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Paper Citation Record · LEDGER

Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2409.14327.

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

pith.paper-citation-record.v1
2409.14327 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:55:20.910721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:44:13.663115Z

Reference resolution

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Outbound references

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Pith citing papers

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

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

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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no resolver link, observed 2026-08-12T17:53:45.978020Z

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Observation c605ffed-beb3-47ec-8ec8-0361341a9e2c · inbound

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation cites this paper.

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 19

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Observation 067dcd06-e3e5-4130-809e-e3ffc6533b70 · inbound

Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction cites this paper.

Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 19

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Observation 30bfe961-1119-49fb-aeff-5da1431d6911 · inbound

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

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 16

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source=pdf_text observed=2026-08-12T17:23:20.667659Z digest=sha256:65199b94d453332429502f0bb55a14024165c3a389fdb95bca17bd25415cd2dd

Observation 718f1a51-fbaa-48f9-b31c-6a4ee854c8cc · inbound

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

Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 17

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source=pdf_text observed=2026-08-12T14:10:42.405605Z digest=sha256:4eae358402752b76a772ab7b22216ff3644ff77224375f201e0b869d731de2e3

Observation 4d3dcb51-f482-4bdb-a649-56b73a37e27f · 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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 23

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no resolver link, observed 2026-08-12T11:03:15.182412Z

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source=pdf_text observed=2026-08-12T11:03:15.182412Z digest=sha256:8e16f9bb2b412d332f1297f0393ccd3e016ad4e0a69fe6155527ce7e8bfcc99c

Observation f9cf7631-fd64-4b64-8ef8-1db0df988a53 · inbound

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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 8

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source=pdf_text observed=2026-08-11T23:46:09.664961Z digest=sha256:28eb6259f2bbd83def4331d078498e70cbbb102dfc6896e5624c3a792f8cc31c

Observation 0303a912-3453-4d2d-992e-d0fc6d7e6b31 · inbound

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

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 9

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Observation 2479ec47-3b2f-4ba1-a130-c2216c3350fc · inbound

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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 6

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Observation 7d10d71b-867b-441c-961e-13b65e435d5f · inbound

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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 24

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source=pdf_text observed=2026-08-11T19:54:34.589924Z digest=sha256:2fa7ff7919c63ccd89ffd7b4686e68951a9b69048cfa39021963a7c1adef9770

Observation e665fa72-11bf-4ae2-8026-14b082dc4a4e · inbound

Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems cites this paper.

Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 14

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Observation 19770c5e-ef63-444c-b3c9-8518fee37acd · inbound

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

Accurate Medical Named Entity Recognition Through Specialized NLP Models Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 4

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source=pdf_text observed=2026-08-11T18:05:02.115258Z digest=sha256:23ed784bed1970c3ae9d2e4b793880735eb338482e9ba5f7dc027956a3e7d87a

Observation da2ee4b5-f913-4744-b1e0-b4bcd11ccc68 · inbound

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision cites this paper.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 17

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Observation 8c76e122-5cb0-49e7-a9e8-4eeb9e333639 · inbound

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining cites this paper.

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 17

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Observation 677dc4ad-5351-4b21-92f7-3d5b2197106b · inbound

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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 18

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Observation 144a799a-e9c7-469b-8f44-2286edc940e2 · inbound

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

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 15

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source=pdf_text observed=2026-08-11T05:40:19.753974Z digest=sha256:fee0a6d79a8763d211953620e4839a21267768843c65d6a7af33bd777891abf5

Observation 76702881-ceee-44fa-8f13-826f02fb8574 · inbound

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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 2

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Observation 511019c7-c5f3-412d-8f06-0e4e4232e857 · inbound

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications cites this paper.

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 9

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Observation a03c312b-666a-4cdd-93e5-f0e3f55d2d27 · inbound

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer cites this paper.

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 26

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Observation 7a95eaec-4d8e-494e-ad4e-68bd9de5a2cc · inbound

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks cites this paper.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 18

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

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets cites this paper.

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

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source=pdf_text observed=2026-08-11T00:39:35.499130Z digest=sha256:1b57439b4116a9a7c12d76c0871581d1bf27c80d521e38a1289211433ccb1c84

Observation 2ed52fd3-f6e7-4bbd-bd2b-64d3196b296f · inbound

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models cites this paper.

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 8

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source=pdf_text observed=2026-08-11T00:37:46.386428Z digest=sha256:e8ddc09fcd7e564d8696e61db94eb1eb59a2bb8be1690c23e2d61e1e14a87c32

Observation d8e252cc-f82e-41ef-ad3c-97501098b2f5 · 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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 11

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source=pdf_text observed=2026-08-10T15:57:30.323360Z digest=sha256:9fb27a26aa9d7d3af65861c1b66e7607b5be04f45c539f268e2322b8870d0737

Observation 618b8673-81ec-4fd5-b02c-e0f5cde8e70e · 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 Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 17

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Observation 8d48c41b-288e-4e52-8c83-0f52599a69ed · inbound

Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data cites this paper.

Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 20

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source=pdf_text observed=2026-08-09T00:42:49.720439Z digest=sha256:127d74b7f04e506883c48b39a09ad8c1075956d0923b279533e40d4e03a1f791

Observation 748ef496-dc14-4404-abb8-ae18afdf8bd0 · inbound

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction cites this paper.

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 8

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Observation 94fbea64-6d2a-41ed-872c-6eb9ad1bf0e2 · inbound

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning cites this paper.

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 20

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local_arxiv, observed 2026-08-07T22:44:13.671603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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