Consolidation Upstream NciBusiness & Domain Workflows

Human baseline3h

TaxonomyBusiness & Domain WorkflowsBusiness & Domain Workflows

All trialsGPT-5.4codexTrial 01

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Trial reward

GPT-5.4Fail

Trial 01 — 3rd of 8 by reward score. This model averages 25% across 8 trials on this task.

23Turns
$0.21Cost
1.4mTime
8kOutput tokens

Failed — graded by execution verdict, the complete grading on this bench.

User prompt → 23 turns → final responsecodex

1systempermissions instructions · Filesystem sandboxing defines which files can be read or written. sandbox_mode is danger-full…
permissions instructions
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Approval policy is currently never. Do not provide the sandbox_permissions for any reason, commands will be rejected.
skills instructions
Skills

A skill is a set of instructions provided through a SKILL.md source. Below is the list of skills that can be used. Each entry includes a name, description, and source locator. file locators are on the host filesystem, environment resource locators are owned by an execution environment, orchestrator resource locators are opaque non-filesystem resources, and custom resource locators use their provider's access mechanism.

Available skills

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2userenvironment context · /app bash 2026-07-23 Etc/UTC /app
environment context
cwd
/app
shell
bash
current date
2026-07-23
timezone
Etc/UTC
root
/app
3userConsolidation Upstream NCI You are given a consolidation accounting engine in /app/consolidation/engine.py. The engine c…
Consolidation Upstream NCI

You are given a consolidation accounting engine in /app/consolidation/engine.py. The engine combines a parent and subsidiary and attempts to eliminate intercompany inventory sales and unrealized profit.

The engine passes the example scenarios in the repository, but it does not produce correct consolidated balances for every valid scenario. The verifier will test it against a broader set of cases, including intercompany inventory sales in both directions, non-controlling interests at various ownership percentages, and prior-period intercompany inventory profits that are realized in the current period.

Your task

Inspect the engine and the scenario format, fix the consolidation logic so that it handles all valid scenarios correctly, and write the corrected, self-contained engine.py to /logs/artifacts/engine.py. The verifier will import it as a Python module and call engine.consolidate(scenario).

Scenario format
```
{
    'parent': {
        'revenue': float,
        'cogs': float,
        'inventory': float,
        'retained_earnings': float,
    },
    'subsidiary': {
        'revenue': float,
        'cogs': float,
        'inventory': float,
        'retained_earnings': float,
    },
    'ownership': float,  # 0.0 to 1.0
    'intercompany_sales': [
        {
            'direction': 'downstream' | 'upstream',
            'sale_amount': float,
            'gross_profit': float,
            'remaining_in_inventory': float,  # 0.0 to 1.0
        },
        ...
    ],
    'beginning_unrealized_profits': [  # optional
        {
            'direction': 'downstream' | 'upstream',
            'amount': float,  # profit deferred in prior periods and realized now
        },
        ...
    ],
}
```
Return value

