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cs.AI2026

Certifying Interventional Agreement Among Observationally Equivalent Causal Models

Sourena Khanzadeh, Daniel Platnick, Marjan Alirezaie +1

Observationally equivalent causal models can still disagree about what happens under intervention, because interventions create inputs that never occur in observational data. We in…

cs.AI2026

Escaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution

Veronica Poweska, Ariana Oyanguren, Jessica Pourleyli +2

Dependency conflicts in Python ecosystems arise from incompatible version constraints, missing packages, and undocumented compatibility relationships, causing many real-world code…

cs.AI2026

Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents

Theo Rusu, Sourena Khanzadeh, Manar Alalfi

Knowledge graphs have been proposed as a structured alternative to flat retrieval-augmented generation for long-term agent memory, on the assumption that representing conversations…

cs.AI2026

Share No More Than the Request Requires: Federated Disclosure for Perspective-Aware AI

Sourena Khanzadeh, Daniel Platnick, Marjan Alirezaie +1

Modern AI systems bring societal risks such as mass surveillance, extreme concentrations of power, and loss of user autonomy---calling into question a model where third-parties col…

cs.AI2026

Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents

Sourena Khanzadeh

As Large Language Model (LLM) agents are increasingly tasked with high-stakes autonomous decision-making, the transparency of their reasoning processes has become a critical safety…