# Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems > Source: > Published: 2026-10-19 05:30:06+00:00 Reliable deployment of LLM-based multi-agent systems calls for runtime auditors that predict terminal outcomes from observed execution prefixes. These auditors typically learn from a limited corpus of trajectories with verified outcomes. Expanding this corpus requires costly execution and verificati