  Like Life, Lenia CA support a range of patterns that move, interact with
their environment, and/or are modified by said interactions. These patterns
maintain a cohesive, self-organizing morphology, i.e. they exemplify
autopoiesis, the self-organization principle of a network of components and
processes maintaining themselves. Recent work implementing Asymptotic Lenia as
a reaction-diffusion system reported that non-Platonic behavior in standard
Lenia may depend on the clipping function, and that ALenia gliders are likely
not subject to non-Platonic instability. In this work I show an example of a
glider in ALenia that depends on a certain simulation coarseness for
autopoietic competence: when simulated with too fine spatial or temporal
resolution the glider no longer maintains its morphology or dynamics. I also
show that instability maps of the asymptotic Lenia glider, and others in
different CA framworks, show fractal retention of fine boundary detail down to
the limit of floating point precision.
