IKS-AI National Conference 2026 — Academic Evaluation Access

Quantum Śūnyatā

Teaching Nagarjuna's Mūlamadhyamakakārikā with Generative AI and 3D WebGL

Conference Sub-Themes: (1) AI Reviving IKS · (2) Ethical AI from Wisdom · (3) Rescuing Ancient Texts

🔬 Research Mode — Under-the-Hood Transparency

Madhyamaka-GPT Instruction Architecture

// Phase 0: Mandatory Pre-Generation

{

"step_0_1": "MMK Structural Mapping (27-ch architecture)",

"step_0_2": "Śūnyatā Depth Check (emptiness/dependent-origination/two-truths)",

"step_0_3": "Prāsaṅgika Method Recognition (reductio|dilemma|regress|catuṣkoṭi)"

}

// Source Hierarchy (Tier 1 — Canonical)

PRIMARY: Garfield (1995) Fundamental Wisdom

XREF: Siderits & Katsura (2013)

AUTHORITY: Candrakīrti Prasannapadā (7th c)

// Gate 2: Scientific Integrity (must pass)

❌ No quantum woo / New Age mysticism

❌ No claim consciousness causes collapse

✅ Analogies explicitly labeled as structural only

RESONANCE Algorithm Scores (Showcase Verses)

88

/100

Superposition — v1.1

Logical possibility vs. physical simultaneity — structural analogy only.

91

/100

Bell's Theorem / Non-Locality — v1.10

Correlation without hidden variables ≠ metaphysical identity.

93

/100

Entanglement — v1.13

Non-separability of state ≠ Buddhist non-dualism.

90

/100

Measurement Problem — v1.8

Observer-object co-constitution is structural parallel only.

95

/100

Contextuality — v24.18

Context-dependence of value ≠ conventionalism.

87

/100

Decoherence — v1.9

Transformation without annihilation — not a proof of Buddhist cessation.

Paper Structure

Section 2

Abstract

LLM-driven Madhyamaka-GPT + ATOM 3D framework for teaching MMK to digital natives.

Section 3

Introduction

Challenges of teaching emptiness; role of AI and 3D pedagogy; research questions.

Section 4

System Architecture

Next.js 15, ThreePanelVerseViewer, React Three Fiber, Gemini AI, Whop SDK.

Section 5

Madhyamaka-GPT Design

10-phase instruction framework; source hierarchy; Gate 2 scientific guardrails; RESONANCE algorithm.

Section 6

Design-Based Research

Three iterative cycles; telemetry-driven refinement; quantitative and qualitative findings.

Section 7

Showcase Verse Analysis

Verses 1.1, 1.10, 1.13, and 24.18 as illustrative case studies.

Showcase Verses — Open Access

No Login Required

Alignment with Conference Sub-Themes

🇮🇳

1. Role of AI in Reviving IKS

Primary

27 chapters of MMK are presented with AI-scaffolded explanations, interactive 3D, gamification, and printable completion certificates. The project aims to preserve philosophical depth while increasing accessibility.

⚖️

2. Ethical AI from Wisdom

Primary

Madhyamaka-GPT operates under strict epistemological constraints: canonical source hierarchy, Gate 2 scientific integrity checks, explicit analogy labeling, and Research Mode transparency.

📜

3. Rescuing Ancient Texts with AI

Primary

Devanagari Sanskrit where available, IAST transliteration, Garfield & Siderits translations, and Candrakīrti-grounded commentary are being organized into an interactive learning environment for digital learners.

For Evaluators & Reviewers

All showcase verses are open (no login). Research Mode reveals the AI prompt architecture, RESONANCE scores, and ATOM 3D specifications used in the paper.

📚 Full conference paper: docs/paper.md · Platform: Nagarjuna Quantum Reflections v2.0 · Conference: IKS-AI National Conference, March 2026