| { |
| "paper": { |
| "id": "Xg12D1Y4H1", |
| "title": "Scalable Bayesian Inference for Nonlinear Conservation Laws", |
| "arxiv_id": "2605.31127", |
| "version": 1, |
| "pdf_sha256": "20f385c9da8f1449891164372e5fa0efe6afce9687754223a43902bd80c2a1f1", |
| "source_sha256": "86302b8afeaf6f59578302dbeb5ad467197c1ad287989283d73aa7bd5210b497" |
| }, |
| "official_code": { |
| "repository": "https://github.com/timweiland/GPFiniteVolume.jl", |
| "commit": "d711fbb68ec74755ef4029301472dfe8e23622de", |
| "tree": "c41a87185cb5c5a7df0edf36fc7458a503c47018", |
| "project_sha256": "83cee925d3a9acebffeb609e3e1eccc6386bb038981a22c871839bf5f5a9bbd2", |
| "manifest_sha256": "9d2bccfc8c3ba756879380a6943efe6deb320a552b7589a4ff1c50b68d9e6e21", |
| "functional_gps_commit": "43a58a63f9dd4f09916d6f91a307ca15eee5a7bf" |
| }, |
| "native_environment": { |
| "julia": "1.10.10", |
| "execution_platform": "Apple host CPU", |
| "manifest_instantiated_exactly": true, |
| "upstream_tests": "8/8 passed" |
| }, |
| "key_files": { |
| "official_code/experiments/source_identification/run_gpfvm.jl": "bcc11143b39a5969f782860b03bc29eb18527660d3cb577b1c8f9beb7d91a046", |
| "official_code/experiments/poisson_convergence.jl": "6393f03a686035cb53a7b56e30a4c0f6b252411f90e827c308153a55fae730d1", |
| "official_code/experiments/sparsity_accuracy_experiment.jl": "4ab2a0e27c32cfe85fc298ae9d8009a4e3192dce67158dcf7ee3bf9ebc3ba27d", |
| "outputs/source_identification_input.npz": "502f3464cb65d147ee7d56859aa0483afcd879898eb8dd3dca9cb504df3b26df", |
| "outputs/source_identification_native_result.npz": "f8d7b5ed3f294c5237081f3f3b3f227852e7e99b24f23f169fdfc19a268e1177" |
| }, |
| "scope": "The package contains the complete pinned official source tree, complete arXiv-v1 PDF/source archive, source-native paper-scale outputs, and deterministic independent reanalysis. It does not include or claim an execution of the unreleased JAX PINN baseline." |
| } |
|
|
