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Agent Identification research benchmarks · SOTA2 Research

Agent Identification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

AI Agent, Human, and Crawler Identification Dataset 30-fold cross-validation (test)

MARK (Extra Trees)

100Accuracy

5

Jun 23, 2026

Phantom TTT 500 agents (eval)

97.5Top-1 Accuracy

4

Jul 3, 2026

Liar’s Dice (500 eval agents)

89.5Top-1 Accuracy

4

Jul 3, 2026

Leduc Poker 500 eval agents

57.8Top-1 Accuracy

4

Jul 3, 2026

Kuhn Poker 500 eval agents

47.9Top-1 Accuracy

4

Jul 3, 2026

Leduc Poker (eval)

Trajectory Encoder

57.8Top-1 Accuracy

4

Jul 3, 2026

Kuhn Poker (eval)

Trajectory Encoder

47.9Top-1 Accuracy

4

Jul 3, 2026

Popular datasets

Kuhn Poker Leduc Poker Liar's Dice AI Agent, Human, and Crawler Identification Dataset Phantom TTT

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