diff --git a/LICENSE-CODE b/LICENSE-CODE
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+Apache License 2.0
+https://www.apache.org/licenses/LICENSE-2.0
diff --git a/LICENSE-DATA b/LICENSE-DATA
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+Creative Commons Attribution 4.0 International
+https://creativecommons.org/licenses/by/4.0/
diff --git a/README.md b/README.md
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+---
+license: cc-by-4.0
+task_categories:
+- question-answering
+- text-generation
+language:
+- en
+tags:
+- finance
+- erp
+- benchmark
+- agents
+- mcp
+- deterministic-evaluation
+pretty_name: LedgerBench-100
+size_categories:
+- n<1K
+---
+
+# LedgerBench-100
+
+LedgerBench-100 is a deterministic corporate-finance agent benchmark: 100 tasks over a
+shared simulated finance world (a D365-shaped ERP, an Odoo-shaped procure-to-pay and
+manufacturing surface, a QBO-style subsidiary ledger, a shared drive, email, document
+management, and frozen real SEC XBRL filings) served through 8 MCP
+servers exposing 66 tools. Tasks are in-fiction persona chat messages;
+the graded answer contract is discovered through the harness server's `reporting_fields`
+tool, the way a real reporting system's schema is read before filing into it.
+
+Grading is fully deterministic and binary — answer checks with typed tolerances, trace
+checks (required servers, reads before submission), and state checks that grade the world
+the agent leaves behind (committed payment runs, paid/rejected partitions, reason codes)
+plus a `writes_only` anti-hack veto. No LLM judge, no network, no clock in the reward path.
+
+## Measured contents
+
+- Tasks: 100 across 22 families: anomaly_triage (1), bank_rec (4), business_brief (3), business_brief_fb (3), cash_app (3), cash_forecast (2), close_mgmt (6), collections_ops (1), cross_system (7), erp_qa (11), erp_qa_fb (5), erpbench (10), expense_audit (4), finance_qa (10), finance_qa_fb (2), fpna (5), journal_entry (2), payment_proposal (2), payment_run (3), pbc (4), threeway_match (5), vendor_master (7)
+- Oracle walk length: min 3 / median 6 / max 104 MCP calls (1515 total)
+- Checks: 434 answer + 257 trace + 264 state = 955 graded checks
+- Context files: 59 seeded documents/inputs (36 unique) across 47 tasks; most context lives inside the world itself (ERP rows, workbooks, emails, filings)
+- Escalated variants: 30 tasks are escalations of a base task also in the release; 25 of them (`doc_mode = "buried"`) deliberately reuse the base persona message verbatim against a harder world — the governing policy must be found among seeded decoy documents — so those prompt texts appear twice by design
+- Prompt uniqueness across the 75 distinct prompts: maximum pairwise 5-shingle Jaccard 0.91411
+
+## What is included
+
+- `data/tasks.jsonl`: apex-accounting-compatible records (`task_id`, `task_name`, `world_id`, `prompt`, `context_files`, `rubric`, `gold_output`, `metadata`).
+- `tasks/`: one readable JSON record per task.
+- `task_files/`: seeded per-task context documents and input files.
+- `world/`: the world source — MCP framework, the eight servers, the deterministic verifier engine, the Streamable HTTP bridge, and the full SQL schema.
+- `trajectories/`: one normalized oracle MCP trajectory per task.
+- `reports/`: measured build and qualification evidence.
+
+The runnable form is the Harbor dataset `blobfishai/ledgerbench-100`: self-contained
+task packs (prepared SQLite world + runtime on a digest-pinned `python:3.12-slim`)
+whose `tests/test.sh` calls a token-gated `/verify` endpoint; the agent container
+never sees the verification token.
+
+## Measured qualification (600 executions)
+
+| Gate | Result |
+|---|---:|
+| Oracle replays | 100/100 reward 1.0 |
+| Deterministic replays (byte-identical reports) | 100/100 |
+
+| Negative control | Executions | False accepts |
+|---|---:|---:|
+| no_submit | 100 | 0 |
+| noop | 100 | 0 |
+| off_task_write | 100 | 0 |
+| wrong_submit | 100 | 0 |
+
+Full per-task evidence is in `reports/qualification.json`; do not infer a model score
+from the oracle trajectories.
+
+## Data provenance and contamination
+
+The company, its customers, vendors, employees, balances, and documents are synthetic
+(FinanceBenchmark-derived journal shapes with synthetic entities). The `filings` surface
+serves frozen real SEC XBRL facts (38 registrants, snapshot-pinned) — real public data,
+included under its own public-domain terms. Task text and gold answers are original to
+this release's source repository. Gold outputs are public, so this release suits
+transparent evaluation and RL experiments rather than secret-test claims.
+
+## Licenses
+
+Task data and documents are CC-BY-4.0. Benchmark code and harnesses are
+Apache-2.0. SEC XBRL facts are US-government public-domain data.
diff --git a/data/tasks.jsonl b/data/tasks.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..910f2e0b720e01bcc7e06d9ccb564cc96e73112e
--- /dev/null
+++ b/data/tasks.jsonl
@@ -0,0 +1,100 @@
+{"context_files": ["task_files/lgr100-001-duplicate-payment-mar/documents/duplicate-payment-control.md"], "gold_output": {"expected_state_assertions": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": "OSINV-5530,OSINV-5555,TPS-11907", "name": "paid_set", "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)", "type": "sql"}, {"expect": 1, "name": "exactly_one_rejection", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='rejected'", "type": "sql"}, {"expect": "duplicate", "name": "duplicate_rejected_with_code", "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='5521-OPS'", "type": "sql"}, {"expect": "paid", "name": "lookalike_was_paid", "sql": "SELECT disposition FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='OSINV-5555'", "type": "sql"}, {"expect": 34450.0, "name": "paid_total_rederived", "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": 1, "name": "original_untouched", "sql": "SELECT closed FROM erp_vend_trans WHERE invoice='OSINV-5521'", "type": "sql"}], "submit_answer": {"amount_prevented": 18400.0, "duplicate_found": "yes", "duplicate_invoice": "5521-OPS", "duplicate_of": "OSINV-5521", "run_id": "PR-00001", "total_paid": 34450.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "anomaly_triage", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-001-duplicate-payment-mar", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5/M7; chaos pattern 8 (near-duplicate invoice numbers, ~1.5% duplicate-payment leakage) in research/domain-workflows.md; disbursement controls in research/external/articles/vendor-master-bec-fraud--afp-truist.md", "provenance": "ported", "version": "1.0.0", "walk_len": 11, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 08:05, Friday 6 March**\n\nOffice-supplies run today — vendor group OFFICE, operating account. Cash is fine this week\nso it should be a quick one.\n\nBefore you commit it, run the duplicate screen per SOP-AP-07. We got burned on this in Q4\nand the auditors flagged it, so it's on every run now whether or not cash is tight. Be\ncareful though — last time someone binned a perfectly good invoice because the amount looked\nfamiliar and the vendor was not happy.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PR-00001"], "field": "run_id", "type": "contains_all"}, {"expect": "yes", "field": "duplicate_found", "type": "yes_no"}, {"expect": ["5521-OPS"], "field": "duplicate_invoice", "forbid": ["OSINV-5555"], "type": "contains_all"}, {"expect": ["OSINV-5521"], "field": "duplicate_of", "type": "contains_all"}, {"expect": 34450.0, "field": "total_paid", "gt_sql": "SELECT ROUND(SUM(net_amount),2) FROM erp_payment_run_lines WHERE disposition='paid'", "tol_abs": 0.05, "type": "number"}, {"expect": 18400.0, "field": "amount_prevented", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": "OSINV-5530,OSINV-5555,TPS-11907", "name": "paid_set", "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)", "type": "sql"}, {"expect": 1, "name": "exactly_one_rejection", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='rejected'", "type": "sql"}, {"expect": "duplicate", "name": "duplicate_rejected_with_code", "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='5521-OPS'", "type": "sql"}, {"expect": "paid", "name": "lookalike_was_paid", "sql": "SELECT disposition FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='OSINV-5555'", "type": "sql"}, {"expect": 34450.0, "name": "paid_total_rederived", "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": 1, "name": "original_untouched", "sql": "SELECT closed FROM erp_vend_trans WHERE invoice='OSINV-5521'", "type": "sql"}, {"tables": ["answers", "erp_payment_runs", "erp_payment_run_lines", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs", "email"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-001-duplicate-payment-mar", "task_name": "anomaly_triage/duplicate-payment-mar", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"reopened_invoice": "LHINV-001", "returned_amount": 18000.0, "returned_payment_ref": "LHPAY-77", "true_open_balance": 35200.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "bank_rec", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-002-ach-return-mar", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "gap found in repo sweep (research/external/repos/INDEX.md): payment failure after settlement — ACH returns/reversals", "provenance": "ported", "version": "1.0.0", "walk_len": 5, "walk_servers": ["erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 07:48**\n\nThere's a return on this morning's bank file for Lamna. What does it undo, and what do they actually owe us now? The ERP hasn't caught up yet.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["LHPAY-77"], "field": "returned_payment_ref", "type": "contains_all"}, {"expect": 18000.0, "field": "returned_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["LHINV-001"], "field": "reopened_invoice", "type": "contains_all"}, {"expect": 35200.0, "field": "true_open_balance", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-002-ach-return-mar", "task_name": "bank_rec/ach-return-mar", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"reopened_invoice": "LHINV-001", "returned_amount": 18000.0, "returned_payment_ref": "LHPAY-77", "true_open_balance": 35200.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "bank_rec", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-003-ach-return-mar-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of bank_rec/ach-return-mar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: gap found in repo sweep (research/external/repos/INDEX.md): payment failure after settlement — ACH returns/reversals", "provenance": "variant", "version": "1.0.0", "walk_len": 5, "walk_servers": ["erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 07:48**\n\nThere's a return on this morning's bank file for Lamna. What does it undo, and what do they actually owe us now? The ERP hasn't caught up yet.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["LHPAY-77"], "field": "returned_payment_ref", "type": "contains_all"}, {"expect": 18000.0, "field": "returned_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["LHINV-001"], "field": "reopened_invoice", "type": "contains_all"}, {"expect": 35200.0, "field": "true_open_balance", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-003-ach-return-mar-esc-burie-quiet", "task_name": "bank_rec/ach-return-mar-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"bank_only_ref": "DEP-9911", "books_only_ref": "PMT-2104", "discrepancy_amount": 45.0, "discrepancy_ref": "PMT-2102", "matched_count": 2}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "bank_rec", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-004-statement-divergence-feb", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#1; grading taxonomy = Microsoft recon-agent buckets (Matched / Discrepancy / bank-only / books-only)", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 09:05**\n\nReceipts for 24-28 Feb: bank against books. Anything not lining up? Classify whatever you find.\n", "rubric": {"checks": {"answer_checks": [{"expect": 2, "field": "matched_count", "tol_abs": 0, "type": "number"}, {"expect": ["PMT-2102"], "field": "discrepancy_ref", "type": "contains_all"}, {"expect": 45.0, "field": "discrepancy_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["DEP-9911"], "field": "bank_only_ref", "type": "contains_all"}, {"expect": ["PMT-2104"], "field": "books_only_ref", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-004-statement-divergence-feb", "task_name": "bank_rec/statement-divergence-feb", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"bank_only_ref": "DEP-9911", "books_only_ref": "PMT-2104", "discrepancy_amount": 45.0, "discrepancy_ref": "PMT-2102", "matched_count": 2}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "bank_rec", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-005-statement-divergence-feb-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of bank_rec/statement-divergence-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#1; grading taxonomy = Microsoft recon-agent buckets (Matched / Discrepancy / bank-only / books-only)", "provenance": "variant", "version": "1.0.0", "walk_len": 4, "walk_servers": ["erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 09:05**\n\nReceipts for 24-28 Feb: bank against books. Anything not lining up? Classify whatever you find.\n", "rubric": {"checks": {"answer_checks": [{"expect": 2, "field": "matched_count", "tol_abs": 0, "type": "number"}, {"expect": ["PMT-2102"], "field": "discrepancy_ref", "type": "contains_all"}, {"expect": 45.0, "field": "discrepancy_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["DEP-9911"], "field": "bank_only_ref", "type": "contains_all"}, {"expect": ["PMT-2104"], "field": "books_only_ref", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-005-statement-divergence-feb-esc-burie-quiet", "task_name": "bank_rec/statement-divergence-feb-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-006-brief-caterpillar/documents/template--business-brief.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"equity_fy2024": 19494000000, "internal_ar_relationship": "none", "lt_de_ratio_3yr_avg": 1.43, "lt_debt_fy2024": 27351000000}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "business_brief", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-006-brief-caterpillar", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark:business_brief (section schema incl. internal AR/AP fusion) converted from LLM-judge rubric to structured fields; ratios from user-brief Caterpillar example", "provenance": "ported", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "erp", "filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email, Tue 07:55**\n\nI'm presenting the Caterpillar credit brief Thursday. Can you do the leverage section — the debt and equity figures, the three-year ratio picture — and check whether we already trade with them?\n", "rubric": {"checks": {"answer_checks": [{"expect": 27351000000, "field": "lt_debt_fy2024", "tol_rel": 0.001, "type": "number"}, {"expect": 19494000000, "field": "equity_fy2024", "tol_rel": 0.001, "type": "number"}, {"expect": 1.4253, "field": "lt_de_ratio_3yr_avg", "tol_abs": 0.02, "type": "number"}, {"field": "internal_ar_relationship", "type": "none_answer"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings", "erp"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-006-brief-caterpillar", "task_name": "business_brief/brief-caterpillar", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-007-brief-caterpillar-esc-burie-quiet/documents/template--business-brief.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"equity_fy2024": 19494000000, "internal_ar_relationship": "none", "lt_de_ratio_3yr_avg": 1.43, "lt_debt_fy2024": 27351000000}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "business_brief", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-007-brief-caterpillar-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of business_brief/brief-caterpillar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:business_brief (section schema incl. internal AR/AP fusion) converted from LLM-judge rubric to structured fields; ratios from user-brief Caterpillar example", "provenance": "variant", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "erp", "filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email, Tue 07:55**\n\nI'm presenting the Caterpillar credit brief Thursday. Can you do the leverage section — the debt and equity figures, the three-year ratio picture — and check whether we already trade with them?\n", "rubric": {"checks": {"answer_checks": [{"expect": 27351000000, "field": "lt_debt_fy2024", "tol_rel": 0.001, "type": "number"}, {"expect": 19494000000, "field": "equity_fy2024", "tol_rel": 0.001, "type": "number"}, {"expect": 1.4253, "field": "lt_de_ratio_3yr_avg", "tol_abs": 0.02, "type": "number"}, {"field": "internal_ar_relationship", "type": "none_answer"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings", "erp"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-007-brief-caterpillar-esc-burie-quiet", "task_name": "business_brief/brief-caterpillar-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-008-brief-caterpillar-v2/documents/policy--counterparty-credit.md", "task_files/lgr100-008-brief-caterpillar-v2/documents/template--business-brief.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"internal_relationship": "none", "leverage_classification": "moderate", "lt_de_2022": 1.62, "lt_de_2023": 1.25, "lt_de_2024": 1.4, "lt_de_ratio_3yr_avg": 1.43}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "harder", "family": "business_brief", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-008-brief-caterpillar-v2", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "grow: escalated from business_brief/brief-caterpillar (haiku passed 2/2 -> too_easy). Escalations: per-year ratio fields, leverage classification requires reading the credit policy bands, walk 8->10.", "provenance": "ported", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "erp", "filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email, Tue 07:55**\n\nCaterpillar credit brief for Thursday. I need the leverage worked per year rather than just the average, classified the way our policy wants it, and the usual check on whether we already trade with them. Follow the brief template.\n", "rubric": {"checks": {"answer_checks": [{"expect": 1.618, "field": "lt_de_2022", "tol_abs": 0.02, "type": "number"}, {"expect": 1.255, "field": "lt_de_2023", "tol_abs": 0.02, "type": "number"}, {"expect": 1.403, "field": "lt_de_2024", "tol_abs": 0.02, "type": "number"}, {"expect": 1.425, "field": "lt_de_ratio_3yr_avg", "tol_abs": 0.02, "type": "number"}, {"expect": ["moderate"], "field": "leverage_classification", "type": "contains_all"}, {"field": "internal_relationship", "type": "none_answer"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings", "erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-008-brief-caterpillar-v2", "task_name": "business_brief/brief-caterpillar-v2", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"internal_ar_relationship": "none", "internal_open_ar_usd": 0, "lt_de_ratio_3yr_avg": 0.0326, "net_income_fy2025": 4335000000.0, "revenue_fy2025": 34639000000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "business_brief_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-009-brief-advanced-micro-devices-inc", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark business_brief item business_brief-007 (Advanced Micro Devices Inc); the JUDGEMENT is ported and FB's DSPy LLM-judge prose scoring is dropped per docs/INGESTION.md judgement_port. Figures recomputed from the frozen SEC XBRL snapshot; the internal_ar_relationship field is this world's addition — it is answerable only from the ERP, not the filings (scale/profitability @ 2025-12-27 (10-K); 3yr avg long-term D/E; no internal exposure (trap))", "provenance": "ported", "version": "1.0.0", "walk_len": 7, "walk_servers": ["erp", "filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email**\n\nPutting together the counterparty brief on Advanced Micro Devices Inc. I need the public numbers — scale, profitability and the leverage picture — and, importantly, whether we already have any exposure to them on our own books. Don't assume either way, check.\n", "rubric": {"checks": {"answer_checks": [{"expect": 34639000000.0, "field": "revenue_fy2025", "tol_rel": 0.001, "type": "number"}, {"expect": 4335000000.0, "field": "net_income_fy2025", "tol_rel": 0.001, "type": "number"}, {"expect": 0.0326, "field": "lt_de_ratio_3yr_avg", "tol_abs": 0.02, "type": "number"}, {"field": "internal_ar_relationship", "type": "none_answer"}, {"expect": 0, "field": "internal_open_ar_usd", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings", "erp"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-009-brief-advanced-micro-devices-inc", "task_name": "business_brief_fb/brief-advanced-micro-devices-inc", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"internal_ar_relationship": "BRF-20", "internal_open_ar_usd": 42132, "lt_de_ratio_3yr_avg": -6.1185, "net_income_fy2025": 111000000.0, "revenue_fy2025": 54633000000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "business_brief_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-010-brief-american-airlines-group", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark business_brief item business_brief-158 (American Airlines Group); the JUDGEMENT is ported and FB's DSPy LLM-judge prose scoring is dropped per docs/INGESTION.md judgement_port. Figures recomputed from the frozen SEC XBRL snapshot; the internal_ar_relationship field is this world's addition — it is answerable only from the ERP, not the filings (scale/profitability @ 2025-12-31 (10-K); 3yr avg long-term D/E; internal exposure BRF-20 = 42132)", "provenance": "ported", "version": "1.0.0", "walk_len": 7, "walk_servers": ["erp", "filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email**\n\nPutting together the counterparty brief on American Airlines Group. I need the public numbers — scale, profitability and the leverage picture — and, importantly, whether we already have any exposure to them on our own books. Don't assume either way, check.\n", "rubric": {"checks": {"answer_checks": [{"expect": 54633000000.0, "field": "revenue_fy2025", "tol_rel": 0.001, "type": "number"}, {"expect": 111000000.0, "field": "net_income_fy2025", "tol_rel": 0.001, "type": "number"}, {"expect": -6.1185, "field": "lt_de_ratio_3yr_avg", "tol_abs": 0.02, "type": "number"}, {"expect": ["BRF-20"], "field": "internal_ar_relationship", "type": "contains_all"}, {"expect": 42132, "field": "internal_open_ar_usd", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings", "erp"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-010-brief-american-airlines-group", "task_name": "business_brief_fb/brief-american-airlines-group", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"internal_ar_relationship": "BRF-00", "internal_open_ar_usd": 41732, "lt_de_ratio_3yr_avg": 1.3671, "net_income_fy2025": 112010000000.0, "revenue_fy2025": 416161000000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "business_brief_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-011-brief-apple-inc", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark business_brief item business_brief-006 (Apple Inc); the JUDGEMENT is ported and FB's DSPy LLM-judge prose scoring is dropped per docs/INGESTION.md judgement_port. Figures recomputed from the frozen SEC XBRL snapshot; the internal_ar_relationship field is this world's addition — it is answerable only from the ERP, not the filings (scale/profitability @ 2025-09-27 (10-K); 3yr avg long-term D/E; internal exposure BRF-00 = 41732)", "provenance": "ported", "version": "1.0.0", "walk_len": 7, "walk_servers": ["erp", "filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email**\n\nPutting together the counterparty brief on Apple Inc. I need the public numbers — scale, profitability and the leverage picture — and, importantly, whether we already have any exposure to them on our own books. Don't assume either way, check.\n", "rubric": {"checks": {"answer_checks": [{"expect": 416161000000.0, "field": "revenue_fy2025", "tol_rel": 0.001, "type": "number"}, {"expect": 112010000000.0, "field": "net_income_fy2025", "tol_rel": 0.001, "type": "number"}, {"expect": 1.3671, "field": "lt_de_ratio_3yr_avg", "tol_abs": 0.02, "type": "number"}, {"expect": ["BRF-00"], "field": "internal_ar_relationship", "type": "contains_all"}, {"expect": 41732, "field": "internal_open_ar_usd", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings", "erp"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-011-brief-apple-inc", "task_name": "business_brief_fb/brief-apple-inc", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-012-deduction-coding-mar/documents/copper-ridge-po.md", "task_files/lgr100-012-deduction-coding-mar/documents/deduction-policy.md", "task_files/lgr100-012-deduction-coding-mar/documents/sable-finch-allowance.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"chargeback_amount": 5400.0, "cinv701_reason": "pricing_variance", "cinv702_reason": "promotional_allowance", "cinv703_reason": "write_off_immaterial", "cinv704_reason": "unauthorized", "conceded_amount": 1950.0, "total_deductions": 7350.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "cash_app", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-012-deduction-coding-mar", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "closes tracked coverage gaps art.deduction_coding and fb.erp.deductions; deduction taxonomy and routing from research/external/articles/cash-application--{highradius,stuut,zamp}.md; docs/HARD-LAYER-DESIGN.md M3/M4/M5", "provenance": "ported", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Ana Duarte · AR Manager · Teams 08:45**\n\nFour short-pays came in this week — CINV-701 through CINV-704. Can you code and route them\nper SOP-AR-06 before the AR bridge goes out?\n\nDon't just take the reason off the remittance. We had one last quarter coded as a damages\nclaim on the customer's say-so and it turned out to be a price they'd never agreed; we\nconceded 12k we should have charged back.\n\nConceded and chargeback go on separate lines of the bridge — don't net them.\n", "rubric": {"checks": {"answer_checks": [{"expect": 7350.0, "field": "total_deductions", "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE invoice LIKE 'CINV-70%'", "tol_abs": 0.05, "type": "number"}, {"expect": ["pricing_variance"], "field": "cinv701_reason", "forbid": ["shortage_damage", "unauthorized", "promotional_allowance", "write_off"], "type": "contains_all"}, {"expect": ["promotional_allowance"], "field": "cinv702_reason", "forbid": ["unauthorized", "pricing_variance", "shortage_damage"], "type": "contains_all"}, {"expect": ["write_off_immaterial"], "field": "cinv703_reason", "forbid": ["shortage_damage", "pricing_variance", "unauthorized"], "type": "contains_all"}, {"expect": ["unauthorized"], "field": "cinv704_reason", "forbid": ["shortage_damage", "pricing_variance", "promotional_allowance"], "type": "contains_all"}, {"expect": 1950.0, "field": "conceded_amount", "tol_abs": 0.05, "type": "number"}, {"expect": 5400.0, "field": "chargeback_amount", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs", "email"], "type": "required_servers"}, {"n": 2, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-012-deduction-coding-mar", "task_name": "cash_app/deduction-coding-mar", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"dep501_invoices": "LHINV-001, LHINV-002", "dep502_invoices": "LHINV-003", "dep503_invoices": "none", "unapplied_amount": 4000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "cash_app", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-013-remittance-batch-mar02", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#4 (HighRadius/Auditoria pattern: remittance emails + bank export -> apply); 46% unapplied-cash stat", "provenance": "ported", "version": "1.0.0", "walk_len": 7, "walk_servers": ["email", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 08:12**\n\nThree deposits from Lamna in this morning's lockbox. Can you work out how they apply? Don't guess on anything you can't tie out.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["LHINV-001", "LHINV-002"], "field": "dep501_invoices", "type": "contains_all"}, {"expect": ["LHINV-003"], "field": "dep502_invoices", "type": "contains_all"}, {"field": "dep503_invoices", "forbid": ["LHINV-001", "LHINV-002", "LHINV-003"], "type": "none_answer"}, {"expect": 4000.0, "field": "unapplied_amount", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets", "email"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-013-remittance-batch-mar02", "task_name": "cash_app/remittance-batch-mar02", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"dep501_invoices": "LHINV-001, LHINV-002", "dep502_invoices": "LHINV-003", "dep503_invoices": "none", "unapplied_amount": 4000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "cash_app", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-014-remittance-batch-mar02-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of cash_app/remittance-batch-mar02 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#4 (HighRadius/Auditoria pattern: remittance emails + bank export -> apply); 46% unapplied-cash stat", "provenance": "variant", "version": "1.0.0", "walk_len": 7, "walk_servers": ["email", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 08:12**\n\nThree deposits from Lamna in this morning's lockbox. Can you work out how they apply? Don't guess on anything you can't tie out.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["LHINV-001", "LHINV-002"], "field": "dep501_invoices", "type": "contains_all"}, {"expect": ["LHINV-003"], "field": "dep502_invoices", "type": "contains_all"}, {"field": "dep503_invoices", "forbid": ["LHINV-001", "LHINV-002", "LHINV-003"], "type": "none_answer"}, {"expect": 4000.0, "field": "unapplied_amount", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets", "email"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-014-remittance-batch-mar02-esc-burie-quiet", "task_name": "cash_app/remittance-batch-mar02-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-015-cesp-four-week/documents/sop--cash-forecast-assumptions.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"four_week_net": -322000.0, "week1_net": 14000.0, "week2_net": -169000.0, "week3_net": 51000.0, "week4_net": -218000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "cash_forecast", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-015-cesp-four-week", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#8 (13-week direct method, scoped to 4 weeks); assumptions doc = consult-don't-know", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email, Mon 07:30**\n\nBoard call Thursday — I need CESP's cash position for the next four weeks, week by week starting today. Use our standard assumptions.\n", "rubric": {"checks": {"answer_checks": [{"expect": 14000.0, "field": "week1_net", "tol_abs": 0.05, "type": "number"}, {"expect": -169000.0, "field": "week2_net", "tol_abs": 0.05, "type": "number"}, {"expect": 51000.0, "field": "week3_net", "tol_abs": 0.05, "type": "number"}, {"expect": -218000.0, "field": "week4_net", "tol_abs": 0.05, "type": "number"}, {"expect": -322000.0, "field": "four_week_net", "tol_abs": 0.1, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-015-cesp-four-week", "task_name": "cash_forecast/cesp-four-week", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-016-cesp-four-week-esc-burie-quiet/documents/sop--cash-forecast-assumptions.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"four_week_net": -322000.0, "week1_net": 14000.0, "week2_net": -169000.0, "week3_net": 51000.0, "week4_net": -218000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "cash_forecast", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-016-cesp-four-week-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of cash_forecast/cesp-four-week via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#8 (13-week direct method, scoped to 4 weeks); assumptions doc = consult-don't-know", "provenance": "variant", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · email, Mon 07:30**\n\nBoard call Thursday — I need CESP's cash position for the next four weeks, week by week starting today. Use our standard assumptions.\n", "rubric": {"checks": {"answer_checks": [{"expect": 14000.0, "field": "week1_net", "tol_abs": 0.05, "type": "number"}, {"expect": -169000.0, "field": "week2_net", "tol_abs": 0.05, "type": "number"}, {"expect": 51000.0, "field": "week3_net", "tol_abs": 0.05, "type": "number"}, {"expect": -218000.0, "field": "week4_net", "tol_abs": 0.05, "type": "number"}, {"expect": -322000.0, "field": "four_week_net", "tol_abs": 0.1, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-016-cesp-four-week-esc-burie-quiet", "task_name": "cash_forecast/cesp-four-week-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-017-period-lock-correction/documents/period-close-policy.md"], "gold_output": {"expected_state_assertions": [{"expect": "posted", "name": "correction_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": "2026-03", "name": "booked_to_open_period", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": 1, "name": "nothing_posted_into_january", "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'", "type": "sql"}, {"expect": "600200", "name": "debit_to_software", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0", "type": "sql"}, {"expect": "600300", "name": "credit_reverses_te", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0", "type": "sql"}, {"expect": 0.0, "name": "reclass_nets_to_zero", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "tol_abs": 0.005, "type": "sql"}, {"expect": "posted", "name": "original_untouched", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'", "type": "sql"}], "submit_answer": {"amount": 8400.0, "january_status": "closed", "journal_id": "GJ-00002", "journal_state": "posted", "posting_period": "2026-03"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "close_mgmt", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-017-period-lock-correction", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "closes tracked coverage gap erpnext.period_close_lock (sim/coverage.py); period-status model from research/odoo-domain.md (Odoo company lock dates) and research/erp-mcp-tool-census.md (mcp-erp close_period/reopen_period); docs/HARD-LAYER-DESIGN.md M1/M3/M5", "provenance": "ported", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Controller · Teams 09:12**\n\nAudit picked up a coding error from January — GJ-00900, the Northwind analytics\nsubscription, $8,400 sitting in travel & entertainment instead of software. It's a straight\nreclass between expense accounts, no cash impact.\n\nCan you book the correction and tell me where it landed? January's numbers have already gone\nout, so be careful about the dating — check the calendar before you date it, ours doesn't\ntrack the calendar month.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["GJ-00002"], "field": "journal_id", "type": "contains_all"}, {"expect": ["2026-03"], "field": "posting_period", "type": "contains_all"}, {"expect": ["closed"], "field": "january_status", "type": "contains_all"}, {"expect": ["posted"], "field": "journal_state", "type": "contains_all"}, {"expect": 8400.0, "field": "amount", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": "posted", "name": "correction_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": "2026-03", "name": "booked_to_open_period", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": 1, "name": "nothing_posted_into_january", "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'", "type": "sql"}, {"expect": "600200", "name": "debit_to_software", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0", "type": "sql"}, {"expect": "600300", "name": "credit_reverses_te", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0", "type": "sql"}, {"expect": 0.0, "name": "reclass_nets_to_zero", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "tol_abs": 0.005, "type": "sql"}, {"expect": "posted", "name": "original_untouched", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'", "type": "sql"}, {"tables": ["answers", "erp_ledger_journals", "erp_ledger_journal_lines", "erp_approval_requests", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-017-period-lock-correction", "task_name": "close_mgmt/period-lock-correction", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-018-period-lock-correction-esc-burie-quiet/documents/period-close-policy.md"], "gold_output": {"expected_state_assertions": [{"expect": "posted", "name": "correction_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": "2026-03", "name": "booked_to_open_period", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": 1, "name": "nothing_posted_into_january", "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'", "type": "sql"}, {"expect": "600200", "name": "debit_to_software", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0", "type": "sql"}, {"expect": "600300", "name": "credit_reverses_te", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0", "type": "sql"}, {"expect": 0.0, "name": "reclass_nets_to_zero", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "tol_abs": 0.005, "type": "sql"}, {"expect": "posted", "name": "original_untouched", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'", "type": "sql"}], "submit_answer": {"amount": 8400.0, "january_status": "closed", "journal_id": "GJ-00002", "journal_state": "posted", "posting_period": "2026-03"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "close_mgmt", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-018-period-lock-correction-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of close_mgmt/period-lock-correction via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: closes tracked coverage gap erpnext.period_close_lock (sim/coverage.py); period-status model from research/odoo-domain.md (Odoo company lock dates) and research/erp-mcp-tool-census.md (mcp-erp close_period/reopen_period); docs/HARD-LAYER-DESIGN.md M1/M3/M5", "provenance": "variant", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Controller · Teams 09:12**\n\nAudit picked up a coding error from January — GJ-00900, the Northwind analytics\nsubscription, $8,400 sitting in travel & entertainment instead of software. It's a straight\nreclass between expense accounts, no cash impact.\n\nCan you book the correction and tell me where it landed? January's numbers have already gone\nout, so be careful about the dating — check the calendar before you date it, ours doesn't\ntrack the calendar month.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["GJ-00002"], "field": "journal_id", "type": "contains_all"}, {"expect": ["2026-03"], "field": "posting_period", "type": "contains_all"}, {"expect": ["closed"], "field": "january_status", "type": "contains_all"}, {"expect": ["posted"], "field": "journal_state", "type": "contains_all"}, {"expect": 8400.0, "field": "amount", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": "posted", "name": "correction_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": "2026-03", "name": "booked_to_open_period", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "type": "sql"}, {"expect": 1, "name": "nothing_posted_into_january", "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'", "type": "sql"}, {"expect": "600200", "name": "debit_to_software", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0", "type": "sql"}, {"expect": "600300", "name": "credit_reverses_te", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0", "type": "sql"}, {"expect": 0.0, "name": "reclass_nets_to_zero", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'", "tol_abs": 0.005, "type": "sql"}, {"expect": "posted", "name": "original_untouched", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'", "type": "sql"}, {"tables": ["answers", "erp_ledger_journals", "erp_ledger_journal_lines", "erp_approval_requests", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-018-period-lock-correction-esc-burie-quiet", "task_name": "close_mgmt/period-lock-correction-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-019-revenue-recognition-tieout/documents/policy--revenue-recognition-tieout.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"amount_exceptions": "CTR-2047, CTR-2052", "flagged_contracts": "CTR-2047, CTR-2052, CTR-2055, CTR-2058", "over_recognised_usd": 7500.0, "timing_exceptions": "CTR-2055, CTR-2058", "under_recognised_usd": 8000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "close_mgmt", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-019-revenue-recognition-tieout", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-revenue-reconciliation (contracts.xlsx + revenue_schedule.xlsx, flag contracts where recognised revenue misses contract value beyond tolerance OR the schedule does not align with the contract term); the source's LLM-judged RocketChat notification and file-writing checkpoints are dropped for deterministic answer checks, and its single flagged list is split into the two finding classes its own task.md names; docs/HARD-LAYER-DESIGN.md M3 (non-collapse) / M4 (recomputed from the schedule, never read off the register's cached column) / M5 (tolerance and term-alignment rule live only in RAP-04); source checkpoint 1 (asserting the ownCloud path appears in the trajectory) is also dropped as environment-specific - the equivalent here is the required_servers/reads_before_submit trace check", "provenance": "ported", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Iris Bhatt · Revenue Accounting Manager · Teams 07:50**\n\nThe auditors moved the revenue walkthrough to Thursday and the FY26 contract register goes out\nwith the PBC pack. Can you tie it out to the recognition schedule per RAP-04 before I send it?\n\nLast year we handed them a register that footed perfectly and still took two cut-off findings.\nNobody caught them in-house, because the totals agreed. So please don't only foot it.\n\nAlso — don't lean on the recognised column in the register. Someone refreshes that by hand and\nI have no idea when it was last done.\n\nOver- and under-recognised go on separate lines. Netting them is how a real exposure turns into\na rounding difference on the memo, and the auditors ask for the directions anyway.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["CTR-2047", "CTR-2052", "CTR-2055", "CTR-2058"], "field": "flagged_contracts", "forbid": ["CTR-2041", "CTR-2044", "CTR-2061"], "type": "contains_all"}, {"expect": ["CTR-2047", "CTR-2052"], "field": "amount_exceptions", "forbid": ["CTR-2041", "CTR-2044", "CTR-2055", "CTR-2058", "CTR-2061"], "type": "contains_all"}, {"expect": ["CTR-2055", "CTR-2058"], "field": "timing_exceptions", "forbid": ["CTR-2041", "CTR-2044", "CTR-2047", "CTR-2052", "CTR-2061"], "type": "contains_all"}, {"expect": 7500.0, "field": "over_recognised_usd", "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(rec-val),0),2) FROM v WHERE rec-val > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)", "tol_abs": 0.05, "type": "number"}, {"expect": 8000.0, "field": "under_recognised_usd", "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(val-rec),0),2) FROM v WHERE val-rec > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-019-revenue-recognition-tieout", "task_name": "close_mgmt/revenue-recognition-tieout", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-020-revenue-recognition-tieout-esc-burie-quiet/documents/policy--revenue-recognition-tieout.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"amount_exceptions": "CTR-2047, CTR-2052", "flagged_contracts": "CTR-2047, CTR-2052, CTR-2055, CTR-2058", "over_recognised_usd": 7500.0, "timing_exceptions": "CTR-2055, CTR-2058", "under_recognised_usd": 8000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "close_mgmt", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-020-revenue-recognition-tieout-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of close_mgmt/revenue-recognition-tieout via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-revenue-reconciliation (contracts.xlsx + revenue_schedule.xlsx, flag contracts where recognised revenue misses contract value beyond tolerance OR the schedule does not align with the contract term); the source's LLM-judged RocketChat notification and file-writing checkpoints are dropped for deterministic answer checks, and its single flagged list is split into the two finding classes its own task.md names; docs/HARD-LAYER-DESIGN.md M3 (non-collapse) / M4 (recomputed from the schedule, never read off the register's cached column) / M5 (tolerance and term-alignment rule live only in RAP-04); source checkpoint 1 (asserting the ownCloud path appears in the trajectory) is also dropped as environment-specific - the equivalent here is the required_servers/reads_before_submit trace check", "provenance": "variant", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Iris Bhatt · Revenue Accounting Manager · Teams 07:50**\n\nThe auditors moved the revenue walkthrough to Thursday and the FY26 contract register goes out\nwith the PBC pack. Can you tie it out to the recognition schedule per RAP-04 before I send it?\n\nLast year we handed them a register that footed perfectly and still took two cut-off findings.\nNobody caught them in-house, because the totals agreed. So please don't only foot it.\n\nAlso — don't lean on the recognised column in the register. Someone refreshes that by hand and\nI have no idea when it was last done.\n\nOver- and under-recognised go on separate lines. Netting them is how a real exposure turns into\na rounding difference on the memo, and the auditors ask for the directions anyway.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["CTR-2047", "CTR-2052", "CTR-2055", "CTR-2058"], "field": "flagged_contracts", "forbid": ["CTR-2041", "CTR-2044", "CTR-2061"], "type": "contains_all"}, {"expect": ["CTR-2047", "CTR-2052"], "field": "amount_exceptions", "forbid": ["CTR-2041", "CTR-2044", "CTR-2055", "CTR-2058", "CTR-2061"], "type": "contains_all"}, {"expect": ["CTR-2055", "CTR-2058"], "field": "timing_exceptions", "forbid": ["CTR-2041", "CTR-2044", "CTR-2047", "CTR-2052", "CTR-2061"], "type": "contains_all"}, {"expect": 7500.0, "field": "over_recognised_usd", "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(rec-val),0),2) FROM v WHERE rec-val > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)", "tol_abs": 0.05, "type": "number"}, {"expect": 8000.0, "field": "under_recognised_usd", "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(val-rec),0),2) FROM v WHERE val-rec > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-020-revenue-recognition-tieout-esc-burie-quiet", "task_name": "close_mgmt/revenue-recognition-tieout-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-021-subledger-tieout-feb/documents/sop--month-end-close-checklist.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"blocking_task_owner": "Jordan Blake", "erp_ap_balance": 80500.0, "erp_ar_balance": 128500.0, "unreconciled_subledger": "AP", "variance_amount": 2500.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "close_mgmt", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-021-subledger-tieout-feb", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#2 (close checklist + subledger tie-out); chaos: workbook vs ERP divergence", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 18:20**\n\nCESP February close is stuck. Which subledger isn't tying, by how much, and who owns that task?\n", "rubric": {"checks": {"answer_checks": [{"expect": 128500.0, "field": "erp_ar_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 80500.0, "field": "erp_ap_balance", "tol_abs": 0.02, "type": "number"}, {"expect": ["AP"], "field": "unreconciled_subledger", "type": "contains_all"}, {"expect": 2500.0, "field": "variance_amount", "tol_abs": 0.02, "type": "number"}, {"expect": ["jordan"], "field": "blocking_task_owner", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-021-subledger-tieout-feb", "task_name": "close_mgmt/subledger-tieout-feb", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-022-subledger-tieout-feb-esc-burie-quiet/documents/sop--month-end-close-checklist.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"blocking_task_owner": "Jordan Blake", "erp_ap_balance": 80500.0, "erp_ar_balance": 128500.0, "unreconciled_subledger": "AP", "variance_amount": 2500.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "close_mgmt", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-022-subledger-tieout-feb-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of close_mgmt/subledger-tieout-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#2 (close checklist + subledger tie-out); chaos: workbook vs ERP divergence", "provenance": "variant", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 18:20**\n\nCESP February close is stuck. Which subledger isn't tying, by how much, and who owns that task?\n", "rubric": {"checks": {"answer_checks": [{"expect": 128500.0, "field": "erp_ar_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 80500.0, "field": "erp_ap_balance", "tol_abs": 0.02, "type": "number"}, {"expect": ["AP"], "field": "unreconciled_subledger", "type": "contains_all"}, {"expect": 2500.0, "field": "variance_amount", "tol_abs": 0.02, "type": "number"}, {"expect": ["jordan"], "field": "blocking_task_owner", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-022-subledger-tieout-feb-esc-burie-quiet", "task_name": "close_mgmt/subledger-tieout-feb-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-023-escalate-sparrow-letter3/documents/policy--collections-dunning-runbook.md"], "gold_output": {"expected_state_assertions": [{"expect": 1, "name": "letter3_posted_today", "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008' AND letter_code='3' AND letter_date='2026-03-02' AND status='Sent'", "type": "row_count"}, {"expect": 3, "name": "no_duplicate_letters", "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008'", "type": "row_count"}, {"expect": 40.0, "name": "letter3_fee", "sql": "SELECT fee FROM erp_collection_letters WHERE account='US-008' AND letter_code='3'", "tol_abs": 0.01, "type": "cell_equals"}, {"expect": "Open", "name": "no_credit_hold", "sql": "SELECT on_hold FROM erp_customers WHERE account='US-008'", "type": "cell_equals"}], "submit_answer": {"credit_hold_placed": "no", "letter_fee": 40.0, "letter_issued": "3", "reasoning": "Letter 2 was sent 14 days ago and SPINV-002 remains unpaid, so letter 3 posts with its $40 fee; the oldest past-due item is at 47 days, below the ~75-day credit-hold threshold, so no hold yet."}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "collections_ops", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-023-escalate-sparrow-letter3", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "wave-2 writes on the D365 hold/letter machinery (research/finance-agent-workflows.md wf#10); dunning ladder AR-SOP-003", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 09:00**\n\nSparrow Retail's review is due today. Take whatever action the runbook calls for at their position — nothing more — and tell me what you did and why.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["3"], "field": "letter_issued", "type": "contains_all"}, {"expect": 40.0, "field": "letter_fee", "tol_abs": 0.01, "type": "number"}, {"expect": "no", "field": "credit_hold_placed", "type": "yes_no"}, {"expect": ["75"], "field": "reasoning", "type": "contains_all"}], "state_checks": [{"tables": ["answers", "erp_collection_letters"], "type": "writes_only"}, {"expect": 1, "name": "letter3_posted_today", "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008' AND letter_code='3' AND letter_date='2026-03-02' AND status='Sent'", "type": "row_count"}, {"expect": 3, "name": "no_duplicate_letters", "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008'", "type": "row_count"}, {"expect": 40.0, "name": "letter3_fee", "sql": "SELECT fee FROM erp_collection_letters WHERE account='US-008' AND letter_code='3'", "tol_abs": 0.01, "type": "cell_equals"}, {"expect": "Open", "name": "no_credit_hold", "sql": "SELECT on_hold FROM erp_customers WHERE account='US-008'", "type": "cell_equals"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-023-escalate-sparrow-letter3", "task_name": "collections_ops/escalate-sparrow-letter3", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"evidence_source": "email attachment (shared AP/AR mailbox), corroborated by the manual invoice log spreadsheet", "found_in_erp": "no", "invoice_number": "INV-2026-047", "outstanding_amount": 18750.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "cross_system", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-024-email-invoice-meadow", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "novel: chaos patterns 'invoices existing only in email' (68% manual keying) + 'Excel-only manual log' (research/domain-workflows.md §3)", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["email", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 08:05**\n\nDid we ever invoice Meadow Analytics for the February executive workshop? They're a new client and I can't find them. What's outstanding from them?\n", "rubric": {"checks": {"answer_checks": [{"expect": "no", "field": "found_in_erp", "type": "yes_no"}, {"expect": ["INV-2026-047"], "field": "invoice_number", "type": "contains_all"}, {"expect": 18750.0, "field": "outstanding_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["mail"], "field": "evidence_source", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "email"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-024-email-invoice-meadow", "task_name": "cross_system/email-invoice-meadow", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"evidence_source": "email attachment (shared AP/AR mailbox), corroborated by the manual invoice log spreadsheet", "found_in_erp": "no", "invoice_number": "INV-2026-047", "outstanding_amount": 18750.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "cross_system", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-025-email-invoice-meadow-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of cross_system/email-invoice-meadow via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: novel: chaos patterns 'invoices existing only in email' (68% manual keying) + 'Excel-only manual log' (research/domain-workflows.md §3)", "provenance": "variant", "version": "1.0.0", "walk_len": 6, "walk_servers": ["email", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 08:05**\n\nDid we ever invoice Meadow Analytics for the February executive workshop? They're a new client and I can't find them. What's outstanding from them?\n", "rubric": {"checks": {"answer_checks": [{"expect": "no", "field": "found_in_erp", "type": "yes_no"}, {"expect": ["INV-2026-047"], "field": "invoice_number", "type": "contains_all"}, {"expect": 18750.0, "field": "outstanding_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["mail"], "field": "evidence_source", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "email"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-025-email-invoice-meadow-esc-burie-quiet", "task_name": "cross_system/email-invoice-meadow-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"difference": 22500.0, "difference_cause": "ICINV-03 ($22,500) — received by the subsidiary 2026-03-01 but not yet booked (in transit)", "parent_ar_balance": 76500.0, "sub_recorded_balance": 54000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "cross_system", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-026-intercompany-tieout-feb", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#7; chaos primitive: system A learned the truth before system B", "provenance": "ported", "version": "1.0.0", "walk_len": 5, "walk_servers": ["email", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 17:02**\n\nIntercompany with CES Direct for February. What do we say they owe, what do they say, and what's behind any difference?\n", "rubric": {"checks": {"answer_checks": [{"expect": 76500.0, "field": "parent_ar_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 54000.0, "field": "sub_recorded_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 22500.0, "field": "difference", "tol_abs": 0.02, "type": "number"}, {"expect": ["ICINV-03"], "field": "difference_cause", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-026-intercompany-tieout-feb", "task_name": "cross_system/intercompany-tieout-feb", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"difference": 22500.0, "difference_cause": "ICINV-03 ($22,500) — received by the subsidiary 2026-03-01 but not yet booked (in transit)", "parent_ar_balance": 76500.0, "sub_recorded_balance": 54000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "cross_system", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-027-intercompany-tieout-feb-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of cross_system/intercompany-tieout-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#7; chaos primitive: system A learned the truth before system B", "provenance": "variant", "version": "1.0.0", "walk_len": 5, "walk_servers": ["email", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 17:02**\n\nIntercompany with CES Direct for February. What do we say they owe, what do they say, and what's behind any difference?\n", "rubric": {"checks": {"answer_checks": [{"expect": 76500.0, "field": "parent_ar_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 54000.0, "field": "sub_recorded_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 22500.0, "field": "difference", "tol_abs": 0.02, "type": "number"}, {"expect": ["ICINV-03"], "field": "difference_cause", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-027-intercompany-tieout-feb-esc-burie-quiet", "task_name": "cross_system/intercompany-tieout-feb-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"combined_exposure": 113799.19, "erp_open_balance": 94749.19, "subsidiary_net_balance": 19050.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "cross_system", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-028-total-ar-adventure-group", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "novel: data-chaos pattern 'subsidiary AR lives outside the ERP' (research/domain-workflows.md §3); FB has no cross-system tasks", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["books", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 10:41**\n\nAdventure Works — what's our total exposure to them across the group? Treasury wants one number they can defend.\n", "rubric": {"checks": {"answer_checks": [{"expect": 94749.19, "field": "erp_open_balance", "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0", "tol_abs": 0.02, "type": "number"}, {"expect": 19050.0, "field": "subsidiary_net_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 113799.19, "field": "combined_exposure", "tol_abs": 0.04, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "books"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-028-total-ar-adventure-group", "task_name": "cross_system/total-ar-adventure-group", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"combined_exposure": 119999.19, "erp_open_balance": 94749.19, "offbook_invoice_amount": 6200.0, "subsidiary_net_balance": 19050.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "harder", "family": "cross_system", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-029-total-ar-adventure-group-v2", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "grow: escalated from cross_system/total-ar-adventure-group (haiku passed 2/2 -> too_easy). Escalations: +sheet-only side invoice (email-corroborated), +stale AR-summary distractor that must be ignored, walk 6->10.", "provenance": "ported", "version": "1.0.0", "walk_len": 10, "walk_servers": ["books", "email", "erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 10:41**\n\nAdventure Works — total group exposure, one defensible number. Dana mentioned paperwork floating around from the CES cutover, so make sure nothing's missed or double-counted, and don't trust every file on the drive.\n", "rubric": {"checks": {"answer_checks": [{"expect": 94749.19, "field": "erp_open_balance", "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0", "tol_abs": 0.02, "type": "number"}, {"expect": 19050.0, "field": "subsidiary_net_balance", "tol_abs": 0.02, "type": "number"}, {"expect": 6200.0, "field": "offbook_invoice_amount", "tol_abs": 0.01, "type": "number"}, {"expect": 119999.19, "field": "combined_exposure", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "books", "sheets"], "type": "required_servers"}, {"n": 2, "server": "books", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-029-total-ar-adventure-group-v2", "task_name": "cross_system/total-ar-adventure-group-v2", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"erp_live_total": 127450.0, "stale_customers": "Tailwind Bikes, Ostara Labs", "tracker_cached_total": 118400.0, "tracker_rows_sum": 228138.01}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "cross_system", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-030-tracker-formula-drift", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "chaos patterns 'spreadsheet version drift' + '1 in 3 CFOs distrust close data' (research/domain-workflows.md §3); enabled by sheets formula-cell support (Graph serves cached values, like real Excel)", "provenance": "ported", "version": "1.0.0", "walk_len": 5, "walk_servers": ["erp", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 08:31**\n\nThe CFO quoted a watchlist number this morning and Casey says it feels low. Can you check it before I reply to him? Tell me what the number should be.\n", "rubric": {"checks": {"answer_checks": [{"expect": 118400.0, "field": "tracker_cached_total", "tol_abs": 0.02, "type": "number"}, {"expect": 228138.01, "field": "tracker_rows_sum", "tol_abs": 0.02, "type": "number"}, {"expect": 127450.0, "field": "erp_live_total", "tol_abs": 0.02, "type": "number"}, {"expect": ["tailwind", "ostara"], "field": "stale_customers", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "sheets"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-030-tracker-formula-drift", "task_name": "cross_system/tracker-formula-drift", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"as_of_date": "2026-03-02", "total_overdue_ap": 30616849.18}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-031-ap-overdue-usmf", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark:erp_qa/AP Overdue (user-brief example; GT computed in-world)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 08:52**\n\nCash call at 11. How much of our AP in USMF is actually overdue as of today? I need the number, not a range.\n", "rubric": {"checks": {"answer_checks": [{"expect": 30616849.18, "field": "total_overdue_ap", "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date<'2026-03-02'", "tol_abs": 0.05, "type": "number"}, {"expect": ["2026-03-02"], "field": "as_of_date", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-031-ap-overdue-usmf", "task_name": "erp_qa/ap-overdue-usmf", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"customer_account": "SYNCUS-0069", "open_invoice_count": 4, "outstanding_balance": 121321.26}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-032-ar-balance-fourthcoffee-east", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark:erp_qa/Customer Balance (user-brief example rephrased onto in-world entity)", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 09:14**\n\nFourth Coffee East just called about their account. What are we carrying on them right now?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["SYNCUS-0069"], "field": "customer_account", "type": "contains_all"}, {"expect": 121321.26, "field": "outstanding_balance", "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0", "tol_abs": 0.02, "type": "number"}, {"expect": 4, "field": "open_invoice_count", "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0", "tol_abs": 0, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-032-ar-balance-fourthcoffee-east", "task_name": "erp_qa/ar-balance-fourthcoffee-east", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"customer_account": "SYNCUS-0069", "open_invoice_count": 4, "outstanding_balance": 121321.26}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of erp_qa/ar-balance-fourthcoffee-east via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Customer Balance (user-brief example rephrased onto in-world entity)", "provenance": "variant", "version": "1.0.0", "walk_len": 4, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 09:14**\n\nFourth Coffee East just called about their account. What are we carrying on them right now?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["SYNCUS-0069"], "field": "customer_account", "type": "contains_all"}, {"expect": 121321.26, "field": "outstanding_balance", "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0", "tol_abs": 0.02, "type": "number"}, {"expect": 4, "field": "open_invoice_count", "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0", "tol_abs": 0, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet", "task_name": "erp_qa/ar-balance-fourthcoffee-east-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-034-cash-disc-fourthcoffee-east/documents/policy--cash-discount-capture.md", "task_files/lgr100-034-cash-disc-fourthcoffee-east/inputs/statement-fourthcoffee-east-2026-02.csv"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"has_active_discount": "yes", "potential_discount_usd": 437.11, "qualifying_invoices": "VINV-900001, VINV-900002"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-034-cash-disc-fourthcoffee-east", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark:erp_qa/Cash Discount + domain-workflows discount-capture runbook", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 08:20**\n\nFourth Coffee East's AR desk says we're leaving early-payment money on the table. Are we? If so, what can we still capture if I pay today?\n", "rubric": {"checks": {"answer_checks": [{"expect": "yes", "field": "has_active_discount", "type": "yes_no"}, {"expect": ["VINV-900001", "VINV-900002"], "field": "qualifying_invoices", "type": "contains_all"}, {"expect": 437.11, "field": "potential_discount_usd", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-034-cash-disc-fourthcoffee-east", "task_name": "erp_qa/cash-disc-fourthcoffee-east", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/documents/policy--cash-discount-capture.md", "task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/inputs/statement-fourthcoffee-east-2026-02.csv"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"has_active_discount": "yes", "potential_discount_usd": 437.11, "qualifying_invoices": "VINV-900001, VINV-900002"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of erp_qa/cash-disc-fourthcoffee-east via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Cash Discount + domain-workflows discount-capture runbook", "provenance": "variant", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 08:20**\n\nFourth Coffee East's AR desk says we're leaving early-payment money on the table. Are we? If so, what can we still capture if I pay today?\n", "rubric": {"checks": {"answer_checks": [{"expect": "yes", "field": "has_active_discount", "type": "yes_no"}, {"expect": ["VINV-900001", "VINV-900002"], "field": "qualifying_invoices", "type": "contains_all"}, {"expect": 437.11, "field": "potential_discount_usd", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet", "task_name": "erp_qa/cash-disc-fourthcoffee-east-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-036-collections-sparrow/documents/policy--collections-dunning-runbook.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"collection_letter_level": "2", "last_payment_amount": 22400.0, "last_payment_date": "2026-02-20", "open_balance": 28450.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-036-collections-sparrow", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark:erp_qa/Collection Letters + Payment History; customer injected by task seed (Contoso demo US-008)", "provenance": "ported", "version": "1.0.0", "walk_len": 5, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 16:40**\n\nSparrow Retail is on tomorrow's agenda. Where are we with them, and have they paid us anything lately?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["2"], "field": "collection_letter_level", "type": "contains_all"}, {"expect": ["2026-02-20"], "field": "last_payment_date", "type": "contains_all"}, {"expect": 22400.0, "field": "last_payment_amount", "tol_abs": 0.01, "type": "number"}, {"expect": 28450.0, "field": "open_balance", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-036-collections-sparrow", "task_name": "erp_qa/collections-sparrow", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-037-collections-sparrow-esc-burie-quiet/documents/policy--collections-dunning-runbook.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"collection_letter_level": "2", "last_payment_amount": 22400.0, "last_payment_date": "2026-02-20", "open_balance": 28450.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-037-collections-sparrow-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of erp_qa/collections-sparrow via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Collection Letters + Payment History; customer injected by task seed (Contoso demo US-008)", "provenance": "variant", "version": "1.0.0", "walk_len": 5, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 16:40**\n\nSparrow Retail is on tomorrow's agenda. Where are we with them, and have they paid us anything lately?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["2"], "field": "collection_letter_level", "type": "contains_all"}, {"expect": ["2026-02-20"], "field": "last_payment_date", "type": "contains_all"}, {"expect": 22400.0, "field": "last_payment_amount", "tol_abs": 0.01, "type": "number"}, {"expect": 28450.0, "field": "open_balance", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-037-collections-sparrow-esc-burie-quiet", "task_name": "erp_qa/collections-sparrow-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"credit_limit": 25000, "customer_name": "A. Datum Corporation"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "easy", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-038-credit-limit-adatum", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark:erp_qa/Credit Limit (query verbatim; GT recomputed in-world)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 10:02**\n\nSales wants to push an order through for SYNCUS-0001. What's their limit?\n", "rubric": {"checks": {"answer_checks": [{"expect": 25000, "field": "credit_limit", "tol_abs": 0.01, "type": "number"}, {"expect": ["datum"], "field": "customer_name", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-038-credit-limit-adatum", "task_name": "erp_qa/credit-limit-adatum", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"credit_limit": 25000, "customer_name": "A. Datum Corporation"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "easy", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-039-credit-limit-adatum-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of erp_qa/credit-limit-adatum via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Credit Limit (query verbatim; GT recomputed in-world)", "provenance": "variant", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 10:02**\n\nSales wants to push an order through for SYNCUS-0001. What's their limit?\n", "rubric": {"checks": {"answer_checks": [{"expect": 25000, "field": "credit_limit", "tol_abs": 0.01, "type": "number"}, {"expect": ["datum"], "field": "customer_name", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-039-credit-limit-adatum-esc-burie-quiet", "task_name": "erp_qa/credit-limit-adatum-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"invoice_count": 0, "invoice_numbers": "none"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-040-due-next-week-adventure", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark pattern: deliberately-empty ground truths (hallucination traps)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 09:30**\n\nBuilding next week's call list. Anything of Adventure Works Cycles' (SYNCUS-0002) falling due in the next seven days?\n", "rubric": {"checks": {"answer_checks": [{"expect": 0, "field": "invoice_count", "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0 AND due_date>'2026-03-02' AND due_date<='2026-03-09'", "tol_abs": 0, "type": "number"}, {"field": "invoice_numbers", "type": "none_answer"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-040-due-next-week-adventure", "task_name": "erp_qa/due-next-week-adventure", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"invoice_count": 0, "invoice_numbers": "none"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-041-due-next-week-adventure-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of erp_qa/due-next-week-adventure via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark pattern: deliberately-empty ground truths (hallucination traps)", "provenance": "variant", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams 09:30**\n\nBuilding next week's call list. Anything of Adventure Works Cycles' (SYNCUS-0002) falling due in the next seven days?\n", "rubric": {"checks": {"answer_checks": [{"expect": 0, "field": "invoice_count", "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0 AND due_date>'2026-03-02' AND due_date<='2026-03-09'", "tol_abs": 0, "type": "number"}, {"field": "invoice_numbers", "type": "none_answer"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-041-due-next-week-adventure-esc-burie-quiet", "task_name": "erp_qa/due-next-week-adventure-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"current_not_due": 5817896.81, "days_1_30": 3917195.87, "days_31_60": 2314492.37, "days_61_90": 2499959.29, "days_over_90": 16369769.19}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-042-aged-balance-12", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nWhat is the total balance of unpaid transactions for all customers by aging bucket within USMF as of March 2, 2026?\n", "rubric": {"checks": {"answer_checks": [{"expect": 5817896.81, "field": "current_not_due", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) <= 0", "tol_abs": 0.02, "type": "number"}, {"expect": 3917195.87, "field": "days_1_30", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 0 AND julianday('2026-03-02') - julianday(due_date) <= 30", "tol_abs": 0.02, "type": "number"}, {"expect": 2314492.37, "field": "days_31_60", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 30 AND julianday('2026-03-02') - julianday(due_date) <= 60", "tol_abs": 0.02, "type": "number"}, {"expect": 2499959.29, "field": "days_61_90", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 60 AND julianday('2026-03-02') - julianday(due_date) <= 90", "tol_abs": 0.02, "type": "number"}, {"expect": 16369769.19, "field": "days_over_90", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 90", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-042-aged-balance-12", "task_name": "erp_qa_fb/aged-balance-12", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"not_yet_due": 376.41, "over_90_days": 0.0, "total_past_due": 1084.11}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-043-aged-balance-6", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nCould you provide the breakdown of overdue receivables for Birch Company in USMF as of March 2, 2026?\n", "rubric": {"checks": {"answer_checks": [{"expect": 1084.11, "field": "total_past_due", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE account IN ('US-027') AND txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 0", "tol_abs": 0.02, "type": "number"}, {"expect": 376.41, "field": "not_yet_due", "tol_abs": 0.02, "type": "number"}, {"expect": 0.0, "field": "over_90_days", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-043-aged-balance-6", "task_name": "erp_qa_fb/aged-balance-6", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"invoice_count": 434, "past_due_180_plus_total": 9903381.01}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-044-aged-balance-7", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nWhat is the total balance of unpaid customer receivables transactions for 180+ days in USMF as of March 2, 2026\n", "rubric": {"checks": {"answer_checks": [{"expect": 434, "field": "invoice_count", "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 180", "tol_abs": 0, "type": "number"}, {"expect": 9903381.01, "field": "past_due_180_plus_total", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 180", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-044-aged-balance-7", "task_name": "erp_qa_fb/aged-balance-7", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"not_yet_due": 376.41, "over_90_days": 0.0, "total_past_due": 1084.11}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-045-aged-balance-8", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nWhat is the aged balance for Birch Company in USMF as of March 2, 2026?\n", "rubric": {"checks": {"answer_checks": [{"expect": 1084.11, "field": "total_past_due", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE account IN ('US-027') AND txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 0", "tol_abs": 0.02, "type": "number"}, {"expect": 376.41, "field": "not_yet_due", "tol_abs": 0.02, "type": "number"}, {"expect": 0.0, "field": "over_90_days", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-045-aged-balance-8", "task_name": "erp_qa_fb/aged-balance-8", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"invoices_due_this_week_count": 58, "invoices_due_this_week_total": 1540586.74}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erp_qa_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-046-ap-invoices-3", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark erp_qa (AP / AP Invoices); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams**\n\nWhich vendor invoices are due for payment this week in USMF?\n", "rubric": {"checks": {"answer_checks": [{"expect": 58, "field": "invoices_due_this_week_count", "gt_sql": "SELECT COUNT(*) FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date BETWEEN '2026-03-02' AND '2026-03-08'", "tol_abs": 0, "type": "number"}, {"expect": 1540586.74, "field": "invoices_due_this_week_total", "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date BETWEEN '2026-03-02' AND '2026-03-08'", "tol_abs": 0.02, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-046-ap-invoices-3", "task_name": "erp_qa_fb/ap-invoices-3", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 638, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1595, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 282, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2771.11)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 664198.04, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 6862.0, "orders_accepted": 29, "orders_rejected": 0, "units_manufactured": 282, "units_purchased": 1595}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2141_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 94, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nEnsure all these Portable Power Station 3kWh customer orders are supplied on schedule:\n\n- Solace Collective: 19 units due in 8 days (pretax budget cap $55,306)\n- Stonewall Research: 22 units due in 8 days (pretax budget cap $67,564)\n- Canton Trust: 22 units due in 8 days (pretax budget cap $65,613)\n- Clearwater Productions: 18 units due in 8 days (pretax budget cap $51,374)\n- Cobalt Innovations: 19 units due in 8 days (pretax budget cap $56,217)\n- Polar Cooperative: 20 units due in 8 days (pretax budget cap $61,053)\n- Marble Interactive: 32 units due in 9 days (pretax budget cap $95,218)\n- Sapphire Boutique: 19 units due in 9 days (pretax budget cap $56,037)\n- Lance Consortium: 18 units due in 9 days (pretax budget cap $51,002)\n- Noble Initiative: 18 units due in 9 days (pretax budget cap $50,942)\n- Crown Pictures: 18 units due in 9 days (pretax budget cap $53,056)\n- Lakewood Refinery: 19 units due in 9 days (pretax budget cap $58,253)\n- Haven Studios North: 25 units due in 9 days (pretax budget cap $76,512)\n- Bridgeway Chambers: 20 units due in 10 days (pretax budget cap $61,820)\n- Cardinal Dynamics: 32 units due in 10 days (pretax budget cap $98,260)\n- Oakmont Foundry: 21 units due in 11 days (pretax budget cap $59,760)\n- Catalyst Bureau: 25 units due in 11 days (pretax budget cap $71,903)\n- Alpine Theater: 18 units due in 11 days (pretax budget cap $53,484)\n- Lattice Technologies: 19 units due in 11 days (pretax budget cap $53,913)\n- Horizon Publishing: 22 units due in 11 days (pretax budget cap $66,084)\n- Globe Conservatory: 19 units due in 11 days (pretax budget cap $58,412)\n- Ironwood Forum: 31 units due in 12 days (pretax budget cap $96,027)\n- Brookfield Robotics: 23 units due in 12 days (pretax budget cap $68,639)\n- Ridgeline Sciences: 19 units due in 12 days (pretax budget cap $58,583)\n- Blaze Alliance: 25 units due in 13 days (pretax budget cap $73,118)\n- Meridian Atelier: 24 units due in 13 days (pretax budget cap $69,836)\n- Compass Institute: 19 units due in 13 days (pretax budget cap $58,252)\n- Steel Outfitters: 32 units due in 13 days (pretax budget cap $95,959)\n- Trellis Workshop: 20 units due in 13 days (pretax budget cap $59,420)\n\nCurrent finished-goods stock is 256 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 29.2% at selling price.\n\n## Background & Policy\n\n* Fulfill all customer orders while preserving as much shared workcenter capacity as possible for other scheduled work. If more than one feasible plan uses the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 29.2% new-spend margin at selling price.\n* Available finished stock can be used where it helps keep shared workcenter capacity open.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Before releasing anything, read the Internal Notes/comments on stock, customers, vendors, and workcenters.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 6862.0, "field": "assembly_cost", "tol_abs": 34.31, "type": "number"}, {"expect": 29, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 1595, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 282, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 638, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1595, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 282, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2771.11)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 664198.04, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned", "task_name": "erpbench/2141-hard-15-parallel-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 480, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 3202, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 753, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5368.26)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 225259.64, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 18323.0, "orders_accepted": 24, "orders_rejected": 0, "units_manufactured": 753, "units_purchased": 3202}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2143_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 98, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nAll orders below for LFP Energy Storage Module 51.2V need confirmed supply coverage and scheduling.\n\n- Ashford Ventures: 18 units due in 8 days (pretax budget cap $105,479)\n- Spark Architects: 18 units due in 8 days (pretax budget cap $106,836)\n- Cipher Partners: 20 units due in 8 days (pretax budget cap $116,691)\n- Spectra Agency: 19 units due in 8 days (pretax budget cap $104,471)\n- Nexus Pictures: 21 units due in 8 days (pretax budget cap $117,741)\n- Arbor Group: 19 units due in 9 days (pretax budget cap $107,214)\n- Monarch Designs: 18 units due in 9 days (pretax budget cap $100,637)\n- Meridian Exchange: 21 units due in 9 days (pretax budget cap $123,501)\n- Summit Advisory: 18 units due in 9 days (pretax budget cap $106,895)\n- Raven Workspaces: 19 units due in 10 days (pretax budget cap $113,369)\n- Metro Creative: 18 units due in 10 days (pretax budget cap $105,245)\n- Flux Refinery: 20 units due in 10 days (pretax budget cap $118,815)\n- Zenith Analytics: 19 units due in 10 days (pretax budget cap $106,533)\n- Axis Collective East: 18 units due in 10 days (pretax budget cap $106,262)\n- Sterling Solutions Group: 22 units due in 10 days (pretax budget cap $128,995)\n- Haven Workshop: 32 units due in 11 days (pretax budget cap $177,998)\n- Alpine Hub: 18 units due in 11 days (pretax budget cap $101,263)\n- Anvil Clinics: 19 units due in 11 days (pretax budget cap $110,223)\n- Dune Productions: 18 units due in 11 days (pretax budget cap $101,580)\n- Echo Institute: 21 units due in 12 days (pretax budget cap $121,275)\n- Orbital Society: 25 units due in 12 days (pretax budget cap $141,525)\n- Sapphire Enterprises: 18 units due in 12 days (pretax budget cap $105,679)\n- Matrix Media: 18 units due in 13 days (pretax budget cap $104,802)\n- Stratos Academy: 23 units due in 13 days (pretax budget cap $135,124)\n\nCurrent finished-goods stock is 192 units. Any shortfall can be handled with finished-goods buying, in-house manufacturing, or a mix that still satisfies policy.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 27.1% at selling price.\n\n## Background & Policy\n\n* Cover every customer order while using as little shared workcenter capacity as practical. If multiple feasible plans use the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 27.1% new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 18323.0, "field": "assembly_cost", "tol_abs": 91.615, "type": "number"}, {"expect": 24, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 3202, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 753, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 480, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 3202, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 753, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5368.26)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 225259.64, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned", "task_name": "erpbench/2143-hard-15-parallel-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 520, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 2841, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 408, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2860.79)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 431224.32, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 9928.0, "orders_accepted": 26, "orders_rejected": 0, "units_manufactured": 408, "units_purchased": 2841}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2144_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 92, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nAll orders below for Portable Power Station 3kWh need confirmed supply coverage and scheduling.\n\n- Marble Observatory: 19 units due in 8 days (pretax budget cap $58,130)\n- Forge Dynamics: 18 units due in 8 days (pretax budget cap $57,406)\n- Aurora Collective East: 18 units due in 8 days (pretax budget cap $54,431)\n- Ember Arena: 18 units due in 8 days (pretax budget cap $55,690)\n- Crown Works: 21 units due in 8 days (pretax budget cap $65,303)\n- Hartland Theater: 18 units due in 8 days (pretax budget cap $55,782)\n- Haven Productions: 19 units due in 8 days (pretax budget cap $57,965)\n- Monarch Reserve: 20 units due in 8 days (pretax budget cap $60,246)\n- Metro Atelier: 24 units due in 9 days (pretax budget cap $76,407)\n- Meridian Publishing: 18 units due in 9 days (pretax budget cap $52,527)\n- Summit Advisory: 21 units due in 9 days (pretax budget cap $63,638)\n- Oxide Studios North: 18 units due in 9 days (pretax budget cap $55,107)\n- Oakmont Workshop: 23 units due in 10 days (pretax budget cap $67,454)\n- Flint Solutions Group: 20 units due in 10 days (pretax budget cap $64,080)\n- Helix Studios West: 27 units due in 10 days (pretax budget cap $79,359)\n- Sterling Pavilion: 19 units due in 11 days (pretax budget cap $56,080)\n- Quantum Architects: 18 units due in 11 days (pretax budget cap $54,496)\n- Cardinal Trading Co: 18 units due in 11 days (pretax budget cap $53,629)\n- Aegis Society: 22 units due in 11 days (pretax budget cap $68,840)\n- Ironside Alliance: 20 units due in 12 days (pretax budget cap $63,101)\n- Northbridge Manufactory: 21 units due in 12 days (pretax budget cap $64,478)\n- Crest Sciences: 18 units due in 13 days (pretax budget cap $54,838)\n- Baltic Consortium: 23 units due in 13 days (pretax budget cap $67,443)\n- Trident Technologies: 21 units due in 13 days (pretax budget cap $62,643)\n- Axis Partners: 19 units due in 13 days (pretax budget cap $57,175)\n- Scion Museum: 19 units due in 13 days (pretax budget cap $56,782)\n\nOn-hand finished stock covers 208 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 26.9% at selling price.\n\n## Background & Policy\n\n* Fulfill all customer orders while preserving as much shared workcenter capacity as possible for other scheduled work. If more than one feasible plan uses the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* The combined units covered through new purchasing or manufacturing must clear at least 26.9% portfolio-level new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Check Internal Notes/comments on stock, customers, vendors, and workcenters before you release anything.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 9928.0, "field": "assembly_cost", "tol_abs": 49.64, "type": "number"}, {"expect": 26, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 2841, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 408, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 520, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 2841, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 408, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2860.79)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 431224.32, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned", "task_name": "erpbench/2144-hard-15-parallel-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 690, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 4752, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 597, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-16199.21)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 2566256.86, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 14527.0, "orders_accepted": 30, "orders_rejected": 0, "units_manufactured": 597, "units_purchased": 4752}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2146_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 104, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nAll orders below for Modular Rack Battery System 20kWh need confirmed supply coverage and scheduling.\n\n- Beacon Arena: 20 units due in 8 days (pretax budget cap $352,056)\n- Dune Enterprises: 19 units due in 8 days (pretax budget cap $327,706)\n- Meridian Advisory: 18 units due in 8 days (pretax budget cap $303,628)\n- Aether Consortium: 20 units due in 8 days (pretax budget cap $359,031)\n- Sierra Clinics: 19 units due in 9 days (pretax budget cap $342,730)\n- Axis Robotics: 20 units due in 9 days (pretax budget cap $359,410)\n- Trident Research: 29 units due in 9 days (pretax budget cap $505,931)\n- Westfield Archive: 18 units due in 9 days (pretax budget cap $314,483)\n- Bridgeway Trading Co: 22 units due in 9 days (pretax budget cap $364,608)\n- Quantum Initiative: 19 units due in 10 days (pretax budget cap $322,719)\n- Catalyst Council: 20 units due in 10 days (pretax budget cap $352,781)\n- Cipher Lyceum: 23 units due in 10 days (pretax budget cap $389,731)\n- Blaze Greenhouse: 19 units due in 10 days (pretax budget cap $328,371)\n- Peak Workspaces: 22 units due in 10 days (pretax budget cap $363,871)\n- Ivory Studios North: 25 units due in 10 days (pretax budget cap $423,873)\n- Hartland Theater: 18 units due in 11 days (pretax budget cap $311,063)\n- Oakmont Society: 28 units due in 11 days (pretax budget cap $482,909)\n- Citadel Studios: 32 units due in 11 days (pretax budget cap $556,306)\n- Grove Bureau: 24 units due in 11 days (pretax budget cap $412,467)\n- Gateway Institute: 31 units due in 11 days (pretax budget cap $519,842)\n- Flux Chambers: 21 units due in 11 days (pretax budget cap $356,602)\n- Arrow Agency: 21 units due in 12 days (pretax budget cap $356,370)\n- Nexus Group: 25 units due in 12 days (pretax budget cap $416,876)\n- Spark Museum: 32 units due in 12 days (pretax budget cap $543,868)\n- Raven Studios West: 25 units due in 12 days (pretax budget cap $424,692)\n- Quartz Pictures: 25 units due in 13 days (pretax budget cap $429,558)\n- Metro Studios South: 20 units due in 13 days (pretax budget cap $334,544)\n- Ridge Workshop: 18 units due in 13 days (pretax budget cap $300,811)\n- Aegis Conservatory: 25 units due in 13 days (pretax budget cap $430,898)\n- Cobalt Pavilion: 32 units due in 13 days (pretax budget cap $529,235)\n\nWe have 276 finished units on hand. If stock is not enough, you can cover the gap by buying finished goods, building in-house, or using a mix of both.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 25% at selling price.\n\n## Background & Policy\n\n* Cover every customer order while using as little shared workcenter capacity as practical. If multiple feasible plans use the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 25% new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Check Internal Notes/comments on stock, customers, vendors, and workcenters before you release anything.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 14527.0, "field": "assembly_cost", "tol_abs": 72.635, "type": "number"}, {"expect": 30, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 4752, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 597, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 690, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 4752, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 597, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-16199.21)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 2566256.86, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned", "task_name": "erpbench/2146-hard-15-parallel-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 775, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 5820, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 624, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5081.48)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 1101367.17, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 15184.0, "orders_accepted": 31, "orders_rejected": 0, "units_manufactured": 624, "units_purchased": 5820}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2147_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 99, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nPrepare a fulfillment strategy for all listed LFP Energy Storage Module 51.2V orders to meet due dates and avoid shortages.\n\n- Metro Greenhouse: 19 units due in 8 days (pretax budget cap $103,396)\n- Velocity Supply Co: 18 units due in 8 days (pretax budget cap $96,004)\n- Cipher Pictures: 18 units due in 8 days (pretax budget cap $94,282)\n- Mosaic Collective East: 27 units due in 9 days (pretax budget cap $152,485)\n- Flux Creative: 32 units due in 9 days (pretax budget cap $170,208)\n- Ember Brands: 28 units due in 9 days (pretax budget cap $153,141)\n- Grove Collective: 18 units due in 9 days (pretax budget cap $96,124)\n- Evergreen Lyceum: 30 units due in 9 days (pretax budget cap $165,761)\n- Ridgeline Solutions Group: 28 units due in 9 days (pretax budget cap $146,640)\n- Quartz Studios: 19 units due in 9 days (pretax budget cap $103,705)\n- Aurora Trading Co: 20 units due in 10 days (pretax budget cap $113,434)\n- Raven Studios East: 18 units due in 10 days (pretax budget cap $101,750)\n- Horizon Agency: 20 units due in 10 days (pretax budget cap $103,718)\n- Ridge Forum: 21 units due in 11 days (pretax budget cap $111,977)\n- Globe Reserve: 26 units due in 11 days (pretax budget cap $136,052)\n- Aether Interactive: 32 units due in 11 days (pretax budget cap $168,986)\n- Atlas Office: 28 units due in 11 days (pretax budget cap $151,150)\n- Matrix Media: 23 units due in 11 days (pretax budget cap $128,934)\n- Stonewall Dynamics: 18 units due in 11 days (pretax budget cap $94,525)\n- Citadel Group: 32 units due in 11 days (pretax budget cap $181,044)\n- Lumen Manufactory: 23 units due in 12 days (pretax budget cap $126,189)\n- Gateway Conservatory: 20 units due in 12 days (pretax budget cap $107,844)\n- Comet Fabricators: 25 units due in 12 days (pretax budget cap $139,441)\n- Steel Analytics: 32 units due in 12 days (pretax budget cap $178,581)\n- Beacon Outfitters: 20 units due in 13 days (pretax budget cap $104,708)\n- Indigo Holdings: 20 units due in 13 days (pretax budget cap $103,868)\n- Monarch Advisory: 32 units due in 13 days (pretax budget cap $178,229)\n- Pinnacle Ventures: 32 units due in 13 days (pretax budget cap $181,485)\n- Apex Pavilion: 32 units due in 13 days (pretax budget cap $170,611)\n- Oxide Museum: 32 units due in 13 days (pretax budget cap $175,796)\n- Catalyst Guild: 32 units due in 13 days (pretax budget cap $168,880)\n\nWe have 310 finished units on hand. Any shortfall can be handled with finished-goods buying, in-house manufacturing, or a mix that still satisfies policy.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 27.4% at selling price.\n\n## Background & Policy\n\n* Get every customer order covered while keeping as much shared workcenter capacity open as possible. Keep new purchasing and manufacturing spend as low as possible when workcenter-capacity use ties.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 27.4% new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Before releasing anything, read the Internal Notes/comments on stock, customers, vendors, and workcenters.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 15184.0, "field": "assembly_cost", "tol_abs": 75.92, "type": "number"}, {"expect": 31, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 5820, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 624, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 775, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 5820, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 624, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5081.48)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 1101367.17, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned", "task_name": "erpbench/2147-hard-15-parallel-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 806, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 2755, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 645, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4284.53)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 841468.02, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 15695.0, "orders_accepted": 31, "orders_rejected": 0, "units_manufactured": 645, "units_purchased": 2755}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2149_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 98, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nThe following customer orders for Solar Storage Battery Wall-Mount require confirmed supply to proceed with fulfillment:\n\n- Globe Media: 18 units due in 8 days (pretax budget cap $84,262)\n- Baseline Bureau: 29 units due in 8 days (pretax budget cap $128,511)\n- Keystone Trading Co: 19 units due in 8 days (pretax budget cap $90,783)\n- Blaze Society: 27 units due in 9 days (pretax budget cap $128,077)\n- Bridgeway Reserve: 21 units due in 9 days (pretax budget cap $99,938)\n- Quantum Atelier: 25 units due in 9 days (pretax budget cap $111,546)\n- Terra Systems: 32 units due in 10 days (pretax budget cap $145,536)\n- Ivory Forum: 24 units due in 10 days (pretax budget cap $114,766)\n- Polar Foundry: 18 units due in 10 days (pretax budget cap $86,070)\n- Mosaic Robotics: 22 units due in 10 days (pretax budget cap $97,604)\n- Pinnacle Guild: 22 units due in 10 days (pretax budget cap $105,497)\n- Trellis Institute: 22 units due in 10 days (pretax budget cap $101,082)\n- Copper Technologies: 19 units due in 11 days (pretax budget cap $86,294)\n- Horizon Studios South: 29 units due in 11 days (pretax budget cap $130,871)\n- Slate Manufactory: 25 units due in 11 days (pretax budget cap $113,789)\n- Indigo Studios East: 20 units due in 11 days (pretax budget cap $94,017)\n- Stonewall Conservatory: 19 units due in 11 days (pretax budget cap $85,194)\n- Oakmont Museum: 18 units due in 11 days (pretax budget cap $78,678)\n- Westfield Innovations: 19 units due in 11 days (pretax budget cap $89,195)\n- Axis Group: 28 units due in 12 days (pretax budget cap $128,546)\n- Skyline Alliance: 32 units due in 12 days (pretax budget cap $143,165)\n- Vertex Architects: 32 units due in 12 days (pretax budget cap $144,488)\n- Marble Greenhouse: 30 units due in 12 days (pretax budget cap $139,936)\n- Lumen Archive: 32 units due in 12 days (pretax budget cap $152,015)\n- Cosmo Designs: 32 units due in 12 days (pretax budget cap $140,371)\n- Dune Hub: 32 units due in 12 days (pretax budget cap $144,744)\n- Pivot Interactive: 32 units due in 12 days (pretax budget cap $142,630)\n- Noble Dynamics: 32 units due in 13 days (pretax budget cap $153,425)\n- Sentinel Analytics: 32 units due in 13 days (pretax budget cap $140,958)\n- Gateway Exchange: 32 units due in 13 days (pretax budget cap $150,107)\n- Echo Advisory: 32 units due in 13 days (pretax budget cap $140,604)\n\nCurrent finished-goods stock is 323 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 26.3% at selling price.