Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.14963.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:21:06.357989Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:04:56.144336Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d3f76d7a-0a69-4b7f-96a5-080c1494889a · inbound
Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN) Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a83037e-b314-4e7b-a33b-d632be1317b9 · inbound
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1e20d26-c40b-43d9-8dc0-86f361886555 · inbound
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
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 Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
Reference 12
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 Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.