Peer-reviewed preprints from Horos Labs, published under CC-BY 4.0. Each paper addresses a foundational question in the architecture of precursor-detection and autonomous cognitive systems.
Establishes a mathematical framework for detecting structural degradation precursors before failure thresholds are reached. Introduces the Precursor Detection Operator and validates the approach against conventional threshold-based monitoring across bridge, aerospace, and energy infrastructure domains.
Identifies and characterises transient quantum coherence windows in macroscopic engineered systems. Develops a detection methodology based on decoherence rate analysis, demonstrating that brief coherence events carry exploitable information about system state evolution.
Establishes seven impossibility theorems defining the fundamental physical limits of autonomous cognitive systems. Derives formal bounds on perception latency, decision throughput, and actuator precision, then shows how the V12K architecture achieves finite-error operation within these constraints.
Introduces the Box vs. Valve paradigm distinguishing isolation-based from interaction-based architectures. Develops the Interaction Density Field as a continuous formalism for quantifying environment integration, with applications spanning structural engineering, autonomous systems, and the V12K cognitive kernel.
All four papers are also available as a single combined Zenodo record (v2).
doi:10.5281/zenodo.19558282