mlsanityData to 7 Oct 2026

FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records

arXiv 2502.18218 ↗First posted 25 Feb 2025astro-ph.SR astro-ph.IM cs.AIcited by 2

Not on the map. Why?

Abstract (arXiv)

Stellar flare events are critical observational samples for astronomical research; however, recorded flare events remain limited. Stellar flare forecasting can provide additional flare event samples to support research efforts. Despite this potential, no specialized models for stellar flare forecasting have been proposed to date. In this paper, we present extensive experimental evidence demonstrating that both stellar physical properties and historical flare records are valuable inputs for flare forecasting tasks. We then introduce FLARE (Forecasting Light-curve-based Astronomical Records via features Ensemble), the first-of-its-kind large model specifically designed for stellar flare forecasting. FLARE integrates stellar physical properties and historical flare records through a novel Soft Prompt Module and Residual Record Fusion Module. Our experiments on the publicly available Kepler light curve dataset demonstrate that FLARE achieves superior performance compared to other methods across all evaluation metrics. Finally, we validate the forecast capability of our model through a comprehensive case study.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 32 of its 48 references that are in the map. First posted on arXiv 25 Feb 2025.

Builds on

32 of 48 references.

References · 32

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20 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2026Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspectioncited by 1
  2. 2025StellarF: A Physics-Informed LoRA Framework for Stellar Flare Forecasting with Historical & Statistical Datacited by 0