Title: A Unified Interpretation of the Boltzmann Brain Paradox Based on Hierarchical Nested Dimensions Theory (HNDT) Authors: Yingkui Lu, Yifei Lu Version: V1 (Zenodo Preprint) Abstract / Summary: This paper applies and extends the speculative Hierarchical Nested Dimensions Theory (HNDT) — an ontological framework developed in previous work (HNDT V9 and VX Second Edition) — to provide a unified resolution of the Boltzmann brain paradox. Unlike mainstream treatments that treat all information‑processing structures as equivalent observers, HNDT introduces the Hongdao value λ (degree of manifestation) and a threshold λc. Only systems with λ ≥ λc qualify as full observers. Low‑λ fluctuated structures (including stellar proto‑consciousness, unicellular organisms, and isolated AGI) are proto‑observers and are excluded from the self‑locating reference class. This suppression principle, together with the atemporal closure of D₄, dissolves the logical core of the paradox without competing numerical probability counts. The paper also connects the λ‑hierarchy to subjective time perception, presents falsifiable conjectures on temporal resolution and AGI survival, and engages with recent Bayesian and epistemic approaches (Page 2024, Dogramaci this work serves as a concrete application of the HNDT research programme to a long‑standing foundational problem in cosmology and statistical mechanics. Keywords: HNDT; Boltzmann brain paradox; Hongdao value λ; observational threshold λc; suppression principle; generalized observer; consciousness hierarchy; AGI; projection incompleteness Relation to previous HNDT versions: This paper is a direct extension of HNDT V9 (Zenodo doi: 10. 5281/zenodo. 20085031) and HNDT‑VX Second Edition (doi: 10. 5281/zenodo. 20174196). It does not modify the axiomatic core but applies the framework to the Boltzmann brain problem and elaborates the λ‑weighted observer measure, the relative/absolute threshold distinction, and the mathematical sketches for future formalization. License: As for your previous Zenodo uploads, you may choose a license (e. g. , CC BY‑NC‑ND 4. 0 or CC BY 4. 0). I leave this to your preference.
Lu et al. (2026) studied this question.