\n\n## Background & Policy\n\n* Get every customer order covered while keeping as much shared workcenter capacity open as possible. Keep new purchasing and manufacturing spend as low as possible when workcenter-capacity use ties.\n* The combined units covered through new purchasing or manufacturing must clear at least 26.3% portfolio-level new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 15695.0, "field": "assembly_cost", "tol_abs": 78.47500000000001, "type": "number"}, {"expect": 31, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 2755, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 645, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 806, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 2755, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 645, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4284.53)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 841468.02, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned", "task_name": "erpbench/2149-hard-15-parallel-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 713, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1148, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 558, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-3905.52)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 780504.33, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 13578.0, "orders_accepted": 31, "orders_rejected": 0, "units_manufactured": 558, "units_purchased": 1148}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2160_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 91, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nEach customer order below requires a fulfillment-ready supply solution before its delivery due date:\n\n- Garnet Guild: 32 units due in 8 days (pretax budget cap $132,393)\n- Terra Workshop: 21 units due in 8 days (pretax budget cap $91,224)\n- Titan Studios East: 18 units due in 8 days (pretax budget cap $73,335)\n- Eclipse Arena: 22 units due in 8 days (pretax budget cap $93,124)\n- Vantage Trust: 18 units due in 8 days (pretax budget cap $78,142)\n- Sapphire Engineering: 19 units due in 8 days (pretax budget cap $78,343)\n- Sterling Brands: 28 units due in 9 days (pretax budget cap $111,635)\n- Opal Exchange: 20 units due in 9 days (pretax budget cap $86,024)\n- Mosaic Partners: 18 units due in 9 days (pretax budget cap $77,949)\n- Quartz Pavilion: 18 units due in 9 days (pretax budget cap $77,673)\n- Northbridge Sciences: 21 units due in 10 days (pretax budget cap $86,710)\n- Compass Initiative: 29 units due in 10 days (pretax budget cap $120,205)\n- Brookfield Supply Co: 18 units due in 10 days (pretax budget cap $72,756)\n- Onyx Advisory: 29 units due in 10 days (pretax budget cap $126,004)\n- Spectra Workspaces: 19 units due in 11 days (pretax budget cap $80,170)\n- Ashford Consortium: 21 units due in 11 days (pretax budget cap $84,629)\n- Meridian Agency: 19 units due in 11 days (pretax budget cap $80,357)\n- Helix Publishing: 21 units due in 11 days (pretax budget cap $89,157)\n- Iron Research: 21 units due in 12 days (pretax budget cap $86,451)\n- Blaze Collective East: 24 units due in 12 days (pretax budget cap $102,909)\n- Cedar Creative: 18 units due in 12 days (pretax budget cap $76,823)\n- Echo Interactive: 19 units due in 12 days (pretax budget cap $81,671)\n- Nexus Innovations: 19 units due in 12 days (pretax budget cap $79,663)\n- Borough Archive: 32 units due in 12 days (pretax budget cap $138,783)\n- Gateway Greenhouse: 26 units due in 12 days (pretax budget cap $103,838)\n- Nimbus Forum: 27 units due in 12 days (pretax budget cap $116,870)\n- Baseline Conservatory: 21 units due in 12 days (pretax budget cap $88,888)\n- Crest Theater: 22 units due in 13 days (pretax budget cap $96,020)\n- Peak Productions: 29 units due in 13 days (pretax budget cap $116,357)\n- Horizon Designs: 32 units due in 13 days (pretax budget cap $137,250)\n- Ridge Group: 32 units due in 13 days (pretax budget cap $136,365)\n\nCurrent finished-goods stock is 286 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 28.8% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 28.8% new-spend margin at selling price.\n* Finance considers the existing stock as sunk cost.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Check Internal Notes/comments on stock, customers, vendors, and workcenters before you release anything.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 13578.0, "field": "assembly_cost", "tol_abs": 67.89, "type": "number"}, {"expect": 31, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 1148, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 558, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 713, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1148, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 558, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-3905.52)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 780504.33, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned", "task_name": "erpbench/2160-hard-17-shared-component-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 750, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1052, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 468, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5565.51)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 1437841.98, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 11388.0, "orders_accepted": 30, "orders_rejected": 0, "units_manufactured": 468, "units_purchased": 1052}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2161_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 91, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nThe following customer orders for Dry Pipe Sprinkler System require confirmed supply to proceed with fulfillment:\n\n- Blaze Group: 19 units due in 8 days (pretax budget cap $113,022)\n- Forge Pavilion: 22 units due in 8 days (pretax budget cap $128,379)\n- Spark Arena: 20 units due in 8 days (pretax budget cap $119,848)\n- Matrix Observatory: 30 units due in 8 days (pretax budget cap $174,138)\n- Compass Works: 18 units due in 9 days (pretax budget cap $108,299)\n- Garnet Designs: 19 units due in 9 days (pretax budget cap $113,968)\n- Stonewall Labs: 32 units due in 9 days (pretax budget cap $182,563)\n- Echo Practice: 28 units due in 9 days (pretax budget cap $170,062)\n- Zenith Collective: 24 units due in 9 days (pretax budget cap $140,222)\n- Bayshore Manufactory: 19 units due in 10 days (pretax budget cap $109,360)\n- Cosmo Greenhouse: 32 units due in 11 days (pretax budget cap $194,916)\n- Chrome Interactive: 32 units due in 11 days (pretax budget cap $186,583)\n- Brookfield Gallery: 22 units due in 11 days (pretax budget cap $131,615)\n- Cobalt Archive: 21 units due in 11 days (pretax budget cap $129,146)\n- Drift Academy: 23 units due in 11 days (pretax budget cap $134,155)\n- Marble Systems: 19 units due in 11 days (pretax budget cap $113,553)\n- Evergreen Brands: 32 units due in 11 days (pretax budget cap $195,541)\n- Mosaic Analytics: 32 units due in 11 days (pretax budget cap $185,532)\n- Anvil Trading Co: 18 units due in 11 days (pretax budget cap $105,626)\n- Ledger Ventures: 18 units due in 11 days (pretax budget cap $111,601)\n- Crest Workshop: 22 units due in 12 days (pretax budget cap $132,165)\n- Osprey Dynamics: 19 units due in 12 days (pretax budget cap $110,270)\n- Trident Hub: 18 units due in 12 days (pretax budget cap $109,093)\n- Lakewood Workspaces: 21 units due in 12 days (pretax budget cap $127,574)\n- Metro Fabricators: 30 units due in 12 days (pretax budget cap $172,392)\n- Haven Technologies: 32 units due in 13 days (pretax budget cap $191,841)\n- Titan Reserve: 32 units due in 13 days (pretax budget cap $196,937)\n- Aegis Conservatory: 32 units due in 13 days (pretax budget cap $186,232)\n- Quartz Exchange: 32 units due in 13 days (pretax budget cap $194,566)\n- Ridgeline Enterprises: 32 units due in 13 days (pretax budget cap $191,183)\n\nWe have 300 finished units on hand. If stock is not enough, you can cover the gap by buying finished goods, building in-house, or using a mix of both.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 28.4% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 28.4% new-spend margin at selling price.\n* Accounting treats the existing stock as sunk cost.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 11388.0, "field": "assembly_cost", "tol_abs": 56.94, "type": "number"}, {"expect": 30, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 1052, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 468, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 750, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1052, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 468, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5565.51)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 1437841.98, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned", "task_name": "erpbench/2161-hard-17-shared-component-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 621, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1232, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 546, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-8748.9)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 970240.38, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 13286.0, "orders_accepted": 27, "orders_rejected": 0, "units_manufactured": 546, "units_purchased": 1232}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2168_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 92, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nThe following Foam Deluge System Package customer orders are firm and must be supplied on schedule:\n\n- Zenith Cooperative: 18 units due in 8 days (pretax budget cap $175,969)\n- Conduit Studios North: 18 units due in 8 days (pretax budget cap $165,380)\n- Bayshore Office: 18 units due in 8 days (pretax budget cap $172,571)\n- Skyline Group: 32 units due in 8 days (pretax budget cap $296,374)\n- Canton Conservatory: 23 units due in 8 days (pretax budget cap $206,026)\n- Flint Media: 18 units due in 8 days (pretax budget cap $162,925)\n- Orbital Pavilion: 32 units due in 9 days (pretax budget cap $300,552)\n- Grove Workspaces: 18 units due in 9 days (pretax budget cap $166,463)\n- Crestview Ventures: 22 units due in 10 days (pretax budget cap $196,328)\n- Ledger Bureau: 18 units due in 10 days (pretax budget cap $176,275)\n- Sterling Creative: 23 units due in 11 days (pretax budget cap $206,322)\n- Ironwood Technologies: 20 units due in 11 days (pretax budget cap $193,330)\n- Ridge Manufactory: 20 units due in 11 days (pretax budget cap $192,570)\n- Echo Collective East: 20 units due in 11 days (pretax budget cap $188,568)\n- Quantum Solutions Group: 25 units due in 11 days (pretax budget cap $236,923)\n- Globe Publishing: 28 units due in 11 days (pretax budget cap $269,837)\n- Oxide Architects: 22 units due in 12 days (pretax budget cap $205,473)\n- Ember Fabricators: 26 units due in 12 days (pretax budget cap $243,660)\n- Keystone Agency: 23 units due in 12 days (pretax budget cap $207,313)\n- Opal Guild: 21 units due in 12 days (pretax budget cap $201,598)\n- Matrix Theater: 20 units due in 12 days (pretax budget cap $189,311)\n- Cardinal Exchange: 23 units due in 12 days (pretax budget cap $218,801)\n- Summit Designs: 23 units due in 13 days (pretax budget cap $207,853)\n- Mosaic Lyceum: 21 units due in 13 days (pretax budget cap $189,708)\n- Clearwater Clinics: 25 units due in 13 days (pretax budget cap $234,250)\n- Aegis Analytics: 32 units due in 13 days (pretax budget cap $298,511)\n- Onyx Boutique: 32 units due in 13 days (pretax budget cap $311,419)\n\nOn-hand finished stock covers 249 units. If stock is not enough, you can cover the gap by buying finished goods, building in-house, or using a mix of both.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 29.8% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* Across all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 29.8% at selling price.\n* Accounting treats the existing stock as sunk cost.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 13286.0, "field": "assembly_cost", "tol_abs": 66.43, "type": "number"}, {"expect": 27, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 1232, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 546, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 621, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1232, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 546, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-8748.9)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 970240.38, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned", "task_name": "erpbench/2168-hard-17-shared-component-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 713, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1009, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 636, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4143.04)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 670485.44, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}], "submit_answer": {"assembly_cost": 15476.0, "orders_accepted": 31, "orders_rejected": 0, "units_manufactured": 636, "units_purchased": 1009}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "erpbench", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of agentic-labs/erp-bench task 2170_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 98, "walk_servers": ["harness", "odoo"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nPrepare a fulfillment strategy for all listed Fire Alarm Control Panel FACP orders to meet due dates and avoid shortages.\n\n- Crown Trust: 18 units due in 8 days (pretax budget cap $76,849)\n- Bayshore Dynamics: 19 units due in 8 days (pretax budget cap $88,079)\n- Summit Lyceum: 24 units due in 8 days (pretax budget cap $108,956)\n- Aether Pavilion: 24 units due in 8 days (pretax budget cap $104,863)\n- Equinox Society: 18 units due in 8 days (pretax budget cap $78,824)\n- Sapphire Boutique: 18 units due in 9 days (pretax budget cap $80,144)\n- Quartz Engineering: 23 units due in 9 days (pretax budget cap $100,283)\n- Trident Labs: 21 units due in 9 days (pretax budget cap $95,134)\n- Scion Supply Co: 18 units due in 9 days (pretax budget cap $77,786)\n- Nimbus Solutions Group: 25 units due in 10 days (pretax budget cap $109,235)\n- Crestview Forum: 24 units due in 10 days (pretax budget cap $104,160)\n- Arbor Academy: 25 units due in 10 days (pretax budget cap $110,200)\n- Chrome Analytics: 22 units due in 10 days (pretax budget cap $97,251)\n- Atlas Agency: 21 units due in 10 days (pretax budget cap $89,989)\n- Osprey Studios West: 30 units due in 10 days (pretax budget cap $134,870)\n- Cipher Brands: 19 units due in 10 days (pretax budget cap $84,792)\n- Grove Manufactory: 18 units due in 11 days (pretax budget cap $80,277)\n- Compass Collective East: 21 units due in 11 days (pretax budget cap $94,971)\n- Pacific Workshop: 18 units due in 12 days (pretax budget cap $79,169)\n- Flint Observatory: 22 units due in 12 days (pretax budget cap $96,872)\n- Comet Arena: 18 units due in 12 days (pretax budget cap $79,861)\n- Eclipse Interactive: 22 units due in 12 days (pretax budget cap $94,032)\n- Axis Bureau: 19 units due in 12 days (pretax budget cap $80,809)\n- Borough Bazaar: 18 units due in 13 days (pretax budget cap $76,082)\n- Gateway Technologies: 30 units due in 13 days (pretax budget cap $130,290)\n- Ridge Workspaces: 18 units due in 13 days (pretax budget cap $81,936)\n- Cobalt Research: 32 units due in 13 days (pretax budget cap $141,224)\n- Catalyst Consortium: 32 units due in 13 days (pretax budget cap $140,917)\n- Quantum Holdings: 32 units due in 13 days (pretax budget cap $143,212)\n- Aurora Chambers: 32 units due in 13 days (pretax budget cap $144,242)\n- Ridgeline Pictures: 32 units due in 13 days (pretax budget cap $136,291)\n\nCurrent finished-goods stock is 286 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 28.4% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* The combined units covered through new purchasing or manufacturing must clear at least 28.4% portfolio-level new-spend margin at selling price.\n* Existing stock is a sunk cost and should not be treated as new spend.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Before releasing anything, read the Internal Notes/comments on stock, customers, vendors, and workcenters.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n", "rubric": {"checks": {"answer_checks": [{"expect": 15476.0, "field": "assembly_cost", "tol_abs": 77.38, "type": "number"}, {"expect": 31, "field": "orders_accepted", "tol_abs": 0, "type": "number"}, {"expect": 0, "field": "orders_rejected", "tol_abs": 0, "type": "number"}, {"expect": 1009, "field": "units_purchased", "tol_abs": 0.01, "type": "number"}, {"expect": 636, "field": "units_manufactured", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": 713, "name": "confirmed_sale_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'", "tol_abs": 0.01, "type": "sql"}, {"expect": 1009, "name": "confirmed_purchase_units", "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_abs": 0.01, "type": "sql"}, {"expect": 636, "name": "confirmed_manufacture_units", "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'", "tol_abs": 0.01, "type": "sql"}, {"expect": 0, "name": "mo_workcenters_exist", "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)", "type": "sql"}, {"expect": 0, "name": "all_lines_at_list_price", "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4143.04)>0.01", "type": "sql"}, {"expect": 0, "name": "po_origin_links_to_so", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')", "type": "sql"}, {"expect": 0, "name": "sale_commitment_dates_set", "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')", "type": "sql"}, {"expect": 0, "name": "purchase_dates_set", "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')", "type": "sql"}, {"expect": 0, "name": "po_lines_match_a_real_offer", "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)", "type": "sql"}, {"expect": 670485.44, "name": "purchase_spend_matches_optimal", "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'", "tol_rel": 0.005, "type": "sql"}, {"tables": ["answers", "erpb_bom_components", "erpb_boms", "erpb_demand", "erpb_manufacturing_orders", "erpb_partners", "erpb_products", "erpb_purchase_order_lines", "erpb_purchase_orders", "erpb_sale_order_lines", "erpb_sale_orders", "erpb_stock", "erpb_vendor_offers", "erpb_workcenters"], "type": "writes_only"}], "trace_checks": [{"servers": ["odoo"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned", "task_name": "erpbench/2170-hard-17-shared-component-subassemblies-branch-assigned", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-057-policy-validation-feb/documents/policy--travel-perdiem-and-substantiation.md", "task_files/lgr100-057-policy-validation-feb/documents/reference--gsa-mie-rate-table.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"conference_mie_rate": 92, "nonaccountable_amount": 612.4, "perdiem_due": 404.0, "reimbursable_total": 2932.5, "structural_exception_line": "EXP-2058", "structural_exception_reason": "A. Okonkwo's Chicago lodging is inside every per-line limit - receipt attached, business purpose stated, 306.20 a night against a 350 cap - but it was incurred 2025-12-08 and first substantiated 2026-02-19, 73 days later, outside the 60 day fixed-date safe harbour, so it falls out of the accountable plan and is paid through payroll as W-2 wages rather than reimbursed tax-free."}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "expense_audit", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-057-policy-validation-feb", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of TheAgentCompany research/external/repos/TheAgentCompany/workspaces/tasks/finance-expense-validation (expense extract + a rules file, find the mis-stated lines, report a per-category rollup). Kept: the spreadsheet-plus-policy surface and the rollup deliverable. Changed: the source grades keyword-to-category matching over 1,000 synthetic rows, which is arithmetic volume, so the port replaces the volume with one judgement — every one of the 13 lines passes the per-line test and the file is still wrong. Policy limits are grounded in research/external/articles/te-expense-audit--{gsa-mie-breakdown,gsa-perdiem-faq,ecfr-accountable-plan,irs}.md (GSA CONUS M&IE tiers and the 75% first/last-day rule, the 12-hour one-day gate, work-location locality rule, provided-meal exceptions, and the 26 CFR 1.62-2 60-day substantiation safe harbour with W-2 consequence). Differs from expense_audit/te-sample-feb, which tests per-line limits (meal cap, business class, missing receipt) and grades a violation count — here no line breaks a limit; and from expense_audit/threshold-shaving-h1, which grades a cross-period behavioural pattern over compliant claims — here the finding is a single line's date arithmetic and its payroll consequence. docs/HARD-LAYER-DESIGN.md M3 (non-collapse), M4 (money re-derivation off the rate table, never the claimed figure), M5 (the provided meal and the venue city live only in email, not in the extract).", "provenance": "ported", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "email", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dev Bhatt · Payroll & Expense Lead · Teams 09:20**\n\nMorning — I need the February expense file signed off before the 5 March payroll cut-off and\nI'd rather you did it than me.\n\nPeople Ops dropped the extract on the shared drive. Everything on it looks clean: receipts are\nattached, nothing's over a cap, nobody flew business. So the per-line check tells me nothing,\nand I don't trust the per diem figures at all — those are whatever the traveller typed into the\nform, and we reprice them ourselves now under FIN-POL-022.\n\nThe other thing I got burned on in Q4: external audit picked up a reimbursement we paid out\ntax-free that shouldn't have been, and it cost me a W-2c. So before you send me a number, look\nat the dates and not just the amounts.\n", "rubric": {"checks": {"answer_checks": [{"expect": 404.0, "field": "perdiem_due", "tol_abs": 0.02, "type": "number"}, {"expect": 92, "field": "conference_mie_rate", "tol_abs": 0.01, "type": "number"}, {"expect": 612.4, "field": "nonaccountable_amount", "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[6]')),2) FROM sheet_rows WHERE file='expense-extract-2026-02.xlsx' AND row_no>1 AND julianday(json_extract(cells,'$[8]')) - julianday(json_extract(cells,'$[3]')) > 60", "tol_abs": 0.02, "type": "number"}, {"expect": 2932.5, "field": "reimbursable_total", "tol_abs": 0.05, "type": "number"}, {"expect": ["EXP-2058"], "field": "structural_exception_line", "forbid": ["EXP-2041", "EXP-2042", "EXP-2043", "EXP-2044", "EXP-2049", "EXP-2050", "EXP-2051", "EXP-2052", "EXP-2055", "EXP-2056", "EXP-2057", "EXP-2059"], "type": "contains_all"}, {"expect": ["60"], "field": "structural_exception_reason", "forbid": ["duplicate", "missing receipt", "no receipt", "over the cap", "exceeds the cap", "business class"], "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs", "email"], "type": "required_servers"}, {"n": 2, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-057-policy-validation-feb", "task_name": "expense_audit/policy-validation-feb", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-058-te-sample-feb/documents/policy--travel-and-expense.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"out_of_policy_amount": 1512.4, "violating_report_ids": "EXP-1042, EXP-1047, EXP-1051", "violation_count": 3, "worst_violation_rule": "business class airfare requires VP pre-approval; economy is the standard"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "expense_audit", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-058-te-sample-feb", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#11 (T&E policy compliance sampling; Ramp-class agents claim >99% automation here)", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 16:15**\n\nFebruary expenses — anything out of policy? I need the exceptions and what they cost us.\n", "rubric": {"checks": {"answer_checks": [{"expect": 3, "field": "violation_count", "tol_abs": 0, "type": "number"}, {"expect": ["EXP-1042", "EXP-1047", "EXP-1051"], "field": "violating_report_ids", "type": "contains_all"}, {"expect": 1512.4, "field": "out_of_policy_amount", "tol_abs": 0.02, "type": "number"}, {"expect": ["business class"], "field": "worst_violation_rule", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-058-te-sample-feb", "task_name": "expense_audit/te-sample-feb", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-059-te-sample-feb-esc-burie-quiet/documents/policy--travel-and-expense.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"out_of_policy_amount": 1512.4, "violating_report_ids": "EXP-1042, EXP-1047, EXP-1051", "violation_count": 3, "worst_violation_rule": "business class airfare requires VP pre-approval; economy is the standard"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "expense_audit", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-059-te-sample-feb-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of expense_audit/te-sample-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#11 (T&E policy compliance sampling; Ramp-class agents claim >99% automation here)", "provenance": "variant", "version": "1.0.0", "walk_len": 4, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 16:15**\n\nFebruary expenses — anything out of policy? I need the exceptions and what they cost us.\n", "rubric": {"checks": {"answer_checks": [{"expect": 3, "field": "violation_count", "tol_abs": 0, "type": "number"}, {"expect": ["EXP-1042", "EXP-1047", "EXP-1051"], "field": "violating_report_ids", "type": "contains_all"}, {"expect": 1512.4, "field": "out_of_policy_amount", "tol_abs": 0.02, "type": "number"}, {"expect": ["business class"], "field": "worst_violation_rule", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-059-te-sample-feb-esc-burie-quiet", "task_name": "expense_audit/te-sample-feb-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-060-threshold-shaving-h1/documents/policy--expense-audit-detectors.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"detector_triggered": "yes", "shaving_claim_count": 6, "shaving_employee": "K. Osei", "shaving_total": 2850.74}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "expense_audit", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-060-threshold-shaving-h1", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/external/articles: Oracle Expenses threshold-shaving detector — claims in the 450-499 band against a 500 receipt threshold, more than 5 times in 6 months", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 11:55**\n\nTime for the periodic expense detectors — last six months. Every claim passed on its own, but run the patterns and tell me if anyone flags.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["osei"], "field": "shaving_employee", "type": "contains_all"}, {"expect": 6, "field": "shaving_claim_count", "tol_abs": 0, "type": "number"}, {"expect": 2850.74, "field": "shaving_total", "tol_abs": 0.02, "type": "number"}, {"expect": "yes", "field": "detector_triggered", "type": "yes_no"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-060-threshold-shaving-h1", "task_name": "expense_audit/threshold-shaving-h1", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"operating_margin_pct": 9.87, "revenue": 71043, "revenue_scale": "millions", "revenue_usd": 71043000000, "source_form": "10-K"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-061-scale-trap-lmt", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "closes tracked coverage gap tatqa.scale_unit (sim/coverage.py); NExTplusplus/TAT-QA grades `scale` (thousand/million/billion/percent) as a separately annotated field — research/evals-and-benchmarks.md; round-2 ledger row 28 (add a scale/unit field rather than widening tolerances until units stop mattering)", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 15:40**\n\nCounterparty pack for Lockheed Martin — I need FY2024 total net sales, and the operating\nmargin off the same filing.\n\nPut the units on it explicitly this time. Last pack went out with a revenue figure copied\nstraight off the statement table and no unit next to it, and it got read as dollars in the\ncommittee. Not repeating that.\n", "rubric": {"checks": {"answer_checks": [{"expect": 71043, "field": "revenue", "tol_rel": 0.001, "type": "number"}, {"expect": "millions", "field": "revenue_scale", "type": "scale"}, {"expect": 71043000000, "field": "revenue_usd", "tol_rel": 0.001, "type": "number"}, {"expect": 9.8715, "field": "operating_margin_pct", "tol_abs": 0.02, "type": "number"}, {"expect": ["10-K"], "field": "source_form", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-061-scale-trap-lmt", "task_name": "finance_qa/scale-trap-lmt", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-062-tac-10k-income-report/documents/policy--external-reporting-basis.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"cost_of_revenue": 642000000, "gross_profit": 840000000, "net_income": 412000000, "operating_income": 313000000, "operating_margin_pct": 21.12, "revenue": 1482000000, "revenue_growth_pct": 14.35, "source_form": "10-K for fiscal year 2025, accession 0009900413-26-000007, Item 8"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-062-tac-10k-income-report", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-create-10k-income-report (extract income-statement figures from 10-K Item 8 for multiple years, compile a structured table, and derive the year-over-year percentage change). The source's plumbing does not port: its ownCloud folder-navigation checkpoint, its written /workspace/net_income_report.csv, and its LLM-judged RocketChat message to David Wong are all environment-specific, and its checkpoint 4 graded an exact CSV cell set. Here the workbook becomes the frozen filings server (filings_companies/filings_facts/filings_documents, seeded as tasks/finance_qa/scale-trap-lmt does), the column structure becomes submit_answer fields, the CSV-shape checkpoint becomes the required_servers/reads_before_submit trace checks, and the derived percentage change is graded as revenue_growth_pct alongside a derived margin. The source's own trap - 'net income ... in section/item 8' and 'the name of registrant as specified in its charter' - is kept and sharpened: docs/HARD-LAYER-DESIGN.md M3 (non-collapse), M4 (the margin and the growth rate are recomputed from revenue and the line items, never read off a stated figure) and M5 (the governing basis lives only in FRP-02)", "provenance": "ported", "version": "1.0.0", "walk_len": 13, "walk_servers": ["docs", "filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Marta Ilyin · FP&A Manager · Teams 09:20**\n\nCalderwood Systems filed their FY2025 annual report last week. They're the comp our board pack\nbenchmarks us against, so I need their income statement summary rebuilt for the comp table on\nThursday, per FRP-02.\n\nTwo things I'd rather not repeat from last quarter. The margin we showed for them was about\nthree points better than the one in their accounts — the committee asked where it came from and\nI had nothing. And the growth line had them shrinking, which nobody in the room believed; it\nturned out we'd measured this year against a prior-year number they no longer report on that\nbasis.\n\nSo: their numbers, off the filing they actually stand behind, and tell me which filing that is.\n", "rubric": {"checks": {"answer_checks": [{"expect": 1482000000, "field": "revenue", "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2025-12-31'", "tol_rel": 0.0005, "type": "number"}, {"expect": 642000000, "field": "cost_of_revenue", "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='CostOfRevenue' AND fy='2025' AND period_end='2025-12-31'", "tol_rel": 0.0005, "type": "number"}, {"expect": 840000000, "field": "gross_profit", "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='GrossProfit' AND fy='2025' AND period_end='2025-12-31'", "tol_rel": 0.0005, "type": "number"}, {"expect": 313000000, "field": "operating_income", "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='OperatingIncomeLoss' AND fy='2025' AND period_end='2025-12-31'", "tol_rel": 0.0005, "type": "number"}, {"expect": 412000000, "field": "net_income", "gt_sql": "SELECT (SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='ProfitLoss' AND fy='2025' AND period_end='2025-12-31') - (SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='NetIncomeLossAttributableToNoncontrollingInterest' AND fy='2025' AND period_end='2025-12-31')", "tol_rel": 0.0005, "type": "number"}, {"expect": 21.1201, "field": "operating_margin_pct", "gt_sql": "SELECT ROUND(100.0*(SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='OperatingIncomeLoss' AND fy='2025' AND period_end='2025-12-31')/(SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2025-12-31'),4)", "tol_abs": 0.06, "type": "number"}, {"expect": 14.3519, "field": "revenue_growth_pct", "gt_sql": "SELECT ROUND(100.0*((SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2025-12-31')/(SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2024-12-31')-1),4)", "tol_abs": 0.06, "type": "number"}, {"expect": ["10-K"], "field": "source_form", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings", "docs"], "type": "required_servers"}, {"n": 4, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-062-tac-10k-income-report", "task_name": "finance_qa/tac-10k-income-report", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"operating_income": 1624000000, "operating_margin_pct": 5.78, "quarter_revenue": 28095000000}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-063-tsla-operating-margin-q3", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark finance_qa (quarterly + format-constrained segment); facts captured from data.sec.gov 2026-08-10", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 15:11**\n\nWhat was Tesla's GAAP operating margin in the September 2025 quarter? Percent to two decimals, plus the two inputs.\n", "rubric": {"checks": {"answer_checks": [{"expect": 5.78, "field": "operating_margin_pct", "tol_abs": 0.02, "type": "number"}, {"expect": 1624000000, "field": "operating_income", "tol_rel": 0.001, "type": "number"}, {"expect": 28095000000, "field": "quarter_revenue", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-063-tsla-operating-margin-q3", "task_name": "finance_qa/tsla-operating-margin-q3", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"operating_income": 1624000000, "operating_margin_pct": 5.78, "quarter_revenue": 28095000000}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of finance_qa/tsla-operating-margin-q3 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark finance_qa (quarterly + format-constrained segment); facts captured from data.sec.gov 2026-08-10", "provenance": "variant", "version": "1.0.0", "walk_len": 4, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 15:11**\n\nWhat was Tesla's GAAP operating margin in the September 2025 quarter? Percent to two decimals, plus the two inputs.\n", "rubric": {"checks": {"answer_checks": [{"expect": 5.78, "field": "operating_margin_pct", "tol_abs": 0.02, "type": "number"}, {"expect": 1624000000, "field": "operating_income", "tol_rel": 0.001, "type": "number"}, {"expect": 28095000000, "field": "quarter_revenue", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-064-tsla-operating-margin-q3-esc-burie-quiet", "task_name": "finance_qa/tsla-operating-margin-q3-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"concepts_checked": "ResearchAndDevelopmentExpense (absent); snapshot holds only CostOfRevenue and InventoryNet for WMT", "figure_available": "no", "rd_expense": "none"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-065-unavailable-concept", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "FinanceBench pattern found in repo sweep: refusal scored separately from a wrong answer (research/external/repos/INDEX.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 13:33**\n\nCommittee asked for Walmart's R&D spend for the year ended 31 January 2025. Can you pull it? Tell me what you checked.\n", "rubric": {"checks": {"answer_checks": [{"expect": "no", "field": "figure_available", "type": "yes_no"}, {"field": "rd_expense", "type": "none_answer"}, {"expect": ["inventory"], "field": "concepts_checked", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-065-unavailable-concept", "task_name": "finance_qa/unavailable-concept", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"average_inventory": 55663500000, "cost_of_revenue": 511753000000, "inventory_turnover": 9.19}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-066-wmt-inventory-turnover", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark finance_qa (ratio segment); facts captured from data.sec.gov 2026-08-10", "provenance": "ported", "version": "1.0.0", "walk_len": 5, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 14:05**\n\nCommittee wants Walmart's inventory turnover for the year ended 31 January 2025, to two decimals. Show me the inputs you used.\n", "rubric": {"checks": {"answer_checks": [{"expect": 9.1937, "field": "inventory_turnover", "tol_abs": 0.02, "type": "number"}, {"expect": 511753000000, "field": "cost_of_revenue", "tol_rel": 0.001, "type": "number"}, {"expect": 55663500000, "field": "average_inventory", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-066-wmt-inventory-turnover", "task_name": "finance_qa/wmt-inventory-turnover", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"average_inventory": 55663500000, "cost_of_revenue": 511753000000, "inventory_turnover": 9.19}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-067-wmt-inventory-turnover-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of finance_qa/wmt-inventory-turnover via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark finance_qa (ratio segment); facts captured from data.sec.gov 2026-08-10", "provenance": "variant", "version": "1.0.0", "walk_len": 5, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 14:05**\n\nCommittee wants Walmart's inventory turnover for the year ended 31 January 2025, to two decimals. Show me the inputs you used.\n", "rubric": {"checks": {"answer_checks": [{"expect": 9.1937, "field": "inventory_turnover", "tol_abs": 0.02, "type": "number"}, {"expect": 511753000000, "field": "cost_of_revenue", "tol_rel": 0.001, "type": "number"}, {"expect": 55663500000, "field": "average_inventory", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-067-wmt-inventory-turnover-esc-burie-quiet", "task_name": "finance_qa/wmt-inventory-turnover-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"cat_current_assets": 45682000000, "difference": 46308000000, "larger_company": "ExxonMobil", "xom_current_assets": 91990000000}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-068-xom-cat-liquidity-compare", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark finance_qa (multi-company composite segment); exercises get_xbrl_frames across companies", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 09:48**\n\nScreening Exxon and Caterpillar side by side. At FY2024, who's carrying more current assets and by how much?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["Exxon"], "field": "larger_company", "forbid": ["Caterpillar"], "type": "contains_all"}, {"expect": 91990000000, "field": "xom_current_assets", "tol_rel": 0.001, "type": "number"}, {"expect": 45682000000, "field": "cat_current_assets", "tol_rel": 0.001, "type": "number"}, {"expect": 46308000000, "field": "difference", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"n": 2, "server": "filings", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-068-xom-cat-liquidity-compare", "task_name": "finance_qa/xom-cat-liquidity-compare", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"current_assets_usd": 91990000000, "period_end": "2024-12-31", "source_form": "10-K"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "easy", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-069-xom-current-assets", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "financebenchmark:finance_qa (user-brief example); GT = real XBRL fact captured from data.sec.gov 2026-08-10", "provenance": "ported", "version": "1.0.0", "walk_len": 3, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 11:20**\n\nFor the counterparty pack: ExxonMobil's total current assets at FY2024 year end. Tell me where it comes from so I can footnote it.\n", "rubric": {"checks": {"answer_checks": [{"expect": 91990000000, "field": "current_assets_usd", "tol_rel": 0.001, "type": "number"}, {"expect": ["2024-12-31"], "field": "period_end", "type": "contains_all"}, {"expect": ["10-K"], "field": "source_form", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-069-xom-current-assets", "task_name": "finance_qa/xom-current-assets", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"current_assets_usd": 91990000000, "period_end": "2024-12-31", "source_form": "10-K"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "easy", "family": "finance_qa", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-070-xom-current-assets-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of finance_qa/xom-current-assets via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:finance_qa (user-brief example); GT = real XBRL fact captured from data.sec.gov 2026-08-10", "provenance": "variant", "version": "1.0.0", "walk_len": 3, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams 11:20**\n\nFor the counterparty pack: ExxonMobil's total current assets at FY2024 year end. Tell me where it comes from so I can footnote it.\n", "rubric": {"checks": {"answer_checks": [{"expect": 91990000000, "field": "current_assets_usd", "tol_rel": 0.001, "type": "number"}, {"expect": ["2024-12-31"], "field": "period_end", "type": "contains_all"}, {"expect": ["10-K"], "field": "source_form", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-070-xom-current-assets-esc-burie-quiet", "task_name": "finance_qa/xom-current-assets-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"debt_to_equity": 10.6105, "stockholders_equity": 344758000000.0, "total_liabilities": 3658056000000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-071-jpm-debt-to-equity-127", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark finance_qa item finance_qa-127; question verbatim, ground truth recomputed from the frozen SEC XBRL snapshot (debt-to-equity = Liabilities/StockholdersEquity @ 2024-12-31 (10-K)). FB grades this with an LLM judge; this clone pins the figure, its period and its source form as separate deterministic checks (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams**\n\nBenchmarking JPMorgan against peers for counterparty risk. What was JPMorgan Chase & Co.’s debt-to-equity ratio as of December 31, 2024?\n", "rubric": {"checks": {"answer_checks": [{"expect": 10.6105, "field": "debt_to_equity", "tol_abs": 0.02, "type": "number"}, {"expect": 3658056000000.0, "field": "total_liabilities", "tol_rel": 0.001, "type": "number"}, {"expect": 344758000000.0, "field": "stockholders_equity", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-071-jpm-debt-to-equity-127", "task_name": "finance_qa_fb/jpm-debt-to-equity-127", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"operating_income": 13762000000.0, "operating_margin_pct": 28.71, "revenue": 47941000000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "finance_qa_fb", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-072-ko-operating-margin-pct-035", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "clone of microsoft/FinanceBenchmark finance_qa item finance_qa-035; question verbatim, ground truth recomputed from the frozen SEC XBRL snapshot (operating margin = OperatingIncomeLoss/Revenues @ 2025-12-31 (10-K)). FB grades this with an LLM judge; this clone pins the figure, its period and its source form as separate deterministic checks (docs/PARITY.md)", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["filings", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Dana Kim · Credit Manager · Teams**\n\nI'm updating margin assumptions for our FY2025 beverage forecast. What was Coca-Cola's operating margin for fiscal year 2024? Need it to calibrate our baseline.\n", "rubric": {"checks": {"answer_checks": [{"expect": 28.71, "field": "operating_margin_pct", "tol_abs": 0.02, "type": "number"}, {"expect": 13762000000.0, "field": "operating_income", "tol_rel": 0.001, "type": "number"}, {"expect": 47941000000.0, "field": "revenue", "tol_rel": 0.001, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["filings"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-072-ko-operating-margin-pct-035", "task_name": "finance_qa_fb/ko-operating-margin-pct-035", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-073-budget-variance-feb/documents/policy--fpna-variance-review.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"flagged_count": 4, "flagged_ids": "Engineering_Software_202602, Sales_Travel_202602, Marketing_Training_202602, Operations_Equipment_202601", "unfavourable_total_usd": 38515.4}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "fpna", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-073-budget-variance-feb", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-budget-variance (task.md + evaluator.py: budget vs actual by department/category/month, variance amount and %, flag >10% AND >$5,000, 'adjust for identified seasonal spending variations', identifiers as Department_Category_YYYYMM); the source's vague seasonality clause is resolved here into FIN-FPA-04 s4; docs/HARD-LAYER-DESIGN.md M3 (dual-limb non-collapse) and M5 (the front-loaded list has no field in either workbook and lives only in the policy document)", "provenance": "ported", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Iris Novak · FP&A Lead · Teams 08:20, Monday 2 March**\n\nFebruary's closed and the operating review is Thursday. I need the exception page off the FY26\nbudget and the Jan–Feb actuals — both workbooks are on the finance drive under my name.\n\nLast cycle we walked in with thirty lines on that page and spent forty minutes arguing about\nthe January facilities charge instead of the things that had actually moved. Ops walked out not\nbelieving any of it. So: run it the way FIN-FPA-04 says to run it, including what it says\nabout the categories that don't bill the way they're budgeted. If the policy wouldn't flag it,\nI don't want it on my page — I'd rather defend a short list than explain a long one.\n\nIDs in the usual Department_Category_YYYYMM shape so I can paste them straight into the deck.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["Engineering_Software_202602", "Sales_Travel_202602", "Marketing_Training_202602", "Operations_Equipment_202601"], "field": "flagged_ids", "forbid": ["Engineering_Facilities_202601", "Operations_Facilities_202601", "Engineering_Facilities_202602", "Operations_Facilities_202602", "Sales_Software_202602", "Marketing_Equipment_202602", "HR_Training_202601", "Engineering_Salaries_202602", "Sales_Salaries_202601"], "type": "contains_all"}, {"expect": 4, "field": "flagged_count", "gt_sql": "SELECT COUNT(*) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')", "tol_abs": 0, "type": "number"}, {"expect": 38515.4, "field": "unfavourable_total_usd", "gt_sql": "SELECT ROUND(SUM(json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]')),2) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-073-budget-variance-feb", "task_name": "fpna/budget-variance-feb", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-074-budget-variance-feb-esc-burie-quiet/documents/policy--fpna-variance-review.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"flagged_count": 4, "flagged_ids": "Engineering_Software_202602, Sales_Travel_202602, Marketing_Training_202602, Operations_Equipment_202601", "unfavourable_total_usd": 38515.4}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "fpna", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-074-budget-variance-feb-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of fpna/budget-variance-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-budget-variance (task.md + evaluator.py: budget vs actual by department/category/month, variance amount and %, flag >10% AND >$5,000, 'adjust for identified seasonal spending variations', identifiers as Department_Category_YYYYMM); the source's vague seasonality clause is resolved here into FIN-FPA-04 s4; docs/HARD-LAYER-DESIGN.md M3 (dual-limb non-collapse) and M5 (the front-loaded list has no field in either workbook and lives only in the policy document)", "provenance": "variant", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Iris Novak · FP&A Lead · Teams 08:20, Monday 2 March**\n\nFebruary's closed and the operating review is Thursday. I need the exception page off the FY26\nbudget and the Jan–Feb actuals — both workbooks are on the finance drive under my name.\n\nLast cycle we walked in with thirty lines on that page and spent forty minutes arguing about\nthe January facilities charge instead of the things that had actually moved. Ops walked out not\nbelieving any of it. So: run it the way the governing policy says to run it, including what it says\nabout the categories that don't bill the way they're budgeted. If the policy wouldn't flag it,\nI don't want it on my page — I'd rather defend a short list than explain a long one.\n\nIDs in the usual Department_Category_YYYYMM shape so I can paste them straight into the deck.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["Engineering_Software_202602", "Sales_Travel_202602", "Marketing_Training_202602", "Operations_Equipment_202601"], "field": "flagged_ids", "forbid": ["Engineering_Facilities_202601", "Operations_Facilities_202601", "Engineering_Facilities_202602", "Operations_Facilities_202602", "Sales_Software_202602", "Marketing_Equipment_202602", "HR_Training_202601", "Engineering_Salaries_202602", "Sales_Salaries_202601"], "type": "contains_all"}, {"expect": 4, "field": "flagged_count", "gt_sql": "SELECT COUNT(*) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')", "tol_abs": 0, "type": "number"}, {"expect": 38515.4, "field": "unfavourable_total_usd", "gt_sql": "SELECT ROUND(SUM(json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]')),2) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-074-budget-variance-feb-esc-burie-quiet", "task_name": "fpna/budget-variance-feb-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-075-payroll-attendance-tieout/documents/sop--payroll-register-review.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"discrepancy_employee_ids": "E-1044, E-1045", "net_variance_usd": -79.0, "overpayment_usd": 129.0, "underpaid_employee": "E-1045 Aisha Bello", "underpayment_usd": 208.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "fpna", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-075-payroll-attendance-tieout", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-check-attendance-payroll (attendance x rate -> earnings, with the rate card held in a source separate from attendance); reframed from 'compute earnings' to 'tie out what payroll actually paid' per docs/HARD-LAYER-DESIGN.md M3 (objective non-collapse), M4 (money re-derived from hours x approved rate, never read back off the register) and M5 (the LWOP payability rule exists only in SOP-PAY-04, not as a field on either workbook)", "provenance": "ported", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Joel Tan · FP&A Manager · Teams 09:12**\n\nArdent sent back the register for the 16–28 Feb half and I have to sign it off before the pay\nfile releases Thursday — and the labour accrual goes in off the same number.\n\nI ran my usual eyeball over it: hours total agrees to the timekeeping export, gross total looks\nsane, so on the face of it there's nothing in there. But Comp pushed through the January grade\nchanges late and I don't fully trust what the bureau has on its master file, and HR had at\nleast one leave block in the period. Can you do the proper tie-out per SOP-PAY-04 rather than\nmy eyeball version?\n\nTwo things I care about: I don't want to fund a correction for something that isn't actually\nwrong, and if anyone was short-paid I need the name today so it goes on the off-cycle run.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["E-1044", "E-1045"], "field": "discrepancy_employee_ids", "forbid": ["E-1041", "E-1042", "E-1043", "E-1046", "E-1047"], "type": "contains_all"}, {"expect": 129.0, "field": "overpayment_usd", "gt_sql": "SELECT ROUND(SUM(MAX(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id", "tol_abs": 0.05, "type": "number"}, {"expect": 208.0, "field": "underpayment_usd", "gt_sql": "SELECT ROUND(-SUM(MIN(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id", "tol_abs": 0.05, "type": "number"}, {"expect": -79.0, "field": "net_variance_usd", "gt_sql": "SELECT ROUND(SUM(p.gross - o.owed),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id", "tol_abs": 0.05, "type": "number"}, {"expect": ["E-1045", "Aisha Bello"], "field": "underpaid_employee", "forbid": ["E-1041", "E-1042", "E-1043", "E-1044", "E-1046", "E-1047", "Devin Okafor", "Tomas Lindqvist", "Meera Raghunathan"], "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"n": 1, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-075-payroll-attendance-tieout", "task_name": "fpna/payroll-attendance-tieout", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-076-payroll-attendance-tieout-esc-burie-quiet/documents/sop--payroll-register-review.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"discrepancy_employee_ids": "E-1044, E-1045", "net_variance_usd": -79.0, "overpayment_usd": 129.0, "underpaid_employee": "E-1045 Aisha Bello", "underpayment_usd": 208.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "fpna", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-076-payroll-attendance-tieout-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of fpna/payroll-attendance-tieout via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-check-attendance-payroll (attendance x rate -> earnings, with the rate card held in a source separate from attendance); reframed from 'compute earnings' to 'tie out what payroll actually paid' per docs/HARD-LAYER-DESIGN.md M3 (objective non-collapse), M4 (money re-derived from hours x approved rate, never read back off the register) and M5 (the LWOP payability rule exists only in SOP-PAY-04, not as a field on either workbook)", "provenance": "variant", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Joel Tan · FP&A Manager · Teams 09:12**\n\nArdent sent back the register for the 16–28 Feb half and I have to sign it off before the pay\nfile releases Thursday — and the labour accrual goes in off the same number.\n\nI ran my usual eyeball over it: hours total agrees to the timekeeping export, gross total looks\nsane, so on the face of it there's nothing in there. But Comp pushed through the January grade\nchanges late and I don't fully trust what the bureau has on its master file, and HR had at\nleast one leave block in the period. Can you do the proper tie-out per the current policy rather than\nmy eyeball version?\n\nTwo things I care about: I don't want to fund a correction for something that isn't actually\nwrong, and if anyone was short-paid I need the name today so it goes on the off-cycle run.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["E-1044", "E-1045"], "field": "discrepancy_employee_ids", "forbid": ["E-1041", "E-1042", "E-1043", "E-1046", "E-1047"], "type": "contains_all"}, {"expect": 129.0, "field": "overpayment_usd", "gt_sql": "SELECT ROUND(SUM(MAX(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id", "tol_abs": 0.05, "type": "number"}, {"expect": 208.0, "field": "underpayment_usd", "gt_sql": "SELECT ROUND(-SUM(MIN(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id", "tol_abs": 0.05, "type": "number"}, {"expect": -79.0, "field": "net_variance_usd", "gt_sql": "SELECT ROUND(SUM(p.gross - o.owed),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id", "tol_abs": 0.05, "type": "number"}, {"expect": ["E-1045", "Aisha Bello"], "field": "underpaid_employee", "forbid": ["E-1041", "E-1042", "E-1043", "E-1044", "E-1046", "E-1047", "Devin Okafor", "Tomas Lindqvist", "Meera Raghunathan"], "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"n": 1, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-076-payroll-attendance-tieout-esc-burie-quiet", "task_name": "fpna/payroll-attendance-tieout-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-077-rd-tax-credit-asc/documents/rd-credit-policy.md", "task_files/lgr100-077-rd-tax-credit-asc/documents/tax-positions-2025.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"asc_credit": 61047.0, "base_amount": 345800.0, "base_period_years": "2022, 2023, 2024", "current_year_qre": 781850.0, "prior_three_year_qre_total": 2074800.0, "qualified_wages": 471200.0, "reduced_credit_elected": "no - the 2025 return positions memo declines the section 280C reduced credit, so Section B carries the full 14% credit"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "fpna", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-077-rd-tax-credit-asc", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-apply-tax-credit (IRS Form 6765 Section B alternative simplified credit built from a wage file plus a financials extract, with the ambiguous questions - section 280C election, existence of prior-3-year QREs - resolved by consulting a colleague). The judgement ports; the plumbing does not: the fillable PDF becomes graded answer fields through harness__submit_answer, the two workbooks become sheets/sheet_rows, the f6765 instructions become a docs policy (TAX-POL-11), and the RocketChat consultation with the finance director becomes the year's return positions memo. Escalated per docs/HARD-LAYER-DESIGN.md M3 (the base period is the objective the naive four-row average collapses), M4 (every component re-derived from line detail - wages x project time %, 65% contract-research haircut - never read off a totals row) and M5 (the qualification rules - US-sited research, quality-control testing, market research, depreciation, patent legal - exist only in TAX-POL-11, not as a field on either workbook)", "provenance": "ported", "version": "1.0.0", "walk_len": 8, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Renata Alvarez · Tax Manager · Teams 08:20**\n\nForm 6765 has to go into the return pack on Friday and the research credit is the only\ndiscrete item that moves our Q1 ETR, so I need Section B built properly today instead of the\nprovider's placeholder.\n\nTwo things to know about what you'll be working from. Tax has kept the QRE history tab since\nthe year the programme started, and the 2025 cost detail came straight off the R&D cost\ncentre with nobody filtering it — so please work it up from the line detail against TAX-POL-11\nrather than off any total already sitting on those tabs. Last year the provider took the tabs\nas they came and we ended up amending.\n\nCredit year is the tax year ended 31 December 2025. If the reduced-credit election bears on\nthe number, it's a settled position — don't re-litigate it, just read it.\n", "rubric": {"checks": {"answer_checks": [{"expect": 471200.0, "field": "qualified_wages", "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[5]') * json_extract(cells,'$[6]') / 100.0),2) FROM sheet_rows WHERE file='rd-wage-detail-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-3%' AND json_extract(cells,'$[3]')='qualified research' AND json_extract(cells,'$[4]') LIKE '%(US)%'", "tol_abs": 0.5, "type": "number"}, {"expect": 781850.0, "field": "current_year_qre", "gt_sql": "SELECT ROUND((SELECT SUM(json_extract(cells,'$[5]') * json_extract(cells,'$[6]') / 100.0) FROM sheet_rows WHERE file='rd-wage-detail-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-3%' AND json_extract(cells,'$[3]')='qualified research' AND json_extract(cells,'$[4]') LIKE '%(US)%') + (SELECT SUM(CASE WHEN json_extract(cells,'$[1]')='contract research' THEN 0.65*json_extract(cells,'$[5]') ELSE json_extract(cells,'$[5]') END) FROM sheet_rows WHERE file='rd-nonwage-costs-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'C-%' AND json_extract(cells,'$[1]') IN ('supplies','computer rental','contract research') AND json_extract(cells,'$[4]') LIKE '%(US)%'),2)", "tol_abs": 0.5, "type": "number"}, {"expect": ["2022", "2024"], "field": "base_period_years", "type": "contains_all"}, {"expect": 2074800.0, "field": "prior_three_year_qre_total", "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[2]')),2) FROM sheet_rows WHERE file='rd-qre-history.xlsx' AND CAST(json_extract(cells,'$[0]') AS INTEGER) BETWEEN 2022 AND 2024", "tol_abs": 0.5, "type": "number"}, {"expect": 345800.0, "field": "base_amount", "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[2]'))/6.0,2) FROM sheet_rows WHERE file='rd-qre-history.xlsx' AND CAST(json_extract(cells,'$[0]') AS INTEGER) BETWEEN 2022 AND 2024", "tol_abs": 0.5, "type": "number"}, {"expect": 61047.0, "field": "asc_credit", "gt_sql": "SELECT ROUND(0.14 * ((SELECT SUM(json_extract(cells,'$[5]') * json_extract(cells,'$[6]') / 100.0) FROM sheet_rows WHERE file='rd-wage-detail-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-3%' AND json_extract(cells,'$[3]')='qualified research' AND json_extract(cells,'$[4]') LIKE '%(US)%') + (SELECT SUM(CASE WHEN json_extract(cells,'$[1]')='contract research' THEN 0.65*json_extract(cells,'$[5]') ELSE json_extract(cells,'$[5]') END) FROM sheet_rows WHERE file='rd-nonwage-costs-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'C-%' AND json_extract(cells,'$[1]') IN ('supplies','computer rental','contract research') AND json_extract(cells,'$[4]') LIKE '%(US)%') - (SELECT SUM(json_extract(cells,'$[2]'))/6.0 FROM sheet_rows WHERE file='rd-qre-history.xlsx' AND CAST(json_extract(cells,'$[0]') AS INTEGER) BETWEEN 2022 AND 2024)),2)", "tol_abs": 0.5, "type": "number"}, {"expect": "no", "field": "reduced_credit_elected", "type": "yes_no"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"n": 2, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-077-rd-tax-credit-asc", "task_name": "fpna/rd-tax-credit-asc", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-078-feb-saas-accrual/documents/accrual-sop.md", "task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v1-superseded.md", "task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v2.md"], "gold_output": {"expected_state_assertions": [{"expect": "draft", "name": "journal_staged_not_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": 83835.62, "name": "accrual_amount_rederived", "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "journal_balances", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.005, "type": "sql"}, {"expect": "2026-02", "name": "posted_to_february", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": "600200", "name": "expense_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0", "type": "sql"}, {"expect": "210100", "name": "accrual_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0", "type": "sql"}, {"expect": "pending", "name": "approval_pending", "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'", "type": "sql"}, {"expect": 1, "name": "no_extra_journals", "sql": "SELECT COUNT(*) FROM erp_ledger_journals", "type": "sql"}], "submit_answer": {"accrual_amount": 83835.62, "journal_id": "GJ-00001", "journal_state": "draft", "next_step": "Pending Controller approval - approval request APR-00001 was raised because the journal exceeds the 25,000.00 staff-accountant delegation-of-authority threshold (policy DOA-JE-01). The Controller must approve it before it can be posted; it is not booked yet.", "service_days": 17}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "journal_entry", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-078-feb-saas-accrual", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5; DoA shape from ERPNext Authorization Rule (research/erp-mcp-tool-census.md); period lock from research/odoo-domain.md; accrual practice from research/external/articles/month-end-close--numeric.md", "provenance": "ported", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Controller · Teams 08:20**\n\nFebruary close — the CloudScale subscription needs accruing. They invoice annually in\narrears so nothing has come through AP for the platform itself, but we've had the service\nsince it cut over last month.\n\nRaise the accrual into February per SOP-GL-02 and take it as far as you can. Careful with\nthe paperwork on that one, they re-papered the agreement recently.\n\nTell me where it ends up — I need to know what's actually booked before I sign off the\nclose, not what's been keyed.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["GJ-00001"], "field": "journal_id", "type": "contains_all"}, {"expect": 83835.62, "field": "accrual_amount", "gt_sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": 17, "field": "service_days", "tol_abs": 0.01, "type": "number"}, {"expect": ["draft"], "field": "journal_state", "type": "contains_all"}, {"expect": ["approv"], "field": "next_step", "type": "contains_all"}], "state_checks": [{"expect": "draft", "name": "journal_staged_not_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": 83835.62, "name": "accrual_amount_rederived", "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "journal_balances", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.005, "type": "sql"}, {"expect": "2026-02", "name": "posted_to_february", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": "600200", "name": "expense_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0", "type": "sql"}, {"expect": "210100", "name": "accrual_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0", "type": "sql"}, {"expect": "pending", "name": "approval_pending", "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'", "type": "sql"}, {"expect": 1, "name": "no_extra_journals", "sql": "SELECT COUNT(*) FROM erp_ledger_journals", "type": "sql"}, {"tables": ["answers", "erp_ledger_journals", "erp_ledger_journal_lines", "erp_approval_requests", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-078-feb-saas-accrual", "task_name": "journal_entry/feb-saas-accrual", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/accrual-sop.md", "task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v1-superseded.md", "task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v2.md"], "gold_output": {"expected_state_assertions": [{"expect": "draft", "name": "journal_staged_not_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": 83835.62, "name": "accrual_amount_rederived", "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "journal_balances", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.005, "type": "sql"}, {"expect": "2026-02", "name": "posted_to_february", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": "600200", "name": "expense_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0", "type": "sql"}, {"expect": "210100", "name": "accrual_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0", "type": "sql"}, {"expect": "pending", "name": "approval_pending", "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'", "type": "sql"}, {"expect": 1, "name": "no_extra_journals", "sql": "SELECT COUNT(*) FROM erp_ledger_journals", "type": "sql"}], "submit_answer": {"accrual_amount": 83835.62, "journal_id": "GJ-00001", "journal_state": "draft", "next_step": "Pending Controller approval - approval request APR-00001 was raised because the journal exceeds the 25,000.00 staff-accountant delegation-of-authority threshold (policy DOA-JE-01). The Controller must approve it before it can be posted; it is not booked yet.", "service_days": 17}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "journal_entry", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-079-feb-saas-accrual-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of journal_entry/feb-saas-accrual via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5; DoA shape from ERPNext Authorization Rule (research/erp-mcp-tool-census.md); period lock from research/odoo-domain.md; accrual practice from research/external/articles/month-end-close--numeric.md", "provenance": "variant", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · Controller · Teams 08:20**\n\nFebruary close — the CloudScale subscription needs accruing. They invoice annually in\narrears so nothing has come through AP for the platform itself, but we've had the service\nsince it cut over last month.\n\nRaise the accrual into February per the current policy and take it as far as you can. Careful with\nthe paperwork on that one, they re-papered the agreement recently.\n\nTell me where it ends up — I need to know what's actually booked before I sign off the\nclose, not what's been keyed.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["GJ-00001"], "field": "journal_id", "type": "contains_all"}, {"expect": 83835.62, "field": "accrual_amount", "gt_sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": 17, "field": "service_days", "tol_abs": 0.01, "type": "number"}, {"expect": ["draft"], "field": "journal_state", "type": "contains_all"}, {"expect": ["approv"], "field": "next_step", "type": "contains_all"}], "state_checks": [{"expect": "draft", "name": "journal_staged_not_posted", "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": 83835.62, "name": "accrual_amount_rederived", "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "journal_balances", "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "tol_abs": 0.005, "type": "sql"}, {"expect": "2026-02", "name": "posted_to_february", "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'", "type": "sql"}, {"expect": "600200", "name": "expense_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0", "type": "sql"}, {"expect": "210100", "name": "accrual_line_account", "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0", "type": "sql"}, {"expect": "pending", "name": "approval_pending", "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'", "type": "sql"}, {"expect": 1, "name": "no_extra_journals", "sql": "SELECT COUNT(*) FROM erp_ledger_journals", "type": "sql"}, {"tables": ["answers", "erp_ledger_journals", "erp_ledger_journal_lines", "erp_approval_requests", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-079-feb-saas-accrual-esc-burie-quiet", "task_name": "journal_entry/feb-saas-accrual-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-080-friday-run-mar06/documents/sop--payment-run.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"discount_captured": 437.11, "excluded_invoice": "PPINV-104", "exclusion_reason": "vendor SYNVEN-0044 is on payment hold", "net_payment_total": 36418.39, "proposal_invoices": "PPINV-101, PPINV-102, PPINV-103"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "payment_proposal", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-080-friday-run-mar06", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#3 (D365 payment-proposal automation: agent assembles, human posts); discount-capture policy AP-POL-007", "provenance": "ported", "version": "1.0.0", "walk_len": 7, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 09:10**\n\nBuild me Friday's payment proposal (pay date 6 March) for the PPINV batch. I'll review and post it — just tell me what's in, what's out, and what it costs us net.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PPINV-101", "PPINV-102", "PPINV-103"], "field": "proposal_invoices", "type": "contains_all"}, {"expect": ["PPINV-104"], "field": "excluded_invoice", "type": "contains_all"}, {"expect": ["hold"], "field": "exclusion_reason", "type": "contains_all"}, {"expect": 437.11, "field": "discount_captured", "tol_abs": 0.02, "type": "number"}, {"expect": 36418.39, "field": "net_payment_total", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-080-friday-run-mar06", "task_name": "payment_proposal/friday-run-mar06", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-081-friday-run-mar06-esc-burie-quiet/documents/sop--payment-run.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"discount_captured": 437.11, "excluded_invoice": "PPINV-104", "exclusion_reason": "vendor SYNVEN-0044 is on payment hold", "net_payment_total": 36418.39, "proposal_invoices": "PPINV-101, PPINV-102, PPINV-103"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "payment_proposal", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-081-friday-run-mar06-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of payment_proposal/friday-run-mar06 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#3 (D365 payment-proposal automation: agent assembles, human posts); discount-capture policy AP-POL-007", "provenance": "variant", "version": "1.0.0", "walk_len": 7, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 09:10**\n\nBuild me Friday's payment proposal (pay date 6 March) for the PPINV batch. I'll review and post it — just tell me what's in, what's out, and what it costs us net.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PPINV-101", "PPINV-102", "PPINV-103"], "field": "proposal_invoices", "type": "contains_all"}, {"expect": ["PPINV-104"], "field": "excluded_invoice", "type": "contains_all"}, {"expect": ["hold"], "field": "exclusion_reason", "type": "contains_all"}, {"expect": 437.11, "field": "discount_captured", "tol_abs": 0.02, "type": "number"}, {"expect": 36418.39, "field": "net_payment_total", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-081-friday-run-mar06-esc-burie-quiet", "task_name": "payment_proposal/friday-run-mar06-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-082-shortfall-mar06/documents/payment-run-sop.md"], "gold_output": {"expected_state_assertions": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": "PINV-101,PINV-105,PINV-106", "name": "paid_set", "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)", "type": "sql"}, {"expect": 187800.0, "name": "paid_total_rederived", "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": "vendor_on_hold", "name": "hold_reason", "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-103'", "type": "sql"}, {"expect": "disputed", "name": "dispute_reason", "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-104'", "type": "sql"}, {"expect": "PINV-102,PINV-107", "name": "cash_deferrals", "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND reason_code='insufficient_cash' ORDER BY invoice)", "type": "sql"}, {"expect": 0, "name": "no_obligation_left_undecided", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition NOT IN ('paid','rejected')", "type": "sql"}], "submit_answer": {"paid_invoices": "PINV-101, PINV-105, PINV-106", "run_id": "PR-00001", "shortfall": 117800.0, "total_paid": 187800.0, "unpaid_invoices": "PINV-102, PINV-103, PINV-104, PINV-107"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "payment_run", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-082-shortfall-mar06", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "docs/HARD-LAYER-DESIGN.md M1/M2/M3/M4/M5; unsat-demand mechanic from ERP-Bench (77/300 tasks tagged unsat_demand, research/erp-bench-deep-dive.md); discount-capture policy from research/domain-workflows.md §2; SAP F110 payment proposals per research/external/articles/payment-runs-early-pay-discount--sap-f110.md", "provenance": "ported", "version": "1.0.0", "walk_len": 11, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 07:58, Friday 6 March**\n\nMorning — I'm out at the bank review until this afternoon, can you build and commit today's\nrun for the PAYRUN vendor group? Operating account.\n\nCash is tight this week so it won't all go out. Follow SOP-AP-04 exactly — I don't want a\nrepeat of last month where two obligations just vanished off the proposal and nobody could\nsay why. Everything on the proposal needs to end up either paid or explicitly not paid with\na reason on it.\n\nCheck the AP mailbox before you build it. Something came in this week.\n\nCommit the run when you're done.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PR-00001"], "field": "run_id", "type": "contains_all"}, {"expect": 187800.0, "field": "total_paid", "gt_sql": "SELECT ROUND(SUM(net_amount),2) FROM erp_payment_run_lines WHERE disposition='paid'", "tol_abs": 0.05, "type": "number"}, {"expect": 117800.0, "field": "shortfall", "gt_sql": "SELECT ROUND(eligible_net - cash_available,2) FROM erp_payment_runs WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": ["PINV-101", "PINV-105", "PINV-106"], "field": "paid_invoices", "type": "contains_all"}, {"expect": ["PINV-102", "PINV-103", "PINV-104", "PINV-107"], "field": "unpaid_invoices", "type": "contains_all"}], "state_checks": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": "PINV-101,PINV-105,PINV-106", "name": "paid_set", "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)", "type": "sql"}, {"expect": 187800.0, "name": "paid_total_rederived", "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "sql"}, {"expect": "vendor_on_hold", "name": "hold_reason", "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-103'", "type": "sql"}, {"expect": "disputed", "name": "dispute_reason", "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-104'", "type": "sql"}, {"expect": "PINV-102,PINV-107", "name": "cash_deferrals", "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND reason_code='insufficient_cash' ORDER BY invoice)", "type": "sql"}, {"expect": 0, "name": "no_obligation_left_undecided", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition NOT IN ('paid','rejected')", "type": "sql"}, {"tables": ["answers", "erp_payment_runs", "erp_payment_run_lines", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs", "email"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-082-shortfall-mar06", "task_name": "payment_run/shortfall-mar06", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-083-withholding-mar13/documents/withholding-policy.md"], "gold_output": {"expected_state_assertions": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": 12000.0, "name": "meridian_withheld_at_statutory_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'", "tol_abs": 0.05, "type": "sql"}, {"expect": 3000.0, "name": "treaty_vendor_withheld_at_reduced_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "certified_domestic_not_withheld", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'", "tol_abs": 0.005, "type": "sql"}, {"expect": 4, "name": "all_four_paid", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'", "type": "sql"}], "submit_answer": {"meridian_rate_pct": 30, "run_id": "PR-00001", "total_gross": 140000.0, "total_paid": 117800.0, "total_withheld": 22200.0, "withheld_vendors": "WVEN-02, WVEN-03, WVEN-04"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "payment_run", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-083-withholding-mar13", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "closes tracked coverage gap erpnext.withholding_tax; Tax Withholding Category + certificate model from research/erp-mcp-tool-census.md (ERPNext); rates are US statutory (IRC 3406 backup 24%, IRC 1441 non-resident 30%, treaty-reduced 15%); docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5", "provenance": "ported", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 08:15, Friday 13 March**\n\nContractor run today — vendor group CONTRACT, operating account. Four invoices, all due today,\ncash is fine.\n\nThese are the ones with withholding on them, so please work the tax position per SOP-AP-09\nbefore you commit. Meridian have emailed about their rate again; check it rather than take\nit, tax were quite pointed about that in January.\n\nEverything on the proposal gets paid — I just need the amounts right and the withholding\nbroken out.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PR-00001"], "field": "run_id", "type": "contains_all"}, {"expect": 140000.0, "field": "total_gross", "gt_sql": "SELECT ROUND(SUM(gross_amount),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": 22200.0, "field": "total_withheld", "gt_sql": "SELECT ROUND(SUM(withholding),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": 117800.0, "field": "total_paid", "gt_sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": ["WVEN-02", "WVEN-03", "WVEN-04"], "field": "withheld_vendors", "forbid": ["WVEN-01"], "type": "contains_all"}, {"expect": 30, "field": "meridian_rate_pct", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": 12000.0, "name": "meridian_withheld_at_statutory_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'", "tol_abs": 0.05, "type": "sql"}, {"expect": 3000.0, "name": "treaty_vendor_withheld_at_reduced_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "certified_domestic_not_withheld", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'", "tol_abs": 0.005, "type": "sql"}, {"expect": 4, "name": "all_four_paid", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'", "type": "sql"}, {"tables": ["answers", "erp_payment_runs", "erp_payment_run_lines", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-083-withholding-mar13", "task_name": "payment_run/withholding-mar13", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-084-withholding-mar13-esc-burie-quiet/documents/withholding-policy.md"], "gold_output": {"expected_state_assertions": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": 12000.0, "name": "meridian_withheld_at_statutory_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'", "tol_abs": 0.05, "type": "sql"}, {"expect": 3000.0, "name": "treaty_vendor_withheld_at_reduced_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "certified_domestic_not_withheld", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'", "tol_abs": 0.005, "type": "sql"}, {"expect": 4, "name": "all_four_paid", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'", "type": "sql"}], "submit_answer": {"meridian_rate_pct": 30, "run_id": "PR-00001", "total_gross": 140000.0, "total_paid": 117800.0, "total_withheld": 22200.0, "withheld_vendors": "WVEN-02, WVEN-03, WVEN-04"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "payment_run", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-084-withholding-mar13-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of payment_run/withholding-mar13 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: closes tracked coverage gap erpnext.withholding_tax; Tax Withholding Category + certificate model from research/erp-mcp-tool-census.md (ERPNext); rates are US statutory (IRC 3406 backup 24%, IRC 1441 non-resident 30%, treaty-reduced 15%); docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5", "provenance": "variant", "version": "1.0.0", "walk_len": 10, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Robin Vale · Treasury · Teams 08:15, Friday 13 March**\n\nContractor run today — vendor group CONTRACT, operating account. Four invoices, all due today,\ncash is fine.\n\nThese are the ones with withholding on them, so please work the tax position per the current policy\nbefore you commit. Meridian have emailed about their rate again; check it rather than take\nit, tax were quite pointed about that in January.\n\nEverything on the proposal gets paid — I just need the amounts right and the withholding\nbroken out.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PR-00001"], "field": "run_id", "type": "contains_all"}, {"expect": 140000.0, "field": "total_gross", "gt_sql": "SELECT ROUND(SUM(gross_amount),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": 22200.0, "field": "total_withheld", "gt_sql": "SELECT ROUND(SUM(withholding),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": 117800.0, "field": "total_paid", "gt_sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'", "tol_abs": 0.05, "type": "number"}, {"expect": ["WVEN-02", "WVEN-03", "WVEN-04"], "field": "withheld_vendors", "forbid": ["WVEN-01"], "type": "contains_all"}, {"expect": 30, "field": "meridian_rate_pct", "tol_abs": 0.01, "type": "number"}], "state_checks": [{"expect": "committed", "name": "run_committed", "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'", "type": "sql"}, {"expect": 12000.0, "name": "meridian_withheld_at_statutory_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'", "tol_abs": 0.05, "type": "sql"}, {"expect": 3000.0, "name": "treaty_vendor_withheld_at_reduced_rate", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'", "tol_abs": 0.05, "type": "sql"}, {"expect": 0.0, "name": "certified_domestic_not_withheld", "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'", "tol_abs": 0.005, "type": "sql"}, {"expect": 4, "name": "all_four_paid", "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'", "type": "sql"}, {"tables": ["answers", "erp_payment_runs", "erp_payment_run_lines", "erp_confirm_tokens", "erp_audit_trail"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-084-withholding-mar13-esc-burie-quiet", "task_name": "payment_run/withholding-mar13-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-085-approval-evidence-q1/inputs/pbc-request-03.csv"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"inv201_approval_date": "2026-01-18", "inv201_approver": "Priya Shah", "inv201_evidence_location": "shared mailbox thread (approval reply from AP Manager)", "inv202_approver": "none", "inv202_finding": "No approval evidence located in the ERP, mailbox, or document library — control exception to report"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "pbc", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-085-approval-evidence-q1", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#9 + chaos pattern 'approvals live in email threads'", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · email, Mon 09:20**\n\nRowan & Field sent PBC request 3 — it's in your working folder. They want approval evidence on the two invoices listed. Give me what you can actually support.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["priya"], "field": "inv201_approver", "type": "contains_all"}, {"expect": ["2026-01-18"], "field": "inv201_approval_date", "type": "contains_all"}, {"expect": ["mail"], "field": "inv201_evidence_location", "type": "contains_all"}, {"field": "inv202_approver", "type": "none_answer"}, {"expect": ["no", "evidence"], "field": "inv202_finding", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "email"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-085-approval-evidence-q1", "task_name": "pbc/approval-evidence-q1", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-086-approval-evidence-q1-esc-burie-quiet/inputs/pbc-request-03.csv"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"inv201_approval_date": "2026-01-18", "inv201_approver": "Priya Shah", "inv201_evidence_location": "shared mailbox thread (approval reply from AP Manager)", "inv202_approver": "none", "inv202_finding": "No approval evidence located in the ERP, mailbox, or document library — control exception to report"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "pbc", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-086-approval-evidence-q1-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of pbc/approval-evidence-q1 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#9 + chaos pattern 'approvals live in email threads'", "provenance": "variant", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · email, Mon 09:20**\n\nRowan & Field sent PBC request 3 — it's in your working folder. They want approval evidence on the two invoices listed. Give me what you can actually support.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["priya"], "field": "inv201_approver", "type": "contains_all"}, {"expect": ["2026-01-18"], "field": "inv201_approval_date", "type": "contains_all"}, {"expect": ["mail"], "field": "inv201_evidence_location", "type": "contains_all"}, {"field": "inv202_approver", "type": "none_answer"}, {"expect": ["no", "evidence"], "field": "inv202_finding", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "email"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-086-approval-evidence-q1-esc-burie-quiet", "task_name": "pbc/approval-evidence-q1-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-087-sampling-projection-q1/documents/sop--audit-sampling-method.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"exceeds_materiality": "yes", "method_used": "ratio projection: sample misstatement x (population size / sample size) = 3,000 x 20", "population_size": 1000, "projected_misstatement": 60000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "pbc", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-087-sampling-projection-q1", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/external/articles: PCAOB AS 2315 projection arithmetic (50 of 1,000 sampled, $3,000 found -> $60,000 projected)", "provenance": "ported", "version": "1.0.0", "walk_len": 4, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 14:40**\n\nThe auditors sent their Q1 sample results. What does that imply for the population as a whole — are we in trouble?\n", "rubric": {"checks": {"answer_checks": [{"expect": 60000.0, "field": "projected_misstatement", "tol_abs": 0.02, "type": "number"}, {"expect": 1000, "field": "population_size", "tol_abs": 0, "type": "number"}, {"expect": "yes", "field": "exceeds_materiality", "type": "yes_no"}, {"expect": ["ratio"], "field": "method_used", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-087-sampling-projection-q1", "task_name": "pbc/sampling-projection-q1", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-088-sampling-projection-q1-esc-burie-quiet/documents/sop--audit-sampling-method.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"exceeds_materiality": "yes", "method_used": "ratio projection: sample misstatement x (population size / sample size) = 3,000 x 20", "population_size": 1000, "projected_misstatement": 60000.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "medium", "family": "pbc", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-088-sampling-projection-q1-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of pbc/sampling-projection-q1 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/external/articles: PCAOB AS 2315 projection arithmetic (50 of 1,000 sampled, $3,000 found -> $60,000 projected)", "provenance": "variant", "version": "1.0.0", "walk_len": 4, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Sam Rivera · Controller · Teams 14:40**\n\nThe auditors sent their Q1 sample results. What does that imply for the population as a whole — are we in trouble?\n", "rubric": {"checks": {"answer_checks": [{"expect": 60000.0, "field": "projected_misstatement", "tol_abs": 0.02, "type": "number"}, {"expect": 1000, "field": "population_size", "tol_abs": 0, "type": "number"}, {"expect": "yes", "field": "exceeds_materiality", "type": "yes_no"}, {"expect": ["ratio"], "field": "method_used", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-088-sampling-projection-q1-esc-burie-quiet", "task_name": "pbc/sampling-projection-q1-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"clean_invoice": "TWINV-301", "price_variance_amount": 300.0, "price_variance_invoice": "TWINV-302", "qty_over_billed_units": 40, "qty_variance_invoice": "TWINV-303"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "threeway_match", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-089-ppinv-exceptions-mar", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#6 (unparked by PO/receipt schema); Oracle 26B GA agents do this workflow", "provenance": "ported", "version": "1.0.0", "walk_len": 5, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 10:25**\n\nThree invoices are stuck in the match queue — TWINV-301, 302 and 303. What's wrong with each, and quantify it.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["TWINV-301"], "field": "clean_invoice", "type": "contains_all"}, {"expect": ["TWINV-302"], "field": "price_variance_invoice", "type": "contains_all"}, {"expect": 300.0, "field": "price_variance_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["TWINV-303"], "field": "qty_variance_invoice", "type": "contains_all"}, {"expect": 40, "field": "qty_over_billed_units", "tol_abs": 0, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-089-ppinv-exceptions-mar", "task_name": "threeway_match/ppinv-exceptions-mar", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [], "submit_answer": {"clean_invoice": "TWINV-301", "price_variance_amount": 300.0, "price_variance_invoice": "TWINV-302", "qty_over_billed_units": 40, "qty_variance_invoice": "TWINV-303"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "threeway_match", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-090-ppinv-exceptions-mar-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of threeway_match/ppinv-exceptions-mar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#6 (unparked by PO/receipt schema); Oracle 26B GA agents do this workflow", "provenance": "variant", "version": "1.0.0", "walk_len": 5, "walk_servers": ["erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 10:25**\n\nThree invoices are stuck in the match queue — TWINV-301, 302 and 303. What's wrong with each, and quantify it.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["TWINV-301"], "field": "clean_invoice", "type": "contains_all"}, {"expect": ["TWINV-302"], "field": "price_variance_invoice", "type": "contains_all"}, {"expect": 300.0, "field": "price_variance_amount", "tol_abs": 0.01, "type": "number"}, {"expect": ["TWINV-303"], "field": "qty_variance_invoice", "type": "contains_all"}, {"expect": 40, "field": "qty_over_billed_units", "tol_abs": 0, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp"], "type": "required_servers"}, {"n": 3, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-090-ppinv-exceptions-mar-esc-burie-quiet", "task_name": "threeway_match/ppinv-exceptions-mar-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-091-tac-invoice-matching/documents/sop--vendor-statement-reconciliation.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"applied_total_usd": 113197.75, "exception_invoices": "HF-2203, HF-2207, HF-2218, HF-2222", "net_variance_usd": 3240.5, "out_of_scope_payment": "PMT-8817, which references HF-2190 - not on this statement", "overpaid_usd": 2750.0, "statement_total_usd": 116438.25, "underpaid_usd": 5990.5}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "threeway_match", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-091-tac-invoice-matching", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-invoice-matching (match a payments file to a reference invoice set, handling split and combined payments, and identify the mismatches; its deliverable is a written flagged_payments.xlsx with a TOTAL row 'Invoices=..., Payments=...'). The judgement ports, the plumbing does not: the two workbooks become sheet_files/sheet_rows on the sheets server, the matching conventions become SOP-AP-11 on the docs server, and the flagged list plus the two totals go through harness__submit_answer as graded fields. It also fixes what the source's own reference evaluator gets wrong — that evaluator iterates payments, so it flags all 36 legitimately split payments as problems and, being payment-driven, cannot see an invoice with no payment at all or an invoice paid twice in full, while the 17 genuine single-line variances that account for the whole of its own 210.66 total gap go unflagged. Here the exception set is defined at invoice level and is re-derived from the seeded world. Differs from the two existing threeway_match tasks: ppinv-exceptions-mar and tolerance-dialect-mar each match ONE invoice at a time against its PO and receipt and turn on the tolerance rule (SAP unmaintained key = zero vs Oracle blank = unlimited); this one has no PO or receipt in it at all and is a bulk many-to-many reconciliation where the difficulty is match CARDINALITY - one payment covering two invoices, one invoice covering three payments, one payment belonging to neither.", "provenance": "ported", "version": "1.0.0", "walk_len": 8, "walk_servers": ["docs", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 09:34**\n\nHalden Freight's credit controller has been on the phone. They've run their statement of\naccount for Q1 against what they say they've received from us, and they're telling me we're\n**373.50** behind and that they won't confirm the Q2 dedicated-fleet allocation until it's\ncleared. 373.50 on a quarter that size is a rounding error, and I don't believe it — not from\na vendor we paid in instalments twice this quarter.\n\nTheir statement and our payment register extract for the same period are both on the shared\ndrive. Do the proper reconciliation per SOP-AP-11, not their version of it.\n\nI need this two ways round, because two different people action it: anything we still owe them\ngoes into the Q1 accrual on Monday, and anything we've paid twice I want to raise with them\nwhile we still have leverage over the Q2 allocation. Don't hand me one net number.\n", "rubric": {"checks": {"answer_checks": [{"expect": 116438.25, "field": "statement_total_usd", "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[3]')),2) FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%'", "tol_abs": 0.05, "type": "number"}, {"expect": 113197.75, "field": "applied_total_usd", "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[2]')),2) FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%' AND substr(json_extract(cells,'$[3]'),1,7) IN (SELECT json_extract(cells,'$[0]') FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx')", "tol_abs": 0.05, "type": "number"}, {"expect": 3240.5, "field": "net_variance_usd", "gt_sql": "SELECT ROUND((SELECT SUM(json_extract(cells,'$[3]')) FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%') - (SELECT SUM(json_extract(cells,'$[2]')) FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%' AND substr(json_extract(cells,'$[3]'),1,7) IN (SELECT json_extract(cells,'$[0]') FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx')),2)", "tol_abs": 0.05, "type": "number"}, {"expect": ["HF-2203", "HF-2207", "HF-2218", "HF-2222"], "field": "exception_invoices", "forbid": ["HF-2201", "HF-2202", "HF-2204", "HF-2205", "HF-2206", "HF-2208", "HF-2209", "HF-2210", "HF-2211", "HF-2212", "HF-2213", "HF-2214", "HF-2215", "HF-2216", "HF-2217", "HF-2219", "HF-2220", "HF-2221", "HF-2223", "HF-2224", "HF-2190"], "type": "contains_all"}, {"expect": 2750.0, "field": "overpaid_usd", "gt_sql": "WITH stmt AS (SELECT json_extract(cells,'$[0]') AS inv, json_extract(cells,'$[3]') AS amt FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%'), pay AS (SELECT json_extract(cells,'$[3]') AS ref, json_extract(cells,'$[2]') AS amt FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%'), single AS (SELECT substr(ref,1,7) AS inv, SUM(amt) AS paid FROM pay WHERE ref NOT LIKE '%,%' GROUP BY 1), comb AS (SELECT substr(ref,1,7) AS a, substr(ref,9,7) AS b FROM pay WHERE ref LIKE '%,%'), app AS (SELECT s.inv AS inv, s.amt AS amt, COALESCE((SELECT paid FROM single WHERE single.inv=s.inv),0) + CASE WHEN EXISTS(SELECT 1 FROM comb WHERE comb.a=s.inv OR comb.b=s.inv) THEN s.amt ELSE 0 END AS paid FROM stmt s) SELECT ROUND(SUM(paid-amt),2) FROM app WHERE paid > amt", "tol_abs": 0.05, "type": "number"}, {"expect": 5990.5, "field": "underpaid_usd", "gt_sql": "WITH stmt AS (SELECT json_extract(cells,'$[0]') AS inv, json_extract(cells,'$[3]') AS amt FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%'), pay AS (SELECT json_extract(cells,'$[3]') AS ref, json_extract(cells,'$[2]') AS amt FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%'), single AS (SELECT substr(ref,1,7) AS inv, SUM(amt) AS paid FROM pay WHERE ref NOT LIKE '%,%' GROUP BY 1), comb AS (SELECT substr(ref,1,7) AS a, substr(ref,9,7) AS b FROM pay WHERE ref LIKE '%,%'), app AS (SELECT s.inv AS inv, s.amt AS amt, COALESCE((SELECT paid FROM single WHERE single.inv=s.inv),0) + CASE WHEN EXISTS(SELECT 1 FROM comb WHERE comb.a=s.inv OR comb.b=s.inv) THEN s.amt ELSE 0 END AS paid FROM stmt s) SELECT ROUND(SUM(amt-paid),2) FROM app WHERE paid < amt", "tol_abs": 0.05, "type": "number"}, {"expect": ["PMT-8817", "HF-2190"], "field": "out_of_scope_payment", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"n": 1, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-091-tac-invoice-matching", "task_name": "threeway_match/tac-invoice-matching", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-092-tolerance-dialect-mar/documents/policy--ap-match-tolerances.