From Observed Model Assets to Tiny Local Document Intelligence

A methods note showing how a Mercury observed-model archive can be turned into a teacher inventory for tiny local document-intelligence packs, with explicit OCR boundaries, privacy-safe layout ghosts, 50MB/100MB size gates, and app-side release gates.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-19
DOI
https://doi.org/10.5281/zenodo.20728654
Primary Topic
Privacy-Preserving Technologies in Data
Type
preprint
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preprint

From Observed Model Assets to Tiny Local Document Intelligence

Ho Yiing Chen
Zenodo (CERN European Organization for Nuclear Research)
Privacy-Preserving Technologies in Data
preprint

From Observed Model Assets to Tiny Local Document Intelligence

Ho Yiing Chen
preprint en

Abstract

A methods note showing how a Mercury observed-model archive can be turned into a teacher inventory for tiny local document-intelligence packs, with explicit OCR boundaries, privacy-safe layout ghosts, 50MB/100MB size gates, and app-side release gates.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Privacy-Preserving Technologies in Data
DOIOpen Access PDFOpenAlex
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From Observed Model Assets to Tiny Local Document Intelligence — Ho Yiing Chen · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS