Published June 2, 2026 | Version v1
Preprint Open

Architectural Interiority: Operational Self-Modeling Depth for Failure-Recovery Architectures

Authors/Creators

Description

This preprint develops Architectural Interiority as an operational account of self-modeling depth for failure-recovery architectures. It focuses on measurable self-modeling, recovery, and reporting structure; it does not claim phenomenal consciousness or subjective experience.

Notes

This upload contains the public preprint PDF and public supplemental artifacts needed to inspect the stated claims, evidence boundaries, replay fixtures, falsification notes, and license/claim disclosures. It is a public reproducibility shell only. It does not include private prompts, full raw traces, model weights or adapters, credentials, account or broker state, engine internals, production orchestration, or mutation scripts.

边界

Use the included claim/data/license boundary docs. Do not upload private prompts, full raw traces, model weights/adapters, credentials, account/broker state, engine internals, or mutation scripts.

Files

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