By: Nic Fink <n.fink@bluewin.ch>
Improve sample and campaign panels; fix checkpoint recovery stalls - Distinguish complex norm and absolute component means, and calculate RSD and ESS from the weighted training projection, including legacy snapshots. - Reorder sample results and plots, expose raw integrand and gammaloop Jacobian values, and add scientific formatting and full-precision points. - Reorganize campaign panels and add sortable, numbered sub-runs with absolute component estimates, their uncertainties, and relative errors. - Normalize checkpoint JSON numbers before recovery comparison so large Jacobians cannot trigger endless activation retries; retain conflict guards. - Exclude expired worker leases from lifecycle counts and distinguish initializing samplers from active samplers in campaign sub-run status. - Add regression coverage, operational documentation, and the campaign 55 investigation with read-only diagnostic queries. Validation: 296 library tests, 30 PostgreSQL integration tests, campaign recovery after sampler and evaluator loss, and Clippy with warnings denied.