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NostrAgent demonstrates an auditable prototype substrate for trustworthy agentic systems without centralized trust roots, and evaluates a Python prototype with a mixed-method design.
This position paper proposes that companies deploying agents in sustained operation should rebuild their cognitive substrate, the shared environment agents read as working context, around representations matched to that reasoning surface, isolating schema translation to the action boundary.
ARISMA treats AI as an inspected, benchmarked, logged, and reversible assistant rather than an autonomous reviewer, built around one governing principle: every consequential scientific decision must remain human-interpretable, human-auditable, and human-accountable.
Three building blocks toward a complete, privacy-preserving browser agent, a verified repair instrument pairing a trilingual seeded-violation benchmark with an audit-inject-verify loop, and a dual-condition protocol that measures harm as carefully as benefit are contributed.
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