Title: Adaptive Grid-Mapping and Hardware-Backed Rendering for Local-First Ledger Systems
Original Date: October 26, 2025
Revised Date: April 15, 2026
Author: Riomhoideas Engineering Team
Subject Area: Mobile Graphics, Data Sovereignty, E2EE Document Generation
This disclosure details a method for generating high-precision Portable Document Format (PDF) files directly on mobile devices using a deterministic grid-based coordinate system. By mapping UI "blocks" to a native Android Canvas and PdfDocument API within a hardware-backed Secure Enclave environment, this architecture eliminates the need for resource-intensive WebViews and ensures "Local-First" data sovereignty.
Mobile ERP applications traditionally rely on HTML-to-PDF conversion via hidden WebViews. This creates:
Memory Overhead: RAM-intensive components causing crashes on low-end hardware.
Privacy Risks: Temporary HTML serialization exposes plaintext data to the device's shared file system.
Inconsistency: CSS print styles vary across OS versions, breaking document "Conformity" (Irish CRA 2022).
Instead of flow-based HTML layout, the system treats the document as a Virtual Spatial Matrix (typically 50 columns by 70 rows).
The innovation lies in using identical quantization logic for both the Jetpack Compose Drag-and-Drop Editor and the Native Output Engine.
Snap-to-Grid: Touch input is quantized to the nearest valid grid cell.
Deterministic Scaling: The grid scales to any paper size (A4, Letter, Legal) by calculating dynamic cell dimensions (pageWidth / numCols) at the moment of render, avoiding text reflow errors.
The rendering engine is architected as a "Neutral Conduit." All encryption (AES-256 GCM) is performed End-to-End between the mobile hardware and the user's personal cloud storage (Google Drive).
Key Isolation: Master keys are generated within the device's Secure Keystore (StrongBox). The Developer never possesses, transmits, or has technical access to these keys.
This method utilizes a "Zero-Serialization" approach. Because data is drawn directly to the Canvas API from volatile memory, the system creates no intermediate plaintext files that could be harvested by automated LLM scrapers or third-party AI training bots.
By bypassing the web stack and utilizing a shared coordinate system, the SGM engine achieves high-performance document generation. This establishes Prior Art for grid-based native PDF rendering and hardware-linked data sovereignty, ensuring "Freedom to Operate" for the Site Ledger platform.