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15 papers in the last four weeks, up 25% on the four weeks before. 0.2% of all new papers.

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The Model Is Not the Product: A Dual-Pillar Architecture for Local-First Psychological Coaching
May 23, 2026Alexander MihalceaLarge Language Model Memory Coaching Systems
SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction
May 21, 2026Pengcheng Fang, Hongli Chen, Fangfang Tang +3Magnetic Resonance Imaging Reconstruction Mamba
University of Southampton · University of Queensland · Soochow University
Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media
May 19, 2026Calvin Yixiang Cheng, Dorian Quelle, Scott A. HaleSocial Media Linguistics
Oxford Internet Institute, University of Oxford, 1 St Giles’, Oxford, OX1 3JS, United Kingdom · Meedan, San Francisco, 94105, USA · Department of Mathematics, University of Zurich, Zurich, 8057, Switzerland
NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents
May 17, 2026Mujahid Sultan, Sri Thuraisamy, Daya RajaratnamNeuro-Symbolic Framework Large Language Model Agents
†MLSoft Inc., Toronto, Ontario, Canada · ∗iVedha Corporation, Toronto, Ontario, Canada
PFlow-T: A Persistence-Driven Forward Process for Topology-Controlled Generation
May 17, 2026Snigdha Chandan KhilarDiffusion Models Persistent Homology
Independent Researcher
Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI
May 12, 2026Georgios Makridis, Georgios Fatouros, John Soldatos +2Xai Financial Sentiment Analysis
University of Piraeus, Greece · ExpertAI-Lux S.à r.l · Department of Digital Systems
Not All Memories Age the Same: Autodiscovery of Adaptive Decay in Knowledge Graphs
Apr 22, 2026Mandar KarhadeTemporal Knowledge Graphs Graph-Structured Memories
VibES: Induced Vibration for Persistent Event-Based Sensing
Aug 26, 2025Vincenzo Polizzi, Stephen Yang, Quentin Clark +3Vibration Vibe Coding
University of Toronto, Robotics Institute · University of Toronto, Department of Mechanical and Industrial Engineering · University of Toronto +1

May 23, 2026, cs.AIJ/K move · Enter open · S save

The Model Is Not the Product: A Dual-Pillar Architecture for Local-First Psychological Coaching

Alexander Mihalcea

Large Language Model Memory Coaching Systems Persistence

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Existing language model applications struggle to meet the demand for emotionally oriented support, primarily due to their inability to maintain deep, persistent context across sessions. This report introduces Psych LM, an iOS application that validates the thesis that, for such applications, the surrounding architecture is paramount. Psych LM runs a local, on-device language model within a purpose-built, local-first runtime designed for behavioral and life-coaching applications. The system achieves the practical effect of a near-infinite context window through an automated, user-inspectable memory corpus that converts conversations into structured memory cards, including facts, goals, and events, and dynamically injects them into the prompt via semantic and vector search. As such, the system can be defined as an active-learning, retrieval-augmented generative, on-device architecture. This architecture delivers four primary contributions: a local-first design where privacy is a core property; a detailed description of the memory corpus for persistent context of key user information; a deterministic orchestration layer that provides a stable behavioral spine independent of the model's internal state; and a benchmark framework focused on evaluating the integrated system's reliability under realistic operating conditions. The R and D process confirms that complex, context-aware interaction can be reliably achieved under the strict constraints of a mobile environment by prioritizing architectural control and resource management over simple model size.

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