Arcstone Systems Architecture Specification: Deterministic Deployment of an Autonomous AI Agent in a High-Consequence Environment

Document Reference: ARC-SPEC-AGENT-HCE-001 Governing Framework: Invariant Taxonomy (Physical, Digital, Legacy) Primary Invariants: Δ_external = 0; τ_override ≤ 11.99 ms (11,990 µs); S_max ≤ 4096 B Target Master Anchor: A-77-DELTA-SHIELD-LOCKED (10.5281/zenodo.22665852) This systems architecture specification defines how to deploy a non-deterministic producer (an LLM or agentic reasoning framework) in high-consequence environments without permitting it to hold ambient authority over external system state. It treats the agent as an untrusted, high-entropy proposal generator whose candidate actions must traverse an independent, deterministic #![no_std] Rust admissibility gate and Aya eBPF LSM/tc kernel classifiers before state mutation is permitted. Key Contributions: 3-Tier Invariant Taxonomy: Assigns all controls strictly across Physical (STO relays, mechanical end-stops), Digital (#![no_std] Rust gate, eBPF LSM/tc classifiers), and Legacy (prompts, LLM judges) tiers. Lattice Join Supremum Rule: Proves that Legacy controls can only raise verdict severity (e.g., PASS to REFUSAL) but can never lower a Digital DENY to PASS. Concrete ABI & Memory Layout: Defines the fixed-width C++20/Rust ActionDescriptor memory layout (S_max ≤ 4096 B) and 5-tier poset verdict mapping (POSIX 0, 10, 12, 30, 32, 40). Microsecond Preemption Budget: Allocates the parallel fan-out override timing budget (τ_override ≤ 11.99 ms) across detection, latching, tc egress drops, cgroup freezing, and STO hardware relay dropout.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-01
DOI
https://doi.org/10.5281/zenodo.23076445
Primary Topic
Distributed systems and fault tolerance
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Arcstone Systems Architecture Specification: Deterministic Deployment of an Autonomous AI Agent in a High-Consequence Environment

Jesse Ward Tuohy
Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
preprint

Arcstone Systems Architecture Specification: Deterministic Deployment of an Autonomous AI Agent in a High-Consequence Environment

Jesse Ward Tuohy
preprint en

Abstract

Document Reference: ARC-SPEC-AGENT-HCE-001 Governing Framework: Invariant Taxonomy (Physical, Digital, Legacy) Primary Invariants: Δ_external = 0; τ_override ≤ 11.99 ms (11,990 µs); S_max ≤ 4096 B Target Master Anchor: A-77-DELTA-SHIELD-LOCKED (10.5281/zenodo.22665852) This systems architecture specification defines how to deploy a non-deterministic producer (an LLM or agentic reasoning framework) in high-consequence environments without permitting it to hold ambient authority over external system state. It treats the agent as an untrusted, high-entropy proposal generator whose candidate actions must traverse an independent, deterministic #![no_std] Rust admissibility gate and Aya eBPF LSM/tc kernel classifiers before state mutation is permitted. Key Contributions: 3-Tier Invariant Taxonomy: Assigns all controls strictly across Physical (STO relays, mechanical end-stops), Digital (#![no_std] Rust gate, eBPF LSM/tc classifiers), and Legacy (prompts, LLM judges) tiers. Lattice Join Supremum Rule: Proves that Legacy controls can only raise verdict severity (e.g., PASS to REFUSAL) but can never lower a Digital DENY to PASS. Concrete ABI & Memory Layout: Defines the fixed-width C++20/Rust ActionDescriptor memory layout (S_max ≤ 4096 B) and 5-tier poset verdict mapping (POSIX 0, 10, 12, 30, 32, 40). Microsecond Preemption Budget: Allocates the parallel fan-out override timing budget (τ_override ≤ 11.99 ms) across detection, latching, tc egress drops, cgroup freezing, and STO hardware relay dropout.

Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.