The paper proposes MindGap, an on-device AI framework using dependent origination to guide PTSD patients through progressive observation layers for upstream neuroplastic intervention rather than downstream symptom management.
Astride: A security threat modeling platform for agentic-ai applications
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
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cs.AI 4years
2026 4verdicts
UNVERDICTED 4roles
background 2polarities
background 2representative citing papers
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.
A cross-platform mobile application deploys an ensemble of quantized open-source LLMs for fully local, DSM-5-aligned psychiatric decision support with claimed accuracy comparable to prior cloud versions.
AI Trust OS is a proposed always-on operating layer that discovers undocumented AI systems via telemetry and produces continuous zero-trust compliance artifacts for regulations including ISO 42001, EU AI Act, SOC 2, GDPR, and HIPAA.
citing papers explorer
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MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder
The paper proposes MindGap, an on-device AI framework using dependent origination to guide PTSD patients through progressive observation layers for upstream neuroplastic intervention rather than downstream symptom management.
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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.
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Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support
A cross-platform mobile application deploys an ensemble of quantized open-source LLMs for fully local, DSM-5-aligned psychiatric decision support with claimed accuracy comparable to prior cloud versions.
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AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments
AI Trust OS is a proposed always-on operating layer that discovers undocumented AI systems via telemetry and produces continuous zero-trust compliance artifacts for regulations including ISO 42001, EU AI Act, SOC 2, GDPR, and HIPAA.