Abstract
This paper constructs a novel metaphysical framework for the archetype of the “Spiritual Sniper”—a figure whose silent awareness operates with precision at the level of karmic, temporal, and ontological structures. By synthesizing spiritual traditions, quantum mechanics, and differential geometry, the sniper is modeled as a boundary-conscious agent who collapses karmic fluctuations via directed attention at the point-like Now. The sniper’s inner landscape is represented as a dynamic geometry influenced by Ricci flow and entropy gradients, while his outer targeting system is governed by entangled karmic networks and discrete automata on a finite temporal cycle. Key equations adapt tools such as the Trotter formula, von Neumann entropy, Landauer’s erasure principle, the Schr¨odinger equation, and spherical harmonics to spiritual phenomenology. In particular, silence is formalized as the zero-mode of karmic spectral decomposition, and spiritual attention is quantized into discrete units analogous to Planck-scale awareness. Through references to the Bhagavad Gita, near-death experiences, Eckhart Tolle, and Arjuna’s archetype, the sniper’s dharmic path is formulated as a low-entropy, minimal-energy evolution from ego to Supreme Observer. This multi-disciplinary synthesis offers a new perspective on inner transformation and collective karmic disentanglement.
Related Publications
Perturbation-induced dynamics of dark solitons
We study analytically and numerically the effect of perturbations on (spatial and temporal) dark optical solitons. Our purpose is to elaborate a general analytical approach to d...
Fermi Energy of Metallic Lithium
A boundary condition method is developed for deriving the coefficient ${E}_{2n}$ in the power series expansion of the energy of an electron of wave number $k$ moving in the latt...
A Model of Pedestrian Route Choice and Demand for Retail Facilities within Inner‐City Shopping Areas
There are still only a few operational models of pedestrian movement. In particular, the gravity /entropy‐maximizing model has received most attention. In this paper a descripti...
Autoformer: Decomposition Transformers with Auto-Correlation for\n Long-Term Series Forecasting
Extending the forecasting time is a critical demand for real applications,\nsuch as extreme weather early warning and long-term energy consumption\nplanning. This paper studies ...
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
Video restoration tasks, including super-resolution, deblurring, etc, are drawing increasing attention in the computer vision community. A challenging benchmark named REDS is re...
Publication Info
- Year
- 2025
- Type
- article
- Citations
- 0
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.20944/preprints202512.0681.v1