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Descriptive intervals on repeatedly used validation; no selection/multiple-comparison correction." }, "arithmetic_controls": [ { "pair": 11, "max_difference_to_fp64": 1.52587890625e-05, "prior_mlx_result_reproduced": true }, { "pair": 15, "max_difference_to_fp64": 1.52587890625e-05, "prior_mlx_result_reproduced": true } ], "audit": { "fitted_artifacts_replayed": 42, "prediction_replay_max_error": 0.0, "causal_prefix_max_error": 0.0, "native_case_executions": 50, "distinct_native_cases": 40, "identical_repeat_cases": 10, "native_controls_exact": true, "native_checkpoint_files_verified": 13, "original_mlx_baselines_reproduced": true }, "caveats": [ "Previous held-out passages used only for post-hoc endpoint diagnosis, not new independent confirmation.", "Output tests replace one pair at a time;62otherblocks andfinalnorm/head remain native, prefix states supplied fromnative reference.", "42fitted artifacts use floating arithmetic. No new HDC integer compilation, runtime payload or speed measurement.", "Wider nonlinear fits at ridge10 overfit; follow-up selects regularization by validation endpoint MSE.", "Original geometry control uses FP64 arithmetic; separate MLX FP32 controls reproduce earlier validation scores.", "All64frozen experiment unchanged." ], "artifact_sha256": { "PROTOCOL.json": "25ab281cdcefd9ed743ffe48deba5d6fe2e32d4172a6ad3be72beceb0288dde7", "capacity/PROTOCOL.json": "7d5a3729ec7d946385fa232a20dae8ea9ad13df9acb1d527c52a3c25f5a316d9", "predictors/PROTOCOL.json": "b659b2dd714ab56339d05ffa4032002b73e3da3c7c17443bcdc7d08894eb054c", "oracles/FROZEN.json": "f2802c0866a746bc80259d978517b3bc64dd1edda1f8f7de029c6fa39bc2df04", "regularization/PROTOCOL.json": "48fca96083c03d1c56092311eeea2561af9e1420b7a1a59a9f38b9eca57fabc1", "mlx_controls/FROZEN.json": "3aadc80fef366c751fbdf436585412fedba1be1292143d1cbfbc47e7d27c766a", "native_validation/PROTOCOL.json": "fb1308afda571a5ac0e99ad523fc8ced943f0bbb58b03c9322534aca73788286", "regularized_validation/PROTOCOL.json": "1ad4662b219780f878d62ec202b896f28dc46c1ae2b09a48ee93db239647b0bb", "DECOMPOSITION_COMPLETE.json": "123d9d178f9a515bcd8658c286686dc639ece865363d7906fac83e1238ec4d60", "capacity/COMPLETE.json": "d1281ffb798deab7063df22fafbee0e96c793135251c00f3102700cf9798f2bf", "predictors/FROZEN.json": "cf652ec07b7ee8eeb190c31b90763cc6aec702ba7ce18c38d377eb353e101a58", "regularization/FROZEN.json": "d3d65ab5a072146125ad877734428875789748384202e086bf748591749fba2e", "native_validation/COMPLETE.json": "6d18fccd9e3cd514a34651a4d844d06755cf52dad373b4efba923e0809d2f8b7", "regularized_validation/COMPLETE.json": "2d32305a34d8ba0b6f33ce8c7a3a0bb348e4ae45672122e1921cce42163eea47" }, "sources": { "fusion_subspace_diagnostic.py": "cfcc2a2cf92d5aca616f61a2056d66ce20ca21b7ef1c775151a9a8a5d6df9a5d", "fusion_capacity_diagnostic.py": "5403f99f6d3e6f66e0a7a2c5286243ad616e5aa61006735a33488180d299ead7", "fusion_predictor_diagnostic.py": "0dde93ed0f22e656307ea91170f9b029f94f42516b65ea5055ba171b54eb27a7", "fusion_oracle_prepare.py": "0de7cc1b1af353d0ba2cfc2b9a1304fa4f37722999e1897411b029c9b1f8d9b0", "fusion_regularization_diagnostic.py": "3f75f4c589e4a86a2d1093c30b55cfa00e58c3f7d7ab6ebdba98862005cafadb", "fusion_mlx_controls.py": "d00d7158eecb9e3243c42bd34e40f6ae891fb58dbde6d99a6e3fdceb07d423b3", "fusion_diagnostic_outputs.py": "5fa1391b0d6f14c5a470c4fd7e0a95e6e9b62751c7c343d86c807eff92483889", "fusion_regularized_outputs.py": "8313a9a014736ec4d8b85f19e210f43bc23e3def45e17b499dc08e66b53e149a", "fusion_diagnostic_report.py": "2eb9b5faa0d29c372d599475f0ecc1b19b5e42ce51843ec73b2523e5528b9f39", "test_fusion_subspace.py": "f110740ca5337cb72b46a03f65966ce367f04180355764b501f87d4ee94b8ce8" }, "native_checkpoint_receipt_sha256": "85cc84740973564a7aba7076ac835d5b23d0070811bce5c9da0517c35d60cc9e", "verified_report_sha256": "6120bea4e6a9ae2dbe706147cfd724e517f015f2efb11530f24ff201896caa59" }