Paper Citation Record · LEDGER

Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.07997.

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

pith.paper-citation-record.v1
2412.07997 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:12.914236Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e2fa6bf8-4263-47d1-ba75-c86cc2fa73c4 · 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 Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.914236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58f841a6-dfeb-464d-830a-f536703926fe · inbound

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks cites this paper.

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:16:55.612475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190c421e-2273-440d-af49-bcff1fa6683c · 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 Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:54.712871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9235001-28bd-4695-9ab9-44423696ce6b · inbound

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems cites this paper.

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:29.256127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76856b0b-1a63-4d27-a1c6-2f171dd26a34 · inbound

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems cites this paper.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:15.253156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 592e0534-53b5-4bdb-8a7c-c5ad4c497f60 · inbound

ASTRAFier: A Novel and Scalable Transformer-based Stellar Variability Classifier cites this paper.

ASTRAFier: A Novel and Scalable Transformer-based Stellar Variability Classifier Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:05:49.870868Z

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.