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Published equation contexts

hk+1=f(hk,ok,ak)h_{k+1}=f(h_k,o_k,a_k)

Why this formula appears here

Long sessions pose a lossy-state problem. When a transcript exceeds context capacity, a harness may compact earlier interaction into a summary. If hk+1h_{k+1}=f(hkh_k,oko_k,aka_k) compresses state, reliability depends on whether f preserves commitments, failed hypotheses, file identities, and unresolved constraints. More context tokens do not remove this requirement; they postpone it.

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Published contexts (1)

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hk+1=f(hk,ok,ak)h_{k+1}=f(h_k,o_k,a_k)

Equation 20 · 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.

Long sessions pose a lossy-state problem. When a transcript exceeds context capacity, a harness may compact earlier interaction into a summary. If hk+1h_{k+1}=f(hkh_k,oko_k,aka_k) compresses state, reliability depends on whether f preserves commitments, failed hypotheses, file identities, and unresolved constraints. More context tokens do not remove this requirement; they postpone it.

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