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Hari Sundaram

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#artificial intelligence Preprint Aug 2026

Facts Without Rules: Boundary Metadata Collapse in Multi-Agent LLM Handoffs

It is shown that this handoff step is a structural source of privacy leakage: summaries preferentially preserve operational facts while weakening the boundary metadata that governs how those facts may be used---a failure mode the authors call summary collapse.

Yian Wang, Agam Goyal, Eshwar Chandrasekharan et al. · 0 citations
Jul 2026

Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation

This work proposes a framework that ensembles the reasoning structure, not just the answers, of multiple LLMs by weighted merging of Directed Acyclic Graphs (DAGs) extracted from reasoning chains by weighted merging of Directed Acyclic Graphs (DAGs) extracted from reasoning chains.

Amruta Parulekar, Jinu Lee, Dilek Z. Hakkani-Tür et al. · 1 citation

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