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"blocked_invoice": "TDINV-401", "blocked_variance": 40.0, "blocking_rule": "legacy ledger: an unmaintained tolerance key means zero tolerance, so any variance blocks", "passing_invoice": "TDINV-402", "passing_variance": 315.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "threeway_match", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-092-tolerance-dialect-mar", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/external/articles: SAP unmaintained tolerance key = zero tolerance vs Oracle Fusion blank tolerance = infinite — inverted defaults across systems", "provenance": "ported", "version": "1.0.0", "walk_len": 5, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 11:02**\n\nTDINV-401 and TDINV-402 both came back with price variances, and both ledgers are telling me no tolerance is configured. Which one can I release and which do I have to hold?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["TDINV-401"], "field": "blocked_invoice", "type": "contains_all"}, {"expect": 40.0, "field": "blocked_variance", "tol_abs": 0.01, "type": "number"}, {"expect": ["TDINV-402"], "field": "passing_invoice", "type": "contains_all"}, {"expect": 315.0, "field": "passing_variance", "tol_abs": 0.01, "type": "number"}, {"expect": ["zero"], "field": "blocking_rule", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-092-tolerance-dialect-mar", "task_name": "threeway_match/tolerance-dialect-mar", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-093-tolerance-dialect-mar-esc-burie-quiet/documents/policy--ap-match-tolerances.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"blocked_invoice": "TDINV-401", "blocked_variance": 40.0, "blocking_rule": "legacy ledger: an unmaintained tolerance key means zero tolerance, so any variance blocks", "passing_invoice": "TDINV-402", "passing_variance": 315.0}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "threeway_match", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-093-tolerance-dialect-mar-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of threeway_match/tolerance-dialect-mar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/external/articles: SAP unmaintained tolerance key = zero tolerance vs Oracle Fusion blank tolerance = infinite — inverted defaults across systems", "provenance": "variant", "version": "1.0.0", "walk_len": 5, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 11:02**\n\nTDINV-401 and TDINV-402 both came back with price variances, and both ledgers are telling me no tolerance is configured. Which one can I release and which do I have to hold?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["TDINV-401"], "field": "blocked_invoice", "type": "contains_all"}, {"expect": 40.0, "field": "blocked_variance", "tol_abs": 0.01, "type": "number"}, {"expect": ["TDINV-402"], "field": "passing_invoice", "type": "contains_all"}, {"expect": 315.0, "field": "passing_variance", "tol_abs": 0.01, "type": "number"}, {"expect": ["zero"], "field": "blocking_rule", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-093-tolerance-dialect-mar-esc-burie-quiet", "task_name": "threeway_match/tolerance-dialect-mar-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-094-bank-change-verify/documents/policy--vendor-bank-change.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"red_flag": "sender domain does not match the vendor contact email on the ERP master record (lookalike domain)", "request_verified": "no", "required_next_step": "call back the vendor on the phone number already on file in the ERP — never a number supplied in the request", "vendor_account": "1001"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "vendor_master", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-094-bank-change-verify", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "research/finance-agent-workflows.md wf#5 (vendor onboarding/master data + bank-detail fraud checks)", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 08:35**\n\nA vendor's asking us to change their bank details before Friday's run and they're pushing hard on timing. Can we do it? Walk me through what you checked.\n", "rubric": {"checks": {"answer_checks": [{"expect": ["1001"], "field": "vendor_account", "type": "contains_all"}, {"expect": "no", "field": "request_verified", "type": "yes_no"}, {"expect": ["domain"], "field": "red_flag", "type": "contains_all"}, {"expect": ["call"], "field": "required_next_step", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "email", "docs"], "type": "required_servers"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-094-bank-change-verify", "task_name": "vendor_master/bank-change-verify", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-095-dormant-vendor-review/documents/vendor-hygiene-policy.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"cutoff_date": "2025-03-02", "dormant_count": 2, "dormant_vendors": "DVEN-02, DVEN-03", "out_of_scope_vendors": "DVEN-06", "unused_vendors": "DVEN-04"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "vendor_master", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-095-dormant-vendor-review", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "closes tracked coverage gap art.vendor_dormancy (sim/coverage.py); dormant-account BEC exposure from research/external/articles/vendor-master-bec-fraud--{afp-truist,fbi-ic3,wa-state-auditor}.md; docs/HARD-LAYER-DESIGN.md M3/M5", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Marcus Bell · AP Controls · Teams 09:30**\n\nQuarterly vendor hygiene review for the REVIEW group — can you work out which ones need\ndeactivating? Follow SOP-AP-11 to the letter on this, the definition is fussier than it\nlooks and last quarter's numbers had to be restated because two different findings got\ncounted in the same bucket.\n\nUse today as the review date.\n", "rubric": {"checks": {"answer_checks": [{"expect": 2, "field": "dormant_count", "tol_abs": 0.01, "type": "number"}, {"expect": ["DVEN-02", "DVEN-03"], "field": "dormant_vendors", "forbid": ["DVEN-04", "DVEN-05", "DVEN-06"], "type": "contains_all"}, {"expect": ["2025-03-02"], "field": "cutoff_date", "type": "contains_all"}, {"expect": ["DVEN-04"], "field": "unused_vendors", "type": "contains_all"}, {"expect": ["DVEN-06"], "field": "out_of_scope_vendors", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-095-dormant-vendor-review", "task_name": "vendor_master/dormant-vendor-review", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-096-dormant-vendor-review-esc-burie-quiet/documents/vendor-hygiene-policy.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"cutoff_date": "2025-03-02", "dormant_count": 2, "dormant_vendors": "DVEN-02, DVEN-03", "out_of_scope_vendors": "DVEN-06", "unused_vendors": "DVEN-04"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "vendor_master", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-096-dormant-vendor-review-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of vendor_master/dormant-vendor-review via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: closes tracked coverage gap art.vendor_dormancy (sim/coverage.py); dormant-account BEC exposure from research/external/articles/vendor-master-bec-fraud--{afp-truist,fbi-ic3,wa-state-auditor}.md; docs/HARD-LAYER-DESIGN.md M3/M5", "provenance": "variant", "version": "1.0.0", "walk_len": 6, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Marcus Bell · AP Controls · Teams 09:30**\n\nQuarterly vendor hygiene review for the REVIEW group — can you work out which ones need\ndeactivating? Follow the governing policy to the letter on this, the definition is fussier than it\nlooks and last quarter's numbers had to be restated because two different findings got\ncounted in the same bucket.\n\nUse today as the review date.\n", "rubric": {"checks": {"answer_checks": [{"expect": 2, "field": "dormant_count", "tol_abs": 0.01, "type": "number"}, {"expect": ["DVEN-02", "DVEN-03"], "field": "dormant_vendors", "forbid": ["DVEN-04", "DVEN-05", "DVEN-06"], "type": "contains_all"}, {"expect": ["2025-03-02"], "field": "cutoff_date", "type": "contains_all"}, {"expect": ["DVEN-04"], "field": "unused_vendors", "type": "contains_all"}, {"expect": ["DVEN-06"], "field": "out_of_scope_vendors", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-096-dormant-vendor-review-esc-burie-quiet", "task_name": "vendor_master/dormant-vendor-review-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-097-dormant-vendor-review-v2/documents/vendor-hygiene-policy.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"cutoff_date": "2025-03-02", "dormant_count": 2, "dormant_vendors": "DVEN-02, DVEN-03", "out_of_scope_vendors": "DVEN-06", "unused_vendors": "DVEN-04"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "vendor_master", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-097-dormant-vendor-review-v2", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of vendor_master/dormant-vendor-review via the tau2.retrieval_modes lever (doc_mode=buried, sim/prepare.py): identical ground truth, harder retrieval. Base task closes art.vendor_dormancy (sim/coverage.py); dormant-account BEC exposure from research/external/articles/vendor-master-bec-fraud--{afp-truist,fbi-ic3,wa-state-auditor}.md; docs/HARD-LAYER-DESIGN.md M3/M5", "provenance": "ported", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Marcus Bell · AP Controls · Teams 09:30**\n\nQuarterly vendor hygiene review for the REVIEW group — can you work out which ones need\ndeactivating? Whatever the current hygiene policy says, follow it to the letter - the definition is\nfussier than it looks and last quarter's numbers had to be restated because two different\nfindings got counted in the same bucket. I can never remember which SOP number it is, there\nare a lot of them on that shelf now.\n\nUse today as the review date.\n", "rubric": {"checks": {"answer_checks": [{"expect": 2, "field": "dormant_count", "tol_abs": 0.01, "type": "number"}, {"expect": ["DVEN-02", "DVEN-03"], "field": "dormant_vendors", "forbid": ["DVEN-04", "DVEN-05", "DVEN-06"], "type": "contains_all"}, {"expect": ["2025-03-02"], "field": "cutoff_date", "type": "contains_all"}, {"expect": ["DVEN-04"], "field": "unused_vendors", "type": "contains_all"}, {"expect": ["DVEN-06"], "field": "out_of_scope_vendors", "type": "contains_all"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["erp", "docs"], "type": "required_servers"}, {"n": 2, "server": "erp", "type": "min_calls"}, {"type": "reads_before_submit"}, {"n": 3, "server": "docs", "type": "min_calls"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-097-dormant-vendor-review-v2", "task_name": "vendor_master/dormant-vendor-review-v2", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 1, "name": "agent_sent_mail", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'", "type": "row_count"}, {"expect": 1, "name": "vendor_replied", "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'", "type": "row_count"}, {"expect": 1, "name": "mailed_the_vendor_on_file", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'", "type": "row_count"}], "submit_answer": {"contact_emailed": "ap@wingtip-sim.example", "po_exists_in_erp": "yes", "po_item": "PKG-LABEL-ROLL", "po_number": "PO-7003"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "vendor_master", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-098-missing-po-inquiry", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "TheAgentCompany finance suite pattern: agent must message an NPC for a blocking fact (research/external/repos/INDEX.md); enabled by email.send_message + scripted counterparties", "provenance": "ported", "version": "1.0.0", "walk_len": 6, "walk_servers": ["email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 09:22**\n\nTWINV-303 from Wingtip has no PO reference on it so it won't match or schedule. Can you sort it out and confirm the PO is real on our side?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PO-7003"], "field": "po_number", "type": "contains_all"}, {"expect": "yes", "field": "po_exists_in_erp", "type": "yes_no"}, {"expect": ["PKG-LABEL-ROLL"], "field": "po_item", "type": "contains_all"}, {"expect": ["wingtip"], "field": "contact_emailed", "type": "contains_all"}], "state_checks": [{"tables": ["answers", "email_messages"], "type": "writes_only"}, {"expect": 1, "name": "agent_sent_mail", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'", "type": "row_count"}, {"expect": 1, "name": "vendor_replied", "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'", "type": "row_count"}, {"expect": 1, "name": "mailed_the_vendor_on_file", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'", "type": "row_count"}], "trace_checks": [{"servers": ["erp", "email"], "type": "required_servers"}, {"n": 2, "server": "email", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-098-missing-po-inquiry", "task_name": "vendor_master/missing-po-inquiry", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": [], "gold_output": {"expected_state_assertions": [{"expect": 1, "name": "agent_sent_mail", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'", "type": "row_count"}, {"expect": 1, "name": "vendor_replied", "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'", "type": "row_count"}, {"expect": 1, "name": "mailed_the_vendor_on_file", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'", "type": "row_count"}], "submit_answer": {"contact_emailed": "ap@wingtip-sim.example", "po_exists_in_erp": "yes", "po_item": "PKG-LABEL-ROLL", "po_number": "PO-7003"}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "vendor_master", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-099-missing-po-inquiry-esc-burie-quiet", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "escalated variant of vendor_master/missing-po-inquiry via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: TheAgentCompany finance suite pattern: agent must message an NPC for a blocking fact (research/external/repos/INDEX.md); enabled by email.send_message + scripted counterparties", "provenance": "variant", "version": "1.0.0", "walk_len": 6, "walk_servers": ["email", "erp", "harness"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Priya Shah · AP Manager · Teams 09:22**\n\nTWINV-303 from Wingtip has no PO reference on it so it won't match or schedule. Can you sort it out and confirm the PO is real on our side?\n", "rubric": {"checks": {"answer_checks": [{"expect": ["PO-7003"], "field": "po_number", "type": "contains_all"}, {"expect": "yes", "field": "po_exists_in_erp", "type": "yes_no"}, {"expect": ["PKG-LABEL-ROLL"], "field": "po_item", "type": "contains_all"}, {"expect": ["wingtip"], "field": "contact_emailed", "type": "contains_all"}], "state_checks": [{"tables": ["answers", "email_messages"], "type": "writes_only"}, {"expect": 1, "name": "agent_sent_mail", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'", "type": "row_count"}, {"expect": 1, "name": "vendor_replied", "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'", "type": "row_count"}, {"expect": 1, "name": "mailed_the_vendor_on_file", "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'", "type": "row_count"}], "trace_checks": [{"servers": ["erp", "email"], "type": "required_servers"}, {"n": 2, "server": "email", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-099-missing-po-inquiry-esc-burie-quiet", "task_name": "vendor_master/missing-po-inquiry-esc-burie-quiet", "world_id": "ledgerbench-erp-world-v1"}
+{"context_files": ["task_files/lgr100-100-tac-find-signatories/documents/memo--interim-signing-delegation.md", "task_files/lgr100-100-tac-find-signatories/documents/policy--treasury-signing-authority.md"], "gold_output": {"expected_state_assertions": [], "submit_answer": {"authorised_signatories": "Marguerite Okonjo, Halvard Brekke, Priya Shah, Desmond Achebe", "authorised_signatory_count": 4, "departed_signatory": "SIG-06, Corinne Vasquez, Director of Financial Reporting (Band B, USD 250,000). The HR extract records her as a leaver with a final working day of 2026-02-13, so her authority fell away on that date under SOP-TR-02 s2.1; the register was never updated and her offboarding checklist is still open. Strike the row and revoke her payment-release access.", "expired_delegation": "SIG-07, held by Toma Larsen (Band B, USD 250,000, interim cover for the Controller). The CFO's delegation of 2025-11-03 was time-limited and ended 2026-02-28, so the authority is void from 2026-03-01 under SOP-TR-02 s2 even though the register still shows the row Active. He remains an employee in his substantive role; only the signing authority has lapsed, and the row must be struck at this refresh.", "max_release_without_band_a": 50000, "valid_mandate_rows": 5}}, "metadata": {"benchmark": "LedgerBench-100", "code_license": "Apache-2.0", "data_license": "CC-BY-4.0", "difficulty": "hard", "family": "vendor_master", "grading": "deterministic", "harbor_name": "blobfishai/lgr100-100-tac-find-signatories", "llm_judge": false, "mcp_servers": 8, "mcp_tools": 66, "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-find-signatories (establish the set of signatories from source records, then report both the number of signatures found and the smaller number of PEOPLE to act on - the original's 38 signatures vs 29 signatories). The original's ownCloud/RocketChat plumbing does not port: the workbooks become sheets (bank mandate register + HR personnel extract), the rules become docs (SOP-TR-02 and the CFO's interim delegation memo), and the answer goes through harness__submit_answer. Mechanics per docs/HARD-LAYER-DESIGN.md: M3 non-collapse (the register's own Active column is the naive source of truth and is wrong in two directions), M5 the validity rules live only in the SOP and the delegation memo - no field on the register says an authority has fallen away, and the Register status column actively asserts the opposite.", "provenance": "ported", "version": "1.0.0", "walk_len": 9, "walk_servers": ["docs", "email", "harness", "sheets"], "world_epoch": "2026-03-02T12:00:00Z"}, "prompt": "**Nyla Ferreira · Treasury Manager · Teams 08:20**\n\nFirst National want the mandate on the operating account re-certified by Friday, and anyone who\nisn't on the list I send gets struck off and their release access closed the same day. So I'd\nrather not just forward them the register as it stands.\n\nTreasury Ops keep that register by hand and I don't trust the status column on it — there's\nbeen movement in Reporting this quarter, and Halvard is back from leave, so the cover\narrangements we put in over the autumn have unwound. HR's finance-function extract is on the\nshared drive next to it.\n\nWork it per SOP-TR-02 and tell me who can genuinely sign today. I also need whatever has to come\noff the mandate, by name, so I can raise the ERP access revocations in the same pass.\n\nOne more for Friday's run: there's a supplier payment that has been going out on a Band B\nsignature. Tell me the largest single payment we can still release without going to the CFO or\nto Halvard.\n", "rubric": {"checks": {"answer_checks": [{"expect": 5, "field": "valid_mandate_rows", "gt_sql": "SELECT COUNT(*) FROM sheet_rows m JOIN sheet_rows h ON json_extract(h.cells,'$[0]')=json_extract(m.cells,'$[1]') WHERE m.file='bank-mandate-register-2026.xlsx' AND h.file='hr-personnel-extract-2026-03-01.xlsx' AND json_extract(m.cells,'$[0]') LIKE 'SIG-%' AND json_extract(h.cells,'$[4]')='Active' AND json_extract(m.cells,'$[6]')<=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10) AND (json_extract(m.cells,'$[7]')='' OR json_extract(m.cells,'$[7]')>=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10))", "tol_abs": 0.01, "type": "number"}, {"expect": 4, "field": "authorised_signatory_count", "gt_sql": "SELECT COUNT(DISTINCT json_extract(m.cells,'$[1]')) FROM sheet_rows m JOIN sheet_rows h ON json_extract(h.cells,'$[0]')=json_extract(m.cells,'$[1]') WHERE m.file='bank-mandate-register-2026.xlsx' AND h.file='hr-personnel-extract-2026-03-01.xlsx' AND json_extract(m.cells,'$[0]') LIKE 'SIG-%' AND json_extract(h.cells,'$[4]')='Active' AND json_extract(m.cells,'$[6]')<=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10) AND (json_extract(m.cells,'$[7]')='' OR json_extract(m.cells,'$[7]')>=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10))", "tol_abs": 0.01, "type": "number"}, {"expect": ["Okonjo", "Brekke", "Shah", "Achebe"], "field": "authorised_signatories", "forbid": ["Vasquez", "Larsen", "Fabbri", "Nystrom", "Bergstrom", "Ferreira"], "type": "contains_all"}, {"expect": ["Larsen"], "field": "expired_delegation", "forbid": ["Vasquez"], "type": "contains_all"}, {"expect": ["Vasquez"], "field": "departed_signatory", "forbid": ["Larsen", "Bergstrom"], "type": "contains_all"}, {"expect": 50000.0, "field": "max_release_without_band_a", "gt_sql": "SELECT MAX(json_extract(m.cells,'$[5]')) FROM sheet_rows m JOIN sheet_rows h ON json_extract(h.cells,'$[0]')=json_extract(m.cells,'$[1]') WHERE m.file='bank-mandate-register-2026.xlsx' AND h.file='hr-personnel-extract-2026-03-01.xlsx' AND json_extract(m.cells,'$[0]') LIKE 'SIG-%' AND json_extract(m.cells,'$[4]')<>'A' AND json_extract(h.cells,'$[4]')='Active' AND json_extract(m.cells,'$[6]')<=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10) AND (json_extract(m.cells,'$[7]')='' OR json_extract(m.cells,'$[7]')>=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10))", "tol_abs": 0.05, "type": "number"}], "state_checks": [{"tables": ["answers"], "type": "writes_only"}], "trace_checks": [{"servers": ["sheets", "docs"], "type": "required_servers"}, {"n": 3, "server": "sheets", "type": "min_calls"}, {"n": 2, "server": "docs", "type": "min_calls"}, {"type": "reads_before_submit"}]}, "engine": "verifiers/vcode.py (binary reward; all checks must pass)", "gates": ["answer_checks: submitted fields graded by type with tolerances", "trace_checks: required servers visited, reads precede submission", "state_checks: writes_only anti-hack veto plus SQL over the world left behind"], "type": "deterministic"}, "task_id": "lgr100-100-tac-find-signatories", "task_name": "vendor_master/tac-find-signatories", "world_id": "ledgerbench-erp-world-v1"}
diff --git a/reports/build.json b/reports/build.json
new file mode 100644
index 0000000000000000000000000000000000000000..aed1a1b26ede2a2805fc42d9f0c332435d5262da
--- /dev/null
+++ b/reports/build.json
@@ -0,0 +1,73 @@
+{
+  "benchmark": "LedgerBench-100",
+  "checks": {
+    "answer_checks_total": 434,
+    "checks_total": 955,
+    "state_checks_total": 264,
+    "trace_checks_total": 257
+  },
+  "context_files": {
+    "tasks_with_context_files": 47,
+    "total": 59,
+    "unique_sha256": 36
+  },
+  "escalated_variant_pairs": 30,
+  "exact_duplicate_prompts": 25,
+  "family_count": 22,
+  "mcp_servers": 8,
+  "mcp_tools": 66,
+  "prompt_uniqueness": {
+    "maximum_jaccard_5_shingle": 1.0,
+    "pair_indices": [
+      1,
+      2
+    ]
+  },
+  "prompt_uniqueness_excluding_variant_pairs": {
+    "maximum_jaccard_5_shingle": 0.91411,
+    "pair_indices": [
+      23,
+      24
+    ]
+  },
+  "schema_version": "1.0",
+  "task_count": 100,
+  "tasks_per_family": {
+    "anomaly_triage": 1,
+    "bank_rec": 4,
+    "business_brief": 3,
+    "business_brief_fb": 3,
+    "cash_app": 3,
+    "cash_forecast": 2,
+    "close_mgmt": 6,
+    "collections_ops": 1,
+    "cross_system": 7,
+    "erp_qa": 11,
+    "erp_qa_fb": 5,
+    "erpbench": 10,
+    "expense_audit": 4,
+    "finance_qa": 10,
+    "finance_qa_fb": 2,
+    "fpna": 5,
+    "journal_entry": 2,
+    "payment_proposal": 2,
+    "payment_run": 3,
+    "pbc": 4,
+    "threeway_match": 5,
+    "vendor_master": 7
+  },
+  "verifier": {
+    "deterministic": true,
+    "model_calls": 0,
+    "network_calls": 0,
+    "random_calls": 0,
+    "wall_clock_reads_in_reward_path": 0
+  },
+  "version": "1.0.0",
+  "walk_len": {
+    "max": 104,
+    "median": 6,
+    "min": 3,
+    "total": 1515
+  }
+}
diff --git a/reports/qualification.json b/reports/qualification.json
new file mode 100644
index 0000000000000000000000000000000000000000..69ee40057f64be5e51c54d4975de65d1fe20c3d0
--- /dev/null
+++ b/reports/qualification.json
@@ -0,0 +1,6299 @@
+{
+  "benchmark": "LedgerBench-100",
+  "determinism": {
+    "exact_report_matches": 100,
+    "mismatches": 0,
+    "replays": 100
+  },
+  "executions": 600,
+  "failure_samples": {
+    "no_submit": [
+      {
+        "failed_checks": [
+          "answer:amount_prevented:missing",
+          "answer:duplicate_found:missing",
+          "answer:duplicate_invoice:missing",
+          "answer:duplicate_of:missing"
+        ],
+        "task_id": "lgr100-001-duplicate-payment-mar"
+      },
+      {
+        "failed_checks": [
+          "answer:reopened_invoice:missing",
+          "answer:returned_amount:missing",
+          "answer:returned_payment_ref:missing",
+          "answer:true_open_balance:missing"
+        ],
+        "task_id": "lgr100-002-ach-return-mar"
+      },
+      {
+        "failed_checks": [
+          "answer:reopened_invoice:missing",
+          "answer:returned_amount:missing",
+          "answer:returned_payment_ref:missing",
+          "answer:true_open_balance:missing"
+        ],
+        "task_id": "lgr100-003-ach-return-mar-esc-burie-quiet"
+      }
+    ],
+    "noop": [
+      {
+        "failed_checks": [
+          "answer:amount_prevented:missing",
+          "answer:duplicate_found:missing",
+          "answer:duplicate_invoice:missing",
+          "answer:duplicate_of:missing"
+        ],
+        "task_id": "lgr100-001-duplicate-payment-mar"
+      },
+      {
+        "failed_checks": [
+          "answer:reopened_invoice:missing",
+          "answer:returned_amount:missing",
+          "answer:returned_payment_ref:missing",
+          "answer:true_open_balance:missing"
+        ],
+        "task_id": "lgr100-002-ach-return-mar"
+      },
+      {
+        "failed_checks": [
+          "answer:reopened_invoice:missing",
+          "answer:returned_amount:missing",
+          "answer:returned_payment_ref:missing",
+          "answer:true_open_balance:missing"
+        ],
+        "task_id": "lgr100-003-ach-return-mar-esc-burie-quiet"
+      }
+    ],
+    "off_task_write": [
+      {
+        "failed_checks": [
+          "state:off_task_writes(['meta'])"
+        ],
+        "task_id": "lgr100-001-duplicate-payment-mar"
+      },
+      {
+        "failed_checks": [
+          "state:off_task_writes(['meta'])"
+        ],
+        "task_id": "lgr100-002-ach-return-mar"
+      },
+      {
+        "failed_checks": [
+          "state:off_task_writes(['meta'])"
+        ],
+        "task_id": "lgr100-003-ach-return-mar-esc-burie-quiet"
+      }
+    ],
+    "wrong_submit": [
+      {
+        "failed_checks": [
+          "answer:amount_prevented:not_numeric",
+          "answer:duplicate_found:unparseable_yes_no(got=totally-wrong-answer-xyzzy)",
+          "answer:duplicate_invoice:missing_terms(['5521-OPS'])",
+          "answer:duplicate_of:missing_terms(['OSINV-5521'])"
+        ],
+        "task_id": "lgr100-001-duplicate-payment-mar"
+      },
+      {
+        "failed_checks": [
+          "answer:reopened_invoice:missing_terms(['LHINV-001'])",
+          "answer:returned_amount:not_numeric",
+          "answer:returned_payment_ref:missing_terms(['LHPAY-77'])",
+          "answer:true_open_balance:not_numeric"
+        ],
+        "task_id": "lgr100-002-ach-return-mar"
+      },
+      {
+        "failed_checks": [
+          "answer:reopened_invoice:missing_terms(['LHINV-001'])",
+          "answer:returned_amount:not_numeric",
+          "answer:returned_payment_ref:missing_terms(['LHPAY-77'])",
+          "answer:true_open_balance:not_numeric"
+        ],
+        "task_id": "lgr100-003-ach-return-mar-esc-burie-quiet"
+      }
+    ]
+  },
+  "negative_controls": {
+    "no_submit": {
+      "correct_rejections": 100,
+      "executions": 100,
+      "false_accepts": 0
+    },
+    "noop": {
+      "correct_rejections": 100,
+      "executions": 100,
+      "false_accepts": 0
+    },
+    "off_task_write": {
+      "correct_rejections": 100,
+      "executions": 100,
+      "false_accepts": 0
+    },
+    "wrong_submit": {
+      "correct_rejections": 100,
+      "executions": 100,
+      "false_accepts": 0
+    }
+  },
+  "oracle": {
+    "executions": 100,
+    "failures": 0,
+    "passes": 100
+  },
+  "release_passed": true,
+  "schema_version": "1.0",
+  "task_count": 100,
+  "task_results": [
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:amount_prevented:missing",
+            "answer:duplicate_found:missing",
+            "answer:duplicate_invoice:missing",
+            "answer:duplicate_of:missing",
+            "answer:run_id:missing",
+            "answer:total_paid:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "4e436bbd20bc4ce26b3d74ecd7d2dd240547c3c57c5487779c383dfa7b2b63f5",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:amount_prevented:missing",
+            "answer:duplicate_found:missing",
+            "answer:duplicate_invoice:missing",
+            "answer:duplicate_of:missing",
+            "answer:run_id:missing",
+            "answer:total_paid:missing",
+            "state:sql(duplicate_rejected_with_code: got none, want duplicate)",
+            "state:sql(exactly_one_rejection: got 0, want 1)",
+            "state:sql(lookalike_was_paid: got none, want paid)",
+            "state:sql(paid_set: got none, want osinv-5530,osinv-5555,tps-11907)",
+            "state:sql(paid_total_rederived: got None, want 34450.0)",
+            "state:sql(run_committed: got none, want committed)",
+            "trace:min_calls(erp<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs', 'email'])"
+          ],
+          "passed": false,
+          "report_sha256": "15e3a1bc020895ecbf4fc5f12eb4ac21a4cfbcb8e13ee5fac484fc83f3f55504",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "ab5fd9fb7c897905db2de313d0c416d8cdffa74d708a384cf396b9c53c47d227",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:amount_prevented:not_numeric",
+            "answer:duplicate_found:unparseable_yes_no(got=totally-wrong-answer-xyzzy)",
+            "answer:duplicate_invoice:missing_terms(['5521-OPS'])",
+            "answer:duplicate_of:missing_terms(['OSINV-5521'])",
+            "answer:run_id:missing_terms(['PR-00001'])",
+            "answer:total_paid:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "e4be50fd818fb5eec44cf065858a792fd912e945ab36307f3c1dfca18813a078",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "3e9d1fb5ee7ef10b6357a1bb155a35f6d3d5a663d11f9f7adc5d4258ebb81b55",
+      "oracle_servers_used": [
+        "docs",
+        "email",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 11,
+      "second_oracle_report_sha256": "3e9d1fb5ee7ef10b6357a1bb155a35f6d3d5a663d11f9f7adc5d4258ebb81b55",
+      "task_id": "lgr100-001-duplicate-payment-mar"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:reopened_invoice:missing",
+            "answer:returned_amount:missing",
+            "answer:returned_payment_ref:missing",
+            "answer:true_open_balance:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "fc1df5faddba1cc318f204ed9f11a9860cf4d37a0e1c7325544d75269e692adc",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:reopened_invoice:missing",
+            "answer:returned_amount:missing",
+            "answer:returned_payment_ref:missing",
+            "answer:true_open_balance:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'sheets'])"
+          ],
+          "passed": false,
+          "report_sha256": "e166eaafca2479ac3954e9f1c4672a2489022b0fe8a947f54d34883d2efa5bac",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "a5c3d58fcd48e4af907d8a77f85f40f068c822d1d4e5e368b501f273c53f4e68",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:reopened_invoice:missing_terms(['LHINV-001'])",
+            "answer:returned_amount:not_numeric",
+            "answer:returned_payment_ref:missing_terms(['LHPAY-77'])",
+            "answer:true_open_balance:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "fa1f64278b27c73d2d9e2da10bdb584259e6f072b454b85d302f0f7a413e9316",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "cffd96555cce05c9e9d857c94a4a9856a6a29523da0d2ee85015b5a5df847fe9",
+      "oracle_servers_used": [
+        "erp",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 5,
+      "second_oracle_report_sha256": "cffd96555cce05c9e9d857c94a4a9856a6a29523da0d2ee85015b5a5df847fe9",
+      "task_id": "lgr100-002-ach-return-mar"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:reopened_invoice:missing",
+            "answer:returned_amount:missing",
+            "answer:returned_payment_ref:missing",
+            "answer:true_open_balance:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "da69b7594902aea047764ee3f33cf98b0c1af0e401b31aa95d12d005e4797d07",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:reopened_invoice:missing",
+            "answer:returned_amount:missing",
+            "answer:returned_payment_ref:missing",
+            "answer:true_open_balance:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'sheets'])"
+          ],
+          "passed": false,
+          "report_sha256": "01521448ec59fa5ce7b839a3d651e0b431395191ba50e5359dcc23a1b0eeab04",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "6299091284ab1f54ee2663f32de3cc919080adc7575ab49956435d48635f9b75",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:reopened_invoice:missing_terms(['LHINV-001'])",
+            "answer:returned_amount:not_numeric",
+            "answer:returned_payment_ref:missing_terms(['LHPAY-77'])",
+            "answer:true_open_balance:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "33c81ebc68d06e20ca2b7d8e57f9c29a1e4794ae9b3089c5d9cd9c08af2284cd",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "be7a8b2c4308b25cfcf37e488f7f36e23fc2babeecf9c15edb6f21dbfd5c97d1",
+      "oracle_servers_used": [
+        "erp",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 5,
+      "second_oracle_report_sha256": "be7a8b2c4308b25cfcf37e488f7f36e23fc2babeecf9c15edb6f21dbfd5c97d1",
+      "task_id": "lgr100-003-ach-return-mar-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:bank_only_ref:missing",
+            "answer:books_only_ref:missing",
+            "answer:discrepancy_amount:missing",
+            "answer:discrepancy_ref:missing",
+            "answer:matched_count:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "15ba0fb68fbd1a169604e6d0fad420df9c5f447c13a6ef82978fbb126c16c780",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:bank_only_ref:missing",
+            "answer:books_only_ref:missing",
+            "answer:discrepancy_amount:missing",
+            "answer:discrepancy_ref:missing",
+            "answer:matched_count:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'sheets'])"
+          ],
+          "passed": false,
+          "report_sha256": "cecc38fca28fd51be04e81b2fb0a64e29ec22bc5669722bd96cc0c9b2a6a676a",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "6a8fcacd5937be6f663819a595594484b4c857fd3ae912be29aa65c30cec1874",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:bank_only_ref:missing_terms(['DEP-9911'])",
+            "answer:books_only_ref:missing_terms(['PMT-2104'])",
+            "answer:discrepancy_amount:not_numeric",
+            "answer:discrepancy_ref:missing_terms(['PMT-2102'])",
+            "answer:matched_count:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "57c63719e6e852b86edf13a4269b3e0f695bdc817d1f318d904cd22ae7c61230",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "ac8c0a4c424c363dd2afd65430a6abf6e87afc5af9a7d4564467069208a69f0f",
+      "oracle_servers_used": [
+        "erp",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 4,
+      "second_oracle_report_sha256": "ac8c0a4c424c363dd2afd65430a6abf6e87afc5af9a7d4564467069208a69f0f",
+      "task_id": "lgr100-004-statement-divergence-feb"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:bank_only_ref:missing",
+            "answer:books_only_ref:missing",
+            "answer:discrepancy_amount:missing",
+            "answer:discrepancy_ref:missing",
+            "answer:matched_count:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "88a90503b54fbf2ba66160a8e6d8e5bc5a121c82d53ee6e04228ee6a2bdb7e9f",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:bank_only_ref:missing",
+            "answer:books_only_ref:missing",
+            "answer:discrepancy_amount:missing",
+            "answer:discrepancy_ref:missing",
+            "answer:matched_count:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'sheets'])"
+          ],
+          "passed": false,
+          "report_sha256": "b773db3ef40d4d6d1b516e52a937a4204cbe5b095d8dcddb8f17c7d074e7dc20",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "6423ec3eb96b2ac9dfd9631853eae3be981d5563369c05f732fcf87604226534",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:bank_only_ref:missing_terms(['DEP-9911'])",
+            "answer:books_only_ref:missing_terms(['PMT-2104'])",
+            "answer:discrepancy_amount:not_numeric",
+            "answer:discrepancy_ref:missing_terms(['PMT-2102'])",
+            "answer:matched_count:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "9e1eb12e4eaa17572e3a29ffa70cc6e94aa7448bf9fad94d933d2a74d26586d9",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "a72b4ab16035ff27a89d0c3ce1ecd88eede24023b0632d7df148b4493374ce51",
+      "oracle_servers_used": [
+        "erp",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 4,
+      "second_oracle_report_sha256": "a72b4ab16035ff27a89d0c3ce1ecd88eede24023b0632d7df148b4493374ce51",
+      "task_id": "lgr100-005-statement-divergence-feb-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:equity_fy2024:missing",
+            "answer:internal_ar_relationship:missing",
+            "answer:lt_de_ratio_3yr_avg:missing",
+            "answer:lt_debt_fy2024:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "beb2c75048764d1df7124e719796dc6248284356200f97d51cb7a09a8e90c7de",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:equity_fy2024:missing",
+            "answer:internal_ar_relationship:missing",
+            "answer:lt_de_ratio_3yr_avg:missing",
+            "answer:lt_debt_fy2024:missing",
+            "trace:min_calls(filings<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['filings', 'erp'])"
+          ],
+          "passed": false,
+          "report_sha256": "c7f8e83efecb382c813e0e0d090e9668dad4ea53da2e94b0771838ccacf5b53b",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "62d685ae5d75f9d2e9a2fed012f9760c322b7e55e77e51ebe3656501411cd4e4",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:equity_fy2024:not_numeric",
+            "answer:internal_ar_relationship:expected_none(got=totally-wrong-answer-xyzzy)",
+            "answer:lt_de_ratio_3yr_avg:not_numeric",
+            "answer:lt_debt_fy2024:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "b19cfc8d214de2668fe5ac8584cd22c3ec2170f8b26d0083a4fc287fd00abe47",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "c2c148f06f84c9e97fd117d2901e7b64b6ae91a67ea338e7af1d78dd37a1caa7",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "filings",
+        "harness"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "c2c148f06f84c9e97fd117d2901e7b64b6ae91a67ea338e7af1d78dd37a1caa7",
+      "task_id": "lgr100-006-brief-caterpillar"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:equity_fy2024:missing",
+            "answer:internal_ar_relationship:missing",
+            "answer:lt_de_ratio_3yr_avg:missing",
+            "answer:lt_debt_fy2024:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "938e5e871eb9a91d837d66f6c06db50fd51a5fd75e3f536f6f45662fa0c66032",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:equity_fy2024:missing",
+            "answer:internal_ar_relationship:missing",
+            "answer:lt_de_ratio_3yr_avg:missing",
+            "answer:lt_debt_fy2024:missing",
+            "trace:min_calls(filings<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['filings', 'erp'])"
+          ],
+          "passed": false,
+          "report_sha256": "2ce7a8819aa899841ed49aaab830bdda575784c1779834b43a41fd3f46366d42",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "870bb4ca641c30242fb4bb8e9d070bd2490fa36cb63b7bd68507735bfe0b76e8",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:equity_fy2024:not_numeric",
+            "answer:internal_ar_relationship:expected_none(got=totally-wrong-answer-xyzzy)",
+            "answer:lt_de_ratio_3yr_avg:not_numeric",
+            "answer:lt_debt_fy2024:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "526d529e79997829a8a0bc07722cc0c164b3daa7b48813aec8b2f725407e3b1f",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "5b6039979afa126f0a5f250382ba362971f4d9dab956ba55f3d2747fdd2977c8",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "filings",
+        "harness"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "5b6039979afa126f0a5f250382ba362971f4d9dab956ba55f3d2747fdd2977c8",
+      "task_id": "lgr100-007-brief-caterpillar-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:internal_relationship:missing",
+            "answer:leverage_classification:missing",
+            "answer:lt_de_2022:missing",
+            "answer:lt_de_2023:missing",
+            "answer:lt_de_2024:missing",
+            "answer:lt_de_ratio_3yr_avg:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "75edda3994252b08e27aa57c41431dfd97dac027e17a33f0c89abc26e12d2d8e",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:internal_relationship:missing",
+            "answer:leverage_classification:missing",
+            "answer:lt_de_2022:missing",
+            "answer:lt_de_2023:missing",
+            "answer:lt_de_2024:missing",
+            "answer:lt_de_ratio_3yr_avg:missing",
+            "trace:min_calls(filings<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['filings', 'erp', 'docs'])"
+          ],
+          "passed": false,
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+          "report_sha256": "ab7171acb3ed739a1bfd525e76ba7e07c890fd1c4f2b2f89de963caa820ba033",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "4eb9eaaabcbaf9a030cd2000146449f6ee4e75d6b357e95519a0272e4b739887",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "4eb9eaaabcbaf9a030cd2000146449f6ee4e75d6b357e95519a0272e4b739887",
+      "task_id": "lgr100-016-cesp-four-week-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:amount:missing",
+            "answer:january_status:missing",
+            "answer:journal_id:missing",
+            "answer:journal_state:missing",
+            "answer:posting_period:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "1b908cd188e01618cf7ef930db2235823394d932f386b5a26178ba514158d8ac",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:amount:missing",
+            "answer:january_status:missing",
+            "answer:journal_id:missing",
+            "answer:journal_state:missing",
+            "answer:posting_period:missing",
+            "state:sql(booked_to_open_period: got none, want 2026-03)",
+            "state:sql(correction_posted: got none, want posted)",
+            "state:sql(credit_reverses_te: got none, want 600300)",
+            "state:sql(debit_to_software: got none, want 600200)",
+            "state:sql(reclass_nets_to_zero: got None, want 0.0)",
+            "trace:min_calls(erp<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "87b9d0ed7143099a09c3a3019922096b512b2ce82d4c0dfbd75aa0038da6df01",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "8b70f91597df357eec1478b56242779e1fcdf8acca7fd52ce8e297a5674609fa",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:amount:not_numeric",
+            "answer:january_status:missing_terms(['closed'])",
+            "answer:journal_id:missing_terms(['GJ-00002'])",
+            "answer:journal_state:missing_terms(['posted'])",
+            "answer:posting_period:missing_terms(['2026-03'])"
+          ],
+          "passed": false,
+          "report_sha256": "546bb06ee629ecc40554070ed72411f1fc1e21b9deaea4a24e19e20741255d67",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "a9e8e4346bdf7655fbca8cdec6d2fe290726fbcf93e88e3a9c72ac7b9c64ee7b",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "a9e8e4346bdf7655fbca8cdec6d2fe290726fbcf93e88e3a9c72ac7b9c64ee7b",
+      "task_id": "lgr100-017-period-lock-correction"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:amount:missing",
+            "answer:january_status:missing",
+            "answer:journal_id:missing",
+            "answer:journal_state:missing",
+            "answer:posting_period:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "d06ebd87f7f1bb9c007fe090d7c1e6a3a30e3c4284c71688e809f610bc07c35e",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:amount:missing",
+            "answer:january_status:missing",
+            "answer:journal_id:missing",
+            "answer:journal_state:missing",
+            "answer:posting_period:missing",
+            "state:sql(booked_to_open_period: got none, want 2026-03)",
+            "state:sql(correction_posted: got none, want posted)",
+            "state:sql(credit_reverses_te: got none, want 600300)",
+            "state:sql(debit_to_software: got none, want 600200)",
+            "state:sql(reclass_nets_to_zero: got None, want 0.0)",
+            "trace:min_calls(erp<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "349737485457a4d3a7735ea3bb36d31a0ddb6eb991c8fc8fbae5d25257f7d346",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "389d73007089940dc1bc4eefb9586356f794e93fe06d8d6d96c8ef86bcb120b6",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:amount:not_numeric",
+            "answer:january_status:missing_terms(['closed'])",
+            "answer:journal_id:missing_terms(['GJ-00002'])",
+            "answer:journal_state:missing_terms(['posted'])",
+            "answer:posting_period:missing_terms(['2026-03'])"
+          ],
+          "passed": false,
+          "report_sha256": "10b81bf3888dc1a76b1f8c6ffd59f9b26ac7b7f1733e6515038db4d6a4861cc6",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "e028dee4cf3588ffd173bc7dd8a382dae42fce3804ba50f18a567aeadad8c6d4",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "e028dee4cf3588ffd173bc7dd8a382dae42fce3804ba50f18a567aeadad8c6d4",
+      "task_id": "lgr100-018-period-lock-correction-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:amount_exceptions:missing",
+            "answer:flagged_contracts:missing",
+            "answer:over_recognised_usd:missing",
+            "answer:timing_exceptions:missing",
+            "answer:under_recognised_usd:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "74b3d705c5f7cdf033077102da94001e9df36395e174d89117df602fdc29693c",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:amount_exceptions:missing",
+            "answer:flagged_contracts:missing",
+            "answer:over_recognised_usd:missing",
+            "answer:timing_exceptions:missing",
+            "answer:under_recognised_usd:missing",
+            "trace:min_calls(sheets<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['sheets', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "becc1e99a3ce2abb8f08b7842001e4f5e7fa96c7105b26d82df0636daada55b1",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "e2c67846971fe79f6c6705707f7d71d772e29efc6bf451e8fc2f1d02bd0038ce",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:amount_exceptions:missing_terms(['CTR-2047', 'CTR-2052'])",
+            "answer:flagged_contracts:missing_terms(['CTR-2047', 'CTR-2052', 'CTR-2055', 'CTR-2058'])",
+            "answer:over_recognised_usd:not_numeric",
+            "answer:timing_exceptions:missing_terms(['CTR-2055', 'CTR-2058'])",
+            "answer:under_recognised_usd:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "e668dc934a982d926b00b83ead8f6697c9e897c5d835807e6a8164d45de05067",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "515d9274dee7b052e5a3f545b033de0506b13d55d348ad52372169481e66410c",
+      "oracle_servers_used": [
+        "docs",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "515d9274dee7b052e5a3f545b033de0506b13d55d348ad52372169481e66410c",
+      "task_id": "lgr100-019-revenue-recognition-tieout"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:amount_exceptions:missing",
+            "answer:flagged_contracts:missing",
+            "answer:over_recognised_usd:missing",
+            "answer:timing_exceptions:missing",
+            "answer:under_recognised_usd:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "d5515cebf4f911ef9a2c4a51e12becdd1f3ee6ca66391975a3986534f5bdf842",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:amount_exceptions:missing",
+            "answer:flagged_contracts:missing",
+            "answer:over_recognised_usd:missing",
+            "answer:timing_exceptions:missing",
+            "answer:under_recognised_usd:missing",
+            "trace:min_calls(sheets<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['sheets', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "350d0bc60fc5b41fd3fa87e392123180807880c83e73b46bbadd31901fcca89c",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "51e116d31429a439266c33e449ecc2f1f9e1b12794b621f987fad69c9b1754d7",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:amount_exceptions:missing_terms(['CTR-2047', 'CTR-2052'])",
+            "answer:flagged_contracts:missing_terms(['CTR-2047', 'CTR-2052', 'CTR-2055', 'CTR-2058'])",
+            "answer:over_recognised_usd:not_numeric",
+            "answer:timing_exceptions:missing_terms(['CTR-2055', 'CTR-2058'])",
+            "answer:under_recognised_usd:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "7486d761ed198c33c9bde7a2213c390311b85863bcfb91e721b89d963df89581",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "0a65f3ab330cfba406e4136eedda44135e12bf185a2aa28f6d84279e35ad36c3",
+      "oracle_servers_used": [
+        "docs",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "0a65f3ab330cfba406e4136eedda44135e12bf185a2aa28f6d84279e35ad36c3",
+      "task_id": "lgr100-020-revenue-recognition-tieout-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:blocking_task_owner:missing",
+            "answer:erp_ap_balance:missing",
+            "answer:erp_ar_balance:missing",
+            "answer:unreconciled_subledger:missing",
+            "answer:variance_amount:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "427ad1ddb0600b958af6c0c9c0a561a84fa778b54fddc9bf966f04c0a58f4e3f",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:blocking_task_owner:missing",
+            "answer:erp_ap_balance:missing",
+            "answer:erp_ar_balance:missing",
+            "answer:unreconciled_subledger:missing",
+            "answer:variance_amount:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'sheets', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "a86117edbbdd74f7789c2bd60780005e0f267b65d4459d8e2c0167a4eae4d1c6",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "3c0c82072611dc450b6048f840a3c88384086d8002b2dde27aa772bebd188eb4",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:blocking_task_owner:missing_terms(['jordan'])",
+            "answer:erp_ap_balance:not_numeric",
+            "answer:erp_ar_balance:not_numeric",
+            "answer:unreconciled_subledger:missing_terms(['AP'])",
+            "answer:variance_amount:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "97d24980f0d678a4882c26f1de1b40168d6f329eaae4bf1f808d1510e3c201b6",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "857e73b8fe63e981711e0dab909416233561be0f96cd3d022c7df51b94717ea0",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "857e73b8fe63e981711e0dab909416233561be0f96cd3d022c7df51b94717ea0",
+      "task_id": "lgr100-021-subledger-tieout-feb"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:blocking_task_owner:missing",
+            "answer:erp_ap_balance:missing",
+            "answer:erp_ar_balance:missing",
+            "answer:unreconciled_subledger:missing",
+            "answer:variance_amount:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "f9fc4f2995beb405d5035b2b7584a248b9bc5ce811874ee0e3df12c5bfd9665e",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:blocking_task_owner:missing",
+            "answer:erp_ap_balance:missing",
+            "answer:erp_ar_balance:missing",
+            "answer:unreconciled_subledger:missing",
+            "answer:variance_amount:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'sheets', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "ddf1d5b7850ce8f58aa45206fb5b03946803e0560bb7798c2cc0c104b3cdae4b",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "8412150d56f5ea4f4ed87c3bb6d7af2880bb978baf17b7a0f6c06ff1964c7d13",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:blocking_task_owner:missing_terms(['jordan'])",
+            "answer:erp_ap_balance:not_numeric",
+            "answer:erp_ar_balance:not_numeric",
+            "answer:unreconciled_subledger:missing_terms(['AP'])",
+            "answer:variance_amount:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "0387f97002b89073d8dc9e107f62504cfe6325d70fa6415d9646d32f4ce2d6ce",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "13966ec00ecd274c0d0955803ddcc18d49c80b793e234ba85005642fcac93598",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "13966ec00ecd274c0d0955803ddcc18d49c80b793e234ba85005642fcac93598",
+      "task_id": "lgr100-022-subledger-tieout-feb-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:credit_hold_placed:missing",
+            "answer:letter_fee:missing",
+            "answer:letter_issued:missing",
+            "answer:reasoning:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "36450afb88eb4d3b328b35b30eae17b8f6b5831d0001fdae59d8fbd7c415bc74",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:credit_hold_placed:missing",
+            "answer:letter_fee:missing",
+            "answer:letter_issued:missing",
+            "answer:reasoning:missing",
+            "state:cell_equals(letter3_fee: got None, want 40.0)",
+            "state:row_count(letter3_posted_today: got 0, want 1)",
+            "state:row_count(no_duplicate_letters: got 2, want 3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "c39386ba8605d3d964383ee8fbd334a750c12bac5456733821c34ac436bb8282",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "cc8745e69e4711dd23cfcafe5095c7449c28ab1fc600aeffb84302c8cf2003fd",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:credit_hold_placed:unparseable_yes_no(got=totally-wrong-answer-xyzzy)",
+            "answer:letter_fee:not_numeric",
+            "answer:letter_issued:missing_terms(['3'])",
+            "answer:reasoning:missing_terms(['75'])"
+          ],
+          "passed": false,
+          "report_sha256": "39ca4c6bf47497caed1208b8992526e7a5c3f7f522bd22a83cd770ee9eed389e",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "8e6d00e0b0f9264cbd39f15a9adc9b8d60be0cc76437d3af687744ebb681c040",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "8e6d00e0b0f9264cbd39f15a9adc9b8d60be0cc76437d3af687744ebb681c040",
+      "task_id": "lgr100-023-escalate-sparrow-letter3"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:evidence_source:missing",
+            "answer:found_in_erp:missing",
+            "answer:invoice_number:missing",
+            "answer:outstanding_amount:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "f09b3a97b4bc2c10f01e87e07f55a13b0ad192164fac3c9bde1c9c00737cab7f",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:evidence_source:missing",
+            "answer:found_in_erp:missing",
+            "answer:invoice_number:missing",
+            "answer:outstanding_amount:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'email'])"
+          ],
+          "passed": false,
+          "report_sha256": "8352d3f45e5bbb4fef38af4be6d739d50165d95de56606ab0b37ece3325ee2e3",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "da2b4fd3eb166b6fbb70911970c5710c5e0e02fefcdc1e9f5b2b866a8d81e0de",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:evidence_source:missing_terms(['mail'])",
+            "answer:found_in_erp:unparseable_yes_no(got=totally-wrong-answer-xyzzy)",
+            "answer:invoice_number:missing_terms(['INV-2026-047'])",
+            "answer:outstanding_amount:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "fa438574d3ec00c0b84a06eaac4132fa261f97121b0bd8c8227fd1ca94879646",
+          "reward": 0.0
+        }
+      },
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+            "answer:invoices_due_this_week_total:missing",
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+            "answer:invoices_due_this_week_total:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp'])"
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
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+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 282)",
+            "state:sql(confirmed_purchase_units: got 0, want 1595)",
+            "state:sql(confirmed_sale_units: got 0, want 638)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 664198.04)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
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+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
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+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 753)",
+            "state:sql(confirmed_purchase_units: got 0, want 3202)",
+            "state:sql(confirmed_sale_units: got 0, want 480)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 225259.64)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
+          ],
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+            "answer:orders_rejected:not_numeric",
+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned"
+    },
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
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+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 408)",
+            "state:sql(confirmed_purchase_units: got 0, want 2841)",
+            "state:sql(confirmed_sale_units: got 0, want 520)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 431224.32)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
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+            "answer:orders_rejected:not_numeric",
+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned"
+    },
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
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+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 597)",
+            "state:sql(confirmed_purchase_units: got 0, want 4752)",
+            "state:sql(confirmed_sale_units: got 0, want 690)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 2566256.86)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
+          ],
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+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned"
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
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+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 624)",
+            "state:sql(confirmed_purchase_units: got 0, want 5820)",
+            "state:sql(confirmed_sale_units: got 0, want 775)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 1101367.17)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
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+            "answer:units_purchased:not_numeric"
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+    },
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
+          ],
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+          "report_sha256": "05924b14ebade55ff370b7e4af5eecf97996cd384da8c0ef74325ed9d2469034",
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 645)",
+            "state:sql(confirmed_purchase_units: got 0, want 2755)",
+            "state:sql(confirmed_sale_units: got 0, want 806)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 841468.02)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
+          ],
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+          "report_sha256": "8aca07fd908998ab72690edecd2a6b7c1022b789cd1391024f002fc9f26abef3",
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+            "answer:orders_rejected:not_numeric",
+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned"
+    },
+    {
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+      "negative_executions": {
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+            "answer:assembly_cost:missing",
+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
+          ],
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+          "report_sha256": "24a7f598766a05eadb3d85a934ed8add6e5f2e7166778090cb21ae399607547a",
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 558)",
+            "state:sql(confirmed_purchase_units: got 0, want 1148)",
+            "state:sql(confirmed_sale_units: got 0, want 713)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 780504.33)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
+          ],
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+          "report_sha256": "ba4e15cf735ac956bb8277b09f76180a8fa10f7af7fe33a40a841fba91839c25",
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+            "answer:orders_rejected:not_numeric",
+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned"
+    },
+    {
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+      "negative_executions": {
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+            "answer:assembly_cost:missing",
+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
+          ],
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+          "report_sha256": "39b5cd98db39c5a9b7c804a6531b98349f394e299f801923e604ce3919bc66ce",
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 468)",
+            "state:sql(confirmed_purchase_units: got 0, want 1052)",
+            "state:sql(confirmed_sale_units: got 0, want 750)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 1437841.98)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
+          ],
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+          "report_sha256": "31975301a434670e2e8d2ead7e1570be3eec6577958ea3501cd263b17172ba5d",
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+            "answer:orders_accepted:not_numeric",
+            "answer:orders_rejected:not_numeric",
+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
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+            "answer:assembly_cost:missing",
+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "6a6ccb2f4fd72e306ac4f7664cbaff741ade2f6cbba78752600a64c972e72fdf",
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 546)",
+            "state:sql(confirmed_purchase_units: got 0, want 1232)",
+            "state:sql(confirmed_sale_units: got 0, want 621)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 970240.38)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
+          ],
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+          "report_sha256": "7f32772d86271249b4118002517a716e9b5b7752760d9768ccf0742c1bc56354",
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+            "answer:orders_accepted:not_numeric",
+            "answer:orders_rejected:not_numeric",
+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned"
+    },
+    {
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+      "negative_executions": {
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "trace:no_reads_before_submit"
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+            "answer:orders_accepted:missing",
+            "answer:orders_rejected:missing",
+            "answer:units_manufactured:missing",
+            "answer:units_purchased:missing",
+            "state:sql(confirmed_manufacture_units: got 0, want 636)",
+            "state:sql(confirmed_purchase_units: got 0, want 1009)",
+            "state:sql(confirmed_sale_units: got 0, want 713)",
+            "state:sql(purchase_spend_matches_optimal: got 0, want 670485.44)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['odoo'])"
+          ],
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+            "answer:units_manufactured:not_numeric",
+            "answer:units_purchased:not_numeric"
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+      "task_id": "lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned"
+    },
+    {
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+      "negative_executions": {
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+            "answer:nonaccountable_amount:missing",
+            "answer:perdiem_due:missing",
+            "answer:reimbursable_total:missing",
+            "answer:structural_exception_line:missing",
+            "answer:structural_exception_reason:missing",
+            "trace:no_reads_before_submit"
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+            "answer:perdiem_due:missing",
+            "answer:reimbursable_total:missing",
+            "answer:structural_exception_line:missing",
+            "answer:structural_exception_reason:missing",
+            "trace:min_calls(docs<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['sheets', 'docs', 'email'])"
+          ],
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+            "answer:reimbursable_total:not_numeric",
+            "answer:structural_exception_line:missing_terms(['EXP-2058'])",
+            "answer:structural_exception_reason:missing_terms(['60'])"
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+            "answer:violating_report_ids:missing",
+            "answer:violation_count:missing",
+            "answer:worst_violation_rule:missing",
+            "trace:no_reads_before_submit"
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+            "answer:violating_report_ids:missing",
+            "answer:violation_count:missing",
+            "answer:worst_violation_rule:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['sheets', 'docs'])"
+          ],
+          "passed": false,
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+            "answer:violating_report_ids:missing_terms(['EXP-1042', 'EXP-1047', 'EXP-1051'])",
+            "answer:violation_count:not_numeric",
+            "answer:worst_violation_rule:missing_terms(['business class'])"
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+      "task_id": "lgr100-058-te-sample-feb"
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+            "answer:violating_report_ids:missing",
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+            "answer:worst_violation_rule:missing",
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+            "answer:violation_count:missing",
+            "answer:worst_violation_rule:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['sheets', 'docs'])"
+          ],
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+            "answer:worst_violation_rule:missing_terms(['business class'])"
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+      "task_id": "lgr100-059-te-sample-feb-esc-burie-quiet"
+    },
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+            "answer:detector_triggered:missing",
+            "answer:shaving_claim_count:missing",
+            "answer:shaving_employee:missing",
+            "answer:shaving_total:missing",
+            "trace:no_reads_before_submit"
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+            "answer:service_days:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "6651f02d12047667a0c25fe224591b9e083c6a3fd9c2c020c2f00b25c032771a",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:accrual_amount:missing",
+            "answer:journal_id:missing",
+            "answer:journal_state:missing",
+            "answer:next_step:missing",
+            "answer:service_days:missing",
+            "state:sql(accrual_amount_rederived: got None, want 83835.62)",
+            "state:sql(accrual_line_account: got none, want 210100)",
+            "state:sql(approval_pending: got none, want pending)",
+            "state:sql(expense_line_account: got none, want 600200)",
+            "state:sql(journal_balances: got None, want 0.0)",
+            "state:sql(journal_staged_not_posted: got none, want draft)",
+            "state:sql(no_extra_journals: got 0, want 1)",
+            "state:sql(posted_to_february: got none, want 2026-02)",
+            "trace:min_calls(docs<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "d8f27329c0d6ed45a1d2f8ebbf0ee432bfeb9c0f05c487baf7ec68b13b804d6a",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "f1d5dbed3e1736d24bbb498f138a2441ffcfaac9aeb6fb7a024a0125fef01c0a",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:accrual_amount:not_numeric",
+            "answer:journal_id:missing_terms(['GJ-00001'])",
+            "answer:journal_state:missing_terms(['draft'])",
+            "answer:next_step:missing_terms(['approv'])",
+            "answer:service_days:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "1e318a4f18f2a4ed080d2064ab737e11493a9e4ddc4de0af46e54d854566c528",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "27ce22575de459eef47896d9d4858c9ee2973846b979f5cc676b46791367b3d6",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 10,
+      "second_oracle_report_sha256": "27ce22575de459eef47896d9d4858c9ee2973846b979f5cc676b46791367b3d6",
+      "task_id": "lgr100-078-feb-saas-accrual"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:accrual_amount:missing",
+            "answer:journal_id:missing",
+            "answer:journal_state:missing",
+            "answer:next_step:missing",
+            "answer:service_days:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "728e7ce8076b800c22231ff77db80ada3e0733239fe15d6921c30a88e8cda55f",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:accrual_amount:missing",
+            "answer:journal_id:missing",
+            "answer:journal_state:missing",
+            "answer:next_step:missing",
+            "answer:service_days:missing",
+            "state:sql(accrual_amount_rederived: got None, want 83835.62)",
+            "state:sql(accrual_line_account: got none, want 210100)",
+            "state:sql(approval_pending: got none, want pending)",
+            "state:sql(expense_line_account: got none, want 600200)",
+            "state:sql(journal_balances: got None, want 0.0)",
+            "state:sql(journal_staged_not_posted: got none, want draft)",
+            "state:sql(no_extra_journals: got 0, want 1)",
+            "state:sql(posted_to_february: got none, want 2026-02)",
+            "trace:min_calls(docs<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "a671320f4c600c8b7d3c171a487749bbabaf5416ce9b4a97217d820ecc746dd1",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "d2f81c43cde5cf390876d08e4fe188b6a0e9a91e2c0d14d3b880cdafc447771b",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:accrual_amount:not_numeric",
+            "answer:journal_id:missing_terms(['GJ-00001'])",
+            "answer:journal_state:missing_terms(['draft'])",
+            "answer:next_step:missing_terms(['approv'])",
+            "answer:service_days:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "b12e00f66478ec2cf3572428f29ee2eb327505163f8e3b20827c6a07c15cbc22",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "c11e7d8bb504910e50ee95d7ab54d06483339b7e06f9dba5a5af375dccd4dd67",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 10,
+      "second_oracle_report_sha256": "c11e7d8bb504910e50ee95d7ab54d06483339b7e06f9dba5a5af375dccd4dd67",
+      "task_id": "lgr100-079-feb-saas-accrual-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:discount_captured:missing",
+            "answer:excluded_invoice:missing",
+            "answer:exclusion_reason:missing",
+            "answer:net_payment_total:missing",
+            "answer:proposal_invoices:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "858b15ffebb29084ccf2efb29f4340f6efab80daf85e7949b610a268e1ddfa53",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:discount_captured:missing",
+            "answer:excluded_invoice:missing",
+            "answer:exclusion_reason:missing",
+            "answer:net_payment_total:missing",
+            "answer:proposal_invoices:missing",
+            "trace:min_calls(erp<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "f9d0c3f6547a46564583fa362e9eb93dfa4b87565a72f13e98dcc6e8dbce8815",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "b0c1e8af7d3b3401113e06e16692b3895ee0f4d8a71b6a20d0a298dfbd593175",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:discount_captured:not_numeric",
+            "answer:excluded_invoice:missing_terms(['PPINV-104'])",
+            "answer:exclusion_reason:missing_terms(['hold'])",
+            "answer:net_payment_total:not_numeric",
+            "answer:proposal_invoices:missing_terms(['PPINV-101', 'PPINV-102', 'PPINV-103'])"
+          ],
+          "passed": false,
+          "report_sha256": "d4df972706b7338a9c9ea5e52cc2dd781a9e7e02be3a3f6f22757b961e0b43b9",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "f7a5df81963e23faee83cd97660c9f4f0bd1a1fb5d47a09e005cd42b2eb1bb43",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 7,
+      "second_oracle_report_sha256": "f7a5df81963e23faee83cd97660c9f4f0bd1a1fb5d47a09e005cd42b2eb1bb43",
+      "task_id": "lgr100-080-friday-run-mar06"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:discount_captured:missing",
+            "answer:excluded_invoice:missing",
+            "answer:exclusion_reason:missing",
+            "answer:net_payment_total:missing",
+            "answer:proposal_invoices:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "ce087a7fc0f4c4ac77fc90a910eb19a757b169ad5e5db12992a978ed41bb22e7",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:discount_captured:missing",
+            "answer:excluded_invoice:missing",
+            "answer:exclusion_reason:missing",
+            "answer:net_payment_total:missing",
+            "answer:proposal_invoices:missing",
+            "trace:min_calls(erp<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "18fa6c2ea50ccc22ce42d9108547e63fa59c2549df46e46826d35e5831abac58",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "771a7e79f75b8f49eff72686441e80fda6b916e276aa455932033dd353ec12ae",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:discount_captured:not_numeric",
+            "answer:excluded_invoice:missing_terms(['PPINV-104'])",
+            "answer:exclusion_reason:missing_terms(['hold'])",
+            "answer:net_payment_total:not_numeric",
+            "answer:proposal_invoices:missing_terms(['PPINV-101', 'PPINV-102', 'PPINV-103'])"
+          ],
+          "passed": false,
+          "report_sha256": "2cd17f3b6a0e8aa1f42fbc481c8629881fef80af16c61498fdf01623d0bb1435",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "64c81c0aaf22745d84da54705410b068abb13af31923537e2b921e74d2b464bb",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 7,
+      "second_oracle_report_sha256": "64c81c0aaf22745d84da54705410b068abb13af31923537e2b921e74d2b464bb",
+      "task_id": "lgr100-081-friday-run-mar06-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:paid_invoices:missing",
+            "answer:run_id:missing",
+            "answer:shortfall:missing",
+            "answer:total_paid:missing",
+            "answer:unpaid_invoices:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "dee7c8dcf0669cceaf33ba60283a12367a8034efb419391ff2492af9893c09b2",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:paid_invoices:missing",
+            "answer:run_id:missing",
+            "answer:shortfall:missing",
+            "answer:total_paid:missing",
+            "answer:unpaid_invoices:missing",
+            "state:sql(cash_deferrals: got none, want pinv-102,pinv-107)",
+            "state:sql(dispute_reason: got none, want disputed)",
+            "state:sql(hold_reason: got none, want vendor_on_hold)",
+            "state:sql(paid_set: got none, want pinv-101,pinv-105,pinv-106)",
+            "state:sql(paid_total_rederived: got None, want 187800.0)",
+            "state:sql(run_committed: got none, want committed)",
+            "trace:min_calls(erp<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs', 'email'])"
+          ],
+          "passed": false,
+          "report_sha256": "00fecf7dd5396a77cd064666ed3c4bfcc81df28331348f05099ae0f849bedae4",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "ca97e75de6c16e9a24ba425262851c9d99bfebfafaef7f2a1a6e453a21650cd2",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:paid_invoices:missing_terms(['PINV-101', 'PINV-105', 'PINV-106'])",
+            "answer:run_id:missing_terms(['PR-00001'])",
+            "answer:shortfall:not_numeric",
+            "answer:total_paid:not_numeric",
+            "answer:unpaid_invoices:missing_terms(['PINV-102', 'PINV-103', 'PINV-104', 'PINV-107'])"
+          ],
+          "passed": false,
+          "report_sha256": "c0381ef95458b80b530b120eecad4cecc5dd15c9bfb733e15bba24ee51d5f37b",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "b1f50779da4135a51fca2e9ce7e2a36b7422d61e9eb28cd4c8356606c44de0d5",
+      "oracle_servers_used": [
+        "docs",
+        "email",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 11,
+      "second_oracle_report_sha256": "b1f50779da4135a51fca2e9ce7e2a36b7422d61e9eb28cd4c8356606c44de0d5",
+      "task_id": "lgr100-082-shortfall-mar06"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:meridian_rate_pct:missing",
+            "answer:run_id:missing",
+            "answer:total_gross:missing",
+            "answer:total_paid:missing",
+            "answer:total_withheld:missing",
+            "answer:withheld_vendors:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "8866ce9e2afea9aad25fa220260bbff5d3655ed89328ff79004efb40433c638d",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:meridian_rate_pct:missing",
+            "answer:run_id:missing",
+            "answer:total_gross:missing",
+            "answer:total_paid:missing",
+            "answer:total_withheld:missing",
+            "answer:withheld_vendors:missing",
+            "state:sql(all_four_paid: got 0, want 4)",
+            "state:sql(certified_domestic_not_withheld: got None, want 0.0)",
+            "state:sql(meridian_withheld_at_statutory_rate: got None, want 12000.0)",
+            "state:sql(run_committed: got none, want committed)",
+            "state:sql(treaty_vendor_withheld_at_reduced_rate: got None, want 3000.0)",
+            "trace:min_calls(erp<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "f2c52a63c3de1146c96b2a844d35418818ef2f8053d6b89447867759084d4168",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "f3ee181c1686c117570a6e038c89a890643d40cb7012b7eee9f53629e13434ea",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:meridian_rate_pct:not_numeric",
+            "answer:run_id:missing_terms(['PR-00001'])",
+            "answer:total_gross:not_numeric",
+            "answer:total_paid:not_numeric",
+            "answer:total_withheld:not_numeric",
+            "answer:withheld_vendors:missing_terms(['WVEN-02', 'WVEN-03', 'WVEN-04'])"
+          ],
+          "passed": false,
+          "report_sha256": "3329145260fceabcf9f63be8fe35bd050bc8ac73d1c2c33285e8a90e3d6cca35",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "82a7f3e92c2a5addca1f9f2ede51ab06a99aac3c07d6571d812af6526ee8c236",
+      "oracle_servers_used": [
+        "docs",
+        "email",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 10,
+      "second_oracle_report_sha256": "82a7f3e92c2a5addca1f9f2ede51ab06a99aac3c07d6571d812af6526ee8c236",
+      "task_id": "lgr100-083-withholding-mar13"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:meridian_rate_pct:missing",
+            "answer:run_id:missing",
+            "answer:total_gross:missing",
+            "answer:total_paid:missing",
+            "answer:total_withheld:missing",
+            "answer:withheld_vendors:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "ace9d493d6c73a114b8454a973b5c7941d36e1a57631304a96a794c0641b8634",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:meridian_rate_pct:missing",
+            "answer:run_id:missing",
+            "answer:total_gross:missing",
+            "answer:total_paid:missing",
+            "answer:total_withheld:missing",
+            "answer:withheld_vendors:missing",
+            "state:sql(all_four_paid: got 0, want 4)",
+            "state:sql(certified_domestic_not_withheld: got None, want 0.0)",
+            "state:sql(meridian_withheld_at_statutory_rate: got None, want 12000.0)",
+            "state:sql(run_committed: got none, want committed)",
+            "state:sql(treaty_vendor_withheld_at_reduced_rate: got None, want 3000.0)",
+            "trace:min_calls(erp<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "2b33c7338df0aa24d88aebcb13963f4a7f2dc5a436ec37bde856d3decc153d9f",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "4ad9addf089004f2e533adc51c5406e20c0a318324fd25a3d8853d36716d3231",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:meridian_rate_pct:not_numeric",
+            "answer:run_id:missing_terms(['PR-00001'])",
+            "answer:total_gross:not_numeric",
+            "answer:total_paid:not_numeric",
+            "answer:total_withheld:not_numeric",
+            "answer:withheld_vendors:missing_terms(['WVEN-02', 'WVEN-03', 'WVEN-04'])"
+          ],
+          "passed": false,
+          "report_sha256": "7ae678f669549407a3a2304ac47c9db8ea422f1f73bc5e73d12fa9c14ede7539",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "031fa208d345218356026115af65ff9ca7cc756d259b851bbc2d77bb900adfd7",
+      "oracle_servers_used": [
+        "docs",
+        "email",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 10,
+      "second_oracle_report_sha256": "031fa208d345218356026115af65ff9ca7cc756d259b851bbc2d77bb900adfd7",
+      "task_id": "lgr100-084-withholding-mar13-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:inv201_approval_date:missing",
+            "answer:inv201_approver:missing",
+            "answer:inv201_evidence_location:missing",
+            "answer:inv202_approver:missing",
+            "answer:inv202_finding:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "66caaf75a3e0437e28a04910adb1a4898938132193bc8cd2056d3156a088e1ff",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:inv201_approval_date:missing",
+            "answer:inv201_approver:missing",
+            "answer:inv201_evidence_location:missing",
+            "answer:inv202_approver:missing",
+            "answer:inv202_finding:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'email'])"
+          ],
+          "passed": false,
+          "report_sha256": "455cb977e1531df3aca9e5b53f26f6b7256a4f947f0532d114552342486de7ab",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
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+      "oracle_report_sha256": "37f7e32002dd2be66170b0fb666f3b8d81cd3b50adfb2b7af34c6db770a3bfaa",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 5,
+      "second_oracle_report_sha256": "37f7e32002dd2be66170b0fb666f3b8d81cd3b50adfb2b7af34c6db770a3bfaa",
+      "task_id": "lgr100-093-tolerance-dialect-mar-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:red_flag:missing",
+            "answer:request_verified:missing",
+            "answer:required_next_step:missing",
+            "answer:vendor_account:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "93e0b7e1a8117f1399a25298df80740a4b6928b1f63beb269d72ef9b0966a509",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:red_flag:missing",
+            "answer:request_verified:missing",
+            "answer:required_next_step:missing",
+            "answer:vendor_account:missing",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'email', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "5cb4b632ceedc96a02ad01b7ee09fc59b7b62924d9a8c9429f32a0cf6650de3e",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "d43db2b5c12a796e451090ef2eedca760fef0bbc57d929c5ab3a9baa0e6169fd",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:red_flag:missing_terms(['domain'])",
+            "answer:request_verified:unparseable_yes_no(got=totally-wrong-answer-xyzzy)",
+            "answer:required_next_step:missing_terms(['call'])",
+            "answer:vendor_account:missing_terms(['1001'])"
+          ],
+          "passed": false,
+          "report_sha256": "4ad8a1797e3955463cab942e227eac8ba7be7be6bdd6e2ef1a88b75254fdf87b",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "54afa452e43050d282b5c84ded7f680437d6080b22528bed21516211f331eee9",
+      "oracle_servers_used": [
+        "docs",
+        "email",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "54afa452e43050d282b5c84ded7f680437d6080b22528bed21516211f331eee9",
+      "task_id": "lgr100-094-bank-change-verify"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:cutoff_date:missing",
+            "answer:dormant_count:missing",
+            "answer:dormant_vendors:missing",
+            "answer:out_of_scope_vendors:missing",
+            "answer:unused_vendors:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "aea3ccc02e28fc24a5af992f79ed004a01f0397748e80ce1ab6ae765d1ab1d64",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:cutoff_date:missing",
+            "answer:dormant_count:missing",
+            "answer:dormant_vendors:missing",
+            "answer:out_of_scope_vendors:missing",
+            "answer:unused_vendors:missing",
+            "trace:min_calls(erp<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "68ce137e47148c88160c0073f03a62e65c41446075d5d3938cc2cea902f8e059",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "845ca8bf530d3958bf3c54ec820e0b59564971a6d365688a0f3d96dff981bd43",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:cutoff_date:missing_terms(['2025-03-02'])",
+            "answer:dormant_count:not_numeric",
+            "answer:dormant_vendors:missing_terms(['DVEN-02', 'DVEN-03'])",
+            "answer:out_of_scope_vendors:missing_terms(['DVEN-06'])",
+            "answer:unused_vendors:missing_terms(['DVEN-04'])"
+          ],
+          "passed": false,
+          "report_sha256": "96249d24341bd99fc8140196d8705f9bccf9ad32098e20427a6a1e9011307d63",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "fa5ebba158aee428ab3c90c55d4048546f21b2412c0d7b131cc5761a7aca6fb0",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "fa5ebba158aee428ab3c90c55d4048546f21b2412c0d7b131cc5761a7aca6fb0",
+      "task_id": "lgr100-095-dormant-vendor-review"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:cutoff_date:missing",
+            "answer:dormant_count:missing",
+            "answer:dormant_vendors:missing",
+            "answer:out_of_scope_vendors:missing",
+            "answer:unused_vendors:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "f137fd2ae6455f98b4f531b0c0a1334660d6fe404fb48e1fc00305ea19e371e6",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:cutoff_date:missing",
+            "answer:dormant_count:missing",
+            "answer:dormant_vendors:missing",
+            "answer:out_of_scope_vendors:missing",
+            "answer:unused_vendors:missing",
+            "trace:min_calls(erp<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "54599f0caba33886461a9218f94e0681ddb63f8b1a476c29c32963591f4dc744",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "b424111f7954efc9f9a5b95f3d9ebedfca51446c3655a2e39d7753f2f70e3782",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:cutoff_date:missing_terms(['2025-03-02'])",
+            "answer:dormant_count:not_numeric",
+            "answer:dormant_vendors:missing_terms(['DVEN-02', 'DVEN-03'])",
+            "answer:out_of_scope_vendors:missing_terms(['DVEN-06'])",
+            "answer:unused_vendors:missing_terms(['DVEN-04'])"
+          ],
+          "passed": false,
+          "report_sha256": "fb0ee17e12496abbdaf6e31e454f93002bc142723c27408fc1a86fe0907a2949",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "81a7be2fb5331561e674a67656285d48430cf8de9e1e32703ddef890cd1113cf",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "81a7be2fb5331561e674a67656285d48430cf8de9e1e32703ddef890cd1113cf",
+      "task_id": "lgr100-096-dormant-vendor-review-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:cutoff_date:missing",
+            "answer:dormant_count:missing",
+            "answer:dormant_vendors:missing",
+            "answer:out_of_scope_vendors:missing",
+            "answer:unused_vendors:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "ad5c0b67107f4ba93ff1128e020dffd30ee0dd8a462f1be84adcc84ad7a71e0a",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:cutoff_date:missing",
+            "answer:dormant_count:missing",
+            "answer:dormant_vendors:missing",
+            "answer:out_of_scope_vendors:missing",
+            "answer:unused_vendors:missing",
+            "trace:min_calls(docs<3)",
+            "trace:min_calls(erp<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "a90141f010cd96d9ad43f268897d9bda2c17afc8022da49d49e29a52fd53e361",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "1e9da5f13f34f4d7129a229cfa63822111cde7eb2755ebd7c00c0edd52ee51dc",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:cutoff_date:missing_terms(['2025-03-02'])",
+            "answer:dormant_count:not_numeric",
+            "answer:dormant_vendors:missing_terms(['DVEN-02', 'DVEN-03'])",
+            "answer:out_of_scope_vendors:missing_terms(['DVEN-06'])",
+            "answer:unused_vendors:missing_terms(['DVEN-04'])"
+          ],
+          "passed": false,
+          "report_sha256": "ca5854b70862b04866f6be7fbb01ba207cdd2cf55cf42ab6036fb587c3277a52",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "507536fb193987683a21e2fbe50a8cea62dd327ffa98467fdb54e20e5733b812",
+      "oracle_servers_used": [
+        "docs",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "507536fb193987683a21e2fbe50a8cea62dd327ffa98467fdb54e20e5733b812",
+      "task_id": "lgr100-097-dormant-vendor-review-v2"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:contact_emailed:missing",
+            "answer:po_exists_in_erp:missing",
+            "answer:po_item:missing",
+            "answer:po_number:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "49fd4e227d09b7082267c96a353a840b3da2fb26ebe51dd0e6dadb1d664ff602",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:contact_emailed:missing",
+            "answer:po_exists_in_erp:missing",
+            "answer:po_item:missing",
+            "answer:po_number:missing",
+            "state:row_count(agent_sent_mail: got 0, want 1)",
+            "state:row_count(mailed_the_vendor_on_file: got 0, want 1)",
+            "state:row_count(vendor_replied: got 0, want 1)",
+            "trace:min_calls(email<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'email'])"
+          ],
+          "passed": false,
+          "report_sha256": "59804b3b491984327847048300dbb0b08489594d70ef79e3b2167730ad9d68de",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "a3e28324014ef864c84598a40d9af82f5541c7c787c11f80c1fcb46c478e7523",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:contact_emailed:missing_terms(['wingtip'])",
+            "answer:po_exists_in_erp:unparseable_yes_no(got=totally-wrong-answer-xyzzy)",
+            "answer:po_item:missing_terms(['PKG-LABEL-ROLL'])",
+            "answer:po_number:missing_terms(['PO-7003'])"
+          ],
+          "passed": false,
+          "report_sha256": "35785fb16f11b9989945df5db9ecac36b43346c1d250ac413fed88d77ebd42f3",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "587527d4984ab8e8507820b1c79d18ada36729f1bd76081ed4291f094114ebc7",
+      "oracle_servers_used": [
+        "email",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "587527d4984ab8e8507820b1c79d18ada36729f1bd76081ed4291f094114ebc7",
+      "task_id": "lgr100-098-missing-po-inquiry"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:contact_emailed:missing",
+            "answer:po_exists_in_erp:missing",
+            "answer:po_item:missing",
+            "answer:po_number:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "c2b294a02fd36b6af10806f50e8fcaf253111f6d3406598e56e538d5ed63d158",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:contact_emailed:missing",
+            "answer:po_exists_in_erp:missing",
+            "answer:po_item:missing",
+            "answer:po_number:missing",
+            "state:row_count(agent_sent_mail: got 0, want 1)",
+            "state:row_count(mailed_the_vendor_on_file: got 0, want 1)",
+            "state:row_count(vendor_replied: got 0, want 1)",
+            "trace:min_calls(email<2)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['erp', 'email'])"
+          ],
+          "passed": false,
+          "report_sha256": "32c847132fcb5ea66affab630e8c2a8f78df07d60c62d7d8308f5cffed2a24f4",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "db67d0031b25a66b25dc4707c7060c6cccda6a32a38609c2f53570447bd6a0cf",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:contact_emailed:missing_terms(['wingtip'])",
+            "answer:po_exists_in_erp:unparseable_yes_no(got=totally-wrong-answer-xyzzy)",
+            "answer:po_item:missing_terms(['PKG-LABEL-ROLL'])",
+            "answer:po_number:missing_terms(['PO-7003'])"
+          ],
+          "passed": false,
+          "report_sha256": "588c845e46da4df084da2576e1be6814ddd7c7525995f5f81f096d53447edd0f",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "52e54e278d9db230d6dace4e4da10d229d909844a2c469bbd29b21d49672d5c8",
+      "oracle_servers_used": [
+        "email",
+        "erp",
+        "harness"
+      ],
+      "oracle_tool_calls": 6,
+      "second_oracle_report_sha256": "52e54e278d9db230d6dace4e4da10d229d909844a2c469bbd29b21d49672d5c8",
+      "task_id": "lgr100-099-missing-po-inquiry-esc-burie-quiet"
+    },
+    {
+      "deterministic_replay_match": true,
+      "negative_executions": {
+        "no_submit": {
+          "failed_checks": [
+            "answer:authorised_signatories:missing",
+            "answer:authorised_signatory_count:missing",
+            "answer:departed_signatory:missing",
+            "answer:expired_delegation:missing",
+            "answer:max_release_without_band_a:missing",
+            "answer:valid_mandate_rows:missing",
+            "trace:no_reads_before_submit"
+          ],
+          "passed": false,
+          "report_sha256": "ca547d399d71ec5a6141a9f95a487435d2a465fb08afacdcca90213b60b607d2",
+          "reward": 0.0
+        },
+        "noop": {
+          "failed_checks": [
+            "answer:authorised_signatories:missing",
+            "answer:authorised_signatory_count:missing",
+            "answer:departed_signatory:missing",
+            "answer:expired_delegation:missing",
+            "answer:max_release_without_band_a:missing",
+            "answer:valid_mandate_rows:missing",
+            "trace:min_calls(docs<2)",
+            "trace:min_calls(sheets<3)",
+            "trace:no_reads_before_submit",
+            "trace:required_servers_missing(['sheets', 'docs'])"
+          ],
+          "passed": false,
+          "report_sha256": "758c931c8b958c30b1e2f8f38c12debfd450c221bdff6acd1b34a44f30978482",
+          "reward": 0.0
+        },
+        "off_task_write": {
+          "failed_checks": [
+            "state:off_task_writes(['meta'])"
+          ],
+          "passed": false,
+          "report_sha256": "4912fec5ad42eea3f360bf2eb147574512297557e97215720098c9e66d17775e",
+          "reward": 0.0
+        },
+        "wrong_submit": {
+          "failed_checks": [
+            "answer:authorised_signatories:missing_terms(['Okonjo', 'Brekke', 'Shah', 'Achebe'])",
+            "answer:authorised_signatory_count:not_numeric",
+            "answer:departed_signatory:missing_terms(['Vasquez'])",
+            "answer:expired_delegation:missing_terms(['Larsen'])",
+            "answer:max_release_without_band_a:not_numeric",
+            "answer:valid_mandate_rows:not_numeric"
+          ],
+          "passed": false,
+          "report_sha256": "d09e77308cfd02a1d0d980a50a674de167edf490c984bf6c915dcdb0cc681419",
+          "reward": 0.0
+        }
+      },
+      "oracle_passed": true,
+      "oracle_report_sha256": "f45201db0a99d1b3581cbb2a6f43a85a4aef63df9a29c37f4e0189cf279f6299",
+      "oracle_servers_used": [
+        "docs",
+        "email",
+        "harness",
+        "sheets"
+      ],
+      "oracle_tool_calls": 9,
+      "second_oracle_report_sha256": "f45201db0a99d1b3581cbb2a6f43a85a4aef63df9a29c37f4e0189cf279f6299",
+      "task_id": "lgr100-100-tac-find-signatories"
+    }
+  ],
+  "version": "1.0.0"
+}
diff --git a/task_files/lgr100-001-duplicate-payment-mar/documents/duplicate-payment-control.md b/task_files/lgr100-001-duplicate-payment-mar/documents/duplicate-payment-control.md
new file mode 100644
index 0000000000000000000000000000000000000000..f47c97ec304ed81f5f59522eefb5334b16de9186
--- /dev/null
+++ b/task_files/lgr100-001-duplicate-payment-mar/documents/duplicate-payment-control.md
@@ -0,0 +1,39 @@
+# SOP-AP-07 — Duplicate disbursement control
+
+> Contoso Entertainment System USA · Accounts Payable · effective 2026-01-01 · v1.2
+> SIMULATION ONLY
+
+Duplicate payments are the most common avoidable loss in disbursements. Recovery after the
+fact depends on the vendor's goodwill, so the control is preventive: **no payment run is
+committed until its lines have been screened against already-settled history.**
+
+## 1. What counts as a suspected duplicate
+
+An open obligation is a suspected duplicate when it matches an **already-settled** obligation
+from the same vendor on **both**:
+
+- the same purchase-order reference, **and**
+- the same gross amount.
+
+Invoice numbers are not a reliable key. Vendors re-issue paper copies under a different
+number, and AP re-keys them; "OSINV-5521" and "5521-OPS" are the same debt.
+
+## 2. What does NOT count
+
+Matching on amount alone is not a duplicate finding. Vendors legitimately bill the same
+amount twice — recurring services, split deliveries, standard rate cards. **A different PO
+reference means a different obligation, however similar the amount.** Rejecting a valid
+invoice damages the vendor relationship and is treated as a control failure in its own right.
+
+Corroborate before rejecting: the vendor's own statement in the AP mailbox shows what they
+believe they are owed.
+
+## 3. Disposition
+
+A confirmed duplicate is rejected on the run with reason code `duplicate` and referred to the
+AP supervisor for credit. It is **not** deferred — deferring leaves it to be paid next week.
+
+## 4. Scope
+
+This screen runs on every payment proposal, whether or not cash is constrained. A fully
+fundable run is not a safe run.
diff --git a/task_files/lgr100-006-brief-caterpillar/documents/template--business-brief.md b/task_files/lgr100-006-brief-caterpillar/documents/template--business-brief.md
new file mode 100644
index 0000000000000000000000000000000000000000..f627bc4bab9e8985fbcd7a4535be4f5ebabc18d1
--- /dev/null
+++ b/task_files/lgr100-006-brief-caterpillar/documents/template--business-brief.md
@@ -0,0 +1,16 @@
+# Business Brief Template (FIN-TPL-002)
+
+> SIMULATION ONLY
+
+Required sections for a counterparty credit brief presented to the treasury committee:
+
+1. **Company overview** — what they do, scale, segment mix.
+2. **Public financial position** — key balance-sheet items with reporting period and form
+   cited (long-term debt, equity, liquidity measures).
