Training installs a depth-dependent spectral gradient and low-rank bottleneck in LLM residual streams whose amplification or suppression of graph communities is predicted by local operator type.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Regularization of Fourier multipliers yields L^∞ stability for wave propagation and compact operator inversion in inverse problems.
citing papers explorer
-
Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology
Training installs a depth-dependent spectral gradient and low-rank bottleneck in LLM residual streams whose amplification or suppression of graph communities is predicted by local operator type.
-
On $L^\infty$ stability for wave propagation and for linear inverse problems
Regularization of Fourier multipliers yields L^∞ stability for wave propagation and compact operator inversion in inverse problems.