A neurocognitive governance model formalizes a Pre-Action Governance Reasoning Loop that consults global, workflow, agent, and situational rules before each action, yielding 95% compliance accuracy with zero false escalations in a retail supply-chain implementation.
Model con- text contracts-mcp-enabled framework to integrate llms with blockchain smart contracts
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
years
2026 4verdicts
UNVERDICTED 4roles
method 1polarities
use method 1representative citing papers
The paper introduces an agentic AI platform to train and support recovered soldiers as peer facilitators providing mental health triage and interventions in austere battlefield environments.
Proposes ten design principles for an agent-first web with changes to access (agent identification and dual content), economics (intent-based tiers and tokens), and content (ATML and provenance chains) to address blocking and epistemic recursion.
Flowr is an agentic AI framework that decomposes retail supply chain workflows into coordinated LLM-based agents with human-in-the-loop oversight to automate operations in large supermarket chains.
citing papers explorer
-
Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents
A neurocognitive governance model formalizes a Pre-Action Governance Reasoning Loop that consults global, workflow, agent, and situational rules before each action, yielding 95% compliance accuracy with zero false escalations in a retail supply-chain implementation.
-
Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments
The paper introduces an agentic AI platform to train and support recovered soldiers as peer facilitators providing mental health triage and interventions in austere battlefield environments.
-
Towards an Agent-First Web: Redesigning the Web for AI Agents
Proposes ten design principles for an agent-first web with changes to access (agent identification and dual content), economics (intent-based tiers and tokens), and content (ATML and provenance chains) to address blocking and epistemic recursion.
-
Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains
Flowr is an agentic AI framework that decomposes retail supply chain workflows into coordinated LLM-based agents with human-in-the-loop oversight to automate operations in large supermarket chains.