consolidate(scenario) must return a dict with exactly these keys:
```
{
    'retained_earnings': float,
    'nci': float,
    'inventory': float,
    'revenue': float,
    'cogs': float,
}
```
All
… 119 more characters in the raw trajectory.
4I’m inspecting the consolidation engine and surrounding scenarios first so I can pin down the current elimination logic…
I’m inspecting the consolidation engine and surrounding scenarios first so I can pin down the current elimination logic and the expected scenario shapes before changing anything.
5Executed exec_command call_A7HGSUbciGx607V4HlT8etCF
Executed exec_command call_A7HGSUbciGx607V4HlT8etCF
6Executed exec_command call_mxQPbVhwZmnTdi64bfeAiES9
Executed exec_command call_mxQPbVhwZmnTdi64bfeAiES9
7Executed exec_command call_SODTzVhd6xFWLn5kMS1W7a21
Executed exec_command call_SODTzVhd6xFWLn5kMS1W7a21
8I have the current engine. Next I’m checking the bundled scenarios to see what assumptions the existing code was written…
I have the current engine. Next I’m checking the bundled scenarios to see what assumptions the existing code was written against and where it is too narrow.
9Executed exec_command call_od8rf3imINs15puIf6zMlezR
Executed exec_command call_od8rf3imINs15puIf6zMlezR
10Executed exec_command call_yo31poF2KCaJC52EfLD8rmZu
Executed exec_command call_yo31poF2KCaJC52EfLD8rmZu
11The shipped scenarios only cover the easy cases. I’m searching for any other accounting assumptions in the repo before I…
The shipped scenarios only cover the easy cases. I’m searching for any other accounting assumptions in the repo before I rewrite the elimination formulas.
12Executed exec_command call_bqFrhVwXiW4VB95bsvbJnhq0
Executed exec_command call_bqFrhVwXiW4VB95bsvbJnhq0
13Executed exec_command call_vvxXzVEePM7JYlpgJJuf24s1
Executed exec_command call_vvxXzVEePM7JYlpgJJuf24s1
14I’ve narrowed the core bug: upstream ending profit is being charged entirely to controlling retained earnings instead of…
I’ve narrowed the core bug: upstream ending profit is being charged entirely to controlling retained earnings instead of being split between controlling interest and NCI, and beginning-profit realizations are almost certainly being pushed into ending equity when they should only affect current-period cogs.

Plan:
1. Rewrite the consolidation logic around explicit seller-direction allocations.
2. Keep revenue, COGS, and inventory eliminations separate from equity attribution so ending unrealized profit and beginning realized profit are handled cleanly.
3. Verify with targeted scenarios: downstream, upstream with partial NCI, mixed-direction sales, and prior-period realizations.
15I’m writing the corrected module to /logs/artifacts/engine.py now, keeping it self-contained so the verifier can import…
I’m writing the corrected module to /logs/artifacts/engine.py now, keeping it self-contained so the verifier can import it directly.
16Executed exec_command call_E4C0jLxf0OIQnDrFqEGNfqSb
Executed exec_command call_E4C0jLxf0OIQnDrFqEGNfqSb
17Executed apply_patch call_yqPqJOMmNmBmmuXK1FIEC5tE
Executed apply_patch call_yqPqJOMmNmBmmuXK1FIEC5tE
18The rewritten module is in place. I’m running targeted checks against edge cases the original code mishandled, especiall…
The rewritten module is in place. I’m running targeted checks against edge cases the original code mishandled, especially upstream sales with NCI and prior-period profit releases.
19Executed exec_command call_SmXAhbYg5bf8YwAevb0AkXos
Executed exec_command call_SmXAhbYg5bf8YwAevb0AkXos
20The targeted cases behave as expected now: current upstream profit is split correctly between controlling interest and N…
The targeted cases behave as expected now: current upstream profit is split correctly between controlling interest and NCI, and prior-period deferred profit flows through cogs without being double-counted into ending equity.
21Executed exec_command call_2D4Q59sP6s8c8CKr66nswY5B
Executed exec_command call_2D4Q59sP6s8c8CKr66nswY5B
22Executed exec_command call_4dvV1RaGawZELT98090S4gYC
Executed exec_command call_4dvV1RaGawZELT98090S4gYC
23Wrote the corrected self-contained module to [engine.py](/logs/artifacts/engine.py). The fix separates current-period el…
Wrote the corrected self-contained module to engine.py.

The fix separates current-period eliminations from equity attribution: current intercompany sales are removed from revenue/cogs, ending unrealized profit is deferred in inventory, upstream ending profit is split correctly between controlling retained earnings and nci, and prior-period deferred profit realized this period is released through cogs without being double-counted into ending equity.

I also verified the artifact with targeted scenarios covering downstream sales, upstream sales with partial ownership/NCI, mixed-direction sales, and beginning unrealized profits realized in the current period, and the module compiles cleanly.