Segfault / PanicException with pl.lit + .slice in a group by context

[cmdlineluser]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import polars as pl

pl.DataFrame({'idx': [1, 2, 3]}).group_by(True).agg(
    x = pl.lit([1, 2]).slice(-1, 1)
)

Log output

No response

Issue description

Found while trying to repro #17198 (not sure if it is the same underlying issue).

The provided example flips between PanicException: capacity overflow and segfaulting.

If a pl.Series is used inside the .lit call the result is a non-deterministic junk value:

pl.DataFrame({'idx': [1, 2, 3]}).group_by(True).agg(
    x = pl.lit(pl.Series([1, 2])).slice(-1, 1)
)

# shape: (1, 2)
# ┌─────────┬───────────────────────┐
# │ literal ┆ x                     │
# │ ---     ┆ ---                   │
# │ bool    ┆ list[i64]             │
# ╞═════════╪═══════════════════════╡
# │ true    ┆ [7310875413193069794] │
# └─────────┴───────────────────────┘

Expected behavior

No error.

Installed versions

--------Version info---------
Polars:               1.0.0-rc.2
Index type:           UInt32
Platform:             macOS-13.6.1-arm64-arm-64bit
Python:               3.12.2 (main, Feb  6 2024, 20:19:44) [Clang 15.0.0 (clang-1500.1.0.2.5)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          <not installed>
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               <not installed>
gevent:               <not installed>
great_tables:         <not installed>
hvplot:               <not installed>
matplotlib:           <not installed>
nest_asyncio:         <not installed>
numpy:                1.26.4
openpyxl:             <not installed>
pandas:               2.2.1
pyarrow:              15.0.2
pydantic:             <not installed>
pyiceberg:            <not installed>
sqlalchemy:           <not installed>
torch:                <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>