust biomarker selection of obsessive-compulsive disor- der (OCD) from adolescent brain cognitive development (ABCD) data.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Harnessing XGBoost for robust biomarker selection of obsessive-compulsive disor- der (OCD) from adolescent brain cognitive development (ABCD) data
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.539931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f08c95ca-d322-4fd9-86cb-3c4d5f4d8ffc · outbound
This paper cites A mixed- heuristic quantum-inspired simplified swarm optimization algorithm for scheduling of real-time tasks in the multiprocessor system.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning A mixed- heuristic quantum-inspired simplified swarm optimization algorithm for scheduling of real-time tasks in the multiprocessor system
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.533053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ba4863b-acca-4ca1-ae6d-a890f1f874c3 · outbound
This paper cites Research on prediction recommendation system based on improved markov model.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Research on prediction recommendation system based on improved markov model
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.526045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16fde95d-9ed6-4834-ae25-f80b0746b080 · outbound
This paper cites Accel- gcn: High-performance gpu accelerator design for graph convolution networks.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Accel- gcn: High-performance gpu accelerator design for graph convolution networks
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.519256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8ec1046f-e7ee-4d90-aac4-f54b3d878aa0 · outbound
This paper cites Influencing factors of housing price in new york-analysis: Based on excel multi-regression model.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Influencing factors of housing price in new york-analysis: Based on excel multi-regression model
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.512601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e3f501f-ddcd-49f9-970e-f164889cf815 · outbound
This paper cites Analysis of financial risk behavior prediction using deep learning and big data algorithms, 2024.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Analysis of financial risk behavior prediction using deep learning and big data algorithms, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.505564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d008ada4-d995-4c76-b8d7-d5f12a949beb · outbound
This paper cites Long-term trends in the distribution of ocean chlorophyll.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Long-term trends in the distribution of ocean chlorophyll
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.498534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 80f27cae-4800-4a82-b33d-c43bfbf7638c · outbound
This paper cites Comparative analysis of bayesian networks for breast cancer classifica- tion: Naive bayes vs.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Comparative analysis of bayesian networks for breast cancer classifica- tion: Naive bayes vs
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.491706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a15c2c31-3a40-420b-8179-b36e886dbdaf · outbound
This paper cites CU-Net: A U- Net Architecture for Efficient Brain-Tumor Segmentation on BraTS 2019 Dataset.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning CU-Net: A U- Net Architecture for Efficient Brain-Tumor Segmentation on BraTS 2019 Dataset
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.484618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 04b635e0-20c6-44fd-bc7d-ac5ce83c7d58 · outbound
This paper cites Optimization and application of cloud-based deep learning architecture for multi-source data prediction, 2024.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Optimization and application of cloud-based deep learning architecture for multi-source data prediction, 2024
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.477371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52350448-f754-43e4-861d-90d5d72e0d2c · outbound
This paper cites Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T15:53:14.426685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1da8a023-5ff6-4db2-bb76-6d0d461a40ca · outbound
This paper cites Deep learning solutions for pneumonia detection: Per- formance comparison of custom and transfer learning models.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Deep learning solutions for pneumonia detection: Per- formance comparison of custom and transfer learning models
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.469646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a656f43-76c5-42c8-a709-725ef859f86f · outbound
This paper cites Adapi: Facilitating dnn model adaptivity for efficient private inference in edge computing.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Adapi: Facilitating dnn model adaptivity for efficient private inference in edge computing
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.462410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e675009-2620-44d1-92c7-dea8c77aceb8 · outbound
This paper cites Optimizing distributed networking with big data scheduling and cloud computing.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Optimizing distributed networking with big data scheduling and cloud computing
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.455226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0db7e79-3758-47d6-a288-cb01e1673988 · outbound
This paper cites Twitter sentiment analysis of covid vaccines.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Twitter sentiment analysis of covid vaccines
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.448119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 648167c1-b94d-4b80-b47c-e183a30d9581 · outbound
This paper cites Demonstration of chromocloth: Re-programmable multi-color textures through flexible and portable light source.
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning Demonstration of chromocloth: Re-programmable multi-color textures through flexible and portable light source
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:53:14.440607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.