Research Papers
Explore our technical publications, active research files, and architectural drafts.
Neural Architecture for Multi-Agent Systems
Proposing a state-routing graph model for multi-agent systems, prioritizing deterministic path selection and failover states during concurrent runs.
Scalable Knowledge Graph Construction
Detailing chunk extraction frameworks using custom parser schemas to build reliable, searchable entity graphs from enterprise PDF logs.
Efficient Document Understanding Models
Methods for training token-efficient layout encoders, lowering layout analysis times by 40% while preserving optical character details.
Real-time Anomaly Detection Framework
Evaluating telemetry logs using lightweight encoder networks to flag system connection anomalies in under 5 milliseconds.
Federated Learning for Enterprise AI
Mocking model updates across isolated data nodes, keeping proprietary data within on-premise partitions while syncing weights.
Conversational AI Orchestration
Outlining state-machines that coordinate conversation turns, routing complicated user intents to correct specialist agents.