2 papers
cs.LG2026
Learning under Distributional Drift: Prequential Reproducibility as an Intrinsic Statistical Resource
Sofiya Zaichyk
Statistical learning under distributional drift remains poorly characterized, especially in closed-loop settings where learning alters the data-generating law. We introduce an intr…
cs.MA2026
Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems
Sofiya Zaichyk
We present Semantic Fusion (SF), a formal framework for decentralized semantic coordination in multi-agent systems. SF allows agents to operate over scoped views of shared memory,…