+3. **Leverage & trend** — long-term debt-to-equity per year and the 3-year average
+   (average of the yearly ratios, not ratio of averages).
+4. **Internal relationship** — do we already trade with them? Check both customer AND
+   vendor masters in the ERP; state the account id or "none".
+5. **Risk flags & recommendation** — analyst judgment, clearly separated from cited data.
+
+Numbers must come from tool calls (ERP or filings snapshot), never from memory.
diff --git a/task_files/lgr100-007-brief-caterpillar-esc-burie-quiet/documents/template--business-brief.md b/task_files/lgr100-007-brief-caterpillar-esc-burie-quiet/documents/template--business-brief.md
new file mode 100644
index 0000000000000000000000000000000000000000..f627bc4bab9e8985fbcd7a4535be4f5ebabc18d1
--- /dev/null
+++ b/task_files/lgr100-007-brief-caterpillar-esc-burie-quiet/documents/template--business-brief.md
@@ -0,0 +1,16 @@
+# Business Brief Template (FIN-TPL-002)
+
+> SIMULATION ONLY
+
+Required sections for a counterparty credit brief presented to the treasury committee:
+
+1. **Company overview** — what they do, scale, segment mix.
+2. **Public financial position** — key balance-sheet items with reporting period and form
+   cited (long-term debt, equity, liquidity measures).
+3. **Leverage & trend** — long-term debt-to-equity per year and the 3-year average
+   (average of the yearly ratios, not ratio of averages).
+4. **Internal relationship** — do we already trade with them? Check both customer AND
+   vendor masters in the ERP; state the account id or "none".
+5. **Risk flags & recommendation** — analyst judgment, clearly separated from cited data.
+
+Numbers must come from tool calls (ERP or filings snapshot), never from memory.
diff --git a/task_files/lgr100-008-brief-caterpillar-v2/documents/policy--counterparty-credit.md b/task_files/lgr100-008-brief-caterpillar-v2/documents/policy--counterparty-credit.md
new file mode 100644
index 0000000000000000000000000000000000000000..26c5c0e8fb68f7aa4ce3b6ae97a141fcfb43b0f6
--- /dev/null
+++ b/task_files/lgr100-008-brief-caterpillar-v2/documents/policy--counterparty-credit.md
@@ -0,0 +1,22 @@
+# Counterparty Credit Policy (TRS-POL-011)
+
+> SIMULATION ONLY
+
+**Effective:** 2026-01-01 · **Owner:** Treasury · **Version:** 1.1
+
+Leverage bands for counterparty credit briefs, applied to the **long-term
+debt-to-equity ratio of the most recent completed fiscal year**:
+
+| Band | LT debt / equity | Committee treatment |
+|---|---|---|
+| conservative | below 1.0 | standard terms |
+| **moderate** | 1.0 – 3.0 inclusive | standard terms, annual review |
+| over-levered | above 3.0 | enhanced review, security required |
+
+Rules:
+1. Ratios are computed from reported 10-K figures (equity including noncontrolling
+   interests); average-of-yearly-ratios for trend, never ratio-of-averages.
+2. The classification uses the latest completed fiscal year alone; the 3-year average is
+   context, not the classifier input.
+3. Any counterparty that is also an active customer or vendor in our ERP requires a
+   relationship note in the brief.
diff --git a/task_files/lgr100-008-brief-caterpillar-v2/documents/template--business-brief.md b/task_files/lgr100-008-brief-caterpillar-v2/documents/template--business-brief.md
new file mode 100644
index 0000000000000000000000000000000000000000..f627bc4bab9e8985fbcd7a4535be4f5ebabc18d1
--- /dev/null
+++ b/task_files/lgr100-008-brief-caterpillar-v2/documents/template--business-brief.md
@@ -0,0 +1,16 @@
+# Business Brief Template (FIN-TPL-002)
+
+> SIMULATION ONLY
+
+Required sections for a counterparty credit brief presented to the treasury committee:
+
+1. **Company overview** — what they do, scale, segment mix.
+2. **Public financial position** — key balance-sheet items with reporting period and form
+   cited (long-term debt, equity, liquidity measures).
+3. **Leverage & trend** — long-term debt-to-equity per year and the 3-year average
+   (average of the yearly ratios, not ratio of averages).
+4. **Internal relationship** — do we already trade with them? Check both customer AND
+   vendor masters in the ERP; state the account id or "none".
+5. **Risk flags & recommendation** — analyst judgment, clearly separated from cited data.
+
+Numbers must come from tool calls (ERP or filings snapshot), never from memory.
diff --git a/task_files/lgr100-012-deduction-coding-mar/documents/copper-ridge-po.md b/task_files/lgr100-012-deduction-coding-mar/documents/copper-ridge-po.md
new file mode 100644
index 0000000000000000000000000000000000000000..1156864785e5b6edac369a1c64718ca81916ee11
--- /dev/null
+++ b/task_files/lgr100-012-deduction-coding-mar/documents/copper-ridge-po.md
@@ -0,0 +1,15 @@
+# Purchase Order CR-PO-8841 — Copper Ridge Retail
+
+> Customer purchase order, received 2026-01-12 · SIMULATION ONLY
+
+**Supplier:** Contoso Entertainment System USA
+**Ship to:** Copper Ridge Retail, Distribution Centre 4
+
+| Line | Item | Qty | Unit price | Extended |
+|---|---|---|---|---|
+| 1 | CES-AV-220 audio panel | 1,000 | **38.00** | 38,000.00 |
+| 2 | Freight (prepaid & added) | — | — | 2,000.00 |
+| | | | **PO total** | **40,000.00** |
+
+Pricing per the 2026 annual agreement, tier 3 (1,000+ units): **USD 38.00 per unit**.
+Any invoice presented above the tier price will be paid at the tier price pending correction.
diff --git a/task_files/lgr100-012-deduction-coding-mar/documents/deduction-policy.md b/task_files/lgr100-012-deduction-coding-mar/documents/deduction-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..3dd0bc04e743905d997cbc585cc5e2b15e472a63
--- /dev/null
+++ b/task_files/lgr100-012-deduction-coding-mar/documents/deduction-policy.md
@@ -0,0 +1,39 @@
+# SOP-AR-06 — Coding and routing customer deductions
+
+> Contoso Entertainment System USA · Accounts Receivable · effective 2026-01-01 · v3.0
+> SIMULATION ONLY
+
+A deduction is the difference between what was invoiced and what the customer paid. Every
+deduction is coded to exactly one reason and routed to the owning team. The reason-code
+taxonomy, each code's validity, owner and disposition live in the ERP entity
+`DeductionReasons` — read it, do not memorise it.
+
+## 1. Code from evidence, never from the remittance narrative
+
+The reason a customer *states* is the least reliable input we have. It is written by their AP
+clerk, often from a template, and it is frequently wrong even when the deduction itself is
+justified. Code from what the documents show: the order, the contract, the delivery evidence.
+
+Where the stated reason and the evidence disagree, the evidence governs, and the deduction is
+coded to what actually happened.
+
+## 2. Materiality
+
+Deductions **below USD 250.00** are coded `write_off_immaterial` and written off without
+investigation, **whatever reason is stated**. Chasing them costs more than they recover. This
+test is applied first, before any evidential analysis.
+
+## 3. Disposition
+
+| Validity | Consequence |
+|---|---|
+| valid claim | concede — issue a credit memo for the deduction |
+| not a valid claim | charge back to the customer and pursue through the owning team |
+
+The two totals are reported separately: conceded amount and chargeback amount. They are
+different lines in the AR bridge and must not be netted.
+
+## 4. Absence of evidence
+
+A deduction with no supporting documentation of any kind is not a claim we can assess. It is
+coded `unauthorized` and charged back. The customer may supply evidence later and reopen it.
diff --git a/task_files/lgr100-012-deduction-coding-mar/documents/sable-finch-allowance.md b/task_files/lgr100-012-deduction-coding-mar/documents/sable-finch-allowance.md
new file mode 100644
index 0000000000000000000000000000000000000000..b6393a2be0a1d369dcb62124f1f8ee58a9b0a649
--- /dev/null
+++ b/task_files/lgr100-012-deduction-coding-mar/documents/sable-finch-allowance.md
@@ -0,0 +1,10 @@
+# 2026 Trade Agreement — Sable & Finch (extract)
+
+> Contract SF-TA-2026, clause 7 · effective 2026-01-01 · SIMULATION ONLY
+
+**Clause 7 — Q1 promotional allowance.** In consideration of end-cap placement during the
+Q1 promotional window, Customer is entitled to an allowance of **10% of net invoiced value**
+on qualifying shipments made between 1 January and 31 March 2026.
+
+Customer may take the allowance **at the time of payment** by deducting it from the invoice;
+no prior credit memo is required. Contoso issues a confirming credit memo on receipt.
diff --git a/task_files/lgr100-015-cesp-four-week/documents/sop--cash-forecast-assumptions.md b/task_files/lgr100-015-cesp-four-week/documents/sop--cash-forecast-assumptions.md
new file mode 100644
index 0000000000000000000000000000000000000000..1dbe987c3dbafa75260087e2f4d3c3fca96b2996
--- /dev/null
+++ b/task_files/lgr100-015-cesp-four-week/documents/sop--cash-forecast-assumptions.md
@@ -0,0 +1,16 @@
+# Cash Forecast Assumptions (TRS-SOP-004)
+
+> SIMULATION ONLY
+
+**Owner:** Treasury · **Version:** 1.0 · **Effective:** 2026-01-01
+
+Direct-method weekly forecast, weeks run Monday–Sunday.
+
+1. **Receipts:** open customer invoices are collected in the week of their due date
+   (no earlier, no later). Ignore invoices already past due at the forecast start unless
+   they fall inside the forecast window.
+2. **Disbursements:** open vendor invoices are paid in the week of their due date.
+3. **Payroll:** funded on the calendar dates in the payroll calendar (people.ops file on
+   the shared drive); include only dates inside the forecast window.
+4. Net cash per week = receipts − disbursements − payroll. No opening-balance roll-in;
+   the forecast reports flows, not balances.
diff --git a/task_files/lgr100-016-cesp-four-week-esc-burie-quiet/documents/sop--cash-forecast-assumptions.md b/task_files/lgr100-016-cesp-four-week-esc-burie-quiet/documents/sop--cash-forecast-assumptions.md
new file mode 100644
index 0000000000000000000000000000000000000000..1dbe987c3dbafa75260087e2f4d3c3fca96b2996
--- /dev/null
+++ b/task_files/lgr100-016-cesp-four-week-esc-burie-quiet/documents/sop--cash-forecast-assumptions.md
@@ -0,0 +1,16 @@
+# Cash Forecast Assumptions (TRS-SOP-004)
+
+> SIMULATION ONLY
+
+**Owner:** Treasury · **Version:** 1.0 · **Effective:** 2026-01-01
+
+Direct-method weekly forecast, weeks run Monday–Sunday.
+
+1. **Receipts:** open customer invoices are collected in the week of their due date
+   (no earlier, no later). Ignore invoices already past due at the forecast start unless
+   they fall inside the forecast window.
+2. **Disbursements:** open vendor invoices are paid in the week of their due date.
+3. **Payroll:** funded on the calendar dates in the payroll calendar (people.ops file on
+   the shared drive); include only dates inside the forecast window.
+4. Net cash per week = receipts − disbursements − payroll. No opening-balance roll-in;
+   the forecast reports flows, not balances.
diff --git a/task_files/lgr100-017-period-lock-correction/documents/period-close-policy.md b/task_files/lgr100-017-period-lock-correction/documents/period-close-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..28ed1d87fd57f50c52be5ab15f900cf43a12b3a6
--- /dev/null
+++ b/task_files/lgr100-017-period-lock-correction/documents/period-close-policy.md
@@ -0,0 +1,36 @@
+# SOP-GL-05 — Period close and reopening
+
+> Contoso Entertainment System USA · Controllership · effective 2026-01-01 · v1.4
+> SIMULATION ONLY
+
+## 1. Period statuses
+
+| Status | Meaning |
+|---|---|
+| `open` | postings accepted |
+| `on_hold` | close in progress; only the close team's own adjusting entries, by exception |
+| `closed` | hard locked; the ERP refuses postings and no exception exists |
+
+Check `FiscalPeriods` before dating any journal. Do not infer a period's status from the
+calendar — the close calendar and the calendar month diverge routinely.
+
+## 2. Corrections to a closed period
+
+A misstatement discovered after a period is closed is **never** forced back into that period.
+Statutory reporting for a closed period has been filed; reopening it is a controller-level
+decision requiring an audit memo, and is not available to staff accountants.
+
+The correction is booked **in the earliest period that is currently `open`**, with the
+originating period named in the journal description so the audit trail connects them. Skip
+any period that is `on_hold` — an in-flight close is not a parking space for corrections.
+
+## 3. Reclassifications
+
+A coding correction moves the amount between expense accounts. It is a reclass, not a new
+expense: the debit and credit are both expense lines and the entry nets to zero P&L impact.
+Do not reverse and re-raise; book the reclass directly.
+
+## 4. Authority
+
+Reclasses below the staff-accountant delegation-of-authority threshold post directly. Above
+it, they stage for approval like any other journal.
diff --git a/task_files/lgr100-018-period-lock-correction-esc-burie-quiet/documents/period-close-policy.md b/task_files/lgr100-018-period-lock-correction-esc-burie-quiet/documents/period-close-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..28ed1d87fd57f50c52be5ab15f900cf43a12b3a6
--- /dev/null
+++ b/task_files/lgr100-018-period-lock-correction-esc-burie-quiet/documents/period-close-policy.md
@@ -0,0 +1,36 @@
+# SOP-GL-05 — Period close and reopening
+
+> Contoso Entertainment System USA · Controllership · effective 2026-01-01 · v1.4
+> SIMULATION ONLY
+
+## 1. Period statuses
+
+| Status | Meaning |
+|---|---|
+| `open` | postings accepted |
+| `on_hold` | close in progress; only the close team's own adjusting entries, by exception |
+| `closed` | hard locked; the ERP refuses postings and no exception exists |
+
+Check `FiscalPeriods` before dating any journal. Do not infer a period's status from the
+calendar — the close calendar and the calendar month diverge routinely.
+
+## 2. Corrections to a closed period
+
+A misstatement discovered after a period is closed is **never** forced back into that period.
+Statutory reporting for a closed period has been filed; reopening it is a controller-level
+decision requiring an audit memo, and is not available to staff accountants.
+
+The correction is booked **in the earliest period that is currently `open`**, with the
+originating period named in the journal description so the audit trail connects them. Skip
+any period that is `on_hold` — an in-flight close is not a parking space for corrections.
+
+## 3. Reclassifications
+
+A coding correction moves the amount between expense accounts. It is a reclass, not a new
+expense: the debit and credit are both expense lines and the entry nets to zero P&L impact.
+Do not reverse and re-raise; book the reclass directly.
+
+## 4. Authority
+
+Reclasses below the staff-accountant delegation-of-authority threshold post directly. Above
+it, they stage for approval like any other journal.
diff --git a/task_files/lgr100-019-revenue-recognition-tieout/documents/policy--revenue-recognition-tieout.md b/task_files/lgr100-019-revenue-recognition-tieout/documents/policy--revenue-recognition-tieout.md
new file mode 100644
index 0000000000000000000000000000000000000000..3ca91ef9085ac0d6631108a2335c84f18397376f
--- /dev/null
+++ b/task_files/lgr100-019-revenue-recognition-tieout/documents/policy--revenue-recognition-tieout.md
@@ -0,0 +1,57 @@
+# RAP-04 — Revenue recognition tie-out
+
+> Contoso Entertainment System USA · Revenue Accounting · effective 2026-01-01 · v2.1
+> SIMULATION ONLY
+
+Every contract in the FY26 contract register is tied out against its recognition schedule
+before the register is released to the external auditors. The tie-out has **two independent
+tests**. A contract passes only if it passes both.
+
+## 1. System of record
+
+The recognition schedule workbook is the system of record for recognised revenue. Recognised
+revenue for a contract is the **sum of that contract's schedule lines** — recompute it.
+
+The `Recognised USD (linked)` column on the contract register is a convenience formula that is
+refreshed by hand and pasted as values before each distribution. It is **not authoritative**
+and it is routinely stale. Compare `lastModifiedDateTime` on the two files before you rely on
+anything the register has cached; where they disagree, the schedule governs.
+
+## 2. Test A — amount
+
+Compare recognised revenue to the contract value. The permitted variance is **the greater of
+USD 100.00 or 0.1% of the contract value**. Variance inside that band is straight-line
+rounding drift and is not an exception.
+
+A contract whose variance falls outside the band is an **amount exception**.
+
+## 3. Test B — term alignment
+
+Run this test on **every** contract, including the ones that pass Test A. Total recognised
+revenue can tie to the cent while the revenue lands in the wrong periods, and that is the error
+the auditors ask about first.
+
+The schedule aligns to the term when both hold:
+
+- the **first** scheduled period is the calendar month of the contract start date, and
+- the **last** scheduled period is the calendar month of the contract end date.
+
+A schedule that begins before the start month, runs past the end month, or stops short of the
+end month is a **timing exception** — even where the total ties exactly. Accelerating a full
+contract value into a shortened window and trailing a period past the term end are both
+recognition errors and are reported the same way.
+
+## 4. Classification and reporting
+
+Each contract appears in at most one exception class:
+
+| Test A | Test B | Class |
+|---|---|---|
+| fail | any | amount exception |
+| pass | fail | timing exception |
+| pass | pass | clean — do not report |
+
+Amount variances are reported **by direction and never netted**: over-recognised (schedule
+exceeds contract value) and under-recognised (schedule falls short) are separate lines, because
+over-recognition is a restatement risk and under-recognition is a cut-off risk. Timing
+exceptions carry no amount variance by definition and are excluded from both totals.
diff --git a/task_files/lgr100-020-revenue-recognition-tieout-esc-burie-quiet/documents/policy--revenue-recognition-tieout.md b/task_files/lgr100-020-revenue-recognition-tieout-esc-burie-quiet/documents/policy--revenue-recognition-tieout.md
new file mode 100644
index 0000000000000000000000000000000000000000..3ca91ef9085ac0d6631108a2335c84f18397376f
--- /dev/null
+++ b/task_files/lgr100-020-revenue-recognition-tieout-esc-burie-quiet/documents/policy--revenue-recognition-tieout.md
@@ -0,0 +1,57 @@
+# RAP-04 — Revenue recognition tie-out
+
+> Contoso Entertainment System USA · Revenue Accounting · effective 2026-01-01 · v2.1
+> SIMULATION ONLY
+
+Every contract in the FY26 contract register is tied out against its recognition schedule
+before the register is released to the external auditors. The tie-out has **two independent
+tests**. A contract passes only if it passes both.
+
+## 1. System of record
+
+The recognition schedule workbook is the system of record for recognised revenue. Recognised
+revenue for a contract is the **sum of that contract's schedule lines** — recompute it.
+
+The `Recognised USD (linked)` column on the contract register is a convenience formula that is
+refreshed by hand and pasted as values before each distribution. It is **not authoritative**
+and it is routinely stale. Compare `lastModifiedDateTime` on the two files before you rely on
+anything the register has cached; where they disagree, the schedule governs.
+
+## 2. Test A — amount
+
+Compare recognised revenue to the contract value. The permitted variance is **the greater of
+USD 100.00 or 0.1% of the contract value**. Variance inside that band is straight-line
+rounding drift and is not an exception.
+
+A contract whose variance falls outside the band is an **amount exception**.
+
+## 3. Test B — term alignment
+
+Run this test on **every** contract, including the ones that pass Test A. Total recognised
+revenue can tie to the cent while the revenue lands in the wrong periods, and that is the error
+the auditors ask about first.
+
+The schedule aligns to the term when both hold:
+
+- the **first** scheduled period is the calendar month of the contract start date, and
+- the **last** scheduled period is the calendar month of the contract end date.
+
+A schedule that begins before the start month, runs past the end month, or stops short of the
+end month is a **timing exception** — even where the total ties exactly. Accelerating a full
+contract value into a shortened window and trailing a period past the term end are both
+recognition errors and are reported the same way.
+
+## 4. Classification and reporting
+
+Each contract appears in at most one exception class:
+
+| Test A | Test B | Class |
+|---|---|---|
+| fail | any | amount exception |
+| pass | fail | timing exception |
+| pass | pass | clean — do not report |
+
+Amount variances are reported **by direction and never netted**: over-recognised (schedule
+exceeds contract value) and under-recognised (schedule falls short) are separate lines, because
+over-recognition is a restatement risk and under-recognition is a cut-off risk. Timing
+exceptions carry no amount variance by definition and are excluded from both totals.
diff --git a/task_files/lgr100-021-subledger-tieout-feb/documents/sop--month-end-close-checklist.md b/task_files/lgr100-021-subledger-tieout-feb/documents/sop--month-end-close-checklist.md
new file mode 100644
index 0000000000000000000000000000000000000000..fc2c93293d092323704faa596c5e7541a5a56e9d
--- /dev/null
+++ b/task_files/lgr100-021-subledger-tieout-feb/documents/sop--month-end-close-checklist.md
@@ -0,0 +1,18 @@
+# Month-End Close Checklist (FIN-SOP-001)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 2.1 · **Effective:** 2026-01-01
+
+| # | Task | Owner | Due (business day) | Definition of done |
+|---|---|---|---|---|
+| 1 | Cash reconciliation (all accounts) | Robin Vale | BD+2 | Bank statement ties to GL cash |
+| 2 | **AR subledger tie-out** | Jordan Blake | BD+3 | Open AR per ERP = workbook = GL 130100 |
+| 3 | **AP subledger tie-out** | Jordan Blake | BD+3 | Open AP per ERP = workbook = GL 200100 |
+| 4 | Accruals & prepaids | Priya Shah | BD+4 | Schedules rolled and posted |
+| 5 | Intercompany elimination | Dana Kim | BD+4 | Parent/sub balances agree or difference explained |
+| 6 | Flux analysis & sign-off | Controller | BD+5 | Variances >5% explained in writing |
+
+Rule: a subledger line is "tied" only when the ERP balance equals the workbook balance to
+the cent. Any difference blocks close sign-off and is escalated to the task owner the same
+day.
diff --git a/task_files/lgr100-022-subledger-tieout-feb-esc-burie-quiet/documents/sop--month-end-close-checklist.md b/task_files/lgr100-022-subledger-tieout-feb-esc-burie-quiet/documents/sop--month-end-close-checklist.md
new file mode 100644
index 0000000000000000000000000000000000000000..fc2c93293d092323704faa596c5e7541a5a56e9d
--- /dev/null
+++ b/task_files/lgr100-022-subledger-tieout-feb-esc-burie-quiet/documents/sop--month-end-close-checklist.md
@@ -0,0 +1,18 @@
+# Month-End Close Checklist (FIN-SOP-001)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 2.1 · **Effective:** 2026-01-01
+
+| # | Task | Owner | Due (business day) | Definition of done |
+|---|---|---|---|---|
+| 1 | Cash reconciliation (all accounts) | Robin Vale | BD+2 | Bank statement ties to GL cash |
+| 2 | **AR subledger tie-out** | Jordan Blake | BD+3 | Open AR per ERP = workbook = GL 130100 |
+| 3 | **AP subledger tie-out** | Jordan Blake | BD+3 | Open AP per ERP = workbook = GL 200100 |
+| 4 | Accruals & prepaids | Priya Shah | BD+4 | Schedules rolled and posted |
+| 5 | Intercompany elimination | Dana Kim | BD+4 | Parent/sub balances agree or difference explained |
+| 6 | Flux analysis & sign-off | Controller | BD+5 | Variances >5% explained in writing |
+
+Rule: a subledger line is "tied" only when the ERP balance equals the workbook balance to
+the cent. Any difference blocks close sign-off and is escalated to the task owner the same
+day.
diff --git a/task_files/lgr100-023-escalate-sparrow-letter3/documents/policy--collections-dunning-runbook.md b/task_files/lgr100-023-escalate-sparrow-letter3/documents/policy--collections-dunning-runbook.md
new file mode 100644
index 0000000000000000000000000000000000000000..7f20f54fa928d371630fa5a15317d94c01456417
--- /dev/null
+++ b/task_files/lgr100-023-escalate-sparrow-letter3/documents/policy--collections-dunning-runbook.md
@@ -0,0 +1,21 @@
+# Collections & Dunning Runbook (AR-SOP-003)
+
+> SIMULATION ONLY
+
+**Effective:** 2026-01-01 · **Owner:** AR/Collections lead · **Version:** 1.0
+
+Escalation ladder (per customer, driven by the oldest unsettled invoice):
+
+| Step | Trigger | Action | Fee |
+|---|---|---|---|
+| Friendly reminder | 1–3 days past due | Soft email from analyst | — |
+| Call | ~day 14–17 past due | Phone contact, promise-to-pay logged | — |
+| **Collection letter 1** | 30+ days past due | Formal letter, posted to letter journal | $0 |
+| **Collection letter 2** | ≥14 days after letter 1, still unpaid | Second letter | $25 |
+| **Collection letter 3** | ≥14 days after letter 2, still unpaid | Final notice + credit hold review | $40 |
+| Credit hold + demand | ~75 days past due | Orders blocked, demand letter | — |
+| Agency referral | 90+ days past due | External collections | — |
+
+Notes: a customer's current dunning level is the highest letter issued and not reset;
+levels reset only when the account returns to fully current. Payments received are applied
+to the oldest open invoice first unless remittance advice says otherwise.
diff --git a/task_files/lgr100-034-cash-disc-fourthcoffee-east/documents/policy--cash-discount-capture.md b/task_files/lgr100-034-cash-disc-fourthcoffee-east/documents/policy--cash-discount-capture.md
new file mode 100644
index 0000000000000000000000000000000000000000..1c3252d9aa3d68b1f3c430c7488a940683ded3a1
--- /dev/null
+++ b/task_files/lgr100-034-cash-disc-fourthcoffee-east/documents/policy--cash-discount-capture.md
@@ -0,0 +1,16 @@
+# Cash Discount Capture Policy (AP-POL-007)
+
+> SIMULATION ONLY
+
+**Effective:** 2026-01-01 · **Owner:** AP Manager · **Version:** 1.0
+
+1. Contoso captures every economically favorable early-payment discount. A 2/10 net 30
+   discount is worth ~36% annualized and is always taken when cash permits.
+2. The discount window runs from the **invoice date** for the number of days on the
+   vendor's cash-discount code (e.g., `2%10N30` = 2% if paid within 10 days of invoice
+   date, full amount due in 30 days).
+3. An invoice "qualifies today" when: it is posted and unsettled, carries a cash-discount
+   code, and today ≤ invoice date + discount days.
+4. Discount value = discount % × open invoice amount. Report and take discounts at payment
+   proposal time; the discount taken posts to the settlement record (`cash_disc_taken`).
+5. Discounts on already-overdue invoices are expired and must not be assumed.
diff --git a/task_files/lgr100-034-cash-disc-fourthcoffee-east/inputs/statement-fourthcoffee-east-2026-02.csv b/task_files/lgr100-034-cash-disc-fourthcoffee-east/inputs/statement-fourthcoffee-east-2026-02.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9f991539c99917514c60cd8a980517d2f10cc137
--- /dev/null
+++ b/task_files/lgr100-034-cash-disc-fourthcoffee-east/inputs/statement-fourthcoffee-east-2026-02.csv
@@ -0,0 +1,8 @@
+Fourth Coffee East - Statement of Account,,,,,
+Statement date:,2026-02-28,,Account:,CONTOSO-USMF,
+Invoice,Invoice date,Terms,Amount,Open,Notes
+VINV-900001,2026-02-25,2/10 net 30,12480.00,12480.00,Espresso equipment order
+VINV-900002,2026-02-28,2/10 net 30,9375.50,9375.50,February beans supply
+VINV-000219,2026-02-04,due on receipt,35053.39,35053.39,Standing supply agreement
+,,,,,
+Remit within discount window to capture 2% early-payment discount.,,,,,
diff --git a/task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/documents/policy--cash-discount-capture.md b/task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/documents/policy--cash-discount-capture.md
new file mode 100644
index 0000000000000000000000000000000000000000..1c3252d9aa3d68b1f3c430c7488a940683ded3a1
--- /dev/null
+++ b/task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/documents/policy--cash-discount-capture.md
@@ -0,0 +1,16 @@
+# Cash Discount Capture Policy (AP-POL-007)
+
+> SIMULATION ONLY
+
+**Effective:** 2026-01-01 · **Owner:** AP Manager · **Version:** 1.0
+
+1. Contoso captures every economically favorable early-payment discount. A 2/10 net 30
+   discount is worth ~36% annualized and is always taken when cash permits.
+2. The discount window runs from the **invoice date** for the number of days on the
+   vendor's cash-discount code (e.g., `2%10N30` = 2% if paid within 10 days of invoice
+   date, full amount due in 30 days).
+3. An invoice "qualifies today" when: it is posted and unsettled, carries a cash-discount
+   code, and today ≤ invoice date + discount days.
+4. Discount value = discount % × open invoice amount. Report and take discounts at payment
+   proposal time; the discount taken posts to the settlement record (`cash_disc_taken`).
+5. Discounts on already-overdue invoices are expired and must not be assumed.
diff --git a/task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/inputs/statement-fourthcoffee-east-2026-02.csv b/task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/inputs/statement-fourthcoffee-east-2026-02.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9f991539c99917514c60cd8a980517d2f10cc137
--- /dev/null
+++ b/task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/inputs/statement-fourthcoffee-east-2026-02.csv
@@ -0,0 +1,8 @@
+Fourth Coffee East - Statement of Account,,,,,
+Statement date:,2026-02-28,,Account:,CONTOSO-USMF,
+Invoice,Invoice date,Terms,Amount,Open,Notes
+VINV-900001,2026-02-25,2/10 net 30,12480.00,12480.00,Espresso equipment order
+VINV-900002,2026-02-28,2/10 net 30,9375.50,9375.50,February beans supply
+VINV-000219,2026-02-04,due on receipt,35053.39,35053.39,Standing supply agreement
+,,,,,
+Remit within discount window to capture 2% early-payment discount.,,,,,
diff --git a/task_files/lgr100-036-collections-sparrow/documents/policy--collections-dunning-runbook.md b/task_files/lgr100-036-collections-sparrow/documents/policy--collections-dunning-runbook.md
new file mode 100644
index 0000000000000000000000000000000000000000..7f20f54fa928d371630fa5a15317d94c01456417
--- /dev/null
+++ b/task_files/lgr100-036-collections-sparrow/documents/policy--collections-dunning-runbook.md
@@ -0,0 +1,21 @@
+# Collections & Dunning Runbook (AR-SOP-003)
+
+> SIMULATION ONLY
+
+**Effective:** 2026-01-01 · **Owner:** AR/Collections lead · **Version:** 1.0
+
+Escalation ladder (per customer, driven by the oldest unsettled invoice):
+
+| Step | Trigger | Action | Fee |
+|---|---|---|---|
+| Friendly reminder | 1–3 days past due | Soft email from analyst | — |
+| Call | ~day 14–17 past due | Phone contact, promise-to-pay logged | — |
+| **Collection letter 1** | 30+ days past due | Formal letter, posted to letter journal | $0 |
+| **Collection letter 2** | ≥14 days after letter 1, still unpaid | Second letter | $25 |
+| **Collection letter 3** | ≥14 days after letter 2, still unpaid | Final notice + credit hold review | $40 |
+| Credit hold + demand | ~75 days past due | Orders blocked, demand letter | — |
+| Agency referral | 90+ days past due | External collections | — |
+
+Notes: a customer's current dunning level is the highest letter issued and not reset;
+levels reset only when the account returns to fully current. Payments received are applied
+to the oldest open invoice first unless remittance advice says otherwise.
diff --git a/task_files/lgr100-037-collections-sparrow-esc-burie-quiet/documents/policy--collections-dunning-runbook.md b/task_files/lgr100-037-collections-sparrow-esc-burie-quiet/documents/policy--collections-dunning-runbook.md
new file mode 100644
index 0000000000000000000000000000000000000000..7f20f54fa928d371630fa5a15317d94c01456417
--- /dev/null
+++ b/task_files/lgr100-037-collections-sparrow-esc-burie-quiet/documents/policy--collections-dunning-runbook.md
@@ -0,0 +1,21 @@
+# Collections & Dunning Runbook (AR-SOP-003)
+
+> SIMULATION ONLY
+
+**Effective:** 2026-01-01 · **Owner:** AR/Collections lead · **Version:** 1.0
+
+Escalation ladder (per customer, driven by the oldest unsettled invoice):
+
+| Step | Trigger | Action | Fee |
+|---|---|---|---|
+| Friendly reminder | 1–3 days past due | Soft email from analyst | — |
+| Call | ~day 14–17 past due | Phone contact, promise-to-pay logged | — |
+| **Collection letter 1** | 30+ days past due | Formal letter, posted to letter journal | $0 |
+| **Collection letter 2** | ≥14 days after letter 1, still unpaid | Second letter | $25 |
+| **Collection letter 3** | ≥14 days after letter 2, still unpaid | Final notice + credit hold review | $40 |
+| Credit hold + demand | ~75 days past due | Orders blocked, demand letter | — |
+| Agency referral | 90+ days past due | External collections | — |
+
+Notes: a customer's current dunning level is the highest letter issued and not reset;
+levels reset only when the account returns to fully current. Payments received are applied
+to the oldest open invoice first unless remittance advice says otherwise.
diff --git a/task_files/lgr100-057-policy-validation-feb/documents/policy--travel-perdiem-and-substantiation.md b/task_files/lgr100-057-policy-validation-feb/documents/policy--travel-perdiem-and-substantiation.md
new file mode 100644
index 0000000000000000000000000000000000000000..612e32baba03f5bbbda63d809453bcbd314814a2
--- /dev/null
+++ b/task_files/lgr100-057-policy-validation-feb/documents/policy--travel-perdiem-and-substantiation.md
@@ -0,0 +1,87 @@
+# Travel Per Diem & Substantiation Policy (FIN-POL-022)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 2.0 · **Effective:** 2026-01-01
+**Supersedes:** the meal-cap provisions of FIN-POL-020 for overnight and out-of-town travel.
+
+Contoso reimburses travel under an **accountable plan**. Meals on travel are reimbursed on a
+**per diem** basis (meals & incidental expenses, "M&IE"); everything else is reimbursed at
+actuals with a receipt. Rates and the per-meal breakdown are in the companion reference sheet
+**GSA M&IE Rate Table (FIN-REF-022A)** — always price a claim off that table, never off the
+amount the traveller typed in.
+
+## 1. Which locality rate applies
+
+Per diem follows **the location of the work activities, not the location of the
+accommodations**. A traveller who works in one city and sleeps in a cheaper neighbouring city
+is paid at the **work city's** rate. The lodging city's rate may be used only where lodging was
+unavailable at the work location and Finance authorised the substitution in advance; no such
+authorisation is on file for any February 2026 trip.
+
+## 2. First and last day of travel
+
+The first and last day of a trip are paid at **75% of the destination's full daily M&IE rate**,
+whatever hour the traveller left or returned. Do not prorate those days any further by hours.
+Full days between the first and last day are paid at 100%.
+
+## 3. One-day travel
+
+Travel away from the official station that does **not** include an overnight stay earns M&IE
+**only if the traveller was away for more than 12 hours**, and then at 75% of the rate. A
+same-day trip of 12 hours or less earns **no M&IE at all**, and no meal receipts from that trip
+are reimbursable either — per diem is the only meal mechanism on travel.
+
+## 4. Provided meals
+
+Where a meal is **furnished to the traveller by the host organisation** — a working meal, or a
+meal included in a conference or training registration fee — deduct that meal's component
+amount (breakfast / lunch / dinner) from that day's per diem, using the breakdown in FIN-REF-022A.
+
+Two exceptions, both frequent sources of wrong deductions:
+
+- **Meals provided by a common carrier** (an airline or rail meal) do **not** reduce per diem.
+- **Complimentary breakfast provided by a hotel or motel** does **not** reduce per diem, whether
+  or not it is bundled into the room rate.
+
+## 5. Incidental expenses
+
+"Incidentals" in the M&IE rate means **fees and tips to porters, baggage carriers, hotel staff
+and staff on ships** — that is the whole definition. An item coded to Incidentals that falls
+outside that list (connectivity charges, parking, printing) is **reclassified, not disallowed**:
+if it is an otherwise substantiated business expense with a receipt, it is reimbursed at actuals
+under the correct category.
+
+## 6. Receipts and caps (unchanged from FIN-POL-020)
+
+- Receipt required for any single line **over $25**. Per diem lines carry no receipt by design.
+- Lodging at actuals up to **$350 per night** in the continental US.
+- Airfare: economy is the standard; business class needs written VP pre-approval on the claim.
+- Ground transport at actuals; ride-share, taxi and rail all acceptable.
+
+## 7. Substantiation deadline — the accountable-plan clock
+
+An expense must be **substantiated to Finance within 60 days** of the date it was paid or
+incurred (fixed-date safe harbour). Advances must be issued no more than 30 days before the
+expense, and any excess advance returned within 120 days.
+
+An expense that is otherwise perfectly compliant — correct category, receipt attached, under
+cap, business purpose stated — but that is **first submitted more than 60 days after it was
+incurred** falls **outside the accountable plan**. It is not rejected and the employee is not
+asked to repay anything. It is **paid through payroll as nonaccountable-plan compensation**:
+included in gross income, reported as **W-2 wages**, and subject to income and employment tax
+withholding no later than the first payroll period after the end of the reasonable period.
+
+That means a February reimbursement file has **two** totals, and they must not be netted:
+
+1. the **accountable-plan reimbursement** AP pays out tax-free, and
+2. the **nonaccountable amount** handed to Payroll to gross up and report on the W-2.
+
+A per-line policy test will never surface a line in bucket (2) — every dollar limit on it
+passes. Only the date arithmetic surfaces it.
+
+## 8. Method
+
+Reprice every travel claim from FIN-REF-022A rather than accepting the claimed figure, then
+test each line for category, receipt, cap and the 60-day clock. Report the two totals separately
+and name any line that passes every per-line limit yet still cannot be paid tax-free.
diff --git a/task_files/lgr100-057-policy-validation-feb/documents/reference--gsa-mie-rate-table.md b/task_files/lgr100-057-policy-validation-feb/documents/reference--gsa-mie-rate-table.md
new file mode 100644
index 0000000000000000000000000000000000000000..8aae7a4736f3880d2b52ee62d9b9eff7bb4f2674
--- /dev/null
+++ b/task_files/lgr100-057-policy-validation-feb/documents/reference--gsa-mie-rate-table.md
@@ -0,0 +1,40 @@
+# GSA M&IE Rate Table (FIN-REF-022A)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 1.0 · **Effective:** 2026-01-01
+Companion reference to **FIN-POL-022**. Adopted unchanged from the federal CONUS M&IE
+breakdown; the company does not maintain its own meal rates.
+
+## CONUS M&IE breakdown
+
+| M&IE total | Breakfast | Lunch | Dinner | Incidentals | First & last day of travel |
+|---|---|---|---|---|---|
+| $68 | $16 | $19 | $28 | $5 | $51.00 |
+| $74 | $18 | $20 | $31 | $5 | $55.50 |
+| $80 | $20 | $22 | $33 | $5 | $60.00 |
+| $86 | $22 | $23 | $36 | $5 | $64.50 |
+| $92 | $23 | $26 | $38 | $5 | $69.00 |
+
+Notes on the table:
+
+- Breakfast + lunch + dinner + $5 incidentals **sum exactly to the M&IE total** in every row,
+  so a meal deduction is exactly checkable.
+- **Incidentals are a flat $5 in every tier** — the incidental component does not scale with
+  locality.
+- The final column is the **75% partial-day amount** for that tier (0.75 × 68 = 51.00,
+  0.75 × 74 = 55.50, 0.75 × 80 = 60.00, 0.75 × 86 = 64.50, 0.75 × 92 = 69.00). Two of them
+  carry cents; do not round to whole dollars.
+
+## Locality assignments in use
+
+| Work location | Daily M&IE total | First / last day |
+|---|---|---|
+| San Francisco, CA | $92 | $69.00 |
+| Chicago, IL | $86 | $64.50 |
+| Denver, CO | $80 | $60.00 |
+| Oakland, CA | $74 | $55.50 |
+| Sacramento, CA | $74 | $55.50 |
+| All other CONUS destinations | $68 (standard) | $51.00 |
+
+Localities are reviewed annually; an off-cycle review must be requested by **31 December**.
diff --git a/task_files/lgr100-058-te-sample-feb/documents/policy--travel-and-expense.md b/task_files/lgr100-058-te-sample-feb/documents/policy--travel-and-expense.md
new file mode 100644
index 0000000000000000000000000000000000000000..95eccda209eb49164a955f628dad439df60409fa
--- /dev/null
+++ b/task_files/lgr100-058-te-sample-feb/documents/policy--travel-and-expense.md
@@ -0,0 +1,19 @@
+# Travel & Expense Policy (FIN-POL-020)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 3.0 · **Effective:** 2026-01-01
+
+1. **Meals** — reimbursed up to **$75 per person per day**, all categories combined.
+   Amounts above the cap are the employee's responsibility.
+2. **Airfare** — **economy class is the standard**, including transcontinental travel.
+   Business class requires **written VP pre-approval recorded on the claim**; without it
+   the fare is out of policy in full.
+3. **Receipts** — required for any single line **over $25**. Lines over the threshold with
+   no receipt attached are out of policy in full.
+4. **Lodging** — reimbursed at actuals up to $350 per night in the continental US.
+5. **Ground transport** — reimbursed at actuals; ride-share and taxi both acceptable.
+
+Audit method: test each line against every rule; a line is a violation if it breaches any
+rule. Out-of-policy amount is the full line amount for rules 2 and 3, and the excess over
+the cap for rule 1.
diff --git a/task_files/lgr100-059-te-sample-feb-esc-burie-quiet/documents/policy--travel-and-expense.md b/task_files/lgr100-059-te-sample-feb-esc-burie-quiet/documents/policy--travel-and-expense.md
new file mode 100644
index 0000000000000000000000000000000000000000..95eccda209eb49164a955f628dad439df60409fa
--- /dev/null
+++ b/task_files/lgr100-059-te-sample-feb-esc-burie-quiet/documents/policy--travel-and-expense.md
@@ -0,0 +1,19 @@
+# Travel & Expense Policy (FIN-POL-020)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 3.0 · **Effective:** 2026-01-01
+
+1. **Meals** — reimbursed up to **$75 per person per day**, all categories combined.
+   Amounts above the cap are the employee's responsibility.
+2. **Airfare** — **economy class is the standard**, including transcontinental travel.
+   Business class requires **written VP pre-approval recorded on the claim**; without it
+   the fare is out of policy in full.
+3. **Receipts** — required for any single line **over $25**. Lines over the threshold with
+   no receipt attached are out of policy in full.
+4. **Lodging** — reimbursed at actuals up to $350 per night in the continental US.
+5. **Ground transport** — reimbursed at actuals; ride-share and taxi both acceptable.
+
+Audit method: test each line against every rule; a line is a violation if it breaches any
+rule. Out-of-policy amount is the full line amount for rules 2 and 3, and the excess over
+the cap for rule 1.
diff --git a/task_files/lgr100-060-threshold-shaving-h1/documents/policy--expense-audit-detectors.md b/task_files/lgr100-060-threshold-shaving-h1/documents/policy--expense-audit-detectors.md
new file mode 100644
index 0000000000000000000000000000000000000000..2bfcbb1892d2f6b4dabf326d45d7a1f8a5e69cbc
--- /dev/null
+++ b/task_files/lgr100-060-threshold-shaving-h1/documents/policy--expense-audit-detectors.md
@@ -0,0 +1,19 @@
+# Expense Audit Detectors (FIN-POL-021)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 1.1 · **Effective:** 2026-01-01
+
+Receipts are required for any single claim **over USD 500**. Compliant-looking claims can
+still indicate avoidance behaviour, so the following pattern detectors run each period.
+
+**Threshold shaving.** Flag any employee with **more than 5 claims in the USD 450–499.99
+band within a rolling 6-month window**. Each such claim is individually within policy;
+the pattern is the finding. Report the employee, the count, and the banded total, and
+route to the Controller — do not accuse in the report, state the pattern.
+
+**Duplicate claims.** Two claims sharing Amount + Date + Currency + Expense type +
+Merchant are duplicates regardless of report id.
+
+**Split claims.** Two or more same-day claims by one employee in one category that sum to
+more than the receipt threshold.
diff --git a/task_files/lgr100-062-tac-10k-income-report/documents/policy--external-reporting-basis.md b/task_files/lgr100-062-tac-10k-income-report/documents/policy--external-reporting-basis.md
new file mode 100644
index 0000000000000000000000000000000000000000..952ee7bb2c83e0f8227296dc7f515b9d227c6c49
--- /dev/null
+++ b/task_files/lgr100-062-tac-10k-income-report/documents/policy--external-reporting-basis.md
@@ -0,0 +1,63 @@
+# FRP-02 — Basis of preparation for external-company financial summaries
+
+> Contoso Entertainment System USA · Corporate FP&A · effective 2026-01-01 · v2.1
+> SIMULATION ONLY
+
+Applies to every summary of a company outside the group that we publish internally: comp
+tables in the board pack, counterparty packs, benchmarking exhibits, diligence one-pagers.
+
+## 1. Source of record
+
+The source of record is the **audited consolidated financial statements in Item 8 of the
+company's annual report on Form 10-K**, together with the notes to those statements.
+
+Earnings releases (Item 2.02 of Form 8-K and its exhibits), investor decks, transcripts and
+company websites are **not** the source of record. They are preliminary and unaudited, they
+frequently present measures the company has defined for itself, and they are not comparable
+across companies. Where a figure appears in both an earnings release and Item 8, the Item 8
+figure governs and the release figure is discarded — including where the release's figure is
+labelled GAAP.
+
+Anything labelled *adjusted*, *core*, *underlying*, *pro forma* or *ex-items* is a non-GAAP
+measure defined by the company. Never carry one into a comp table, and never use one as the
+numerator or denominator of a ratio we compute.
+
+## 2. Net income
+
+**Net income means net income attributable to the registrant** — the line struck after
+earnings attributable to noncontrolling interests have been deducted. It is the figure the
+registrant's earnings per share is computed on.
+
+The consolidated subtotal presented above that deduction (often labelled simply *Net income*,
+and tagged `ProfitLoss` in XBRL) includes earnings the registrant does not own. It is not the
+registrant's result and does not go in the comp table.
+
+## 3. Line items and margins
+
+Capture the face of the statement of operations: total revenue, cost of revenue, gross profit,
+operating income, net income. Where the statement presents a subtotal, take the subtotal as
+presented rather than re-deriving it.
+
+Margins are computed on **total revenue as presented on the face of the statement**, from the
+GAAP line items in section 3 — never from a company-defined adjusted measure.
+
+## 4. Year-over-year comparisons
+
+Growth rates are computed **on the basis presented in the most recent filing**, using that
+filing's own comparative column for the prior year.
+
+Where a company has recast prior periods — discontinued operations, a segment change, adoption
+of a new standard — the recast comparative *is* the prior-year figure. A prior-year amount
+lifted from the superseded filing is measured on a different basis, and a growth rate that
+splices the two is not a growth rate. Read the basis-of-presentation and discontinued-operations
+notes before computing any growth line.
+
+## 5. Units
+
+Amounts are captured in **absolute US dollars**, whatever scale the face of the statement is
+presented in. Percentages are captured in percent, to two decimal places.
+
+## 6. Citation
+
+Every summary names the form the figures were taken from. A summary whose figures cannot be
+traced to a named filing is not review-ready and is sent back.
diff --git a/task_files/lgr100-073-budget-variance-feb/documents/policy--fpna-variance-review.md b/task_files/lgr100-073-budget-variance-feb/documents/policy--fpna-variance-review.md
new file mode 100644
index 0000000000000000000000000000000000000000..d8a32748c7daf15d58b7205bcc8c090af58b5ec3
--- /dev/null
+++ b/task_files/lgr100-073-budget-variance-feb/documents/policy--fpna-variance-review.md
@@ -0,0 +1,92 @@
+# FIN-FPA-04 — Opex budget variance review and exception reporting
+
+> Contoso Entertainment System USA · Financial Planning & Analysis · effective 2026-01-01 · v4.1
+> SIMULATION ONLY
+
+This policy governs the monthly exception page that FP&A takes into the operating review. It
+applies to operating expenditure only, at the department / category / month grain at which the
+FY budget is approved.
+
+## 1. Definitions
+
+Variance is measured against the **approved budget for the same department, category and
+period**:
+
+```
+Variance USD = Actual − Budget
+Variance %   = Variance USD ÷ Budget
+```
+
+For opex a **positive** variance is **unfavourable** (we spent more than we planned). A
+negative variance is favourable.
+
+## 2. The flag test — both limbs, never one
+
+An item is flagged as a significant variance only when **both** of the following hold:
+
+1. the variance exceeds **10%** of the budgeted amount for the period, **and**
+2. the variance exceeds **USD 5,000.00**.
+
+Either limb alone is not a flag. This is deliberate and it is the most common mistake made on
+this pack:
+
+- a large *percentage* on a small base is noise — a category budgeted at a few thousand a
+  month will swing double digits on a single invoice, and flagging it fills the exception page
+  with items nobody can act on;
+- a large *dollar* amount on a large base is within normal tolerance — payroll and other
+  high-value lines move by more than five thousand dollars every month without anything
+  having gone wrong.
+
+## 3. Direction
+
+Only **unfavourable** variances are flagged. Favourable variances (underspend) are covered in
+the written commentary and in the reforecast, and are **not** put on the exception page —
+however large. An underspend is a planning question, not an exception.
+
+## 4. Contractually front-loaded categories (seasonality)
+
+Some categories are budgeted evenly across the twelve months but are **not billed evenly**.
+Testing those against the month they land in produces a guaranteed false flag in the billing
+month and a guaranteed false favourable in every other month. FP&A therefore maintains a
+short list of front-loaded categories, reviewed annually with the controller.
+
+**The FY2026 front-loaded list contains exactly one category: `Facilities`.** Property
+insurance, building services and site security for both occupied sites are invoiced by the
+landlord as a **single annual instalment in January** under the master services agreement,
+while the budget phases the same cost evenly over the year.
+
+A front-loaded category is **excluded from the monthly test**. It is instead tested once, on a
+cumulative basis:
+
+```
+Front-loaded variance = (sum of actuals for all closed months of the year)
+                      − (sum of the approved budget for ALL TWELVE months of the year)
+```
+
+and the same two limbs of §2 are then applied to that figure. Note the denominator: the
+**full-year** approved budget, summed from the monthly budget rows — the phasing is not flat
+in every category, so it must be summed and not multiplied. In practice a front-loaded
+category flags only when cumulative spend has already overrun the whole year's budget, which
+is the only circumstance in which the front-loading is actually a problem.
+
+Categories that are **not** on the front-loaded list are always tested month by month, whatever
+shape their spend appears to have.
+
+## 5. Exception identifiers
+
+Every flagged item is reported as a single identifier in the form:
+
+```
+Department_Category_YYYYMM
+```
+
+using the department and category exactly as they appear in the budget workbook and the
+calendar month of the variance (for a front-loaded category tested cumulatively, the latest
+closed month). The exception page also carries the **count** of flagged items and the **total
+unfavourable variance**, being the sum of the variance USD of the flagged items only.
+
+## 6. Sources
+
+The two workbooks on the finance shared drive are the sole sources: the approved FY budget
+and the actuals extract for the closed months. Neither is restated during the review; if they
+disagree with the ledger, that is a separate reconciliation and is not resolved on this page.
diff --git a/task_files/lgr100-074-budget-variance-feb-esc-burie-quiet/documents/policy--fpna-variance-review.md b/task_files/lgr100-074-budget-variance-feb-esc-burie-quiet/documents/policy--fpna-variance-review.md
new file mode 100644
index 0000000000000000000000000000000000000000..d8a32748c7daf15d58b7205bcc8c090af58b5ec3
--- /dev/null
+++ b/task_files/lgr100-074-budget-variance-feb-esc-burie-quiet/documents/policy--fpna-variance-review.md
@@ -0,0 +1,92 @@
+# FIN-FPA-04 — Opex budget variance review and exception reporting
+
+> Contoso Entertainment System USA · Financial Planning & Analysis · effective 2026-01-01 · v4.1
+> SIMULATION ONLY
+
+This policy governs the monthly exception page that FP&A takes into the operating review. It
+applies to operating expenditure only, at the department / category / month grain at which the
+FY budget is approved.
+
+## 1. Definitions
+
+Variance is measured against the **approved budget for the same department, category and
+period**:
+
+```
+Variance USD = Actual − Budget
+Variance %   = Variance USD ÷ Budget
+```
+
+For opex a **positive** variance is **unfavourable** (we spent more than we planned). A
+negative variance is favourable.
+
+## 2. The flag test — both limbs, never one
+
+An item is flagged as a significant variance only when **both** of the following hold:
+
+1. the variance exceeds **10%** of the budgeted amount for the period, **and**
+2. the variance exceeds **USD 5,000.00**.
+
+Either limb alone is not a flag. This is deliberate and it is the most common mistake made on
+this pack:
+
+- a large *percentage* on a small base is noise — a category budgeted at a few thousand a
+  month will swing double digits on a single invoice, and flagging it fills the exception page
+  with items nobody can act on;
+- a large *dollar* amount on a large base is within normal tolerance — payroll and other
+  high-value lines move by more than five thousand dollars every month without anything
+  having gone wrong.
+
+## 3. Direction
+
+Only **unfavourable** variances are flagged. Favourable variances (underspend) are covered in
+the written commentary and in the reforecast, and are **not** put on the exception page —
+however large. An underspend is a planning question, not an exception.
+
+## 4. Contractually front-loaded categories (seasonality)
+
+Some categories are budgeted evenly across the twelve months but are **not billed evenly**.
+Testing those against the month they land in produces a guaranteed false flag in the billing
+month and a guaranteed false favourable in every other month. FP&A therefore maintains a
+short list of front-loaded categories, reviewed annually with the controller.
+
+**The FY2026 front-loaded list contains exactly one category: `Facilities`.** Property
+insurance, building services and site security for both occupied sites are invoiced by the
+landlord as a **single annual instalment in January** under the master services agreement,
+while the budget phases the same cost evenly over the year.
+
+A front-loaded category is **excluded from the monthly test**. It is instead tested once, on a
+cumulative basis:
+
+```
+Front-loaded variance = (sum of actuals for all closed months of the year)
+                      − (sum of the approved budget for ALL TWELVE months of the year)
+```
+
+and the same two limbs of §2 are then applied to that figure. Note the denominator: the
+**full-year** approved budget, summed from the monthly budget rows — the phasing is not flat
+in every category, so it must be summed and not multiplied. In practice a front-loaded
+category flags only when cumulative spend has already overrun the whole year's budget, which
+is the only circumstance in which the front-loading is actually a problem.
+
+Categories that are **not** on the front-loaded list are always tested month by month, whatever
+shape their spend appears to have.
+
+## 5. Exception identifiers
+
+Every flagged item is reported as a single identifier in the form:
+
+```
+Department_Category_YYYYMM
+```
+
+using the department and category exactly as they appear in the budget workbook and the
+calendar month of the variance (for a front-loaded category tested cumulatively, the latest
+closed month). The exception page also carries the **count** of flagged items and the **total
+unfavourable variance**, being the sum of the variance USD of the flagged items only.
+
+## 6. Sources
+
+The two workbooks on the finance shared drive are the sole sources: the approved FY budget
+and the actuals extract for the closed months. Neither is restated during the review; if they
+disagree with the ledger, that is a separate reconciliation and is not resolved on this page.
diff --git a/task_files/lgr100-075-payroll-attendance-tieout/documents/sop--payroll-register-review.md b/task_files/lgr100-075-payroll-attendance-tieout/documents/sop--payroll-register-review.md
new file mode 100644
index 0000000000000000000000000000000000000000..b8dda92d3ddf80579e8aa14d0146eb7769898ef3
--- /dev/null
+++ b/task_files/lgr100-075-payroll-attendance-tieout/documents/sop--payroll-register-review.md
@@ -0,0 +1,53 @@
+# SOP-PAY-04 — Semi-monthly payroll register review
+
+**Owner:** FP&A / Payroll Control · **Applies to:** every semi-monthly payroll register returned
+by the outsourced bureau (Ardent Payroll Services) before the pay file is released and before
+the labour accrual is booked. SIMULATION ONLY — all names, rates and figures are synthetic.
+
+## 1. Sources of record
+
+| What | Who owns it | Where |
+|---|---|---|
+| Hours | HR timekeeping | the attendance export on the finance shared drive for the period |
+| Rates | Comp & Benefits | the approved hourly rate schedule on the finance shared drive |
+| Gross pay | Ardent Payroll Services | the register the bureau returns each period |
+
+The rate column printed on the bureau's register is keyed by the bureau from its own master
+file. It is **not** authoritative. Where the register and the approved rate schedule disagree,
+the schedule governs and the difference is a variance against the bureau.
+
+## 2. Payable hours
+
+    payable hours = worked hours + paid-leave hours
+
+Leave codes **PTO**, **SICK** and **HOL** are paid leave and are payable in the period they
+fall in. **LWOP** (leave without pay) approved under the leave policy is recorded in the
+attendance export for scheduling and headcount purposes only and is **not payable**.
+
+Approved LWOP carries an approval reference of the form `LOA-YYYY-NNN` against the employee's
+line in the attendance export. A register that pays fewer hours than the attendance export
+records, solely because approved LWOP hours were excluded, is **correct** — do not raise it as
+a variance, and do not fund a correction for it.
+
+## 3. What counts as a discrepancy
+
+A line is a discrepancy when
+
+    gross pay on the register  ≠  payable hours × approved rate
+
+Both legs matter, and they fail independently. An hours-only comparison will not surface a
+rate mis-key, because the hours on such a line agree perfectly: the last two bureau errors we
+caught in 2025 were both rate mis-keys on lines where hours tied, and both ran for two periods
+before anyone noticed. Period totals are not a control either — a short-pay on one line and an
+over-pay on another can leave the hours total and the gross total looking clean.
+
+## 4. What to report
+
+For each discrepancy line, report paid versus owed and the signed variance, stated as
+
+    variance = gross paid − gross owed        (positive = we overpaid)
+
+Net the period to a single figure for the accrual, but keep overpayments and underpayments
+listed separately. Underpayments are made good on the next off-cycle run, so Payroll needs the
+employee named; overpayments are recovered from the bureau under the service agreement and are
+raised as a credit, never netted against the employee.
diff --git a/task_files/lgr100-076-payroll-attendance-tieout-esc-burie-quiet/documents/sop--payroll-register-review.md b/task_files/lgr100-076-payroll-attendance-tieout-esc-burie-quiet/documents/sop--payroll-register-review.md
new file mode 100644
index 0000000000000000000000000000000000000000..b8dda92d3ddf80579e8aa14d0146eb7769898ef3
--- /dev/null
+++ b/task_files/lgr100-076-payroll-attendance-tieout-esc-burie-quiet/documents/sop--payroll-register-review.md
@@ -0,0 +1,53 @@
+# SOP-PAY-04 — Semi-monthly payroll register review
+
+**Owner:** FP&A / Payroll Control · **Applies to:** every semi-monthly payroll register returned
+by the outsourced bureau (Ardent Payroll Services) before the pay file is released and before
+the labour accrual is booked. SIMULATION ONLY — all names, rates and figures are synthetic.
+
+## 1. Sources of record
+
+| What | Who owns it | Where |
+|---|---|---|
+| Hours | HR timekeeping | the attendance export on the finance shared drive for the period |
+| Rates | Comp & Benefits | the approved hourly rate schedule on the finance shared drive |
+| Gross pay | Ardent Payroll Services | the register the bureau returns each period |
+
+The rate column printed on the bureau's register is keyed by the bureau from its own master
+file. It is **not** authoritative. Where the register and the approved rate schedule disagree,
+the schedule governs and the difference is a variance against the bureau.
+
+## 2. Payable hours
+
+    payable hours = worked hours + paid-leave hours
+
+Leave codes **PTO**, **SICK** and **HOL** are paid leave and are payable in the period they
+fall in. **LWOP** (leave without pay) approved under the leave policy is recorded in the
+attendance export for scheduling and headcount purposes only and is **not payable**.
+
+Approved LWOP carries an approval reference of the form `LOA-YYYY-NNN` against the employee's
+line in the attendance export. A register that pays fewer hours than the attendance export
+records, solely because approved LWOP hours were excluded, is **correct** — do not raise it as
+a variance, and do not fund a correction for it.
+
+## 3. What counts as a discrepancy
+
+A line is a discrepancy when
+
+    gross pay on the register  ≠  payable hours × approved rate
+
+Both legs matter, and they fail independently. An hours-only comparison will not surface a
+rate mis-key, because the hours on such a line agree perfectly: the last two bureau errors we
+caught in 2025 were both rate mis-keys on lines where hours tied, and both ran for two periods
+before anyone noticed. Period totals are not a control either — a short-pay on one line and an
+over-pay on another can leave the hours total and the gross total looking clean.
+
+## 4. What to report
+
+For each discrepancy line, report paid versus owed and the signed variance, stated as
+
+    variance = gross paid − gross owed        (positive = we overpaid)
+
+Net the period to a single figure for the accrual, but keep overpayments and underpayments
+listed separately. Underpayments are made good on the next off-cycle run, so Payroll needs the
+employee named; overpayments are recovered from the bureau under the service agreement and are
+raised as a credit, never netted against the employee.
diff --git a/task_files/lgr100-077-rd-tax-credit-asc/documents/rd-credit-policy.md b/task_files/lgr100-077-rd-tax-credit-asc/documents/rd-credit-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..3fb4e819ca9c15910b267f0d750e913e9ba00d44
--- /dev/null
+++ b/task_files/lgr100-077-rd-tax-credit-asc/documents/rd-credit-policy.md
@@ -0,0 +1,64 @@
+# TAX-POL-11 — Federal research credit: the alternative simplified credit
+
+> Contoso Entertainment System USA · legal entity USMF · Tax · effective 2026-01-01 · v2.0
+> SIMULATION ONLY
+
+We claim the federal research credit on Form 6765 **Section B — Alternative Simplified
+Credit (ASC)**. Section A, the regular credit, is not open to us: we have never established a
+fixed-base percentage and do not hold the 1984–88 records that would let us.
+
+The workpaper is built from line detail. Cost-centre totals, provider placeholders and the
+totals row of any tab are cross-checks, never inputs.
+
+## 1. What counts as a qualified research expense (QRE)
+
+### 1.1 Wages for qualified services
+Wages paid to an employee for qualified services are a QRE in proportion to the time that
+employee spent on qualified research: **W-2 wages × the employee's project time percentage**.
+An employee counts only where the activity itself is qualified research *and* the work is
+performed within the United States.
+
+### 1.2 Supplies
+The cost of supplies used and consumed in the conduct of qualified research. Land and
+property subject to depreciation are not supplies.
+
+### 1.3 Rental or lease cost of computers
+Amounts paid to another person for the right to use computers in the conduct of qualified
+research, where the equipment sits on the provider's premises and the provider is not related
+to us.
+
+### 1.4 Contract research
+**65%** of any amount paid to a person other than an employee for qualified research carried
+out on our behalf, where we bear the economic risk of the work and retain rights in the
+results. The 65% reduction is not optional and is applied to the contract amount before the
+amount enters the QRE total.
+
+## 2. What is never a QRE
+
+- research conducted **outside the United States** — wages, supplies and contract amounts
+  alike, whoever the counterparty is and wherever it is incorporated;
+- **quality control testing** — routine or periodic testing of units already in production;
+- **market research**, market testing and promotional activity;
+- depreciation, amortisation or depletion of capital equipment;
+- patent application, prosecution and other legal costs of protecting a result.
+
+## 3. Computing the credit
+
+The ASC is **14% of the excess** of the credit year's QREs over **50% of the average QREs for
+the three tax years immediately preceding the credit year**.
+
+The base period is those three preceding tax years — no more and no fewer. History that a
+workpaper happens to carry beyond them is reference data, not base-period data, and does not
+enter the average. Arithmetically the base amount is the QREs of the three preceding tax
+years summed and divided by 6.
+
+Test one thing before computing a base at all: if we had **no** QREs in **any one** of the
+three preceding tax years, the ASC is instead **6% of the credit year's QREs**, with no base
+amount. Confirm the position for the year in the return positions memo before relying on
+either branch.
+
+## 4. Elections
+
+Whether we elect the reduced credit under section 280C is a return position taken afresh each
+year and recorded in that year's return positions memo. It is never assumed, and it is never
+carried forward from the prior year's workpaper.
diff --git a/task_files/lgr100-077-rd-tax-credit-asc/documents/tax-positions-2025.md b/task_files/lgr100-077-rd-tax-credit-asc/documents/tax-positions-2025.md
new file mode 100644
index 0000000000000000000000000000000000000000..ffa86820c325dbf302ba0744a48a73d4257e3b1c
--- /dev/null
+++ b/task_files/lgr100-077-rd-tax-credit-asc/documents/tax-positions-2025.md
@@ -0,0 +1,39 @@
+# Return positions memo — tax year ended 31 December 2025
+
+> Contoso Entertainment System USA · legal entity USMF · Tax · approved by the VP Tax
+> 2026-02-20 · SIMULATION ONLY
+
+Positions settled for the 2025 federal return. Preparers apply them as written; a preparer who
+believes a position is wrong raises it with the VP Tax rather than departing from it in the
+workpaper.
+
+## 1. Method — research credit
+
+We compute the research credit under the alternative simplified credit, Form 6765 Section B,
+per TAX-POL-11. No change from 2024.
+
+## 2. Qualified research expenses in the preceding years
+
+We had qualified research expenses in **each** of the three tax years immediately preceding
+2025. The section 41(c)(5)(B) fallback — 6% of the credit year's QREs where a preceding year
+carries none — therefore does not apply to the 2025 credit, and the ordinary 14%-over-base
+computation is the one to run.
+
+## 3. Section 280C reduced credit election
+
+We are **not** electing the reduced credit under section 280C(c)(3) for 2025. The credit is
+claimed at the full rate and the corresponding deduction is reduced instead. Section B is
+completed without the reduced-rate step, so the amount carried off Section B is the full 14%
+credit.
+
+## 4. Contract research
+
+The Belmont Applied Research engagement is a funded-research review point every year. For
+2025 the contract remains fixed-fee, we bear the economic risk of failure and we retain rights
+in the results, so the payments are contract research in our hands and are taken into the
+computation on the ordinary basis set by TAX-POL-11.
+
+## 5. State credit
+
+The state credit schedule is prepared separately after the federal number is final. Nothing in
+the state computation feeds the federal workpaper.
diff --git a/task_files/lgr100-078-feb-saas-accrual/documents/accrual-sop.md b/task_files/lgr100-078-feb-saas-accrual/documents/accrual-sop.md
new file mode 100644
index 0000000000000000000000000000000000000000..dc6de2bd751d0affc91390b1bfda4fd435813005
--- /dev/null
+++ b/task_files/lgr100-078-feb-saas-accrual/documents/accrual-sop.md
@@ -0,0 +1,44 @@
+# SOP-GL-02 — Period-end expense accruals
+
+> Contoso Entertainment System USA · Controllership · effective 2026-01-01 · v2.0
+> SIMULATION ONLY
+
+An accrual is raised when the entity has received a service in the period but no vendor
+invoice has been posted against it by the close cut-off.
+
+## 1. Before raising an accrual
+
+Confirm no vendor invoice for the service is already posted in the period. Accruing on top
+of a posted invoice double-counts the expense and will be reversed as an audit finding.
+
+## 2. Measurement basis
+
+Accruals are computed on a **365-day basis**:
+
+```
+accrual = annual contract value / 365 x days of service delivered in the period
+```
+
+rounded to the cent. Count the service days **inclusive of both the commencement date and
+the period-end date**. Do not use a monthly convention (annual / 12) — the entity's
+contracts commence mid-month too often for it to be defensible.
+
+Always measure against the contract version **in effect on the service dates**. Superseded
+versions stay in the document store for audit trail; check the effective date before using
+one.
+
+## 3. Coding
+
+| Item | Account |
+|---|---|
+| Software & subscription expense | 600200 |
+| Accrued liabilities (credit) | 210100 |
+
+Accruals post to the period in which the service was delivered, where that period is open.
+
+## 4. Authority
+
+Journals are subject to the delegation-of-authority thresholds in the ERP
+(`ApprovalPolicies`). A journal above the staff-accountant limit is **staged and submitted
+for approval — it is not posted** until the named approver has approved it. Do not report an
+accrual as booked until the ERP shows it posted.
diff --git a/task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v1-superseded.md b/task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v1-superseded.md
new file mode 100644
index 0000000000000000000000000000000000000000..64586201a3aa4439d3dd8f1c6fef63d7e5fc9f5c
--- /dev/null
+++ b/task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v1-superseded.md
@@ -0,0 +1,16 @@
+# CloudScale Analytics — Master Subscription Agreement
+
+> Contract CS-MSA-2026 · **version 1.0** · effective 2025-03-01 · **SUPERSEDED 2026-02-01 by v2.0**
+> SIMULATION ONLY
+
+**Parties.** Contoso Entertainment System USA ("Customer") and CloudScale Analytics Inc
+("Provider"), vendor account PVEN-11.
+
+**1. Subscribed services.** CloudScale Enterprise analytics platform, standard tier.
+
+**2. Annual contract value.** USD 1,500,000.00 per year.
+
+**3. Invoicing.** Annually in arrears.
+
+**4. Status.** This version is retained for audit trail only. It does not govern service
+delivered on or after 2026-02-01 — see the amended and restated agreement (v2.0).
diff --git a/task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v2.md b/task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v2.md
new file mode 100644
index 0000000000000000000000000000000000000000..b259bec6dfddff04b0d220136865b65cabf0aedf
--- /dev/null
+++ b/task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v2.md
@@ -0,0 +1,24 @@
+# CloudScale Analytics — Master Subscription Agreement (Amended & Restated)
+
+> Contract CS-MSA-2026 · **version 2.0** · **effective 2026-02-01** · supersedes v1.0
+> SIMULATION ONLY
+
+**Parties.** Contoso Entertainment System USA ("Customer") and CloudScale Analytics Inc
+("Provider"), vendor account PVEN-11.
+
+**1. Subscribed services.** Provider supplies the CloudScale Enterprise analytics platform,
+including the expanded telemetry tier added by this amendment.
+
+**2. Annual contract value.** **USD 1,800,000.00 per year**, superseding the USD 1,500,000.00
+annual value in v1.0. The uplift reflects the expanded telemetry tier and applies to all
+service delivered on and after the effective date of this amendment.
+
+**3. Service commencement.** Platform service under this amended agreement commenced on
+**12 February 2026**, the date Provider completed cutover to the expanded tier and Customer
+accepted it.
+
+**4. Invoicing.** **Annually in arrears**, invoiced on the anniversary of commencement.
+No invoice is rendered during the first contract year.
+
+**5. Term.** 36 months from commencement, renewing annually unless terminated with 90 days'
+notice.
diff --git a/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/accrual-sop.md b/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/accrual-sop.md
new file mode 100644
index 0000000000000000000000000000000000000000..dc6de2bd751d0affc91390b1bfda4fd435813005
--- /dev/null
+++ b/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/accrual-sop.md
@@ -0,0 +1,44 @@
+# SOP-GL-02 — Period-end expense accruals
+
+> Contoso Entertainment System USA · Controllership · effective 2026-01-01 · v2.0
+> SIMULATION ONLY
+
+An accrual is raised when the entity has received a service in the period but no vendor
+invoice has been posted against it by the close cut-off.
+
+## 1. Before raising an accrual
+
+Confirm no vendor invoice for the service is already posted in the period. Accruing on top
+of a posted invoice double-counts the expense and will be reversed as an audit finding.
+
+## 2. Measurement basis
+
+Accruals are computed on a **365-day basis**:
+
+```
+accrual = annual contract value / 365 x days of service delivered in the period
+```
+
+rounded to the cent. Count the service days **inclusive of both the commencement date and
+the period-end date**. Do not use a monthly convention (annual / 12) — the entity's
+contracts commence mid-month too often for it to be defensible.
+
+Always measure against the contract version **in effect on the service dates**. Superseded
+versions stay in the document store for audit trail; check the effective date before using
+one.
+
+## 3. Coding
+
+| Item | Account |
+|---|---|
+| Software & subscription expense | 600200 |
+| Accrued liabilities (credit) | 210100 |
+
+Accruals post to the period in which the service was delivered, where that period is open.
+
+## 4. Authority
+
+Journals are subject to the delegation-of-authority thresholds in the ERP
+(`ApprovalPolicies`). A journal above the staff-accountant limit is **staged and submitted
+for approval — it is not posted** until the named approver has approved it. Do not report an
+accrual as booked until the ERP shows it posted.
diff --git a/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v1-superseded.md b/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v1-superseded.md
new file mode 100644
index 0000000000000000000000000000000000000000..64586201a3aa4439d3dd8f1c6fef63d7e5fc9f5c
--- /dev/null
+++ b/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v1-superseded.md
@@ -0,0 +1,16 @@
+# CloudScale Analytics — Master Subscription Agreement
+
+> Contract CS-MSA-2026 · **version 1.0** · effective 2025-03-01 · **SUPERSEDED 2026-02-01 by v2.0**
+> SIMULATION ONLY
+
+**Parties.** Contoso Entertainment System USA ("Customer") and CloudScale Analytics Inc
+("Provider"), vendor account PVEN-11.
+
+**1. Subscribed services.** CloudScale Enterprise analytics platform, standard tier.
+
+**2. Annual contract value.** USD 1,500,000.00 per year.
+
+**3. Invoicing.** Annually in arrears.
+
+**4. Status.** This version is retained for audit trail only. It does not govern service
+delivered on or after 2026-02-01 — see the amended and restated agreement (v2.0).
diff --git a/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v2.md b/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v2.md
new file mode 100644
index 0000000000000000000000000000000000000000..b259bec6dfddff04b0d220136865b65cabf0aedf
--- /dev/null
+++ b/task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v2.md
@@ -0,0 +1,24 @@
+# CloudScale Analytics — Master Subscription Agreement (Amended & Restated)
+
+> Contract CS-MSA-2026 · **version 2.0** · **effective 2026-02-01** · supersedes v1.0
+> SIMULATION ONLY
+
+**Parties.** Contoso Entertainment System USA ("Customer") and CloudScale Analytics Inc
+("Provider"), vendor account PVEN-11.
+
+**1. Subscribed services.** Provider supplies the CloudScale Enterprise analytics platform,
+including the expanded telemetry tier added by this amendment.
+
+**2. Annual contract value.** **USD 1,800,000.00 per year**, superseding the USD 1,500,000.00
+annual value in v1.0. The uplift reflects the expanded telemetry tier and applies to all
+service delivered on and after the effective date of this amendment.
+
+**3. Service commencement.** Platform service under this amended agreement commenced on
+**12 February 2026**, the date Provider completed cutover to the expanded tier and Customer
+accepted it.
+
+**4. Invoicing.** **Annually in arrears**, invoiced on the anniversary of commencement.
+No invoice is rendered during the first contract year.
+
+**5. Term.** 36 months from commencement, renewing annually unless terminated with 90 days'
+notice.
diff --git a/task_files/lgr100-080-friday-run-mar06/documents/sop--payment-run.md b/task_files/lgr100-080-friday-run-mar06/documents/sop--payment-run.md
new file mode 100644
index 0000000000000000000000000000000000000000..dcd3b20f8e257458963a6c01f7a1ca0a4c618fae
--- /dev/null
+++ b/task_files/lgr100-080-friday-run-mar06/documents/sop--payment-run.md
@@ -0,0 +1,19 @@
+# Payment Run SOP (AP-SOP-002)
+
+> SIMULATION ONLY
+
+**Owner:** AP Manager · **Version:** 1.0 · **Effective:** 2026-01-01
+
+Weekly payment run, executed Fridays. The proposal is assembled by Monday EOD and posted
+by a human approver Thursday.
+
+Selection rules for a run with payment date **P**:
+1. Include every open vendor invoice with due date on or before **P + 3 days** (avoids
+   weekend lates).
+2. Include every open invoice whose cash-discount window is still open on **P** —
+   discounts at 2/10-net-30 economics (~36% annualized) are always taken
+   (see AP-POL-007, Cash Discount Capture).
+3. **Exclude all invoices of vendors on payment hold** — no exceptions; note them for the
+   AP manager instead.
+4. Discount value = discount % × open amount, taken at settlement; net cash out =
+   gross included amount − discounts captured.
diff --git a/task_files/lgr100-081-friday-run-mar06-esc-burie-quiet/documents/sop--payment-run.md b/task_files/lgr100-081-friday-run-mar06-esc-burie-quiet/documents/sop--payment-run.md
new file mode 100644
index 0000000000000000000000000000000000000000..dcd3b20f8e257458963a6c01f7a1ca0a4c618fae
--- /dev/null
+++ b/task_files/lgr100-081-friday-run-mar06-esc-burie-quiet/documents/sop--payment-run.md
@@ -0,0 +1,19 @@
+# Payment Run SOP (AP-SOP-002)
+
+> SIMULATION ONLY
+
+**Owner:** AP Manager · **Version:** 1.0 · **Effective:** 2026-01-01
+
+Weekly payment run, executed Fridays. The proposal is assembled by Monday EOD and posted
+by a human approver Thursday.
+
+Selection rules for a run with payment date **P**:
+1. Include every open vendor invoice with due date on or before **P + 3 days** (avoids
+   weekend lates).
+2. Include every open invoice whose cash-discount window is still open on **P** —
+   discounts at 2/10-net-30 economics (~36% annualized) are always taken
+   (see AP-POL-007, Cash Discount Capture).
+3. **Exclude all invoices of vendors on payment hold** — no exceptions; note them for the
+   AP manager instead.
+4. Discount value = discount % × open amount, taken at settlement; net cash out =
+   gross included amount − discounts captured.
diff --git a/task_files/lgr100-082-shortfall-mar06/documents/payment-run-sop.md b/task_files/lgr100-082-shortfall-mar06/documents/payment-run-sop.md
new file mode 100644
index 0000000000000000000000000000000000000000..4fba39240b2d9fc90a9827ffad8210e2a97e158c
--- /dev/null
+++ b/task_files/lgr100-082-shortfall-mar06/documents/payment-run-sop.md
@@ -0,0 +1,43 @@
+# SOP-AP-04 — Weekly vendor payment run
+
+> Contoso Entertainment System USA · Treasury · effective 2026-01-01 · v3.1
+> SIMULATION ONLY
+
+Runs are built every Friday and funded from the operating account (USMF-OPER). Runs are
+scoped to one vendor group at a time; an unscoped proposal is not reviewable and will be
+rejected by the system.
+
+## 1. Exclusions — applied before any funding decision
+
+These are not funding decisions and are never deferred to a later run for cash reasons.
+They are excluded outright, with the reason recorded on the line:
+
+1. **Vendor on credit hold.** No obligation of a vendor whose master record carries a hold
+   is paid, regardless of age or discount. Reason code `vendor_on_hold`.
+2. **Disputed invoices.** An invoice under active dispute is excluded until the dispute is
+   resolved and the resolution is documented. Disputes are raised by the business and are
+   **not** flagged in the ERP — check the AP mailbox for the current week before building
+   the run. Reason code `disputed`.
+
+## 2. Funding priority — applied to everything that survives §1
+
+Pay in this order, until available cash is exhausted:
+
+1. **Discount capture first.** Any invoice whose cash-discount window closes *before the
+   next scheduled run* is paid this week. Letting a discount lapse is a permanent loss;
+   deferring a net-terms invoice by one week is not.
+2. **Then past-due invoices**, oldest due date first.
+3. **Then everything else** by due date.
+
+## 3. What "done" means
+
+Every eligible obligation is accounted for — each one is either paid or carries a rejection
+reason. A short run is committed by **naming what goes unpaid and why**, never by quietly
+dropping obligations from the proposal. Obligations deferred purely because cash ran out
+take reason code `insufficient_cash` and are first in line next week.
+
+The paid total may not exceed available cash. Overdrafts on USMF-OPER are not authorized.
+
+## 4. Calendar
+
+Runs are executed Fridays. The run following 2026-03-06 is **2026-03-13**.
diff --git a/task_files/lgr100-083-withholding-mar13/documents/withholding-policy.md b/task_files/lgr100-083-withholding-mar13/documents/withholding-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..757027d71d40e58785f7771dcfb8d62c9575a036
--- /dev/null
+++ b/task_files/lgr100-083-withholding-mar13/documents/withholding-policy.md
@@ -0,0 +1,32 @@
+# SOP-AP-09 — Withholding on vendor payments
+
+> Contoso Entertainment System USA · Accounts Payable / Tax · effective 2026-01-01 · v1.3
+> SIMULATION ONLY
+
+Withholding is applied **at payment**, by the payment run, and is remitted to the authority
+separately. The vendor is paid net; the withheld amount is still a discharge of the debt.
+
+## 1. What decides the rate
+
+Two facts, in this order:
+
+1. the vendor's **tax category** on `VendorTaxProfile`; and
+2. whether a **valid, unexpired certificate** is on file as at the **pay date**.
+
+A valid certificate buys the declared treatment. For a treaty claim that means a **reduced**
+rate — not exemption. Without a valid certificate the punitive default applies: the
+non-resident rate for a foreign payee, backup withholding for a domestic one.
+
+**A certificate that has lapsed is not a certificate.** The record still shows one on file,
+and the vendor will often still claim the treaty rate in correspondence. Neither changes the
+position: check the expiry against the pay date, every run.
+
+## 2. Rates
+
+Read them from the `WithholdingTax` entity — rate, threshold and statutory reference are
+maintained there. Do not hard-code rates into a payment proposal.
+
+## 3. Vendor correspondence
+
+A vendor asserting a treaty rate in an email has not thereby filed a certificate.
+Documentation reaches us on the form or it has not reached us.
diff --git a/task_files/lgr100-084-withholding-mar13-esc-burie-quiet/documents/withholding-policy.md b/task_files/lgr100-084-withholding-mar13-esc-burie-quiet/documents/withholding-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..757027d71d40e58785f7771dcfb8d62c9575a036
--- /dev/null
+++ b/task_files/lgr100-084-withholding-mar13-esc-burie-quiet/documents/withholding-policy.md
@@ -0,0 +1,32 @@
+# SOP-AP-09 — Withholding on vendor payments
+
+> Contoso Entertainment System USA · Accounts Payable / Tax · effective 2026-01-01 · v1.3
+> SIMULATION ONLY
+
+Withholding is applied **at payment**, by the payment run, and is remitted to the authority
+separately. The vendor is paid net; the withheld amount is still a discharge of the debt.
+
+## 1. What decides the rate
+
+Two facts, in this order:
+
+1. the vendor's **tax category** on `VendorTaxProfile`; and
+2. whether a **valid, unexpired certificate** is on file as at the **pay date**.
+
+A valid certificate buys the declared treatment. For a treaty claim that means a **reduced**
+rate — not exemption. Without a valid certificate the punitive default applies: the
+non-resident rate for a foreign payee, backup withholding for a domestic one.
+
+**A certificate that has lapsed is not a certificate.** The record still shows one on file,
+and the vendor will often still claim the treaty rate in correspondence. Neither changes the
+position: check the expiry against the pay date, every run.
+
+## 2. Rates
+
+Read them from the `WithholdingTax` entity — rate, threshold and statutory reference are
+maintained there. Do not hard-code rates into a payment proposal.
+
+## 3. Vendor correspondence
+
+A vendor asserting a treaty rate in an email has not thereby filed a certificate.
