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Initial upload: papers on proxy optimization, evaluation, and AI alignment
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Dataset Summary

This repository contains a set of conceptual and structural documents focused on alignment in AI systems and decision processes.

The materials are intended for:

  • researchers exploring evaluation beyond benchmarks
  • practitioners working with AI systems in production environments
  • anyone dealing with metric-driven or proxy-based systems

Intended Use

These documents are not training data or labeled datasets.

They are intended as:

  • conceptual references
  • evaluation frameworks
  • system design heuristics

Limitations

These are not empirical studies or benchmark results.

They do not provide quantitative validation, but instead focus on structural patterns and failure modes observed across systems.