Equation 9 · Part 1 · How Benchmark Contamination Actually Works in Agentic Evaluation
Symbol p
What this part means
p is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Its job in the formula
p is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Full expression→Symbol p→Article meaning
The passage around this formula
averaged over tasks to produce the benchmark’s headline number. The metric is designed to punish an agent whose competence is real but inconsistent across resampled trials — a stochastic policy with true per-trial success probability p has , which falls quickly as k grows. But a policy whose output on a given task is deterministic — an empty response, always, regardless of sampling — produces the identical transcript on every trial, so
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A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.
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Sources cited in the article section
- [8] Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗
- [7] τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains ↗
- [9] Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation ↗
These citations provide research context; check each source for the exact claim it supports.