Paper Citation Record · LEDGER

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2412.19420.

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

pith.paper-citation-record.v1
2412.19420 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:39:35.568317Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:57:30.313371Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T16:19:18.720719Z

Reference resolution

25 of 25 outbound references displayed

verified exact2
verified fuzzy10
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69dc9dcb-5a26-4062-b8ae-4601f1da5765 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Dynamic Risk Control and Asset Allocation Using Q-Learning in Financial Markets

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.392566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99d7ecbc-3bd7-4923-b3b8-0b4fab0c19f7 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:39:36.062295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0631f532-8d41-4566-b1b3-b42e19a3d068 · outbound

This paper cites Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.405830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84224822-e140-4e6e-9e38-9bc3805b3c69 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Comparison of Tree-Based Feature Selection Algorithms on Biological Omics Dataset,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.413585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba7aa23-bc8f-49ff-b9c5-8d3ef1f887e0 · outbound

This paper cites Probabilistic Support Prediction: Fast frequent itemset mining in dense data,.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Probabilistic Support Prediction: Fast frequent itemset mining in dense data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.355665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27b3922b-0071-4dad-9cc1-e35232acba8e · outbound

This paper cites Data Heterogeneity's Impact on the Performance of Frequent Itemset Mining Algorithms,.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Data Heterogeneity's Impact on the Performance of Frequent Itemset Mining Algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.326775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea2c9ae8-84a1-4979-8cc2-7998b017cfc8 · outbound

This paper cites Secure Two-Party Frequent Itemset Mining with Guaranteeing Differential Privacy,.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Secure Two-Party Frequent Itemset Mining with Guaranteeing Differential Privacy,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.303235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9dc8a286-ba9e-48d8-a695-c87778dcf296 · outbound

This paper cites Optimization of frequent itemset mining parallelization algorithm based on spark platform,.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Optimization of frequent itemset mining parallelization algorithm based on spark platform,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.267071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7e62a591-12fe-4ee4-8813-e3942905327c · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.462006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728f9c3f-627c-43a9-9d61-290fbb2495d1 · outbound

This paper cites Calibration Learning for Few-shot Novel Product Description,.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Calibration Learning for Few-shot Novel Product Description,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.469292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b0bcf1-dd42-44a0-b139-ab6bc6b914d9 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.476565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c4cdf8-9bee-4602-9848-decdab8ebf66 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.483572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d96a41d-8ce4-4f59-861f-1765a46bb8e7 · outbound

This paper cites Stock Type Prediction Model Based on Hierarchical Graph Neural Network.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Stock Type Prediction Model Based on Hierarchical Graph Neural Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.491963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b7bf51-a852-4162-83e7-64b8bb6360cf · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.499130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08225f2-6c1d-4a96-a5bf-32c59ee5002d · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.504950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f298d99f-1a9b-4d6a-a141-15a2386e2f62 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Self-Supervised Credit Scoring with Masked Autoencoders: Addressing Data Gaps and Noise Robustly,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.212993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 717bd985-2a73-47b0-b487-1f800df7c4b9 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.183398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64556f6e-1148-41f3-84a7-d4a2db550347 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.531977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be00fb9f-d4c7-4821-a4ba-033bc2fa26ae · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.538864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ba4ada-4ac6-4d01-be08-53337ea864f5 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Multi-Source Data-Driven LSTM Framework for Enhanced Stock Price Prediction and Volatility Analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.157145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3447239-ddc9-40ee-9eb4-4b2ddb81ccb8 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T00:39:35.550447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d46598-cfcd-4a99-80fa-3c364cefd242 · outbound

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.119232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 68813e7e-3de3-4b1a-9c3f-ae3374d79bc4 · outbound

This paper cites Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:39:35.648515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d052795-50a5-4a93-a79f-b7411fe0b727 · outbound

This paper cites New spark solutions for distributed frequent itemset and association rule mining algorithms,.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets New spark solutions for distributed frequent itemset and association rule mining algorithms,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:39:36.091342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 88a83fde-d0fa-4298-8296-a475f84a7c22 · inbound

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer cites this paper.

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:30.313371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2590dbea-fc8b-42b7-9406-065bd20e7ecd · inbound

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models cites this paper.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.110839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d1a750-0460-42eb-b7ae-a936708cc833 · inbound

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

Multi-Scale Transformer Architecture for Accurate Medical Image Classification A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:19:18.724208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.