Error with `rbind` when using different dataset (it works when using same data.frame)

library(rtables)
#> Loading required package: formatters
#> Loading required package: magrittr
#> 
#> Attaching package: 'rtables'
#> The following object is masked from 'package:utils':
#> 
#>     str
    library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
    tbl <- basic_table() %>%
        summarize_row_groups() %>% 
        build_table(starwars)
    tbl2 <- basic_table() %>%
        split_rows_by("vs") %>%
        analyze("cyl") %>%
        build_table(mtcars %>% mutate(vs = factor(vs)))
    rbind(tbl, tbl2)
#> Error in chk_compat_cinfos(x[[1]], xi): Column structures not compatible: 2nd column structure has non-matching, non-null column counts

^{Created on 2024-02-22 with reprex v2.1.0}

Similarly:

library(rtables)
#> Loading required package: formatters
#> Loading required package: magrittr
#> 
#> Attaching package: 'rtables'
#> The following object is masked from 'package:utils':
#> 
#>     str
  library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
  tbl <- basic_table() %>%
      build_table(mtcars)
  tbl2 <- basic_table() %>%
      split_rows_by("vs") %>%
      analyze("cyl") %>%
      build_table(mtcars %>% mutate(vs = factor(vs)))
  rbind(tbl, tbl2)
#> Error in (function (cond) : error in evaluating the argument 'x' in selecting a method for function 'toString': all(mapdf$row_num == rinfo$abs_rownumber) is not TRUE

^{Created on 2024-02-22 with reprex v2.1.0}

Reproduce both reported rbind examples from the issue, first comparing tables built from the same data.frame and then from different datasets. Start at rbind and trace the column-structure and row-number checks that produce the errors. Done means the intended behavior for compatible tables is established and the reported examples have regression coverage or a clearly confirmed limitation.