The UFT-ID Inference Transport Diagnostic Map: Position Paper and Author Response

Read full text
Authors: Trent Slade
Cited by: 0

Abstract

This Zenodo record contains two related artifacts: The UFT-ID Inference Transport Diagnostic Map: A Methodological Instantiation — a position paper proposing a domain-agnostic diagnostic framework for articulating and auditing inference stability across calibration and deployment contexts. The paper is explicitly non-ontological, non-prescriptive, and non-resolutive, and is intended to provide a shared diagnostic vocabulary and ordered audit structure rather than a validated methodology. Response to Reviewers – UFT-ID Position Paper — a companion author response documenting the resolution of peer-review concerns across multiple revision cycles. This document clarifies scope, contribution type, and the rationale for concluding revisions. It is provided for editorial transparency and scholarly record-keeping and does not constitute part of the manuscript or introduce new claims. Together, these files document the finalized position paper and the methodological reasoning underlying its framing and limitations.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Ethics and Social Impacts of AI Scientific Computing and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 February 2026
Document type
Preprint