+Documentation reaches us on the form or it has not reached us.
diff --git a/task_files/lgr100-085-approval-evidence-q1/inputs/pbc-request-03.csv b/task_files/lgr100-085-approval-evidence-q1/inputs/pbc-request-03.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5667da42502311fb55803455e78b8ae9c058f158
--- /dev/null
+++ b/task_files/lgr100-085-approval-evidence-q1/inputs/pbc-request-03.csv
@@ -0,0 +1,5 @@
+PBC Request #03 - Invoice approval evidence,,,
+Auditor:,Rowan & Field LLP (SIMULATION),,
+Item,Invoice,Vendor,Request
+1,PBINV-201,Adventure Works Cycles,"Approval evidence: approver name, date, source"
+2,PBINV-202,City Power & Light,"Approval evidence: approver name, date, source"
diff --git a/task_files/lgr100-086-approval-evidence-q1-esc-burie-quiet/inputs/pbc-request-03.csv b/task_files/lgr100-086-approval-evidence-q1-esc-burie-quiet/inputs/pbc-request-03.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5667da42502311fb55803455e78b8ae9c058f158
--- /dev/null
+++ b/task_files/lgr100-086-approval-evidence-q1-esc-burie-quiet/inputs/pbc-request-03.csv
@@ -0,0 +1,5 @@
+PBC Request #03 - Invoice approval evidence,,,
+Auditor:,Rowan & Field LLP (SIMULATION),,
+Item,Invoice,Vendor,Request
+1,PBINV-201,Adventure Works Cycles,"Approval evidence: approver name, date, source"
+2,PBINV-202,City Power & Light,"Approval evidence: approver name, date, source"
diff --git a/task_files/lgr100-087-sampling-projection-q1/documents/sop--audit-sampling-method.md b/task_files/lgr100-087-sampling-projection-q1/documents/sop--audit-sampling-method.md
new file mode 100644
index 0000000000000000000000000000000000000000..2b43fec5f1071ece02000accd39f8fec7dff387b
--- /dev/null
+++ b/task_files/lgr100-087-sampling-projection-q1/documents/sop--audit-sampling-method.md
@@ -0,0 +1,20 @@
+# Audit Sampling & Projection Method (FIN-SOP-009)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 1.0 · **Effective:** 2026-01-01
+
+When auditors report a misstatement found in a sample, we project it to the population
+before responding, so that our reply addresses the likely total, not the tested subset.
+
+**Ratio projection** (the method we use for equal-probability samples):
+
+    projected misstatement = sample misstatement x (population size / sample size)
+
+Compare the projected figure with **performance materiality**:
+- projected ≥ performance materiality → the finding is material; a correcting entry or a
+  full-population analysis is required before sign-off.
+- projected < performance materiality → record as a passed adjustment on the summary of
+  uncorrected misstatements.
+
+Never respond with the raw sample misstatement as if it were the population effect.
diff --git a/task_files/lgr100-088-sampling-projection-q1-esc-burie-quiet/documents/sop--audit-sampling-method.md b/task_files/lgr100-088-sampling-projection-q1-esc-burie-quiet/documents/sop--audit-sampling-method.md
new file mode 100644
index 0000000000000000000000000000000000000000..2b43fec5f1071ece02000accd39f8fec7dff387b
--- /dev/null
+++ b/task_files/lgr100-088-sampling-projection-q1-esc-burie-quiet/documents/sop--audit-sampling-method.md
@@ -0,0 +1,20 @@
+# Audit Sampling & Projection Method (FIN-SOP-009)
+
+> SIMULATION ONLY
+
+**Owner:** Controller · **Version:** 1.0 · **Effective:** 2026-01-01
+
+When auditors report a misstatement found in a sample, we project it to the population
+before responding, so that our reply addresses the likely total, not the tested subset.
+
+**Ratio projection** (the method we use for equal-probability samples):
+
+    projected misstatement = sample misstatement x (population size / sample size)
+
+Compare the projected figure with **performance materiality**:
+- projected ≥ performance materiality → the finding is material; a correcting entry or a
+  full-population analysis is required before sign-off.
+- projected < performance materiality → record as a passed adjustment on the summary of
+  uncorrected misstatements.
+
+Never respond with the raw sample misstatement as if it were the population effect.
diff --git a/task_files/lgr100-091-tac-invoice-matching/documents/sop--vendor-statement-reconciliation.md b/task_files/lgr100-091-tac-invoice-matching/documents/sop--vendor-statement-reconciliation.md
new file mode 100644
index 0000000000000000000000000000000000000000..03dad5ccc8380477d5fd5161b67a6a094880dfda
--- /dev/null
+++ b/task_files/lgr100-091-tac-invoice-matching/documents/sop--vendor-statement-reconciliation.md
@@ -0,0 +1,68 @@
+# SOP-AP-11 — Vendor statement reconciliation
+
+**Owner:** Accounts Payable · **Applies to:** every statement of account a vendor sends us,
+before any balance on it is agreed, paid or accrued at period end. SIMULATION ONLY — all
+vendors, invoices and figures referenced by this procedure are synthetic.
+
+## 1. The two sources
+
+| What | Whose record it is | Where |
+|---|---|---|
+| What the vendor says it billed us | the vendor | the statement of account they sent, on the finance shared drive |
+| What we actually disbursed | us | the payment register extract for that vendor and period, on the finance shared drive |
+
+Neither file's own footer total is evidence. Each is prepared by the party that owns the file
+and each is complete only in its own terms — the statement cannot see a payment we made
+against an invoice it did not list, and the register cannot see an invoice we never paid.
+**Agreeing two footers is not a reconciliation.**
+
+## 2. Remittance reference conventions
+
+The disbursements team keys one reference per payment line, in one of three forms:
+
+| Form | Example | Means |
+|---|---|---|
+| a single invoice number | `HF-2201` | this payment settles that one invoice |
+| invoice numbers separated by commas | `HF-2205,HF-2206` | one remittance covering every invoice named; the remittance is applied to each named invoice for that invoice's full statement amount |
+| an invoice number followed by `(partial n of m)` | `HF-2210 (partial 1 of 2)` | one invoice settled in instalments across separate payment runs |
+
+Instalment and combined references are **payment structure, not discrepancy**. A run that was
+split over two Fridays, or a remittance that cleared four invoices at once, is a normal
+disbursement and is not an exception.
+
+## 3. Reconcile at invoice level
+
+Reconciliation is performed **per invoice on the statement**, never per payment line:
+
+    applied to invoice = sum of every payment, or part of a payment, whose reference names it
+    variance on invoice = applied to invoice - statement amount of that invoice
+
+Aggregate the instalments of a split invoice, and attribute each invoice named in a combined
+remittance, **before** comparing anything. Comparing a payment line to the first invoice its
+reference happens to name manufactures exceptions against instalments and combined remittances
+that are perfectly in order, and — because it never looks at an invoice that no payment
+mentions — it cannot see an invoice we simply never paid, nor an invoice paid twice in full.
+Both of those are the failures this procedure exists to catch.
+
+## 4. Scope
+
+A remittance reference naming an invoice that is **not on the statement** is outside this
+statement's scope: it belongs to an earlier statement, to a credit the vendor has not carried
+forward, or to a keying error. Report the payment separately so the vendor can identify it.
+Do **not** count it in the amount applied to this statement, and do **not** net it against the
+statement variance — doing so silently reduces a balance we owe by a payment that was never
+against it.
+
+## 5. What to report
+
+1. **Exception invoices** — every invoice on the statement whose applied amount differs from
+   its statement amount, in either direction. An invoice with no payment against it at all is
+   an exception; so is an invoice whose applied amount exceeds it.
+2. **Gross overpayment** and **gross underpayment**, stated separately as positive amounts.
+   Netting them reports neither: an overpayment is cash to recover from the vendor and an
+   underpayment is a balance we owe, and the two are actioned by different people.
+3. **Net position** — the statement total less the amount applied to invoices on the
+   statement. Positive means we are behind; negative means we are ahead.
+4. Any payment whose reference falls outside the statement's scope, per section 4.
+
+Amounts are stated in USD to the cent. Round only at the point of reporting.
diff --git a/task_files/lgr100-092-tolerance-dialect-mar/documents/policy--ap-match-tolerances.md b/task_files/lgr100-092-tolerance-dialect-mar/documents/policy--ap-match-tolerances.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e5425ce87f1d8ab966ad8949d3857f62b7c7251
--- /dev/null
+++ b/task_files/lgr100-092-tolerance-dialect-mar/documents/policy--ap-match-tolerances.md
@@ -0,0 +1,21 @@
+# AP Match Tolerance Policy (AP-POL-018)
+
+> SIMULATION ONLY
+
+**Owner:** AP Manager · **Version:** 2.0 · **Effective:** 2026-01-01
+
+Contoso runs two ledgers during the migration, and they interpret a missing tolerance
+setting in **opposite** ways. This is the single most common source of wrong match
+decisions, so read carefully.
+
+| Ledger | Setting shown | What it actually means |
+|---|---|---|
+| **Legacy ledger** (PO-81xx series) | tolerance key not maintained | **ZERO tolerance** — any variance, however small, blocks the invoice |
+| **New ledger** (PO-82xx and later, and PO-8102) | tolerance limit blank | **UNLIMITED** — no upper check applies, the invoice passes on price |
+
+Notes:
+1. Never read "no value configured" as permissive without checking which ledger the
+   purchase order belongs to.
+2. Price variance = invoiced amount − (PO quantity × PO unit price).
+3. Blocked invoices are routed to the AP Manager with the variance quantified; they are
+   never auto-approved by lowering a limit.
diff --git a/task_files/lgr100-093-tolerance-dialect-mar-esc-burie-quiet/documents/policy--ap-match-tolerances.md b/task_files/lgr100-093-tolerance-dialect-mar-esc-burie-quiet/documents/policy--ap-match-tolerances.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e5425ce87f1d8ab966ad8949d3857f62b7c7251
--- /dev/null
+++ b/task_files/lgr100-093-tolerance-dialect-mar-esc-burie-quiet/documents/policy--ap-match-tolerances.md
@@ -0,0 +1,21 @@
+# AP Match Tolerance Policy (AP-POL-018)
+
+> SIMULATION ONLY
+
+**Owner:** AP Manager · **Version:** 2.0 · **Effective:** 2026-01-01
+
+Contoso runs two ledgers during the migration, and they interpret a missing tolerance
+setting in **opposite** ways. This is the single most common source of wrong match
+decisions, so read carefully.
+
+| Ledger | Setting shown | What it actually means |
+|---|---|---|
+| **Legacy ledger** (PO-81xx series) | tolerance key not maintained | **ZERO tolerance** — any variance, however small, blocks the invoice |
+| **New ledger** (PO-82xx and later, and PO-8102) | tolerance limit blank | **UNLIMITED** — no upper check applies, the invoice passes on price |
+
+Notes:
+1. Never read "no value configured" as permissive without checking which ledger the
+   purchase order belongs to.
+2. Price variance = invoiced amount − (PO quantity × PO unit price).
+3. Blocked invoices are routed to the AP Manager with the variance quantified; they are
+   never auto-approved by lowering a limit.
diff --git a/task_files/lgr100-094-bank-change-verify/documents/policy--vendor-bank-change.md b/task_files/lgr100-094-bank-change-verify/documents/policy--vendor-bank-change.md
new file mode 100644
index 0000000000000000000000000000000000000000..ec7ee28159e8c25d02f11f76006159108ba650a8
--- /dev/null
+++ b/task_files/lgr100-094-bank-change-verify/documents/policy--vendor-bank-change.md
@@ -0,0 +1,21 @@
+# Vendor Bank Detail Change Policy (AP-POL-012)
+
+> SIMULATION ONLY
+
+**Owner:** AP Manager · **Version:** 1.2 · **Effective:** 2026-01-01
+
+Business email compromise most often arrives as a bank-detail change request. No change to
+vendor banking is applied on the strength of an email, however routine it looks.
+
+Mandatory verification, all three:
+1. **Sender check** — the request must come from the vendor's contact email domain as
+   recorded on the ERP vendor master. A lookalike or newly-seen domain is an automatic
+   rejection.
+2. **Callback** — call the vendor on the phone number **already on file in the ERP**.
+   Never call a number supplied inside the request itself.
+3. **Dual approval** — AP Manager plus Controller sign-off recorded before master-data
+   maintenance opens the record.
+
+Urgency ("before your payment run", "returned payment") is a pressure tactic and is never
+grounds to shorten these steps. When verification fails, hold the vendor's payments and
+notify the AP Manager and Security.
diff --git a/task_files/lgr100-095-dormant-vendor-review/documents/vendor-hygiene-policy.md b/task_files/lgr100-095-dormant-vendor-review/documents/vendor-hygiene-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..af666c5bfb9f7273e54b6f548e1682b2910bc2bb
--- /dev/null
+++ b/task_files/lgr100-095-dormant-vendor-review/documents/vendor-hygiene-policy.md
@@ -0,0 +1,40 @@
+# SOP-AP-11 — Vendor master hygiene review
+
+> Contoso Entertainment System USA · Accounts Payable Controls · effective 2026-01-01 · v2.1
+> SIMULATION ONLY
+
+Dormant vendor records are a standing fraud exposure: the account still carries banking
+details, still passes a payment run's validity checks, and nobody is watching it. Compromise
+of a dormant record is a documented business-email-compromise pattern, because the legitimate
+counterparty is not in contact to notice.
+
+## 1. Definition of dormant
+
+A vendor is **dormant** when it satisfies all of:
+
+1. it has **at least one posted transaction** in its history — a vendor that has never
+   transacted is *not* dormant, it is **unused**, and is handled under §3; and
+2. its **most recent** posted transaction is more than **12 months** before the review date; and
+3. its master record is still **active** — a vendor already on hold has been actioned and is
+   out of scope for this review.
+
+Measure from the most recent transaction of any type, not from the most recent invoice: a
+payment or credit note is contact with the counterparty.
+
+## 2. Disposition of a dormant vendor
+
+Flag for deactivation and bank-detail purge. Reactivation requires the full onboarding
+control, including independent callback verification of banking details on the number of
+record — never a number supplied in the reactivation request.
+
+## 3. Unused vendors
+
+A vendor with no transaction history was onboarded and never used. It is a **different**
+finding with a different owner (Procurement, not AP Controls) and is reported separately.
+Do not report it as dormant — the counts feed different control metrics and conflating them
+has caused the quarterly numbers to be restated before.
+
+## 4. Cadence
+
+Reviewed quarterly against the vendor group under review. The review date is the world's
+current date.
diff --git a/task_files/lgr100-096-dormant-vendor-review-esc-burie-quiet/documents/vendor-hygiene-policy.md b/task_files/lgr100-096-dormant-vendor-review-esc-burie-quiet/documents/vendor-hygiene-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..af666c5bfb9f7273e54b6f548e1682b2910bc2bb
--- /dev/null
+++ b/task_files/lgr100-096-dormant-vendor-review-esc-burie-quiet/documents/vendor-hygiene-policy.md
@@ -0,0 +1,40 @@
+# SOP-AP-11 — Vendor master hygiene review
+
+> Contoso Entertainment System USA · Accounts Payable Controls · effective 2026-01-01 · v2.1
+> SIMULATION ONLY
+
+Dormant vendor records are a standing fraud exposure: the account still carries banking
+details, still passes a payment run's validity checks, and nobody is watching it. Compromise
+of a dormant record is a documented business-email-compromise pattern, because the legitimate
+counterparty is not in contact to notice.
+
+## 1. Definition of dormant
+
+A vendor is **dormant** when it satisfies all of:
+
+1. it has **at least one posted transaction** in its history — a vendor that has never
+   transacted is *not* dormant, it is **unused**, and is handled under §3; and
+2. its **most recent** posted transaction is more than **12 months** before the review date; and
+3. its master record is still **active** — a vendor already on hold has been actioned and is
+   out of scope for this review.
+
+Measure from the most recent transaction of any type, not from the most recent invoice: a
+payment or credit note is contact with the counterparty.
+
+## 2. Disposition of a dormant vendor
+
+Flag for deactivation and bank-detail purge. Reactivation requires the full onboarding
+control, including independent callback verification of banking details on the number of
+record — never a number supplied in the reactivation request.
+
+## 3. Unused vendors
+
+A vendor with no transaction history was onboarded and never used. It is a **different**
+finding with a different owner (Procurement, not AP Controls) and is reported separately.
+Do not report it as dormant — the counts feed different control metrics and conflating them
+has caused the quarterly numbers to be restated before.
+
+## 4. Cadence
+
+Reviewed quarterly against the vendor group under review. The review date is the world's
+current date.
diff --git a/task_files/lgr100-097-dormant-vendor-review-v2/documents/vendor-hygiene-policy.md b/task_files/lgr100-097-dormant-vendor-review-v2/documents/vendor-hygiene-policy.md
new file mode 100644
index 0000000000000000000000000000000000000000..af666c5bfb9f7273e54b6f548e1682b2910bc2bb
--- /dev/null
+++ b/task_files/lgr100-097-dormant-vendor-review-v2/documents/vendor-hygiene-policy.md
@@ -0,0 +1,40 @@
+# SOP-AP-11 — Vendor master hygiene review
+
+> Contoso Entertainment System USA · Accounts Payable Controls · effective 2026-01-01 · v2.1
+> SIMULATION ONLY
+
+Dormant vendor records are a standing fraud exposure: the account still carries banking
+details, still passes a payment run's validity checks, and nobody is watching it. Compromise
+of a dormant record is a documented business-email-compromise pattern, because the legitimate
+counterparty is not in contact to notice.
+
+## 1. Definition of dormant
+
+A vendor is **dormant** when it satisfies all of:
+
+1. it has **at least one posted transaction** in its history — a vendor that has never
+   transacted is *not* dormant, it is **unused**, and is handled under §3; and
+2. its **most recent** posted transaction is more than **12 months** before the review date; and
+3. its master record is still **active** — a vendor already on hold has been actioned and is
+   out of scope for this review.
+
+Measure from the most recent transaction of any type, not from the most recent invoice: a
+payment or credit note is contact with the counterparty.
+
+## 2. Disposition of a dormant vendor
+
+Flag for deactivation and bank-detail purge. Reactivation requires the full onboarding
+control, including independent callback verification of banking details on the number of
+record — never a number supplied in the reactivation request.
+
+## 3. Unused vendors
+
+A vendor with no transaction history was onboarded and never used. It is a **different**
+finding with a different owner (Procurement, not AP Controls) and is reported separately.
+Do not report it as dormant — the counts feed different control metrics and conflating them
+has caused the quarterly numbers to be restated before.
+
+## 4. Cadence
+
+Reviewed quarterly against the vendor group under review. The review date is the world's
+current date.
diff --git a/task_files/lgr100-100-tac-find-signatories/documents/memo--interim-signing-delegation.md b/task_files/lgr100-100-tac-find-signatories/documents/memo--interim-signing-delegation.md
new file mode 100644
index 0000000000000000000000000000000000000000..823d194ad04ffc74164ec64847e68a85552d8035
--- /dev/null
+++ b/task_files/lgr100-100-tac-find-signatories/documents/memo--interim-signing-delegation.md
@@ -0,0 +1,23 @@
+# Interim signing delegation — Assistant Treasurer
+
+> Contoso Entertainment System USA · Office of the CFO · dated 2025-11-03
+> SIMULATION ONLY
+
+To: Toma Larsen, Assistant Treasurer
+Copy: Treasury Operations, Accounts Payable, Mandate Services (First National)
+
+Halvard Brekke, Corporate Controller, begins parental leave on 3 November 2025. To keep
+payment release working while he is away, I am appointing Toma Larsen to the USMF-OPER mandate
+at **Band B**, single-signature limit **USD 250,000**, with effect from 3 November 2025.
+
+This is an interim delegation and it is time-limited. **It ends on 28 February 2026** and does
+not renew. It falls away on that date whether or not Halvard has returned, whether or not the
+register has been updated, and whether or not there is cover in place for the work. If the
+arrangement needs to continue beyond 28 February 2026, a fresh delegation memo from this office
+is required — an expiring delegation is never extended by silence (SOP-TR-02 §2).
+
+Toma remains an employee in his substantive role as Assistant Treasurer when the delegation
+ends; only the signing authority lapses.
+
+Marguerite Okonjo
+Chief Financial Officer (SIMULATION)
diff --git a/task_files/lgr100-100-tac-find-signatories/documents/policy--treasury-signing-authority.md b/task_files/lgr100-100-tac-find-signatories/documents/policy--treasury-signing-authority.md
new file mode 100644
index 0000000000000000000000000000000000000000..008308a8148a973b0f13d951c41f5266455c27c2
--- /dev/null
+++ b/task_files/lgr100-100-tac-find-signatories/documents/policy--treasury-signing-authority.md
@@ -0,0 +1,65 @@
+# SOP-TR-02 — Signing authority and bank mandate maintenance
+
+> Contoso Entertainment System USA · Treasury · effective 2026-01-01 · v4.1
+> SIMULATION ONLY
+
+Applies to every bank mandate held in the name of the USMF entity, including the operating
+account (USMF-OPER) and the payroll account (USMF-PAYR).
+
+## 1. Authority bands
+
+A mandate row appoints one named individual, in one capacity, at one band. The band sets the
+ceiling; the row states the individual's own single-signature limit, which may be lower.
+
+| Band | May release, single signature, up to |
+|---|---|
+| A | the limit stated on the row, to a maximum of USD 1,000,000 |
+| B | USD 250,000 |
+| C | USD 50,000 |
+
+A payment above a signatory's single-signature limit is not theirs to release. It is escalated
+to a signatory whose limit covers it — in practice, to Band A.
+
+## 2. What makes an authority valid today
+
+An authority is valid on a given day only if **all** of the following hold on that day. Any one
+of them failing voids the authority immediately; there is no grace period and no partial
+authority.
+
+1. **The individual is an active employee.** Signing authority is a property of employment.
+   It lapses on the individual's last working day, automatically, whether or not anyone tells
+   the bank and whether or not the offboarding checklist has been closed. The current HR
+   personnel extract is the record of employment status; the mandate register is not.
+2. **The delegation is within its dates.** The row must have taken effect on or before today.
+   Where the row states an expiry date, the authority is void from the day after that date.
+   A time-limited delegation is never extended by silence, by the delegate remaining employed,
+   or by the register still showing the row — an extension requires a fresh written delegation
+   from the CFO.
+3. **The row is on the current register** for the account being certified.
+
+## 3. The register status column is not evidence
+
+The `Register status` column is maintained by hand by Treasury Operations and is updated when
+the change is noticed, not when it happens. It routinely shows `Active` against authorities
+that have already fallen away under section 2. Never certify a mandate, revoke access, or
+release a payment on the strength of that column. Test each row against section 2.
+
+## 4. One individual, one signature
+
+An individual may hold more than one mandate row — a substantive role and a cover arrangement,
+or two capacities in different processes. **Two rows held by the same person are one
+signatory.** When certifying to the bank, count individuals, not rows: the bank holds one
+specimen signature per person. For the same reason, two rows in one person's name can never
+satisfy a requirement for two signatures.
+
+## 5. Removal
+
+Every row failing section 2 is struck from the mandate at the next refresh, the bank is
+notified in the certification, and the individual's payment-release access in the ERP is
+revoked on the same day. Rows are struck, never left in place "pending tidy-up".
+
+## 6. Certification
+
+The refresh certificate states the individuals authorised to sign, each one's single-signature
+limit, and the rows being struck with the reason. Treasury Management signs the certificate;
+the administrator who maintains the register does not certify it.
diff --git a/tasks/lgr100-001-duplicate-payment-mar.json b/tasks/lgr100-001-duplicate-payment-mar.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2c303991c2903e8e0e3aff44bdd055b883d7b9a
--- /dev/null
+++ b/tasks/lgr100-001-duplicate-payment-mar.json
@@ -0,0 +1,215 @@
+{
+  "context_files": [
+    "task_files/lgr100-001-duplicate-payment-mar/documents/duplicate-payment-control.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "committed",
+        "name": "run_committed",
+        "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": "OSINV-5530,OSINV-5555,TPS-11907",
+        "name": "paid_set",
+        "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)",
+        "type": "sql"
+      },
+      {
+        "expect": 1,
+        "name": "exactly_one_rejection",
+        "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='rejected'",
+        "type": "sql"
+      },
+      {
+        "expect": "duplicate",
+        "name": "duplicate_rejected_with_code",
+        "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='5521-OPS'",
+        "type": "sql"
+      },
+      {
+        "expect": "paid",
+        "name": "lookalike_was_paid",
+        "sql": "SELECT disposition FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='OSINV-5555'",
+        "type": "sql"
+      },
+      {
+        "expect": 34450.0,
+        "name": "paid_total_rederived",
+        "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": 1,
+        "name": "original_untouched",
+        "sql": "SELECT closed FROM erp_vend_trans WHERE invoice='OSINV-5521'",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "amount_prevented": 18400.0,
+      "duplicate_found": "yes",
+      "duplicate_invoice": "5521-OPS",
+      "duplicate_of": "OSINV-5521",
+      "run_id": "PR-00001",
+      "total_paid": 34450.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "anomaly_triage",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-001-duplicate-payment-mar",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5/M7; chaos pattern 8 (near-duplicate invoice numbers, ~1.5% duplicate-payment leakage) in research/domain-workflows.md; disbursement controls in research/external/articles/vendor-master-bec-fraud--afp-truist.md",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 11,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 08:05, Friday 6 March**\n\nOffice-supplies run today — vendor group OFFICE, operating account. Cash is fine this week\nso it should be a quick one.\n\nBefore you commit it, run the duplicate screen per SOP-AP-07. We got burned on this in Q4\nand the auditors flagged it, so it's on every run now whether or not cash is tight. Be\ncareful though — last time someone binned a perfectly good invoice because the amount looked\nfamiliar and the vendor was not happy.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PR-00001"
+          ],
+          "field": "run_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": "yes",
+          "field": "duplicate_found",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "5521-OPS"
+          ],
+          "field": "duplicate_invoice",
+          "forbid": [
+            "OSINV-5555"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "OSINV-5521"
+          ],
+          "field": "duplicate_of",
+          "type": "contains_all"
+        },
+        {
+          "expect": 34450.0,
+          "field": "total_paid",
+          "gt_sql": "SELECT ROUND(SUM(net_amount),2) FROM erp_payment_run_lines WHERE disposition='paid'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 18400.0,
+          "field": "amount_prevented",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "committed",
+          "name": "run_committed",
+          "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": "OSINV-5530,OSINV-5555,TPS-11907",
+          "name": "paid_set",
+          "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)",
+          "type": "sql"
+        },
+        {
+          "expect": 1,
+          "name": "exactly_one_rejection",
+          "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='rejected'",
+          "type": "sql"
+        },
+        {
+          "expect": "duplicate",
+          "name": "duplicate_rejected_with_code",
+          "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='5521-OPS'",
+          "type": "sql"
+        },
+        {
+          "expect": "paid",
+          "name": "lookalike_was_paid",
+          "sql": "SELECT disposition FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='OSINV-5555'",
+          "type": "sql"
+        },
+        {
+          "expect": 34450.0,
+          "name": "paid_total_rederived",
+          "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": 1,
+          "name": "original_untouched",
+          "sql": "SELECT closed FROM erp_vend_trans WHERE invoice='OSINV-5521'",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_payment_runs",
+            "erp_payment_run_lines",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-001-duplicate-payment-mar",
+  "task_name": "anomaly_triage/duplicate-payment-mar",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-002-ach-return-mar.json b/tasks/lgr100-002-ach-return-mar.json
new file mode 100644
index 0000000000000000000000000000000000000000..ba5b0b98431697daaf8591e42e87c0cd0679ed8c
--- /dev/null
+++ b/tasks/lgr100-002-ach-return-mar.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "reopened_invoice": "LHINV-001",
+      "returned_amount": 18000.0,
+      "returned_payment_ref": "LHPAY-77",
+      "true_open_balance": 35200.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "bank_rec",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-002-ach-return-mar",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "gap found in repo sweep (research/external/repos/INDEX.md): payment failure after settlement — ACH returns/reversals",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 07:48**\n\nThere's a return on this morning's bank file for Lamna. What does it undo, and what do they actually owe us now? The ERP hasn't caught up yet.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "LHPAY-77"
+          ],
+          "field": "returned_payment_ref",
+          "type": "contains_all"
+        },
+        {
+          "expect": 18000.0,
+          "field": "returned_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "LHINV-001"
+          ],
+          "field": "reopened_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 35200.0,
+          "field": "true_open_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-002-ach-return-mar",
+  "task_name": "bank_rec/ach-return-mar",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-003-ach-return-mar-esc-burie-quiet.json b/tasks/lgr100-003-ach-return-mar-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..d4ad273c0a9eae4fe9e98a6d10e9768e09a68a6e
--- /dev/null
+++ b/tasks/lgr100-003-ach-return-mar-esc-burie-quiet.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "reopened_invoice": "LHINV-001",
+      "returned_amount": 18000.0,
+      "returned_payment_ref": "LHPAY-77",
+      "true_open_balance": 35200.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "bank_rec",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-003-ach-return-mar-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of bank_rec/ach-return-mar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: gap found in repo sweep (research/external/repos/INDEX.md): payment failure after settlement — ACH returns/reversals",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 07:48**\n\nThere's a return on this morning's bank file for Lamna. What does it undo, and what do they actually owe us now? The ERP hasn't caught up yet.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "LHPAY-77"
+          ],
+          "field": "returned_payment_ref",
+          "type": "contains_all"
+        },
+        {
+          "expect": 18000.0,
+          "field": "returned_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "LHINV-001"
+          ],
+          "field": "reopened_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 35200.0,
+          "field": "true_open_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-003-ach-return-mar-esc-burie-quiet",
+  "task_name": "bank_rec/ach-return-mar-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-004-statement-divergence-feb.json b/tasks/lgr100-004-statement-divergence-feb.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec757d5f824b02814998e818e1758ed44a967595
--- /dev/null
+++ b/tasks/lgr100-004-statement-divergence-feb.json
@@ -0,0 +1,105 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "bank_only_ref": "DEP-9911",
+      "books_only_ref": "PMT-2104",
+      "discrepancy_amount": 45.0,
+      "discrepancy_ref": "PMT-2102",
+      "matched_count": 2
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "bank_rec",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-004-statement-divergence-feb",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#1; grading taxonomy = Microsoft recon-agent buckets (Matched / Discrepancy / bank-only / books-only)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 09:05**\n\nReceipts for 24-28 Feb: bank against books. Anything not lining up? Classify whatever you find.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 2,
+          "field": "matched_count",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "PMT-2102"
+          ],
+          "field": "discrepancy_ref",
+          "type": "contains_all"
+        },
+        {
+          "expect": 45.0,
+          "field": "discrepancy_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "DEP-9911"
+          ],
+          "field": "bank_only_ref",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "PMT-2104"
+          ],
+          "field": "books_only_ref",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-004-statement-divergence-feb",
+  "task_name": "bank_rec/statement-divergence-feb",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-005-statement-divergence-feb-esc-burie-quiet.json b/tasks/lgr100-005-statement-divergence-feb-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..99810f1465c2d5bdd587f1b8af99ca529218b758
--- /dev/null
+++ b/tasks/lgr100-005-statement-divergence-feb-esc-burie-quiet.json
@@ -0,0 +1,105 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "bank_only_ref": "DEP-9911",
+      "books_only_ref": "PMT-2104",
+      "discrepancy_amount": 45.0,
+      "discrepancy_ref": "PMT-2102",
+      "matched_count": 2
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "bank_rec",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-005-statement-divergence-feb-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of bank_rec/statement-divergence-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#1; grading taxonomy = Microsoft recon-agent buckets (Matched / Discrepancy / bank-only / books-only)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 09:05**\n\nReceipts for 24-28 Feb: bank against books. Anything not lining up? Classify whatever you find.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 2,
+          "field": "matched_count",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "PMT-2102"
+          ],
+          "field": "discrepancy_ref",
+          "type": "contains_all"
+        },
+        {
+          "expect": 45.0,
+          "field": "discrepancy_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "DEP-9911"
+          ],
+          "field": "bank_only_ref",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "PMT-2104"
+          ],
+          "field": "books_only_ref",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-005-statement-divergence-feb-esc-burie-quiet",
+  "task_name": "bank_rec/statement-divergence-feb-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-006-brief-caterpillar.json b/tasks/lgr100-006-brief-caterpillar.json
new file mode 100644
index 0000000000000000000000000000000000000000..e11633b0ceb8d9e5f82edbfa0e69a1a4dfa2987a
--- /dev/null
+++ b/tasks/lgr100-006-brief-caterpillar.json
@@ -0,0 +1,101 @@
+{
+  "context_files": [
+    "task_files/lgr100-006-brief-caterpillar/documents/template--business-brief.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "equity_fy2024": 19494000000,
+      "internal_ar_relationship": "none",
+      "lt_de_ratio_3yr_avg": 1.43,
+      "lt_debt_fy2024": 27351000000
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "business_brief",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-006-brief-caterpillar",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark:business_brief (section schema incl. internal AR/AP fusion) converted from LLM-judge rubric to structured fields; ratios from user-brief Caterpillar example",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email, Tue 07:55**\n\nI'm presenting the Caterpillar credit brief Thursday. Can you do the leverage section — the debt and equity figures, the three-year ratio picture — and check whether we already trade with them?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 27351000000,
+          "field": "lt_debt_fy2024",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 19494000000,
+          "field": "equity_fy2024",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 1.4253,
+          "field": "lt_de_ratio_3yr_avg",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "field": "internal_ar_relationship",
+          "type": "none_answer"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings",
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-006-brief-caterpillar",
+  "task_name": "business_brief/brief-caterpillar",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-007-brief-caterpillar-esc-burie-quiet.json b/tasks/lgr100-007-brief-caterpillar-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..1676efb330c42f86dfe2d30fa59d701f09c84184
--- /dev/null
+++ b/tasks/lgr100-007-brief-caterpillar-esc-burie-quiet.json
@@ -0,0 +1,101 @@
+{
+  "context_files": [
+    "task_files/lgr100-007-brief-caterpillar-esc-burie-quiet/documents/template--business-brief.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "equity_fy2024": 19494000000,
+      "internal_ar_relationship": "none",
+      "lt_de_ratio_3yr_avg": 1.43,
+      "lt_debt_fy2024": 27351000000
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "business_brief",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-007-brief-caterpillar-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of business_brief/brief-caterpillar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:business_brief (section schema incl. internal AR/AP fusion) converted from LLM-judge rubric to structured fields; ratios from user-brief Caterpillar example",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email, Tue 07:55**\n\nI'm presenting the Caterpillar credit brief Thursday. Can you do the leverage section — the debt and equity figures, the three-year ratio picture — and check whether we already trade with them?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 27351000000,
+          "field": "lt_debt_fy2024",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 19494000000,
+          "field": "equity_fy2024",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 1.4253,
+          "field": "lt_de_ratio_3yr_avg",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "field": "internal_ar_relationship",
+          "type": "none_answer"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings",
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-007-brief-caterpillar-esc-burie-quiet",
+  "task_name": "business_brief/brief-caterpillar-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-008-brief-caterpillar-v2.json b/tasks/lgr100-008-brief-caterpillar-v2.json
new file mode 100644
index 0000000000000000000000000000000000000000..84c222bd722fbc294d5fbc3d95b0a7504468dd2e
--- /dev/null
+++ b/tasks/lgr100-008-brief-caterpillar-v2.json
@@ -0,0 +1,118 @@
+{
+  "context_files": [
+    "task_files/lgr100-008-brief-caterpillar-v2/documents/policy--counterparty-credit.md",
+    "task_files/lgr100-008-brief-caterpillar-v2/documents/template--business-brief.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "internal_relationship": "none",
+      "leverage_classification": "moderate",
+      "lt_de_2022": 1.62,
+      "lt_de_2023": 1.25,
+      "lt_de_2024": 1.4,
+      "lt_de_ratio_3yr_avg": 1.43
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "harder",
+    "family": "business_brief",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-008-brief-caterpillar-v2",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "grow: escalated from business_brief/brief-caterpillar (haiku passed 2/2 -> too_easy). Escalations: per-year ratio fields, leverage classification requires reading the credit policy bands, walk 8->10.",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email, Tue 07:55**\n\nCaterpillar credit brief for Thursday. I need the leverage worked per year rather than just the average, classified the way our policy wants it, and the usual check on whether we already trade with them. Follow the brief template.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 1.618,
+          "field": "lt_de_2022",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 1.255,
+          "field": "lt_de_2023",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 1.403,
+          "field": "lt_de_2024",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 1.425,
+          "field": "lt_de_ratio_3yr_avg",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "moderate"
+          ],
+          "field": "leverage_classification",
+          "type": "contains_all"
+        },
+        {
+          "field": "internal_relationship",
+          "type": "none_answer"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings",
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-008-brief-caterpillar-v2",
+  "task_name": "business_brief/brief-caterpillar-v2",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-009-brief-advanced-micro-devices-inc.json b/tasks/lgr100-009-brief-advanced-micro-devices-inc.json
new file mode 100644
index 0000000000000000000000000000000000000000..01ef296110fd8b623e126d3efe7f9495e66c5893
--- /dev/null
+++ b/tasks/lgr100-009-brief-advanced-micro-devices-inc.json
@@ -0,0 +1,105 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "internal_ar_relationship": "none",
+      "internal_open_ar_usd": 0,
+      "lt_de_ratio_3yr_avg": 0.0326,
+      "net_income_fy2025": 4335000000.0,
+      "revenue_fy2025": 34639000000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "business_brief_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-009-brief-advanced-micro-devices-inc",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark business_brief item business_brief-007 (Advanced Micro Devices Inc); the JUDGEMENT is ported and FB's DSPy LLM-judge prose scoring is dropped per docs/INGESTION.md judgement_port. Figures recomputed from the frozen SEC XBRL snapshot; the internal_ar_relationship field is this world's addition — it is answerable only from the ERP, not the filings (scale/profitability @ 2025-12-27 (10-K); 3yr avg long-term D/E; no internal exposure (trap))",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 7,
+    "walk_servers": [
+      "erp",
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email**\n\nPutting together the counterparty brief on Advanced Micro Devices Inc. I need the public numbers — scale, profitability and the leverage picture — and, importantly, whether we already have any exposure to them on our own books. Don't assume either way, check.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 34639000000.0,
+          "field": "revenue_fy2025",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 4335000000.0,
+          "field": "net_income_fy2025",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 0.0326,
+          "field": "lt_de_ratio_3yr_avg",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "field": "internal_ar_relationship",
+          "type": "none_answer"
+        },
+        {
+          "expect": 0,
+          "field": "internal_open_ar_usd",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings",
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-009-brief-advanced-micro-devices-inc",
+  "task_name": "business_brief_fb/brief-advanced-micro-devices-inc",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-010-brief-american-airlines-group.json b/tasks/lgr100-010-brief-american-airlines-group.json
new file mode 100644
index 0000000000000000000000000000000000000000..5dde7daa056aa6c8e709c7f3bf9c381394b99487
--- /dev/null
+++ b/tasks/lgr100-010-brief-american-airlines-group.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "internal_ar_relationship": "BRF-20",
+      "internal_open_ar_usd": 42132,
+      "lt_de_ratio_3yr_avg": -6.1185,
+      "net_income_fy2025": 111000000.0,
+      "revenue_fy2025": 54633000000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "business_brief_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-010-brief-american-airlines-group",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark business_brief item business_brief-158 (American Airlines Group); the JUDGEMENT is ported and FB's DSPy LLM-judge prose scoring is dropped per docs/INGESTION.md judgement_port. Figures recomputed from the frozen SEC XBRL snapshot; the internal_ar_relationship field is this world's addition — it is answerable only from the ERP, not the filings (scale/profitability @ 2025-12-31 (10-K); 3yr avg long-term D/E; internal exposure BRF-20 = 42132)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 7,
+    "walk_servers": [
+      "erp",
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email**\n\nPutting together the counterparty brief on American Airlines Group. I need the public numbers — scale, profitability and the leverage picture — and, importantly, whether we already have any exposure to them on our own books. Don't assume either way, check.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 54633000000.0,
+          "field": "revenue_fy2025",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 111000000.0,
+          "field": "net_income_fy2025",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": -6.1185,
+          "field": "lt_de_ratio_3yr_avg",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "BRF-20"
+          ],
+          "field": "internal_ar_relationship",
+          "type": "contains_all"
+        },
+        {
+          "expect": 42132,
+          "field": "internal_open_ar_usd",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings",
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-010-brief-american-airlines-group",
+  "task_name": "business_brief_fb/brief-american-airlines-group",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-011-brief-apple-inc.json b/tasks/lgr100-011-brief-apple-inc.json
new file mode 100644
index 0000000000000000000000000000000000000000..08b10d71fe3e060912aafdd69bde3403fa9e9362
--- /dev/null
+++ b/tasks/lgr100-011-brief-apple-inc.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "internal_ar_relationship": "BRF-00",
+      "internal_open_ar_usd": 41732,
+      "lt_de_ratio_3yr_avg": 1.3671,
+      "net_income_fy2025": 112010000000.0,
+      "revenue_fy2025": 416161000000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "business_brief_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-011-brief-apple-inc",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark business_brief item business_brief-006 (Apple Inc); the JUDGEMENT is ported and FB's DSPy LLM-judge prose scoring is dropped per docs/INGESTION.md judgement_port. Figures recomputed from the frozen SEC XBRL snapshot; the internal_ar_relationship field is this world's addition — it is answerable only from the ERP, not the filings (scale/profitability @ 2025-09-27 (10-K); 3yr avg long-term D/E; internal exposure BRF-00 = 41732)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 7,
+    "walk_servers": [
+      "erp",
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email**\n\nPutting together the counterparty brief on Apple Inc. I need the public numbers — scale, profitability and the leverage picture — and, importantly, whether we already have any exposure to them on our own books. Don't assume either way, check.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 416161000000.0,
+          "field": "revenue_fy2025",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 112010000000.0,
+          "field": "net_income_fy2025",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 1.3671,
+          "field": "lt_de_ratio_3yr_avg",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "BRF-00"
+          ],
+          "field": "internal_ar_relationship",
+          "type": "contains_all"
+        },
+        {
+          "expect": 41732,
+          "field": "internal_open_ar_usd",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings",
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-011-brief-apple-inc",
+  "task_name": "business_brief_fb/brief-apple-inc",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-012-deduction-coding-mar.json b/tasks/lgr100-012-deduction-coding-mar.json
new file mode 100644
index 0000000000000000000000000000000000000000..af4badfcf1f1a31347d2717a388c7049d6238535
--- /dev/null
+++ b/tasks/lgr100-012-deduction-coding-mar.json
@@ -0,0 +1,153 @@
+{
+  "context_files": [
+    "task_files/lgr100-012-deduction-coding-mar/documents/copper-ridge-po.md",
+    "task_files/lgr100-012-deduction-coding-mar/documents/deduction-policy.md",
+    "task_files/lgr100-012-deduction-coding-mar/documents/sable-finch-allowance.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "chargeback_amount": 5400.0,
+      "cinv701_reason": "pricing_variance",
+      "cinv702_reason": "promotional_allowance",
+      "cinv703_reason": "write_off_immaterial",
+      "cinv704_reason": "unauthorized",
+      "conceded_amount": 1950.0,
+      "total_deductions": 7350.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "cash_app",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-012-deduction-coding-mar",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "closes tracked coverage gaps art.deduction_coding and fb.erp.deductions; deduction taxonomy and routing from research/external/articles/cash-application--{highradius,stuut,zamp}.md; docs/HARD-LAYER-DESIGN.md M3/M4/M5",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Ana Duarte · AR Manager · Teams 08:45**\n\nFour short-pays came in this week — CINV-701 through CINV-704. Can you code and route them\nper SOP-AR-06 before the AR bridge goes out?\n\nDon't just take the reason off the remittance. We had one last quarter coded as a damages\nclaim on the customer's say-so and it turned out to be a price they'd never agreed; we\nconceded 12k we should have charged back.\n\nConceded and chargeback go on separate lines of the bridge — don't net them.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 7350.0,
+          "field": "total_deductions",
+          "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE invoice LIKE 'CINV-70%'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "pricing_variance"
+          ],
+          "field": "cinv701_reason",
+          "forbid": [
+            "shortage_damage",
+            "unauthorized",
+            "promotional_allowance",
+            "write_off"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "promotional_allowance"
+          ],
+          "field": "cinv702_reason",
+          "forbid": [
+            "unauthorized",
+            "pricing_variance",
+            "shortage_damage"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "write_off_immaterial"
+          ],
+          "field": "cinv703_reason",
+          "forbid": [
+            "shortage_damage",
+            "pricing_variance",
+            "unauthorized"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "unauthorized"
+          ],
+          "field": "cinv704_reason",
+          "forbid": [
+            "shortage_damage",
+            "pricing_variance",
+            "promotional_allowance"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 1950.0,
+          "field": "conceded_amount",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 5400.0,
+          "field": "chargeback_amount",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-012-deduction-coding-mar",
+  "task_name": "cash_app/deduction-coding-mar",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-013-remittance-batch-mar02.json b/tasks/lgr100-013-remittance-batch-mar02.json
new file mode 100644
index 0000000000000000000000000000000000000000..3239b047e0620c006e400ac91b364017ebe9031b
--- /dev/null
+++ b/tasks/lgr100-013-remittance-batch-mar02.json
@@ -0,0 +1,103 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "dep501_invoices": "LHINV-001, LHINV-002",
+      "dep502_invoices": "LHINV-003",
+      "dep503_invoices": "none",
+      "unapplied_amount": 4000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "cash_app",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-013-remittance-batch-mar02",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#4 (HighRadius/Auditoria pattern: remittance emails + bank export -> apply); 46% unapplied-cash stat",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 7,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 08:12**\n\nThree deposits from Lamna in this morning's lockbox. Can you work out how they apply? Don't guess on anything you can't tie out.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "LHINV-001",
+            "LHINV-002"
+          ],
+          "field": "dep501_invoices",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "LHINV-003"
+          ],
+          "field": "dep502_invoices",
+          "type": "contains_all"
+        },
+        {
+          "field": "dep503_invoices",
+          "forbid": [
+            "LHINV-001",
+            "LHINV-002",
+            "LHINV-003"
+          ],
+          "type": "none_answer"
+        },
+        {
+          "expect": 4000.0,
+          "field": "unapplied_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-013-remittance-batch-mar02",
+  "task_name": "cash_app/remittance-batch-mar02",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-014-remittance-batch-mar02-esc-burie-quiet.json b/tasks/lgr100-014-remittance-batch-mar02-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..858927f1745232658813487f9df12e14a07d9014
--- /dev/null
+++ b/tasks/lgr100-014-remittance-batch-mar02-esc-burie-quiet.json
@@ -0,0 +1,103 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "dep501_invoices": "LHINV-001, LHINV-002",
+      "dep502_invoices": "LHINV-003",
+      "dep503_invoices": "none",
+      "unapplied_amount": 4000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "cash_app",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-014-remittance-batch-mar02-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of cash_app/remittance-batch-mar02 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#4 (HighRadius/Auditoria pattern: remittance emails + bank export -> apply); 46% unapplied-cash stat",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 7,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 08:12**\n\nThree deposits from Lamna in this morning's lockbox. Can you work out how they apply? Don't guess on anything you can't tie out.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "LHINV-001",
+            "LHINV-002"
+          ],
+          "field": "dep501_invoices",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "LHINV-003"
+          ],
+          "field": "dep502_invoices",
+          "type": "contains_all"
+        },
+        {
+          "field": "dep503_invoices",
+          "forbid": [
+            "LHINV-001",
+            "LHINV-002",
+            "LHINV-003"
+          ],
+          "type": "none_answer"
+        },
+        {
+          "expect": 4000.0,
+          "field": "unapplied_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-014-remittance-batch-mar02-esc-burie-quiet",
+  "task_name": "cash_app/remittance-batch-mar02-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-015-cesp-four-week.json b/tasks/lgr100-015-cesp-four-week.json
new file mode 100644
index 0000000000000000000000000000000000000000..98458604e605c062696e62a6d36d4216bf34229f
--- /dev/null
+++ b/tasks/lgr100-015-cesp-four-week.json
@@ -0,0 +1,106 @@
+{
+  "context_files": [
+    "task_files/lgr100-015-cesp-four-week/documents/sop--cash-forecast-assumptions.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "four_week_net": -322000.0,
+      "week1_net": 14000.0,
+      "week2_net": -169000.0,
+      "week3_net": 51000.0,
+      "week4_net": -218000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "cash_forecast",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-015-cesp-four-week",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#8 (13-week direct method, scoped to 4 weeks); assumptions doc = consult-don't-know",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email, Mon 07:30**\n\nBoard call Thursday — I need CESP's cash position for the next four weeks, week by week starting today. Use our standard assumptions.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 14000.0,
+          "field": "week1_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -169000.0,
+          "field": "week2_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 51000.0,
+          "field": "week3_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -218000.0,
+          "field": "week4_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -322000.0,
+          "field": "four_week_net",
+          "tol_abs": 0.1,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-015-cesp-four-week",
+  "task_name": "cash_forecast/cesp-four-week",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-016-cesp-four-week-esc-burie-quiet.json b/tasks/lgr100-016-cesp-four-week-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b110fe0199a726b913a280b296ea25df2039f42
--- /dev/null
+++ b/tasks/lgr100-016-cesp-four-week-esc-burie-quiet.json
@@ -0,0 +1,106 @@
+{
+  "context_files": [
+    "task_files/lgr100-016-cesp-four-week-esc-burie-quiet/documents/sop--cash-forecast-assumptions.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "four_week_net": -322000.0,
+      "week1_net": 14000.0,
+      "week2_net": -169000.0,
+      "week3_net": 51000.0,
+      "week4_net": -218000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "cash_forecast",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-016-cesp-four-week-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of cash_forecast/cesp-four-week via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#8 (13-week direct method, scoped to 4 weeks); assumptions doc = consult-don't-know",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · email, Mon 07:30**\n\nBoard call Thursday — I need CESP's cash position for the next four weeks, week by week starting today. Use our standard assumptions.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 14000.0,
+          "field": "week1_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -169000.0,
+          "field": "week2_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 51000.0,
+          "field": "week3_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -218000.0,
+          "field": "week4_net",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -322000.0,
+          "field": "four_week_net",
+          "tol_abs": 0.1,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-016-cesp-four-week-esc-burie-quiet",
+  "task_name": "cash_forecast/cesp-four-week-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-017-period-lock-correction.json b/tasks/lgr100-017-period-lock-correction.json
new file mode 100644
index 0000000000000000000000000000000000000000..ff9816ad29f199f314072fbbb6915dd4be9bd650
--- /dev/null
+++ b/tasks/lgr100-017-period-lock-correction.json
@@ -0,0 +1,205 @@
+{
+  "context_files": [
+    "task_files/lgr100-017-period-lock-correction/documents/period-close-policy.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "posted",
+        "name": "correction_posted",
+        "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+        "type": "sql"
+      },
+      {
+        "expect": "2026-03",
+        "name": "booked_to_open_period",
+        "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+        "type": "sql"
+      },
+      {
+        "expect": 1,
+        "name": "nothing_posted_into_january",
+        "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'",
+        "type": "sql"
+      },
+      {
+        "expect": "600200",
+        "name": "debit_to_software",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0",
+        "type": "sql"
+      },
+      {
+        "expect": "600300",
+        "name": "credit_reverses_te",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0",
+        "type": "sql"
+      },
+      {
+        "expect": 0.0,
+        "name": "reclass_nets_to_zero",
+        "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+        "tol_abs": 0.005,
+        "type": "sql"
+      },
+      {
+        "expect": "posted",
+        "name": "original_untouched",
+        "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "amount": 8400.0,
+      "january_status": "closed",
+      "journal_id": "GJ-00002",
+      "journal_state": "posted",
+      "posting_period": "2026-03"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "close_mgmt",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-017-period-lock-correction",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "closes tracked coverage gap erpnext.period_close_lock (sim/coverage.py); period-status model from research/odoo-domain.md (Odoo company lock dates) and research/erp-mcp-tool-census.md (mcp-erp close_period/reopen_period); docs/HARD-LAYER-DESIGN.md M1/M3/M5",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Controller · Teams 09:12**\n\nAudit picked up a coding error from January — GJ-00900, the Northwind analytics\nsubscription, $8,400 sitting in travel & entertainment instead of software. It's a straight\nreclass between expense accounts, no cash impact.\n\nCan you book the correction and tell me where it landed? January's numbers have already gone\nout, so be careful about the dating — check the calendar before you date it, ours doesn't\ntrack the calendar month.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "GJ-00002"
+          ],
+          "field": "journal_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2026-03"
+          ],
+          "field": "posting_period",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "closed"
+          ],
+          "field": "january_status",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "posted"
+          ],
+          "field": "journal_state",
+          "type": "contains_all"
+        },
+        {
+          "expect": 8400.0,
+          "field": "amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "posted",
+          "name": "correction_posted",
+          "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+          "type": "sql"
+        },
+        {
+          "expect": "2026-03",
+          "name": "booked_to_open_period",
+          "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+          "type": "sql"
+        },
+        {
+          "expect": 1,
+          "name": "nothing_posted_into_january",
+          "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'",
+          "type": "sql"
+        },
+        {
+          "expect": "600200",
+          "name": "debit_to_software",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0",
+          "type": "sql"
+        },
+        {
+          "expect": "600300",
+          "name": "credit_reverses_te",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0",
+          "type": "sql"
+        },
+        {
+          "expect": 0.0,
+          "name": "reclass_nets_to_zero",
+          "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+          "tol_abs": 0.005,
+          "type": "sql"
+        },
+        {
+          "expect": "posted",
+          "name": "original_untouched",
+          "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_ledger_journals",
+            "erp_ledger_journal_lines",
+            "erp_approval_requests",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-017-period-lock-correction",
+  "task_name": "close_mgmt/period-lock-correction",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-018-period-lock-correction-esc-burie-quiet.json b/tasks/lgr100-018-period-lock-correction-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..5fc2f2cdbb7263846b9e2381fbff31571b57c73f
--- /dev/null
+++ b/tasks/lgr100-018-period-lock-correction-esc-burie-quiet.json
@@ -0,0 +1,205 @@
+{
+  "context_files": [
+    "task_files/lgr100-018-period-lock-correction-esc-burie-quiet/documents/period-close-policy.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "posted",
+        "name": "correction_posted",
+        "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+        "type": "sql"
+      },
+      {
+        "expect": "2026-03",
+        "name": "booked_to_open_period",
+        "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+        "type": "sql"
+      },
+      {
+        "expect": 1,
+        "name": "nothing_posted_into_january",
+        "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'",
+        "type": "sql"
+      },
+      {
+        "expect": "600200",
+        "name": "debit_to_software",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0",
+        "type": "sql"
+      },
+      {
+        "expect": "600300",
+        "name": "credit_reverses_te",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0",
+        "type": "sql"
+      },
+      {
+        "expect": 0.0,
+        "name": "reclass_nets_to_zero",
+        "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+        "tol_abs": 0.005,
+        "type": "sql"
+      },
+      {
+        "expect": "posted",
+        "name": "original_untouched",
+        "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "amount": 8400.0,
+      "january_status": "closed",
+      "journal_id": "GJ-00002",
+      "journal_state": "posted",
+      "posting_period": "2026-03"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "close_mgmt",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-018-period-lock-correction-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of close_mgmt/period-lock-correction via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: closes tracked coverage gap erpnext.period_close_lock (sim/coverage.py); period-status model from research/odoo-domain.md (Odoo company lock dates) and research/erp-mcp-tool-census.md (mcp-erp close_period/reopen_period); docs/HARD-LAYER-DESIGN.md M1/M3/M5",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Controller · Teams 09:12**\n\nAudit picked up a coding error from January — GJ-00900, the Northwind analytics\nsubscription, $8,400 sitting in travel & entertainment instead of software. It's a straight\nreclass between expense accounts, no cash impact.\n\nCan you book the correction and tell me where it landed? January's numbers have already gone\nout, so be careful about the dating — check the calendar before you date it, ours doesn't\ntrack the calendar month.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "GJ-00002"
+          ],
+          "field": "journal_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2026-03"
+          ],
+          "field": "posting_period",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "closed"
+          ],
+          "field": "january_status",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "posted"
+          ],
+          "field": "journal_state",
+          "type": "contains_all"
+        },
+        {
+          "expect": 8400.0,
+          "field": "amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "posted",
+          "name": "correction_posted",
+          "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+          "type": "sql"
+        },
+        {
+          "expect": "2026-03",
+          "name": "booked_to_open_period",
+          "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+          "type": "sql"
+        },
+        {
+          "expect": 1,
+          "name": "nothing_posted_into_january",
+          "sql": "SELECT COUNT(*) FROM erp_ledger_journals WHERE period_id='2026-01'",
+          "type": "sql"
+        },
+        {
+          "expect": "600200",
+          "name": "debit_to_software",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND debit>0",
+          "type": "sql"
+        },
+        {
+          "expect": "600300",
+          "name": "credit_reverses_te",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00002' AND credit>0",
+          "type": "sql"
+        },
+        {
+          "expect": 0.0,
+          "name": "reclass_nets_to_zero",
+          "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00002'",
+          "tol_abs": 0.005,
+          "type": "sql"
+        },
+        {
+          "expect": "posted",
+          "name": "original_untouched",
+          "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00900'",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_ledger_journals",
+            "erp_ledger_journal_lines",
+            "erp_approval_requests",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-018-period-lock-correction-esc-burie-quiet",
+  "task_name": "close_mgmt/period-lock-correction-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-019-revenue-recognition-tieout.json b/tasks/lgr100-019-revenue-recognition-tieout.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3726520cceffa02b51d5449db3a5fe7fa7af0b9
--- /dev/null
+++ b/tasks/lgr100-019-revenue-recognition-tieout.json
@@ -0,0 +1,138 @@
+{
+  "context_files": [
+    "task_files/lgr100-019-revenue-recognition-tieout/documents/policy--revenue-recognition-tieout.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "amount_exceptions": "CTR-2047, CTR-2052",
+      "flagged_contracts": "CTR-2047, CTR-2052, CTR-2055, CTR-2058",
+      "over_recognised_usd": 7500.0,
+      "timing_exceptions": "CTR-2055, CTR-2058",
+      "under_recognised_usd": 8000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "close_mgmt",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-019-revenue-recognition-tieout",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-revenue-reconciliation (contracts.xlsx + revenue_schedule.xlsx, flag contracts where recognised revenue misses contract value beyond tolerance OR the schedule does not align with the contract term); the source's LLM-judged RocketChat notification and file-writing checkpoints are dropped for deterministic answer checks, and its single flagged list is split into the two finding classes its own task.md names; docs/HARD-LAYER-DESIGN.md M3 (non-collapse) / M4 (recomputed from the schedule, never read off the register's cached column) / M5 (tolerance and term-alignment rule live only in RAP-04); source checkpoint 1 (asserting the ownCloud path appears in the trajectory) is also dropped as environment-specific - the equivalent here is the required_servers/reads_before_submit trace check",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Iris Bhatt · Revenue Accounting Manager · Teams 07:50**\n\nThe auditors moved the revenue walkthrough to Thursday and the FY26 contract register goes out\nwith the PBC pack. Can you tie it out to the recognition schedule per RAP-04 before I send it?\n\nLast year we handed them a register that footed perfectly and still took two cut-off findings.\nNobody caught them in-house, because the totals agreed. So please don't only foot it.\n\nAlso — don't lean on the recognised column in the register. Someone refreshes that by hand and\nI have no idea when it was last done.\n\nOver- and under-recognised go on separate lines. Netting them is how a real exposure turns into\na rounding difference on the memo, and the auditors ask for the directions anyway.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "CTR-2047",
+            "CTR-2052",
+            "CTR-2055",
+            "CTR-2058"
+          ],
+          "field": "flagged_contracts",
+          "forbid": [
+            "CTR-2041",
+            "CTR-2044",
+            "CTR-2061"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "CTR-2047",
+            "CTR-2052"
+          ],
+          "field": "amount_exceptions",
+          "forbid": [
+            "CTR-2041",
+            "CTR-2044",
+            "CTR-2055",
+            "CTR-2058",
+            "CTR-2061"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "CTR-2055",
+            "CTR-2058"
+          ],
+          "field": "timing_exceptions",
+          "forbid": [
+            "CTR-2041",
+            "CTR-2044",
+            "CTR-2047",
+            "CTR-2052",
+            "CTR-2061"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 7500.0,
+          "field": "over_recognised_usd",
+          "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(rec-val),0),2) FROM v WHERE rec-val > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 8000.0,
+          "field": "under_recognised_usd",
+          "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(val-rec),0),2) FROM v WHERE val-rec > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-019-revenue-recognition-tieout",
+  "task_name": "close_mgmt/revenue-recognition-tieout",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-020-revenue-recognition-tieout-esc-burie-quiet.json b/tasks/lgr100-020-revenue-recognition-tieout-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..820ac46ed89dde469ee0cc4cb57ee817214d0962
--- /dev/null
+++ b/tasks/lgr100-020-revenue-recognition-tieout-esc-burie-quiet.json
@@ -0,0 +1,138 @@
+{
+  "context_files": [
+    "task_files/lgr100-020-revenue-recognition-tieout-esc-burie-quiet/documents/policy--revenue-recognition-tieout.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "amount_exceptions": "CTR-2047, CTR-2052",
+      "flagged_contracts": "CTR-2047, CTR-2052, CTR-2055, CTR-2058",
+      "over_recognised_usd": 7500.0,
+      "timing_exceptions": "CTR-2055, CTR-2058",
+      "under_recognised_usd": 8000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "close_mgmt",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-020-revenue-recognition-tieout-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of close_mgmt/revenue-recognition-tieout via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-revenue-reconciliation (contracts.xlsx + revenue_schedule.xlsx, flag contracts where recognised revenue misses contract value beyond tolerance OR the schedule does not align with the contract term); the source's LLM-judged RocketChat notification and file-writing checkpoints are dropped for deterministic answer checks, and its single flagged list is split into the two finding classes its own task.md names; docs/HARD-LAYER-DESIGN.md M3 (non-collapse) / M4 (recomputed from the schedule, never read off the register's cached column) / M5 (tolerance and term-alignment rule live only in RAP-04); source checkpoint 1 (asserting the ownCloud path appears in the trajectory) is also dropped as environment-specific - the equivalent here is the required_servers/reads_before_submit trace check",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Iris Bhatt · Revenue Accounting Manager · Teams 07:50**\n\nThe auditors moved the revenue walkthrough to Thursday and the FY26 contract register goes out\nwith the PBC pack. Can you tie it out to the recognition schedule per RAP-04 before I send it?\n\nLast year we handed them a register that footed perfectly and still took two cut-off findings.\nNobody caught them in-house, because the totals agreed. So please don't only foot it.\n\nAlso — don't lean on the recognised column in the register. Someone refreshes that by hand and\nI have no idea when it was last done.\n\nOver- and under-recognised go on separate lines. Netting them is how a real exposure turns into\na rounding difference on the memo, and the auditors ask for the directions anyway.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "CTR-2047",
+            "CTR-2052",
+            "CTR-2055",
+            "CTR-2058"
+          ],
+          "field": "flagged_contracts",
+          "forbid": [
+            "CTR-2041",
+            "CTR-2044",
+            "CTR-2061"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "CTR-2047",
+            "CTR-2052"
+          ],
+          "field": "amount_exceptions",
+          "forbid": [
+            "CTR-2041",
+            "CTR-2044",
+            "CTR-2055",
+            "CTR-2058",
+            "CTR-2061"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "CTR-2055",
+            "CTR-2058"
+          ],
+          "field": "timing_exceptions",
+          "forbid": [
+            "CTR-2041",
+            "CTR-2044",
+            "CTR-2047",
+            "CTR-2052",
+            "CTR-2061"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 7500.0,
+          "field": "over_recognised_usd",
+          "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(rec-val),0),2) FROM v WHERE rec-val > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 8000.0,
+          "field": "under_recognised_usd",
+          "gt_sql": "WITH c AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS val FROM sheet_rows WHERE file='contract-register-fy26.xlsx' AND row_no>1), s AS (SELECT json_extract(cells,'$[0]') AS cid, CAST(json_extract(cells,'$[2]') AS REAL) AS amt FROM sheet_rows WHERE file='revenue-schedule-fy26.xlsx' AND row_no>1), v AS (SELECT c.cid AS cid, c.val AS val, COALESCE((SELECT SUM(amt) FROM s WHERE s.cid=c.cid),0) AS rec FROM c) SELECT ROUND(COALESCE(SUM(val-rec),0),2) FROM v WHERE val-rec > (CASE WHEN val*0.001>100 THEN val*0.001 ELSE 100 END)",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-020-revenue-recognition-tieout-esc-burie-quiet",
+  "task_name": "close_mgmt/revenue-recognition-tieout-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-021-subledger-tieout-feb.json b/tasks/lgr100-021-subledger-tieout-feb.json
new file mode 100644
index 0000000000000000000000000000000000000000..44cd01889b881989a443ff966efa6162835a2d8a
--- /dev/null
+++ b/tasks/lgr100-021-subledger-tieout-feb.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [
+    "task_files/lgr100-021-subledger-tieout-feb/documents/sop--month-end-close-checklist.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "blocking_task_owner": "Jordan Blake",
+      "erp_ap_balance": 80500.0,
+      "erp_ar_balance": 128500.0,
+      "unreconciled_subledger": "AP",
+      "variance_amount": 2500.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "close_mgmt",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-021-subledger-tieout-feb",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#2 (close checklist + subledger tie-out); chaos: workbook vs ERP divergence",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 18:20**\n\nCESP February close is stuck. Which subledger isn't tying, by how much, and who owns that task?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 128500.0,
+          "field": "erp_ar_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 80500.0,
+          "field": "erp_ap_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "AP"
+          ],
+          "field": "unreconciled_subledger",
+          "type": "contains_all"
+        },
+        {
+          "expect": 2500.0,
+          "field": "variance_amount",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "jordan"
+          ],
+          "field": "blocking_task_owner",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-021-subledger-tieout-feb",
+  "task_name": "close_mgmt/subledger-tieout-feb",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-022-subledger-tieout-feb-esc-burie-quiet.json b/tasks/lgr100-022-subledger-tieout-feb-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..e003c58d64497234e8fbf8203322d86a82d154a6
--- /dev/null
+++ b/tasks/lgr100-022-subledger-tieout-feb-esc-burie-quiet.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [
+    "task_files/lgr100-022-subledger-tieout-feb-esc-burie-quiet/documents/sop--month-end-close-checklist.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "blocking_task_owner": "Jordan Blake",
+      "erp_ap_balance": 80500.0,
+      "erp_ar_balance": 128500.0,
+      "unreconciled_subledger": "AP",
+      "variance_amount": 2500.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "close_mgmt",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-022-subledger-tieout-feb-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of close_mgmt/subledger-tieout-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#2 (close checklist + subledger tie-out); chaos: workbook vs ERP divergence",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 18:20**\n\nCESP February close is stuck. Which subledger isn't tying, by how much, and who owns that task?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 128500.0,
+          "field": "erp_ar_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 80500.0,
+          "field": "erp_ap_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "AP"
+          ],
+          "field": "unreconciled_subledger",
+          "type": "contains_all"
+        },
+        {
+          "expect": 2500.0,
+          "field": "variance_amount",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "jordan"
+          ],
+          "field": "blocking_task_owner",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-022-subledger-tieout-feb-esc-burie-quiet",
+  "task_name": "close_mgmt/subledger-tieout-feb-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-023-escalate-sparrow-letter3.json b/tasks/lgr100-023-escalate-sparrow-letter3.json
new file mode 100644
index 0000000000000000000000000000000000000000..39c0f2436e8bc2dc12f3583532f7f0680a40694b
--- /dev/null
+++ b/tasks/lgr100-023-escalate-sparrow-letter3.json
@@ -0,0 +1,150 @@
+{
+  "context_files": [
+    "task_files/lgr100-023-escalate-sparrow-letter3/documents/policy--collections-dunning-runbook.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 1,
+        "name": "letter3_posted_today",
+        "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008' AND letter_code='3' AND letter_date='2026-03-02' AND status='Sent'",
+        "type": "row_count"
+      },
+      {
+        "expect": 3,
+        "name": "no_duplicate_letters",
+        "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008'",
+        "type": "row_count"
+      },
+      {
+        "expect": 40.0,
+        "name": "letter3_fee",
+        "sql": "SELECT fee FROM erp_collection_letters WHERE account='US-008' AND letter_code='3'",
+        "tol_abs": 0.01,
+        "type": "cell_equals"
+      },
+      {
+        "expect": "Open",
+        "name": "no_credit_hold",
+        "sql": "SELECT on_hold FROM erp_customers WHERE account='US-008'",
+        "type": "cell_equals"
+      }
+    ],
+    "submit_answer": {
+      "credit_hold_placed": "no",
+      "letter_fee": 40.0,
+      "letter_issued": "3",
+      "reasoning": "Letter 2 was sent 14 days ago and SPINV-002 remains unpaid, so letter 3 posts with its $40 fee; the oldest past-due item is at 47 days, below the ~75-day credit-hold threshold, so no hold yet."
