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Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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FLAME: Flash War Latency Architecture for Multi-Domain Escalation Control

Authors: OKTENLI, BURAK;

FLAME: Flash War Latency Architecture for Multi-Domain Escalation Control

Abstract

FLAME (Flash War Latency Architecture for Multi-Domain Escalation Control) is a research prototype implementing strategic latency as a formal architectural control mechanism for AI-assisted multi-domain operations. The system introduces a deterministic delay function D(AuthLevel, Tier, Domain, THREATCON, CircuitBreakerState) that enforces minimum human review windows before commands can reach operational effectors. The architecture is designed to prevent automated escalation scenarios in which AI systems generate actions faster than human oversight cycles allow. FLAME v5.11 is implemented as a single-file browser-executable prototype with a pure functional reducer engine, SHA-256 chained audit log, circuit-breaker state machine, threat-condition floor scaling, and a rules-of-engagement enforcement layer. The prototype includes:• deterministic delay computation engine • five-state circuit-breaker safety mechanism • six Rules of Engagement constraints • M-of-N consensus authorization system • cryptographically chained audit logging • deterministic replay capability Evaluation includes exhaustive enumeration of all 1,000 delay-function combinations and stress testing across 50,000 randomized command inputs, confirming zero delay-floor violations. FLAME v5.11 is released as a research artifact and reference implementation accompanying a patent application concerning deterministic latency injection for escalation control in autonomous command architectures. This software is a research prototype and is not suitable for operational deployment.

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Keywords

circuit breaker architecture, military AI safety, strategic latency, multi-domain operations, command-and-control systems, autonomous weapons, escalation control, deterministic systems, human-in-the-loop, AI governance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average