Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14963.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:09.741040Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:04:56.144336Z
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 f1e20d26-c40b-43d9-8dc0-86f361886555 · inbound
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs cites this paper.
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:32:31.055591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 182c956a-afd8-45f1-8411-ef73d55ead10 · inbound
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion cites this paper.
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:51:09.741040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6cd9d08-3975-46e3-a4b8-dd8c7db6f9f1 · inbound
Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models cites this paper.
Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:04:56.197680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.