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "collections_ops",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-023-escalate-sparrow-letter3",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "wave-2 writes on the D365 hold/letter machinery (research/finance-agent-workflows.md wf#10); dunning ladder AR-SOP-003",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 09:00**\n\nSparrow Retail's review is due today. Take whatever action the runbook calls for at their position — nothing more — and tell me what you did and why.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "3"
+          ],
+          "field": "letter_issued",
+          "type": "contains_all"
+        },
+        {
+          "expect": 40.0,
+          "field": "letter_fee",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": "no",
+          "field": "credit_hold_placed",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "75"
+          ],
+          "field": "reasoning",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers",
+            "erp_collection_letters"
+          ],
+          "type": "writes_only"
+        },
+        {
+          "expect": 1,
+          "name": "letter3_posted_today",
+          "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008' AND letter_code='3' AND letter_date='2026-03-02' AND status='Sent'",
+          "type": "row_count"
+        },
+        {
+          "expect": 3,
+          "name": "no_duplicate_letters",
+          "sql": "SELECT COUNT(*) FROM erp_collection_letters WHERE account='US-008'",
+          "type": "row_count"
+        },
+        {
+          "expect": 40.0,
+          "name": "letter3_fee",
+          "sql": "SELECT fee FROM erp_collection_letters WHERE account='US-008' AND letter_code='3'",
+          "tol_abs": 0.01,
+          "type": "cell_equals"
+        },
+        {
+          "expect": "Open",
+          "name": "no_credit_hold",
+          "sql": "SELECT on_hold FROM erp_customers WHERE account='US-008'",
+          "type": "cell_equals"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-023-escalate-sparrow-letter3",
+  "task_name": "collections_ops/escalate-sparrow-letter3",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-024-email-invoice-meadow.json b/tasks/lgr100-024-email-invoice-meadow.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c90835e39813438177960a2c5571318acc537a1
--- /dev/null
+++ b/tasks/lgr100-024-email-invoice-meadow.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "evidence_source": "email attachment (shared AP/AR mailbox), corroborated by the manual invoice log spreadsheet",
+      "found_in_erp": "no",
+      "invoice_number": "INV-2026-047",
+      "outstanding_amount": 18750.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "cross_system",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-024-email-invoice-meadow",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "novel: chaos patterns 'invoices existing only in email' (68% manual keying) + 'Excel-only manual log' (research/domain-workflows.md §3)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 08:05**\n\nDid we ever invoice Meadow Analytics for the February executive workshop? They're a new client and I can't find them. What's outstanding from them?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": "no",
+          "field": "found_in_erp",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "INV-2026-047"
+          ],
+          "field": "invoice_number",
+          "type": "contains_all"
+        },
+        {
+          "expect": 18750.0,
+          "field": "outstanding_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "mail"
+          ],
+          "field": "evidence_source",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-024-email-invoice-meadow",
+  "task_name": "cross_system/email-invoice-meadow",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-025-email-invoice-meadow-esc-burie-quiet.json b/tasks/lgr100-025-email-invoice-meadow-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..f6852bd70b0bfde509cabc05271d61dfb970ab03
--- /dev/null
+++ b/tasks/lgr100-025-email-invoice-meadow-esc-burie-quiet.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "evidence_source": "email attachment (shared AP/AR mailbox), corroborated by the manual invoice log spreadsheet",
+      "found_in_erp": "no",
+      "invoice_number": "INV-2026-047",
+      "outstanding_amount": 18750.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "cross_system",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-025-email-invoice-meadow-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of cross_system/email-invoice-meadow via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: novel: chaos patterns 'invoices existing only in email' (68% manual keying) + 'Excel-only manual log' (research/domain-workflows.md §3)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 08:05**\n\nDid we ever invoice Meadow Analytics for the February executive workshop? They're a new client and I can't find them. What's outstanding from them?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": "no",
+          "field": "found_in_erp",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "INV-2026-047"
+          ],
+          "field": "invoice_number",
+          "type": "contains_all"
+        },
+        {
+          "expect": 18750.0,
+          "field": "outstanding_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "mail"
+          ],
+          "field": "evidence_source",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-025-email-invoice-meadow-esc-burie-quiet",
+  "task_name": "cross_system/email-invoice-meadow-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-026-intercompany-tieout-feb.json b/tasks/lgr100-026-intercompany-tieout-feb.json
new file mode 100644
index 0000000000000000000000000000000000000000..1ed9f6d5e49ae675404ab3ac26f735d08b422471
--- /dev/null
+++ b/tasks/lgr100-026-intercompany-tieout-feb.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "difference": 22500.0,
+      "difference_cause": "ICINV-03 ($22,500) — received by the subsidiary 2026-03-01 but not yet booked (in transit)",
+      "parent_ar_balance": 76500.0,
+      "sub_recorded_balance": 54000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "cross_system",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-026-intercompany-tieout-feb",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#7; chaos primitive: system A learned the truth before system B",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 17:02**\n\nIntercompany with CES Direct for February. What do we say they owe, what do they say, and what's behind any difference?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 76500.0,
+          "field": "parent_ar_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 54000.0,
+          "field": "sub_recorded_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 22500.0,
+          "field": "difference",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "ICINV-03"
+          ],
+          "field": "difference_cause",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-026-intercompany-tieout-feb",
+  "task_name": "cross_system/intercompany-tieout-feb",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-027-intercompany-tieout-feb-esc-burie-quiet.json b/tasks/lgr100-027-intercompany-tieout-feb-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..7cbb77164fcc5d8fa12862d3f7e339e5d6def2c5
--- /dev/null
+++ b/tasks/lgr100-027-intercompany-tieout-feb-esc-burie-quiet.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "difference": 22500.0,
+      "difference_cause": "ICINV-03 ($22,500) — received by the subsidiary 2026-03-01 but not yet booked (in transit)",
+      "parent_ar_balance": 76500.0,
+      "sub_recorded_balance": 54000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "cross_system",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-027-intercompany-tieout-feb-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of cross_system/intercompany-tieout-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#7; chaos primitive: system A learned the truth before system B",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 17:02**\n\nIntercompany with CES Direct for February. What do we say they owe, what do they say, and what's behind any difference?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 76500.0,
+          "field": "parent_ar_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 54000.0,
+          "field": "sub_recorded_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 22500.0,
+          "field": "difference",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "ICINV-03"
+          ],
+          "field": "difference_cause",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-027-intercompany-tieout-feb-esc-burie-quiet",
+  "task_name": "cross_system/intercompany-tieout-feb-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-028-total-ar-adventure-group.json b/tasks/lgr100-028-total-ar-adventure-group.json
new file mode 100644
index 0000000000000000000000000000000000000000..d9af409ff710668f7d39bcaf8c1c4105f357e8b6
--- /dev/null
+++ b/tasks/lgr100-028-total-ar-adventure-group.json
@@ -0,0 +1,89 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "combined_exposure": 113799.19,
+      "erp_open_balance": 94749.19,
+      "subsidiary_net_balance": 19050.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "cross_system",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-028-total-ar-adventure-group",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "novel: data-chaos pattern 'subsidiary AR lives outside the ERP' (research/domain-workflows.md §3); FB has no cross-system tasks",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "books",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 10:41**\n\nAdventure Works — what's our total exposure to them across the group? Treasury wants one number they can defend.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 94749.19,
+          "field": "erp_open_balance",
+          "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 19050.0,
+          "field": "subsidiary_net_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 113799.19,
+          "field": "combined_exposure",
+          "tol_abs": 0.04,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "books"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-028-total-ar-adventure-group",
+  "task_name": "cross_system/total-ar-adventure-group",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-029-total-ar-adventure-group-v2.json b/tasks/lgr100-029-total-ar-adventure-group-v2.json
new file mode 100644
index 0000000000000000000000000000000000000000..ae039ca224c07f88a9a01e317b6aaabed2a1c0e6
--- /dev/null
+++ b/tasks/lgr100-029-total-ar-adventure-group-v2.json
@@ -0,0 +1,104 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "combined_exposure": 119999.19,
+      "erp_open_balance": 94749.19,
+      "offbook_invoice_amount": 6200.0,
+      "subsidiary_net_balance": 19050.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "harder",
+    "family": "cross_system",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-029-total-ar-adventure-group-v2",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "grow: escalated from cross_system/total-ar-adventure-group (haiku passed 2/2 -> too_easy). Escalations: +sheet-only side invoice (email-corroborated), +stale AR-summary distractor that must be ignored, walk 6->10.",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "books",
+      "email",
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 10:41**\n\nAdventure Works — total group exposure, one defensible number. Dana mentioned paperwork floating around from the CES cutover, so make sure nothing's missed or double-counted, and don't trust every file on the drive.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 94749.19,
+          "field": "erp_open_balance",
+          "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 19050.0,
+          "field": "subsidiary_net_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 6200.0,
+          "field": "offbook_invoice_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 119999.19,
+          "field": "combined_exposure",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "books",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "books",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-029-total-ar-adventure-group-v2",
+  "task_name": "cross_system/total-ar-adventure-group-v2",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-030-tracker-formula-drift.json b/tasks/lgr100-030-tracker-formula-drift.json
new file mode 100644
index 0000000000000000000000000000000000000000..07455858e8138de02e456577bbc49a71fa2f28a0
--- /dev/null
+++ b/tasks/lgr100-030-tracker-formula-drift.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "erp_live_total": 127450.0,
+      "stale_customers": "Tailwind Bikes, Ostara Labs",
+      "tracker_cached_total": 118400.0,
+      "tracker_rows_sum": 228138.01
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "cross_system",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-030-tracker-formula-drift",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "chaos patterns 'spreadsheet version drift' + '1 in 3 CFOs distrust close data' (research/domain-workflows.md §3); enabled by sheets formula-cell support (Graph serves cached values, like real Excel)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "erp",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 08:31**\n\nThe CFO quoted a watchlist number this morning and Casey says it feels low. Can you check it before I reply to him? Tell me what the number should be.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 118400.0,
+          "field": "tracker_cached_total",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 228138.01,
+          "field": "tracker_rows_sum",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 127450.0,
+          "field": "erp_live_total",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "tailwind",
+            "ostara"
+          ],
+          "field": "stale_customers",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "sheets"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-030-tracker-formula-drift",
+  "task_name": "cross_system/tracker-formula-drift",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-031-ap-overdue-usmf.json b/tasks/lgr100-031-ap-overdue-usmf.json
new file mode 100644
index 0000000000000000000000000000000000000000..b94966b0446e630c2a55d8f7c96e0bc561d42762
--- /dev/null
+++ b/tasks/lgr100-031-ap-overdue-usmf.json
@@ -0,0 +1,81 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "as_of_date": "2026-03-02",
+      "total_overdue_ap": 30616849.18
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-031-ap-overdue-usmf",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark:erp_qa/AP Overdue (user-brief example; GT computed in-world)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 08:52**\n\nCash call at 11. How much of our AP in USMF is actually overdue as of today? I need the number, not a range.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 30616849.18,
+          "field": "total_overdue_ap",
+          "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date<'2026-03-02'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "2026-03-02"
+          ],
+          "field": "as_of_date",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-031-ap-overdue-usmf",
+  "task_name": "erp_qa/ap-overdue-usmf",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-032-ar-balance-fourthcoffee-east.json b/tasks/lgr100-032-ar-balance-fourthcoffee-east.json
new file mode 100644
index 0000000000000000000000000000000000000000..89363618c974fbd5af948bce51d23d4b66ba8115
--- /dev/null
+++ b/tasks/lgr100-032-ar-balance-fourthcoffee-east.json
@@ -0,0 +1,94 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "customer_account": "SYNCUS-0069",
+      "open_invoice_count": 4,
+      "outstanding_balance": 121321.26
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-032-ar-balance-fourthcoffee-east",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark:erp_qa/Customer Balance (user-brief example rephrased onto in-world entity)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 09:14**\n\nFourth Coffee East just called about their account. What are we carrying on them right now?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "SYNCUS-0069"
+          ],
+          "field": "customer_account",
+          "type": "contains_all"
+        },
+        {
+          "expect": 121321.26,
+          "field": "outstanding_balance",
+          "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 4,
+          "field": "open_invoice_count",
+          "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0",
+          "tol_abs": 0,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-032-ar-balance-fourthcoffee-east",
+  "task_name": "erp_qa/ar-balance-fourthcoffee-east",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet.json b/tasks/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..032c700446f9e6fd8584e6ac776ee38ef4ed7415
--- /dev/null
+++ b/tasks/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet.json
@@ -0,0 +1,94 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "customer_account": "SYNCUS-0069",
+      "open_invoice_count": 4,
+      "outstanding_balance": 121321.26
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of erp_qa/ar-balance-fourthcoffee-east via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Customer Balance (user-brief example rephrased onto in-world entity)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 09:14**\n\nFourth Coffee East just called about their account. What are we carrying on them right now?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "SYNCUS-0069"
+          ],
+          "field": "customer_account",
+          "type": "contains_all"
+        },
+        {
+          "expect": 121321.26,
+          "field": "outstanding_balance",
+          "gt_sql": "SELECT ROUND(SUM(amount-settled),2) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 4,
+          "field": "open_invoice_count",
+          "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0",
+          "tol_abs": 0,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet",
+  "task_name": "erp_qa/ar-balance-fourthcoffee-east-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-034-cash-disc-fourthcoffee-east.json b/tasks/lgr100-034-cash-disc-fourthcoffee-east.json
new file mode 100644
index 0000000000000000000000000000000000000000..4bc8473fee02bfe1c43de4c894cb44fc8348206a
--- /dev/null
+++ b/tasks/lgr100-034-cash-disc-fourthcoffee-east.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [
+    "task_files/lgr100-034-cash-disc-fourthcoffee-east/documents/policy--cash-discount-capture.md",
+    "task_files/lgr100-034-cash-disc-fourthcoffee-east/inputs/statement-fourthcoffee-east-2026-02.csv"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "has_active_discount": "yes",
+      "potential_discount_usd": 437.11,
+      "qualifying_invoices": "VINV-900001, VINV-900002"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-034-cash-disc-fourthcoffee-east",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark:erp_qa/Cash Discount + domain-workflows discount-capture runbook",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 08:20**\n\nFourth Coffee East's AR desk says we're leaving early-payment money on the table. Are we? If so, what can we still capture if I pay today?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": "yes",
+          "field": "has_active_discount",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "VINV-900001",
+            "VINV-900002"
+          ],
+          "field": "qualifying_invoices",
+          "type": "contains_all"
+        },
+        {
+          "expect": 437.11,
+          "field": "potential_discount_usd",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-034-cash-disc-fourthcoffee-east",
+  "task_name": "erp_qa/cash-disc-fourthcoffee-east",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet.json b/tasks/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec6c651924ef82969c24e0386085de0e8fb98d03
--- /dev/null
+++ b/tasks/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [
+    "task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/documents/policy--cash-discount-capture.md",
+    "task_files/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet/inputs/statement-fourthcoffee-east-2026-02.csv"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "has_active_discount": "yes",
+      "potential_discount_usd": 437.11,
+      "qualifying_invoices": "VINV-900001, VINV-900002"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of erp_qa/cash-disc-fourthcoffee-east via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Cash Discount + domain-workflows discount-capture runbook",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 08:20**\n\nFourth Coffee East's AR desk says we're leaving early-payment money on the table. Are we? If so, what can we still capture if I pay today?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": "yes",
+          "field": "has_active_discount",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "VINV-900001",
+            "VINV-900002"
+          ],
+          "field": "qualifying_invoices",
+          "type": "contains_all"
+        },
+        {
+          "expect": 437.11,
+          "field": "potential_discount_usd",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet",
+  "task_name": "erp_qa/cash-disc-fourthcoffee-east-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-036-collections-sparrow.json b/tasks/lgr100-036-collections-sparrow.json
new file mode 100644
index 0000000000000000000000000000000000000000..2204e62548510505d063b18f5d099600f720f8ce
--- /dev/null
+++ b/tasks/lgr100-036-collections-sparrow.json
@@ -0,0 +1,103 @@
+{
+  "context_files": [
+    "task_files/lgr100-036-collections-sparrow/documents/policy--collections-dunning-runbook.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "collection_letter_level": "2",
+      "last_payment_amount": 22400.0,
+      "last_payment_date": "2026-02-20",
+      "open_balance": 28450.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-036-collections-sparrow",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark:erp_qa/Collection Letters + Payment History; customer injected by task seed (Contoso demo US-008)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 16:40**\n\nSparrow Retail is on tomorrow's agenda. Where are we with them, and have they paid us anything lately?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "2"
+          ],
+          "field": "collection_letter_level",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2026-02-20"
+          ],
+          "field": "last_payment_date",
+          "type": "contains_all"
+        },
+        {
+          "expect": 22400.0,
+          "field": "last_payment_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 28450.0,
+          "field": "open_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-036-collections-sparrow",
+  "task_name": "erp_qa/collections-sparrow",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-037-collections-sparrow-esc-burie-quiet.json b/tasks/lgr100-037-collections-sparrow-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..c81d834cb653f6bee48f183655af7f6d463079bd
--- /dev/null
+++ b/tasks/lgr100-037-collections-sparrow-esc-burie-quiet.json
@@ -0,0 +1,103 @@
+{
+  "context_files": [
+    "task_files/lgr100-037-collections-sparrow-esc-burie-quiet/documents/policy--collections-dunning-runbook.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "collection_letter_level": "2",
+      "last_payment_amount": 22400.0,
+      "last_payment_date": "2026-02-20",
+      "open_balance": 28450.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-037-collections-sparrow-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of erp_qa/collections-sparrow via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Collection Letters + Payment History; customer injected by task seed (Contoso demo US-008)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 16:40**\n\nSparrow Retail is on tomorrow's agenda. Where are we with them, and have they paid us anything lately?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "2"
+          ],
+          "field": "collection_letter_level",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2026-02-20"
+          ],
+          "field": "last_payment_date",
+          "type": "contains_all"
+        },
+        {
+          "expect": 22400.0,
+          "field": "last_payment_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 28450.0,
+          "field": "open_balance",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-037-collections-sparrow-esc-burie-quiet",
+  "task_name": "erp_qa/collections-sparrow-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-038-credit-limit-adatum.json b/tasks/lgr100-038-credit-limit-adatum.json
new file mode 100644
index 0000000000000000000000000000000000000000..02c0c7af24cfa210bdac75fbe205f833bb4bdd97
--- /dev/null
+++ b/tasks/lgr100-038-credit-limit-adatum.json
@@ -0,0 +1,80 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "credit_limit": 25000,
+      "customer_name": "A. Datum Corporation"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "easy",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-038-credit-limit-adatum",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark:erp_qa/Credit Limit (query verbatim; GT recomputed in-world)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 10:02**\n\nSales wants to push an order through for SYNCUS-0001. What's their limit?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 25000,
+          "field": "credit_limit",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "datum"
+          ],
+          "field": "customer_name",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-038-credit-limit-adatum",
+  "task_name": "erp_qa/credit-limit-adatum",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-039-credit-limit-adatum-esc-burie-quiet.json b/tasks/lgr100-039-credit-limit-adatum-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..32bdf77e95655054a2469f9db4d8c624b518f930
--- /dev/null
+++ b/tasks/lgr100-039-credit-limit-adatum-esc-burie-quiet.json
@@ -0,0 +1,80 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "credit_limit": 25000,
+      "customer_name": "A. Datum Corporation"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "easy",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-039-credit-limit-adatum-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of erp_qa/credit-limit-adatum via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:erp_qa/Credit Limit (query verbatim; GT recomputed in-world)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 10:02**\n\nSales wants to push an order through for SYNCUS-0001. What's their limit?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 25000,
+          "field": "credit_limit",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "datum"
+          ],
+          "field": "customer_name",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-039-credit-limit-adatum-esc-burie-quiet",
+  "task_name": "erp_qa/credit-limit-adatum-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-040-due-next-week-adventure.json b/tasks/lgr100-040-due-next-week-adventure.json
new file mode 100644
index 0000000000000000000000000000000000000000..694845039ed7fdf9320fe574f76b4ffb19645f71
--- /dev/null
+++ b/tasks/lgr100-040-due-next-week-adventure.json
@@ -0,0 +1,78 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "invoice_count": 0,
+      "invoice_numbers": "none"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-040-due-next-week-adventure",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark pattern: deliberately-empty ground truths (hallucination traps)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 09:30**\n\nBuilding next week's call list. Anything of Adventure Works Cycles' (SYNCUS-0002) falling due in the next seven days?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 0,
+          "field": "invoice_count",
+          "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0 AND due_date>'2026-03-02' AND due_date<='2026-03-09'",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "field": "invoice_numbers",
+          "type": "none_answer"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-040-due-next-week-adventure",
+  "task_name": "erp_qa/due-next-week-adventure",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-041-due-next-week-adventure-esc-burie-quiet.json b/tasks/lgr100-041-due-next-week-adventure-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..80dd846cc17d15851b98ca52916fbfdfd59b4f05
--- /dev/null
+++ b/tasks/lgr100-041-due-next-week-adventure-esc-burie-quiet.json
@@ -0,0 +1,78 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "invoice_count": 0,
+      "invoice_numbers": "none"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-041-due-next-week-adventure-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of erp_qa/due-next-week-adventure via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark pattern: deliberately-empty ground truths (hallucination traps)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams 09:30**\n\nBuilding next week's call list. Anything of Adventure Works Cycles' (SYNCUS-0002) falling due in the next seven days?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 0,
+          "field": "invoice_count",
+          "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0 AND due_date>'2026-03-02' AND due_date<='2026-03-09'",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "field": "invoice_numbers",
+          "type": "none_answer"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-041-due-next-week-adventure-esc-burie-quiet",
+  "task_name": "erp_qa/due-next-week-adventure-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-042-aged-balance-12.json b/tasks/lgr100-042-aged-balance-12.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ebbcbffe2e0d7040557a7f625796f4eefd98342
--- /dev/null
+++ b/tasks/lgr100-042-aged-balance-12.json
@@ -0,0 +1,105 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "current_not_due": 5817896.81,
+      "days_1_30": 3917195.87,
+      "days_31_60": 2314492.37,
+      "days_61_90": 2499959.29,
+      "days_over_90": 16369769.19
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-042-aged-balance-12",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nWhat is the total balance of unpaid transactions for all customers by aging bucket within USMF as of March 2, 2026?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 5817896.81,
+          "field": "current_not_due",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) <= 0",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 3917195.87,
+          "field": "days_1_30",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 0 AND julianday('2026-03-02') - julianday(due_date) <= 30",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 2314492.37,
+          "field": "days_31_60",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 30 AND julianday('2026-03-02') - julianday(due_date) <= 60",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 2499959.29,
+          "field": "days_61_90",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 60 AND julianday('2026-03-02') - julianday(due_date) <= 90",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 16369769.19,
+          "field": "days_over_90",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 90",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-042-aged-balance-12",
+  "task_name": "erp_qa_fb/aged-balance-12",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-043-aged-balance-6.json b/tasks/lgr100-043-aged-balance-6.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ec5a2f893ed0ba17d6e0ef55990ae4c1f2c70c1
--- /dev/null
+++ b/tasks/lgr100-043-aged-balance-6.json
@@ -0,0 +1,87 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "not_yet_due": 376.41,
+      "over_90_days": 0.0,
+      "total_past_due": 1084.11
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-043-aged-balance-6",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nCould you provide the breakdown of overdue receivables for Birch Company in USMF as of March 2, 2026?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 1084.11,
+          "field": "total_past_due",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE account IN ('US-027') AND txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 0",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 376.41,
+          "field": "not_yet_due",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 0.0,
+          "field": "over_90_days",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-043-aged-balance-6",
+  "task_name": "erp_qa_fb/aged-balance-6",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-044-aged-balance-7.json b/tasks/lgr100-044-aged-balance-7.json
new file mode 100644
index 0000000000000000000000000000000000000000..0bb8bea3fdf8153eaf36b4c17cd47e2a2c33dc7a
--- /dev/null
+++ b/tasks/lgr100-044-aged-balance-7.json
@@ -0,0 +1,81 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "invoice_count": 434,
+      "past_due_180_plus_total": 9903381.01
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-044-aged-balance-7",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nWhat is the total balance of unpaid customer receivables transactions for 180+ days in USMF as of March 2, 2026\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 434,
+          "field": "invoice_count",
+          "gt_sql": "SELECT COUNT(*) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 180",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 9903381.01,
+          "field": "past_due_180_plus_total",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 180",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-044-aged-balance-7",
+  "task_name": "erp_qa_fb/aged-balance-7",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-045-aged-balance-8.json b/tasks/lgr100-045-aged-balance-8.json
new file mode 100644
index 0000000000000000000000000000000000000000..81cf064d3e5745c792efb095d4d44b18bfd8d8f3
--- /dev/null
+++ b/tasks/lgr100-045-aged-balance-8.json
@@ -0,0 +1,87 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "not_yet_due": 376.41,
+      "over_90_days": 0.0,
+      "total_past_due": 1084.11
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-045-aged-balance-8",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark erp_qa (AR / Aged Balance); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Casey Morgan · AR & Collections · Teams**\n\nWhat is the aged balance for Birch Company in USMF as of March 2, 2026?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 1084.11,
+          "field": "total_past_due",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE account IN ('US-027') AND txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 0",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 376.41,
+          "field": "not_yet_due",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 0.0,
+          "field": "over_90_days",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-045-aged-balance-8",
+  "task_name": "erp_qa_fb/aged-balance-8",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-046-ap-invoices-3.json b/tasks/lgr100-046-ap-invoices-3.json
new file mode 100644
index 0000000000000000000000000000000000000000..76c8b3849f6de526a95e3c2572962f43f56bd06c
--- /dev/null
+++ b/tasks/lgr100-046-ap-invoices-3.json
@@ -0,0 +1,81 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "invoices_due_this_week_count": 58,
+      "invoices_due_this_week_total": 1540586.74
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erp_qa_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-046-ap-invoices-3",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark erp_qa (AP / AP Invoices); question verbatim, ground truth recomputed in-world (docs/AUDIT.md A3)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams**\n\nWhich vendor invoices are due for payment this week in USMF?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 58,
+          "field": "invoices_due_this_week_count",
+          "gt_sql": "SELECT COUNT(*) FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date BETWEEN '2026-03-02' AND '2026-03-08'",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 1540586.74,
+          "field": "invoices_due_this_week_total",
+          "gt_sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date BETWEEN '2026-03-02' AND '2026-03-08'",
+          "tol_abs": 0.02,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-046-ap-invoices-3",
+  "task_name": "erp_qa_fb/ap-invoices-3",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned.json b/tasks/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..116da2ea471341bd1442f0f499522be1a9be83e7
--- /dev/null
+++ b/tasks/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 638,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 1595,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 282,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2771.11)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 664198.04,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 6862.0,
+      "orders_accepted": 29,
+      "orders_rejected": 0,
+      "units_manufactured": 282,
+      "units_purchased": 1595
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2141_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 94,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nEnsure all these Portable Power Station 3kWh customer orders are supplied on schedule:\n\n- Solace Collective: 19 units due in 8 days (pretax budget cap $55,306)\n- Stonewall Research: 22 units due in 8 days (pretax budget cap $67,564)\n- Canton Trust: 22 units due in 8 days (pretax budget cap $65,613)\n- Clearwater Productions: 18 units due in 8 days (pretax budget cap $51,374)\n- Cobalt Innovations: 19 units due in 8 days (pretax budget cap $56,217)\n- Polar Cooperative: 20 units due in 8 days (pretax budget cap $61,053)\n- Marble Interactive: 32 units due in 9 days (pretax budget cap $95,218)\n- Sapphire Boutique: 19 units due in 9 days (pretax budget cap $56,037)\n- Lance Consortium: 18 units due in 9 days (pretax budget cap $51,002)\n- Noble Initiative: 18 units due in 9 days (pretax budget cap $50,942)\n- Crown Pictures: 18 units due in 9 days (pretax budget cap $53,056)\n- Lakewood Refinery: 19 units due in 9 days (pretax budget cap $58,253)\n- Haven Studios North: 25 units due in 9 days (pretax budget cap $76,512)\n- Bridgeway Chambers: 20 units due in 10 days (pretax budget cap $61,820)\n- Cardinal Dynamics: 32 units due in 10 days (pretax budget cap $98,260)\n- Oakmont Foundry: 21 units due in 11 days (pretax budget cap $59,760)\n- Catalyst Bureau: 25 units due in 11 days (pretax budget cap $71,903)\n- Alpine Theater: 18 units due in 11 days (pretax budget cap $53,484)\n- Lattice Technologies: 19 units due in 11 days (pretax budget cap $53,913)\n- Horizon Publishing: 22 units due in 11 days (pretax budget cap $66,084)\n- Globe Conservatory: 19 units due in 11 days (pretax budget cap $58,412)\n- Ironwood Forum: 31 units due in 12 days (pretax budget cap $96,027)\n- Brookfield Robotics: 23 units due in 12 days (pretax budget cap $68,639)\n- Ridgeline Sciences: 19 units due in 12 days (pretax budget cap $58,583)\n- Blaze Alliance: 25 units due in 13 days (pretax budget cap $73,118)\n- Meridian Atelier: 24 units due in 13 days (pretax budget cap $69,836)\n- Compass Institute: 19 units due in 13 days (pretax budget cap $58,252)\n- Steel Outfitters: 32 units due in 13 days (pretax budget cap $95,959)\n- Trellis Workshop: 20 units due in 13 days (pretax budget cap $59,420)\n\nCurrent finished-goods stock is 256 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 29.2% at selling price.\n\n## Background & Policy\n\n* Fulfill all customer orders while preserving as much shared workcenter capacity as possible for other scheduled work. If more than one feasible plan uses the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 29.2% new-spend margin at selling price.\n* Available finished stock can be used where it helps keep shared workcenter capacity open.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Before releasing anything, read the Internal Notes/comments on stock, customers, vendors, and workcenters.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 6862.0,
+          "field": "assembly_cost",
+          "tol_abs": 34.31,
+          "type": "number"
+        },
+        {
+          "expect": 29,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 1595,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 282,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 638,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 1595,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 282,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2771.11)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 664198.04,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned",
+  "task_name": "erpbench/2141-hard-15-parallel-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned.json b/tasks/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..66d902eb778c9cfa126c6259c52a1d9f42874113
--- /dev/null
+++ b/tasks/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 480,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 3202,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 753,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5368.26)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 225259.64,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 18323.0,
+      "orders_accepted": 24,
+      "orders_rejected": 0,
+      "units_manufactured": 753,
+      "units_purchased": 3202
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2143_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 98,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nAll orders below for LFP Energy Storage Module 51.2V need confirmed supply coverage and scheduling.\n\n- Ashford Ventures: 18 units due in 8 days (pretax budget cap $105,479)\n- Spark Architects: 18 units due in 8 days (pretax budget cap $106,836)\n- Cipher Partners: 20 units due in 8 days (pretax budget cap $116,691)\n- Spectra Agency: 19 units due in 8 days (pretax budget cap $104,471)\n- Nexus Pictures: 21 units due in 8 days (pretax budget cap $117,741)\n- Arbor Group: 19 units due in 9 days (pretax budget cap $107,214)\n- Monarch Designs: 18 units due in 9 days (pretax budget cap $100,637)\n- Meridian Exchange: 21 units due in 9 days (pretax budget cap $123,501)\n- Summit Advisory: 18 units due in 9 days (pretax budget cap $106,895)\n- Raven Workspaces: 19 units due in 10 days (pretax budget cap $113,369)\n- Metro Creative: 18 units due in 10 days (pretax budget cap $105,245)\n- Flux Refinery: 20 units due in 10 days (pretax budget cap $118,815)\n- Zenith Analytics: 19 units due in 10 days (pretax budget cap $106,533)\n- Axis Collective East: 18 units due in 10 days (pretax budget cap $106,262)\n- Sterling Solutions Group: 22 units due in 10 days (pretax budget cap $128,995)\n- Haven Workshop: 32 units due in 11 days (pretax budget cap $177,998)\n- Alpine Hub: 18 units due in 11 days (pretax budget cap $101,263)\n- Anvil Clinics: 19 units due in 11 days (pretax budget cap $110,223)\n- Dune Productions: 18 units due in 11 days (pretax budget cap $101,580)\n- Echo Institute: 21 units due in 12 days (pretax budget cap $121,275)\n- Orbital Society: 25 units due in 12 days (pretax budget cap $141,525)\n- Sapphire Enterprises: 18 units due in 12 days (pretax budget cap $105,679)\n- Matrix Media: 18 units due in 13 days (pretax budget cap $104,802)\n- Stratos Academy: 23 units due in 13 days (pretax budget cap $135,124)\n\nCurrent finished-goods stock is 192 units. Any shortfall can be handled with finished-goods buying, in-house manufacturing, or a mix that still satisfies policy.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 27.1% at selling price.\n\n## Background & Policy\n\n* Cover every customer order while using as little shared workcenter capacity as practical. If multiple feasible plans use the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 27.1% new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 18323.0,
+          "field": "assembly_cost",
+          "tol_abs": 91.615,
+          "type": "number"
+        },
+        {
+          "expect": 24,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 3202,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 753,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 480,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 3202,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 753,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5368.26)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 225259.64,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned",
+  "task_name": "erpbench/2143-hard-15-parallel-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned.json b/tasks/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..14eb2234bd2cdfbf11b499cc1b84ac2a6aed6c2a
--- /dev/null
+++ b/tasks/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 520,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 2841,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 408,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2860.79)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 431224.32,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 9928.0,
+      "orders_accepted": 26,
+      "orders_rejected": 0,
+      "units_manufactured": 408,
+      "units_purchased": 2841
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2144_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 92,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nAll orders below for Portable Power Station 3kWh need confirmed supply coverage and scheduling.\n\n- Marble Observatory: 19 units due in 8 days (pretax budget cap $58,130)\n- Forge Dynamics: 18 units due in 8 days (pretax budget cap $57,406)\n- Aurora Collective East: 18 units due in 8 days (pretax budget cap $54,431)\n- Ember Arena: 18 units due in 8 days (pretax budget cap $55,690)\n- Crown Works: 21 units due in 8 days (pretax budget cap $65,303)\n- Hartland Theater: 18 units due in 8 days (pretax budget cap $55,782)\n- Haven Productions: 19 units due in 8 days (pretax budget cap $57,965)\n- Monarch Reserve: 20 units due in 8 days (pretax budget cap $60,246)\n- Metro Atelier: 24 units due in 9 days (pretax budget cap $76,407)\n- Meridian Publishing: 18 units due in 9 days (pretax budget cap $52,527)\n- Summit Advisory: 21 units due in 9 days (pretax budget cap $63,638)\n- Oxide Studios North: 18 units due in 9 days (pretax budget cap $55,107)\n- Oakmont Workshop: 23 units due in 10 days (pretax budget cap $67,454)\n- Flint Solutions Group: 20 units due in 10 days (pretax budget cap $64,080)\n- Helix Studios West: 27 units due in 10 days (pretax budget cap $79,359)\n- Sterling Pavilion: 19 units due in 11 days (pretax budget cap $56,080)\n- Quantum Architects: 18 units due in 11 days (pretax budget cap $54,496)\n- Cardinal Trading Co: 18 units due in 11 days (pretax budget cap $53,629)\n- Aegis Society: 22 units due in 11 days (pretax budget cap $68,840)\n- Ironside Alliance: 20 units due in 12 days (pretax budget cap $63,101)\n- Northbridge Manufactory: 21 units due in 12 days (pretax budget cap $64,478)\n- Crest Sciences: 18 units due in 13 days (pretax budget cap $54,838)\n- Baltic Consortium: 23 units due in 13 days (pretax budget cap $67,443)\n- Trident Technologies: 21 units due in 13 days (pretax budget cap $62,643)\n- Axis Partners: 19 units due in 13 days (pretax budget cap $57,175)\n- Scion Museum: 19 units due in 13 days (pretax budget cap $56,782)\n\nOn-hand finished stock covers 208 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 26.9% at selling price.\n\n## Background & Policy\n\n* Fulfill all customer orders while preserving as much shared workcenter capacity as possible for other scheduled work. If more than one feasible plan uses the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* The combined units covered through new purchasing or manufacturing must clear at least 26.9% portfolio-level new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Check Internal Notes/comments on stock, customers, vendors, and workcenters before you release anything.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 9928.0,
+          "field": "assembly_cost",
+          "tol_abs": 49.64,
+          "type": "number"
+        },
+        {
+          "expect": 26,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 2841,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 408,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 520,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 2841,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 408,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-2860.79)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 431224.32,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned",
+  "task_name": "erpbench/2144-hard-15-parallel-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned.json b/tasks/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..d134dda3b20e694155be557a3e55bb897e40d3d9
--- /dev/null
+++ b/tasks/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 690,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 4752,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 597,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-16199.21)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 2566256.86,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 14527.0,
+      "orders_accepted": 30,
+      "orders_rejected": 0,
+      "units_manufactured": 597,
+      "units_purchased": 4752
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2146_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 104,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nAll orders below for Modular Rack Battery System 20kWh need confirmed supply coverage and scheduling.\n\n- Beacon Arena: 20 units due in 8 days (pretax budget cap $352,056)\n- Dune Enterprises: 19 units due in 8 days (pretax budget cap $327,706)\n- Meridian Advisory: 18 units due in 8 days (pretax budget cap $303,628)\n- Aether Consortium: 20 units due in 8 days (pretax budget cap $359,031)\n- Sierra Clinics: 19 units due in 9 days (pretax budget cap $342,730)\n- Axis Robotics: 20 units due in 9 days (pretax budget cap $359,410)\n- Trident Research: 29 units due in 9 days (pretax budget cap $505,931)\n- Westfield Archive: 18 units due in 9 days (pretax budget cap $314,483)\n- Bridgeway Trading Co: 22 units due in 9 days (pretax budget cap $364,608)\n- Quantum Initiative: 19 units due in 10 days (pretax budget cap $322,719)\n- Catalyst Council: 20 units due in 10 days (pretax budget cap $352,781)\n- Cipher Lyceum: 23 units due in 10 days (pretax budget cap $389,731)\n- Blaze Greenhouse: 19 units due in 10 days (pretax budget cap $328,371)\n- Peak Workspaces: 22 units due in 10 days (pretax budget cap $363,871)\n- Ivory Studios North: 25 units due in 10 days (pretax budget cap $423,873)\n- Hartland Theater: 18 units due in 11 days (pretax budget cap $311,063)\n- Oakmont Society: 28 units due in 11 days (pretax budget cap $482,909)\n- Citadel Studios: 32 units due in 11 days (pretax budget cap $556,306)\n- Grove Bureau: 24 units due in 11 days (pretax budget cap $412,467)\n- Gateway Institute: 31 units due in 11 days (pretax budget cap $519,842)\n- Flux Chambers: 21 units due in 11 days (pretax budget cap $356,602)\n- Arrow Agency: 21 units due in 12 days (pretax budget cap $356,370)\n- Nexus Group: 25 units due in 12 days (pretax budget cap $416,876)\n- Spark Museum: 32 units due in 12 days (pretax budget cap $543,868)\n- Raven Studios West: 25 units due in 12 days (pretax budget cap $424,692)\n- Quartz Pictures: 25 units due in 13 days (pretax budget cap $429,558)\n- Metro Studios South: 20 units due in 13 days (pretax budget cap $334,544)\n- Ridge Workshop: 18 units due in 13 days (pretax budget cap $300,811)\n- Aegis Conservatory: 25 units due in 13 days (pretax budget cap $430,898)\n- Cobalt Pavilion: 32 units due in 13 days (pretax budget cap $529,235)\n\nWe have 276 finished units on hand. If stock is not enough, you can cover the gap by buying finished goods, building in-house, or using a mix of both.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 25% at selling price.\n\n## Background & Policy\n\n* Cover every customer order while using as little shared workcenter capacity as practical. If multiple feasible plans use the same amount of workcenter capacity, keep new purchasing and manufacturing spend as low as possible.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 25% new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Check Internal Notes/comments on stock, customers, vendors, and workcenters before you release anything.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 14527.0,
+          "field": "assembly_cost",
+          "tol_abs": 72.635,
+          "type": "number"
+        },
+        {
+          "expect": 30,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 4752,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 597,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 690,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 4752,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 597,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-16199.21)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 2566256.86,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned",
+  "task_name": "erpbench/2146-hard-15-parallel-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned.json b/tasks/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f16f6dd1ddd9b3e2965c892be9ecb11ef95375b
--- /dev/null
+++ b/tasks/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 775,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 5820,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 624,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5081.48)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 1101367.17,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 15184.0,
+      "orders_accepted": 31,
+      "orders_rejected": 0,
+      "units_manufactured": 624,
+      "units_purchased": 5820
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2147_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 99,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nPrepare a fulfillment strategy for all listed LFP Energy Storage Module 51.2V orders to meet due dates and avoid shortages.\n\n- Metro Greenhouse: 19 units due in 8 days (pretax budget cap $103,396)\n- Velocity Supply Co: 18 units due in 8 days (pretax budget cap $96,004)\n- Cipher Pictures: 18 units due in 8 days (pretax budget cap $94,282)\n- Mosaic Collective East: 27 units due in 9 days (pretax budget cap $152,485)\n- Flux Creative: 32 units due in 9 days (pretax budget cap $170,208)\n- Ember Brands: 28 units due in 9 days (pretax budget cap $153,141)\n- Grove Collective: 18 units due in 9 days (pretax budget cap $96,124)\n- Evergreen Lyceum: 30 units due in 9 days (pretax budget cap $165,761)\n- Ridgeline Solutions Group: 28 units due in 9 days (pretax budget cap $146,640)\n- Quartz Studios: 19 units due in 9 days (pretax budget cap $103,705)\n- Aurora Trading Co: 20 units due in 10 days (pretax budget cap $113,434)\n- Raven Studios East: 18 units due in 10 days (pretax budget cap $101,750)\n- Horizon Agency: 20 units due in 10 days (pretax budget cap $103,718)\n- Ridge Forum: 21 units due in 11 days (pretax budget cap $111,977)\n- Globe Reserve: 26 units due in 11 days (pretax budget cap $136,052)\n- Aether Interactive: 32 units due in 11 days (pretax budget cap $168,986)\n- Atlas Office: 28 units due in 11 days (pretax budget cap $151,150)\n- Matrix Media: 23 units due in 11 days (pretax budget cap $128,934)\n- Stonewall Dynamics: 18 units due in 11 days (pretax budget cap $94,525)\n- Citadel Group: 32 units due in 11 days (pretax budget cap $181,044)\n- Lumen Manufactory: 23 units due in 12 days (pretax budget cap $126,189)\n- Gateway Conservatory: 20 units due in 12 days (pretax budget cap $107,844)\n- Comet Fabricators: 25 units due in 12 days (pretax budget cap $139,441)\n- Steel Analytics: 32 units due in 12 days (pretax budget cap $178,581)\n- Beacon Outfitters: 20 units due in 13 days (pretax budget cap $104,708)\n- Indigo Holdings: 20 units due in 13 days (pretax budget cap $103,868)\n- Monarch Advisory: 32 units due in 13 days (pretax budget cap $178,229)\n- Pinnacle Ventures: 32 units due in 13 days (pretax budget cap $181,485)\n- Apex Pavilion: 32 units due in 13 days (pretax budget cap $170,611)\n- Oxide Museum: 32 units due in 13 days (pretax budget cap $175,796)\n- Catalyst Guild: 32 units due in 13 days (pretax budget cap $168,880)\n\nWe have 310 finished units on hand. Any shortfall can be handled with finished-goods buying, in-house manufacturing, or a mix that still satisfies policy.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 27.4% at selling price.\n\n## Background & Policy\n\n* Get every customer order covered while keeping as much shared workcenter capacity open as possible. Keep new purchasing and manufacturing spend as low as possible when workcenter-capacity use ties.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 27.4% new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Before releasing anything, read the Internal Notes/comments on stock, customers, vendors, and workcenters.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 15184.0,
+          "field": "assembly_cost",
+          "tol_abs": 75.92,
+          "type": "number"
+        },
+        {
+          "expect": 31,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 5820,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 624,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 775,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 5820,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 624,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5081.48)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 1101367.17,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned",
+  "task_name": "erpbench/2147-hard-15-parallel-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned.json b/tasks/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..409b94a4117c67b7cd19d50b1748c009220dc04c
--- /dev/null
+++ b/tasks/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 806,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 2755,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 645,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4284.53)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 841468.02,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 15695.0,
+      "orders_accepted": 31,
+      "orders_rejected": 0,
+      "units_manufactured": 645,
+      "units_purchased": 2755
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2149_hard_15_parallel_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 98,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nThe following customer orders for Solar Storage Battery Wall-Mount require confirmed supply to proceed with fulfillment:\n\n- Globe Media: 18 units due in 8 days (pretax budget cap $84,262)\n- Baseline Bureau: 29 units due in 8 days (pretax budget cap $128,511)\n- Keystone Trading Co: 19 units due in 8 days (pretax budget cap $90,783)\n- Blaze Society: 27 units due in 9 days (pretax budget cap $128,077)\n- Bridgeway Reserve: 21 units due in 9 days (pretax budget cap $99,938)\n- Quantum Atelier: 25 units due in 9 days (pretax budget cap $111,546)\n- Terra Systems: 32 units due in 10 days (pretax budget cap $145,536)\n- Ivory Forum: 24 units due in 10 days (pretax budget cap $114,766)\n- Polar Foundry: 18 units due in 10 days (pretax budget cap $86,070)\n- Mosaic Robotics: 22 units due in 10 days (pretax budget cap $97,604)\n- Pinnacle Guild: 22 units due in 10 days (pretax budget cap $105,497)\n- Trellis Institute: 22 units due in 10 days (pretax budget cap $101,082)\n- Copper Technologies: 19 units due in 11 days (pretax budget cap $86,294)\n- Horizon Studios South: 29 units due in 11 days (pretax budget cap $130,871)\n- Slate Manufactory: 25 units due in 11 days (pretax budget cap $113,789)\n- Indigo Studios East: 20 units due in 11 days (pretax budget cap $94,017)\n- Stonewall Conservatory: 19 units due in 11 days (pretax budget cap $85,194)\n- Oakmont Museum: 18 units due in 11 days (pretax budget cap $78,678)\n- Westfield Innovations: 19 units due in 11 days (pretax budget cap $89,195)\n- Axis Group: 28 units due in 12 days (pretax budget cap $128,546)\n- Skyline Alliance: 32 units due in 12 days (pretax budget cap $143,165)\n- Vertex Architects: 32 units due in 12 days (pretax budget cap $144,488)\n- Marble Greenhouse: 30 units due in 12 days (pretax budget cap $139,936)\n- Lumen Archive: 32 units due in 12 days (pretax budget cap $152,015)\n- Cosmo Designs: 32 units due in 12 days (pretax budget cap $140,371)\n- Dune Hub: 32 units due in 12 days (pretax budget cap $144,744)\n- Pivot Interactive: 32 units due in 12 days (pretax budget cap $142,630)\n- Noble Dynamics: 32 units due in 13 days (pretax budget cap $153,425)\n- Sentinel Analytics: 32 units due in 13 days (pretax budget cap $140,958)\n- Gateway Exchange: 32 units due in 13 days (pretax budget cap $150,107)\n- Echo Advisory: 32 units due in 13 days (pretax budget cap $140,604)\n\nCurrent finished-goods stock is 323 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 26.3% at selling price.\n\n## Background & Policy\n\n* Get every customer order covered while keeping as much shared workcenter capacity open as possible. Keep new purchasing and manufacturing spend as low as possible when workcenter-capacity use ties.\n* The combined units covered through new purchasing or manufacturing must clear at least 26.3% portfolio-level new-spend margin at selling price.\n* Use available finished stock where it helps preserve shared workcenter capacity.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 15695.0,
+          "field": "assembly_cost",
+          "tol_abs": 78.47500000000001,
+          "type": "number"
+        },
+        {
+          "expect": 31,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 2755,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 645,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 806,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 2755,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 645,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4284.53)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 841468.02,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned",
+  "task_name": "erpbench/2149-hard-15-parallel-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned.json b/tasks/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..7aed006b5ceedc4d4323078759ecbc28db40b395
--- /dev/null
+++ b/tasks/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 713,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 1148,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 558,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-3905.52)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 780504.33,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 13578.0,
+      "orders_accepted": 31,
+      "orders_rejected": 0,
+      "units_manufactured": 558,
+      "units_purchased": 1148
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2160_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 91,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nEach customer order below requires a fulfillment-ready supply solution before its delivery due date:\n\n- Garnet Guild: 32 units due in 8 days (pretax budget cap $132,393)\n- Terra Workshop: 21 units due in 8 days (pretax budget cap $91,224)\n- Titan Studios East: 18 units due in 8 days (pretax budget cap $73,335)\n- Eclipse Arena: 22 units due in 8 days (pretax budget cap $93,124)\n- Vantage Trust: 18 units due in 8 days (pretax budget cap $78,142)\n- Sapphire Engineering: 19 units due in 8 days (pretax budget cap $78,343)\n- Sterling Brands: 28 units due in 9 days (pretax budget cap $111,635)\n- Opal Exchange: 20 units due in 9 days (pretax budget cap $86,024)\n- Mosaic Partners: 18 units due in 9 days (pretax budget cap $77,949)\n- Quartz Pavilion: 18 units due in 9 days (pretax budget cap $77,673)\n- Northbridge Sciences: 21 units due in 10 days (pretax budget cap $86,710)\n- Compass Initiative: 29 units due in 10 days (pretax budget cap $120,205)\n- Brookfield Supply Co: 18 units due in 10 days (pretax budget cap $72,756)\n- Onyx Advisory: 29 units due in 10 days (pretax budget cap $126,004)\n- Spectra Workspaces: 19 units due in 11 days (pretax budget cap $80,170)\n- Ashford Consortium: 21 units due in 11 days (pretax budget cap $84,629)\n- Meridian Agency: 19 units due in 11 days (pretax budget cap $80,357)\n- Helix Publishing: 21 units due in 11 days (pretax budget cap $89,157)\n- Iron Research: 21 units due in 12 days (pretax budget cap $86,451)\n- Blaze Collective East: 24 units due in 12 days (pretax budget cap $102,909)\n- Cedar Creative: 18 units due in 12 days (pretax budget cap $76,823)\n- Echo Interactive: 19 units due in 12 days (pretax budget cap $81,671)\n- Nexus Innovations: 19 units due in 12 days (pretax budget cap $79,663)\n- Borough Archive: 32 units due in 12 days (pretax budget cap $138,783)\n- Gateway Greenhouse: 26 units due in 12 days (pretax budget cap $103,838)\n- Nimbus Forum: 27 units due in 12 days (pretax budget cap $116,870)\n- Baseline Conservatory: 21 units due in 12 days (pretax budget cap $88,888)\n- Crest Theater: 22 units due in 13 days (pretax budget cap $96,020)\n- Peak Productions: 29 units due in 13 days (pretax budget cap $116,357)\n- Horizon Designs: 32 units due in 13 days (pretax budget cap $137,250)\n- Ridge Group: 32 units due in 13 days (pretax budget cap $136,365)\n\nCurrent finished-goods stock is 286 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 28.8% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 28.8% new-spend margin at selling price.\n* Finance considers the existing stock as sunk cost.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Check Internal Notes/comments on stock, customers, vendors, and workcenters before you release anything.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 13578.0,
+          "field": "assembly_cost",
+          "tol_abs": 67.89,
+          "type": "number"
+        },
+        {
+          "expect": 31,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 1148,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 558,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 713,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 1148,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 558,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-3905.52)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 780504.33,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned",
+  "task_name": "erpbench/2160-hard-17-shared-component-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned.json b/tasks/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..f9ef642d72a44b38402bf148cd7c6ce1de0ddf9d
--- /dev/null
+++ b/tasks/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 750,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 1052,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 468,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5565.51)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 1437841.98,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 11388.0,
+      "orders_accepted": 30,
+      "orders_rejected": 0,
+      "units_manufactured": 468,
+      "units_purchased": 1052
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2161_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 91,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nThe following customer orders for Dry Pipe Sprinkler System require confirmed supply to proceed with fulfillment:\n\n- Blaze Group: 19 units due in 8 days (pretax budget cap $113,022)\n- Forge Pavilion: 22 units due in 8 days (pretax budget cap $128,379)\n- Spark Arena: 20 units due in 8 days (pretax budget cap $119,848)\n- Matrix Observatory: 30 units due in 8 days (pretax budget cap $174,138)\n- Compass Works: 18 units due in 9 days (pretax budget cap $108,299)\n- Garnet Designs: 19 units due in 9 days (pretax budget cap $113,968)\n- Stonewall Labs: 32 units due in 9 days (pretax budget cap $182,563)\n- Echo Practice: 28 units due in 9 days (pretax budget cap $170,062)\n- Zenith Collective: 24 units due in 9 days (pretax budget cap $140,222)\n- Bayshore Manufactory: 19 units due in 10 days (pretax budget cap $109,360)\n- Cosmo Greenhouse: 32 units due in 11 days (pretax budget cap $194,916)\n- Chrome Interactive: 32 units due in 11 days (pretax budget cap $186,583)\n- Brookfield Gallery: 22 units due in 11 days (pretax budget cap $131,615)\n- Cobalt Archive: 21 units due in 11 days (pretax budget cap $129,146)\n- Drift Academy: 23 units due in 11 days (pretax budget cap $134,155)\n- Marble Systems: 19 units due in 11 days (pretax budget cap $113,553)\n- Evergreen Brands: 32 units due in 11 days (pretax budget cap $195,541)\n- Mosaic Analytics: 32 units due in 11 days (pretax budget cap $185,532)\n- Anvil Trading Co: 18 units due in 11 days (pretax budget cap $105,626)\n- Ledger Ventures: 18 units due in 11 days (pretax budget cap $111,601)\n- Crest Workshop: 22 units due in 12 days (pretax budget cap $132,165)\n- Osprey Dynamics: 19 units due in 12 days (pretax budget cap $110,270)\n- Trident Hub: 18 units due in 12 days (pretax budget cap $109,093)\n- Lakewood Workspaces: 21 units due in 12 days (pretax budget cap $127,574)\n- Metro Fabricators: 30 units due in 12 days (pretax budget cap $172,392)\n- Haven Technologies: 32 units due in 13 days (pretax budget cap $191,841)\n- Titan Reserve: 32 units due in 13 days (pretax budget cap $196,937)\n- Aegis Conservatory: 32 units due in 13 days (pretax budget cap $186,232)\n- Quartz Exchange: 32 units due in 13 days (pretax budget cap $194,566)\n- Ridgeline Enterprises: 32 units due in 13 days (pretax budget cap $191,183)\n\nWe have 300 finished units on hand. If stock is not enough, you can cover the gap by buying finished goods, building in-house, or using a mix of both.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 28.4% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* Any units you cover through new buying or manufacturing count toward one combined portfolio that must still meet a minimum 28.4% new-spend margin at selling price.\n* Accounting treats the existing stock as sunk cost.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 11388.0,
+          "field": "assembly_cost",
+          "tol_abs": 56.94,
+          "type": "number"
+        },
+        {
+          "expect": 30,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 1052,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 468,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 750,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 1052,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 468,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-5565.51)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 1437841.98,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned",
+  "task_name": "erpbench/2161-hard-17-shared-component-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned.json b/tasks/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..be098bf7370fc100556e6da166a1502d70c36970
--- /dev/null
+++ b/tasks/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 621,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 1232,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 546,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-8748.9)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 970240.38,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 13286.0,
+      "orders_accepted": 27,
+      "orders_rejected": 0,
+      "units_manufactured": 546,
+      "units_purchased": 1232
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2168_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 92,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nThe following Foam Deluge System Package customer orders are firm and must be supplied on schedule:\n\n- Zenith Cooperative: 18 units due in 8 days (pretax budget cap $175,969)\n- Conduit Studios North: 18 units due in 8 days (pretax budget cap $165,380)\n- Bayshore Office: 18 units due in 8 days (pretax budget cap $172,571)\n- Skyline Group: 32 units due in 8 days (pretax budget cap $296,374)\n- Canton Conservatory: 23 units due in 8 days (pretax budget cap $206,026)\n- Flint Media: 18 units due in 8 days (pretax budget cap $162,925)\n- Orbital Pavilion: 32 units due in 9 days (pretax budget cap $300,552)\n- Grove Workspaces: 18 units due in 9 days (pretax budget cap $166,463)\n- Crestview Ventures: 22 units due in 10 days (pretax budget cap $196,328)\n- Ledger Bureau: 18 units due in 10 days (pretax budget cap $176,275)\n- Sterling Creative: 23 units due in 11 days (pretax budget cap $206,322)\n- Ironwood Technologies: 20 units due in 11 days (pretax budget cap $193,330)\n- Ridge Manufactory: 20 units due in 11 days (pretax budget cap $192,570)\n- Echo Collective East: 20 units due in 11 days (pretax budget cap $188,568)\n- Quantum Solutions Group: 25 units due in 11 days (pretax budget cap $236,923)\n- Globe Publishing: 28 units due in 11 days (pretax budget cap $269,837)\n- Oxide Architects: 22 units due in 12 days (pretax budget cap $205,473)\n- Ember Fabricators: 26 units due in 12 days (pretax budget cap $243,660)\n- Keystone Agency: 23 units due in 12 days (pretax budget cap $207,313)\n- Opal Guild: 21 units due in 12 days (pretax budget cap $201,598)\n- Matrix Theater: 20 units due in 12 days (pretax budget cap $189,311)\n- Cardinal Exchange: 23 units due in 12 days (pretax budget cap $218,801)\n- Summit Designs: 23 units due in 13 days (pretax budget cap $207,853)\n- Mosaic Lyceum: 21 units due in 13 days (pretax budget cap $189,708)\n- Clearwater Clinics: 25 units due in 13 days (pretax budget cap $234,250)\n- Aegis Analytics: 32 units due in 13 days (pretax budget cap $298,511)\n- Onyx Boutique: 32 units due in 13 days (pretax budget cap $311,419)\n\nOn-hand finished stock covers 249 units. If stock is not enough, you can cover the gap by buying finished goods, building in-house, or using a mix of both.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 29.8% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* Across all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 29.8% at selling price.\n* Accounting treats the existing stock as sunk cost.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Review Internal Notes/comments on stock, customers, vendors, and workcenters before you confirm entries in the ERP.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 13286.0,
+          "field": "assembly_cost",
+          "tol_abs": 66.43,
+          "type": "number"
+        },
+        {
+          "expect": 27,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 1232,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 546,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 621,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 1232,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 546,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-8748.9)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 970240.38,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned",
+  "task_name": "erpbench/2168-hard-17-shared-component-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned.json b/tasks/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned.json
new file mode 100644
index 0000000000000000000000000000000000000000..54a6d9018fc3580dacf09f386de55c744824e7fc
--- /dev/null
+++ b/tasks/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned.json
@@ -0,0 +1,242 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 713,
+        "name": "confirmed_sale_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 1009,
+        "name": "confirmed_purchase_units",
+        "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 636,
+        "name": "confirmed_manufacture_units",
+        "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+        "tol_abs": 0.01,
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "mo_workcenters_exist",
+        "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "all_lines_at_list_price",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4143.04)>0.01",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_origin_links_to_so",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "sale_commitment_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "purchase_dates_set",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "po_lines_match_a_real_offer",
+        "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+        "type": "sql"
+      },
+      {
+        "expect": 670485.44,
+        "name": "purchase_spend_matches_optimal",
+        "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+        "tol_rel": 0.005,
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "assembly_cost": 15476.0,
+      "orders_accepted": 31,
+      "orders_rejected": 0,
+      "units_manufactured": 636,
+      "units_purchased": 1009
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "erpbench",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of agentic-labs/erp-bench task 2170_hard_17_shared_component_subassemblies_branch_assigned; instruction carried verbatim, scenario seeded from its own environment/scenario_data.json, ground truth derived from its solution/optimal_plan.json. The source boots a real Odoo in Docker and grades with odoolib; this runs on the world's Odoo-shaped surface and grades the same judgement as deterministic SQL state assertions (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 98,
+    "walk_servers": [
+      "harness",
+      "odoo"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Supply & Procurement · Teams**\n\nPrepare a fulfillment strategy for all listed Fire Alarm Control Panel FACP orders to meet due dates and avoid shortages.\n\n- Crown Trust: 18 units due in 8 days (pretax budget cap $76,849)\n- Bayshore Dynamics: 19 units due in 8 days (pretax budget cap $88,079)\n- Summit Lyceum: 24 units due in 8 days (pretax budget cap $108,956)\n- Aether Pavilion: 24 units due in 8 days (pretax budget cap $104,863)\n- Equinox Society: 18 units due in 8 days (pretax budget cap $78,824)\n- Sapphire Boutique: 18 units due in 9 days (pretax budget cap $80,144)\n- Quartz Engineering: 23 units due in 9 days (pretax budget cap $100,283)\n- Trident Labs: 21 units due in 9 days (pretax budget cap $95,134)\n- Scion Supply Co: 18 units due in 9 days (pretax budget cap $77,786)\n- Nimbus Solutions Group: 25 units due in 10 days (pretax budget cap $109,235)\n- Crestview Forum: 24 units due in 10 days (pretax budget cap $104,160)\n- Arbor Academy: 25 units due in 10 days (pretax budget cap $110,200)\n- Chrome Analytics: 22 units due in 10 days (pretax budget cap $97,251)\n- Atlas Agency: 21 units due in 10 days (pretax budget cap $89,989)\n- Osprey Studios West: 30 units due in 10 days (pretax budget cap $134,870)\n- Cipher Brands: 19 units due in 10 days (pretax budget cap $84,792)\n- Grove Manufactory: 18 units due in 11 days (pretax budget cap $80,277)\n- Compass Collective East: 21 units due in 11 days (pretax budget cap $94,971)\n- Pacific Workshop: 18 units due in 12 days (pretax budget cap $79,169)\n- Flint Observatory: 22 units due in 12 days (pretax budget cap $96,872)\n- Comet Arena: 18 units due in 12 days (pretax budget cap $79,861)\n- Eclipse Interactive: 22 units due in 12 days (pretax budget cap $94,032)\n- Axis Bureau: 19 units due in 12 days (pretax budget cap $80,809)\n- Borough Bazaar: 18 units due in 13 days (pretax budget cap $76,082)\n- Gateway Technologies: 30 units due in 13 days (pretax budget cap $130,290)\n- Ridge Workspaces: 18 units due in 13 days (pretax budget cap $81,936)\n- Cobalt Research: 32 units due in 13 days (pretax budget cap $141,224)\n- Catalyst Consortium: 32 units due in 13 days (pretax budget cap $140,917)\n- Quantum Holdings: 32 units due in 13 days (pretax budget cap $143,212)\n- Aurora Chambers: 32 units due in 13 days (pretax budget cap $144,242)\n- Ridgeline Pictures: 32 units due in 13 days (pretax budget cap $136,291)\n\nCurrent finished-goods stock is 286 units. If stock runs short, you can close the gap with finished-goods purchasing, in-house manufacturing, or a combination of the two.\n\nAcross all units covered through new purchasing or manufacturing, keep portfolio-level new-spend margin at or above 28.4% at selling price.\n\n## Background & Policy\n\n* Fulfill all orders while minimizing new spending on procurement and manufacturing.\n* The combined units covered through new purchasing or manufacturing must clear at least 28.4% portfolio-level new-spend margin at selling price.\n* Existing stock is a sunk cost and should not be treated as new spend.\n* You must create and confirm the necessary sales orders, purchase orders, and/or manufacturing orders.\n* Customer budgets are pre-tax amounts.\n* Link Sales Orders to the related Manufacturing Orders and Purchase Orders for traceability.\n* For finished goods POs, put the SO reference(s) (e.g. S00030 or S00030, S00031) into the origin field ('Source' in the UI).\n* For component POs, put the MO reference(s) (e.g. WH/MO/00010 or WH/MO/00010, WH/MO/00011) into the origin field.\n* For finished goods MOs, put the Sales Order reference (e.g. S00030) into the origin field ('Source' in the UI).\n* For subassembly or intermediate MOs, put the immediate parent MO reference(s) that the subassembly feeds (e.g. WH/MO/00020 or WH/MO/00020, WH/MO/00021) into the origin field ('Source' in the UI).\n* In the end, the lineage must be SO -> MO -> (Subassembly MO if needed) -> PO or SO -> PO.\n* You must sell this product at List Price.\n* On sales orders, set the commitment date.\n* On manufacturing orders, you must set the start date and the due date.\n* If you choose to manufacture, you must procure the components that are not in stock.\n* On purchase orders, you must set the delivery date.\n* Before releasing anything, read the Internal Notes/comments on stock, customers, vendors, and workcenters.\n\nCapacity constraints:\n- Treat workcenter capacity as a hard horizon-wide limit across all products that share the center.\n- Check each workcenter's Internal Notes in Odoo for the exact horizon-wide minute limit.\n- Assign workcenter on each manufacturing work order.\n- For each finished-goods supplier offer, respect min/max quantities as horizon-wide totals.\n- For each component supplier offer, respect min/max quantities as horizon-wide totals.\n- Use one consolidated PO per supplier offer (do not split a single offer across multiple POs).\n- Check each vendor's Internal Notes in Odoo for maximum order quantity limits.\n\nWork in the `odoo` ERP and commit the plan there.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 15476.0,
+          "field": "assembly_cost",
+          "tol_abs": 77.38,
+          "type": "number"
+        },
+        {
+          "expect": 31,
+          "field": "orders_accepted",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 0,
+          "field": "orders_rejected",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 1009,
+          "field": "units_purchased",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 636,
+          "field": "units_manufactured",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": 713,
+          "name": "confirmed_sale_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 1009,
+          "name": "confirmed_purchase_units",
+          "sql": "SELECT COALESCE(SUM(l.qty),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 636,
+          "name": "confirmed_manufacture_units",
+          "sql": "SELECT COALESCE(SUM(qty),0) FROM erpb_manufacturing_orders WHERE state='confirmed'",
+          "tol_abs": 0.01,
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "mo_workcenters_exist",
+          "sql": "SELECT COUNT(*) FROM erpb_manufacturing_orders m WHERE m.state='confirmed' AND NOT EXISTS (SELECT 1 FROM erpb_workcenters w WHERE w.code=m.workcenter_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "all_lines_at_list_price",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_order_lines l JOIN erpb_sale_orders o ON o.name=l.order_name WHERE o.state='sale' AND ABS(l.price_unit-4143.04)>0.01",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_origin_links_to_so",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders p WHERE p.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_sale_orders s WHERE s.state='sale' AND p.origin LIKE '%'||s.name||'%')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "sale_commitment_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_sale_orders WHERE state='sale' AND (commitment_date IS NULL OR commitment_date='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "purchase_dates_set",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_orders WHERE state='purchase' AND (date_planned IS NULL OR date_planned='')",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "po_lines_match_a_real_offer",
+          "sql": "SELECT COUNT(*) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase' AND NOT EXISTS (SELECT 1 FROM erpb_vendor_offers v WHERE v.partner_ref=o.partner_ref AND v.product_code=l.product_code)",
+          "type": "sql"
+        },
+        {
+          "expect": 670485.44,
+          "name": "purchase_spend_matches_optimal",
+          "sql": "SELECT COALESCE(SUM(l.qty*l.price_unit),0) FROM erpb_purchase_order_lines l JOIN erpb_purchase_orders o ON o.name=l.order_name WHERE o.state='purchase'",
+          "tol_rel": 0.005,
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erpb_bom_components",
+            "erpb_boms",
+            "erpb_demand",
+            "erpb_manufacturing_orders",
+            "erpb_partners",
+            "erpb_products",
+            "erpb_purchase_order_lines",
+            "erpb_purchase_orders",
+            "erpb_sale_order_lines",
+            "erpb_sale_orders",
+            "erpb_stock",
+            "erpb_vendor_offers",
+            "erpb_workcenters"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "odoo"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned",
+  "task_name": "erpbench/2170-hard-17-shared-component-subassemblies-branch-assigned",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-057-policy-validation-feb.json b/tasks/lgr100-057-policy-validation-feb.json
new file mode 100644
index 0000000000000000000000000000000000000000..a2c32c7f187435156a01ff19861f89ed86d198a6
--- /dev/null
+++ b/tasks/lgr100-057-policy-validation-feb.json
@@ -0,0 +1,144 @@
+{
+  "context_files": [
+    "task_files/lgr100-057-policy-validation-feb/documents/policy--travel-perdiem-and-substantiation.md",
+    "task_files/lgr100-057-policy-validation-feb/documents/reference--gsa-mie-rate-table.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "conference_mie_rate": 92,
+      "nonaccountable_amount": 612.4,
+      "perdiem_due": 404.0,
+      "reimbursable_total": 2932.5,
+      "structural_exception_line": "EXP-2058",
+      "structural_exception_reason": "A. Okonkwo's Chicago lodging is inside every per-line limit - receipt attached, business purpose stated, 306.20 a night against a 350 cap - but it was incurred 2025-12-08 and first substantiated 2026-02-19, 73 days later, outside the 60 day fixed-date safe harbour, so it falls out of the accountable plan and is paid through payroll as W-2 wages rather than reimbursed tax-free."
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "expense_audit",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-057-policy-validation-feb",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of TheAgentCompany research/external/repos/TheAgentCompany/workspaces/tasks/finance-expense-validation (expense extract + a rules file, find the mis-stated lines, report a per-category rollup). Kept: the spreadsheet-plus-policy surface and the rollup deliverable. Changed: the source grades keyword-to-category matching over 1,000 synthetic rows, which is arithmetic volume, so the port replaces the volume with one judgement — every one of the 13 lines passes the per-line test and the file is still wrong. Policy limits are grounded in research/external/articles/te-expense-audit--{gsa-mie-breakdown,gsa-perdiem-faq,ecfr-accountable-plan,irs}.md (GSA CONUS M&IE tiers and the 75% first/last-day rule, the 12-hour one-day gate, work-location locality rule, provided-meal exceptions, and the 26 CFR 1.62-2 60-day substantiation safe harbour with W-2 consequence). Differs from expense_audit/te-sample-feb, which tests per-line limits (meal cap, business class, missing receipt) and grades a violation count — here no line breaks a limit; and from expense_audit/threshold-shaving-h1, which grades a cross-period behavioural pattern over compliant claims — here the finding is a single line's date arithmetic and its payroll consequence. docs/HARD-LAYER-DESIGN.md M3 (non-collapse), M4 (money re-derivation off the rate table, never the claimed figure), M5 (the provided meal and the venue city live only in email, not in the extract).",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "email",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dev Bhatt · Payroll & Expense Lead · Teams 09:20**\n\nMorning — I need the February expense file signed off before the 5 March payroll cut-off and\nI'd rather you did it than me.\n\nPeople Ops dropped the extract on the shared drive. Everything on it looks clean: receipts are\nattached, nothing's over a cap, nobody flew business. So the per-line check tells me nothing,\nand I don't trust the per diem figures at all — those are whatever the traveller typed into the\nform, and we reprice them ourselves now under FIN-POL-022.\n\nThe other thing I got burned on in Q4: external audit picked up a reimbursement we paid out\ntax-free that shouldn't have been, and it cost me a W-2c. So before you send me a number, look\nat the dates and not just the amounts.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 404.0,
+          "field": "perdiem_due",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 92,
+          "field": "conference_mie_rate",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 612.4,
+          "field": "nonaccountable_amount",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[6]')),2) FROM sheet_rows WHERE file='expense-extract-2026-02.xlsx' AND row_no>1 AND julianday(json_extract(cells,'$[8]')) - julianday(json_extract(cells,'$[3]')) > 60",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 2932.5,
+          "field": "reimbursable_total",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "EXP-2058"
+          ],
+          "field": "structural_exception_line",
+          "forbid": [
+            "EXP-2041",
+            "EXP-2042",
+            "EXP-2043",
+            "EXP-2044",
+            "EXP-2049",
+            "EXP-2050",
+            "EXP-2051",
+            "EXP-2052",
+            "EXP-2055",
+            "EXP-2056",
+            "EXP-2057",
+            "EXP-2059"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "60"
+          ],
+          "field": "structural_exception_reason",
+          "forbid": [
+            "duplicate",
+            "missing receipt",
+            "no receipt",
+            "over the cap",
+            "exceeds the cap",
+            "business class"
+          ],
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-057-policy-validation-feb",
+  "task_name": "expense_audit/policy-validation-feb",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-058-te-sample-feb.json b/tasks/lgr100-058-te-sample-feb.json
new file mode 100644
index 0000000000000000000000000000000000000000..1eb4e84f0475720704657745d1141b6e28ed6e84
--- /dev/null
+++ b/tasks/lgr100-058-te-sample-feb.json
@@ -0,0 +1,101 @@
+{
+  "context_files": [
+    "task_files/lgr100-058-te-sample-feb/documents/policy--travel-and-expense.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "out_of_policy_amount": 1512.4,
+      "violating_report_ids": "EXP-1042, EXP-1047, EXP-1051",
+      "violation_count": 3,
+      "worst_violation_rule": "business class airfare requires VP pre-approval; economy is the standard"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "expense_audit",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-058-te-sample-feb",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#11 (T&E policy compliance sampling; Ramp-class agents claim >99% automation here)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 16:15**\n\nFebruary expenses — anything out of policy? I need the exceptions and what they cost us.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 3,
+          "field": "violation_count",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "EXP-1042",
+            "EXP-1047",
+            "EXP-1051"
+          ],
+          "field": "violating_report_ids",
+          "type": "contains_all"
+        },
+        {
+          "expect": 1512.4,
+          "field": "out_of_policy_amount",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "business class"
+          ],
+          "field": "worst_violation_rule",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-058-te-sample-feb",
+  "task_name": "expense_audit/te-sample-feb",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-059-te-sample-feb-esc-burie-quiet.json b/tasks/lgr100-059-te-sample-feb-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..5739432d0736ebff7d44faaa30c7e5a6c9dc1f09
--- /dev/null
+++ b/tasks/lgr100-059-te-sample-feb-esc-burie-quiet.json
@@ -0,0 +1,101 @@
+{
+  "context_files": [
+    "task_files/lgr100-059-te-sample-feb-esc-burie-quiet/documents/policy--travel-and-expense.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "out_of_policy_amount": 1512.4,
+      "violating_report_ids": "EXP-1042, EXP-1047, EXP-1051",
+      "violation_count": 3,
+      "worst_violation_rule": "business class airfare requires VP pre-approval; economy is the standard"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "expense_audit",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-059-te-sample-feb-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of expense_audit/te-sample-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#11 (T&E policy compliance sampling; Ramp-class agents claim >99% automation here)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 16:15**\n\nFebruary expenses — anything out of policy? I need the exceptions and what they cost us.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 3,
+          "field": "violation_count",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "EXP-1042",
+            "EXP-1047",
+            "EXP-1051"
+          ],
+          "field": "violating_report_ids",
+          "type": "contains_all"
+        },
+        {
+          "expect": 1512.4,
+          "field": "out_of_policy_amount",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "business class"
+          ],
+          "field": "worst_violation_rule",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-059-te-sample-feb-esc-burie-quiet",
+  "task_name": "expense_audit/te-sample-feb-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-060-threshold-shaving-h1.json b/tasks/lgr100-060-threshold-shaving-h1.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f6d85d3f0fbeb74211aa1c3f8f87658504c01d5
--- /dev/null
+++ b/tasks/lgr100-060-threshold-shaving-h1.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [
+    "task_files/lgr100-060-threshold-shaving-h1/documents/policy--expense-audit-detectors.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "detector_triggered": "yes",
+      "shaving_claim_count": 6,
+      "shaving_employee": "K. Osei",
+      "shaving_total": 2850.74
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "expense_audit",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-060-threshold-shaving-h1",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/external/articles: Oracle Expenses threshold-shaving detector — claims in the 450-499 band against a 500 receipt threshold, more than 5 times in 6 months",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 11:55**\n\nTime for the periodic expense detectors — last six months. Every claim passed on its own, but run the patterns and tell me if anyone flags.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "osei"
+          ],
+          "field": "shaving_employee",
+          "type": "contains_all"
+        },
+        {
+          "expect": 6,
+          "field": "shaving_claim_count",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 2850.74,
+          "field": "shaving_total",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": "yes",
+          "field": "detector_triggered",
+          "type": "yes_no"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-060-threshold-shaving-h1",
+  "task_name": "expense_audit/threshold-shaving-h1",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-061-scale-trap-lmt.json b/tasks/lgr100-061-scale-trap-lmt.json
new file mode 100644
index 0000000000000000000000000000000000000000..faaa8507eecc5e2d57fbd9f3ea5935ee34878294
--- /dev/null
+++ b/tasks/lgr100-061-scale-trap-lmt.json
@@ -0,0 +1,105 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "operating_margin_pct": 9.87,
+      "revenue": 71043,
+      "revenue_scale": "millions",
+      "revenue_usd": 71043000000,
+      "source_form": "10-K"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-061-scale-trap-lmt",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "closes tracked coverage gap tatqa.scale_unit (sim/coverage.py); NExTplusplus/TAT-QA grades `scale` (thousand/million/billion/percent) as a separately annotated field — research/evals-and-benchmarks.md; round-2 ledger row 28 (add a scale/unit field rather than widening tolerances until units stop mattering)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 15:40**\n\nCounterparty pack for Lockheed Martin — I need FY2024 total net sales, and the operating\nmargin off the same filing.\n\nPut the units on it explicitly this time. Last pack went out with a revenue figure copied\nstraight off the statement table and no unit next to it, and it got read as dollars in the\ncommittee. Not repeating that.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 71043,
+          "field": "revenue",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": "millions",
+          "field": "revenue_scale",
+          "type": "scale"
+        },
+        {
+          "expect": 71043000000,
+          "field": "revenue_usd",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 9.8715,
+          "field": "operating_margin_pct",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "10-K"
+          ],
+          "field": "source_form",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-061-scale-trap-lmt",
+  "task_name": "finance_qa/scale-trap-lmt",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-062-tac-10k-income-report.json b/tasks/lgr100-062-tac-10k-income-report.json
new file mode 100644
index 0000000000000000000000000000000000000000..5617ee5db33889c5e16e65e7f9eeb4aee1eb1ee1
--- /dev/null
+++ b/tasks/lgr100-062-tac-10k-income-report.json
@@ -0,0 +1,138 @@
+{
+  "context_files": [
+    "task_files/lgr100-062-tac-10k-income-report/documents/policy--external-reporting-basis.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "cost_of_revenue": 642000000,
+      "gross_profit": 840000000,
+      "net_income": 412000000,
+      "operating_income": 313000000,
+      "operating_margin_pct": 21.12,
+      "revenue": 1482000000,
+      "revenue_growth_pct": 14.35,
+      "source_form": "10-K for fiscal year 2025, accession 0009900413-26-000007, Item 8"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-062-tac-10k-income-report",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-create-10k-income-report (extract income-statement figures from 10-K Item 8 for multiple years, compile a structured table, and derive the year-over-year percentage change). The source's plumbing does not port: its ownCloud folder-navigation checkpoint, its written /workspace/net_income_report.csv, and its LLM-judged RocketChat message to David Wong are all environment-specific, and its checkpoint 4 graded an exact CSV cell set. Here the workbook becomes the frozen filings server (filings_companies/filings_facts/filings_documents, seeded as tasks/finance_qa/scale-trap-lmt does), the column structure becomes submit_answer fields, the CSV-shape checkpoint becomes the required_servers/reads_before_submit trace checks, and the derived percentage change is graded as revenue_growth_pct alongside a derived margin. The source's own trap - 'net income ... in section/item 8' and 'the name of registrant as specified in its charter' - is kept and sharpened: docs/HARD-LAYER-DESIGN.md M3 (non-collapse), M4 (the margin and the growth rate are recomputed from revenue and the line items, never read off a stated figure) and M5 (the governing basis lives only in FRP-02)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 13,
+    "walk_servers": [
+      "docs",
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Marta Ilyin · FP&A Manager · Teams 09:20**\n\nCalderwood Systems filed their FY2025 annual report last week. They're the comp our board pack\nbenchmarks us against, so I need their income statement summary rebuilt for the comp table on\nThursday, per FRP-02.\n\nTwo things I'd rather not repeat from last quarter. The margin we showed for them was about\nthree points better than the one in their accounts — the committee asked where it came from and\nI had nothing. And the growth line had them shrinking, which nobody in the room believed; it\nturned out we'd measured this year against a prior-year number they no longer report on that\nbasis.\n\nSo: their numbers, off the filing they actually stand behind, and tell me which filing that is.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 1482000000,
+          "field": "revenue",
+          "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2025-12-31'",
+          "tol_rel": 0.0005,
+          "type": "number"
+        },
+        {
+          "expect": 642000000,
+          "field": "cost_of_revenue",
+          "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='CostOfRevenue' AND fy='2025' AND period_end='2025-12-31'",
+          "tol_rel": 0.0005,
+          "type": "number"
+        },
+        {
+          "expect": 840000000,
+          "field": "gross_profit",
+          "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='GrossProfit' AND fy='2025' AND period_end='2025-12-31'",
+          "tol_rel": 0.0005,
+          "type": "number"
+        },
+        {
+          "expect": 313000000,
+          "field": "operating_income",
+          "gt_sql": "SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='OperatingIncomeLoss' AND fy='2025' AND period_end='2025-12-31'",
+          "tol_rel": 0.0005,
+          "type": "number"
+        },
+        {
+          "expect": 412000000,
+          "field": "net_income",
+          "gt_sql": "SELECT (SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='ProfitLoss' AND fy='2025' AND period_end='2025-12-31') - (SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='NetIncomeLossAttributableToNoncontrollingInterest' AND fy='2025' AND period_end='2025-12-31')",
+          "tol_rel": 0.0005,
+          "type": "number"
+        },
+        {
+          "expect": 21.1201,
+          "field": "operating_margin_pct",
+          "gt_sql": "SELECT ROUND(100.0*(SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='OperatingIncomeLoss' AND fy='2025' AND period_end='2025-12-31')/(SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2025-12-31'),4)",
+          "tol_abs": 0.06,
+          "type": "number"
+        },
+        {
+          "expect": 14.3519,
+          "field": "revenue_growth_pct",
+          "gt_sql": "SELECT ROUND(100.0*((SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2025-12-31')/(SELECT value FROM filings_facts WHERE cik='0009900413' AND concept='Revenues' AND fy='2025' AND period_end='2024-12-31')-1),4)",
+          "tol_abs": 0.06,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "10-K"
+          ],
+          "field": "source_form",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 4,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-062-tac-10k-income-report",
+  "task_name": "finance_qa/tac-10k-income-report",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-063-tsla-operating-margin-q3.json b/tasks/lgr100-063-tsla-operating-margin-q3.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bcd64e7f90f72b3dadcbdb15eabc3769813b911
--- /dev/null
+++ b/tasks/lgr100-063-tsla-operating-margin-q3.json
@@ -0,0 +1,91 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "operating_income": 1624000000,
+      "operating_margin_pct": 5.78,
+      "quarter_revenue": 28095000000
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-063-tsla-operating-margin-q3",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark finance_qa (quarterly + format-constrained segment); facts captured from data.sec.gov 2026-08-10",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 15:11**\n\nWhat was Tesla's GAAP operating margin in the September 2025 quarter? Percent to two decimals, plus the two inputs.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 5.78,
+          "field": "operating_margin_pct",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 1624000000,
+          "field": "operating_income",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 28095000000,
+          "field": "quarter_revenue",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-063-tsla-operating-margin-q3",
+  "task_name": "finance_qa/tsla-operating-margin-q3",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet.json b/tasks/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..a351a91a24b4f8959a3717b060c654d90334f7a3
--- /dev/null
+++ b/tasks/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet.json
@@ -0,0 +1,91 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "operating_income": 1624000000,
+      "operating_margin_pct": 5.78,
+      "quarter_revenue": 28095000000
