Research-table dictionary
All files are UTF-8 JSON Lines. Each line is one record. Every configuration uses the split label train as a Hub convention; no row is designated an ML training example. Numerical examples are synthetic and dimensionless. The ten tables contain 1,165 rows in total.
Shared provenance fields
row_id: unique identifier within its configuration.source_file: path to the authoritative raw JSON file within the repository.source_pointer: RFC6901 JSON Pointer to the source record or value. The empty string points to the whole source document. Exported rows can include adjacent source fields as described below.
docs/HF_TABLES_MANIFEST.json records each table's path, count, and column names. No null is imputed during conversion.
claims — 30 rows
id, status, statement, hypotheses, evidence, limits, and worldwide_novelty_confirmed preserve the claim registry. Lists remain lists of strings. Status distinguishes conditional proof, existing methods, numerical evidence, proposed experiments, and unestablished goals. A claim row is not evidence by itself; read its referenced proof and source data.
reliability_bounds — 8 rows
radius, kappa, diffusion, and T specify the centered planar OU example. diffusion is the actual coefficient d in dZ=-kappa Z dt+sqrt(2d)dB, not an unmultiplied strand coefficient before applying pair covariance. beta=kappa*radius^2/(2d) is the dimensionless barrier.
endpoint_lower bounds continuous exit from below. v5_direct_upper and v5_block_upper are old model certificate values; they are not device failure measurements. poisson_upper, laplace_upper, additive_upper, and upper are evaluated analytic upper bounds; upper takes the smallest implemented candidate. laplace_s and laplace_log_upper retain the transform optimization parameters. mean_exit_time is the mean-exit identity evaluated numerically.
pde_exit_estimate, pde_exit_resolved, and pde_cells expose the 800-cell numerical survival result. If unresolved, the estimate is null. All numerical upper-bound decimal evaluations use floating arithmetic, not outward-rounded interval evaluation.
grid_refinement — 32 rows
Each example has four cell counts: 100,200,400,800. exit_estimate is a finite-volume estimate; exit_resolved marks whether it exceeds the declared numerical-resolution threshold. mean_relative_error and laplace_relative_error compare the spatial solver with independent analytic mean and transform calculations.
sampled_monitoring — 5 rows
All rows describe nested observation grids on the same 30,000 paths. stride*fine_dt is observation_interval. detected_exits, sampled_exit_rate, and Wilson interval limits concern sampled crossings, not continuous first exits. continuous_pde_estimate is a separate numerical comparison. same_nested_paths is true and continuous_monitoring is false. The seed is 20261013; no full trajectory array is included.
clearance_design — 65 rows
T, kappa, diffusion, error_budget, and events specify the design policy. poisson_radius and v5_direct_radius are two sufficient radii, not hardware optima. Event independence is not assumed by the union budget.
graph_budget — 1,000 rows
Each allocation_index identifies a saved variance outcome from the seeded allocation generator. nodes, gain_budget, kappa, and noise_covariance_q0 describe the fixed linear covariance model. worst_pair_stationary_variance is the random allocation result. proved_uniform_optimum and computed_uniform_value give the symmetric reference.
edge_gains_recorded is false: no full gain vector was saved in the raw file. The seeded code can reproduce the random allocations; the table itself cannot reconstruct an allocation from its scalar variance. The source uses seed 62291, n=8, G=4, kappa=1, q0=2. Gain budget is not calibrated physical power.
quantum_holonomy — 7 rows
A=|alpha|^2, fock_dimension, and phase_steps specify the ideal cat-code calculation. mean_n_even and mean_n_odd are photon means. ideal_relative_phase_radians, phase_defect_from_pi_radians, overlap_quadrature_relative_phase_radians, and wrapped_absolute_quadrature_error compare the ideal formula and overlap quadrature.
parity_jump_rate_even_per_kappa1 and parity_jump_rate_odd_per_kappa1 flatten the source two-element jump-rate vector. They are parity-jump diagnostics, not logical-error rates after recovery. Every row assumes ideal adiabatic code transport; no global dissipative gap is certified.
quantum_cutoff — 5 rows
The fields retain the truncated-state boundary residual, direct floating residual, Poisson tail, minimum computed jump singular value, log absolute determinant, and exact kernel dimension. common_jump_eigenvalue_real and common_jump_eigenvalue_imag are the real and imaginary parts of the jump's common eigenvalue. The source pair is not two distinct eigenvalues.
exact_kernel_dimension=0 is the finite nilpotent-cutoff algebraic statement when the constant polynomial term is nonzero. It does not describe the infinite oscillator's dark-state dimension. A small numerical singular value is near-dark behavior, not an exact zero eigenvalue.
stationary_averaging — 12 rows
lambda, T, and theta are the positive scalar OU spectral rate, averaging horizon, and noise parameter. closed_form_variance and independent_quadrature_variance calculate the stationary time-average variance; relative_difference records their agreement. Stationary preparation is an assumption, not a measured hardware condition.
calibration_coverage — 1 aggregate row
repetitions=5000, scalar_innovations_per_repetition=40, and the model parameters describe the exact Gaussian calibration experiment. covered=4758 and empirical_coverage=0.9516 report the one-sided confidence procedure's coverage. wilson_95_low and wilson_95_high describe Monte Carlo uncertainty in that coverage. Known kappa and exact uncensored observations are essential assumptions. The individual innovation arrays are not included.