Author

Jyotiranjan Beuria

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Preprint Sep 2026

Beyond density snapshots: Dynamical memory in Chern-Simons reservoirs

How a reservoir encodes input history jointly in density and geometric degrees of freedom remains insufficiently understood. We address this mechanistic gap with a continuous density on an internal manifold coupled to an independently evolving Chern-Simons (CS) connection through a conserved current. On the same intern...

Jyotiranjan Beuria, Venkatesh H. Chembrolu · 0 citations

#artificial intelligence Preprint Sep 2026

Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation

We investigate whether a Chern-Simons (CS) context reservoir is a viable computational substrate and whether evolving its gauge connection provides a benefit beyond simpler mechanisms. The reservoir state is a density fluctuation on a two-dimensional context manifold, whose drift is generated by a density-sourced conne...

Jyotiranjan Beuria, Venkatesh H. Chembrolu · 0 citations

Jul 2026

Self-Healing Coordination in Cognitive Swarm Agents with Bloch-Type Perceptual Memory

Results show that the main functional impact is on self-healing: after obstacle-induced fragmentation, the closed slow-fast loop accelerates restoration of spatial connectedness, whereas an uncoupled slow trace behaves like a memoryless controller.

Jyotiranjan Beuria · arXiv.org · 0 citations

Preprint Jul 2026

Lindblad-Inspired Multi-Timescale Reservoir Computing with Separable Rotation and Dissipation

A classical Lindblad-inspired multi-timescale reservoir is introduced that bridges open-system dynamical principles with structured state-space modeling and offers an interpretable recurrent architecture in which mixing, memory, and stability are explicit and independently tunable design variables.

Jyotiranjan Beuria, Amit K. Shukla · 1 citation