Paper Citation Record · LEDGER

An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.02211.

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

pith.paper-citation-record.v1
2412.02211 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:05:02.109885Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T21:44:20.420362Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 00184f4f-c900-483a-a3ed-5d5aa1c9499d · inbound

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

Accurate Medical Named Entity Recognition Through Specialized NLP Models An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:02.109885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41645374-c522-46f9-b2c4-63937f67d4c9 · 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 An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:31.030693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc0e983-26b5-417c-8934-0a91da081bb1 · 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 An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:14.620040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e54c311d-f24b-4d45-9774-7d8be4e674c2 · inbound

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

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T05:40:19.787105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d345ab3f-9398-4968-ac1b-b6559926fccf · 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 An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T04:50:46.901299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08225f2-6c1d-4a96-a5bf-32c59ee5002d · 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 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 8ba3ceaa-bc0e-4e59-8dd1-ced6f4fc9ccd · 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 An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-08T21:44:20.425255Z

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 49628f68-ec01-4dc1-866c-78d823006aa4 · inbound

Feature Space Topology Control via Hopkins Loss cites this paper.

Feature Space Topology Control via Hopkins Loss An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T17:04:15.920968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.