experiments/postbenchmark_optimizations/README.md

Post-benchmark optimization branch

final_two_optimizations_ARCHIVE.py is the exact recovered source supplied after the frozen six-dataset P=100 -> top-10 benchmark was produced.

It is preserved for provenance, not used to generate RESULTS_FINAL_6DATASETS.md. Its original one-off scale harness imported eval_scale_rag and opt_two_variants from an experiment working directory; those two transient modules did not survive as standalone files. The reusable/frozen benchmark implementation is therefore the package code in geomretrieval/, especially geomretrieval/rag_top10.py, plus the runners in experiments/beir/ and the full-scale scripts in experiments/msmarco_scale/.

The recovered optimization branch introduced:

1. O(K) generation-stamp aggregation instead of np.unique sorting.
2. A pre-lexical tail gate min(route_docs, max(10000, 40*P)).
3. Query-conditioned 16-coordinate residual-code sign matching with default weight wcode=0.25.

Recorded post-benchmark outputs are stored in results/final_100_to_10/nq_two_optimizations_merged.json and hotpotqa_two_optimizations_merged.json.