Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Supervised Autoencoder MLP for Financial Time Series Forecasting
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.01866.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:04.042191Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T04:57:17.819053Z
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 83176c59-83b3-478b-937d-cfac7f1fbcb3 · inbound
Hybrid Models for Financial Forecasting: Combining Econometric, Machine Learning, and Deep Learning Models cites this paper.
Hybrid Models for Financial Forecasting: Combining Econometric, Machine Learning, and Deep Learning Models Supervised Autoencoder MLP for Financial Time Series Forecasting
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:16:04.042191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 435bc381-d390-417c-8f93-6c9d34856e6c · inbound
Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models cites this paper.
Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models Supervised Autoencoder MLP for Financial Time Series Forecasting
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:04:57.953549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48dfb5a9-a49e-4fbb-b052-5e02177f4192 · inbound
Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality cites this paper.
Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality Supervised Autoencoder MLP for Financial Time Series Forecasting
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:57:17.820424Z
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.