TRIGNUMENTALITY
The transcendental framework establishing the conditions under which AI outputs can become knowledge.
🏛️ The Three Pillars (Repositories)
Trignumentality is uniquely embodied across three distinct repositories, separating pure theory from engineering application and advanced infrastructure:
- Trignumentality (Foundation Layer): This repository. The original theoretical papers, doctrine, and the architectural principles.
- TRIGNUM-300M (Engineering Layer): The technical a priori for autonomous AI. A deterministic, zero-model logic validator.
- TRIGNUM Main (Infrastructure Layer): Applied enterprise architecture. Tensor RAG, Epistemic Authorization, and real-world deployment across domains.
⚛️ Quantum Phase Estimation (TQPE)
Located in the tqpe/ directory is the first integration of Trignumentality with quantum computing.
TQPE_Building_The_Bridge.pdf: The full research paper detailing the epistemic crisis in quantum verification and proposing the TQPE pipeline.tqpe.py: A fully runnable, zero-dependency Python implementation of the 5-phase TQPE pipeline. It runs simulated QPE on the exact ground states of the H2 and LiH molecules, validating circuits via the Subtractive Filter before execution, and evaluating epistemic confidence after.
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Try the Live Interactive Demo: TRIGNUM-TQPE-PipelineRead the full "BUILDING THE BRIDGE" paper in the tqpe/ folder.
📜 The Original Manuscript
trignumentality-paper-2026-02-23.md / .pdf: The foundation document outlining the 5 core principles of Trignumentality.
