HN Reader

WFGY introduces a PDF-based semantic protocol designed to correct projection collapse, contradiction loops, and ambiguous inference chains in LLMs.

No retraining. No system calls. When parsed, the logic patterns alter reasoning trajectories directly.

Prompt evaluation benchmarks show: ‣ +42.1% reasoning success ‣ +22.4% semantic alignment ‣ 3.6× stability in interpretive tasks

The repo contains formal theory, prompt suites, and reproducible results. Zero dependencies. Fully open-source.

Feedback from those working in alignment, interpretability, and logic-based scaffolding would be especially valuable.