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Paper Citation Record · LEDGER

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.13873.

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

pith.paper-citation-record.v1
2505.13873 v1

Coverage vector

measured 33 of 33 reference resolution

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measured 0 of 0 inbound itemization

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33 of 33 outbound references displayed

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Outbound references

Observation d327fc97-aef7-4dd1-b4f1-720066713a9a · outbound

This paper cites an unresolved cited work.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 1

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This paper cites an unresolved cited work.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 2

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This paper cites A Foundation Model for the Earth System.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model A Foundation Model for the Earth System

Reference 3

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 5

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 6

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 7

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This paper cites KARINA: An Efficient Deep Learning Model for Global Weather Forecast.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model KARINA: An Efficient Deep Learning Model for Global Weather Forecast

Reference 8

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 9

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This paper cites Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization

Reference 10

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 11

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 12

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This paper cites Girshick.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Girshick

Reference 13

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 14

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 15

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 16

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This paper cites AIFS -- ECMWF's data-driven forecasting system.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model AIFS -- ECMWF's data-driven forecasting system

Reference 17

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting

Reference 18

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This paper cites Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Karthik Kashinath, Jan Kautz, and Mike Pritchard.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Karthik Kashinath, Jan Kautz, and Mike Pritchard

Reference 19

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This paper cites ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction

Reference 20

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Gupta, and Aditya Grover

Reference 21

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This paper cites Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling

Reference 22

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Peebles and Saining Xie

Reference 23

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Courville

Reference 24

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This paper cites Scaling transformer neural networks for skillful and reliable medium-range weather forecasting.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Reference 25

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Prithvi WxC: Foundation Model for Weather and Climate

Reference 26

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Deep Learning and Foundation Models for Weather Prediction: A Survey

Reference 27

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 28

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 30

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Unresolved cited work

Reference 31

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Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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This paper cites Sci- ence 382, 6677 (2023), 1416–1421.

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model Sci- ence 382, 6677 (2023), 1416–1421

Reference 2023

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