Corea Starstroupe Research Paper Archive

The Corea Starstroupe Research Paper Archive, a curated collection of our open-source contributions in natural language processing, embedded AI, and human-computer interaction.

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  Intentional Systems: Designing Computational Frameworks for Human Purpose Alignment

  Explores computational frameworks designed to align AI systems with human intentions, focusing on ethical and purposeful interaction models.

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  Nexora Proto v0.1: Foundational Build of a Compact NLP Stack for Resource-Constrained Devices

  Details the initial development of Nexora Proto, a sub-million-parameter NLP model optimized for microcontrollers, with focus on tokenization and embedding stability.

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  NeuroLite-4M: A Compact Small Language Model for Real-Time Edge Processing

  December 2023

  Intentional

  Introduces NeuroLite-4M, a compact language model designed for real-time NLP tasks on edge devices, emphasizing low-latency inference.

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  Semantic Presence: A Framework for Emotionally and Spatially Aware Human-Computer Interaction

  Proposes a framework for enhancing human-computer interaction through emotionally and spatially aware interfaces, leveraging semantic context.

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  PEACHI OS: Foundational Implementation for Natural Language Processing Workloads

  Outlines the foundational implementation of PEACHI OS, a lightweight operating system for NLP workloads, with focus on microkernel modularity and token scheduling.

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  Nexora NeuroLite v0.6.2: Stabilization and Optimization for Embedded NLP Platforms

  Presents the stabilization phase of Nexora NeuroLite v0.6.2, with enhancements in training compression, scheduling, and vector integrity for embedded NLP.

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  Nexora Neurolite v1.0: Architectural Evolution for Lightweight NLP on Embedded Devices

  Chronicles the evolution from Nexora Proto to Neurolite v1.0, a production-ready model for embedded NLP with improved compression and instruction tuning.

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  Auralis v0.1: A Compact NLP Model for Lightweight Instruction-Following and Real-Time Comprehension

  Documents the initial development of Auralis v0.1, a compact NLP model for instruction-following and dialog intent extraction, with focus on interpretability.

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  Intent Vector System: A Computational Framework for Real-Time User Intent Modeling in Peachi OS

  Introduces a computational framework for real-time user intent modeling within PEACHI OS, enhancing conversational intelligence.

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  October OS: Adaptive Kernel Computation for Conversational Intelligence

  Details advancements in PEACHI OS’s adaptive kernel for conversational AI, focusing on dynamic computation for real-time dialogue.

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  Adaptive Cognitive Interfaces: The Lumen Layer Framework in Project Mindmesh

  Explores the Lumen Layer framework in Project Mindmesh, enabling adaptive cognitive interfaces for enhanced user interaction.

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  Auralis: A Next-Generation Small Language Model for Nuanced NLP in Resource-Constrained Environments

  Ron Asnahon, January 2025

  Presents Auralis as a next-generation NLP model for nuanced tasks in low-resource settings, building on prior Auralis developments.

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  Project Mindmesh: The LumMindmesh – A Perceptual Operating System Architecture

  Ron Asnahon, May 2025

  Details the Lumen Layer in Project Mindmesh, a perceptual OS architecture for advanced human-computer interaction.

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