AI RESEARCH
Metriplector: From Field Theory to Neural Architecture
arXiv CS.AI
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ArXi:2603.29496v1 Announce Type: new We present Metriplector, a neural architecture primitive in which the input configures an abstract physical system--fields, sources, and operators--and the dynamics of that system is the computation. Multiple fields evolve via coupled metriplectic dynamics, and the stress-energy tensor T^{{\mu}{\nu}}, derived from Noether's theorem, provides the readout.