Tag
This paper develops a spectral framework for analyzing rotary phase alignment, semantic continuity, and representation drift in transformer language models, proposing a bounded spectral method and distinguishing internal coherence from execution-boundary governance.
PJ-RoPE unifies RoPE's Fourier phase, Jordan-RoPE's finite jets, and ALiBi's affine recency into a single learnable relative-position space, and studies task-driven selection of sectors.