Author

M. S. Nacson

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Preprint Aug 2026

The Handoff Tax: Continuing Non-Native Trajectories in LLM Agents

This work varies handoff direction, timing, and interface, comparing full-trajectory transfer, compaction, and trajectory removal while preserving the repository state, and finds that the preferred interface also reverses with direction: reducing LC-model trajectory information improves escalation quality, whereas remo...

Roy Ganz, M. S. Nacson, Aditya Kalyanpur et al. · 3 citations

Preprint Aug 2026

Adaptive Influence Graphs for Failure Attribution in Multi-Agent Systems

Adaptive Influence Graphs is introduced, a two-stage agentic framework that first transforms a failed trace into a structured graph and then navigates it to identify the critical error and establishes a new state of the art on Who&When, the standard benchmark for multi-agent failure attribution.

Yarden Bakish, Amir Dudai, Roy Ganz et al. · 1 citation