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Equation 20 · Why Cost and Latency Belong in the Evaluation Score, Not a Footnote

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λl\lambda_l

Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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λl\lambda_l

Symbol lambda_l

lambdala_l is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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subscript

subscript

The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.

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How to interpret it

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What the article says around this equation

This is a legitimate way to rank agents, and it is what most procurement decisions ultimately have to do. But writing it out this explicitly makes the hidden step visible: the ranking that comes out depends entirely on λc\lambda_c and λl\lambda_l , numbers that are not properties of the agents at all. A call center with razor-thin per-ticket margins and a research lab doing one-off due-diligence work on a handful of contracts will set λc\lambda_c at wildly different values, and the two will reasonably reach opposite conclusions about which agent to deploy, from identical measured data. A leaderboard that publishes a single blended score has made this choice for every reader, usually without saying…
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This is a legitimate way to rank agents, and it is what most procurement decisions ultimately have to do. But writing it out this explicitly makes the hidden step visible: the ranking that comes out depends entirely on λc\lambda_c and λl\lambda_l , numbers that are not properties of the agents at all. A call center with razor-thin per-ticket margins and a research lab doing one-off due-diligence work on a handful of contracts will set λc\lambda_c at wildly different values, and the two will reasonably reach opposite conclusions about which agent to deploy, from identical measured data. A leaderboard that publishes a single blended score has made this choice for every reader, usually without saying so, and usually without saying what the choice was.

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