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The article provides a byte-by-byte analysis of PostgreSQL's VACUUM process at the page level, using pageinspect to show how dead tuple space is reclaimed.
This paper introduces sinhala-ocr-lk-acts-1010, the first publicly available real-world page-level dataset for Sinhala OCR, and fine-tunes three vision language models (DeepSeek-OCR V1, DeepSeek-OCR V2, LightOnOCR-2-1B) using QLoRA. LightOnOCR-2-1B achieves a CER of 1.05%, outperforming both open-source and commercial OCR models, and maintains consistent performance across degraded documents from different time periods.