AI entity
Every one of those 1 sits in a single category, ai-research. Of the tracked stories, 1 of 1 also mention ETH, the most common co-covered peer. Source depth averages 2 original sources per story, versus 2.6 across the same-window beat baseline.
Last mentioned: Feb 19, 2026
Entity pulse
Coverage balance Positive coverage leads. Positive coverage exceeds negative coverage by 100 percentage points.
Figures are computed live from our source-verified story record — see our methodology for how impact and sentiment are derived.
Every one of those 1 sits in a single category, ai-research. Of the tracked stories, 1 of 1 also mention ETH, the most common co-covered peer. Source depth averages 2 original sources per story, versus 2.6 across the same-window beat baseline. The 6 average consequence score is below the beat benchmark of 6.3 in the same window. We currently track 1 AI story that mention EVMbench, all published on February 19, 2026.
Computed from the 1 stories linked to this entity, with beat comparisons drawn from all 140 AI stories published in the same date window. Shares are omitted below five stories and comparisons below a twenty-story baseline.
Coverage cohort
Other entities that clear the same relevance threshold in stories also covering EVMbench. Shared-story counts are live from our verified record — not editorial picks.
OpenAI and crypto venture firm Paradigm have introduced EVMbench, a benchmark designed to evaluate the proficiency of AI agents in detecting and remediating vulnerabilities within Ethereum smart contracts. This collaboration marks a significant step toward integrating large language models into the core security infrastructure of decentralized finance.
EVMbench is linked from 1 story on this site, each scored at or above our 35% relevance threshold — see how these pages are built.
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