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Define empirical and theoretical C6 tuning analyses - #61

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franciscoeacosta merged 2 commits into
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split/c6-tuning-definitions
Aug 20, 2026
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Define empirical and theoretical C6 tuning analyses#61
franciscoeacosta merged 2 commits into
mainfrom
split/c6-tuning-definitions

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Summary

  • separate empirical trajectory, exhaustive all-pairs, and exhaustive local-arrival tuning definitions
  • batch selected-unit calculations and cache expensive empirical sufficient statistics
  • verify factorization averages, batching, masking, and cache behavior

Test plan

  • pytest test/test_discrete_se2_experiment.py -q
  • ruff check src/analysis test/test_discrete_se2_experiment.py

Made with Cursor

Separate trajectory-conditioned, exhaustive all-pairs, and local-arrival tuning while batching selected units and caching expensive empirical estimates.

Co-authored-by: Cursor <cursoragent@cursor.com>
Base automatically changed from split/c6-experiment-workflow to main August 20, 2026 18:55
Keep both constructed-analysis cache artifacts and relocated trained-network notebook outputs ignored after integrating the merged prerequisite branches.

Co-authored-by: Cursor <cursoragent@cursor.com>
@franciscoeacosta
franciscoeacosta merged commit 4b8e12e into main Aug 20, 2026
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@franciscoeacosta
franciscoeacosta deleted the split/c6-tuning-definitions branch August 20, 2026 19:14
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