# kaal:position:2026-07-30-006

**Affirmed position.** Machine agency governance must preserve action-level attribution across delegation chains. Architecture diagrams and policy statements are insufficient if a reviewer cannot reconstruct which agent acted, under whose authority, using which evidence, and with which downstream effect.

**Status.** affirmed  **Published.** 2026-07-30

**Holds when.**

- Multi-agent or autonomous systems with delegated authority and distributed actions.

**Current debate.** Machine agency governance research: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7052199

**Extends.** kaal:claim:5245185-006: https://wulfkaal.github.io/claims/5245185-006

**Scholarly basis.** Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185

**Source PDF sha256.** `4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2`

**Topics.** machine-agency, delegation, provenance

**Provenance.** Affirmed in daily-portfolio:2026-07-30 at https://kaal-signal-desk.wulf577462.chatgpt.site/#review.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.