2026-08-29

ARCS Research Digest

An automatically generated digest of the newest public records curated into ARCS. Descriptions are derived from depositor-supplied Zenodo metadata; the digest does not add peer-review claims or independent capability judgments.

Preprint · 2026-08-29

From APIs to Agent Markets: Governed Capability Acquisition and Qualified Demand in a Machine-Payable Agent Utility Grid

Allit, Gabriel

Autonomous agents can invoke tools, but invocation alone does not define a market. Before software can economically acquire an external capability, it must discover a relevant operation, observe current price and requirements, determine whether payment is authorized, cross a payment boundary, receive an outcome, and preserve enough evidence to distinguish…

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Preprint · 2026-08-27

Beyond Persistence: Causal Cross-Process Cognitive Influence in a Governed Agent Architecture

Allit, Gabriel

Persistent state is often credited as memory or learning even when it never affects a later decision. This preprint introduces Persistent Cognitive Influence (PCI), an operational evaluation discipline that separates recording, durable persistence, fresh-process retrieval or reload, canonical cognitive consumption, attributable downstream influence…

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Preprint · 2026-08-25

The Agent Utility Grid: Governed Machine-Payable Decision Intelligence for Autonomous AI Agents

Allit, Gabriel

Autonomous AI systems increasingly require external capabilities that are not economically or operationally sensible to bundle into a single model or runtime. Model Context Protocol (MCP) standardizes capability discovery and invocation, while x402 standardizes HTTP-native payment negotiation for machine actors. Those protocols solve important…

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Working paper · 2026-08-15

From Intent to Verified Work Products: Governed Semantic Capability Composition in EvoMind

Allit, Gabriel

This working paper describes a systems pattern implemented in EvoMind for converting a high-level user objective into one or more real, verified work products without granting the planner direct execution authority. The pattern separates semantic planning, capability resolution, governance admission, execution, independent verification, and artifact-state…

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Preprint · 2026-08-10

Beyond Scale, Agents, and Embodiment: Governed Experience Compounding in EvoMind - An Evidence-Based Positioning of a Persistent Cognitive Runtime in the Emerging AGI Landscape

Allit, Gabriel

EvoMind is a local-first, governed cognitive runtime investigating whether deployment experience can become persistent, reusable, transferable operational capability. Evaluating EvoMind against the contemporary artificial-intelligence landscape requires more than comparing parameter counts, language benchmarks, multimodal inputs, computer use, persistent…

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Technical note · 2026-08-10

EvoMind: A Governed Cognitive Architecture for Persistent, Verifiable, Experience-Driven Agentic Autonomy

Allit, Gabriel

EvoMind is a local-first, governed cognitive architecture designed to separate cognitive capability, runtime authorization, execution, and verification into explicit system authorities rather than treating model output as direct permission to act. This technical note documents EvoMind at a frozen first-party engineering snapshot dated 10 August 2026…

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Working paper · 2026-07-08

Verified Semantic Transitions (VST): Belief-Gated State Change and Repair-Invariant Memory for Reliable Long-Horizon AI Agents

Allit, Gabriel

Tool-using AI agents increasingly operate in asynchronous, partially observable environments where a successful API return, mouse click, keystroke sequence, or tool invocation does not guarantee that the intended semantic outcome occurred. This white paper proposes Verified Semantic Transitions (VST), an implementation-neutral architectural primitive that…

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Preprint · 2026-06-06

EvoMind: A Governed Cognitive Architecture for Autonomous Reasoning, Planning, Memory, and Desktop Agents

Allit, Gabriel

EvoMind is a governed cognitive architecture and research platform for autonomous reasoning, memory, planning, learning, and desktop-agent execution. The architecture is organized around a closed-loop cognitive cycle consisting of perception, world-model maintenance, memory formation and retrieval, decision support, planning, governance enforcement…

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