JSON++: The Symbolic Substrate for Active Data
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A proposal for JSON++, a grammar-extensible substrate for active data, bridging the gap between static serialization and dynamic processing.
A proposal for JSON++, a grammar-extensible substrate for active data, bridging the gap between static serialization and dynamic processing.
Prototype application specification for DAG-based patch analysis tool that auto-regresses Git commits into semantic operation graphs
A machine-consumable patch format using directed acyclic graphs to represent code changes as semantic operations rather than line-based diffs.
date: 2025-07-06 title: βMamba-Based Neural Knowledge Graph Integration: A Research Proposalβ layout: post date: 2025-01-07 last_modified: 2025-01...
A comprehensive mathematical framework exploring quantum computational architectures using dynamic graph substrates, introducing novel complexity classes and algorithmic approaches.
Novel method for modeling probability distributions using volumetric density trees with quadratic polynomial constraints, addressing complex geometric boundaries in 2-4D spaces.
Novel tree-based data structure integrating optimal coding theory with permutation algebra for entropy-adaptive string processing.
Novel extension to decision tree methodology that models joint probability distributions using cross-entropy optimization between prior and posterior distributions.