Document attention calibration floors (BAR/BSR/ablation impact)

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Retrain sparse checkpoint on the cleaned corpus (removes the punctuation bias artefact)

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Fix evaluation: re-measure token classification on the true held-out fold

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Replace with paper-clean model (punct-fixed dataset, focal loss)

GPT-2 GUS-Net model (causal attention)

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