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arXiv cs.LG
arXiv cs.LG
6/30/2026
On the Necessity of a Liquid Substrate for Mesh Intelligence

On the Necessity of a Liquid Substrate for Mesh Intelligence

Short summary

This paper proves mesh networks of autonomous agents require substrates with two mathematical properties: adaptive timescales (for changing latent states) and temporal gap-sensitivity (for asynchronous arrivals). Liquid networks satisfy both simultaneously. This is a fundamental constraint on distributed AI systems—binding every agent in a mesh.

  • •Mesh networks of sovereign agents require adaptive timescales and temporal gap-sensitivity in their substrates
  • •Liquid networks mathematically satisfy both constraints simultaneously
  • •This is a fundamental structural necessity for distributed AI, independent of scale

Generated with AI, which can make mistakes.

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