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SabaPivot/repro-continuous-variable-hamiltonian-learning-at-heisenberg-limit-via-displacement-random-unita

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Six D-RUT coefficient-recovery certificates

This frozen, unpublished package audits all six operative anchored claims for Continuous Variable Hamiltonian Learning at Heisenberg Limit via Displacement-Random Unitary Transformation (tiF3tA5pau, arXiv 2510.08419v2). The conservative prerelease forecast is 12/12; that is not an official score.

The CPU evidence covers inverse-time coefficient-error scaling, first-quantized basis recovery, the explicit SPAM perturbation bound, hierarchy-versus-simultaneous covariance, squeezing-parameter bisection, and Chebyshev/Fourier reconstruction. Eight destructive controls are executed. The official fifth claim cites the public v1 bisection construction; both v1 and current v2 sources are pinned and this version drift is disclosed throughout.

bash

CUDA_VISIBLE_DEVICES='' PYTORCH_ENABLE_MPS_FALLBACK=0 \
  OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 \
  python reproduction/run_tests.py

Future artifact Bucket: https://huggingface.co/buckets/neonforestmist/bosonic-hamiltonian-d-rut-repro-artifacts

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