AINeutralarXiv – CS AI · Jun 96/10
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The Cross-Architecture Substrate: A Domain-Transcendent, Calibration-Surviving Geometric Invariant of Modern Vision Encoders
Researchers discovered that thirteen different vision neural networks, despite being trained for distinct tasks (classification, contrast learning, image-text matching), converge on the same sixteen-dimensional geometric structure called the 'cross-architecture substrate.' This invariant structure persists across multiple visual domains and survives calibration testing, suggesting a universal representational principle in modern vision encoders that could enable new transfer learning and distillation techniques.