This section serves to clarify the authorship model, methodological structure, and use of advanced tooling in the development of TraplessPKE. It reflects a deliberate commitment to transparency, ethical authorship, and the evolving realities of modern independent research.
TraplessPKE was authored and architected by Wai Yip, WONG. The system’s high-level structure, cryptographic goals, design philosophy, and novel hardness assumptions (e.g., Selector Dual Inversion with Hidden Filtering — SD-SIHF) were created and directed entirely by the author. All conceptual framing, operational models, and design intent originated from human reasoning, not from machine generation.
The author’s role encompassed:
This is fundamentally distinct from tool-assisted derivation. The system exists because the author created it, not because a model filled a blank page.
The development of TraplessPKE employed large language models (LLMs), including ChatGPT, as multi-role assistants — similar in function to human research staff within academic or industrial labs.
AI tools were used to:
This use of tooling mirrors how large research teams employ mathematicians, physicists, software engineers, and technical writers. The difference is scale — not legitimacy.
At no point were generative tools the source of system architecture or conceptual invention. All high-level decisions were made by the author, and all work reflects their original framing.
The author does not claim to have personally derived or internally memorized every mathematical transformation, proof trace, or symbolic nuance used in TraplessPKE. Instead, the author verified alignment between intended cryptographic structure and the symbolic expressions produced via tool-assisted construction.
This is the same practical stance taken by principal investigators, startup founders, or systems architects — who lead designs but delegate fine-grained derivation to collaborators. When deeper technical questions arise, the author is committed to engaging in good faith and transparently revisiting derivation steps as needed.
This clarification is offered not as a disclaimer, but as a model of transparent authorship in the age of AI-accelerated research. It rejects the false binary between “did everything yourself” vs. “AI wrote it for you.”
Instead, it affirms a third path: human-directed system invention with the support of powerful computational collaborators — used ethically, and always under the authorship of the one who led.
If questions of detail emerge, the appropriate answer may be:
“This symbolic path was constructed with tool assistance, under my direction. I can trace the logic with time, and I welcome technical review.”
This is not a sign of weakness — it is a sign of truthful authorship in an evolving research landscape.
TraplessPKE was not created by AI. It was created by a person — with vision, judgment, and a defined security philosophy. AI tools helped carry the load. But authorship belongs where direction, structure, and invention originated: with Wai Yip, WONG.