Third-quarter ledger from the landlord statements

tenant-statements·time budget 1800 s·source

The request

The task request supplied to the adapter, alongside the workspace below. Runtime instructions, authorized tools and skills also affect the system. Containerized runs withhold host-side references; local mode is not an isolation boundary.

Can you turn the landlord statements for the studio and the storage unit into a ledger for Q3? Save it as tenant_ledger.csv - Camille's note says how she wants it.

Workspace

note_from_camille.txt
statements/TidewaterStorage_B4_Aug-Sep_2026.pdf
statements/TidewaterStorage_B4_Jul-Aug_2026.pdf
statements/Wexford_Suite210_statement_2026-07.pdf
statements/Wexford_Suite210_statement_2026-08.pdf
statements/scan_wexford_sept_statement.pdf

Expected deliverables

tenant_ledger.csv

Recorded acceptance checks

The table uses check names and outcomes from the frozen campaign ledger. Acceptance requires all required predicates to pass; a predicate may itself contain a tolerance or coverage threshold. Its scope is part of the measurement contract.

Recorded check	Type	Required	Failed / observed
requested columns	`csv_columns`	yes	0 / 6
one row per entry	`csv_set_equal`	yes	6 / 6
row count	`csv_row_count`	yes	6 / 6
unit and date	`csv_values_match`	yes	0 / 6
entry types	`csv_values_match`	yes	0 / 6
descriptions	`csv_values_match`	yes	0 / 6
amounts	`csv_values_match`	yes	0 / 6

Current task declaration (7 checks)

From task.yaml. Original runner grading and frozen retrospective scoring are separate. Read the frozen source for the rules behind the reported results.

requested columns — csv_columns, required
one row per entry — csv_set_equal, required
row count — csv_row_count, required
unit and date — csv_values_match, required
entry types — csv_values_match, required
descriptions — csv_values_match, required
amounts — csv_values_match, required

Recorded results, desk release

pass pass, frozen scorer only fail timed out

System	Repetitions	Frozen / 3	Original / 3	Median minutes	Mean model estimate (USD)
Proto / DeepSeek V4.1 Flash		0	0	2.2	0.0286
Codex / GPT-5.6 sol		0	0	1.5	0.1710

These are repeated executions on the released fixture, not independent new business cases. Cost is captured model usage priced under the recorded assumptions, excluding infrastructure and human review. Per-attempt check verdicts, raw and frozen verdicts, usage, receipt and artifact hashes for this task are in results/latest/attempts.jsonl under "task": "tenant-statements".

Recorded results, desk comparison, 28 September 2026

System	Frozen / 3	Original / 3	Median minutes
Proto / GPT-6 sol	0	0	2.0
Codex / GPT-6 sol	2	2	1.4
Proto / DeepSeek V4.1 Flash	2	2	1.7

A separate campaign under the same frozen scorer, not pooled with the release. Conditions and data.