Research publications
An index of public SGAEIA research articles with individual abstracts, persistent Zenodo records, and web-reading editions.
SGAEIA Research Series — Article 25
A critical narrative review of conversational state, token cost, reliability, security, governed routing, and trajectory-level evidence in single-turn and multi-turn LLM interactions.
SGAEIA Research Series — Article 24
A technical review of LLM routing architectures, benchmarks, gateways, governance, security, and trajectory-level evidence for agentic and multi-agent systems.
SGAEIA Research Series — Article 23
An evidence-based review of six cost levers for AI systems using LLMs, their limits, overheads, quality gates, and governed SGAEIA architecture.
SGAEIA Research Series — Article 22
A technical, formal, and didactic explanation of Transformer inference, from tokenization and embeddings through attention, multilayer processing, logits, decoding, and governed execution.
SGAEIA Research Series — Article 21
An analysis of the scientific open letter on AI and cybersecurity, documented incidents, evaluation limits, and evidence for agent containment and governed authority.
SGAEIA Research Series — Article 20
A critical comparison of AI agents, agenticness, and agentic AI across foundational research and major providers, separating entity, property, system, capability, and authority.
SGAEIA Research Series — Article 19
How LoRA adapters become behavioral dependencies in AI agents, creating security and governance concerns across supply chains, composition, isolation, revocation, and evidence.
SGAEIA Research Series — Article 18
A comparative review of 13 platforms connecting traces and spans to evaluation, governed evidence, and distributed multi-agent operation.
SGAEIA Research Series — Article 17
From jailbreak history to autonomous agents: model resistance, bounded authority and evidence of response, action and effect.
SGAEIA Research Series — Article 16
Why capability growth must not silently become operational authority.
SGAEIA Research Series — Article 15
Why persistent memory, tools, peer influence, and time change the security evaluation of autonomous AI systems
SGAEIA Research Series — Article 14
How to govern what we cannot fully understand
SGAEIA Research Series — Article 13
Governing factual failure in AI agents and agentic applications
SGAEIA Research Series — Article 3
Why identity alone is not enough when autonomous agents can delegate work, invoke tools, and create real-world effects
SGAEIA Research Series — Article 8
From capable models to bounded, observable, revocable, and evidence-producing autonomous systems
SGAEIA Research Series — Article 12
Capability, autonomous agents, recursive improvement, and the emerging race for control
SGAEIA Research Series — Article 11
Why agent harnesses, execution boundaries, and trajectory assurance are becoming foundational to secure autonomous AI
SGAEIA Research Series — Article 10
What emergent coordination reveals about security boundaries and the future of AI governance
SGAEIA Research Series — Article 7
Why security must become an architectural property before autonomous systems are allowed to act
SGAEIA Research Series — Article 9
Recursive self-improvement, agentic security, and why frontier AI governance is entering a new phase
SGAEIA Research Series — Article 6
Why accountable AI requires evidence that can be questioned, assessed, and understood
SGAEIA Research Series — Article 5
Why autonomous systems require machine-executable governance, continuous risk evaluation, and verifiable compliance evidence
SGAEIA Research Series — Article 4
Why multi-agent systems need verifiable chains of authority, constrained delegation, provenance, and revocation
SGAEIA Research Series — Article 2
Why trustworthy Agentic AI requires explicit, enforceable, time-bounded, and revocable permission to act
SGAEIA Research Series — Article 1
Why autonomous AI agents require security, governance, and bounded authority by design