Requirement-Bound Verified Commissioning: A Frozen Four-Billion-Parameter Local Model as a Candidate Generator under an External Acceptance Layer with Verification and Release Authority

arXiv:2609.30219 · cs.SE, cs.AI, cs.SY, eess.SY · Submitted 2026-09-24 · Read on arXiv

cs.SE, cs.AI, cs.SY, eess.SY

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Benchmark — 45× in this paper · explained in 2 episodes
• Verification — 20× in this paper · explained in 2 episodes
• Abstention — 13× in this paper · explained in 1 episode
• Frozen model — 10× in this paper · explained in 3 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Active Learning — 3× in this paper · explained in 6 episodes
• Conformal Prediction — 3× in this paper · explained in 5 episodes
• Core — 3× in this paper · explained in 2 episodes
• Sycophancy — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Closed-Loop Control — 2× in this paper · explained in 3 episodes
• Meta-learning — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic Artificial Intelligence — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Formal Methods — 1× in this paper · explained in 3 episodes
• Planning Domain Definition Language — 1× in this paper
• Provenance — 1× in this paper · explained in 4 episodes
• Real-Time and Embedded Technology and Applications Symposium — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Small Language Models are the Future of Agentic AI
• Knowing but Not Correcting: Routine Task Requests Suppress Factual Correction in LLMs
• When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models
• ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise
• Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings
• Language Models (Mostly) Know What They Know
• Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra
• LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
• Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents
• A Deterministic Control Plane for LLM Coding Agents
• Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents
• Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
• Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction
• Model-Driven Discipline for Multi-Agent LLMs: Requirement-to-Verification Generation of Traceable System Models
• Qwen3 Technical Report

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