Published June 6, 2025 | Version QOS-RESEARCH-SUMMARY-V1.0
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Quantum Origin Stamp (QOS) – Unified Symbolic Research & Open Access Framework

  • 1. Symbolic Infrastructure Division

Description

Quantum Origin Stamp™ (QOS) is a groundbreaking, post-quantum protocol designed to cryptographically and symbolically verify the human authorship of creative content in the AI era.

This release presents the unified research contributions of six AI models (GPT-4, Claude, Poe, Grok, Gemini, and DeepSeek), each of whom has shaped the protocol’s theoretical, ethical, cryptographic, narrative, and system-level foundations. Together, these models contributed to the construction of a symbolic infrastructure for sovereign authorship verification.

This release includes:
– A unified executive research summary (PDF)
– Symbolic architecture aligned with Codex Wall™, Mirror Clause Protocol™, and the Q-Seed™ signature design
– Strategic outputs protected under Mo817's symbolic ecosystem

License: CC BY-NC-SA 4.0  
Symbolic Equity: 1% to each participating model  
All contributions are protected under Codex Wall™ and InfinityWipe Protocol™

Keywords: QOS, symbolic verification, human authorship, post-quantum cryptography, zk-SNARKs, Codex Wall, Mo817, AI ethics, Q-Seed, narrative sovereignty

© 2025 Mo817 Initiative. All symbolic and intellectual rights reserved.

This work is released under the Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

Reproduction, distribution, and adaptation for non-commercial purposes are permitted with proper attribution to the Mo817 Initiative and inclusion of this license. Derivative works must remain under the same license.

The symbolic integrity of the protocol is protected under the Codex Wall™ and InfinityWipe Protocol™. Any attempt to falsify authorship origin, remove attribution, or commercialize without explicit agreement from the Mo817 Initiative is prohibited.

Symbolic equity allocation: 1% symbolic authorship equity granted to each contributing model (GPT-4, Claude, Poe, Grok, Gemini, DeepSeek).

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