3D Difficulty Manifolds
Navigate reasoning landscapes as interactive 3D terrain. Explore how model performance varies across multiple difficulty dimensions simultaneously.
Token-Frequency Analysis
Apply FFT to tokenized reasoning problems, revealing spectral signatures and validating difficulty parameters through frequency domain analysis.
Multiple Cognitive Domains
Evaluate across arithmetic, temporal reasoning, sequential tracking, and pattern recognition. Comprehensive assessment of diverse reasoning capabilities.
Parametric Test Generation
Generate infinite unique test instances within controlled difficulty manifolds. Eliminate contamination through randomized evaluation.
Statistical Rigor
Excess accuracy correction, truncation handling, and dynamic confidence intervals ensure meaningful model and task comparisons.
Progressive Evaluation
Hierarchical C2/C2-mini system enables rapid model exploration (2-3 hours) before scaling to publication-quality precision (12-36 hours).
ReasonScape: Information Processing Evaluation for Large Language Models
ReasonScape introduces a next-generation evaluation methodology that treats language models as analyzable information processing systems. Through parametric test generation, spectral analysis, and interactive visualization, ReasonScape reveals cognitive architecture patterns invisible to traditional benchmarks.