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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 7 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 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:22:29.719224Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:56:19.543915Z

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

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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

Outbound references

Observation cf903fc2-3f34-4041-be0d-c70c3dd741b9 · outbound

This paper cites an unresolved cited work.

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

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:22:29.822485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:22:29.714022Z digest=sha256:a074b4ba55b90ae901aafc4e54ab906952ef4597cb66c8eb2e17ec3b6f3507ed

Observation fd61a170-c627-4d74-90a0-71ebb75b4f29 · outbound

This paper cites ∑(𝑦#−𝑦$&)%.

Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model ∑(𝑦#−𝑦$&)%

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T18:22:29.811873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:22:29.719224Z digest=sha256:7c8578f9cd6ac086f874b6281276cb2d3b5e53a4a3921a8f2d3bcdd25942ee2a

Pith citing papers

Observation 9fcb65ef-a325-415e-9ffa-6eb9b9608c22 · inbound

Trajectory Map-Matching in Urban Road Networks Based on RSS Measurements cites this paper.

Trajectory Map-Matching in Urban Road Networks Based on RSS Measurements Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T15:56:19.543915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:56:19.543915Z digest=sha256:dd4e56587e750bf4d158cfb34d209af6fd147de45bbad0d1d8d27e392419d0ce

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.

source=pdf_text observed=2026-08-07T13:51:12.914236Z digest=sha256:d96d5fcd9ee498cffc6bdeeeaa5ac3928dd23b03da7a0b39192b601cf6ea0dbf

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.

source=pdf_text observed=2026-08-07T10:16:55.612475Z digest=sha256:e18b5729bb9c6f18c25c9b162e0bdb80df1d4189ff0b34333eb4e95f4c091c28

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.

source=pdf_text observed=2026-08-07T12:04:54.712871Z digest=sha256:7287cf6960fff5acbc2464ce4ef8135ee6530f6d1f3b913cf44831f6867b1b2f

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.

source=pdf_text observed=2026-08-07T04:13:29.256127Z digest=sha256:8f86e983fa59f94f1e06e98743aa13da498e1cd6f866e8328c39cd3931e8da67

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.

source=pdf_text observed=2026-08-06T23:34:15.253156Z digest=sha256:a6384bf96d2e17bd1e66c85432b41b0ac6842bd69730a8b37744f5711cd17e66

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:11:40.893982Z digest=sha256:5a690ec36b784b23ccf7bdd9673260935771bff6de775906e293691507c85646