Oct 22 10 days ago 04:47 Add diffusion-model ensembles (2D L=128, 3D L=64) and README section Adds the diffusion-model ensembles of arXiv:2607.08505 at kappa=0.2705 (2D, L=128) and kappa=0.1923 (3D, L=64): networks trained at the target L, networks trained only at smaller L, and the two exact MALA refinements of the 3D L<=32 ensemble. Arrays are float32 in (N, L, ..., L) order. The README gains a section with file list, support filter and observables. Oct 17 15 days ago 05:56 README: define M in Observables, drop tau_int(E) column (#4 ) - README: define M in Observables, drop tau_int(E) column (1cb747660be6d6301b7d3ee218c74b4e4e047823) 05:54 README: magnetisation notation M, explicit action formula, autocorrelation table with M, |M|, S, E (#3 ) - README: magnetisation notation M, explicit action formula, autocorrelation table with M, |M|, S, E (15dea2fa7f1484e253a565c9ebe06a07752fd12a) 05:40 README: observables as in arXiv:2607.08505, autocorrelation table, citation (#2 ) - README: observables as in arXiv:2607.08505, autocorrelation table, citation (f66ff6595b3d4f76014d892c93736b4feddf4745) 05:31 README: concise version with physical quantities, repo name phi4-generative (#1 ) - README: concise version with physical quantities, repo name phi4-generative (c762306490c3d46184080840f2f9ea8ad19cc643) 05:24 README: add 3D kappa=0.1923 lambda=0.9 L=16..128 ensembles 05:23 Add files using upload-large-folder tool Oct 16 16 days ago 16:11 Regenerate all four ensembles with WolffFAHMC_ND.jl, every 5th iteration stored so configurations are independent; update README 15:03 README: drop sampler details, add download instructions 14:59 Add 2D near-critical configurations, kappa=0.2705 lambda=0.022, L=16..128 14:58 initial commit 
