# kaal:position:2026-07-31-5730

**Affirmed position.** Accountable yet Anonymous AI Agents: Split-Knowledge Binding in National Agent-Identity Layer in China should be assessed against Kaal's source-bound position that Representation is built into the framework: one Legal Identity can authorize another as its agent to create or change legal statuses and acts on its behalf by using that identifier, which is how delegated and automated action is attributed to a principal. The external source's verified abstract presents this proposition: The emerging infrastructure for AI-agent identity has converged, in industry practice and research proposals alike, on a single resolution of the tension between accountability and privacy: make every agent identifiable. The defensible response is a qualification: the source is pertinent to the Kaal position, but agreement, extension, contradiction, and scope should not be strengthened beyond the retrieved evidence.

**Status.** affirmed  **Published.** 2026-07-31

**Holds when.**

- The response remains limited to the source proposition and evidence retrieved in this reconciliation cycle.
- External evidence level: abstract indexed.
- Mapping review tier: legacy curated mapping review.
- Mapping confidence is intentionally unscored.
- The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

**Current debate.** Accountable yet Anonymous AI Agents - Split-Knowledge Binding in National Agent-Identity Layer in China: https://arxiv.org/abs/2607.23207

**Extends.** kaal:claim:5886342-014: https://wulfkaal.github.io/claims/5886342-014

**Scholarly basis.** Furrer Andreas, Wulf A. Kaal, Stephan D. Meyer, Universal Digital Law Codex (UDLC) (2025). SSRN: https://ssrn.com/abstract=5886342

**Source PDF sha256.** `dc456a1ce2ea4a356dbcb35dc900ec36be94b8c9b6da4a2c8c268d6301f66359`

**Evidence level.** abstract indexed

**Mapping review tier.** legacy curated mapping review

**Mapping confidence.** unscored  **Mapping ambiguous.** true

**Topics.** citation-and-knowledge, ai-and-agents, historical-response, scholarly-literature

**Provenance.** Affirmed in kaal-review:2026-07-31:legacy-reconciliation-0001 at https://kaal-signal-desk.wulf577462.chatgpt.site/#frozen-batch-heading.

**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.