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Tasks:
Other
Formats:
json
Languages:
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Tags:
photonic-computing
recursive-self-improvement
statistical-experiments
blackwell-order
information-preservation
gaussian-readout
| { | |
| "status": "PASS", | |
| "paths": 20000, | |
| "seed": 71037, | |
| "steps": 120, | |
| "moment_checks": 12, | |
| "gamma": 1.55, | |
| "old_asymptotic_mse": 0.006944444444444445, | |
| "new_asymptotic_mse": 0.004480286738351254, | |
| "checks": [ | |
| { | |
| "step": 1, | |
| "design": "old", | |
| "exact_expected_mse": 0.5721, | |
| "empirical_mse": 0.5721257409409016, | |
| "monte_carlo_standard_error": 0.00037798751810606335, | |
| "z_discrepancy": 0.06809997597421268 | |
| }, | |
| { | |
| "step": 1, | |
| "design": "reinvested", | |
| "exact_expected_mse": 0.5712129032258065, | |
| "empirical_mse": 0.571231817185749, | |
| "monte_carlo_standard_error": 0.0003034889446257537, | |
| "z_discrepancy": 0.06232174277646858 | |
| }, | |
| { | |
| "step": 5, | |
| "design": "old", | |
| "exact_expected_mse": 0.10176181273600006, | |
| "empirical_mse": 0.10143675318173787, | |
| "monte_carlo_standard_error": 0.00024672748106688573, | |
| "z_discrepancy": 1.317484184804178 | |
| }, | |
| { | |
| "step": 5, | |
| "design": "reinvested", | |
| "exact_expected_mse": 0.09956224194890329, | |
| "empirical_mse": 0.09929757216988219, | |
| "monte_carlo_standard_error": 0.00019717284397655476, | |
| "z_discrepancy": 1.342323687599515 | |
| }, | |
| { | |
| "step": 10, | |
| "design": "old", | |
| "exact_expected_mse": 0.01712538184206992, | |
| "empirical_mse": 0.016946170911971488, | |
| "monte_carlo_standard_error": 9.570400476801216e-05, | |
| "z_discrepancy": 1.8725541374453576 | |
| }, | |
| { | |
| "step": 10, | |
| "design": "reinvested", | |
| "exact_expected_mse": 0.014689633940077704, | |
| "empirical_mse": 0.014553717283727244, | |
| "monte_carlo_standard_error": 7.353019806698887e-05, | |
| "z_discrepancy": 1.8484467596107186 | |
| }, | |
| { | |
| "step": 30, | |
| "design": "old", | |
| "exact_expected_mse": 0.00694579772314567, | |
| "empirical_mse": 0.0069583089362296475, | |
| "monte_carlo_standard_error": 4.965822518626531e-05, | |
| "z_discrepancy": 0.2519464406359357 | |
| }, | |
| { | |
| "step": 30, | |
| "design": "reinvested", | |
| "exact_expected_mse": 0.004481643793363177, | |
| "empirical_mse": 0.004489616274519852, | |
| "monte_carlo_standard_error": 3.203944510465887e-05, | |
| "z_discrepancy": 0.24883330939823836 | |
| }, | |
| { | |
| "step": 60, | |
| "design": "old", | |
| "exact_expected_mse": 0.006944444446518338, | |
| "empirical_mse": 0.006883983107604973, | |
| "monte_carlo_standard_error": 4.8744287257956794e-05, | |
| "z_discrepancy": 1.2403779461047577 | |
| }, | |
| { | |
| "step": 60, | |
| "design": "reinvested", | |
| "exact_expected_mse": 0.004480286740430935, | |
| "empirical_mse": 0.004441278898381988, | |
| "monte_carlo_standard_error": 3.144792166061923e-05, | |
| "z_discrepancy": 1.2403949128948446 | |
| }, | |
| { | |
| "step": 120, | |
| "design": "old", | |
| "exact_expected_mse": 0.006944444444444445, | |
| "empirical_mse": 0.006981443884194567, | |
| "monte_carlo_standard_error": 4.943752816817516e-05, | |
| "z_discrepancy": 0.7484079629600076 | |
| }, | |
| { | |
| "step": 120, | |
| "design": "reinvested", | |
| "exact_expected_mse": 0.004480286738351254, | |
| "empirical_mse": 0.004504157344641827, | |
| "monte_carlo_standard_error": 3.1895179463343226e-05, | |
| "z_discrepancy": 0.7484079629652859 | |
| } | |
| ], | |
| "scope": "Linear Gaussian modal coefficient SGD; no neural benchmark or hardware" | |
| } | |