Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.14327.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:57:30.323360Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T22:44:13.663115Z
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 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
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:57:30.323360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:55:04.128683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:42:49.720439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:44:20.301743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified exact
- 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 2026-08-10T06:31:04.303077+00:00.