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HarnessEval-W turns evaluation into a transparent graph of evidence
Focus: Earlier edition
Date: August 17, 2026
Topics: Harness engineering, graph engineering, multi-agent evaluation, tool use, evidence and observability
Evidence: Unspecified
Availability: Unspecified
Summary: HarnessEval-W proposes an agent-based evaluation pipeline for world-model rollouts. A parent agent interprets each evaluation, decomposes it into measurable subproblems, and assigns specialized sub-agents tailored context and diagnostic tools. The parent then validates the evidence and produces a verdict represented by a traceable evidence tree. The authors applied the system to 18 world models across 330 evaluation cases and report close alignment with human preferences.
Why it matters: Conventional evaluation often compresses performance into a score that does not explain the failure. HarnessEval-W makes the evaluation process inspectable: decomposition, evidence gathering, validation, and judgment remain connected in a graph. That structure can support diagnosis and human review better than a single scalar metric.
Source: arXiv