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Hare Krishna

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#machine learning Preprint Oct 2026

Forecasting Corpus-Sampling Disagreement in Masked Text Reconstruction

If a second text corpus were collected from the same population, how much would a predictor's outputs change? We study this question for masked-text reconstruction using a smoothed predictor built from nearby token-pair counts and evaluated over the full 50,257-token GPT-2 vocabulary. Treating each source document as o...

Hare Krishna · 0 citations
#artificial intelligence Preprint Sep 2026

When Recursive Models Finish Computing

The results distinguish nominal-budget failure from completed computation and identify a common dynamical signature of completion across two recurrent architectures.

Hare Krishna, Shubham Singh, Stephen Ebert et al. · 0 citations

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