$FCAST forecasting
Counts every occurrence offorecasting in arXiv titles and abstracts.
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Daily arXiv hits
settled still being announced 7-day average
Where it's used · 30 days
Share of hits by each paper's main arXiv category, from 558 papers.
Latest papers
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OceanTensorCube and ST-MMT: A Multimodal Data and Transformer System for Seven-Day Forecasting of Pyropia Bleaching
…the evaluation protocol and the operational gate that withholds forecasts when inputs are stale. The forecasting service is operated at https://oceantensor.ai.kr.
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TamedFlow: Trajectory-Aware Distillation\\for Teacher-Assisted Diffusion Sampling
…makes each evaluation cheaper, while adaptive inference avoids selected teacher computation through reuse, forecasting, or speculative execution. Their combination, however, is brittle: directly applying the…
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Global probabilistic forecasting of air pollution
…the pollution breathed by nearly two hundred million people a day. Machine learning has transformed weather forecasting, but data-driven forecasts of air pollution still blur extremes and lose skill as the air…
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LEAPS: Long-context Evaluation of Adaptive Pattern Learning and State Tracking
…and State tracking), a collection of 12 novel datasets, spanning agentic workflows, behavioral modeling, and forecasting of market and world events. By construction, LEAPS is resistant to data contamination, extends to…
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Conflicting History in Foundation Model Return Forecasts
…but share recent returns and the conditional distribution of the next return. Across five foundation-model forecasting procedures and three simulated processes, each evaluated on 1,024 independent replications,…
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AirMPA: A Meteorology-to-Pollution Adapter for Global Air Quality Forecasting
Accurate real-time forecasting of atmospheric pollutants is essential for reducing exposure risks and improving public health.…
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From Trace to Fix: Residual Task State in Long-Horizon Agents
…surface errors. Fix formulates recovery as budgeted planning over admissible actions, incorporating outcome forecasting and explicit repair-reserve constraints to prevent premature budget exhaustion. To rigorously…
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Topological Compression of Prediction Market Belief States for Event Forecasting
…analysis$-$to understand the underlying structure of data. In this paper, we incorporate TDA and PH into forecasting models over a prediction market universe to determine whether the belief state of such markets…
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