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of finance_qa/tsla-operating-margin-q3 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark finance_qa (quarterly + format-constrained segment); facts captured from data.sec.gov 2026-08-10",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 15:11**\n\nWhat was Tesla's GAAP operating margin in the September 2025 quarter? Percent to two decimals, plus the two inputs.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 5.78,
+          "field": "operating_margin_pct",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 1624000000,
+          "field": "operating_income",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 28095000000,
+          "field": "quarter_revenue",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-064-tsla-operating-margin-q3-esc-burie-quiet",
+  "task_name": "finance_qa/tsla-operating-margin-q3-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-065-unavailable-concept.json b/tasks/lgr100-065-unavailable-concept.json
new file mode 100644
index 0000000000000000000000000000000000000000..bcc19da08e6b487cb65146a4d3f18a8265222d7d
--- /dev/null
+++ b/tasks/lgr100-065-unavailable-concept.json
@@ -0,0 +1,89 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "concepts_checked": "ResearchAndDevelopmentExpense (absent); snapshot holds only CostOfRevenue and InventoryNet for WMT",
+      "figure_available": "no",
+      "rd_expense": "none"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-065-unavailable-concept",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "FinanceBench pattern found in repo sweep: refusal scored separately from a wrong answer (research/external/repos/INDEX.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 13:33**\n\nCommittee asked for Walmart's R&D spend for the year ended 31 January 2025. Can you pull it? Tell me what you checked.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": "no",
+          "field": "figure_available",
+          "type": "yes_no"
+        },
+        {
+          "field": "rd_expense",
+          "type": "none_answer"
+        },
+        {
+          "expect": [
+            "inventory"
+          ],
+          "field": "concepts_checked",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-065-unavailable-concept",
+  "task_name": "finance_qa/unavailable-concept",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-066-wmt-inventory-turnover.json b/tasks/lgr100-066-wmt-inventory-turnover.json
new file mode 100644
index 0000000000000000000000000000000000000000..218a58aa25127b26c52ccceeac199362ff1659b3
--- /dev/null
+++ b/tasks/lgr100-066-wmt-inventory-turnover.json
@@ -0,0 +1,91 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "average_inventory": 55663500000,
+      "cost_of_revenue": 511753000000,
+      "inventory_turnover": 9.19
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-066-wmt-inventory-turnover",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark finance_qa (ratio segment); facts captured from data.sec.gov 2026-08-10",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 14:05**\n\nCommittee wants Walmart's inventory turnover for the year ended 31 January 2025, to two decimals. Show me the inputs you used.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 9.1937,
+          "field": "inventory_turnover",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 511753000000,
+          "field": "cost_of_revenue",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 55663500000,
+          "field": "average_inventory",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-066-wmt-inventory-turnover",
+  "task_name": "finance_qa/wmt-inventory-turnover",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-067-wmt-inventory-turnover-esc-burie-quiet.json b/tasks/lgr100-067-wmt-inventory-turnover-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..18c47b7bbc5cae9deabef67617131d275921b3c2
--- /dev/null
+++ b/tasks/lgr100-067-wmt-inventory-turnover-esc-burie-quiet.json
@@ -0,0 +1,91 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "average_inventory": 55663500000,
+      "cost_of_revenue": 511753000000,
+      "inventory_turnover": 9.19
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-067-wmt-inventory-turnover-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of finance_qa/wmt-inventory-turnover via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark finance_qa (ratio segment); facts captured from data.sec.gov 2026-08-10",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 14:05**\n\nCommittee wants Walmart's inventory turnover for the year ended 31 January 2025, to two decimals. Show me the inputs you used.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 9.1937,
+          "field": "inventory_turnover",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 511753000000,
+          "field": "cost_of_revenue",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 55663500000,
+          "field": "average_inventory",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-067-wmt-inventory-turnover-esc-burie-quiet",
+  "task_name": "finance_qa/wmt-inventory-turnover-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-068-xom-cat-liquidity-compare.json b/tasks/lgr100-068-xom-cat-liquidity-compare.json
new file mode 100644
index 0000000000000000000000000000000000000000..23a6eb38035d7afde3a1c2c39379b21811df0273
--- /dev/null
+++ b/tasks/lgr100-068-xom-cat-liquidity-compare.json
@@ -0,0 +1,102 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "cat_current_assets": 45682000000,
+      "difference": 46308000000,
+      "larger_company": "ExxonMobil",
+      "xom_current_assets": 91990000000
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-068-xom-cat-liquidity-compare",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark finance_qa (multi-company composite segment); exercises get_xbrl_frames across companies",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 09:48**\n\nScreening Exxon and Caterpillar side by side. At FY2024, who's carrying more current assets and by how much?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "Exxon"
+          ],
+          "field": "larger_company",
+          "forbid": [
+            "Caterpillar"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 91990000000,
+          "field": "xom_current_assets",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 45682000000,
+          "field": "cat_current_assets",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 46308000000,
+          "field": "difference",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "filings",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-068-xom-cat-liquidity-compare",
+  "task_name": "finance_qa/xom-cat-liquidity-compare",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-069-xom-current-assets.json b/tasks/lgr100-069-xom-current-assets.json
new file mode 100644
index 0000000000000000000000000000000000000000..65a5b21e48c6c5bb169a86c7d3b96aaab71d315a
--- /dev/null
+++ b/tasks/lgr100-069-xom-current-assets.json
@@ -0,0 +1,88 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "current_assets_usd": 91990000000,
+      "period_end": "2024-12-31",
+      "source_form": "10-K"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "easy",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-069-xom-current-assets",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "financebenchmark:finance_qa (user-brief example); GT = real XBRL fact captured from data.sec.gov 2026-08-10",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 11:20**\n\nFor the counterparty pack: ExxonMobil's total current assets at FY2024 year end. Tell me where it comes from so I can footnote it.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 91990000000,
+          "field": "current_assets_usd",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "2024-12-31"
+          ],
+          "field": "period_end",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "10-K"
+          ],
+          "field": "source_form",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-069-xom-current-assets",
+  "task_name": "finance_qa/xom-current-assets",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-070-xom-current-assets-esc-burie-quiet.json b/tasks/lgr100-070-xom-current-assets-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..80f3fe3aa52e7172b22327367f3caa47043f1fdc
--- /dev/null
+++ b/tasks/lgr100-070-xom-current-assets-esc-burie-quiet.json
@@ -0,0 +1,88 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "current_assets_usd": 91990000000,
+      "period_end": "2024-12-31",
+      "source_form": "10-K"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "easy",
+    "family": "finance_qa",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-070-xom-current-assets-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of finance_qa/xom-current-assets via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: financebenchmark:finance_qa (user-brief example); GT = real XBRL fact captured from data.sec.gov 2026-08-10",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 3,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams 11:20**\n\nFor the counterparty pack: ExxonMobil's total current assets at FY2024 year end. Tell me where it comes from so I can footnote it.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 91990000000,
+          "field": "current_assets_usd",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "2024-12-31"
+          ],
+          "field": "period_end",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "10-K"
+          ],
+          "field": "source_form",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-070-xom-current-assets-esc-burie-quiet",
+  "task_name": "finance_qa/xom-current-assets-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-071-jpm-debt-to-equity-127.json b/tasks/lgr100-071-jpm-debt-to-equity-127.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c48dca643fa3a2ba1cdcab4c6bcf4bfa8766bb3
--- /dev/null
+++ b/tasks/lgr100-071-jpm-debt-to-equity-127.json
@@ -0,0 +1,86 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "debt_to_equity": 10.6105,
+      "stockholders_equity": 344758000000.0,
+      "total_liabilities": 3658056000000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-071-jpm-debt-to-equity-127",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark finance_qa item finance_qa-127; question verbatim, ground truth recomputed from the frozen SEC XBRL snapshot (debt-to-equity = Liabilities/StockholdersEquity @ 2024-12-31 (10-K)). FB grades this with an LLM judge; this clone pins the figure, its period and its source form as separate deterministic checks (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams**\n\nBenchmarking JPMorgan against peers for counterparty risk. What was JPMorgan Chase & Co.’s debt-to-equity ratio as of December 31, 2024?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 10.6105,
+          "field": "debt_to_equity",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 3658056000000.0,
+          "field": "total_liabilities",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 344758000000.0,
+          "field": "stockholders_equity",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-071-jpm-debt-to-equity-127",
+  "task_name": "finance_qa_fb/jpm-debt-to-equity-127",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-072-ko-operating-margin-pct-035.json b/tasks/lgr100-072-ko-operating-margin-pct-035.json
new file mode 100644
index 0000000000000000000000000000000000000000..1206bc8c02004c8c802d34d982d7de54d00f51e5
--- /dev/null
+++ b/tasks/lgr100-072-ko-operating-margin-pct-035.json
@@ -0,0 +1,86 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "operating_income": 13762000000.0,
+      "operating_margin_pct": 28.71,
+      "revenue": 47941000000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "finance_qa_fb",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-072-ko-operating-margin-pct-035",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "clone of microsoft/FinanceBenchmark finance_qa item finance_qa-035; question verbatim, ground truth recomputed from the frozen SEC XBRL snapshot (operating margin = OperatingIncomeLoss/Revenues @ 2025-12-31 (10-K)). FB grades this with an LLM judge; this clone pins the figure, its period and its source form as separate deterministic checks (docs/PARITY.md)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "filings",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Dana Kim · Credit Manager · Teams**\n\nI'm updating margin assumptions for our FY2025 beverage forecast. What was Coca-Cola's operating margin for fiscal year 2024? Need it to calibrate our baseline.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 28.71,
+          "field": "operating_margin_pct",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 13762000000.0,
+          "field": "operating_income",
+          "tol_rel": 0.001,
+          "type": "number"
+        },
+        {
+          "expect": 47941000000.0,
+          "field": "revenue",
+          "tol_rel": 0.001,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "filings"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-072-ko-operating-margin-pct-035",
+  "task_name": "finance_qa_fb/ko-operating-margin-pct-035",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-073-budget-variance-feb.json b/tasks/lgr100-073-budget-variance-feb.json
new file mode 100644
index 0000000000000000000000000000000000000000..28260f9d8231b288c8a5eac531db0baed6cd8c02
--- /dev/null
+++ b/tasks/lgr100-073-budget-variance-feb.json
@@ -0,0 +1,112 @@
+{
+  "context_files": [
+    "task_files/lgr100-073-budget-variance-feb/documents/policy--fpna-variance-review.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "flagged_count": 4,
+      "flagged_ids": "Engineering_Software_202602, Sales_Travel_202602, Marketing_Training_202602, Operations_Equipment_202601",
+      "unfavourable_total_usd": 38515.4
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "fpna",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-073-budget-variance-feb",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-budget-variance (task.md + evaluator.py: budget vs actual by department/category/month, variance amount and %, flag >10% AND >$5,000, 'adjust for identified seasonal spending variations', identifiers as Department_Category_YYYYMM); the source's vague seasonality clause is resolved here into FIN-FPA-04 s4; docs/HARD-LAYER-DESIGN.md M3 (dual-limb non-collapse) and M5 (the front-loaded list has no field in either workbook and lives only in the policy document)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Iris Novak · FP&A Lead · Teams 08:20, Monday 2 March**\n\nFebruary's closed and the operating review is Thursday. I need the exception page off the FY26\nbudget and the Jan–Feb actuals — both workbooks are on the finance drive under my name.\n\nLast cycle we walked in with thirty lines on that page and spent forty minutes arguing about\nthe January facilities charge instead of the things that had actually moved. Ops walked out not\nbelieving any of it. So: run it the way FIN-FPA-04 says to run it, including what it says\nabout the categories that don't bill the way they're budgeted. If the policy wouldn't flag it,\nI don't want it on my page — I'd rather defend a short list than explain a long one.\n\nIDs in the usual Department_Category_YYYYMM shape so I can paste them straight into the deck.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "Engineering_Software_202602",
+            "Sales_Travel_202602",
+            "Marketing_Training_202602",
+            "Operations_Equipment_202601"
+          ],
+          "field": "flagged_ids",
+          "forbid": [
+            "Engineering_Facilities_202601",
+            "Operations_Facilities_202601",
+            "Engineering_Facilities_202602",
+            "Operations_Facilities_202602",
+            "Sales_Software_202602",
+            "Marketing_Equipment_202602",
+            "HR_Training_202601",
+            "Engineering_Salaries_202602",
+            "Sales_Salaries_202601"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 4,
+          "field": "flagged_count",
+          "gt_sql": "SELECT COUNT(*) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 38515.4,
+          "field": "unfavourable_total_usd",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]')),2) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-073-budget-variance-feb",
+  "task_name": "fpna/budget-variance-feb",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-074-budget-variance-feb-esc-burie-quiet.json b/tasks/lgr100-074-budget-variance-feb-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..48d33ef013016afdf1d58c3b567afd403ebbc9d3
--- /dev/null
+++ b/tasks/lgr100-074-budget-variance-feb-esc-burie-quiet.json
@@ -0,0 +1,112 @@
+{
+  "context_files": [
+    "task_files/lgr100-074-budget-variance-feb-esc-burie-quiet/documents/policy--fpna-variance-review.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "flagged_count": 4,
+      "flagged_ids": "Engineering_Software_202602, Sales_Travel_202602, Marketing_Training_202602, Operations_Equipment_202601",
+      "unfavourable_total_usd": 38515.4
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "fpna",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-074-budget-variance-feb-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of fpna/budget-variance-feb via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-budget-variance (task.md + evaluator.py: budget vs actual by department/category/month, variance amount and %, flag >10% AND >$5,000, 'adjust for identified seasonal spending variations', identifiers as Department_Category_YYYYMM); the source's vague seasonality clause is resolved here into FIN-FPA-04 s4; docs/HARD-LAYER-DESIGN.md M3 (dual-limb non-collapse) and M5 (the front-loaded list has no field in either workbook and lives only in the policy document)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Iris Novak · FP&A Lead · Teams 08:20, Monday 2 March**\n\nFebruary's closed and the operating review is Thursday. I need the exception page off the FY26\nbudget and the Jan–Feb actuals — both workbooks are on the finance drive under my name.\n\nLast cycle we walked in with thirty lines on that page and spent forty minutes arguing about\nthe January facilities charge instead of the things that had actually moved. Ops walked out not\nbelieving any of it. So: run it the way the governing policy says to run it, including what it says\nabout the categories that don't bill the way they're budgeted. If the policy wouldn't flag it,\nI don't want it on my page — I'd rather defend a short list than explain a long one.\n\nIDs in the usual Department_Category_YYYYMM shape so I can paste them straight into the deck.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "Engineering_Software_202602",
+            "Sales_Travel_202602",
+            "Marketing_Training_202602",
+            "Operations_Equipment_202601"
+          ],
+          "field": "flagged_ids",
+          "forbid": [
+            "Engineering_Facilities_202601",
+            "Operations_Facilities_202601",
+            "Engineering_Facilities_202602",
+            "Operations_Facilities_202602",
+            "Sales_Software_202602",
+            "Marketing_Equipment_202602",
+            "HR_Training_202601",
+            "Engineering_Salaries_202602",
+            "Sales_Salaries_202601"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 4,
+          "field": "flagged_count",
+          "gt_sql": "SELECT COUNT(*) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": 38515.4,
+          "field": "unfavourable_total_usd",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]')),2) FROM sheet_rows a JOIN sheet_rows b ON b.file='FY26-opex-budget.xlsx' AND b.row_no>1 AND json_extract(b.cells,'$[0]')=json_extract(a.cells,'$[0]') AND json_extract(b.cells,'$[1]')=json_extract(a.cells,'$[1]') AND json_extract(b.cells,'$[2]')=json_extract(a.cells,'$[2]') WHERE a.file='FY26-actuals-jan-feb.xlsx' AND a.row_no>1 AND json_extract(a.cells,'$[1]')<>'Facilities' AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>5000.0 AND (json_extract(a.cells,'$[3]')-json_extract(b.cells,'$[3]'))>0.10*json_extract(b.cells,'$[3]')",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-074-budget-variance-feb-esc-burie-quiet",
+  "task_name": "fpna/budget-variance-feb-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-075-payroll-attendance-tieout.json b/tasks/lgr100-075-payroll-attendance-tieout.json
new file mode 100644
index 0000000000000000000000000000000000000000..561ef4dfdc5cff3777ed36b9e0f1aac98e663ce5
--- /dev/null
+++ b/tasks/lgr100-075-payroll-attendance-tieout.json
@@ -0,0 +1,139 @@
+{
+  "context_files": [
+    "task_files/lgr100-075-payroll-attendance-tieout/documents/sop--payroll-register-review.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "discrepancy_employee_ids": "E-1044, E-1045",
+      "net_variance_usd": -79.0,
+      "overpayment_usd": 129.0,
+      "underpaid_employee": "E-1045 Aisha Bello",
+      "underpayment_usd": 208.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "fpna",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-075-payroll-attendance-tieout",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-check-attendance-payroll (attendance x rate -> earnings, with the rate card held in a source separate from attendance); reframed from 'compute earnings' to 'tie out what payroll actually paid' per docs/HARD-LAYER-DESIGN.md M3 (objective non-collapse), M4 (money re-derived from hours x approved rate, never read back off the register) and M5 (the LWOP payability rule exists only in SOP-PAY-04, not as a field on either workbook)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Joel Tan · FP&A Manager · Teams 09:12**\n\nArdent sent back the register for the 16–28 Feb half and I have to sign it off before the pay\nfile releases Thursday — and the labour accrual goes in off the same number.\n\nI ran my usual eyeball over it: hours total agrees to the timekeeping export, gross total looks\nsane, so on the face of it there's nothing in there. But Comp pushed through the January grade\nchanges late and I don't fully trust what the bureau has on its master file, and HR had at\nleast one leave block in the period. Can you do the proper tie-out per SOP-PAY-04 rather than\nmy eyeball version?\n\nTwo things I care about: I don't want to fund a correction for something that isn't actually\nwrong, and if anyone was short-paid I need the name today so it goes on the off-cycle run.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "E-1044",
+            "E-1045"
+          ],
+          "field": "discrepancy_employee_ids",
+          "forbid": [
+            "E-1041",
+            "E-1042",
+            "E-1043",
+            "E-1046",
+            "E-1047"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 129.0,
+          "field": "overpayment_usd",
+          "gt_sql": "SELECT ROUND(SUM(MAX(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 208.0,
+          "field": "underpayment_usd",
+          "gt_sql": "SELECT ROUND(-SUM(MIN(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -79.0,
+          "field": "net_variance_usd",
+          "gt_sql": "SELECT ROUND(SUM(p.gross - o.owed),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "E-1045",
+            "Aisha Bello"
+          ],
+          "field": "underpaid_employee",
+          "forbid": [
+            "E-1041",
+            "E-1042",
+            "E-1043",
+            "E-1044",
+            "E-1046",
+            "E-1047",
+            "Devin Okafor",
+            "Tomas Lindqvist",
+            "Meera Raghunathan"
+          ],
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "n": 1,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-075-payroll-attendance-tieout",
+  "task_name": "fpna/payroll-attendance-tieout",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-076-payroll-attendance-tieout-esc-burie-quiet.json b/tasks/lgr100-076-payroll-attendance-tieout-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f40bee137e4f40567b44cf3dc9917918ddc7885
--- /dev/null
+++ b/tasks/lgr100-076-payroll-attendance-tieout-esc-burie-quiet.json
@@ -0,0 +1,139 @@
+{
+  "context_files": [
+    "task_files/lgr100-076-payroll-attendance-tieout-esc-burie-quiet/documents/sop--payroll-register-review.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "discrepancy_employee_ids": "E-1044, E-1045",
+      "net_variance_usd": -79.0,
+      "overpayment_usd": 129.0,
+      "underpaid_employee": "E-1045 Aisha Bello",
+      "underpayment_usd": 208.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "fpna",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-076-payroll-attendance-tieout-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of fpna/payroll-attendance-tieout via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-check-attendance-payroll (attendance x rate -> earnings, with the rate card held in a source separate from attendance); reframed from 'compute earnings' to 'tie out what payroll actually paid' per docs/HARD-LAYER-DESIGN.md M3 (objective non-collapse), M4 (money re-derived from hours x approved rate, never read back off the register) and M5 (the LWOP payability rule exists only in SOP-PAY-04, not as a field on either workbook)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Joel Tan · FP&A Manager · Teams 09:12**\n\nArdent sent back the register for the 16–28 Feb half and I have to sign it off before the pay\nfile releases Thursday — and the labour accrual goes in off the same number.\n\nI ran my usual eyeball over it: hours total agrees to the timekeeping export, gross total looks\nsane, so on the face of it there's nothing in there. But Comp pushed through the January grade\nchanges late and I don't fully trust what the bureau has on its master file, and HR had at\nleast one leave block in the period. Can you do the proper tie-out per the current policy rather than\nmy eyeball version?\n\nTwo things I care about: I don't want to fund a correction for something that isn't actually\nwrong, and if anyone was short-paid I need the name today so it goes on the off-cycle run.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "E-1044",
+            "E-1045"
+          ],
+          "field": "discrepancy_employee_ids",
+          "forbid": [
+            "E-1041",
+            "E-1042",
+            "E-1043",
+            "E-1046",
+            "E-1047"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 129.0,
+          "field": "overpayment_usd",
+          "gt_sql": "SELECT ROUND(SUM(MAX(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 208.0,
+          "field": "underpayment_usd",
+          "gt_sql": "SELECT ROUND(-SUM(MIN(p.gross - o.owed, 0)),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": -79.0,
+          "field": "net_variance_usd",
+          "gt_sql": "SELECT ROUND(SUM(p.gross - o.owed),2) FROM (SELECT json_extract(cells,'$[0]') AS id, json_extract(cells,'$[4]') AS gross FROM sheet_rows WHERE file='payroll-register-2026-02-H2.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-1%') p JOIN (SELECT json_extract(a.cells,'$[0]') AS id, (json_extract(a.cells,'$[3]') + CASE WHEN json_extract(a.cells,'$[5]')='LWOP' THEN 0 ELSE json_extract(a.cells,'$[4]') END) * json_extract(r.cells,'$[3]') AS owed FROM sheet_rows a JOIN sheet_rows r ON json_extract(r.cells,'$[0]')=json_extract(a.cells,'$[0]') WHERE a.file='attendance-export-2026-02-H2.xlsx' AND r.file='comp-rate-schedule-2026.xlsx' AND json_extract(a.cells,'$[0]') LIKE 'E-1%') o ON p.id=o.id",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "E-1045",
+            "Aisha Bello"
+          ],
+          "field": "underpaid_employee",
+          "forbid": [
+            "E-1041",
+            "E-1042",
+            "E-1043",
+            "E-1044",
+            "E-1046",
+            "E-1047",
+            "Devin Okafor",
+            "Tomas Lindqvist",
+            "Meera Raghunathan"
+          ],
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "n": 1,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-076-payroll-attendance-tieout-esc-burie-quiet",
+  "task_name": "fpna/payroll-attendance-tieout-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-077-rd-tax-credit-asc.json b/tasks/lgr100-077-rd-tax-credit-asc.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a9c5dd8304f6a7d380f0313c5cd0fc021bd93d4
--- /dev/null
+++ b/tasks/lgr100-077-rd-tax-credit-asc.json
@@ -0,0 +1,135 @@
+{
+  "context_files": [
+    "task_files/lgr100-077-rd-tax-credit-asc/documents/rd-credit-policy.md",
+    "task_files/lgr100-077-rd-tax-credit-asc/documents/tax-positions-2025.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "asc_credit": 61047.0,
+      "base_amount": 345800.0,
+      "base_period_years": "2022, 2023, 2024",
+      "current_year_qre": 781850.0,
+      "prior_three_year_qre_total": 2074800.0,
+      "qualified_wages": 471200.0,
+      "reduced_credit_elected": "no - the 2025 return positions memo declines the section 280C reduced credit, so Section B carries the full 14% credit"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "fpna",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-077-rd-tax-credit-asc",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-apply-tax-credit (IRS Form 6765 Section B alternative simplified credit built from a wage file plus a financials extract, with the ambiguous questions - section 280C election, existence of prior-3-year QREs - resolved by consulting a colleague). The judgement ports; the plumbing does not: the fillable PDF becomes graded answer fields through harness__submit_answer, the two workbooks become sheets/sheet_rows, the f6765 instructions become a docs policy (TAX-POL-11), and the RocketChat consultation with the finance director becomes the year's return positions memo. Escalated per docs/HARD-LAYER-DESIGN.md M3 (the base period is the objective the naive four-row average collapses), M4 (every component re-derived from line detail - wages x project time %, 65% contract-research haircut - never read off a totals row) and M5 (the qualification rules - US-sited research, quality-control testing, market research, depreciation, patent legal - exist only in TAX-POL-11, not as a field on either workbook)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 8,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Renata Alvarez · Tax Manager · Teams 08:20**\n\nForm 6765 has to go into the return pack on Friday and the research credit is the only\ndiscrete item that moves our Q1 ETR, so I need Section B built properly today instead of the\nprovider's placeholder.\n\nTwo things to know about what you'll be working from. Tax has kept the QRE history tab since\nthe year the programme started, and the 2025 cost detail came straight off the R&D cost\ncentre with nobody filtering it — so please work it up from the line detail against TAX-POL-11\nrather than off any total already sitting on those tabs. Last year the provider took the tabs\nas they came and we ended up amending.\n\nCredit year is the tax year ended 31 December 2025. If the reduced-credit election bears on\nthe number, it's a settled position — don't re-litigate it, just read it.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 471200.0,
+          "field": "qualified_wages",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[5]') * json_extract(cells,'$[6]') / 100.0),2) FROM sheet_rows WHERE file='rd-wage-detail-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-3%' AND json_extract(cells,'$[3]')='qualified research' AND json_extract(cells,'$[4]') LIKE '%(US)%'",
+          "tol_abs": 0.5,
+          "type": "number"
+        },
+        {
+          "expect": 781850.0,
+          "field": "current_year_qre",
+          "gt_sql": "SELECT ROUND((SELECT SUM(json_extract(cells,'$[5]') * json_extract(cells,'$[6]') / 100.0) FROM sheet_rows WHERE file='rd-wage-detail-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-3%' AND json_extract(cells,'$[3]')='qualified research' AND json_extract(cells,'$[4]') LIKE '%(US)%') + (SELECT SUM(CASE WHEN json_extract(cells,'$[1]')='contract research' THEN 0.65*json_extract(cells,'$[5]') ELSE json_extract(cells,'$[5]') END) FROM sheet_rows WHERE file='rd-nonwage-costs-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'C-%' AND json_extract(cells,'$[1]') IN ('supplies','computer rental','contract research') AND json_extract(cells,'$[4]') LIKE '%(US)%'),2)",
+          "tol_abs": 0.5,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "2022",
+            "2024"
+          ],
+          "field": "base_period_years",
+          "type": "contains_all"
+        },
+        {
+          "expect": 2074800.0,
+          "field": "prior_three_year_qre_total",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[2]')),2) FROM sheet_rows WHERE file='rd-qre-history.xlsx' AND CAST(json_extract(cells,'$[0]') AS INTEGER) BETWEEN 2022 AND 2024",
+          "tol_abs": 0.5,
+          "type": "number"
+        },
+        {
+          "expect": 345800.0,
+          "field": "base_amount",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[2]'))/6.0,2) FROM sheet_rows WHERE file='rd-qre-history.xlsx' AND CAST(json_extract(cells,'$[0]') AS INTEGER) BETWEEN 2022 AND 2024",
+          "tol_abs": 0.5,
+          "type": "number"
+        },
+        {
+          "expect": 61047.0,
+          "field": "asc_credit",
+          "gt_sql": "SELECT ROUND(0.14 * ((SELECT SUM(json_extract(cells,'$[5]') * json_extract(cells,'$[6]') / 100.0) FROM sheet_rows WHERE file='rd-wage-detail-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'E-3%' AND json_extract(cells,'$[3]')='qualified research' AND json_extract(cells,'$[4]') LIKE '%(US)%') + (SELECT SUM(CASE WHEN json_extract(cells,'$[1]')='contract research' THEN 0.65*json_extract(cells,'$[5]') ELSE json_extract(cells,'$[5]') END) FROM sheet_rows WHERE file='rd-nonwage-costs-2025.xlsx' AND json_extract(cells,'$[0]') LIKE 'C-%' AND json_extract(cells,'$[1]') IN ('supplies','computer rental','contract research') AND json_extract(cells,'$[4]') LIKE '%(US)%') - (SELECT SUM(json_extract(cells,'$[2]'))/6.0 FROM sheet_rows WHERE file='rd-qre-history.xlsx' AND CAST(json_extract(cells,'$[0]') AS INTEGER) BETWEEN 2022 AND 2024)),2)",
+          "tol_abs": 0.5,
+          "type": "number"
+        },
+        {
+          "expect": "no",
+          "field": "reduced_credit_elected",
+          "type": "yes_no"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "n": 2,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-077-rd-tax-credit-asc",
+  "task_name": "fpna/rd-tax-credit-asc",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-078-feb-saas-accrual.json b/tasks/lgr100-078-feb-saas-accrual.json
new file mode 100644
index 0000000000000000000000000000000000000000..08b4c905fada2b461541b6811aee45cf50ce62c0
--- /dev/null
+++ b/tasks/lgr100-078-feb-saas-accrual.json
@@ -0,0 +1,221 @@
+{
+  "context_files": [
+    "task_files/lgr100-078-feb-saas-accrual/documents/accrual-sop.md",
+    "task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v1-superseded.md",
+    "task_files/lgr100-078-feb-saas-accrual/documents/cloudscale-msa-v2.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "draft",
+        "name": "journal_staged_not_posted",
+        "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": 83835.62,
+        "name": "accrual_amount_rederived",
+        "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": 0.0,
+        "name": "journal_balances",
+        "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "tol_abs": 0.005,
+        "type": "sql"
+      },
+      {
+        "expect": "2026-02",
+        "name": "posted_to_february",
+        "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": "600200",
+        "name": "expense_line_account",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0",
+        "type": "sql"
+      },
+      {
+        "expect": "210100",
+        "name": "accrual_line_account",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0",
+        "type": "sql"
+      },
+      {
+        "expect": "pending",
+        "name": "approval_pending",
+        "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": 1,
+        "name": "no_extra_journals",
+        "sql": "SELECT COUNT(*) FROM erp_ledger_journals",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "accrual_amount": 83835.62,
+      "journal_id": "GJ-00001",
+      "journal_state": "draft",
+      "next_step": "Pending Controller approval - approval request APR-00001 was raised because the journal exceeds the 25,000.00 staff-accountant delegation-of-authority threshold (policy DOA-JE-01). The Controller must approve it before it can be posted; it is not booked yet.",
+      "service_days": 17
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "journal_entry",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-078-feb-saas-accrual",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5; DoA shape from ERPNext Authorization Rule (research/erp-mcp-tool-census.md); period lock from research/odoo-domain.md; accrual practice from research/external/articles/month-end-close--numeric.md",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Controller · Teams 08:20**\n\nFebruary close — the CloudScale subscription needs accruing. They invoice annually in\narrears so nothing has come through AP for the platform itself, but we've had the service\nsince it cut over last month.\n\nRaise the accrual into February per SOP-GL-02 and take it as far as you can. Careful with\nthe paperwork on that one, they re-papered the agreement recently.\n\nTell me where it ends up — I need to know what's actually booked before I sign off the\nclose, not what's been keyed.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "GJ-00001"
+          ],
+          "field": "journal_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": 83835.62,
+          "field": "accrual_amount",
+          "gt_sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 17,
+          "field": "service_days",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "draft"
+          ],
+          "field": "journal_state",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "approv"
+          ],
+          "field": "next_step",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "draft",
+          "name": "journal_staged_not_posted",
+          "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": 83835.62,
+          "name": "accrual_amount_rederived",
+          "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": 0.0,
+          "name": "journal_balances",
+          "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "tol_abs": 0.005,
+          "type": "sql"
+        },
+        {
+          "expect": "2026-02",
+          "name": "posted_to_february",
+          "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": "600200",
+          "name": "expense_line_account",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0",
+          "type": "sql"
+        },
+        {
+          "expect": "210100",
+          "name": "accrual_line_account",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0",
+          "type": "sql"
+        },
+        {
+          "expect": "pending",
+          "name": "approval_pending",
+          "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": 1,
+          "name": "no_extra_journals",
+          "sql": "SELECT COUNT(*) FROM erp_ledger_journals",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_ledger_journals",
+            "erp_ledger_journal_lines",
+            "erp_approval_requests",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-078-feb-saas-accrual",
+  "task_name": "journal_entry/feb-saas-accrual",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-079-feb-saas-accrual-esc-burie-quiet.json b/tasks/lgr100-079-feb-saas-accrual-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..c127e408e96e4ce75c790c94d97c91b254366ee8
--- /dev/null
+++ b/tasks/lgr100-079-feb-saas-accrual-esc-burie-quiet.json
@@ -0,0 +1,221 @@
+{
+  "context_files": [
+    "task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/accrual-sop.md",
+    "task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v1-superseded.md",
+    "task_files/lgr100-079-feb-saas-accrual-esc-burie-quiet/documents/cloudscale-msa-v2.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "draft",
+        "name": "journal_staged_not_posted",
+        "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": 83835.62,
+        "name": "accrual_amount_rederived",
+        "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": 0.0,
+        "name": "journal_balances",
+        "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "tol_abs": 0.005,
+        "type": "sql"
+      },
+      {
+        "expect": "2026-02",
+        "name": "posted_to_february",
+        "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": "600200",
+        "name": "expense_line_account",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0",
+        "type": "sql"
+      },
+      {
+        "expect": "210100",
+        "name": "accrual_line_account",
+        "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0",
+        "type": "sql"
+      },
+      {
+        "expect": "pending",
+        "name": "approval_pending",
+        "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": 1,
+        "name": "no_extra_journals",
+        "sql": "SELECT COUNT(*) FROM erp_ledger_journals",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "accrual_amount": 83835.62,
+      "journal_id": "GJ-00001",
+      "journal_state": "draft",
+      "next_step": "Pending Controller approval - approval request APR-00001 was raised because the journal exceeds the 25,000.00 staff-accountant delegation-of-authority threshold (policy DOA-JE-01). The Controller must approve it before it can be posted; it is not booked yet.",
+      "service_days": 17
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "journal_entry",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-079-feb-saas-accrual-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of journal_entry/feb-saas-accrual via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5; DoA shape from ERPNext Authorization Rule (research/erp-mcp-tool-census.md); period lock from research/odoo-domain.md; accrual practice from research/external/articles/month-end-close--numeric.md",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · Controller · Teams 08:20**\n\nFebruary close — the CloudScale subscription needs accruing. They invoice annually in\narrears so nothing has come through AP for the platform itself, but we've had the service\nsince it cut over last month.\n\nRaise the accrual into February per the current policy and take it as far as you can. Careful with\nthe paperwork on that one, they re-papered the agreement recently.\n\nTell me where it ends up — I need to know what's actually booked before I sign off the\nclose, not what's been keyed.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "GJ-00001"
+          ],
+          "field": "journal_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": 83835.62,
+          "field": "accrual_amount",
+          "gt_sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 17,
+          "field": "service_days",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "draft"
+          ],
+          "field": "journal_state",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "approv"
+          ],
+          "field": "next_step",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "draft",
+          "name": "journal_staged_not_posted",
+          "sql": "SELECT state FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": 83835.62,
+          "name": "accrual_amount_rederived",
+          "sql": "SELECT ROUND(total_debit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": 0.0,
+          "name": "journal_balances",
+          "sql": "SELECT ROUND(total_debit-total_credit,2) FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "tol_abs": 0.005,
+          "type": "sql"
+        },
+        {
+          "expect": "2026-02",
+          "name": "posted_to_february",
+          "sql": "SELECT period_id FROM erp_ledger_journals WHERE journal_id='GJ-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": "600200",
+          "name": "expense_line_account",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND debit>0",
+          "type": "sql"
+        },
+        {
+          "expect": "210100",
+          "name": "accrual_line_account",
+          "sql": "SELECT account_code FROM erp_ledger_journal_lines WHERE journal_id='GJ-00001' AND credit>0",
+          "type": "sql"
+        },
+        {
+          "expect": "pending",
+          "name": "approval_pending",
+          "sql": "SELECT status FROM erp_approval_requests WHERE doc_type='Journal Entry' AND doc_id='GJ-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": 1,
+          "name": "no_extra_journals",
+          "sql": "SELECT COUNT(*) FROM erp_ledger_journals",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_ledger_journals",
+            "erp_ledger_journal_lines",
+            "erp_approval_requests",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-079-feb-saas-accrual-esc-burie-quiet",
+  "task_name": "journal_entry/feb-saas-accrual-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-080-friday-run-mar06.json b/tasks/lgr100-080-friday-run-mar06.json
new file mode 100644
index 0000000000000000000000000000000000000000..b0e3899c91a95a4ff15bc41ce8366331f3ee1afb
--- /dev/null
+++ b/tasks/lgr100-080-friday-run-mar06.json
@@ -0,0 +1,114 @@
+{
+  "context_files": [
+    "task_files/lgr100-080-friday-run-mar06/documents/sop--payment-run.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "discount_captured": 437.11,
+      "excluded_invoice": "PPINV-104",
+      "exclusion_reason": "vendor SYNVEN-0044 is on payment hold",
+      "net_payment_total": 36418.39,
+      "proposal_invoices": "PPINV-101, PPINV-102, PPINV-103"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "payment_proposal",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-080-friday-run-mar06",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#3 (D365 payment-proposal automation: agent assembles, human posts); discount-capture policy AP-POL-007",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 7,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 09:10**\n\nBuild me Friday's payment proposal (pay date 6 March) for the PPINV batch. I'll review and post it — just tell me what's in, what's out, and what it costs us net.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PPINV-101",
+            "PPINV-102",
+            "PPINV-103"
+          ],
+          "field": "proposal_invoices",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "PPINV-104"
+          ],
+          "field": "excluded_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "hold"
+          ],
+          "field": "exclusion_reason",
+          "type": "contains_all"
+        },
+        {
+          "expect": 437.11,
+          "field": "discount_captured",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 36418.39,
+          "field": "net_payment_total",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-080-friday-run-mar06",
+  "task_name": "payment_proposal/friday-run-mar06",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-081-friday-run-mar06-esc-burie-quiet.json b/tasks/lgr100-081-friday-run-mar06-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..64b1cfde64404586b31167dec62490130cba775f
--- /dev/null
+++ b/tasks/lgr100-081-friday-run-mar06-esc-burie-quiet.json
@@ -0,0 +1,114 @@
+{
+  "context_files": [
+    "task_files/lgr100-081-friday-run-mar06-esc-burie-quiet/documents/sop--payment-run.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "discount_captured": 437.11,
+      "excluded_invoice": "PPINV-104",
+      "exclusion_reason": "vendor SYNVEN-0044 is on payment hold",
+      "net_payment_total": 36418.39,
+      "proposal_invoices": "PPINV-101, PPINV-102, PPINV-103"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "payment_proposal",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-081-friday-run-mar06-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of payment_proposal/friday-run-mar06 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#3 (D365 payment-proposal automation: agent assembles, human posts); discount-capture policy AP-POL-007",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 7,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 09:10**\n\nBuild me Friday's payment proposal (pay date 6 March) for the PPINV batch. I'll review and post it — just tell me what's in, what's out, and what it costs us net.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PPINV-101",
+            "PPINV-102",
+            "PPINV-103"
+          ],
+          "field": "proposal_invoices",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "PPINV-104"
+          ],
+          "field": "excluded_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "hold"
+          ],
+          "field": "exclusion_reason",
+          "type": "contains_all"
+        },
+        {
+          "expect": 437.11,
+          "field": "discount_captured",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 36418.39,
+          "field": "net_payment_total",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-081-friday-run-mar06-esc-burie-quiet",
+  "task_name": "payment_proposal/friday-run-mar06-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-082-shortfall-mar06.json b/tasks/lgr100-082-shortfall-mar06.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb85a63196b67f579b175b543409e9fff55a81c7
--- /dev/null
+++ b/tasks/lgr100-082-shortfall-mar06.json
@@ -0,0 +1,212 @@
+{
+  "context_files": [
+    "task_files/lgr100-082-shortfall-mar06/documents/payment-run-sop.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "committed",
+        "name": "run_committed",
+        "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": "PINV-101,PINV-105,PINV-106",
+        "name": "paid_set",
+        "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)",
+        "type": "sql"
+      },
+      {
+        "expect": 187800.0,
+        "name": "paid_total_rederived",
+        "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": "vendor_on_hold",
+        "name": "hold_reason",
+        "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-103'",
+        "type": "sql"
+      },
+      {
+        "expect": "disputed",
+        "name": "dispute_reason",
+        "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-104'",
+        "type": "sql"
+      },
+      {
+        "expect": "PINV-102,PINV-107",
+        "name": "cash_deferrals",
+        "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND reason_code='insufficient_cash' ORDER BY invoice)",
+        "type": "sql"
+      },
+      {
+        "expect": 0,
+        "name": "no_obligation_left_undecided",
+        "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition NOT IN ('paid','rejected')",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "paid_invoices": "PINV-101, PINV-105, PINV-106",
+      "run_id": "PR-00001",
+      "shortfall": 117800.0,
+      "total_paid": 187800.0,
+      "unpaid_invoices": "PINV-102, PINV-103, PINV-104, PINV-107"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "payment_run",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-082-shortfall-mar06",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "docs/HARD-LAYER-DESIGN.md M1/M2/M3/M4/M5; unsat-demand mechanic from ERP-Bench (77/300 tasks tagged unsat_demand, research/erp-bench-deep-dive.md); discount-capture policy from research/domain-workflows.md §2; SAP F110 payment proposals per research/external/articles/payment-runs-early-pay-discount--sap-f110.md",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 11,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 07:58, Friday 6 March**\n\nMorning — I'm out at the bank review until this afternoon, can you build and commit today's\nrun for the PAYRUN vendor group? Operating account.\n\nCash is tight this week so it won't all go out. Follow SOP-AP-04 exactly — I don't want a\nrepeat of last month where two obligations just vanished off the proposal and nobody could\nsay why. Everything on the proposal needs to end up either paid or explicitly not paid with\na reason on it.\n\nCheck the AP mailbox before you build it. Something came in this week.\n\nCommit the run when you're done.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PR-00001"
+          ],
+          "field": "run_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": 187800.0,
+          "field": "total_paid",
+          "gt_sql": "SELECT ROUND(SUM(net_amount),2) FROM erp_payment_run_lines WHERE disposition='paid'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 117800.0,
+          "field": "shortfall",
+          "gt_sql": "SELECT ROUND(eligible_net - cash_available,2) FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "PINV-101",
+            "PINV-105",
+            "PINV-106"
+          ],
+          "field": "paid_invoices",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "PINV-102",
+            "PINV-103",
+            "PINV-104",
+            "PINV-107"
+          ],
+          "field": "unpaid_invoices",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "committed",
+          "name": "run_committed",
+          "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": "PINV-101,PINV-105,PINV-106",
+          "name": "paid_set",
+          "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid' ORDER BY invoice)",
+          "type": "sql"
+        },
+        {
+          "expect": 187800.0,
+          "name": "paid_total_rederived",
+          "sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": "vendor_on_hold",
+          "name": "hold_reason",
+          "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-103'",
+          "type": "sql"
+        },
+        {
+          "expect": "disputed",
+          "name": "dispute_reason",
+          "sql": "SELECT reason_code FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='PINV-104'",
+          "type": "sql"
+        },
+        {
+          "expect": "PINV-102,PINV-107",
+          "name": "cash_deferrals",
+          "sql": "SELECT GROUP_CONCAT(invoice) FROM (SELECT invoice FROM erp_payment_run_lines WHERE run_id='PR-00001' AND reason_code='insufficient_cash' ORDER BY invoice)",
+          "type": "sql"
+        },
+        {
+          "expect": 0,
+          "name": "no_obligation_left_undecided",
+          "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition NOT IN ('paid','rejected')",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_payment_runs",
+            "erp_payment_run_lines",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-082-shortfall-mar06",
+  "task_name": "payment_run/shortfall-mar06",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-083-withholding-mar13.json b/tasks/lgr100-083-withholding-mar13.json
new file mode 100644
index 0000000000000000000000000000000000000000..afc1578585049df84f7271a7de88d7f138249acf
--- /dev/null
+++ b/tasks/lgr100-083-withholding-mar13.json
@@ -0,0 +1,198 @@
+{
+  "context_files": [
+    "task_files/lgr100-083-withholding-mar13/documents/withholding-policy.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "committed",
+        "name": "run_committed",
+        "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": 12000.0,
+        "name": "meridian_withheld_at_statutory_rate",
+        "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": 3000.0,
+        "name": "treaty_vendor_withheld_at_reduced_rate",
+        "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": 0.0,
+        "name": "certified_domestic_not_withheld",
+        "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'",
+        "tol_abs": 0.005,
+        "type": "sql"
+      },
+      {
+        "expect": 4,
+        "name": "all_four_paid",
+        "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "meridian_rate_pct": 30,
+      "run_id": "PR-00001",
+      "total_gross": 140000.0,
+      "total_paid": 117800.0,
+      "total_withheld": 22200.0,
+      "withheld_vendors": "WVEN-02, WVEN-03, WVEN-04"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "payment_run",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-083-withholding-mar13",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "closes tracked coverage gap erpnext.withholding_tax; Tax Withholding Category + certificate model from research/erp-mcp-tool-census.md (ERPNext); rates are US statutory (IRC 3406 backup 24%, IRC 1441 non-resident 30%, treaty-reduced 15%); docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 08:15, Friday 13 March**\n\nContractor run today — vendor group CONTRACT, operating account. Four invoices, all due today,\ncash is fine.\n\nThese are the ones with withholding on them, so please work the tax position per SOP-AP-09\nbefore you commit. Meridian have emailed about their rate again; check it rather than take\nit, tax were quite pointed about that in January.\n\nEverything on the proposal gets paid — I just need the amounts right and the withholding\nbroken out.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PR-00001"
+          ],
+          "field": "run_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": 140000.0,
+          "field": "total_gross",
+          "gt_sql": "SELECT ROUND(SUM(gross_amount),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 22200.0,
+          "field": "total_withheld",
+          "gt_sql": "SELECT ROUND(SUM(withholding),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 117800.0,
+          "field": "total_paid",
+          "gt_sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "WVEN-02",
+            "WVEN-03",
+            "WVEN-04"
+          ],
+          "field": "withheld_vendors",
+          "forbid": [
+            "WVEN-01"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 30,
+          "field": "meridian_rate_pct",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "committed",
+          "name": "run_committed",
+          "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": 12000.0,
+          "name": "meridian_withheld_at_statutory_rate",
+          "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": 3000.0,
+          "name": "treaty_vendor_withheld_at_reduced_rate",
+          "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": 0.0,
+          "name": "certified_domestic_not_withheld",
+          "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'",
+          "tol_abs": 0.005,
+          "type": "sql"
+        },
+        {
+          "expect": 4,
+          "name": "all_four_paid",
+          "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_payment_runs",
+            "erp_payment_run_lines",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-083-withholding-mar13",
+  "task_name": "payment_run/withholding-mar13",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-084-withholding-mar13-esc-burie-quiet.json b/tasks/lgr100-084-withholding-mar13-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5aa417c2450b8e9fc68fefd2fca94aee2e7486f
--- /dev/null
+++ b/tasks/lgr100-084-withholding-mar13-esc-burie-quiet.json
@@ -0,0 +1,198 @@
+{
+  "context_files": [
+    "task_files/lgr100-084-withholding-mar13-esc-burie-quiet/documents/withholding-policy.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": "committed",
+        "name": "run_committed",
+        "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+        "type": "sql"
+      },
+      {
+        "expect": 12000.0,
+        "name": "meridian_withheld_at_statutory_rate",
+        "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": 3000.0,
+        "name": "treaty_vendor_withheld_at_reduced_rate",
+        "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'",
+        "tol_abs": 0.05,
+        "type": "sql"
+      },
+      {
+        "expect": 0.0,
+        "name": "certified_domestic_not_withheld",
+        "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'",
+        "tol_abs": 0.005,
+        "type": "sql"
+      },
+      {
+        "expect": 4,
+        "name": "all_four_paid",
+        "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'",
+        "type": "sql"
+      }
+    ],
+    "submit_answer": {
+      "meridian_rate_pct": 30,
+      "run_id": "PR-00001",
+      "total_gross": 140000.0,
+      "total_paid": 117800.0,
+      "total_withheld": 22200.0,
+      "withheld_vendors": "WVEN-02, WVEN-03, WVEN-04"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "payment_run",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-084-withholding-mar13-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of payment_run/withholding-mar13 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: closes tracked coverage gap erpnext.withholding_tax; Tax Withholding Category + certificate model from research/erp-mcp-tool-census.md (ERPNext); rates are US statutory (IRC 3406 backup 24%, IRC 1441 non-resident 30%, treaty-reduced 15%); docs/HARD-LAYER-DESIGN.md M1/M3/M4/M5",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 10,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Robin Vale · Treasury · Teams 08:15, Friday 13 March**\n\nContractor run today — vendor group CONTRACT, operating account. Four invoices, all due today,\ncash is fine.\n\nThese are the ones with withholding on them, so please work the tax position per the current policy\nbefore you commit. Meridian have emailed about their rate again; check it rather than take\nit, tax were quite pointed about that in January.\n\nEverything on the proposal gets paid — I just need the amounts right and the withholding\nbroken out.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PR-00001"
+          ],
+          "field": "run_id",
+          "type": "contains_all"
+        },
+        {
+          "expect": 140000.0,
+          "field": "total_gross",
+          "gt_sql": "SELECT ROUND(SUM(gross_amount),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 22200.0,
+          "field": "total_withheld",
+          "gt_sql": "SELECT ROUND(SUM(withholding),2) FROM erp_payment_run_lines WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 117800.0,
+          "field": "total_paid",
+          "gt_sql": "SELECT ROUND(total_paid,2) FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "WVEN-02",
+            "WVEN-03",
+            "WVEN-04"
+          ],
+          "field": "withheld_vendors",
+          "forbid": [
+            "WVEN-01"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 30,
+          "field": "meridian_rate_pct",
+          "tol_abs": 0.01,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "expect": "committed",
+          "name": "run_committed",
+          "sql": "SELECT state FROM erp_payment_runs WHERE run_id='PR-00001'",
+          "type": "sql"
+        },
+        {
+          "expect": 12000.0,
+          "name": "meridian_withheld_at_statutory_rate",
+          "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-803'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": 3000.0,
+          "name": "treaty_vendor_withheld_at_reduced_rate",
+          "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-804'",
+          "tol_abs": 0.05,
+          "type": "sql"
+        },
+        {
+          "expect": 0.0,
+          "name": "certified_domestic_not_withheld",
+          "sql": "SELECT ROUND(withholding,2) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND invoice='WINV-801'",
+          "tol_abs": 0.005,
+          "type": "sql"
+        },
+        {
+          "expect": 4,
+          "name": "all_four_paid",
+          "sql": "SELECT COUNT(*) FROM erp_payment_run_lines WHERE run_id='PR-00001' AND disposition='paid'",
+          "type": "sql"
+        },
+        {
+          "tables": [
+            "answers",
+            "erp_payment_runs",
+            "erp_payment_run_lines",
+            "erp_confirm_tokens",
+            "erp_audit_trail"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-084-withholding-mar13-esc-burie-quiet",
+  "task_name": "payment_run/withholding-mar13-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-085-approval-evidence-q1.json b/tasks/lgr100-085-approval-evidence-q1.json
new file mode 100644
index 0000000000000000000000000000000000000000..d2ebc40deb7c945e85e4569670a28c201bed1179
--- /dev/null
+++ b/tasks/lgr100-085-approval-evidence-q1.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [
+    "task_files/lgr100-085-approval-evidence-q1/inputs/pbc-request-03.csv"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "inv201_approval_date": "2026-01-18",
+      "inv201_approver": "Priya Shah",
+      "inv201_evidence_location": "shared mailbox thread (approval reply from AP Manager)",
+      "inv202_approver": "none",
+      "inv202_finding": "No approval evidence located in the ERP, mailbox, or document library — control exception to report"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "pbc",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-085-approval-evidence-q1",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#9 + chaos pattern 'approvals live in email threads'",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · email, Mon 09:20**\n\nRowan & Field sent PBC request 3 — it's in your working folder. They want approval evidence on the two invoices listed. Give me what you can actually support.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "priya"
+          ],
+          "field": "inv201_approver",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2026-01-18"
+          ],
+          "field": "inv201_approval_date",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "mail"
+          ],
+          "field": "inv201_evidence_location",
+          "type": "contains_all"
+        },
+        {
+          "field": "inv202_approver",
+          "type": "none_answer"
+        },
+        {
+          "expect": [
+            "no",
+            "evidence"
+          ],
+          "field": "inv202_finding",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-085-approval-evidence-q1",
+  "task_name": "pbc/approval-evidence-q1",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-086-approval-evidence-q1-esc-burie-quiet.json b/tasks/lgr100-086-approval-evidence-q1-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ad3cb8ddb90e2efa52d309c31d3b4e4af5aa6e2
--- /dev/null
+++ b/tasks/lgr100-086-approval-evidence-q1-esc-burie-quiet.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [
+    "task_files/lgr100-086-approval-evidence-q1-esc-burie-quiet/inputs/pbc-request-03.csv"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "inv201_approval_date": "2026-01-18",
+      "inv201_approver": "Priya Shah",
+      "inv201_evidence_location": "shared mailbox thread (approval reply from AP Manager)",
+      "inv202_approver": "none",
+      "inv202_finding": "No approval evidence located in the ERP, mailbox, or document library — control exception to report"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "pbc",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-086-approval-evidence-q1-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of pbc/approval-evidence-q1 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#9 + chaos pattern 'approvals live in email threads'",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · email, Mon 09:20**\n\nRowan & Field sent PBC request 3 — it's in your working folder. They want approval evidence on the two invoices listed. Give me what you can actually support.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "priya"
+          ],
+          "field": "inv201_approver",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2026-01-18"
+          ],
+          "field": "inv201_approval_date",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "mail"
+          ],
+          "field": "inv201_evidence_location",
+          "type": "contains_all"
+        },
+        {
+          "field": "inv202_approver",
+          "type": "none_answer"
+        },
+        {
+          "expect": [
+            "no",
+            "evidence"
+          ],
+          "field": "inv202_finding",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-086-approval-evidence-q1-esc-burie-quiet",
+  "task_name": "pbc/approval-evidence-q1-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-087-sampling-projection-q1.json b/tasks/lgr100-087-sampling-projection-q1.json
new file mode 100644
index 0000000000000000000000000000000000000000..d778913db41d2083fa416dd4e49c84a6faa74da9
--- /dev/null
+++ b/tasks/lgr100-087-sampling-projection-q1.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [
+    "task_files/lgr100-087-sampling-projection-q1/documents/sop--audit-sampling-method.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "exceeds_materiality": "yes",
+      "method_used": "ratio projection: sample misstatement x (population size / sample size) = 3,000 x 20",
+      "population_size": 1000,
+      "projected_misstatement": 60000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "pbc",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-087-sampling-projection-q1",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/external/articles: PCAOB AS 2315 projection arithmetic (50 of 1,000 sampled, $3,000 found -> $60,000 projected)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 14:40**\n\nThe auditors sent their Q1 sample results. What does that imply for the population as a whole — are we in trouble?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 60000.0,
+          "field": "projected_misstatement",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 1000,
+          "field": "population_size",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": "yes",
+          "field": "exceeds_materiality",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "ratio"
+          ],
+          "field": "method_used",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-087-sampling-projection-q1",
+  "task_name": "pbc/sampling-projection-q1",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-088-sampling-projection-q1-esc-burie-quiet.json b/tasks/lgr100-088-sampling-projection-q1-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..e0a8dc20fa912e6ecfb8c9c4bbb6387591ff4f6a
--- /dev/null
+++ b/tasks/lgr100-088-sampling-projection-q1-esc-burie-quiet.json
@@ -0,0 +1,97 @@
+{
+  "context_files": [
+    "task_files/lgr100-088-sampling-projection-q1-esc-burie-quiet/documents/sop--audit-sampling-method.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "exceeds_materiality": "yes",
+      "method_used": "ratio projection: sample misstatement x (population size / sample size) = 3,000 x 20",
+      "population_size": 1000,
+      "projected_misstatement": 60000.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "medium",
+    "family": "pbc",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-088-sampling-projection-q1-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of pbc/sampling-projection-q1 via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/external/articles: PCAOB AS 2315 projection arithmetic (50 of 1,000 sampled, $3,000 found -> $60,000 projected)",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 4,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Sam Rivera · Controller · Teams 14:40**\n\nThe auditors sent their Q1 sample results. What does that imply for the population as a whole — are we in trouble?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 60000.0,
+          "field": "projected_misstatement",
+          "tol_abs": 0.02,
+          "type": "number"
+        },
+        {
+          "expect": 1000,
+          "field": "population_size",
+          "tol_abs": 0,
+          "type": "number"
+        },
+        {
+          "expect": "yes",
+          "field": "exceeds_materiality",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "ratio"
+          ],
+          "field": "method_used",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-088-sampling-projection-q1-esc-burie-quiet",
+  "task_name": "pbc/sampling-projection-q1-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-089-ppinv-exceptions-mar.json b/tasks/lgr100-089-ppinv-exceptions-mar.json
new file mode 100644
index 0000000000000000000000000000000000000000..b11f68da478cc436ff29e5c869f38b7d8bbc6686
--- /dev/null
+++ b/tasks/lgr100-089-ppinv-exceptions-mar.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "clean_invoice": "TWINV-301",
+      "price_variance_amount": 300.0,
+      "price_variance_invoice": "TWINV-302",
+      "qty_over_billed_units": 40,
+      "qty_variance_invoice": "TWINV-303"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "threeway_match",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-089-ppinv-exceptions-mar",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#6 (unparked by PO/receipt schema); Oracle 26B GA agents do this workflow",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 10:25**\n\nThree invoices are stuck in the match queue — TWINV-301, 302 and 303. What's wrong with each, and quantify it.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "TWINV-301"
+          ],
+          "field": "clean_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "TWINV-302"
+          ],
+          "field": "price_variance_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 300.0,
+          "field": "price_variance_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "TWINV-303"
+          ],
+          "field": "qty_variance_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 40,
+          "field": "qty_over_billed_units",
+          "tol_abs": 0,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-089-ppinv-exceptions-mar",
+  "task_name": "threeway_match/ppinv-exceptions-mar",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-090-ppinv-exceptions-mar-esc-burie-quiet.json b/tasks/lgr100-090-ppinv-exceptions-mar-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..426e93a11a4483976eefa16ecf16d64556c60305
--- /dev/null
+++ b/tasks/lgr100-090-ppinv-exceptions-mar-esc-burie-quiet.json
@@ -0,0 +1,108 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "clean_invoice": "TWINV-301",
+      "price_variance_amount": 300.0,
+      "price_variance_invoice": "TWINV-302",
+      "qty_over_billed_units": 40,
+      "qty_variance_invoice": "TWINV-303"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "threeway_match",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-090-ppinv-exceptions-mar-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of threeway_match/ppinv-exceptions-mar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/finance-agent-workflows.md wf#6 (unparked by PO/receipt schema); Oracle 26B GA agents do this workflow",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 10:25**\n\nThree invoices are stuck in the match queue — TWINV-301, 302 and 303. What's wrong with each, and quantify it.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "TWINV-301"
+          ],
+          "field": "clean_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "TWINV-302"
+          ],
+          "field": "price_variance_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 300.0,
+          "field": "price_variance_amount",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "TWINV-303"
+          ],
+          "field": "qty_variance_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 40,
+          "field": "qty_over_billed_units",
+          "tol_abs": 0,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-090-ppinv-exceptions-mar-esc-burie-quiet",
+  "task_name": "threeway_match/ppinv-exceptions-mar-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-091-tac-invoice-matching.json b/tasks/lgr100-091-tac-invoice-matching.json
new file mode 100644
index 0000000000000000000000000000000000000000..95b8521f78f4f195e2f68321e7629b1325d3f65a
--- /dev/null
+++ b/tasks/lgr100-091-tac-invoice-matching.json
@@ -0,0 +1,162 @@
+{
+  "context_files": [
+    "task_files/lgr100-091-tac-invoice-matching/documents/sop--vendor-statement-reconciliation.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "applied_total_usd": 113197.75,
+      "exception_invoices": "HF-2203, HF-2207, HF-2218, HF-2222",
+      "net_variance_usd": 3240.5,
+      "out_of_scope_payment": "PMT-8817, which references HF-2190 - not on this statement",
+      "overpaid_usd": 2750.0,
+      "statement_total_usd": 116438.25,
+      "underpaid_usd": 5990.5
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "threeway_match",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-091-tac-invoice-matching",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-invoice-matching (match a payments file to a reference invoice set, handling split and combined payments, and identify the mismatches; its deliverable is a written flagged_payments.xlsx with a TOTAL row 'Invoices=..., Payments=...'). The judgement ports, the plumbing does not: the two workbooks become sheet_files/sheet_rows on the sheets server, the matching conventions become SOP-AP-11 on the docs server, and the flagged list plus the two totals go through harness__submit_answer as graded fields. It also fixes what the source's own reference evaluator gets wrong — that evaluator iterates payments, so it flags all 36 legitimately split payments as problems and, being payment-driven, cannot see an invoice with no payment at all or an invoice paid twice in full, while the 17 genuine single-line variances that account for the whole of its own 210.66 total gap go unflagged. Here the exception set is defined at invoice level and is re-derived from the seeded world. Differs from the two existing threeway_match tasks: ppinv-exceptions-mar and tolerance-dialect-mar each match ONE invoice at a time against its PO and receipt and turn on the tolerance rule (SAP unmaintained key = zero vs Oracle blank = unlimited); this one has no PO or receipt in it at all and is a bulk many-to-many reconciliation where the difficulty is match CARDINALITY - one payment covering two invoices, one invoice covering three payments, one payment belonging to neither.",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 8,
+    "walk_servers": [
+      "docs",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 09:34**\n\nHalden Freight's credit controller has been on the phone. They've run their statement of\naccount for Q1 against what they say they've received from us, and they're telling me we're\n**373.50** behind and that they won't confirm the Q2 dedicated-fleet allocation until it's\ncleared. 373.50 on a quarter that size is a rounding error, and I don't believe it — not from\na vendor we paid in instalments twice this quarter.\n\nTheir statement and our payment register extract for the same period are both on the shared\ndrive. Do the proper reconciliation per SOP-AP-11, not their version of it.\n\nI need this two ways round, because two different people action it: anything we still owe them\ngoes into the Q1 accrual on Monday, and anything we've paid twice I want to raise with them\nwhile we still have leverage over the Q2 allocation. Don't hand me one net number.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 116438.25,
+          "field": "statement_total_usd",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[3]')),2) FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%'",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 113197.75,
+          "field": "applied_total_usd",
+          "gt_sql": "SELECT ROUND(SUM(json_extract(cells,'$[2]')),2) FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%' AND substr(json_extract(cells,'$[3]'),1,7) IN (SELECT json_extract(cells,'$[0]') FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx')",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 3240.5,
+          "field": "net_variance_usd",
+          "gt_sql": "SELECT ROUND((SELECT SUM(json_extract(cells,'$[3]')) FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%') - (SELECT SUM(json_extract(cells,'$[2]')) FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%' AND substr(json_extract(cells,'$[3]'),1,7) IN (SELECT json_extract(cells,'$[0]') FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx')),2)",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "HF-2203",
+            "HF-2207",
+            "HF-2218",
+            "HF-2222"
+          ],
+          "field": "exception_invoices",
+          "forbid": [
+            "HF-2201",
+            "HF-2202",
+            "HF-2204",
+            "HF-2205",
+            "HF-2206",
+            "HF-2208",
+            "HF-2209",
+            "HF-2210",
+            "HF-2211",
+            "HF-2212",
+            "HF-2213",
+            "HF-2214",
+            "HF-2215",
+            "HF-2216",
+            "HF-2217",
+            "HF-2219",
+            "HF-2220",
+            "HF-2221",
+            "HF-2223",
+            "HF-2224",
+            "HF-2190"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 2750.0,
+          "field": "overpaid_usd",
+          "gt_sql": "WITH stmt AS (SELECT json_extract(cells,'$[0]') AS inv, json_extract(cells,'$[3]') AS amt FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%'), pay AS (SELECT json_extract(cells,'$[3]') AS ref, json_extract(cells,'$[2]') AS amt FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%'), single AS (SELECT substr(ref,1,7) AS inv, SUM(amt) AS paid FROM pay WHERE ref NOT LIKE '%,%' GROUP BY 1), comb AS (SELECT substr(ref,1,7) AS a, substr(ref,9,7) AS b FROM pay WHERE ref LIKE '%,%'), app AS (SELECT s.inv AS inv, s.amt AS amt, COALESCE((SELECT paid FROM single WHERE single.inv=s.inv),0) + CASE WHEN EXISTS(SELECT 1 FROM comb WHERE comb.a=s.inv OR comb.b=s.inv) THEN s.amt ELSE 0 END AS paid FROM stmt s) SELECT ROUND(SUM(paid-amt),2) FROM app WHERE paid > amt",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": 5990.5,
+          "field": "underpaid_usd",
+          "gt_sql": "WITH stmt AS (SELECT json_extract(cells,'$[0]') AS inv, json_extract(cells,'$[3]') AS amt FROM sheet_rows WHERE file='halden-statement-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'HF-%'), pay AS (SELECT json_extract(cells,'$[3]') AS ref, json_extract(cells,'$[2]') AS amt FROM sheet_rows WHERE file='ap-payment-register-halden-2026Q1.xlsx' AND json_extract(cells,'$[0]') LIKE 'PMT-%'), single AS (SELECT substr(ref,1,7) AS inv, SUM(amt) AS paid FROM pay WHERE ref NOT LIKE '%,%' GROUP BY 1), comb AS (SELECT substr(ref,1,7) AS a, substr(ref,9,7) AS b FROM pay WHERE ref LIKE '%,%'), app AS (SELECT s.inv AS inv, s.amt AS amt, COALESCE((SELECT paid FROM single WHERE single.inv=s.inv),0) + CASE WHEN EXISTS(SELECT 1 FROM comb WHERE comb.a=s.inv OR comb.b=s.inv) THEN s.amt ELSE 0 END AS paid FROM stmt s) SELECT ROUND(SUM(amt-paid),2) FROM app WHERE paid < amt",
+          "tol_abs": 0.05,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "PMT-8817",
+            "HF-2190"
+          ],
+          "field": "out_of_scope_payment",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "n": 1,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-091-tac-invoice-matching",
+  "task_name": "threeway_match/tac-invoice-matching",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-092-tolerance-dialect-mar.json b/tasks/lgr100-092-tolerance-dialect-mar.json
new file mode 100644
index 0000000000000000000000000000000000000000..0525f6d47a37fe02e07e8f65cdec854215556b96
--- /dev/null
+++ b/tasks/lgr100-092-tolerance-dialect-mar.json
@@ -0,0 +1,112 @@
+{
+  "context_files": [
+    "task_files/lgr100-092-tolerance-dialect-mar/documents/policy--ap-match-tolerances.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "blocked_invoice": "TDINV-401",
+      "blocked_variance": 40.0,
+      "blocking_rule": "legacy ledger: an unmaintained tolerance key means zero tolerance, so any variance blocks",
+      "passing_invoice": "TDINV-402",
+      "passing_variance": 315.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "threeway_match",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-092-tolerance-dialect-mar",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/external/articles: SAP unmaintained tolerance key = zero tolerance vs Oracle Fusion blank tolerance = infinite — inverted defaults across systems",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 11:02**\n\nTDINV-401 and TDINV-402 both came back with price variances, and both ledgers are telling me no tolerance is configured. Which one can I release and which do I have to hold?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "TDINV-401"
+          ],
+          "field": "blocked_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 40.0,
+          "field": "blocked_variance",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "TDINV-402"
+          ],
+          "field": "passing_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 315.0,
+          "field": "passing_variance",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "zero"
+          ],
+          "field": "blocking_rule",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-092-tolerance-dialect-mar",
+  "task_name": "threeway_match/tolerance-dialect-mar",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-093-tolerance-dialect-mar-esc-burie-quiet.json b/tasks/lgr100-093-tolerance-dialect-mar-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..6a01b27f974dbc1a773244c1b83f45513ba0731c
--- /dev/null
+++ b/tasks/lgr100-093-tolerance-dialect-mar-esc-burie-quiet.json
@@ -0,0 +1,112 @@
+{
+  "context_files": [
+    "task_files/lgr100-093-tolerance-dialect-mar-esc-burie-quiet/documents/policy--ap-match-tolerances.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "blocked_invoice": "TDINV-401",
+      "blocked_variance": 40.0,
+      "blocking_rule": "legacy ledger: an unmaintained tolerance key means zero tolerance, so any variance blocks",
+      "passing_invoice": "TDINV-402",
+      "passing_variance": 315.0
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "threeway_match",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-093-tolerance-dialect-mar-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of threeway_match/tolerance-dialect-mar via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: research/external/articles: SAP unmaintained tolerance key = zero tolerance vs Oracle Fusion blank tolerance = infinite — inverted defaults across systems",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 5,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 11:02**\n\nTDINV-401 and TDINV-402 both came back with price variances, and both ledgers are telling me no tolerance is configured. Which one can I release and which do I have to hold?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "TDINV-401"
+          ],
+          "field": "blocked_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 40.0,
+          "field": "blocked_variance",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "TDINV-402"
+          ],
+          "field": "passing_invoice",
+          "type": "contains_all"
+        },
+        {
+          "expect": 315.0,
+          "field": "passing_variance",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "zero"
+          ],
+          "field": "blocking_rule",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-093-tolerance-dialect-mar-esc-burie-quiet",
+  "task_name": "threeway_match/tolerance-dialect-mar-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-094-bank-change-verify.json b/tasks/lgr100-094-bank-change-verify.json
new file mode 100644
index 0000000000000000000000000000000000000000..797481f77e267b9469aa0929ccb52addab65024a
--- /dev/null
+++ b/tasks/lgr100-094-bank-change-verify.json
@@ -0,0 +1,101 @@
+{
+  "context_files": [
+    "task_files/lgr100-094-bank-change-verify/documents/policy--vendor-bank-change.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "red_flag": "sender domain does not match the vendor contact email on the ERP master record (lookalike domain)",
+      "request_verified": "no",
+      "required_next_step": "call back the vendor on the phone number already on file in the ERP — never a number supplied in the request",
+      "vendor_account": "1001"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "vendor_master",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-094-bank-change-verify",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "research/finance-agent-workflows.md wf#5 (vendor onboarding/master data + bank-detail fraud checks)",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 08:35**\n\nA vendor's asking us to change their bank details before Friday's run and they're pushing hard on timing. Can we do it? Walk me through what you checked.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "1001"
+          ],
+          "field": "vendor_account",
+          "type": "contains_all"
+        },
+        {
+          "expect": "no",
+          "field": "request_verified",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "domain"
+          ],
+          "field": "red_flag",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "call"
+          ],
+          "field": "required_next_step",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "email",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-094-bank-change-verify",
+  "task_name": "vendor_master/bank-change-verify",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-095-dormant-vendor-review.json b/tasks/lgr100-095-dormant-vendor-review.json
new file mode 100644
index 0000000000000000000000000000000000000000..959b6e9182c62003e0b5514d33deb92df4653ec6
--- /dev/null
+++ b/tasks/lgr100-095-dormant-vendor-review.json
@@ -0,0 +1,119 @@
+{
+  "context_files": [
+    "task_files/lgr100-095-dormant-vendor-review/documents/vendor-hygiene-policy.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "cutoff_date": "2025-03-02",
+      "dormant_count": 2,
+      "dormant_vendors": "DVEN-02, DVEN-03",
+      "out_of_scope_vendors": "DVEN-06",
+      "unused_vendors": "DVEN-04"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "vendor_master",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-095-dormant-vendor-review",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "closes tracked coverage gap art.vendor_dormancy (sim/coverage.py); dormant-account BEC exposure from research/external/articles/vendor-master-bec-fraud--{afp-truist,fbi-ic3,wa-state-auditor}.md; docs/HARD-LAYER-DESIGN.md M3/M5",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Marcus Bell · AP Controls · Teams 09:30**\n\nQuarterly vendor hygiene review for the REVIEW group — can you work out which ones need\ndeactivating? Follow SOP-AP-11 to the letter on this, the definition is fussier than it\nlooks and last quarter's numbers had to be restated because two different findings got\ncounted in the same bucket.\n\nUse today as the review date.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 2,
+          "field": "dormant_count",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "DVEN-02",
+            "DVEN-03"
+          ],
+          "field": "dormant_vendors",
+          "forbid": [
+            "DVEN-04",
+            "DVEN-05",
+            "DVEN-06"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2025-03-02"
+          ],
+          "field": "cutoff_date",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "DVEN-04"
+          ],
+          "field": "unused_vendors",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "DVEN-06"
+          ],
+          "field": "out_of_scope_vendors",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-095-dormant-vendor-review",
+  "task_name": "vendor_master/dormant-vendor-review",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-096-dormant-vendor-review-esc-burie-quiet.json b/tasks/lgr100-096-dormant-vendor-review-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..eb94d12b4592c6affd456813dea6a92f339ef89d
--- /dev/null
+++ b/tasks/lgr100-096-dormant-vendor-review-esc-burie-quiet.json
@@ -0,0 +1,119 @@
+{
+  "context_files": [
+    "task_files/lgr100-096-dormant-vendor-review-esc-burie-quiet/documents/vendor-hygiene-policy.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "cutoff_date": "2025-03-02",
+      "dormant_count": 2,
+      "dormant_vendors": "DVEN-02, DVEN-03",
+      "out_of_scope_vendors": "DVEN-06",
+      "unused_vendors": "DVEN-04"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "vendor_master",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-096-dormant-vendor-review-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of vendor_master/dormant-vendor-review via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: closes tracked coverage gap art.vendor_dormancy (sim/coverage.py); dormant-account BEC exposure from research/external/articles/vendor-master-bec-fraud--{afp-truist,fbi-ic3,wa-state-auditor}.md; docs/HARD-LAYER-DESIGN.md M3/M5",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Marcus Bell · AP Controls · Teams 09:30**\n\nQuarterly vendor hygiene review for the REVIEW group — can you work out which ones need\ndeactivating? Follow the governing policy to the letter on this, the definition is fussier than it\nlooks and last quarter's numbers had to be restated because two different findings got\ncounted in the same bucket.\n\nUse today as the review date.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 2,
+          "field": "dormant_count",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "DVEN-02",
+            "DVEN-03"
+          ],
+          "field": "dormant_vendors",
+          "forbid": [
+            "DVEN-04",
+            "DVEN-05",
+            "DVEN-06"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2025-03-02"
+          ],
+          "field": "cutoff_date",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "DVEN-04"
+          ],
+          "field": "unused_vendors",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "DVEN-06"
+          ],
+          "field": "out_of_scope_vendors",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-096-dormant-vendor-review-esc-burie-quiet",
+  "task_name": "vendor_master/dormant-vendor-review-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-097-dormant-vendor-review-v2.json b/tasks/lgr100-097-dormant-vendor-review-v2.json
new file mode 100644
index 0000000000000000000000000000000000000000..0d95026b9c9571f83a05a7a02389c46985d4f97e
--- /dev/null
+++ b/tasks/lgr100-097-dormant-vendor-review-v2.json
@@ -0,0 +1,124 @@
+{
+  "context_files": [
+    "task_files/lgr100-097-dormant-vendor-review-v2/documents/vendor-hygiene-policy.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "cutoff_date": "2025-03-02",
+      "dormant_count": 2,
+      "dormant_vendors": "DVEN-02, DVEN-03",
+      "out_of_scope_vendors": "DVEN-06",
+      "unused_vendors": "DVEN-04"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "vendor_master",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-097-dormant-vendor-review-v2",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of vendor_master/dormant-vendor-review via the tau2.retrieval_modes lever (doc_mode=buried, sim/prepare.py): identical ground truth, harder retrieval. Base task closes art.vendor_dormancy (sim/coverage.py); dormant-account BEC exposure from research/external/articles/vendor-master-bec-fraud--{afp-truist,fbi-ic3,wa-state-auditor}.md; docs/HARD-LAYER-DESIGN.md M3/M5",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Marcus Bell · AP Controls · Teams 09:30**\n\nQuarterly vendor hygiene review for the REVIEW group — can you work out which ones need\ndeactivating? Whatever the current hygiene policy says, follow it to the letter - the definition is\nfussier than it looks and last quarter's numbers had to be restated because two different\nfindings got counted in the same bucket. I can never remember which SOP number it is, there\nare a lot of them on that shelf now.\n\nUse today as the review date.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 2,
+          "field": "dormant_count",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "DVEN-02",
+            "DVEN-03"
+          ],
+          "field": "dormant_vendors",
+          "forbid": [
+            "DVEN-04",
+            "DVEN-05",
+            "DVEN-06"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "2025-03-02"
+          ],
+          "field": "cutoff_date",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "DVEN-04"
+          ],
+          "field": "unused_vendors",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "DVEN-06"
+          ],
+          "field": "out_of_scope_vendors",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "erp",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        },
+        {
+          "n": 3,
+          "server": "docs",
+          "type": "min_calls"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-097-dormant-vendor-review-v2",
+  "task_name": "vendor_master/dormant-vendor-review-v2",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-098-missing-po-inquiry.json b/tasks/lgr100-098-missing-po-inquiry.json
new file mode 100644
index 0000000000000000000000000000000000000000..f105ece712caf7a09a237af456bf8e4a38029565
--- /dev/null
+++ b/tasks/lgr100-098-missing-po-inquiry.json
@@ -0,0 +1,140 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 1,
+        "name": "agent_sent_mail",
+        "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'",
+        "type": "row_count"
+      },
+      {
+        "expect": 1,
+        "name": "vendor_replied",
+        "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'",
+        "type": "row_count"
+      },
+      {
+        "expect": 1,
+        "name": "mailed_the_vendor_on_file",
+        "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'",
+        "type": "row_count"
+      }
+    ],
+    "submit_answer": {
+      "contact_emailed": "ap@wingtip-sim.example",
+      "po_exists_in_erp": "yes",
+      "po_item": "PKG-LABEL-ROLL",
+      "po_number": "PO-7003"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "vendor_master",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-098-missing-po-inquiry",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "TheAgentCompany finance suite pattern: agent must message an NPC for a blocking fact (research/external/repos/INDEX.md); enabled by email.send_message + scripted counterparties",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 09:22**\n\nTWINV-303 from Wingtip has no PO reference on it so it won't match or schedule. Can you sort it out and confirm the PO is real on our side?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PO-7003"
+          ],
+          "field": "po_number",
+          "type": "contains_all"
+        },
+        {
+          "expect": "yes",
+          "field": "po_exists_in_erp",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "PKG-LABEL-ROLL"
+          ],
+          "field": "po_item",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "wingtip"
+          ],
+          "field": "contact_emailed",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers",
+            "email_messages"
+          ],
+          "type": "writes_only"
+        },
+        {
+          "expect": 1,
+          "name": "agent_sent_mail",
+          "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'",
+          "type": "row_count"
+        },
+        {
+          "expect": 1,
+          "name": "vendor_replied",
+          "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'",
+          "type": "row_count"
+        },
+        {
+          "expect": 1,
+          "name": "mailed_the_vendor_on_file",
+          "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'",
+          "type": "row_count"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "email",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-098-missing-po-inquiry",
+  "task_name": "vendor_master/missing-po-inquiry",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-099-missing-po-inquiry-esc-burie-quiet.json b/tasks/lgr100-099-missing-po-inquiry-esc-burie-quiet.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b5f8bcebe491541447a172168899e3c682feedf
--- /dev/null
+++ b/tasks/lgr100-099-missing-po-inquiry-esc-burie-quiet.json
@@ -0,0 +1,140 @@
+{
+  "context_files": [],
+  "gold_output": {
+    "expected_state_assertions": [
+      {
+        "expect": 1,
+        "name": "agent_sent_mail",
+        "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'",
+        "type": "row_count"
+      },
+      {
+        "expect": 1,
+        "name": "vendor_replied",
+        "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'",
+        "type": "row_count"
+      },
+      {
+        "expect": 1,
+        "name": "mailed_the_vendor_on_file",
+        "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'",
+        "type": "row_count"
+      }
+    ],
+    "submit_answer": {
+      "contact_emailed": "ap@wingtip-sim.example",
+      "po_exists_in_erp": "yes",
+      "po_item": "PKG-LABEL-ROLL",
+      "po_number": "PO-7003"
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "vendor_master",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-099-missing-po-inquiry-esc-burie-quiet",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "escalated variant of vendor_master/missing-po-inquiry via sim/grow_tasks.py (buried_docs: governing policy hidden in the adjacent-policy library; quiet_prompt: explicit policy pointers removed from the ask); ground truth unchanged. Base: TheAgentCompany finance suite pattern: agent must message an NPC for a blocking fact (research/external/repos/INDEX.md); enabled by email.send_message + scripted counterparties",
+    "provenance": "variant",
+    "version": "1.0.0",
+    "walk_len": 6,
+    "walk_servers": [
+      "email",
+      "erp",
+      "harness"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Priya Shah · AP Manager · Teams 09:22**\n\nTWINV-303 from Wingtip has no PO reference on it so it won't match or schedule. Can you sort it out and confirm the PO is real on our side?\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": [
+            "PO-7003"
+          ],
+          "field": "po_number",
+          "type": "contains_all"
+        },
+        {
+          "expect": "yes",
+          "field": "po_exists_in_erp",
+          "type": "yes_no"
+        },
+        {
+          "expect": [
+            "PKG-LABEL-ROLL"
+          ],
+          "field": "po_item",
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "wingtip"
+          ],
+          "field": "contact_emailed",
+          "type": "contains_all"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers",
+            "email_messages"
+          ],
+          "type": "writes_only"
+        },
+        {
+          "expect": 1,
+          "name": "agent_sent_mail",
+          "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent'",
+          "type": "row_count"
+        },
+        {
+          "expect": 1,
+          "name": "vendor_replied",
+          "sql": "SELECT COUNT(*) FROM email_messages WHERE id='em-reply-wingtip-po'",
+          "type": "row_count"
+        },
+        {
+          "expect": 1,
+          "name": "mailed_the_vendor_on_file",
+          "sql": "SELECT COUNT(*) FROM email_messages WHERE folder='sent' AND to_addr='ap@wingtip-sim.example'",
+          "type": "row_count"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "erp",
+            "email"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 2,
+          "server": "email",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-099-missing-po-inquiry-esc-burie-quiet",
+  "task_name": "vendor_master/missing-po-inquiry-esc-burie-quiet",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/tasks/lgr100-100-tac-find-signatories.json b/tasks/lgr100-100-tac-find-signatories.json
new file mode 100644
index 0000000000000000000000000000000000000000..c234e03df8b6c47c5ccb36c1de43708ffe93359c
--- /dev/null
+++ b/tasks/lgr100-100-tac-find-signatories.json
@@ -0,0 +1,147 @@
+{
+  "context_files": [
+    "task_files/lgr100-100-tac-find-signatories/documents/memo--interim-signing-delegation.md",
+    "task_files/lgr100-100-tac-find-signatories/documents/policy--treasury-signing-authority.md"
+  ],
+  "gold_output": {
+    "expected_state_assertions": [],
+    "submit_answer": {
+      "authorised_signatories": "Marguerite Okonjo, Halvard Brekke, Priya Shah, Desmond Achebe",
+      "authorised_signatory_count": 4,
+      "departed_signatory": "SIG-06, Corinne Vasquez, Director of Financial Reporting (Band B, USD 250,000). The HR extract records her as a leaver with a final working day of 2026-02-13, so her authority fell away on that date under SOP-TR-02 s2.1; the register was never updated and her offboarding checklist is still open. Strike the row and revoke her payment-release access.",
+      "expired_delegation": "SIG-07, held by Toma Larsen (Band B, USD 250,000, interim cover for the Controller). The CFO's delegation of 2025-11-03 was time-limited and ended 2026-02-28, so the authority is void from 2026-03-01 under SOP-TR-02 s2 even though the register still shows the row Active. He remains an employee in his substantive role; only the signing authority has lapsed, and the row must be struck at this refresh.",
+      "max_release_without_band_a": 50000,
+      "valid_mandate_rows": 5
+    }
+  },
+  "metadata": {
+    "benchmark": "LedgerBench-100",
+    "code_license": "Apache-2.0",
+    "data_license": "CC-BY-4.0",
+    "difficulty": "hard",
+    "family": "vendor_master",
+    "grading": "deterministic",
+    "harbor_name": "blobfishai/lgr100-100-tac-find-signatories",
+    "llm_judge": false,
+    "mcp_servers": 8,
+    "mcp_tools": 66,
+    "origin": "port of research/external/repos/TheAgentCompany/workspaces/tasks/finance-find-signatories (establish the set of signatories from source records, then report both the number of signatures found and the smaller number of PEOPLE to act on - the original's 38 signatures vs 29 signatories). The original's ownCloud/RocketChat plumbing does not port: the workbooks become sheets (bank mandate register + HR personnel extract), the rules become docs (SOP-TR-02 and the CFO's interim delegation memo), and the answer goes through harness__submit_answer. Mechanics per docs/HARD-LAYER-DESIGN.md: M3 non-collapse (the register's own Active column is the naive source of truth and is wrong in two directions), M5 the validity rules live only in the SOP and the delegation memo - no field on the register says an authority has fallen away, and the Register status column actively asserts the opposite.",
+    "provenance": "ported",
+    "version": "1.0.0",
+    "walk_len": 9,
+    "walk_servers": [
+      "docs",
+      "email",
+      "harness",
+      "sheets"
+    ],
