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E=(D,M,H,B,P,X,V,τ)\mathcal E = (D,M,H,B,P,X,V,\tau)

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A complete evaluation record should identify at least E=(D,M,H,B,P,X,V,τ)\mathcal E = (D,M,H,B,P,X,V,\tau). where D is the task distribution, M the model snapshot, H the harness, B the inference and retry budget, P permissions, X the execution environment, V verification, and τ\tau the evaluation date. Omitting any of these makes reproduction or comparison weaker.

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E=(D,M,H,B,P,X,V,τ),\mathcal E = (D,M,H,B,P,X,V,\tau),

Equation 45 · AI Agents & Systems

OpenAI Codex as a Software-Engineering System: Models, Harnesses, and Evidence

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.

A complete evaluation record should identify at least E=(D,M,H,B,P,X,V,τ)\mathcal E = (D,M,H,B,P,X,V,\tau). where D is the task distribution, M the model snapshot, H the harness, B the inference and retry budget, P permissions, X the execution environment, V verification, and τ\tau the evaluation date. Omitting any of these makes reproduction or comparison weaker.

Meanings in this article

  • DD: the task distribution.
  • MM: the model snapshot.
  • HH: the harness.
  • BB: the inference and retry budget.
  • XX: the execution environment.
  • τ\tau: the evaluation date.
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