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Equation 12 · Why Cost and Latency Belong in the Evaluation Score, Not a Footnote

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A≻B  ⟺  sA≥sB,  cA≤cB,  lA≤lB,  with at least one inequality strict.A \succ B \iff s_A \ge s_B,\ \ c_A \le c_B,\ \ l_A \le l_B,\ \ \text{with at least one inequality strict.}

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This equation states a bound: one expression must stay on the indicated side of the other under the article’s assumptions. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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AA

Symbol A

at least as good on every axis and strictly better on at least one: [displayed formula].

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BB

Symbol B

B 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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sAs_A

Symbol s_A

the success indicator or rate with subscript A (at least as good on every axis and strictly better on at least one: [displayed formula]).

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sBs_B

Symbol s_B

sBs_B 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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cAc_A

Symbol c_A

cAc_A 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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cBc_B

Symbol c_B

cBc_B 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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lAl_A

Symbol l_A

the expected latency with subscript A (at least as good on every axis and strictly better on at least one: [displayed formula]).

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lBl_B

Symbol l_B

lBl_B 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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What the article says around this equation

Given that, the more defensible comparison between two agents is not a rank at all. It is a dominance relation. Say agent A Pareto-dominates agent B if A is at least as good on every axis and strictly better on at least one: A≻B  ⟺  sA≥sB,  cA≤cB,  lA≤lB,  with at least one inequality strict.A \succ B \iff s_A \ge s_B,\ \ c_A \le c_B,\ \ l_A \le l_B,\ \ \text{with at least one inequality strict.}. The Pareto frontier across a set of candidate agents is the subset that no other candidate dominates — the agents for which improving on any one axis would require giving something up on another. This relation makes no assumption about how much a point of accuracy is worth in dollars or seconds. It only says when one agent is unambiguously not worse than another. That is a weaker claim than a rank, and it is weaker on purpose: it is the claim the…
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Given that, the more defensible comparison between two agents is not a rank at all. It is a dominance relation. Say agent A Pareto-dominates agent B if A is at least as good on every axis and strictly better on at least one: A≻B  ⟺  sA≥sB,  cA≤cB,  lA≤lB,  with at least one inequality strict.A \succ B \iff s_A \ge s_B,\ \ c_A \le c_B,\ \ l_A \le l_B,\ \ \text{with at least one inequality strict.}. The Pareto frontier across a set of candidate agents is the subset that no other candidate dominates — the agents for which improving on any one axis would require giving something up on another. This relation makes no assumption about how much a point of accuracy is worth in dollars or seconds. It only says when one agent is unambiguously not worse than another. That is a weaker claim than a rank, and it is weaker on purpose: it is the claim the data alone actually supports, before anyone’s judgment about relative value has been added to it.

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