Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T17:50:48.962137Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.17507.
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, observed 2026-08-01T17:50:48.962137Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Unresolved cited work
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Unresolved cited work
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Current Climate Change Reports , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Neural Computation , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Science , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Accurate Medium-Range Global Weather Forecasting with
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting 2024 , eprint=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Transactions on Machine Learning Research , year=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the 41st International Conference on Machine Learning (ICML) , series=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the 41st International Conference on Machine Learning (ICML) , series=
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Observation 96ab3654-2c4a-4e4c-9d38-0fb004c733e8 · outbound
Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting The Emergence of Numerical Weather Prediction:
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Nature , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Nature Climate Change , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Unresolved cited work
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting International Journal of Forecasting , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting and Carpov, Dmitri and Chapados, Nicolas and Bengio, Yoshua , booktitle=
Reference 30
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the 37th International Conference on Machine Learning (ICML) , series=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting TimeGPT-1
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Unresolved cited work
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of Advances in Neural Information Processing Systems (NeurIPS) , year=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the International Conference on Learning Representations (ICLR) , year=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the International Conference on Learning Representations (ICLR) , year=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting TimesNet: Temporal 2
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Unresolved cited work
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Proceedings of the International Conference on Learning Representations (ICLR) , year=
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Unresolved cited work
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Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting Science , volume=
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No inbound Pith citation observations are available.