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authorYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 18:25:49 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 18:25:49 -0500
commit2b4581723d0c5ed562528fac6b0a789adf95e3c5 (patch)
tree1a632390bcb385fd93c06b182b4cfb2fe31caa73 /results
parentdaa0cb53cad483903f1f89a3d7d692bdc00d9827 (diff)
paper v2.31.8: Appendix I EP random-target ‖h_L‖ values from saved JSON
Appendix I claimed EP random-target ‖h_L‖ "≈586 at 5 ep" and "≈2,085 at 100 ep" without a saved-JSON source. Re-measured on the saved checkpoints with consistent methodology (model.eval(), n=2048 test median), giving 557 (5 ep) and 2151 (100 ep). The ~5% discrepancy is likely model.train() vs model.eval() LN-batch-stats; the new values are reproducible. Saved results/ep_random_h_L_summary.json as the source of truth. The "26× smaller than DFA's 14,510 at 3 ep" comparison still holds (was "25×"; updated to "26×" with the new EP values). The fixed-feedback vs energy-based separation conclusion is unchanged. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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diff --git a/results/ep_random_h_L_summary.json b/results/ep_random_h_L_summary.json
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+{
+ "EP_random_5ep": {
+ "h_L_median": 556.95361328125,
+ "h_L_mean": 554.086181640625
+ },
+ "EP_random_100ep": {
+ "h_L_median": 2151.283935546875,
+ "h_L_mean": 2126.281982421875
+ }
+} \ No newline at end of file