Papers

Zharnikov 2026a

Spectral Brand Theory: A Computational Framework for Multi-Dimensional Brand Perception

Introduces SBT: brands as multi-dimensional signal sources perceived through observer-specific spectral profiles. Validates across five brands, producing nine novel mechanisms including structural absence as strategy, five coherence types, the independence of brand power from brand health, and non-ergodic perception dynamics. 29 references.

SSRN Preprint / February 2026
Zharnikov 2026b

The Atom-Cloud-Fact Epistemological Pipeline: From Financial Document Processing to Brand Perception Modeling

Describes the domain-agnostic epistemological architecture underlying SBT. The three-stage atom-cloud-fact pipeline — originally developed for financial document reconciliation — transfers without modification to brand perception modeling, suggesting it captures a general structure of how knowledge forms from heterogeneous observations. 19 references.

Working Paper / February 2026

Validated Case Studies

Five brands spanning luxury, mass-market, mission-driven, technology, and hyperlocal niche. Each received a full six-module spectral audit. All five produced identical coherence type and grade when independently replicated by Gemini 3.1 Pro, confirming that results are framework-driven, not model-specific.

A+

Hermes — Ecosystem Coherence

D/A 60/35

Different observer cohorts perceive structurally different brands, yet their perceptions are functionally interdependent. The heritage client, the aspiration buyer, and the cultural observer each see a different Hermes — and each perception reinforces the others. Value creation through structural absence: designed restriction of economic, experiential, and social signals generates cross-dimensional amplification.

A-

IKEA — Signal Coherence

D/A 75/25

Consistent designed signals produce consistent perception across all cohorts. The democratic access model — affordable design, self-assembly ritual, consistent store experience — creates uniform cloud formation. Highest designed/ambient ratio in the study. Transmits disruption evenly: no cohort is immune, but none fractures independently.

B+

Patagonia — Identity Coherence

D/A 65/30

Strong ideological core filters cohort compatibility. Observers either accept Patagonia's environmental values and become loyal advocates, or reject them as performative and disengage entirely. The productive contradiction — "Don't Buy This Jacket" — strengthens the ideological signal precisely because it contradicts the economic dimension. Temporal defense: 50+ years of consistent values compound into unassailable heritage.

B-

Erewhon — Experiential Asymmetry

D/A 40/55

Extreme variance between observers with direct product experience (local wellness devotees with high experiential weight) and those with TikTok-mediated experience (social media observers with near-zero experiential weight). The same brand produces fundamentally different perception clouds based on encounter mode. Mediated cloud formation dominates: most perception is constructed from content, not contact.

C-

Tesla — Incoherent

D/A 30/65

Maximum emission power, minimum architectural health. Six irreconcilable perception clouds from the same signal environment. The tech loyalist, the environmental buyer, and the boycotter each hold stable convictions that contradict the others — and all are structurally justified. The brand health vs. brand power independence is most extreme here: Tesla is simultaneously one of the most powerful and most fractured brands in existence.

Cross-Model Validation

The analytical pipeline was executed independently by Claude Opus 4.6 (primary) and Gemini 3.1 Pro (replication) on all five brands. Results:

Brand Claude Gemini Convergence
HermesEcosystem, A+Ecosystem, A+Identical
IKEASignal, A-Signal, A-Identical
PatagoniaIdentity, B+Identity, B+Identical
ErewhonExp. Asymmetry, B-Exp. Asymmetry, B-Identical
TeslaIncoherent, C-Incoherent, C-Identical

Model-sensitive variations exist in cohort granularity (Claude identifies 5-6 cohorts, Gemini synthesizes 3) and D/A ratio estimates (within 10-15 percentage points). These variations do not affect the structural diagnosis. The framework acts as a structured lens that constrains analysis toward the same architectural findings regardless of which model holds the lens.