Paper Citation Record · LEDGER

Detecting and Classifying Defective Products in Images Using YOLO

As of 11 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.16935.

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

pith.paper-citation-record.v1
2412.16935 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:51.793346Z

measured 39 of 39 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

39 of 39 outbound references displayed

verified exact6
verified fuzzy21
unresolved9
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7cb2156-a3f3-41a4-a922-2f507765ff08 · outbound

This paper cites Stock market analysis and prediction using LSTM: A case study on technology stocks.

Detecting and Classifying Defective Products in Images Using YOLO Stock market analysis and prediction using LSTM: A case study on technology stocks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.378753Z

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 1e25a8fb-4777-4260-88d0-13bcffa8509e · outbound

This paper cites Large Language Model (LLM) AI Text Generation Detection based on Transformer Deep Learning Algorithm.

Detecting and Classifying Defective Products in Images Using YOLO Large Language Model (LLM) AI Text Generation Detection based on Transformer Deep Learning Algorithm

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.368941Z

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 f181139a-54fe-40f2-a90f-5f4a78470758 · outbound

This paper cites Automated pneumonia detection in chest x-ray images using deep learning model.

Detecting and Classifying Defective Products in Images Using YOLO Automated pneumonia detection in chest x-ray images using deep learning model

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.358700Z

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 c1a09e39-13cd-47ca-ac4b-ae7133ceca43 · outbound

This paper cites Password complexity prediction based on roberta algorithm.

Detecting and Classifying Defective Products in Images Using YOLO Password complexity prediction based on roberta algorithm

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.348656Z

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 338ff816-9a74-4b9e-99ed-7de2d46fa054 · outbound

This paper cites A comprehensive evaluation and comparison of enhanced learning methods.

Detecting and Classifying Defective Products in Images Using YOLO A comprehensive evaluation and comparison of enhanced learning methods

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T06:00:52.338427Z

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 a2a8ada6-c1e2-4e99-b8c3-c4a1dc13b756 · outbound

This paper cites Spam detection and classification based on distilbert deep learning algorithm.

Detecting and Classifying Defective Products in Images Using YOLO Spam detection and classification based on distilbert deep learning algorithm

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.328552Z

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 22091b65-317b-4014-b64d-3ecee4b7ad27 · outbound

This paper cites Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks.

Detecting and Classifying Defective Products in Images Using YOLO Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.674004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e047ad81-8a9f-4170-be8b-5e439e0233a6 · outbound

This paper cites Comparative analysis of x-ray image classification of pneumonia based on deep learning algorithm algorithm.

Detecting and Classifying Defective Products in Images Using YOLO Comparative analysis of x-ray image classification of pneumonia based on deep learning algorithm algorithm

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.318099Z

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 ca329d80-9980-472f-ac70-3d899f2da0af · outbound

This paper cites A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model.

Detecting and Classifying Defective Products in Images Using YOLO A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.681334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b6b8bf-15b7-4e51-8787-5f4639b07115 · outbound

This paper cites Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment.

Detecting and Classifying Defective Products in Images Using YOLO Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.685012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c40e629-975a-4c7d-ba32-fd6719af1ec8 · outbound

This paper cites A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product.

Detecting and Classifying Defective Products in Images Using YOLO A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.688795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0b73be6-548d-4d55-89be-011add387b14 · outbound

This paper cites The cloud-based design of unmanned constant temperature food delivery trolley in the context of artificial intelligence.

Detecting and Classifying Defective Products in Images Using YOLO The cloud-based design of unmanned constant temperature food delivery trolley in the context of artificial intelligence

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.306614Z

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 cc6dad6e-f2c7-4057-82f9-222070489a7c · outbound

This paper cites Make Scale Invariant Feature Transform “Fly.

Detecting and Classifying Defective Products in Images Using YOLO Make Scale Invariant Feature Transform “Fly

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.296370Z

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 0aa56517-9deb-4a53-9a85-84966a5a802a · outbound

This paper cites Lidar and Monocular Sensor Fusion Depth Estimation.

Detecting and Classifying Defective Products in Images Using YOLO Lidar and Monocular Sensor Fusion Depth Estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.285893Z

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 c3219adc-ba43-4d44-ae12-2c0094a3e3fb · outbound

This paper cites Unraveling large language models: From evolution to ethical implications-introduction to large language models.

Detecting and Classifying Defective Products in Images Using YOLO Unraveling large language models: From evolution to ethical implications-introduction to large language models

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T06:00:52.274878Z

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 349897be-9682-47ec-b1cb-0ea00bb8bc9b · outbound

This paper cites an unresolved cited work.

Detecting and Classifying Defective Products in Images Using YOLO Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-11T06:00:51.838889Z

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 68b28c86-008f-4b67-b618-3f06353253af · outbound

This paper cites Research on Heterogeneous Computation Resource Allocation based on Data-driven Method.

Detecting and Classifying Defective Products in Images Using YOLO Research on Heterogeneous Computation Resource Allocation based on Data-driven Method

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-11T06:00:52.077910Z

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 53ba10f4-520a-4d3a-be79-162c1b8e14de · outbound

This paper cites Deep Learning Applications in the Medical Image Recognition.

Detecting and Classifying Defective Products in Images Using YOLO Deep Learning Applications in the Medical Image Recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.264868Z

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 8cc59dd6-d303-4654-b6d0-4665b0e6bc85 · outbound

This paper cites Going Blank Comfortably: Positioning Monocular Head-Worn Displays When They are Inactive.

