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Published equation contexts

P(Δ)={(rj,aj,mj,hj,sj,ej)}j=1nP(\Delta)=\{(r_j,a_j,m_j,h_j,s_j,e_j)\}_{j=1}^{n}

Why this formula appears here

A more useful provenance record attaches roles to transformations: P(Δ)={(rj,aj,mj,hj,sj,ej)}j=1nP(\Delta)=\{(r_j,a_j,m_j,h_j,s_j,e_j)\}_{j=1}^{n}. where each event records role r , actor a , model m , harness h , input state s , and evidence e . “Machine-originated” can then mean that an agent produced the first substantive implementation; “machine-verified” can mean automated evaluators generated the acceptance evidence; neither removes the human or institution that authorized deployment.

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Δ\Delta

Symbol Δ

Δ is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.

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Published contexts (1)

A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.

P(Δ)={(rj,aj,mj,hj,sj,ej)}j=1n,P(\Delta)=\{(r_j,a_j,m_j,h_j,s_j,e_j)\}_{j=1}^{n},

Equation 12 · AI Agents & Systems

Codex in 2035: Scenarios for Software Teams, Verification, and Machine-Written Code

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

A more useful provenance record attaches roles to transformations: P(Δ)={(rj,aj,mj,hj,sj,ej)}j=1nP(\Delta)=\{(r_j,a_j,m_j,h_j,s_j,e_j)\}_{j=1}^{n}. where each event records role r , actor a , model m , harness h , input state s , and evidence e . “Machine-originated” can then mean that an agent produced the first substantive implementation; “machine-verified” can mean automated evaluators generated the acceptance evidence; neither removes the human or institution that authorized deployment.

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