Adaptive theory graphs for scientific discovery
GLP transforms unstructured German and English scholarly literature into computable, queryable theory nets with an extensive library of metrics.
Engineering & Evaluation Pillars
A deterministic, reproducible pipeline backed by dual-store Neo4j persistence, Langfuse tracing, and rigorous epistemic evaluation algorithms.
Deterministic Flexible Pipeline
Orchestrates Data Foundation, Entity Discovery, Relation Extraction, Maturation, and Alignment Fusion with atomic checkpointing and invalidation graphs.
View Pipeline Workflow →Epistemetrics Evaluation Suite
Standalone quantitative evaluation suite computing Schurz's unification, LPG-ECHO coherence, Lakatosian progressive shifts, and structural elegance.
Discover Epistemetrics →GLP Studio Workbench
FastAPI + React/TS run-oriented workbench for exploring theory graphs, inspecting identity diffs, and triaging extracted candidate triples.
Architecture Decisions (ADRs)
Comprehensive register of 18+ Architectural Decision Records detailing dual-memory graphs, async Neo4j stores, and constrained decoding strategies.
Read Architecture Register →Citation & Academic Reference
If you utilize Grund GLP, Epistemetrics, or GLP Studio in scholarly research, please cite the project specification:
@article{maoem2026grundglp,
title={Grund GLP: A Synergized Bidirectional Reasoning Engine for Scientific Theory Graphs},
author={Maoem},
year={2026},
url={https://github.com/maoem/network-construct}
}