"Assigned data orig_rows" error when tuning multinom_reg(engine = "nnet")

[simonpcouch]

library(tidymodels)

model <- 
  multinom_reg(penalty = tune()) %>%
  set_engine("nnet") %>%
  set_mode("classification")

set.seed(1)
res <- tune_grid(
  workflow(class ~ ., model),
  vfold_cv(sim_classification(1000)),
  grid = 3
)
#> → A | error:   Assigned data `orig_rows` must be compatible with existing data.
#>                ✖ Existing data has 1 row.
#>                ✖ Assigned data has 100 rows.
#>                ℹ Row updates require a list value. Do you need `list()` or `as.list()`?
#>                Caused by error in `vectbl_recycle_rhs_rows()`:
#>                ! Can't recycle input of size 100 to size 1.
#> There were issues with some computations   A: x1
#> There were issues with some computations   A: x24
#> There were issues with some computations   A: x30
#> 
#> Warning: All models failed. Run `show_notes(.Last.tune.result)` for more
#> information.

# just to demonstrate this is engine-specific...
set.seed(1)
res <- tune_grid(
  workflow(class ~ ., set_engine(model, "glmnet")),
  vfold_cv(sim_classification(1000)),
  grid = 3
)

^{Created on 2025-01-13 with reprex v2.1.1}

Filing here for now, but may ultimately live more cozily in parsnip. I see this with both CRAN and dev tune + CRAN and dev parsnip.

Possibly related/duplicate of #592. The wording of the error message has changed but the underlying cause might be the same.

[simonpcouch]

FWIW, there are no NAs in this reprex's example data.