[BUG] Crossover fails with "A numerical error was encountered" on large LP (reproducible 2/2)

Describe the bug

On a large LP (7.2M rows × 2.27M cols, 14.3M nnz), enabling crossover after a
method=1 (PDLP) solve fails reproducibly with a numerical error late in the
crossover phase:

• Run 1: completes all 51,561 dual pushes, then aborts around push ~53.8k
  of 101,781 primal pushes, after 2 h 32 min total —
  Crossover status A numerical error was encountered., termination status 6,
  nan primal/dual objectives.
• Run 2 (same structure, different variable bounds): completes all 44,975
  dual pushes, then the same error during the primal pushes, after 2 h 50 min.

The PDLP phase itself converges fine on both runs (relative gap ~1e-4 / 1e-5
in ~9 min on the GPU). The crossover phase runs single-threaded on CPU at
~100 % of one core with the GPU idle, which makes the failure expensive to
discover: ~2.5 h of compute before the nan.

Steps/Code to reproduce bug

settings = SolverSettings()
settings.set_parameter("time_limit", 14400)
settings.set_parameter("method", 1)        # PDLP
settings.set_parameter("crossover", 1)
solution = Solve(data_model, settings)     # LP: 7.2M rows x 2.27M cols, 14.3M nnz
# -> "Crossover status A numerical error was encountered.", status 6, nan objectives

Happy to share full solver logs. (The instance itself is large; I can try to
provide it or a reproducer on request.)

Expected behavior

Either a successful crossover to a basic solution, or a structured/early
failure — ideally with a partial-progress diagnostic (e.g. remaining primal
infeasibilities) instead of nan objectives after ~2.5 h of pushes.

Environment details

• cuOpt version: 26.04.000 (git d9b7c96a)
• Install method: Docker, nvidia/cuopt:latest-cuda12.9-py3.13
• CUDA 12.9, driver-side GPU: NVIDIA GeForce RTX 3060 (12 GB)
• CPU: AMD Ryzen 5 8500G (6C/12T), 31 GB RAM
• OS: Ubuntu, kernel 6.8