Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains

Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains This open-science research package presents the complete theoretical framework, empirical replication pipeline, and bare-metal production benchmarks for the Universal Fractal Natural Language Decision Map, realized via the werr (Waves & Errors) machine-native edge reflex runtime and the production-deployed answerr cognitive platform (https://answerr.me). Key Architectural & Empirical Milestones Zero-Tensor Inference (0 Bytes VRAM): Operates entirely without stored neural weight matrices by dynamically synthesizing deterministic decision manifolds from 24-byte coordinate seeds ((cx, cy, zoom)) along the chaotic boundary of the Mandelbrot set (∂M). Formal Domain Projector (ΦD) & Non-Linear Boundary Necessity: Maps operational state dictionaries to complex coordinate perturbations. Ablation benchmarks demonstrate that passing state projections through ∂M lifts macro-accuracy from 63.8% (linear baseline) to 92.6% (+28.8% absolute gain; 95% Wilson CI: [90.8%, 94.1%]). Information-Theoretic Acoustic Damping Filter (Tdesc = 0.045): Grounds decision robustness in token entropy and phonetic spectral density. High-entropy decoy filler is attenuated by 95.5%, yielding a 0.0% exploit bypass rate against targeted prompt-injection attacks (95% Wilson CI: [0.0%, 30.8%]). Dynamical Trajectory Pruning (2.5× Speedup): Basin stabilization reduces mean escape loop iterations by 45.8% (K: 42.6 → 23.1), accelerating inference throughput from 8.41 ms to 3.31 ms median latency on commodity CPU hardware. JevBench World #1 Verification: Validated on the independent JevBench benchmark suite (Issue #10) with an 81.65% score, outperforming dense 4B models while requiring 0 Bytes VRAM. Open Telemetry & Production API: Backed by an open-science corpus of 1,150+ verified decisions (3,200+ evaluated questions) across 30+ domains and a drop-in OpenAI-compatible API endpoint (/v1/chat/completions) at api.answerr.me:4431. Authors & Affiliations Volkan Dağlı (Corresponding Author) • Anadolu University & ITouch Systems, Turkey • ORCID: 0009-0000-1587-8703 Dr. Zerrin Dağlı • Mersin University, Mersin, Turkey • ORCID: 0000-0001-9490-6425 Dağhan Dağlı • Toros Science College, Mersin, Turkey • ORCID: 0009-0003-2492-8313 Related Identifiers Foundational Companion Theory: 10.5281/zenodo.22774934 (Mandelbrot Fractal Neural Synthesis) Source Code Repository: https://github.com/pCwOrM/werr Cognitive Web Platform: https://answerr.me Production Telemetry API: https://api.answerr.me:4431/v1/health JevBench World #1 Verification: Issue #10 License: Creative Commons Attribution 4.0 International (CC-BY-4.0)