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variance-decomposition

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End-to-End Python implementation of the Mesoscopic Structural Risk-Navigation System from Shao, Yang & Zhang (2026). Estimates rolling QVAR models, extracts multiscale network backbones via Disparity Filter, enumerates 13 directed triadic motifs (30 node orbits), and optimizes a Minimum Structural Similarity Portfolio.

  • Updated May 2, 2026
  • Jupyter Notebook

A diagnostic control paradigm for activation measurements in transformer language models. Cross-replay separates text-bound from architecture-bound components by replaying generated sequences through intact and perturbed model variants.

  • Updated May 17, 2026
  • Jupyter Notebook

Code, configurations, per-run metadata, and pre-registered analysis for a 204-run study decomposing held-out loss variance in federated LoRA fine-tuning into partition-draw, interaction, and training-seed components (FedIT, FFA-LoRA, FLoRA; TinyLlama-1.1B, LLaMA-3.2-3B).

  • Updated Oct 9, 2026
  • TeX

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