Detecting and Classifying Defective Products in Images Using YOLO Going Blank Comfortably: Positioning Monocular Head-Worn Displays When They are Inactive

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.254862Z

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 c8a23d64-f23b-4109-8494-cfd86099409f · outbound

This paper cites Looking From a Different Angle: Placing Head-Worn Displays Near the Nose.

Detecting and Classifying Defective Products in Images Using YOLO Looking From a Different Angle: Placing Head-Worn Displays Near the Nose

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.244514Z

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 f8a13d3b-0088-4842-8155-282b654cad27 · outbound

This paper cites Twitter Sentiment analysis of covid vaccines[C]//2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR).

Detecting and Classifying Defective Products in Images Using YOLO Twitter Sentiment analysis of covid vaccines[C]//2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.233791Z

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 51d556bf-5234-4ae3-8073-10889fffc9b6 · outbound

This paper cites Artificial intelligence aspect of transportation analysis using large scale systems[C]//Proceedings of the 2023 6th Artificial Intelligence and Cloud Computing Conference.

Detecting and Classifying Defective Products in Images Using YOLO Artificial intelligence aspect of transportation analysis using large scale systems[C]//Proceedings of the 2023 6th Artificial Intelligence and Cloud Computing Conference

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.223214Z

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 b033791b-e459-4393-9e11-cc7a0c507265 · outbound

This paper cites an unresolved cited work.

Detecting and Classifying Defective Products in Images Using YOLO Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T06:00:52.212386Z

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 ab4f57d4-f6a7-4f84-93cd-1ae5dc3db3f5 · outbound

This paper cites an unresolved cited work.

Detecting and Classifying Defective Products in Images Using YOLO Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-11T06:00:51.826564Z

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 82e6225c-9966-4911-95fa-8a44cdf44882 · outbound

This paper cites Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model.

Detecting and Classifying Defective Products in Images Using YOLO Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.200775Z

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 d6e60381-515a-4fb8-b8de-b8f107d1e2ff · outbound

This paper cites Research on image generation optimization based deep learning.

Detecting and Classifying Defective Products in Images Using YOLO Research on image generation optimization based deep learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.189117Z

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 3ccecb54-a933-4d34-ad94-8ceb266506d3 · outbound

This paper cites The application of Augmented Reality (AR) in Remote Work and Education.

Detecting and Classifying Defective Products in Images Using YOLO The application of Augmented Reality (AR) in Remote Work and Education

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.749390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 418d47a8-b949-4937-a5c6-d666a795018c · outbound

This paper cites Utilizing Deep Learning to Optimize Software Development Processes.

Detecting and Classifying Defective Products in Images Using YOLO Utilizing Deep Learning to Optimize Software Development Processes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.753250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4ce04c-2fc4-45b5-afab-c47d7feb14dd · outbound

This paper cites DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment.

Detecting and Classifying Defective Products in Images Using YOLO DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.758126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc66d2b-7918-4de0-90be-bff82a3ea186 · outbound

This paper cites Robust Domain Generalization for Multi-modal Object Recognition.

Detecting and Classifying Defective Products in Images Using YOLO Robust Domain Generalization for Multi-modal Object Recognition

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-11T06:00:52.031769Z

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 0324f5f5-eaf5-4552-94e0-cb5e7514e54c · outbound

This paper cites Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning.

Detecting and Classifying Defective Products in Images Using YOLO Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:51.765637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be8e6a3-e044-47cf-92fa-78e99286b402 · outbound

This paper cites Research on adaptive algorithm recommendation system based on parallel data mining platform.

Detecting and Classifying Defective Products in Images Using YOLO Research on adaptive algorithm recommendation system based on parallel data mining platform

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.175895Z

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 0fdba977-7f27-43e8-9a06-674ce4e7a1b0 · outbound

This paper cites Research on Prediction Recommendation System Based on Improved Markov Model.

Detecting and Classifying Defective Products in Images Using YOLO Research on Prediction Recommendation System Based on Improved Markov Model

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.164777Z

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 229324e7-1f8f-4a84-bb70-f38de9b2c04e · outbound

This paper cites Advances in Computer, Signals and Systems (2024) Vol.

Detecting and Classifying Defective Products in Images Using YOLO Advances in Computer, Signals and Systems (2024) Vol

Reference 34

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T06:00:51.961034Z

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 b46dfb7a-e7b8-43bc-bd94-e0ccf72c7a34 · outbound

This paper cites Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning.

Detecting and Classifying Defective Products in Images Using YOLO Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-11T06:00:51.874366Z

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 a5ed90dc-1063-4562-945c-70548938d346 · outbound

This paper cites Nonlinear Energy Harvesting with Tools from Machine Learning.

Detecting and Classifying Defective Products in Images Using YOLO Nonlinear Energy Harvesting with Tools from Machine Learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.154113Z

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 3a943eee-96b3-4ecf-b784-16c249be0754 · outbound

This paper cites A model-free sampling method for basins of attraction using hybrid active learning (HAL).

Detecting and Classifying Defective Products in Images Using YOLO A model-free sampling method for basins of attraction using hybrid active learning (HAL)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.143376Z

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 c5df2885-2e0c-4565-b488-fba68bb83324 · outbound

This paper cites Constrained attractor selection using deep reinforcement learning.

Detecting and Classifying Defective Products in Images Using YOLO Constrained attractor selection using deep reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:00:52.131469Z

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 a38e3cdd-4805-4631-9e38-1c71fa671dd5 · outbound

This paper cites Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learning.

Detecting and Classifying Defective Products in Images Using YOLO Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-11T06:00:51.858348Z

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.

Pith citing papers

No inbound Pith citation observations are available.