aiXiv:2502.002

The Rails: SolveEverything Implementation (10-gear framework)

Chengshuai Yang
NextGen PlatformAI C Corp (integrityyang@gmail.com)
cs.SE cs.AI
Submitted
February 2026
Paper ID
aiXiv:2502.002
Abstract

The SolveEverything abundance engine is implemented through a 10-gear framework that provides systematic infrastructure for addressing complex problems across computational imaging and beyond. This paper presents the Rails: a concrete instantiation of the SolveEverything.org framework adapted for the Physics World Model (PWM). The 10 gears are: (1) Targeting System (LIP-Arena: Leaderboard for Imaging Physics), (2) Outcome Contracts, (3) Compute Escrow, (4) Action Networks, (5) Data Trusts, (6) Decision Logs (DR-IS), (7) Two-Source Rule, (8) Compute + Energy, (9) Fairness Targets, and (10) Literacy. Together, these gears establish maturity levels (L0-L5) and an industrial stack spanning 9 layers for reproducible, transparent, and scalable scientific and engineering practice. We demonstrate deployment across computational imaging with validated templates spanning 168 modalities. The Rails framework enables systematic evaluation, calibration, and deployment of imaging systems from research to production.

Keywords: Computational imaging, Infrastructure, Evaluation protocol, Benchmarking, Physics world model
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