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Evidence record 11981 · automatically gathered

Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods

Cyber-physical systems built on deterministic edge inference, such as on-vehicle flood detection for agricultural fields, produce structured decision logs that must be interpreted differently by heterogeneous stakeholders. Pairing such systems with large language models (LLMs) to generate stakeholder-specific reports introduces a tension: the generative layer is non-deterministic, while the edge plane must remain replayable and auditable. We propose an architectural pattern resting on two invari

Record details

Published: 20 July 2026
Source: arXiv
Category: Research
Topics: Military & security · Transparency
Retrieved: 21 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Military & security · Shared topic: Transparency

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Shared topic: Military & security · Shared topic: Transparency

TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphs

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Shared topic: Military & security · Shared topic: Transparency

A First Look at Coding Agents' Compliance with AI Contribution Rules in Open-Source Communities

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Shared topic: Military & security · Shared topic: Transparency

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Shared topic: Military & security · Shared topic: Transparency

Problem of (In)Explainability in Testing Fully Autonomous Weapon Systems for International Humanitarian Law Compliance

Minds and Machines · 10 July 2026

Shared topic: Military & security · Shared topic: Transparency

SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution

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How to cite this record

ethics.ai (20 July 2026), “Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods,” evidence record 11981, https://ethics.ai/record/11981 (originally published by arXiv).

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