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Modified inputs are not retrained models and may be out of distribution; this does not prove a new encoding improves a retrained model.", "elapsed_seconds": 5.520620107650757, "completed": true, "CUDA_initialized": false }, "limitations": [ "Only20TRAIN geometries and one seed", "Depth8to4 capacity control only; original inputs and uniform loss unchanged", "Half has515636 parameters,52.4615percent of982884; not exactly50percent", "Matched retained untrained weights: blocks0..2 and final7 mapped to3", "Spot input ablations use fixed original full-model weights on CPU, not retrained variants or half-model results" ], "publication": { "inference_weights_pending": false, "weights_pending": [], "snapshot_epochs": { "TS3": 6000, "TS3_HALF": 6000 } } }