Research publications on Spectral Brand Theory (SBT), a computational framework for modeling brand perception as an observer-mediated, multi-dimensional process.
| Paper | Words | Refs | Zenodo DOI | Status |
|---|---|---|---|---|
| Spectral Brand Theory: A Computational Framework for Multi-Dimensional Brand Perception | ~6,400 | 37 | 10.5281/zenodo.18945912 | Preprint |
| The Atom-Cloud-Fact Epistemological Pipeline | ~4,100 | 19 | 10.5281/zenodo.18944770 | Preprint |
Eight companion papers establishing formal mathematical foundations for SBT:
| Key | Paper | Zenodo DOI | Status |
|---|---|---|---|
| 2026l | The Rendering Problem: From Genetic Expression to Brand Perception | 10.5281/zenodo.19064427 | Preprint |
Key results: formal metric (R1), metamerism inevitability (R2), fuzzy cohort boundaries (R3), positioning capacity bounds (R4), specification impossibility (R5), non-ergodic dynamics (R6), demand-driven resource allocation (R7).
R7 formalizes spectral resource allocation — optimal dimensional investment given measured cohort weights, alignment gap between founder and cohort profiles.
Introduces the full SBT framework: eight perceptual dimensions, observer spectral profiles, cloud formation and conviction collapse, and the seven-metric coherence scorecard. Validated across five brands (Hermes, IKEA, Patagonia, Tesla, Erewhon). Reports nine candidate mechanisms: structural absence (dark signals), five-type coherence taxonomy, asymmetric conviction resilience, brand power/health independence, D/A ratio optimum, temporal compounding, mediated cloud formation, evidence-free conviction stability, and cross-weight barrier penetration.
Keywords: brand perception, computational branding, observer heterogeneity, brand coherence, structural absence, AI-native framework
Describes the domain-agnostic epistemological architecture underlying SBT. Originally developed for probabilistic financial fact extraction, the atom-cloud-fact pipeline provides the formal machinery for observation-to-knowledge progression. Documents the architecture, its seven principles, and the domain transfer from financial document processing to brand perception modeling.
Keywords: epistemology, probabilistic knowledge, atom-cloud-fact, domain transfer, computational framework
Proposes the Rendering Problem as a unifying structural pattern across biological and social systems: a specification (DNA, organizational schema, brand signal) is never directly perceived — it is rendered through an implementation layer, and perception is always of the rendering, not the specification. Documents three instantiations (genetic expression, organizational execution, brand perception), formalizes the structural specification gap at each transition, and argues that the gap is irreducible in principle. Connects SBT, OST, and the body-as-metadata thesis under a single formal architecture.
Keywords: rendering problem, specification gap, brand perception, genetic expression, organizational schema, cross-framework synthesis
@article{zharnikov2026sbt,
title={Spectral Brand Theory: A Computational Framework for
Multi-Dimensional Brand Perception},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945912},
doi={10.5281/zenodo.18945912}
}
@article{zharnikov2026acf,
title={The Atom-Cloud-Fact Epistemological Pipeline: From Financial
Document Processing to Brand Perception Modeling},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18944770},
doi={10.5281/zenodo.18944770}
}
@article{zharnikov2026r0,
title={Geometric approaches to brand perception: A critical survey
and research agenda},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945217},
doi={10.5281/zenodo.18945217}
}
@article{zharnikov2026r1,
title={Brand space geometry: A formal metric for multi-dimensional
brand perception},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945295},
doi={10.5281/zenodo.18945295}
}
@article{zharnikov2026r2,
title={Spectral metamerism in brand perception: Projection bounds
from high-dimensional geometry},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945352},
doi={10.5281/zenodo.18945352}
}
@article{zharnikov2026r3,
title={Cohort boundaries in high-dimensional perception space:
A concentration of measure analysis},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945477},
doi={10.5281/zenodo.18945477}
}
@article{zharnikov2026r4,
title={How many brands can a market hold? Sphere packing bounds
for multi-dimensional positioning},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945522},
doi={10.5281/zenodo.18945522}
}
@article{zharnikov2026r5,
title={Specification impossibility in organizational design:
A high-dimensional geometric analysis},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945591},
doi={10.5281/zenodo.18945591}
}
@article{zharnikov2026r6,
title={Non-ergodic brand perception: Diffusion dynamics on
multi-dimensional perceptual manifolds},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.18945659},
doi={10.5281/zenodo.18945659}
}
@article{zharnikov2026r7,
title={Spectral resource allocation: Demand-driven investment in
multi-dimensional brand space},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.19009268},
doi={10.5281/zenodo.19009268}
}
@article{zharnikov2026rendering,
title={The Rendering Problem: From Genetic Expression to Brand Perception},
author={Zharnikov, Dmitry},
year={2026},
url={https://doi.org/10.5281/zenodo.19064427},
doi={10.5281/zenodo.19064427}
}Machine-readable citations: SBT CITATION.cff | ACF CITATION.cff | R0 CITATION.cff | R1 CITATION.cff | R2 CITATION.cff | R3 CITATION.cff | R4 CITATION.cff | R5 CITATION.cff | R6 CITATION.cff | R7 CITATION.cff | Rendering Problem CITATION.cff
| Repository | Description |
|---|---|
| sbt-framework | AI-native brand analysis toolkit — 7-module prompt kit with YAML templates |
| brand-code | Executable brand identity specification — spectral palette, particle system source, AI-readable prompt |
| Substack | Applied analysis articles on brand perception |
Dmitry Zharnikov — dmitry@spectralbranding.com
Brand strategist and computational framework designer. Creator of Spectral Brand Theory, an AI-native approach to modeling how brands form in the observer's mind. Background in financial systems engineering and applied epistemology.
All papers are released under MIT License. Use, cite, and build upon this work freely with attribution.
"Spectral Brand Theory" and "Brand Code" are trademarks of Dmitry Zharnikov. The MIT license applies to the source code and text only and does not grant permission to use the project trademarks. You may cite, reference, and build upon this work freely, but derivative works should not use these names in ways that imply endorsement or official affiliation.