The Program Hypergraph extends binary program semantic graphs to arbitrary-arity hyperedges to faithfully represent multi-way relations in geometric algebra and spatial architectures.
MLIR-AIE: An MLIR-based toolchain for AMD AI engines, 2024
2 Pith papers cite this work. Polarity classification is still indexing.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper claims that composing the Dimensional Type System, Program Hypergraph, and b-posit 2026 standard yields depth-independent training memory at ~2x inference, grade-preserving updates, Bayesian distillation for domain adaptation, and warm rotation for uninterrupted deployment.
citing papers explorer
-
The Program Hypergraph: Multi-Way Relational Structure for Geometric Algebra, Spatial Compute, and Physics-Aware Compilation
The Program Hypergraph extends binary program semantic graphs to arbitrary-arity hyperedges to faithfully represent multi-way relations in geometric algebra and spatial architectures.
-
Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
The paper claims that composing the Dimensional Type System, Program Hypergraph, and b-posit 2026 standard yields depth-independent training memory at ~2x inference, grade-preserving updates, Bayesian distillation for domain adaptation, and warm rotation for uninterrupted deployment.