The reference-solution half covered only the e2e, train and verification-stress corpora, so three committed corpora with the same tasks/ layout carried no evidence that any attempt can score: a grader that can never pass is indistinguishable from a task with no solution, and a corpus of those teaches that nothing is ever accepted. Their pristine seeds already fail, checked across all eleven tasks, so this adds the reference solutions the guard needs: one ANSWER.md each for the three fleet tasks, and the non-positive-skipping calc.py the eight project-check graders assert. The e2e suite stays the single declared exception, named in the skip. Refs #11852.
fanout-width
A one-task suite for measuring what running a fan-out's members at the same time is worth, against a serialised arm where the same graph runs one member at a time.
It lives outside benchmarks/e2e for the same reason upstream-edge does: the
prompt fixes the graph shape, which the shared corpus deliberately never does.
This measures what the concurrency bought given a fan-out, not how often a
model reaches for one.
The three research items share nothing, so nothing but the scheduler decides whether they overlap. Serialising them needs no ablation flag — the session concurrency ceiling already does it:
go run ./cmd/e2ebench -suite benchmarks/fanout-width -bin <reasonix> -json wide.json
# then, with max_subagent_concurrency = 1 in the arm's config:
go run ./cmd/e2ebench -suite benchmarks/fanout-width -bin <reasonix> -json serial.json
go run ./cmd/e2ebench -mode compare wide.json serial.json
Read the Fan-out section: the wide arm should report work well above wall (members overlapped) and near-zero slot wait, the serial arm work equal to wall and a slot wait that accounts for the difference. Both must still solve the task — a concurrency win that costs accuracy is not a win.