Paper 8 — HTS-Based Evidence Sealing in the AGI Era: Preserving Output History, Human Discretion, and Evidentiary References

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Authors: The First Waters
Cited by: 46
References: 7

Abstract

This working paper introduces HTS-Based Evidence Sealing as a non-executable history-reference and time-based sealing reference framework for the AGI era. Building on Papers 1 through 7 of the AGI Structural Alignment Series, this paper addresses how AI+AGI output histories, human review records, human-discretion records, role-based responsibility references, and multi-layer verification records may correspond to later evidentiary references and time-based sealing references. In this paper, HTS is not defined as a system that automatically confirms evidence, creates legal effect, performs validation, generates states, or assigns responsibility. Rather, HTS is positioned as a time-based sealing reference layer that may preserve the temporal reference of output histories, human-discretion records, role-based responsibility references, and verification records. The paper further aligns HTS with SCD/BIFACE coordinate identifiability, CHOPSTICK-based human discretion, Role Society accountability references, ARI preservation/reference contexts, Multi-Layer Cross Verification, and AGI Output Governance, without allowing HTS to absorb their respective functions. This working paper is Paper 8 of the AGI Structural Alignment Series. This record provides the Expanded Final Publication Edition v2.0 of Paper 8 in the Structural Paper Series under the Research Program on Deterministic Infrastructure and Human-Centered AI Coordination. This version reflects the second expanded publication revision, with unified publication front matter, expanded academic structure, strengthened non-substitution boundaries, and broader cross-domain applicability.

Fields of Study & Subjects

Ethics and Social Impacts of AI Research Data Management Practices Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 May 2026
Language
EN