ARCHIVED EXAMPLE · NEUTRAL PROMPT
Value: correct
Script: preserved
Source record
sherif1313/Arabic-English-handwritten-OCR-v3|core|Arial Unicode|72|neutral|33|arabic
Model: Arabic-English-handwritten-OCR-v3. Core, Arabic-Indic, neutral prompt.
INDEPENDENT RESEARCH · ABU DHABI, UAE · 9 OCTOBER 2026
A number has a value and a written form. This controlled evaluation measures whether OCR preserves each one — and makes its evidence, corrections and limitations inspectable.
Research led by Syamjith NK, with disclosed AI assistance.
These three illustrative records come from archived model outputs. The input strings below are reconstructed displays: the original test images were not supplied. No new inference was run. These examples are not a representative sample or a model ranking.
ARCHIVED EXAMPLE · NEUTRAL PROMPT
Value: correct
Script: preserved
sherif1313/Arabic-English-handwritten-OCR-v3|core|Arial Unicode|72|neutral|33|arabic
Model: Arabic-English-handwritten-OCR-v3. Core, Arabic-Indic, neutral prompt.
ARCHIVED EXAMPLE · NEUTRAL PROMPT
Value: correct
Script: changed
sherif1313/Arabic-English-handwritten-OCR-v3|core|Arial Unicode|72|neutral|44|arabic
Model: Arabic-English-handwritten-OCR-v3. Core, Arabic-Indic, neutral prompt.
ARCHIVED EXAMPLE · NEUTRAL PROMPT
Value: incorrect
Script: changed
sherif1313/Arabic-English-handwritten-OCR-v3|core|Arial Unicode|72|neutral|95|arabic
Model: Arabic-English-handwritten-OCR-v3. Core, Arabic-Indic, neutral prompt.
Silent video with on-screen captions. Its examples and conclusions are also available as text on this page.
Joint success requires both numeric correctness and preservation of the input numeral script. Conditional script fidelity uses only outputs that emit decimal digits. A Unicode scoring correction changed 22 categories across the 7,000 archived trials.
The release includes unchanged raw records, the frozen protocol, corrected derived scores, analysis code, stored bootstrap draws, calibration diagnostics, a change history and a SHA-256 manifest. Analysis can be rerun without calling an OCR service.
Syamjith NK led and directed the research. Author-operated agents, Claude and ChatGPT (called Astra by the author) assisted with code, analysis and writing; Codex assisted the revision and release. Exact original tool versions and task allocation are unavailable.
Code: MIT. Non-software research materials: CC BY 4.0. Third-party rights remain with their holders. A public release is not peer review or conference acceptance.