Blockchain-enforced smart contracts that dynamically adjust compute-budget allocations based on real-time inter-agent coordination anomalies mitigate multi-agent hallucination propagation in decentralized wildfire-monitoring networks.
Adversarial Debate Score
55% 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...
- Resource-Optimized and Energy-Aware Agentic AI Framework Anchored on Blockchain for Secure Software Supply Chains
This paper proposes a blockchain-backed agentic security framework designed to safeguard the complete software development lifecycle (SDLC) while also securing the agentic AI components responsible fo...
- A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms
Multi-agent AI science ecosystems rely on agents possessing tools that allow them to communicate, coordinate, and build on each other's work. Yet this shared infrastructure can also introduce vulnerab...
- Trust-Aware Adaptive Disclosure for Inference Privacy Preservation in Multi-Agent Networks
Agent based systems are increasingly deployed in information critical systems including healthcare management systems, and smart grids. In this paper, we consider a multi-agent system where each agent...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.