By: ValentinHirschi <valentin.hirschi@gmail.com>
differentiate active sampling coordinates with fixed prepared parameters Select ordered active columns in the existing eager/dual Jacobian evaluator. Pass statically zero identity seeds to Symbolica so unused prepared-only singular derivatives cannot contaminate valid map derivatives. Keep singular active derivatives as typed numerical failures and preserve physical evaluator behavior with empty masks. No second evaluator/cache or stored layout change. Validation: 71 native/eager/map/partition and physical dual-shape checks passed; saved-state acceptance passed (loaded amplitude and conditional-cut maps, ordinary integration and exact resume). Core/API Python-feature cargo checks, formatting, diff check and all-target clippy passed with no warnings in touched files; unrelated pre-existing warnings remain. gammaloop_state layout unchanged. The joint map and compact-support handling are still pending. User prompt: Just a status question—please continue your current orchestration unchanged: where does the joint two-normal density sit in the implementation sequence, and what prerequisites remain before you reach it? (direct-H focusing alone is not expected to bound the previously identified corner’s weights.)