This paper aggregates validation status of the NPF/CNI framework. It distinguishes protocol validation (FEN, CDF, auto‑reject) from weight‑structure validation (simulation‑only, 77% confidence), states limitations upfront, and provides implementation guidance for researchers, policymakers, and AI safety. A forward‑looking research agenda outlines next steps: field trials, cross‑cultural calibration, neuroimaging, and intervention studies.

Cognitive contagion formalises how entrenched reasoning patterns spread between humans and AI. This paper introduces the transmission coefficient β_NPF (exposure × susceptibility × content potency), analyses contagion dynamics (human→AI, AI→human, reinforcing loops), and explores societal vectors like algorithmic entrenchment. Case studies include vaccine misinformation and financial market fragility. The model is a hypothesis awaiting validation.

The Composite NPF Index (CNI) extends the Neural Pathway Fallacy to belief networks, quantifying systemic epistemic risk. This paper presents the CNI formula (weighted sum with normalised weights), normalisation methods (linear, sigmoid with cultural parametrisation), sampling adequacy, and a gradient‑descent weight update (hypothesis). It introduces the neurodiversity provision (autistic resistance to high‑SE NPFs) and positions CNI within the Fractal Entailment Network (FEN

The Neural Pathway Fallacy (NPF) is a formal neurocognitive hypothesis: repeated poor reasoning habits physically entrench flawed neural circuits. This paper presents the NPF formula (six cognitive factors, logarithmic time/exposure modifiers), its neurobiological grounding, and a threshold‑based intervention framework. It positions NPF within the ESA architecture and includes a falsifiability box.