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Saurabh Deshpande

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#artificial intelligence Preprint Sep 2026

Event Signature Transfer: Model-Agnostic Forecast Scenario Construction from Historical Events

This work introduces Event Signature Transfer (EST), a training-free, model-agnostic operator that turns a completed past event into an explicit forecast scenario, preserving the forecast's linked structure and reducing to it exactly at zero strength.

K. Sridhar, Aaditya Jain, Murari Mandal et al. · 0 citations
Preprint Aug 2026

Semantics or Structure? Auditing Text Sensitivity in Multimodal Time-Series Forecasting

It is concluded that, on this benchmark and within this family of frozen-encoder architectures, text content is not the operative signal behind the reported gains and the perturbation protocol and evaluation harness are released as a reusable diagnostic toolkit.

K. Sridhar, Atharva Gupta, Nishant Pradhan et al. · 1 citation

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