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This research aims to enhance the efficiency and structural integrity of neural systems through a new architecture called ANT v4.4.

July 30, 2026Open Access

ANT v4.4: Angular-Norm Transport, Constitutional Verified Digestion, and Immune Colony Computation [CPU-First]

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This research aims to enhance the efficiency and structural integrity of neural systems through a new architecture called ANT v4.4.
Performed two controlled experiment families across 60 seeds to test the ANT architecture.
Focused on detecting bottlenecks in causal graphs using cut-only and convergence-only scanners.
Evaluated Queen governance versus Brother-Guardian optimization in proposal acceptance and utility metrics.
Full planted recall achieved with a deterministic route-mass bracket reducing median audits from 32 to 20.
Limited Brother-Guardian optimization yielded median sealed utility of 36.945 and 0.981 acceptance rate for good proposals.
Overprotective Guardian model rejected 25% of proposals, indicating potential autoimmune issues.

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Randomized trial evaluates model transformation and immunity in neural systems, indicating framework efficiency.

Artiom Kovnatsky (2026) studied this question.

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