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

arXiv:2609.25498 · cs.NE, cs.AI, cs.CL · Submitted 2026-09-21 · Read on arXiv

cs.NE, cs.AI, cs.CL

Submitted: 2026-09-21

Updated: 2026-09-24

Comments: 10 pages, 5 figures, 3 tables. Companion to Mandelbrot Fractal Neural Synthesis. Live portal: https://answerr.me; Source code: https://github.com/pCwOrM/werr

DOI: 10.5281/zenodo.22867426

Code: https://github.com/pCwOrM/werr

Project page: https://pcworm.github.io/werracle

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 19× in this paper · explained in 1 episode
• Ablation — 10× in this paper · explained in 1 episode
• Benchmark — 10× in this paper · explained in 2 episodes
• Core — 7× in this paper · explained in 2 episodes
• Calibration — 6× in this paper · explained in 7 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Pruning — 3× in this paper · explained in 4 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Positional Bias — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• ARK — 1× in this paper · explained in 1 episode
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Aperture — 1× in this paper · explained in 1 episode
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• English Out-Of-Domain — 1× in this paper
• Ethereum Virtual Machine — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Energy and Policy Considerations for Deep Learning in NLP
• Ignore Previous Prompt: Attack Techniques For Language Models
• Llama 2: Open Foundation and Fine-Tuned Chat Models

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