graphs/*.json | Layer-truncated {7,3} tilings (L=1..6) and square/triangular lattice disks: node coordinates (Poincare disk / plane), edge list, boundary nodes (face incidence) |
dtn/*.npz | Dirichlet-to-Neumann map Lambda (unit conductances) for graphs with N <= 900 |
conditioning.csv | log10 condition number of the DtN sensitivity Jacobian; empty and numerically_singular_float64=True where float64 cannot resolve it |
probe_matched.csv | DtN and Neumann-to-Dirichlet conditioning, full vs subsampled boundary |
exact_rank.csv | Exact Jacobian ranks over GF(p) for two primes; deficiency vs number of unmeasured degree-2 nodes; condition number on the identifiable subspace |
exact_rank_full_boundary.csv | Exact full-boundary Jacobian ranks over GF(p), two primes: full-rank certificates |
conditioning_arb.csv | (v1.1) log10 condition number in 512-bit ball arithmetic for the float64-singular flat lattices, with certified radii and the two unsaturated controls |
disorder.csv | (v1.1) log10 kappa (log-parametrised and raw Jacobian) under U[0.5,1.5] and log-uniform [0.1,10] conductances (5 seeds) and x100 / x0.01 defects |
subspace_control.csv | (v1.1) probe-matched dimensionality control: square lattice sigma1/sigmar vs hyperbolic identifiable-subspace kappa |
tda_defect.csv | (post-v1.1, not in the paper) persistent homology (Gudhi) of the boundary resistance metric with and without a bulk defect, vs a global-disorder null. The null was mis-sized; see TDA_RESULTS.md |
tda_noise.csv | (post-v1.1, not in the paper) defect detection vs measurement-noise level (eps_max), metric and H1 detectors |
localize_defect.csv | (post-v1.1, not in the paper) single-node defect localisation from two noisy NtD maps (oracle-dictionary matched filter); 60/60 cells perfect at noise 3e-4, so it is a ceiling, not a measurement of the failure boundary |
tilings_kappa.csv | (post-v1.1, not in the paper) log10 condition number for (7, 3), (8, 3), (5, 4), (6, 4), (4, 5) at L=1..6, with d_max and float64 error bounds (Gram-matrix method, controls in the repository) |
localize_tolerance.csv | (post-v1.1, not in the paper) localisation top-1 on random boards with component tolerance 0.1 %, 1 %, 5 % and an ideal-model decoder; tolerance has no effect in this differential setting |
localize_noise.csv | (post-v1.1, not in the paper) localisation top-1 vs noise level and eps_loc (largest noise with top-1 >= 0.9) at the deepest node, contrasts x1.25 and x2 |
tolerance_null.csv | (post-v1.1, not in the paper) defect detection vs component tolerance (0.1 %, 1 %, 5 %), model-based and differential regimes; only the extreme x100 contrast is tested |
exact_rank_tilings.csv | (v1.2) exact full-column-rank certificates (random row-combination method, two primes) for 11 instances of {7,3}, {8,3}, {5,4}, {6,4}, {4,5} up to E = 1604 |
rc_benchmark_tilings.csv | (v1.2) RC relaxation time, stiffness and the K1/K2 integrator controls (SciPy BDF and rusty-SUNDIALS CVODE) on {7,3} L=2, {8,3} L=2, {5,4} L=3, {6,4} L=2, {4,5} L=4 |
minimum_contrast.csv | (v1.2) localisation top-1 vs true contrast (x0.5 to x2) and noise (1e-4 to 3e-3) at the deepest node of four lattices; both geometries localise +-10 % at the 3e-4 budget |
hardware_noise.csv | (v1.2) localisation top-1 under common-mode offset, gain drift and ADC quantisation at N~112, contrast x2; a floor (49/50 cells at 1.00), not a failure boundary |
coherence_depth.csv | (v1.2) per edge depth and instance: exhaustive abs-cosine statistics between Jacobian columns of equal-depth edges and the effective dimension fraction (participation ratio / count) of their normalised Gram matrix |
coherence_matched.csv | (v1.2) per depth on the largest instance of each family: log10 kappa of the Jacobian restricted to columns of depth <= d, the full-class effective dimension fraction and the six-column matched-size median of 50 draws |
coherence_mechanism_test.csv | (v1.2) test of the band-counting argument on unseen instances ({7,3} L=5, {4,5} L=7, square R=16, triangular R=10.75): effective dimension fraction and depth-restricted log10 kappa per depth |
flat_rate_windows.csv | (v1.2, exploratory) growth rate of the depth-restricted log10 kappa over windows fixed in relative depth on square R=6..22 and triangular R=3.2..17.2, with per-class effective dimension fraction and smallest normalised-Gram eigenvalue |
spectral_gap.csv | Dirichlet spectral gap, RC relaxation time and stiffness; exploratory=True rows were not preregistered |
interior_degree.json | Integer check that interior nodes of the {7,3} truncations have degree 3, and that the interior of GL is G(L-1) (coordinates and edge sets) |
integrator_controls.csv | K1 (matrix-exponential known answer) and K2 (steady state = DtN column) controls per integrator; rows with status other than run were not executed |
rc_step_response.csv | Reference (matrix-exponential) RC step response V_i(t), C=1, on {7,3} L=2 and square R=6 |
