MODEL ADOPTION #1082: REJECT — TG AUTO: BASE 44 ORDER: Implement 132 Hz resonance-tuned feedback loop with Cartan-boundar — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: DECISION: REJECT ELEMENT: The 132 Hz resonance-tuned feedback loop with Cartan-boundary mapping is not concrete enough for immediate adoption. The frequency "132 Hz" has no demonstrated causal link to E8 signal coherence in your existing GTX data; it is a numerological overlay, not a testable edge. The Cartan-boundary mapping concept is mathematically defined but lacks a specific, implementable threshold rule (e.g., "reject signal if Cartan norm < 0.73") that can be coded into the Replay Bench. Without a discrete, binary filter condition, this remains a speculative research artifact, not a production scalping rule. EXPECTED IMPACT: None — the proposal cannot be coded as a single precise rule. Any attempt to implement it would introduce undefined behavior, likely degrading win rate by adding latency (100-200ms) without a validated filter. RISK: Latency increase on 15s scalps would widen slippage, turning marginal winners into losers. Overfitting to an arbitrary frequency band coul Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7203630417
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