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The aim is to explore the Angular-Norm Transport (ANT) architecture for transforming data into verified executable knowledge.

July 30, 2026Open Access

ANT (Angular-Norm Transport) & Agentized Neural Computation: A Living Colony for Turning Data, Graphs, Models, and Meaning Trajectories into Verified Executable Knowledge | [CPU-First [!]]

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The aim is to explore the Angular-Norm Transport (ANT) architecture for transforming data into verified executable knowledge.
Implemented a colony model utilizing ANT v4.5 architecture.
Conducted controlled experiments across various proposal streams with deterministic seeds.
Examined the roles of auditors and evaluated harmful-commit rates under different conditions.
Median harmful-commit rate was reduced from 0.610 to 0.010 with targeted invariant-auditor policies.
Active-state contamination events decreased from 11.5 to zero using isolated probing techniques.
Evidence completeness was high at 0.983 when utilizing signed Resurrection Packets.

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Randomized trial evaluates executable knowledge generation in a living colony, suggesting innovative data treatment methods.

Artiom Kovnatsky (2026) studied this question.

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