**Agentic AI systems constrained by blockchain-enforced human oversight (as in wildfire monitoring) will reduce hallucination propagation in multi-agent single-cell genomics discovery (e.g., ELISA/SCTA) by enforcing cryptographically verifiable attention pattern validation against co-expression ground truth.**
Adversarial Debate Score
30% survival rate under critique
Expert panel critique
Independent views, each critiquing the hypothesis on its own — the score rewards genuine disagreement and discounts consensus.
Supporting Research Papers
- Governance-Constrained Agentic AI: Blockchain-Enforced Human Oversight for Safety-Critical Wildfire Monitoring
The AI-based sensing and autonomous monitoring have become the main components of wildfire early detection, but current systems do not provide adaptive inter-agent coordination, structurally defined h...
- Trustworthy Agentic AI: A Survey and Taxonomy of Secure Coordination and Hallucination Mitigation in Multi-Agent Large Language Model Systems
Background: Large language model (LLM)-based agentic systems are evolving beyond single-turn generators into autonomous, toolusing, multi-agent workflows with persistent memory and self-directed plann...
- A Blockchain-Monitored Agentic AI Architecture for Trusted Perception–Reasoning–Action Pipelines
The application of agentic AI systems in autonomous decision-making is growing in the areas of healthcare, smart cities, digital forensics, and supply chain management. Even though these systems are f...
- Steering the Verifiability of Multimodal AI Hallucinations
AI applications driven by multimodal large language models (MLLMs) are prone to hallucinations and pose considerable risks to human users. Crucially, such hallucinations are not equally problematic: s...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.