6 papers
On the Necessity of a Liquid Substrate for Mesh Intelligence
Hongwei Xu
A mesh of sovereign agents has no center: no shared clock, no shared model, and no coordinator to gather data or retrain. Its competence rests on each agent folding the projections…
Mesh Inference: A Formal Model of Collective Inference Without a Center
Hongwei Xu
We present a formal model of mesh inference: how a population of independent agents, each holding private state and exchanging only admitted, typed observations, derives a conclusi…
Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
Hongwei Xu
Teams of LLM agents increasingly collaborate on tasks spanning days or weeks: multi-day data-generation sprints where generator, reviewer, and auditor agents coordinate in real tim…
Symbolic-Vector Attention Fusion for Collective Intelligence
Hongwei Xu
When autonomous agents observe different domains of a shared environment, each signal they exchange mixes relevant and irrelevant dimensions. No existing mechanism lets the receive…
Compressive Toeplitz Covariance Estimation From Few-Bit Quantized Measurements With Applications to DOA Estimation
Hongwei Xu, Weichao Zheng, Zai Yang
This paper addresses the problem of estimating the Hermitian Toeplitz covariance matrix under practical hardware constraints of sparse observations and coarse quantization. Within…
Bit Efficient Toeplitz Covariance Estimation
Hongwei Xu, Zai Yang
This paper addresses the challenge of Toeplitz covariance matrix estimation from partial entries of random quantized samples. To balance trade-offs among the number of samples, the…