lifecycle::last_lifecycle_warnings() seems incompatible with dplyr warning handler

[DavisVaughan]

i.e. it tells you to run the lifecycle function, but there is no warning there:

library(dplyr, warn.conflicts = FALSE)
rlang::local_interactive()

df <- tibble(x = 1)

mutate(df, across(x, mean, na.rm = TRUE))
#> Warning: There was 1 warning in `mutate()`.
#> ℹ In argument: `across(x, mean, na.rm = TRUE)`.
#> Caused by warning:
#> ! The `...` argument of `across()` is deprecated as of dplyr 1.1.0.
#> Supply arguments directly to `.fns` through an anonymous function instead.
#> 
#>   # Previously
#>   across(a:b, mean, na.rm = TRUE)
#> 
#>   # Now
#>   across(a:b, \(x) mean(x, na.rm = TRUE))
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
#> generated.
#> # A tibble: 1 × 1
#>       x
#>   <dbl>
#> 1     1

lifecycle::last_lifecycle_warnings()
#> list()

dplyr::last_dplyr_warnings()
#> [[1]]
#> <warning/rlang_warning>
#> Warning in `mutate()`:
#> ℹ In argument: `across(x, mean, na.rm = TRUE)`.
#> Caused by warning:
#> ! The `...` argument of `across()` is deprecated as of dplyr 1.1.0.
#> Supply arguments directly to `.fns` through an anonymous function instead.
#> 
#>   # Previously
#>   across(a:b, mean, na.rm = TRUE)
#> 
#>   # Now
#>   across(a:b, \(x) mean(x, na.rm = TRUE))
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
#> generated.
#> ---
#> Backtrace:
#>     ▆
#>  1. ├─dplyr::mutate(df, across(x, mean, na.rm = TRUE))
#>  2. ├─dplyr:::mutate.data.frame(df, across(x, mean, na.rm = TRUE)) at dplyr/R/mutate.R:146:3
#>  3. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by) at dplyr/R/mutate.R:181:3
#>  4. │   ├─base::withCallingHandlers(...) at dplyr/R/mutate.R:268:3
#>  5. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns) at dplyr/R/mutate.R:273:7
#>  6. │     └─mask$eval_all_mutate(quo) at dplyr/R/mutate.R:380:9
#>  7. │       └─dplyr (local) eval() at dplyr/R/data-mask.R:94:7
#>  8. └─dplyr::across(x, mean, na.rm = TRUE)

^{Created on 2023-11-03 with reprex v2.0.2}