+    "world_epoch": "2026-03-02T12:00:00Z"
+  },
+  "prompt": "**Nyla Ferreira · Treasury Manager · Teams 08:20**\n\nFirst National want the mandate on the operating account re-certified by Friday, and anyone who\nisn't on the list I send gets struck off and their release access closed the same day. So I'd\nrather not just forward them the register as it stands.\n\nTreasury Ops keep that register by hand and I don't trust the status column on it — there's\nbeen movement in Reporting this quarter, and Halvard is back from leave, so the cover\narrangements we put in over the autumn have unwound. HR's finance-function extract is on the\nshared drive next to it.\n\nWork it per SOP-TR-02 and tell me who can genuinely sign today. I also need whatever has to come\noff the mandate, by name, so I can raise the ERP access revocations in the same pass.\n\nOne more for Friday's run: there's a supplier payment that has been going out on a Band B\nsignature. Tell me the largest single payment we can still release without going to the CFO or\nto Halvard.\n",
+  "rubric": {
+    "checks": {
+      "answer_checks": [
+        {
+          "expect": 5,
+          "field": "valid_mandate_rows",
+          "gt_sql": "SELECT COUNT(*) FROM sheet_rows m JOIN sheet_rows h ON json_extract(h.cells,'$[0]')=json_extract(m.cells,'$[1]') WHERE m.file='bank-mandate-register-2026.xlsx' AND h.file='hr-personnel-extract-2026-03-01.xlsx' AND json_extract(m.cells,'$[0]') LIKE 'SIG-%' AND json_extract(h.cells,'$[4]')='Active' AND json_extract(m.cells,'$[6]')<=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10) AND (json_extract(m.cells,'$[7]')='' OR json_extract(m.cells,'$[7]')>=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10))",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": 4,
+          "field": "authorised_signatory_count",
+          "gt_sql": "SELECT COUNT(DISTINCT json_extract(m.cells,'$[1]')) FROM sheet_rows m JOIN sheet_rows h ON json_extract(h.cells,'$[0]')=json_extract(m.cells,'$[1]') WHERE m.file='bank-mandate-register-2026.xlsx' AND h.file='hr-personnel-extract-2026-03-01.xlsx' AND json_extract(m.cells,'$[0]') LIKE 'SIG-%' AND json_extract(h.cells,'$[4]')='Active' AND json_extract(m.cells,'$[6]')<=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10) AND (json_extract(m.cells,'$[7]')='' OR json_extract(m.cells,'$[7]')>=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10))",
+          "tol_abs": 0.01,
+          "type": "number"
+        },
+        {
+          "expect": [
+            "Okonjo",
+            "Brekke",
+            "Shah",
+            "Achebe"
+          ],
+          "field": "authorised_signatories",
+          "forbid": [
+            "Vasquez",
+            "Larsen",
+            "Fabbri",
+            "Nystrom",
+            "Bergstrom",
+            "Ferreira"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "Larsen"
+          ],
+          "field": "expired_delegation",
+          "forbid": [
+            "Vasquez"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": [
+            "Vasquez"
+          ],
+          "field": "departed_signatory",
+          "forbid": [
+            "Larsen",
+            "Bergstrom"
+          ],
+          "type": "contains_all"
+        },
+        {
+          "expect": 50000.0,
+          "field": "max_release_without_band_a",
+          "gt_sql": "SELECT MAX(json_extract(m.cells,'$[5]')) FROM sheet_rows m JOIN sheet_rows h ON json_extract(h.cells,'$[0]')=json_extract(m.cells,'$[1]') WHERE m.file='bank-mandate-register-2026.xlsx' AND h.file='hr-personnel-extract-2026-03-01.xlsx' AND json_extract(m.cells,'$[0]') LIKE 'SIG-%' AND json_extract(m.cells,'$[4]')<>'A' AND json_extract(h.cells,'$[4]')='Active' AND json_extract(m.cells,'$[6]')<=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10) AND (json_extract(m.cells,'$[7]')='' OR json_extract(m.cells,'$[7]')>=substr((SELECT value FROM meta WHERE key='WORLD_NOW'),1,10))",
+          "tol_abs": 0.05,
+          "type": "number"
+        }
+      ],
+      "state_checks": [
+        {
+          "tables": [
+            "answers"
+          ],
+          "type": "writes_only"
+        }
+      ],
+      "trace_checks": [
+        {
+          "servers": [
+            "sheets",
+            "docs"
+          ],
+          "type": "required_servers"
+        },
+        {
+          "n": 3,
+          "server": "sheets",
+          "type": "min_calls"
+        },
+        {
+          "n": 2,
+          "server": "docs",
+          "type": "min_calls"
+        },
+        {
+          "type": "reads_before_submit"
+        }
+      ]
+    },
+    "engine": "verifiers/vcode.py (binary reward; all checks must pass)",
+    "gates": [
+      "answer_checks: submitted fields graded by type with tolerances",
+      "trace_checks: required servers visited, reads precede submission",
+      "state_checks: writes_only anti-hack veto plus SQL over the world left behind"
+    ],
+    "type": "deterministic"
+  },
+  "task_id": "lgr100-100-tac-find-signatories",
+  "task_name": "vendor_master/tac-find-signatories",
+  "world_id": "ledgerbench-erp-world-v1"
+}
diff --git a/trajectories/lgr100-001-duplicate-payment-mar.jsonl b/trajectories/lgr100-001-duplicate-payment-mar.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1e2741ad59bbd6a5b826d3e0501229f52a617e69
--- /dev/null
+++ b/trajectories/lgr100-001-duplicate-payment-mar.jsonl
@@ -0,0 +1,11 @@
+{"args": {"query": "duplicate"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "duplicate-payment-control"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"action": "ContosoPaymentRunPropose", "parameters": {"bank_account": "USMF-OPER", "pay_date": "2026-03-06", "vendor_group": "OFFICE"}}, "ok": true, "server": "erp", "step": 2, "tool": "api_invoke_action"}
+{"args": {"sql": "SELECT invoice, po_number, amount, settled, closed, trans_date FROM erp_vend_trans WHERE account IN ('PVEN-21','PVEN-22') AND txn_type='Invoice' ORDER BY po_number, trans_date"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT o.invoice AS open_invoice, o.po_number, o.amount, s.invoice AS settled_invoice, s.trans_date AS settled_date FROM erp_vend_trans o JOIN erp_vend_trans s ON s.account=o.account AND s.po_number=o.po_number AND s.amount=o.amount AND s.closed=1 AND s.txn_type='Invoice' WHERE o.closed=0 AND o.txn_type='Invoice'"}, "ok": true, "server": "erp", "step": 4, "tool": "data_find_entities_sql"}
+{"args": {"q": "statement"}, "ok": true, "server": "email", "step": 5, "tool": "messages_list"}
+{"args": {"id": "em-0701"}, "ok": true, "server": "email", "step": 6, "tool": "messages_get"}
+{"args": {"message_id": "em-0701"}, "ok": true, "server": "email", "step": 7, "tool": "attachments_get"}
+{"args": {"action": "ContosoPaymentRunCommit", "parameters": {"confirm_token": "CONF-PR-00001-1", "paid": ["OSINV-5530", "OSINV-5555", "TPS-11907"], "rejected": [{"invoice": "5521-OPS", "reason": "Duplicate of OSINV-5521 (PO-4471, 18,400.00), settled 2026-02-24; vendor statement confirms PO-4471 is paid and the second document is their re-sent paper copy. Refer to AP supervisor for credit.", "reason_code": "duplicate"}], "run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 8, "tool": "api_invoke_action"}
+{"args": {"entity": "PaymentRunLines", "filters": {"run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 9, "tool": "data_find_entities"}
+{"args": {"answers": {"amount_prevented": 18400.0, "duplicate_found": "yes", "duplicate_invoice": "5521-OPS", "duplicate_of": "OSINV-5521", "run_id": "PR-00001", "total_paid": 34450.0}}, "ok": true, "server": "harness", "step": 10, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-002-ach-return-mar.jsonl b/trajectories/lgr100-002-ach-return-mar.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e3ede9f345e9d47b23d0dd953cafe3203b6aa977
--- /dev/null
+++ b/trajectories/lgr100-002-ach-return-mar.jsonl
@@ -0,0 +1,5 @@
+{"args": {"item": "bank-file-2026-03-01.xlsx"}, "ok": true, "server": "sheets", "step": 0, "tool": "workbook_used_range"}
+{"args": {"sql": "SELECT invoice, txn_type, trans_date, ROUND(amount,2) AS amount, ROUND(settled,2) AS settled, closed FROM erp_cust_trans WHERE account='US-021' ORDER BY trans_date"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT s.payment_id, s.invoice_id, ROUND(s.amount,2) AS applied, s.settle_date FROM erp_settlements s WHERE s.account='US-021'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT ROUND(SUM(amount-settled),2) AS open_now FROM erp_cust_trans WHERE account='US-021' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"reopened_invoice": "LHINV-001", "returned_amount": 18000.0, "returned_payment_ref": "LHPAY-77", "true_open_balance": 35200.0}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-003-ach-return-mar-esc-burie-quiet.jsonl b/trajectories/lgr100-003-ach-return-mar-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e3ede9f345e9d47b23d0dd953cafe3203b6aa977
--- /dev/null
+++ b/trajectories/lgr100-003-ach-return-mar-esc-burie-quiet.jsonl
@@ -0,0 +1,5 @@
+{"args": {"item": "bank-file-2026-03-01.xlsx"}, "ok": true, "server": "sheets", "step": 0, "tool": "workbook_used_range"}
+{"args": {"sql": "SELECT invoice, txn_type, trans_date, ROUND(amount,2) AS amount, ROUND(settled,2) AS settled, closed FROM erp_cust_trans WHERE account='US-021' ORDER BY trans_date"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT s.payment_id, s.invoice_id, ROUND(s.amount,2) AS applied, s.settle_date FROM erp_settlements s WHERE s.account='US-021'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT ROUND(SUM(amount-settled),2) AS open_now FROM erp_cust_trans WHERE account='US-021' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"reopened_invoice": "LHINV-001", "returned_amount": 18000.0, "returned_payment_ref": "LHPAY-77", "true_open_balance": 35200.0}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-004-statement-divergence-feb.jsonl b/trajectories/lgr100-004-statement-divergence-feb.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b6d1109b0e2f1471e71cc6d4f6f2ffb92e1e651d
--- /dev/null
+++ b/trajectories/lgr100-004-statement-divergence-feb.jsonl
@@ -0,0 +1,4 @@
+{"args": {}, "ok": true, "server": "sheets", "step": 0, "tool": "list_drive_items"}
+{"args": {"item": "bank-statement-operating-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 1, "tool": "workbook_used_range"}
+{"args": {"sql": "SELECT invoice, account, trans_date, ROUND(-amount,2) AS received FROM erp_cust_trans WHERE txn_type='Payment' AND trans_date BETWEEN '2026-02-24' AND '2026-02-28' AND invoice LIKE 'PMT-21%'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"bank_only_ref": "DEP-9911", "books_only_ref": "PMT-2104", "discrepancy_amount": 45.0, "discrepancy_ref": "PMT-2102", "matched_count": 2}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-005-statement-divergence-feb-esc-burie-quiet.jsonl b/trajectories/lgr100-005-statement-divergence-feb-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b6d1109b0e2f1471e71cc6d4f6f2ffb92e1e651d
--- /dev/null
+++ b/trajectories/lgr100-005-statement-divergence-feb-esc-burie-quiet.jsonl
@@ -0,0 +1,4 @@
+{"args": {}, "ok": true, "server": "sheets", "step": 0, "tool": "list_drive_items"}
+{"args": {"item": "bank-statement-operating-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 1, "tool": "workbook_used_range"}
+{"args": {"sql": "SELECT invoice, account, trans_date, ROUND(-amount,2) AS received FROM erp_cust_trans WHERE txn_type='Payment' AND trans_date BETWEEN '2026-02-24' AND '2026-02-28' AND invoice LIKE 'PMT-21%'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"bank_only_ref": "DEP-9911", "books_only_ref": "PMT-2104", "discrepancy_amount": 45.0, "discrepancy_ref": "PMT-2102", "matched_count": 2}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-006-brief-caterpillar.jsonl b/trajectories/lgr100-006-brief-caterpillar.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..49fee80363f83a2fb2faeae678b47c2030a10f08
--- /dev/null
+++ b/trajectories/lgr100-006-brief-caterpillar.jsonl
@@ -0,0 +1,9 @@
+{"args": {"query": "business brief template"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "template--business-brief"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"query": "Caterpillar"}, "ok": true, "server": "filings", "step": 2, "tool": "lookup_company"}
+{"args": {"ticker": "CAT"}, "ok": true, "server": "filings", "step": 3, "tool": "list_available_concepts"}
+{"args": {"concept": "LongTermDebtNoncurrent", "ticker": "CAT"}, "ok": true, "server": "filings", "step": 4, "tool": "get_company_concept"}
+{"args": {"concept": "StockholdersEquityIncludingPortionAttributableToNoncontrollingInterest", "ticker": "CAT"}, "ok": true, "server": "filings", "step": 5, "tool": "get_company_concept"}
+{"args": {"entity": "Customers", "filters": {"name": "Caterpillar"}}, "ok": true, "server": "erp", "step": 6, "tool": "data_find_entities"}
+{"args": {"entity": "Vendors", "filters": {"name": "Caterpillar"}}, "ok": true, "server": "erp", "step": 7, "tool": "data_find_entities"}
+{"args": {"answers": {"equity_fy2024": 19494000000, "internal_ar_relationship": "none", "lt_de_ratio_3yr_avg": 1.43, "lt_debt_fy2024": 27351000000}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-007-brief-caterpillar-esc-burie-quiet.jsonl b/trajectories/lgr100-007-brief-caterpillar-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..49fee80363f83a2fb2faeae678b47c2030a10f08
--- /dev/null
+++ b/trajectories/lgr100-007-brief-caterpillar-esc-burie-quiet.jsonl
@@ -0,0 +1,9 @@
+{"args": {"query": "business brief template"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "template--business-brief"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"query": "Caterpillar"}, "ok": true, "server": "filings", "step": 2, "tool": "lookup_company"}
+{"args": {"ticker": "CAT"}, "ok": true, "server": "filings", "step": 3, "tool": "list_available_concepts"}
+{"args": {"concept": "LongTermDebtNoncurrent", "ticker": "CAT"}, "ok": true, "server": "filings", "step": 4, "tool": "get_company_concept"}
+{"args": {"concept": "StockholdersEquityIncludingPortionAttributableToNoncontrollingInterest", "ticker": "CAT"}, "ok": true, "server": "filings", "step": 5, "tool": "get_company_concept"}
+{"args": {"entity": "Customers", "filters": {"name": "Caterpillar"}}, "ok": true, "server": "erp", "step": 6, "tool": "data_find_entities"}
+{"args": {"entity": "Vendors", "filters": {"name": "Caterpillar"}}, "ok": true, "server": "erp", "step": 7, "tool": "data_find_entities"}
+{"args": {"answers": {"equity_fy2024": 19494000000, "internal_ar_relationship": "none", "lt_de_ratio_3yr_avg": 1.43, "lt_debt_fy2024": 27351000000}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-008-brief-caterpillar-v2.jsonl b/trajectories/lgr100-008-brief-caterpillar-v2.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9a9cc9fb979183072aa50948060d8fdecd5f9ee7
--- /dev/null
+++ b/trajectories/lgr100-008-brief-caterpillar-v2.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "brief template"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "template--business-brief"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"doc_id": "policy--counterparty-credit"}, "ok": true, "server": "docs", "step": 2, "tool": "get_document"}
+{"args": {"query": "Caterpillar"}, "ok": true, "server": "filings", "step": 3, "tool": "lookup_company"}
+{"args": {"ticker": "CAT"}, "ok": true, "server": "filings", "step": 4, "tool": "list_available_concepts"}
+{"args": {"concept": "LongTermDebtNoncurrent", "ticker": "CAT"}, "ok": true, "server": "filings", "step": 5, "tool": "get_company_concept"}
+{"args": {"concept": "StockholdersEquityIncludingPortionAttributableToNoncontrollingInterest", "ticker": "CAT"}, "ok": true, "server": "filings", "step": 6, "tool": "get_company_concept"}
+{"args": {"entity": "Customers", "filters": {"name": "Caterpillar"}}, "ok": true, "server": "erp", "step": 7, "tool": "data_find_entities"}
+{"args": {"entity": "Vendors", "filters": {"name": "Caterpillar"}}, "ok": true, "server": "erp", "step": 8, "tool": "data_find_entities"}
+{"args": {"answers": {"internal_relationship": "none", "leverage_classification": "moderate", "lt_de_2022": 1.62, "lt_de_2023": 1.25, "lt_de_2024": 1.4, "lt_de_ratio_3yr_avg": 1.43}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-009-brief-advanced-micro-devices-inc.jsonl b/trajectories/lgr100-009-brief-advanced-micro-devices-inc.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a421252480c5204f110c858544a7b70fef2f8bca
--- /dev/null
+++ b/trajectories/lgr100-009-brief-advanced-micro-devices-inc.jsonl
@@ -0,0 +1,7 @@
+{"args": {"query": "Advanced Micro Devices Inc"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "Revenues", "ticker": "AMD"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "NetIncomeLoss", "ticker": "AMD"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"concept": "LongTermDebtNoncurrent", "ticker": "AMD"}, "ok": true, "server": "filings", "step": 3, "tool": "get_company_concept"}
+{"args": {"concept": "StockholdersEquity", "ticker": "AMD"}, "ok": true, "server": "filings", "step": 4, "tool": "get_company_concept"}
+{"args": {"entity": "Customers", "filters": {"name": "Advanced"}}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities"}
+{"args": {"answers": {"internal_ar_relationship": "none", "internal_open_ar_usd": 0, "lt_de_ratio_3yr_avg": 0.0326, "net_income_fy2025": 4335000000.0, "revenue_fy2025": 34639000000.0}}, "ok": true, "server": "harness", "step": 6, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-010-brief-american-airlines-group.jsonl b/trajectories/lgr100-010-brief-american-airlines-group.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fb53442d86e9b077026d4e7827eb0a364de8938a
--- /dev/null
+++ b/trajectories/lgr100-010-brief-american-airlines-group.jsonl
@@ -0,0 +1,7 @@
+{"args": {"query": "American Airlines Group"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "Revenues", "ticker": "AAL"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "NetIncomeLoss", "ticker": "AAL"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"concept": "LongTermDebtNoncurrent", "ticker": "AAL"}, "ok": true, "server": "filings", "step": 3, "tool": "get_company_concept"}
+{"args": {"concept": "StockholdersEquity", "ticker": "AAL"}, "ok": true, "server": "filings", "step": 4, "tool": "get_company_concept"}
+{"args": {"entity": "Customers", "filters": {"name": "American"}}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities"}
+{"args": {"answers": {"internal_ar_relationship": "BRF-20", "internal_open_ar_usd": 42132, "lt_de_ratio_3yr_avg": -6.1185, "net_income_fy2025": 111000000.0, "revenue_fy2025": 54633000000.0}}, "ok": true, "server": "harness", "step": 6, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-011-brief-apple-inc.jsonl b/trajectories/lgr100-011-brief-apple-inc.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2208c3b642c59d72405d18eeb39ba3407869e10b
--- /dev/null
+++ b/trajectories/lgr100-011-brief-apple-inc.jsonl
@@ -0,0 +1,7 @@
+{"args": {"query": "Apple Inc"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "Revenues", "ticker": "AAPL"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "NetIncomeLoss", "ticker": "AAPL"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"concept": "LongTermDebtNoncurrent", "ticker": "AAPL"}, "ok": true, "server": "filings", "step": 3, "tool": "get_company_concept"}
+{"args": {"concept": "StockholdersEquity", "ticker": "AAPL"}, "ok": true, "server": "filings", "step": 4, "tool": "get_company_concept"}
+{"args": {"entity": "Customers", "filters": {"name": "Apple"}}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities"}
+{"args": {"answers": {"internal_ar_relationship": "BRF-00", "internal_open_ar_usd": 41732, "lt_de_ratio_3yr_avg": 1.3671, "net_income_fy2025": 112010000000.0, "revenue_fy2025": 416161000000.0}}, "ok": true, "server": "harness", "step": 6, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-012-deduction-coding-mar.jsonl b/trajectories/lgr100-012-deduction-coding-mar.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ff0f57e6ded3d525643b41c1b5cac2dc200f55ce
--- /dev/null
+++ b/trajectories/lgr100-012-deduction-coding-mar.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "deduction"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "deduction-policy"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"entity": "DeductionReasons"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, account, amount, settled, ROUND(amount-settled,2) AS deduction FROM erp_cust_trans WHERE invoice LIKE 'CINV-70%' ORDER BY invoice"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"q": "CINV-70"}, "ok": true, "server": "email", "step": 4, "tool": "messages_list"}
+{"args": {"id": "em-0801"}, "ok": true, "server": "email", "step": 5, "tool": "messages_get"}
+{"args": {"id": "em-0802"}, "ok": true, "server": "email", "step": 6, "tool": "messages_get"}
+{"args": {"doc_id": "copper-ridge-po"}, "ok": true, "server": "docs", "step": 7, "tool": "get_document"}
+{"args": {"doc_id": "sable-finch-allowance"}, "ok": true, "server": "docs", "step": 8, "tool": "get_document"}
+{"args": {"answers": {"chargeback_amount": 5400.0, "cinv701_reason": "pricing_variance", "cinv702_reason": "promotional_allowance", "cinv703_reason": "write_off_immaterial", "cinv704_reason": "unauthorized", "conceded_amount": 1950.0, "total_deductions": 7350.0}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-013-remittance-batch-mar02.jsonl b/trajectories/lgr100-013-remittance-batch-mar02.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5a6a7ef24c419afc74bad7b5d5709e32708987ce
--- /dev/null
+++ b/trajectories/lgr100-013-remittance-batch-mar02.jsonl
@@ -0,0 +1,7 @@
+{"args": {"item": "lockbox-2026-03-02.xlsx"}, "ok": true, "server": "sheets", "step": 0, "tool": "workbook_used_range"}
+{"args": {"entity": "Customers", "filters": {"account": "US-021"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE account='US-021' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"q": "lamna remittance"}, "ok": true, "server": "email", "step": 3, "tool": "messages_list"}
+{"args": {"id": "em-0210"}, "ok": true, "server": "email", "step": 4, "tool": "messages_get"}
+{"args": {"id": "em-0211"}, "ok": true, "server": "email", "step": 5, "tool": "messages_get"}
+{"args": {"answers": {"dep501_invoices": "LHINV-001, LHINV-002", "dep502_invoices": "LHINV-003", "dep503_invoices": "none", "unapplied_amount": 4000.0}}, "ok": true, "server": "harness", "step": 6, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-014-remittance-batch-mar02-esc-burie-quiet.jsonl b/trajectories/lgr100-014-remittance-batch-mar02-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..5a6a7ef24c419afc74bad7b5d5709e32708987ce
--- /dev/null
+++ b/trajectories/lgr100-014-remittance-batch-mar02-esc-burie-quiet.jsonl
@@ -0,0 +1,7 @@
+{"args": {"item": "lockbox-2026-03-02.xlsx"}, "ok": true, "server": "sheets", "step": 0, "tool": "workbook_used_range"}
+{"args": {"entity": "Customers", "filters": {"account": "US-021"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE account='US-021' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"q": "lamna remittance"}, "ok": true, "server": "email", "step": 3, "tool": "messages_list"}
+{"args": {"id": "em-0210"}, "ok": true, "server": "email", "step": 4, "tool": "messages_get"}
+{"args": {"id": "em-0211"}, "ok": true, "server": "email", "step": 5, "tool": "messages_get"}
+{"args": {"answers": {"dep501_invoices": "LHINV-001, LHINV-002", "dep502_invoices": "LHINV-003", "dep503_invoices": "none", "unapplied_amount": 4000.0}}, "ok": true, "server": "harness", "step": 6, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-015-cesp-four-week.jsonl b/trajectories/lgr100-015-cesp-four-week.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1a476b0b59e19c85466e9c749358303ef525c28b
--- /dev/null
+++ b/trajectories/lgr100-015-cesp-four-week.jsonl
@@ -0,0 +1,6 @@
+{"args": {"query": "cash forecast assumptions"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "sop--cash-forecast-assumptions"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_vend_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"item": "CESP-payroll-calendar-2026.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"answers": {"four_week_net": -322000.0, "week1_net": 14000.0, "week2_net": -169000.0, "week3_net": 51000.0, "week4_net": -218000.0}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-016-cesp-four-week-esc-burie-quiet.jsonl b/trajectories/lgr100-016-cesp-four-week-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1a476b0b59e19c85466e9c749358303ef525c28b
--- /dev/null
+++ b/trajectories/lgr100-016-cesp-four-week-esc-burie-quiet.jsonl
@@ -0,0 +1,6 @@
+{"args": {"query": "cash forecast assumptions"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "sop--cash-forecast-assumptions"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_vend_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"item": "CESP-payroll-calendar-2026.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"answers": {"four_week_net": -322000.0, "week1_net": 14000.0, "week2_net": -169000.0, "week3_net": 51000.0, "week4_net": -218000.0}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-017-period-lock-correction.jsonl b/trajectories/lgr100-017-period-lock-correction.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..19b6be16e575a66e8cdf7d65e4138bd81bb1ee93
--- /dev/null
+++ b/trajectories/lgr100-017-period-lock-correction.jsonl
@@ -0,0 +1,9 @@
+{"args": {"query": "period close"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "period-close-policy"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT j.journal_id, j.posting_date, j.period_id, l.line, l.account_code, l.debit, l.credit FROM erp_ledger_journals j JOIN erp_ledger_journal_lines l ON l.journal_id=j.journal_id WHERE j.journal_id='GJ-00900'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"entity": "FiscalPeriods"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities"}
+{"args": {"entity": "MainAccounts", "filters": {"account_type": "expense"}}, "ok": true, "server": "erp", "step": 4, "tool": "data_find_entities"}
+{"args": {"action": "ContosoJournalPropose", "parameters": {"description": "Reclass of GJ-00900 (period 2026-01, closed): analytics subscription mis-coded to T&E; booked to the earliest open period", "lines": [{"account_code": "600200", "debit": 8400.0, "description": "Software & subscriptions - reclass from T&E (GJ-00900)", "dimension_dept": "IT"}, {"account_code": "600300", "credit": 8400.0, "description": "Travel & entertainment - reverse mis-coding (GJ-00900)", "dimension_dept": "IT"}], "posting_date": "2026-03-02", "voucher_type": "Journal Entry"}}, "ok": true, "server": "erp", "step": 5, "tool": "api_invoke_action"}
+{"args": {"action": "ContosoJournalPost", "parameters": {"confirm_token": "CONF-GJ-00002-1", "journal_id": "GJ-00002"}}, "ok": true, "server": "erp", "step": 6, "tool": "api_invoke_action"}
+{"args": {"entity": "LedgerJournals", "filters": {"journal_id": "GJ-00002"}}, "ok": true, "server": "erp", "step": 7, "tool": "data_find_entities"}
+{"args": {"answers": {"amount": 8400.0, "january_status": "closed", "journal_id": "GJ-00002", "journal_state": "posted", "posting_period": "2026-03"}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-018-period-lock-correction-esc-burie-quiet.jsonl b/trajectories/lgr100-018-period-lock-correction-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..19b6be16e575a66e8cdf7d65e4138bd81bb1ee93
--- /dev/null
+++ b/trajectories/lgr100-018-period-lock-correction-esc-burie-quiet.jsonl
@@ -0,0 +1,9 @@
+{"args": {"query": "period close"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "period-close-policy"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT j.journal_id, j.posting_date, j.period_id, l.line, l.account_code, l.debit, l.credit FROM erp_ledger_journals j JOIN erp_ledger_journal_lines l ON l.journal_id=j.journal_id WHERE j.journal_id='GJ-00900'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"entity": "FiscalPeriods"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities"}
+{"args": {"entity": "MainAccounts", "filters": {"account_type": "expense"}}, "ok": true, "server": "erp", "step": 4, "tool": "data_find_entities"}
+{"args": {"action": "ContosoJournalPropose", "parameters": {"description": "Reclass of GJ-00900 (period 2026-01, closed): analytics subscription mis-coded to T&E; booked to the earliest open period", "lines": [{"account_code": "600200", "debit": 8400.0, "description": "Software & subscriptions - reclass from T&E (GJ-00900)", "dimension_dept": "IT"}, {"account_code": "600300", "credit": 8400.0, "description": "Travel & entertainment - reverse mis-coding (GJ-00900)", "dimension_dept": "IT"}], "posting_date": "2026-03-02", "voucher_type": "Journal Entry"}}, "ok": true, "server": "erp", "step": 5, "tool": "api_invoke_action"}
+{"args": {"action": "ContosoJournalPost", "parameters": {"confirm_token": "CONF-GJ-00002-1", "journal_id": "GJ-00002"}}, "ok": true, "server": "erp", "step": 6, "tool": "api_invoke_action"}
+{"args": {"entity": "LedgerJournals", "filters": {"journal_id": "GJ-00002"}}, "ok": true, "server": "erp", "step": 7, "tool": "data_find_entities"}
+{"args": {"answers": {"amount": 8400.0, "january_status": "closed", "journal_id": "GJ-00002", "journal_state": "posted", "posting_period": "2026-03"}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-019-revenue-recognition-tieout.jsonl b/trajectories/lgr100-019-revenue-recognition-tieout.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e51d167fc2aaa22b7de3417a92dd6d8256bd4949
--- /dev/null
+++ b/trajectories/lgr100-019-revenue-recognition-tieout.jsonl
@@ -0,0 +1,9 @@
+{"args": {"query": "revenue recognition tie-out"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--revenue-recognition-tieout"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {}, "ok": true, "server": "sheets", "step": 2, "tool": "list_drive_items"}
+{"args": {"item": "contract-register-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 3, "tool": "get_drive_item"}
+{"args": {"item": "revenue-schedule-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "get_drive_item"}
+{"args": {"item": "contract-register-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 5, "tool": "workbook_used_range"}
+{"args": {"item": "revenue-schedule-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 6, "tool": "workbook_used_range"}
+{"args": {"address": "A50:D70", "item": "revenue-schedule-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 7, "tool": "workbook_range"}
+{"args": {"answers": {"amount_exceptions": "CTR-2047, CTR-2052", "flagged_contracts": "CTR-2047, CTR-2052, CTR-2055, CTR-2058", "over_recognised_usd": 7500.0, "timing_exceptions": "CTR-2055, CTR-2058", "under_recognised_usd": 8000.0}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-020-revenue-recognition-tieout-esc-burie-quiet.jsonl b/trajectories/lgr100-020-revenue-recognition-tieout-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e51d167fc2aaa22b7de3417a92dd6d8256bd4949
--- /dev/null
+++ b/trajectories/lgr100-020-revenue-recognition-tieout-esc-burie-quiet.jsonl
@@ -0,0 +1,9 @@
+{"args": {"query": "revenue recognition tie-out"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--revenue-recognition-tieout"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {}, "ok": true, "server": "sheets", "step": 2, "tool": "list_drive_items"}
+{"args": {"item": "contract-register-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 3, "tool": "get_drive_item"}
+{"args": {"item": "revenue-schedule-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "get_drive_item"}
+{"args": {"item": "contract-register-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 5, "tool": "workbook_used_range"}
+{"args": {"item": "revenue-schedule-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 6, "tool": "workbook_used_range"}
+{"args": {"address": "A50:D70", "item": "revenue-schedule-fy26.xlsx"}, "ok": true, "server": "sheets", "step": 7, "tool": "workbook_range"}
+{"args": {"answers": {"amount_exceptions": "CTR-2047, CTR-2052", "flagged_contracts": "CTR-2047, CTR-2052, CTR-2055, CTR-2058", "over_recognised_usd": 7500.0, "timing_exceptions": "CTR-2055, CTR-2058", "under_recognised_usd": 8000.0}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-021-subledger-tieout-feb.jsonl b/trajectories/lgr100-021-subledger-tieout-feb.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..aecb29b51c8500568e22bca72028f639519f3ed7
--- /dev/null
+++ b/trajectories/lgr100-021-subledger-tieout-feb.jsonl
@@ -0,0 +1,6 @@
+{"args": {"query": "close checklist"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "sop--month-end-close-checklist"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS ar FROM erp_cust_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS ap FROM erp_vend_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"item": "CESP-close-recon-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"answers": {"blocking_task_owner": "Jordan Blake", "erp_ap_balance": 80500.0, "erp_ar_balance": 128500.0, "unreconciled_subledger": "AP", "variance_amount": 2500.0}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-022-subledger-tieout-feb-esc-burie-quiet.jsonl b/trajectories/lgr100-022-subledger-tieout-feb-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..aecb29b51c8500568e22bca72028f639519f3ed7
--- /dev/null
+++ b/trajectories/lgr100-022-subledger-tieout-feb-esc-burie-quiet.jsonl
@@ -0,0 +1,6 @@
+{"args": {"query": "close checklist"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "sop--month-end-close-checklist"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS ar FROM erp_cust_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS ap FROM erp_vend_trans WHERE dataareaid='CESP' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"item": "CESP-close-recon-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"answers": {"blocking_task_owner": "Jordan Blake", "erp_ap_balance": 80500.0, "erp_ar_balance": 128500.0, "unreconciled_subledger": "AP", "variance_amount": 2500.0}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-023-escalate-sparrow-letter3.jsonl b/trajectories/lgr100-023-escalate-sparrow-letter3.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c9b37e6974552ad031c081eb6377f331daecf017
--- /dev/null
+++ b/trajectories/lgr100-023-escalate-sparrow-letter3.jsonl
@@ -0,0 +1,6 @@
+{"args": {"query": "dunning collection"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--collections-dunning-runbook"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"action": "ContosoCollectionStatus", "parameters": {"customer_account": "US-008"}}, "ok": true, "server": "erp", "step": 2, "tool": "api_invoke_action"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount-settled,2) AS open, CAST(julianday('2026-03-02') - julianday(due_date) AS INTEGER) AS days_past_due FROM erp_cust_trans WHERE account='US-008' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"action": "ContosoIssueCollectionLetter", "parameters": {"customer_account": "US-008"}}, "ok": true, "server": "erp", "step": 4, "tool": "api_invoke_action"}
+{"args": {"answers": {"credit_hold_placed": "no", "letter_fee": 40.0, "letter_issued": "3", "reasoning": "Letter 2 was sent 14 days ago and SPINV-002 remains unpaid, so letter 3 posts with its $40 fee; the oldest past-due item is at 47 days, below the ~75-day credit-hold threshold, so no hold yet."}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-024-email-invoice-meadow.jsonl b/trajectories/lgr100-024-email-invoice-meadow.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..020b49d7538771f91370eeb3c369d5312598d6d5
--- /dev/null
+++ b/trajectories/lgr100-024-email-invoice-meadow.jsonl
@@ -0,0 +1,6 @@
+{"args": {"entity": "Customers", "filters": {"name": "Meadow"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT COUNT(*) AS n FROM erp_cust_trans t JOIN erp_customers c ON c.account=t.account WHERE LOWER(c.name) LIKE '%meadow%'"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"q": "meadow"}, "ok": true, "server": "email", "step": 2, "tool": "messages_list"}
+{"args": {"id": "em-0117"}, "ok": true, "server": "email", "step": 3, "tool": "messages_get"}
+{"args": {"item": "AR-manual-invoice-log-FY26.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"answers": {"evidence_source": "email attachment (shared AP/AR mailbox), corroborated by the manual invoice log spreadsheet", "found_in_erp": "no", "invoice_number": "INV-2026-047", "outstanding_amount": 18750.0}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-025-email-invoice-meadow-esc-burie-quiet.jsonl b/trajectories/lgr100-025-email-invoice-meadow-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..020b49d7538771f91370eeb3c369d5312598d6d5
--- /dev/null
+++ b/trajectories/lgr100-025-email-invoice-meadow-esc-burie-quiet.jsonl
@@ -0,0 +1,6 @@
+{"args": {"entity": "Customers", "filters": {"name": "Meadow"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT COUNT(*) AS n FROM erp_cust_trans t JOIN erp_customers c ON c.account=t.account WHERE LOWER(c.name) LIKE '%meadow%'"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"q": "meadow"}, "ok": true, "server": "email", "step": 2, "tool": "messages_list"}
+{"args": {"id": "em-0117"}, "ok": true, "server": "email", "step": 3, "tool": "messages_get"}
+{"args": {"item": "AR-manual-invoice-log-FY26.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"answers": {"evidence_source": "email attachment (shared AP/AR mailbox), corroborated by the manual invoice log spreadsheet", "found_in_erp": "no", "invoice_number": "INV-2026-047", "outstanding_amount": 18750.0}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-026-intercompany-tieout-feb.jsonl b/trajectories/lgr100-026-intercompany-tieout-feb.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..54f526af967762ab82301c2ba7e7eeca976c1beb
--- /dev/null
+++ b/trajectories/lgr100-026-intercompany-tieout-feb.jsonl
@@ -0,0 +1,5 @@
+{"args": {"entity": "Customers", "filters": {"account": "IC-001"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, trans_date, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE account='IC-001' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"item": "CES-intercompany-schedule-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 2, "tool": "workbook_used_range"}
+{"args": {"q": "intercompany"}, "ok": true, "server": "email", "step": 3, "tool": "messages_list"}
+{"args": {"answers": {"difference": 22500.0, "difference_cause": "ICINV-03 ($22,500) — received by the subsidiary 2026-03-01 but not yet booked (in transit)", "parent_ar_balance": 76500.0, "sub_recorded_balance": 54000.0}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-027-intercompany-tieout-feb-esc-burie-quiet.jsonl b/trajectories/lgr100-027-intercompany-tieout-feb-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..54f526af967762ab82301c2ba7e7eeca976c1beb
--- /dev/null
+++ b/trajectories/lgr100-027-intercompany-tieout-feb-esc-burie-quiet.jsonl
@@ -0,0 +1,5 @@
+{"args": {"entity": "Customers", "filters": {"account": "IC-001"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, trans_date, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE account='IC-001' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"item": "CES-intercompany-schedule-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 2, "tool": "workbook_used_range"}
+{"args": {"q": "intercompany"}, "ok": true, "server": "email", "step": 3, "tool": "messages_list"}
+{"args": {"answers": {"difference": 22500.0, "difference_cause": "ICINV-03 ($22,500) — received by the subsidiary 2026-03-01 but not yet booked (in transit)", "parent_ar_balance": 76500.0, "sub_recorded_balance": 54000.0}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-028-total-ar-adventure-group.jsonl b/trajectories/lgr100-028-total-ar-adventure-group.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..89dd8c53830feb739dc8e6ba6f9c907be681c14b
--- /dev/null
+++ b/trajectories/lgr100-028-total-ar-adventure-group.jsonl
@@ -0,0 +1,6 @@
+{"args": {"entity": "Customers", "filters": {"name": "Adventure Works"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS open_balance FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"q": "SELECT * FROM Customer WHERE DisplayName LIKE '%adventure%'"}, "ok": true, "server": "books", "step": 2, "tool": "query"}
+{"args": {"customer_id": "BC-114"}, "ok": true, "server": "books", "step": 3, "tool": "get_customer"}
+{"args": {"q": "SELECT * FROM CreditMemo WHERE CustomerRef = 'BC-114'"}, "ok": true, "server": "books", "step": 4, "tool": "query"}
+{"args": {"answers": {"combined_exposure": 113799.19, "erp_open_balance": 94749.19, "subsidiary_net_balance": 19050.0}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-029-total-ar-adventure-group-v2.jsonl b/trajectories/lgr100-029-total-ar-adventure-group-v2.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..612064d0d6084a80d366d190888ea2b6b9abd25b
--- /dev/null
+++ b/trajectories/lgr100-029-total-ar-adventure-group-v2.jsonl
@@ -0,0 +1,10 @@
+{"args": {"entity": "Customers", "filters": {"name": "Adventure Works"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS open_balance FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"q": "SELECT * FROM Customer WHERE DisplayName LIKE '%adventure%'"}, "ok": true, "server": "books", "step": 2, "tool": "query"}
+{"args": {"customer_id": "BC-114"}, "ok": true, "server": "books", "step": 3, "tool": "get_customer"}
+{"args": {"q": "SELECT * FROM Invoice WHERE CustomerRef = 'BC-114'"}, "ok": true, "server": "books", "step": 4, "tool": "query"}
+{"args": {"q": "SELECT * FROM CreditMemo WHERE CustomerRef = 'BC-114'"}, "ok": true, "server": "books", "step": 5, "tool": "query"}
+{"args": {}, "ok": true, "server": "sheets", "step": 6, "tool": "list_drive_items"}
+{"args": {"item": "CES-migration-side-log.xlsx"}, "ok": true, "server": "sheets", "step": 7, "tool": "workbook_used_range"}
+{"args": {"q": "adventure works invoice"}, "ok": true, "server": "email", "step": 8, "tool": "messages_list"}
+{"args": {"answers": {"combined_exposure": 119999.19, "erp_open_balance": 94749.19, "offbook_invoice_amount": 6200.0, "subsidiary_net_balance": 19050.0}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-030-tracker-formula-drift.jsonl b/trajectories/lgr100-030-tracker-formula-drift.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..e4be159206dd37aad384111d58e12cd30dda1eeb
--- /dev/null
+++ b/trajectories/lgr100-030-tracker-formula-drift.jsonl
@@ -0,0 +1,5 @@
+{"args": {"item": "AR-watchlist-tracker.xlsx"}, "ok": true, "server": "sheets", "step": 0, "tool": "get_drive_item"}
+{"args": {"item": "AR-watchlist-tracker.xlsx"}, "ok": true, "server": "sheets", "step": 1, "tool": "workbook_used_range"}
+{"args": {"sql": "SELECT c.name, ROUND(SUM(t.amount - t.settled), 2) AS open FROM erp_cust_trans t JOIN erp_customers c ON c.account = t.account WHERE t.account IN ('US-031','US-032','US-033') AND t.txn_type='Invoice' AND t.closed=0 GROUP BY c.name"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS total FROM erp_cust_trans WHERE account IN ('US-031','US-032','US-033') AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"erp_live_total": 127450.0, "stale_customers": "Tailwind Bikes, Ostara Labs", "tracker_cached_total": 118400.0, "tracker_rows_sum": 228138.01}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-031-ap-overdue-usmf.jsonl b/trajectories/lgr100-031-ap-overdue-usmf.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1fa7ccb4906876d8a93d474889f009326ec9db10
--- /dev/null
+++ b/trajectories/lgr100-031-ap-overdue-usmf.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "vendor invoices payable"}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entity_type"}
+{"args": {"sql": "SELECT ROUND(SUM(amount - settled), 2) AS total_overdue_ap FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date < '2026-03-02'"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"as_of_date": "2026-03-02", "total_overdue_ap": 30616849.18}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-032-ar-balance-fourthcoffee-east.jsonl b/trajectories/lgr100-032-ar-balance-fourthcoffee-east.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..78b8d5be3f52e32dc09a0a4fab787d68233d9916
--- /dev/null
+++ b/trajectories/lgr100-032-ar-balance-fourthcoffee-east.jsonl
@@ -0,0 +1,4 @@
+{"args": {"entity": "Customers", "filters": {"name": "Fourth Coffee East"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT COUNT(*) AS open_invoices, ROUND(SUM(amount - settled), 2) AS open_balance FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"action": "ContosoCustAgedBalancesLive", "parameters": {"customer_account": "SYNCUS-0069"}}, "ok": true, "server": "erp", "step": 2, "tool": "api_invoke_action"}
+{"args": {"answers": {"customer_account": "SYNCUS-0069", "open_invoice_count": 4, "outstanding_balance": 121321.26}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet.jsonl b/trajectories/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..78b8d5be3f52e32dc09a0a4fab787d68233d9916
--- /dev/null
+++ b/trajectories/lgr100-033-ar-balance-fourthcoffee-east-esc-burie-quiet.jsonl
@@ -0,0 +1,4 @@
+{"args": {"entity": "Customers", "filters": {"name": "Fourth Coffee East"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT COUNT(*) AS open_invoices, ROUND(SUM(amount - settled), 2) AS open_balance FROM erp_cust_trans WHERE account='SYNCUS-0069' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"action": "ContosoCustAgedBalancesLive", "parameters": {"customer_account": "SYNCUS-0069"}}, "ok": true, "server": "erp", "step": 2, "tool": "api_invoke_action"}
+{"args": {"answers": {"customer_account": "SYNCUS-0069", "open_invoice_count": 4, "outstanding_balance": 121321.26}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-034-cash-disc-fourthcoffee-east.jsonl b/trajectories/lgr100-034-cash-disc-fourthcoffee-east.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0e893de08a07d55aef68dbfe431ac2cfa7495c08
--- /dev/null
+++ b/trajectories/lgr100-034-cash-disc-fourthcoffee-east.jsonl
@@ -0,0 +1,6 @@
+{"args": {"entity": "Vendors", "filters": {"name": "Fourth Coffee East"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"entity": "CashDiscounts", "filters": {"code": "2%10N30"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, trans_date, due_date, cash_disc_code, ROUND(amount - settled, 2) AS open FROM erp_vend_trans WHERE account='SYNVEN-0069' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"query": "cash discount"}, "ok": true, "server": "docs", "step": 3, "tool": "search_documents"}
+{"args": {"q": "fourth coffee statement"}, "ok": true, "server": "email", "step": 4, "tool": "messages_list"}
+{"args": {"answers": {"has_active_discount": "yes", "potential_discount_usd": 437.11, "qualifying_invoices": "VINV-900001, VINV-900002"}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet.jsonl b/trajectories/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0e893de08a07d55aef68dbfe431ac2cfa7495c08
--- /dev/null
+++ b/trajectories/lgr100-035-cash-disc-fourthcoffee-east-esc-burie-quiet.jsonl
@@ -0,0 +1,6 @@
+{"args": {"entity": "Vendors", "filters": {"name": "Fourth Coffee East"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"entity": "CashDiscounts", "filters": {"code": "2%10N30"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, trans_date, due_date, cash_disc_code, ROUND(amount - settled, 2) AS open FROM erp_vend_trans WHERE account='SYNVEN-0069' AND txn_type='Invoice' AND closed=0"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"query": "cash discount"}, "ok": true, "server": "docs", "step": 3, "tool": "search_documents"}
+{"args": {"q": "fourth coffee statement"}, "ok": true, "server": "email", "step": 4, "tool": "messages_list"}
+{"args": {"answers": {"has_active_discount": "yes", "potential_discount_usd": 437.11, "qualifying_invoices": "VINV-900001, VINV-900002"}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-036-collections-sparrow.jsonl b/trajectories/lgr100-036-collections-sparrow.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..82a2b7e6875a3e5a693a44bcb586261c4f0bc78c
--- /dev/null
+++ b/trajectories/lgr100-036-collections-sparrow.jsonl
@@ -0,0 +1,5 @@
+{"args": {"entity": "Customers", "filters": {"name": "Sparrow Retail"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"entity": "CollectionLetters", "filters": {"account": "US-008"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, txn_type, trans_date, due_date, amount, settled, closed FROM erp_cust_trans WHERE account='US-008' ORDER BY trans_date"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"query": "dunning collection letter"}, "ok": true, "server": "docs", "step": 3, "tool": "search_documents"}
+{"args": {"answers": {"collection_letter_level": "2", "last_payment_amount": 22400.0, "last_payment_date": "2026-02-20", "open_balance": 28450.0}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-037-collections-sparrow-esc-burie-quiet.jsonl b/trajectories/lgr100-037-collections-sparrow-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..82a2b7e6875a3e5a693a44bcb586261c4f0bc78c
--- /dev/null
+++ b/trajectories/lgr100-037-collections-sparrow-esc-burie-quiet.jsonl
@@ -0,0 +1,5 @@
+{"args": {"entity": "Customers", "filters": {"name": "Sparrow Retail"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"entity": "CollectionLetters", "filters": {"account": "US-008"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, txn_type, trans_date, due_date, amount, settled, closed FROM erp_cust_trans WHERE account='US-008' ORDER BY trans_date"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"query": "dunning collection letter"}, "ok": true, "server": "docs", "step": 3, "tool": "search_documents"}
+{"args": {"answers": {"collection_letter_level": "2", "last_payment_amount": 22400.0, "last_payment_date": "2026-02-20", "open_balance": 28450.0}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-038-credit-limit-adatum.jsonl b/trajectories/lgr100-038-credit-limit-adatum.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b240850eccd8583df467af1b7b1e3cca059d835a
--- /dev/null
+++ b/trajectories/lgr100-038-credit-limit-adatum.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "customer credit limit"}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entity_type"}
+{"args": {"entity": "Customers", "filters": {"account": "SYNCUS-0001"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"answers": {"credit_limit": 25000, "customer_name": "A. Datum Corporation"}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-039-credit-limit-adatum-esc-burie-quiet.jsonl b/trajectories/lgr100-039-credit-limit-adatum-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b240850eccd8583df467af1b7b1e3cca059d835a
--- /dev/null
+++ b/trajectories/lgr100-039-credit-limit-adatum-esc-burie-quiet.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "customer credit limit"}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entity_type"}
+{"args": {"entity": "Customers", "filters": {"account": "SYNCUS-0001"}}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities"}
+{"args": {"answers": {"credit_limit": 25000, "customer_name": "A. Datum Corporation"}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-040-due-next-week-adventure.jsonl b/trajectories/lgr100-040-due-next-week-adventure.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3f15c1f484779a4dc3796b0b0a94a3f5a2a33c44
--- /dev/null
+++ b/trajectories/lgr100-040-due-next-week-adventure.jsonl
@@ -0,0 +1,3 @@
+{"args": {"entity": "Customers", "filters": {"account": "SYNCUS-0002"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0 AND due_date > '2026-03-02' AND due_date <= '2026-03-09'"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"invoice_count": 0, "invoice_numbers": "none"}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-041-due-next-week-adventure-esc-burie-quiet.jsonl b/trajectories/lgr100-041-due-next-week-adventure-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3f15c1f484779a4dc3796b0b0a94a3f5a2a33c44
--- /dev/null
+++ b/trajectories/lgr100-041-due-next-week-adventure-esc-burie-quiet.jsonl
@@ -0,0 +1,3 @@
+{"args": {"entity": "Customers", "filters": {"account": "SYNCUS-0002"}}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT invoice, due_date, ROUND(amount - settled, 2) AS open FROM erp_cust_trans WHERE account='SYNCUS-0002' AND txn_type='Invoice' AND closed=0 AND due_date > '2026-03-02' AND due_date <= '2026-03-09'"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"invoice_count": 0, "invoice_numbers": "none"}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-042-aged-balance-12.jsonl b/trajectories/lgr100-042-aged-balance-12.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..9aa7a09176e560ba4770851cffe6e03bda2c0221
--- /dev/null
+++ b/trajectories/lgr100-042-aged-balance-12.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "aged balances"}, "ok": true, "server": "erp", "step": 0, "tool": "api_find_actions"}
+{"args": {"sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 90"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"current_not_due": 5817896.81, "days_1_30": 3917195.87, "days_31_60": 2314492.37, "days_61_90": 2499959.29, "days_over_90": 16369769.19}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-043-aged-balance-6.jsonl b/trajectories/lgr100-043-aged-balance-6.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7cc282d69806b03fee288c1d30a1dd7787365203
--- /dev/null
+++ b/trajectories/lgr100-043-aged-balance-6.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "aged balances"}, "ok": true, "server": "erp", "step": 0, "tool": "api_find_actions"}
+{"args": {"action": "ContosoCustAgedBalancesLive", "parameters": {"customer_account": "US-027"}}, "ok": true, "server": "erp", "step": 1, "tool": "api_invoke_action"}
+{"args": {"answers": {"not_yet_due": 376.41, "over_90_days": 0.0, "total_past_due": 1084.11}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-044-aged-balance-7.jsonl b/trajectories/lgr100-044-aged-balance-7.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..687e4258ab0f26ba6f067f5ad5887d15050f87c0
--- /dev/null
+++ b/trajectories/lgr100-044-aged-balance-7.jsonl
@@ -0,0 +1,3 @@
+{"args": {"sql": "SELECT account, invoice, due_date, ROUND(amount-settled,2) AS open FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 180 LIMIT 25"}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT ROUND(COALESCE(SUM(amount-settled),0),2) FROM erp_cust_trans WHERE txn_type='Invoice' AND closed=0 AND julianday('2026-03-02') - julianday(due_date) > 180"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"invoice_count": 434, "past_due_180_plus_total": 9903381.01}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-045-aged-balance-8.jsonl b/trajectories/lgr100-045-aged-balance-8.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..7cc282d69806b03fee288c1d30a1dd7787365203
--- /dev/null
+++ b/trajectories/lgr100-045-aged-balance-8.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "aged balances"}, "ok": true, "server": "erp", "step": 0, "tool": "api_find_actions"}
+{"args": {"action": "ContosoCustAgedBalancesLive", "parameters": {"customer_account": "US-027"}}, "ok": true, "server": "erp", "step": 1, "tool": "api_invoke_action"}
+{"args": {"answers": {"not_yet_due": 376.41, "over_90_days": 0.0, "total_past_due": 1084.11}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-046-ap-invoices-3.jsonl b/trajectories/lgr100-046-ap-invoices-3.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..939c078bac9a0cf0b0a736da5d2ddf8f135377c8
--- /dev/null
+++ b/trajectories/lgr100-046-ap-invoices-3.jsonl
@@ -0,0 +1,3 @@
+{"args": {"sql": "SELECT invoice, account, due_date, ROUND(amount-settled,2) AS open FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date BETWEEN '2026-03-02' AND '2026-03-08' LIMIT 25"}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities_sql"}
+{"args": {"sql": "SELECT COUNT(*) AS invoices, ROUND(SUM(amount-settled),2) AS total FROM erp_vend_trans WHERE txn_type='Invoice' AND closed=0 AND due_date BETWEEN '2026-03-02' AND '2026-03-08'"}, "ok": true, "server": "erp", "step": 1, "tool": "data_find_entities_sql"}
+{"args": {"answers": {"invoices_due_this_week_count": 58, "invoices_due_this_week_total": 1540586.74}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..a25584a73759d93db665b1f902cbdd617d36a3ea
--- /dev/null
+++ b/trajectories/lgr100-047-2141-hard-15-parallel-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,94 @@
+{"args": {"domain": [["kind", "=", "customer"]], "model": "res.partner"}, "ok": true, "server": "odoo", "step": 0, "tool": "search_read"}
+{"args": {"domain": [["product_code", "=", "PBCA97346FF-BAT-PPS-010"]], "model": "product.supplierinfo"}, "ok": true, "server": "odoo", "step": 1, "tool": "search_read"}
+{"args": {"domain": [["product_code", "=", "PBCA97346FF-BAT-PPS-010"]], "model": "stock.quant"}, "ok": true, "server": "odoo", "step": 2, "tool": "search_read"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-10", "name": "S00001", "partner_ref": "rBCA97346FF_c01", "state": "draft"}}, "ok": true, "server": "odoo", "step": 3, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00001", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 4, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-10", "name": "S00002", "partner_ref": "rBCA97346FF_c02", "state": "draft"}}, "ok": true, "server": "odoo", "step": 5, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00002", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 22}}, "ok": true, "server": "odoo", "step": 6, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-10", "name": "S00003", "partner_ref": "rBCA97346FF_c03", "state": "draft"}}, "ok": true, "server": "odoo", "step": 7, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00003", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 22}}, "ok": true, "server": "odoo", "step": 8, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-10", "name": "S00004", "partner_ref": "rBCA97346FF_c04", "state": "draft"}}, "ok": true, "server": "odoo", "step": 9, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00004", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 18}}, "ok": true, "server": "odoo", "step": 10, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-10", "name": "S00005", "partner_ref": "rBCA97346FF_c05", "state": "draft"}}, "ok": true, "server": "odoo", "step": 11, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00005", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 12, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-10", "name": "S00006", "partner_ref": "rBCA97346FF_c06", "state": "draft"}}, "ok": true, "server": "odoo", "step": 13, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00006", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 20}}, "ok": true, "server": "odoo", "step": 14, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-11", "name": "S00007", "partner_ref": "rBCA97346FF_c07", "state": "draft"}}, "ok": true, "server": "odoo", "step": 15, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00007", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 32}}, "ok": true, "server": "odoo", "step": 16, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-11", "name": "S00008", "partner_ref": "rBCA97346FF_c08", "state": "draft"}}, "ok": true, "server": "odoo", "step": 17, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00008", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 18, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-11", "name": "S00009", "partner_ref": "rBCA97346FF_c09", "state": "draft"}}, "ok": true, "server": "odoo", "step": 19, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00009", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 18}}, "ok": true, "server": "odoo", "step": 20, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-11", "name": "S00010", "partner_ref": "rBCA97346FF_c10", "state": "draft"}}, "ok": true, "server": "odoo", "step": 21, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00010", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 18}}, "ok": true, "server": "odoo", "step": 22, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-11", "name": "S00011", "partner_ref": "rBCA97346FF_c11", "state": "draft"}}, "ok": true, "server": "odoo", "step": 23, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00011", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 18}}, "ok": true, "server": "odoo", "step": 24, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-11", "name": "S00012", "partner_ref": "rBCA97346FF_c12", "state": "draft"}}, "ok": true, "server": "odoo", "step": 25, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00012", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 26, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-11", "name": "S00013", "partner_ref": "rBCA97346FF_c13", "state": "draft"}}, "ok": true, "server": "odoo", "step": 27, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00013", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 25}}, "ok": true, "server": "odoo", "step": 28, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-12", "name": "S00014", "partner_ref": "rBCA97346FF_c14", "state": "draft"}}, "ok": true, "server": "odoo", "step": 29, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00014", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 20}}, "ok": true, "server": "odoo", "step": 30, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-12", "name": "S00015", "partner_ref": "rBCA97346FF_c15", "state": "draft"}}, "ok": true, "server": "odoo", "step": 31, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00015", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 32}}, "ok": true, "server": "odoo", "step": 32, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-13", "name": "S00016", "partner_ref": "rBCA97346FF_c16", "state": "draft"}}, "ok": true, "server": "odoo", "step": 33, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00016", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 21}}, "ok": true, "server": "odoo", "step": 34, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-13", "name": "S00017", "partner_ref": "rBCA97346FF_c17", "state": "draft"}}, "ok": true, "server": "odoo", "step": 35, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00017", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 25}}, "ok": true, "server": "odoo", "step": 36, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-13", "name": "S00018", "partner_ref": "rBCA97346FF_c18", "state": "draft"}}, "ok": true, "server": "odoo", "step": 37, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00018", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 18}}, "ok": true, "server": "odoo", "step": 38, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-13", "name": "S00019", "partner_ref": "rBCA97346FF_c19", "state": "draft"}}, "ok": true, "server": "odoo", "step": 39, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00019", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 40, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-13", "name": "S00020", "partner_ref": "rBCA97346FF_c20", "state": "draft"}}, "ok": true, "server": "odoo", "step": 41, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00020", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 22}}, "ok": true, "server": "odoo", "step": 42, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-13", "name": "S00021", "partner_ref": "rBCA97346FF_c21", "state": "draft"}}, "ok": true, "server": "odoo", "step": 43, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00021", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 44, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-14", "name": "S00022", "partner_ref": "rBCA97346FF_c22", "state": "draft"}}, "ok": true, "server": "odoo", "step": 45, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00022", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 31}}, "ok": true, "server": "odoo", "step": 46, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-14", "name": "S00023", "partner_ref": "rBCA97346FF_c23", "state": "draft"}}, "ok": true, "server": "odoo", "step": 47, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00023", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 23}}, "ok": true, "server": "odoo", "step": 48, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-14", "name": "S00024", "partner_ref": "rBCA97346FF_c24", "state": "draft"}}, "ok": true, "server": "odoo", "step": 49, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00024", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 50, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-15", "name": "S00025", "partner_ref": "rBCA97346FF_c25", "state": "draft"}}, "ok": true, "server": "odoo", "step": 51, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00025", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 25}}, "ok": true, "server": "odoo", "step": 52, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-15", "name": "S00026", "partner_ref": "rBCA97346FF_c26", "state": "draft"}}, "ok": true, "server": "odoo", "step": 53, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00026", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 24}}, "ok": true, "server": "odoo", "step": 54, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-15", "name": "S00027", "partner_ref": "rBCA97346FF_c27", "state": "draft"}}, "ok": true, "server": "odoo", "step": 55, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00027", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 19}}, "ok": true, "server": "odoo", "step": 56, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-15", "name": "S00028", "partner_ref": "rBCA97346FF_c28", "state": "draft"}}, "ok": true, "server": "odoo", "step": 57, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00028", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 32}}, "ok": true, "server": "odoo", "step": 58, "tool": "create"}
+{"args": {"model": "sale.order", "values": {"commitment_date": "2026-03-15", "name": "S00029", "partner_ref": "rBCA97346FF_c29", "state": "draft"}}, "ok": true, "server": "odoo", "step": 59, "tool": "create"}
+{"args": {"model": "sale.order.line", "values": {"order_name": "S00029", "price_unit": 2771.11, "product_code": "PBCA97346FF-BAT-PPS-010", "qty": 20}}, "ok": true, "server": "odoo", "step": 60, "tool": "create"}
+{"args": {"model": "sale.order", "names": ["S00001", "S00002", "S00003", "S00004", "S00005", "S00006", "S00007", "S00008", "S00009", "S00010", "S00011", "S00012", "S00013", "S00014", "S00015", "S00016", "S00017", "S00018", "S00019", "S00020", "S00021", "S00022", "S00023", "S00024", "S00025", "S00026", "S00027", "S00028", "S00029"]}, "ok": true, "server": "odoo", "step": 61, "tool": "action_confirm"}
+{"args": {"model": "purchase.order", "values": {"date_planned": "2026-03-08", "name": "P00001", "origin": "S00001, S00002, S00003, S00004, S00005, S00006, S00007, S00008, S00009, S00010, S00011, S00012, S00013, S00014, S00015, S00016, S00017, S00018, S00019, S00020, S00021, S00022, S00023, S00024, S00025, S00026, S00027, S00028, S00029", "partner_ref": "rBCA97346FF_q10", "state": "draft"}}, "ok": true, "server": "odoo", "step": 62, "tool": "create"}
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diff --git a/trajectories/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..fec720f6b422291a0a059381d4b8f27b32aa1263
--- /dev/null
+++ b/trajectories/lgr100-048-2143-hard-15-parallel-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,98 @@
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diff --git a/trajectories/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ade01feae240894ebf2f4fccf08aaa31dbfd75c5
--- /dev/null
+++ b/trajectories/lgr100-049-2144-hard-15-parallel-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,92 @@
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diff --git a/trajectories/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..34b9c2cc2ac1d26e9fa3d862825c7ffb594f4617
--- /dev/null
+++ b/trajectories/lgr100-050-2146-hard-15-parallel-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,104 @@
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diff --git a/trajectories/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..63e5d644e258a2302ffe57267589740c2a488dff
--- /dev/null
+++ b/trajectories/lgr100-051-2147-hard-15-parallel-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,99 @@
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diff --git a/trajectories/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..eb8ce392b64b68db6cf613a02f22bf8971042e40
--- /dev/null
+++ b/trajectories/lgr100-052-2149-hard-15-parallel-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,98 @@
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diff --git a/trajectories/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..62c2045eae435de68403541b51b36e5b19b9d911
--- /dev/null
+++ b/trajectories/lgr100-053-2160-hard-17-shared-component-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,91 @@
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diff --git a/trajectories/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..dd9d1c45ec217b55a05c780d385d99cd0c2cc43e
--- /dev/null
+++ b/trajectories/lgr100-054-2161-hard-17-shared-component-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,91 @@
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diff --git a/trajectories/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..49ba7cdcc3251ea2efb3d7471c286b2ef13f7696
--- /dev/null
+++ b/trajectories/lgr100-055-2168-hard-17-shared-component-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,92 @@
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diff --git a/trajectories/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned.jsonl b/trajectories/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f5886f673e4cc8c163d09b7508ffd2af544b894e
--- /dev/null
+++ b/trajectories/lgr100-056-2170-hard-17-shared-component-subassemblies-branch-assigned.jsonl
@@ -0,0 +1,98 @@
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+{"args": {"model": "mrp.production", "values": {"date_planned": "2026-03-04", "name": "MO00005", "origin": "S00001, S00002, S00003, S00004, S00005, S00006, S00007, S00008, S00009, S00010, S00011, S00012, S00013, S00014, S00015, S00016, S00017, S00018, S00019, S00020, S00021, S00022, S00023, S00024, S00025, S00026, S00027, S00028, S00029, S00030, S00031", "product_code": "PA06114EC29-SUBB-02", "qty": 212, "state": "draft", "workcenter_code": "PA06114EC29-WC03"}}, "ok": true, "server": "odoo", "step": 95, "tool": "create"}
+{"args": {"model": "mrp.production", "names": ["MO00001", "MO00002", "MO00003", "MO00004", "MO00005"]}, "ok": true, "server": "odoo", "step": 96, "tool": "action_confirm"}
+{"args": {"answers": {"assembly_cost": 15476.0, "orders_accepted": 31, "orders_rejected": 0, "units_manufactured": 636, "units_purchased": 1009}}, "ok": true, "server": "harness", "step": 97, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-057-policy-validation-feb.jsonl b/trajectories/lgr100-057-policy-validation-feb.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f254caeb0c907aae3424c0787d6b8ad02387d05e
--- /dev/null
+++ b/trajectories/lgr100-057-policy-validation-feb.jsonl
@@ -0,0 +1,9 @@
+{"args": {"query": "per diem travel policy"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--travel-perdiem-and-substantiation"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"doc_id": "reference--gsa-mie-rate-table"}, "ok": true, "server": "docs", "step": 2, "tool": "get_document"}
+{"args": {}, "ok": true, "server": "sheets", "step": 3, "tool": "list_drive_items"}
+{"args": {"item": "expense-extract-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"q": "GreenLedger Summit registration"}, "ok": true, "server": "email", "step": 5, "tool": "messages_list"}
+{"args": {"id": "em-2201"}, "ok": true, "server": "email", "step": 6, "tool": "messages_get"}
+{"args": {"id": "em-2202"}, "ok": true, "server": "email", "step": 7, "tool": "messages_get"}
+{"args": {"answers": {"conference_mie_rate": 92, "nonaccountable_amount": 612.4, "perdiem_due": 404.0, "reimbursable_total": 2932.5, "structural_exception_line": "EXP-2058", "structural_exception_reason": "A. Okonkwo's Chicago lodging is inside every per-line limit - receipt attached, business purpose stated, 306.20 a night against a 350 cap - but it was incurred 2025-12-08 and first substantiated 2026-02-19, 73 days later, outside the 60 day fixed-date safe harbour, so it falls out of the accountable plan and is paid through payroll as W-2 wages rather than reimbursed tax-free."}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-058-te-sample-feb.jsonl b/trajectories/lgr100-058-te-sample-feb.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..578533e63b1eece8bdcd50dd381519573533d78d
--- /dev/null
+++ b/trajectories/lgr100-058-te-sample-feb.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "travel expense policy"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--travel-and-expense"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"item": "expense-export-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 2, "tool": "workbook_used_range"}
+{"args": {"answers": {"out_of_policy_amount": 1512.4, "violating_report_ids": "EXP-1042, EXP-1047, EXP-1051", "violation_count": 3, "worst_violation_rule": "business class airfare requires VP pre-approval; economy is the standard"}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-059-te-sample-feb-esc-burie-quiet.jsonl b/trajectories/lgr100-059-te-sample-feb-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..578533e63b1eece8bdcd50dd381519573533d78d
--- /dev/null
+++ b/trajectories/lgr100-059-te-sample-feb-esc-burie-quiet.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "travel expense policy"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--travel-and-expense"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"item": "expense-export-2026-02.xlsx"}, "ok": true, "server": "sheets", "step": 2, "tool": "workbook_used_range"}
+{"args": {"answers": {"out_of_policy_amount": 1512.4, "violating_report_ids": "EXP-1042, EXP-1047, EXP-1051", "violation_count": 3, "worst_violation_rule": "business class airfare requires VP pre-approval; economy is the standard"}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-060-threshold-shaving-h1.jsonl b/trajectories/lgr100-060-threshold-shaving-h1.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..74a07736e454568a321bc035d9923dcec6adc637
--- /dev/null
+++ b/trajectories/lgr100-060-threshold-shaving-h1.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "threshold shaving"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--expense-audit-detectors"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"item": "expense-extract-6mo.xlsx"}, "ok": true, "server": "sheets", "step": 2, "tool": "workbook_used_range"}
+{"args": {"answers": {"detector_triggered": "yes", "shaving_claim_count": 6, "shaving_employee": "K. Osei", "shaving_total": 2850.74}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-061-scale-trap-lmt.jsonl b/trajectories/lgr100-061-scale-trap-lmt.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b9b7ad8fa75c009e49f878ea718c6c81a8b92b87
--- /dev/null
+++ b/trajectories/lgr100-061-scale-trap-lmt.jsonl
@@ -0,0 +1,6 @@
+{"args": {"query": "Lockheed Martin"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "Revenues", "ticker": "LMT"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "OperatingIncomeLoss", "ticker": "LMT"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"q": "in millions"}, "ok": true, "server": "filings", "step": 3, "tool": "full_text_search"}
+{"args": {"ticker": "LMT"}, "ok": true, "server": "filings", "step": 4, "tool": "get_submissions"}
+{"args": {"answers": {"operating_margin_pct": 9.87, "revenue": 71043, "revenue_scale": "millions", "revenue_usd": 71043000000, "source_form": "10-K"}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-062-tac-10k-income-report.jsonl b/trajectories/lgr100-062-tac-10k-income-report.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f30bee23e66045e0aa46db0a0473330f4bacd352
--- /dev/null
+++ b/trajectories/lgr100-062-tac-10k-income-report.jsonl
@@ -0,0 +1,13 @@
+{"args": {"query": "external company financial summaries basis"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--external-reporting-basis"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"query": "Calderwood"}, "ok": true, "server": "filings", "step": 2, "tool": "lookup_company"}
+{"args": {"ticker": "CLWS"}, "ok": true, "server": "filings", "step": 3, "tool": "get_submissions"}
+{"args": {"q": "discontinued operations"}, "ok": true, "server": "filings", "step": 4, "tool": "full_text_search"}
+{"args": {"ticker": "CLWS"}, "ok": true, "server": "filings", "step": 5, "tool": "list_available_concepts"}
+{"args": {"concept": "Revenues", "ticker": "CLWS"}, "ok": true, "server": "filings", "step": 6, "tool": "get_company_concept"}
+{"args": {"concept": "CostOfRevenue", "ticker": "CLWS"}, "ok": true, "server": "filings", "step": 7, "tool": "get_company_concept"}
+{"args": {"concept": "GrossProfit", "ticker": "CLWS"}, "ok": true, "server": "filings", "step": 8, "tool": "get_company_concept"}
+{"args": {"concept": "OperatingIncomeLoss", "ticker": "CLWS"}, "ok": true, "server": "filings", "step": 9, "tool": "get_company_concept"}
+{"args": {"concept": "ProfitLoss", "ticker": "CLWS"}, "ok": true, "server": "filings", "step": 10, "tool": "get_company_concept"}
+{"args": {"concept": "NetIncomeLoss", "ticker": "CLWS"}, "ok": true, "server": "filings", "step": 11, "tool": "get_company_concept"}
+{"args": {"answers": {"cost_of_revenue": 642000000, "gross_profit": 840000000, "net_income": 412000000, "operating_income": 313000000, "operating_margin_pct": 21.12, "revenue": 1482000000, "revenue_growth_pct": 14.35, "source_form": "10-K for fiscal year 2025, accession 0009900413-26-000007, Item 8"}}, "ok": true, "server": "harness", "step": 12, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-063-tsla-operating-margin-q3.jsonl b/trajectories/lgr100-063-tsla-operating-margin-q3.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2390a8cf3c141527ffb639b2d4d38b1bc6798e7c
--- /dev/null
+++ b/trajectories/lgr100-063-tsla-operating-margin-q3.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "Tesla"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "OperatingIncomeLoss", "ticker": "TSLA"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "RevenueFromContractWithCustomerExcludingAssessedTax", "ticker": "TSLA"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"answers": {"operating_income": 1624000000, "operating_margin_pct": 5.78, "quarter_revenue": 28095000000}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet.jsonl b/trajectories/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..2390a8cf3c141527ffb639b2d4d38b1bc6798e7c
--- /dev/null
+++ b/trajectories/lgr100-064-tsla-operating-margin-q3-esc-burie-quiet.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "Tesla"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "OperatingIncomeLoss", "ticker": "TSLA"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "RevenueFromContractWithCustomerExcludingAssessedTax", "ticker": "TSLA"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"answers": {"operating_income": 1624000000, "operating_margin_pct": 5.78, "quarter_revenue": 28095000000}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-065-unavailable-concept.jsonl b/trajectories/lgr100-065-unavailable-concept.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..1cac0cc13b1c52f2542594f4dff21227153dca6a
--- /dev/null
+++ b/trajectories/lgr100-065-unavailable-concept.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "Walmart"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"ticker": "WMT"}, "ok": true, "server": "filings", "step": 1, "tool": "list_available_concepts"}
+{"args": {"concept": "ResearchAndDevelopmentExpense", "ticker": "WMT"}, "note": "concept not in snapshot for this company", "ok": false, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"answers": {"concepts_checked": "ResearchAndDevelopmentExpense (absent); snapshot holds only CostOfRevenue and InventoryNet for WMT", "figure_available": "no", "rd_expense": "none"}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-066-wmt-inventory-turnover.jsonl b/trajectories/lgr100-066-wmt-inventory-turnover.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c4ffb5009b4fcd5ad07a1d1109e315680cc8e23c
--- /dev/null
+++ b/trajectories/lgr100-066-wmt-inventory-turnover.jsonl
@@ -0,0 +1,5 @@
+{"args": {"query": "Walmart"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"ticker": "WMT"}, "ok": true, "server": "filings", "step": 1, "tool": "list_available_concepts"}
+{"args": {"concept": "CostOfRevenue", "ticker": "WMT"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"concept": "InventoryNet", "ticker": "WMT"}, "ok": true, "server": "filings", "step": 3, "tool": "get_company_concept"}
+{"args": {"answers": {"average_inventory": 55663500000, "cost_of_revenue": 511753000000, "inventory_turnover": 9.19}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-067-wmt-inventory-turnover-esc-burie-quiet.jsonl b/trajectories/lgr100-067-wmt-inventory-turnover-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c4ffb5009b4fcd5ad07a1d1109e315680cc8e23c
--- /dev/null
+++ b/trajectories/lgr100-067-wmt-inventory-turnover-esc-burie-quiet.jsonl
@@ -0,0 +1,5 @@
+{"args": {"query": "Walmart"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"ticker": "WMT"}, "ok": true, "server": "filings", "step": 1, "tool": "list_available_concepts"}
+{"args": {"concept": "CostOfRevenue", "ticker": "WMT"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"concept": "InventoryNet", "ticker": "WMT"}, "ok": true, "server": "filings", "step": 3, "tool": "get_company_concept"}
+{"args": {"answers": {"average_inventory": 55663500000, "cost_of_revenue": 511753000000, "inventory_turnover": 9.19}}, "ok": true, "server": "harness", "step": 4, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-068-xom-cat-liquidity-compare.jsonl b/trajectories/lgr100-068-xom-cat-liquidity-compare.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..53304590d7d306a3bbc8153c145c0b828750b5e0
--- /dev/null
+++ b/trajectories/lgr100-068-xom-cat-liquidity-compare.jsonl
@@ -0,0 +1,4 @@
+{"args": {"concept": "AssetsCurrent", "fy": "2024"}, "ok": true, "server": "filings", "step": 0, "tool": "get_xbrl_frames"}
+{"args": {"concept": "AssetsCurrent", "ticker": "XOM"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "AssetsCurrent", "ticker": "CAT"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"answers": {"cat_current_assets": 45682000000, "difference": 46308000000, "larger_company": "ExxonMobil", "xom_current_assets": 91990000000}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-069-xom-current-assets.jsonl b/trajectories/lgr100-069-xom-current-assets.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..d4b7ca7511604b9e812b5bd2315026bf5ab8a26d
--- /dev/null
+++ b/trajectories/lgr100-069-xom-current-assets.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "ExxonMobil"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "AssetsCurrent", "ticker": "XOM"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"answers": {"current_assets_usd": 91990000000, "period_end": "2024-12-31", "source_form": "10-K"}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-070-xom-current-assets-esc-burie-quiet.jsonl b/trajectories/lgr100-070-xom-current-assets-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..d4b7ca7511604b9e812b5bd2315026bf5ab8a26d
--- /dev/null
+++ b/trajectories/lgr100-070-xom-current-assets-esc-burie-quiet.jsonl
@@ -0,0 +1,3 @@
+{"args": {"query": "ExxonMobil"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "AssetsCurrent", "ticker": "XOM"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"answers": {"current_assets_usd": 91990000000, "period_end": "2024-12-31", "source_form": "10-K"}}, "ok": true, "server": "harness", "step": 2, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-071-jpm-debt-to-equity-127.jsonl b/trajectories/lgr100-071-jpm-debt-to-equity-127.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..f9514fd51090fec6e2b8081f949e306f8649caa2
--- /dev/null
+++ b/trajectories/lgr100-071-jpm-debt-to-equity-127.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "JPMORGAN CHASE & CO"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "Liabilities", "ticker": "JPM"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "StockholdersEquity", "ticker": "JPM"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"answers": {"debt_to_equity": 10.6105, "stockholders_equity": 344758000000.0, "total_liabilities": 3658056000000.0}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-072-ko-operating-margin-pct-035.jsonl b/trajectories/lgr100-072-ko-operating-margin-pct-035.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..19c79808cc3ab560cad1bbc7b80dafaa9d950640
--- /dev/null
+++ b/trajectories/lgr100-072-ko-operating-margin-pct-035.jsonl
@@ -0,0 +1,4 @@
+{"args": {"query": "COCA COLA CO"}, "ok": true, "server": "filings", "step": 0, "tool": "lookup_company"}
+{"args": {"concept": "OperatingIncomeLoss", "ticker": "KO"}, "ok": true, "server": "filings", "step": 1, "tool": "get_company_concept"}
+{"args": {"concept": "Revenues", "ticker": "KO"}, "ok": true, "server": "filings", "step": 2, "tool": "get_company_concept"}
+{"args": {"answers": {"operating_income": 13762000000.0, "operating_margin_pct": 28.71, "revenue": 47941000000.0}}, "ok": true, "server": "harness", "step": 3, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-073-budget-variance-feb.jsonl b/trajectories/lgr100-073-budget-variance-feb.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..182fcec804d974c05e655a7193a03fbbddc79453
--- /dev/null
+++ b/trajectories/lgr100-073-budget-variance-feb.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "FIN-FPA-04"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--fpna-variance-review"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {}, "ok": true, "server": "sheets", "step": 2, "tool": "list_drive_items"}
+{"args": {"item": "FY26-opex-budget.xlsx"}, "ok": true, "server": "sheets", "step": 3, "tool": "get_drive_item"}
+{"args": {"item": "FY26-actuals-jan-feb.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_worksheets"}
+{"args": {"item": "FY26-actuals-jan-feb.xlsx"}, "ok": true, "server": "sheets", "step": 5, "tool": "workbook_used_range"}
+{"args": {"item": "FY26-opex-budget.xlsx"}, "ok": true, "server": "sheets", "step": 6, "tool": "workbook_used_range"}
+{"args": {"q": "Facilities"}, "ok": true, "server": "sheets", "step": 7, "tool": "drive_search"}
+{"args": {"doc_id": "policy--fpna-variance-review"}, "ok": true, "server": "docs", "step": 8, "tool": "get_document_metadata"}
+{"args": {"answers": {"flagged_count": 4, "flagged_ids": "Engineering_Software_202602, Sales_Travel_202602, Marketing_Training_202602, Operations_Equipment_202601", "unfavourable_total_usd": 38515.4}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-074-budget-variance-feb-esc-burie-quiet.jsonl b/trajectories/lgr100-074-budget-variance-feb-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..182fcec804d974c05e655a7193a03fbbddc79453
--- /dev/null
+++ b/trajectories/lgr100-074-budget-variance-feb-esc-burie-quiet.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "FIN-FPA-04"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "policy--fpna-variance-review"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {}, "ok": true, "server": "sheets", "step": 2, "tool": "list_drive_items"}
+{"args": {"item": "FY26-opex-budget.xlsx"}, "ok": true, "server": "sheets", "step": 3, "tool": "get_drive_item"}
+{"args": {"item": "FY26-actuals-jan-feb.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_worksheets"}
+{"args": {"item": "FY26-actuals-jan-feb.xlsx"}, "ok": true, "server": "sheets", "step": 5, "tool": "workbook_used_range"}
+{"args": {"item": "FY26-opex-budget.xlsx"}, "ok": true, "server": "sheets", "step": 6, "tool": "workbook_used_range"}
+{"args": {"q": "Facilities"}, "ok": true, "server": "sheets", "step": 7, "tool": "drive_search"}
+{"args": {"doc_id": "policy--fpna-variance-review"}, "ok": true, "server": "docs", "step": 8, "tool": "get_document_metadata"}
+{"args": {"answers": {"flagged_count": 4, "flagged_ids": "Engineering_Software_202602, Sales_Travel_202602, Marketing_Training_202602, Operations_Equipment_202601", "unfavourable_total_usd": 38515.4}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-075-payroll-attendance-tieout.jsonl b/trajectories/lgr100-075-payroll-attendance-tieout.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..65ccfed313f880294d4791e068ffd702d1bbfa6b
--- /dev/null
+++ b/trajectories/lgr100-075-payroll-attendance-tieout.jsonl
@@ -0,0 +1,9 @@
+{"args": {}, "ok": true, "server": "sheets", "step": 0, "tool": "list_drive_items"}
+{"args": {"query": "payroll register review"}, "ok": true, "server": "docs", "step": 1, "tool": "search_documents"}
+{"args": {"doc_id": "sop--payroll-register-review"}, "ok": true, "server": "docs", "step": 2, "tool": "get_document"}
+{"args": {"item": "attendance-export-2026-02-H2.xlsx"}, "ok": true, "server": "sheets", "step": 3, "tool": "workbook_used_range"}
+{"args": {"item": "payroll-register-2026-02-H2.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"item": "comp-rate-schedule-2026.xlsx"}, "ok": true, "server": "sheets", "step": 5, "tool": "workbook_used_range"}
+{"args": {"item": "comp-rate-schedule-2026.xlsx"}, "ok": true, "server": "sheets", "step": 6, "tool": "get_drive_item"}
+{"args": {"q": "LOA-2026-014"}, "ok": true, "server": "sheets", "step": 7, "tool": "drive_search"}
+{"args": {"answers": {"discrepancy_employee_ids": "E-1044, E-1045", "net_variance_usd": -79.0, "overpayment_usd": 129.0, "underpaid_employee": "E-1045 Aisha Bello", "underpayment_usd": 208.0}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-076-payroll-attendance-tieout-esc-burie-quiet.jsonl b/trajectories/lgr100-076-payroll-attendance-tieout-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..65ccfed313f880294d4791e068ffd702d1bbfa6b
--- /dev/null
+++ b/trajectories/lgr100-076-payroll-attendance-tieout-esc-burie-quiet.jsonl
@@ -0,0 +1,9 @@
+{"args": {}, "ok": true, "server": "sheets", "step": 0, "tool": "list_drive_items"}
+{"args": {"query": "payroll register review"}, "ok": true, "server": "docs", "step": 1, "tool": "search_documents"}
+{"args": {"doc_id": "sop--payroll-register-review"}, "ok": true, "server": "docs", "step": 2, "tool": "get_document"}
+{"args": {"item": "attendance-export-2026-02-H2.xlsx"}, "ok": true, "server": "sheets", "step": 3, "tool": "workbook_used_range"}
+{"args": {"item": "payroll-register-2026-02-H2.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"item": "comp-rate-schedule-2026.xlsx"}, "ok": true, "server": "sheets", "step": 5, "tool": "workbook_used_range"}
+{"args": {"item": "comp-rate-schedule-2026.xlsx"}, "ok": true, "server": "sheets", "step": 6, "tool": "get_drive_item"}
+{"args": {"q": "LOA-2026-014"}, "ok": true, "server": "sheets", "step": 7, "tool": "drive_search"}
+{"args": {"answers": {"discrepancy_employee_ids": "E-1044, E-1045", "net_variance_usd": -79.0, "overpayment_usd": 129.0, "underpaid_employee": "E-1045 Aisha Bello", "underpayment_usd": 208.0}}, "ok": true, "server": "harness", "step": 8, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-077-rd-tax-credit-asc.jsonl b/trajectories/lgr100-077-rd-tax-credit-asc.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4017dfadf620aba1c5924e12b80673030a15087d
--- /dev/null
+++ b/trajectories/lgr100-077-rd-tax-credit-asc.jsonl
@@ -0,0 +1,8 @@
+{"args": {"query": "research credit"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "rd-credit-policy"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"doc_id": "tax-positions-2025"}, "ok": true, "server": "docs", "step": 2, "tool": "get_document"}
+{"args": {}, "ok": true, "server": "sheets", "step": 3, "tool": "list_drive_items"}
+{"args": {"item": "rd-wage-detail-2025.xlsx"}, "ok": true, "server": "sheets", "step": 4, "tool": "workbook_used_range"}
+{"args": {"item": "rd-nonwage-costs-2025.xlsx"}, "ok": true, "server": "sheets", "step": 5, "tool": "workbook_used_range"}
+{"args": {"item": "rd-qre-history.xlsx"}, "ok": true, "server": "sheets", "step": 6, "tool": "workbook_used_range"}
+{"args": {"answers": {"asc_credit": 61047.0, "base_amount": 345800.0, "base_period_years": "2022, 2023, 2024", "current_year_qre": 781850.0, "prior_three_year_qre_total": 2074800.0, "qualified_wages": 471200.0, "reduced_credit_elected": "no - the 2025 return positions memo declines the section 280C reduced credit, so Section B carries the full 14% credit"}}, "ok": true, "server": "harness", "step": 7, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-078-feb-saas-accrual.jsonl b/trajectories/lgr100-078-feb-saas-accrual.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..72eba76c3b44bb0e76604c935919597c8662a7e5
--- /dev/null
+++ b/trajectories/lgr100-078-feb-saas-accrual.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "accrual"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "accrual-sop"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"query": "CloudScale"}, "ok": true, "server": "docs", "step": 2, "tool": "search_documents"}
+{"args": {"doc_id": "cloudscale-msa-v1-superseded"}, "ok": true, "server": "docs", "step": 3, "tool": "get_document_metadata"}
+{"args": {"doc_id": "cloudscale-msa-v2"}, "ok": true, "server": "docs", "step": 4, "tool": "get_document"}
+{"args": {"sql": "SELECT invoice, description, trans_date, amount FROM erp_vend_trans WHERE account='PVEN-11'"}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities_sql"}
+{"args": {"entity": "FiscalPeriods", "filters": {"period_id": "2026-02"}}, "ok": true, "server": "erp", "step": 6, "tool": "data_find_entities"}
+{"args": {"entity": "ApprovalPolicies", "filters": {"doc_type": "Journal Entry"}}, "ok": true, "server": "erp", "step": 7, "tool": "data_find_entities"}
+{"args": {"action": "ContosoJournalPropose", "parameters": {"description": "Feb 2026 accrual - CloudScale Analytics subscription (12-28 Feb, 17 days @ 1,800,000/365)", "lines": [{"account_code": "600200", "debit": 83835.62, "description": "CloudScale subscription accrual Feb 2026", "dimension_dept": "IT"}, {"account_code": "210100", "credit": 83835.62, "description": "Accrued liability - CloudScale"}], "posting_date": "2026-02-28", "voucher_type": "Journal Entry"}}, "ok": true, "server": "erp", "step": 8, "tool": "api_invoke_action"}
+{"args": {"answers": {"accrual_amount": 83835.62, "journal_id": "GJ-00001", "journal_state": "draft", "next_step": "Pending Controller approval - approval request APR-00001 was raised because the journal exceeds the 25,000.00 staff-accountant delegation-of-authority threshold (policy DOA-JE-01). The Controller must approve it before it can be posted; it is not booked yet.", "service_days": 17}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-079-feb-saas-accrual-esc-burie-quiet.jsonl b/trajectories/lgr100-079-feb-saas-accrual-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..72eba76c3b44bb0e76604c935919597c8662a7e5
--- /dev/null
+++ b/trajectories/lgr100-079-feb-saas-accrual-esc-burie-quiet.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "accrual"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "accrual-sop"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"query": "CloudScale"}, "ok": true, "server": "docs", "step": 2, "tool": "search_documents"}
+{"args": {"doc_id": "cloudscale-msa-v1-superseded"}, "ok": true, "server": "docs", "step": 3, "tool": "get_document_metadata"}
+{"args": {"doc_id": "cloudscale-msa-v2"}, "ok": true, "server": "docs", "step": 4, "tool": "get_document"}
+{"args": {"sql": "SELECT invoice, description, trans_date, amount FROM erp_vend_trans WHERE account='PVEN-11'"}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities_sql"}
+{"args": {"entity": "FiscalPeriods", "filters": {"period_id": "2026-02"}}, "ok": true, "server": "erp", "step": 6, "tool": "data_find_entities"}
+{"args": {"entity": "ApprovalPolicies", "filters": {"doc_type": "Journal Entry"}}, "ok": true, "server": "erp", "step": 7, "tool": "data_find_entities"}
+{"args": {"action": "ContosoJournalPropose", "parameters": {"description": "Feb 2026 accrual - CloudScale Analytics subscription (12-28 Feb, 17 days @ 1,800,000/365)", "lines": [{"account_code": "600200", "debit": 83835.62, "description": "CloudScale subscription accrual Feb 2026", "dimension_dept": "IT"}, {"account_code": "210100", "credit": 83835.62, "description": "Accrued liability - CloudScale"}], "posting_date": "2026-02-28", "voucher_type": "Journal Entry"}}, "ok": true, "server": "erp", "step": 8, "tool": "api_invoke_action"}
+{"args": {"answers": {"accrual_amount": 83835.62, "journal_id": "GJ-00001", "journal_state": "draft", "next_step": "Pending Controller approval - approval request APR-00001 was raised because the journal exceeds the 25,000.00 staff-accountant delegation-of-authority threshold (policy DOA-JE-01). The Controller must approve it before it can be posted; it is not booked yet.", "service_days": 17}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-080-friday-run-mar06.jsonl b/trajectories/lgr100-080-friday-run-mar06.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..975b383493a1db28db98899a27c7cc7a1ef15861
--- /dev/null
+++ b/trajectories/lgr100-080-friday-run-mar06.jsonl
@@ -0,0 +1,7 @@
+{"args": {"query": "payment run"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "sop--payment-run"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT t.invoice, t.account, v.name, v.on_hold, t.due_date, t.cash_disc_code, ROUND(t.amount - t.settled, 2) AS open FROM erp_vend_trans t JOIN erp_vendors v ON v.account = t.account WHERE t.txn_type='Invoice' AND t.closed=0 AND t.invoice LIKE 'PPINV-%'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"query": "cash discount"}, "ok": true, "server": "erp", "step": 3, "tool": "api_find_actions"}
+{"args": {"action": "ContosoCashDiscountForecast", "parameters": {"as_of": "2026-03-06"}}, "ok": true, "server": "erp", "step": 4, "tool": "api_invoke_action"}
+{"args": {"entity": "Vendors", "filters": {"account": "SYNVEN-0044"}}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities"}
+{"args": {"answers": {"discount_captured": 437.11, "excluded_invoice": "PPINV-104", "exclusion_reason": "vendor SYNVEN-0044 is on payment hold", "net_payment_total": 36418.39, "proposal_invoices": "PPINV-101, PPINV-102, PPINV-103"}}, "ok": true, "server": "harness", "step": 6, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-081-friday-run-mar06-esc-burie-quiet.jsonl b/trajectories/lgr100-081-friday-run-mar06-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..975b383493a1db28db98899a27c7cc7a1ef15861
--- /dev/null
+++ b/trajectories/lgr100-081-friday-run-mar06-esc-burie-quiet.jsonl
@@ -0,0 +1,7 @@
+{"args": {"query": "payment run"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "sop--payment-run"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"sql": "SELECT t.invoice, t.account, v.name, v.on_hold, t.due_date, t.cash_disc_code, ROUND(t.amount - t.settled, 2) AS open FROM erp_vend_trans t JOIN erp_vendors v ON v.account = t.account WHERE t.txn_type='Invoice' AND t.closed=0 AND t.invoice LIKE 'PPINV-%'"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities_sql"}
+{"args": {"query": "cash discount"}, "ok": true, "server": "erp", "step": 3, "tool": "api_find_actions"}
+{"args": {"action": "ContosoCashDiscountForecast", "parameters": {"as_of": "2026-03-06"}}, "ok": true, "server": "erp", "step": 4, "tool": "api_invoke_action"}
+{"args": {"entity": "Vendors", "filters": {"account": "SYNVEN-0044"}}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities"}
+{"args": {"answers": {"discount_captured": 437.11, "excluded_invoice": "PPINV-104", "exclusion_reason": "vendor SYNVEN-0044 is on payment hold", "net_payment_total": 36418.39, "proposal_invoices": "PPINV-101, PPINV-102, PPINV-103"}}, "ok": true, "server": "harness", "step": 6, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-082-shortfall-mar06.jsonl b/trajectories/lgr100-082-shortfall-mar06.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..176903dfe95cfb6220931d81664ebb45d0b209f0
--- /dev/null
+++ b/trajectories/lgr100-082-shortfall-mar06.jsonl
@@ -0,0 +1,11 @@
+{"args": {"query": "payment run"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "payment-run-sop"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"q": "PINV"}, "ok": true, "server": "email", "step": 2, "tool": "messages_list"}
+{"args": {"id": "em-0601"}, "ok": true, "server": "email", "step": 3, "tool": "messages_get"}
+{"args": {"query": "payment"}, "ok": true, "server": "erp", "step": 4, "tool": "api_find_actions"}
+{"args": {"entity": "Vendors", "filters": {"vendor_group": "PAYRUN"}}, "ok": true, "server": "erp", "step": 5, "tool": "data_find_entities"}
+{"args": {"entity": "CashDiscounts", "filters": {"code": "2%10N30"}}, "ok": true, "server": "erp", "step": 6, "tool": "data_find_entities"}
+{"args": {"action": "ContosoPaymentRunPropose", "parameters": {"bank_account": "USMF-OPER", "pay_date": "2026-03-06", "vendor_group": "PAYRUN"}}, "ok": true, "server": "erp", "step": 7, "tool": "api_invoke_action"}
+{"args": {"action": "ContosoPaymentRunCommit", "parameters": {"confirm_token": "CONF-PR-00001-1", "paid": ["PINV-101", "PINV-105", "PINV-106"], "rejected": [{"invoice": "PINV-103", "reason": "Litware Facility Services is on credit hold; SOP-AP-04 s1 excludes held vendors outright", "reason_code": "vendor_on_hold"}, {"invoice": "PINV-104", "reason": "Open dispute raised by Marketing Ops 2026-03-03 (misprinted panels, credit requested); excluded until resolved", "reason_code": "disputed"}, {"invoice": "PINV-102", "reason": "Deferred to the 2026-03-13 run; cash exhausted after discount capture and the oldest past-due item", "reason_code": "insufficient_cash"}, {"invoice": "PINV-107", "reason": "Deferred to the 2026-03-13 run; net terms, no discount at risk", "reason_code": "insufficient_cash"}], "run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 8, "tool": "api_invoke_action"}
+{"args": {"entity": "PaymentRunLines", "filters": {"run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 9, "tool": "data_find_entities"}
+{"args": {"answers": {"paid_invoices": "PINV-101, PINV-105, PINV-106", "run_id": "PR-00001", "shortfall": 117800.0, "total_paid": 187800.0, "unpaid_invoices": "PINV-102, PINV-103, PINV-104, PINV-107"}}, "ok": true, "server": "harness", "step": 10, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-083-withholding-mar13.jsonl b/trajectories/lgr100-083-withholding-mar13.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4fee8e0b507e9dda43c307702d37b3a9110758d9
--- /dev/null
+++ b/trajectories/lgr100-083-withholding-mar13.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "withholding"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "withholding-policy"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"entity": "WithholdingTax"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT p.account, v.name, p.tax_category, p.certificate_type, p.certificate_on_file, p.certificate_expiry FROM erp_vendor_tax_profile p JOIN erp_vendors v ON v.account=p.account WHERE v.vendor_group='CONTRACT' ORDER BY p.account"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"q": "W-8"}, "ok": true, "server": "email", "step": 4, "tool": "messages_list"}
+{"args": {"id": "em-0902"}, "ok": true, "server": "email", "step": 5, "tool": "messages_get"}
+{"args": {"action": "ContosoPaymentRunPropose", "parameters": {"bank_account": "USMF-OPER", "pay_date": "2026-03-13", "vendor_group": "CONTRACT"}}, "ok": true, "server": "erp", "step": 6, "tool": "api_invoke_action"}
+{"args": {"action": "ContosoPaymentRunCommit", "parameters": {"confirm_token": "CONF-PR-00001-1", "paid": ["WINV-801", "WINV-802", "WINV-803", "WINV-804"], "rejected": [], "run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 7, "tool": "api_invoke_action"}
+{"args": {"entity": "PaymentRunLines", "filters": {"run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 8, "tool": "data_find_entities"}
+{"args": {"answers": {"meridian_rate_pct": 30, "run_id": "PR-00001", "total_gross": 140000.0, "total_paid": 117800.0, "total_withheld": 22200.0, "withheld_vendors": "WVEN-02, WVEN-03, WVEN-04"}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-084-withholding-mar13-esc-burie-quiet.jsonl b/trajectories/lgr100-084-withholding-mar13-esc-burie-quiet.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4fee8e0b507e9dda43c307702d37b3a9110758d9
--- /dev/null
+++ b/trajectories/lgr100-084-withholding-mar13-esc-burie-quiet.jsonl
@@ -0,0 +1,10 @@
+{"args": {"query": "withholding"}, "ok": true, "server": "docs", "step": 0, "tool": "search_documents"}
+{"args": {"doc_id": "withholding-policy"}, "ok": true, "server": "docs", "step": 1, "tool": "get_document"}
+{"args": {"entity": "WithholdingTax"}, "ok": true, "server": "erp", "step": 2, "tool": "data_find_entities"}
+{"args": {"sql": "SELECT p.account, v.name, p.tax_category, p.certificate_type, p.certificate_on_file, p.certificate_expiry FROM erp_vendor_tax_profile p JOIN erp_vendors v ON v.account=p.account WHERE v.vendor_group='CONTRACT' ORDER BY p.account"}, "ok": true, "server": "erp", "step": 3, "tool": "data_find_entities_sql"}
+{"args": {"q": "W-8"}, "ok": true, "server": "email", "step": 4, "tool": "messages_list"}
+{"args": {"id": "em-0902"}, "ok": true, "server": "email", "step": 5, "tool": "messages_get"}
+{"args": {"action": "ContosoPaymentRunPropose", "parameters": {"bank_account": "USMF-OPER", "pay_date": "2026-03-13", "vendor_group": "CONTRACT"}}, "ok": true, "server": "erp", "step": 6, "tool": "api_invoke_action"}
+{"args": {"action": "ContosoPaymentRunCommit", "parameters": {"confirm_token": "CONF-PR-00001-1", "paid": ["WINV-801", "WINV-802", "WINV-803", "WINV-804"], "rejected": [], "run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 7, "tool": "api_invoke_action"}
+{"args": {"entity": "PaymentRunLines", "filters": {"run_id": "PR-00001"}}, "ok": true, "server": "erp", "step": 8, "tool": "data_find_entities"}
+{"args": {"answers": {"meridian_rate_pct": 30, "run_id": "PR-00001", "total_gross": 140000.0, "total_paid": 117800.0, "total_withheld": 22200.0, "withheld_vendors": "WVEN-02, WVEN-03, WVEN-04"}}, "ok": true, "server": "harness", "step": 9, "tool": "submit_answer"}
diff --git a/trajectories/lgr100-085-approval-evidence-q1.jsonl b/trajectories/lgr100-085-approval-evidence-q1.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6d87a1887c8715bb52f55180a220ab7ff906f461
--- /dev/null
+++ b/trajectories/lgr100-085-approval-evidence-q1.jsonl
@@ -0,0 +1,6 @@
+{"args": {"sql": "SELECT invoice, account, description, trans_date, amount FROM erp_vend_trans WHERE invoice IN ('PBINV-201','PBINV-202')"}, "ok": true, "server": "erp", "step": 0, "tool": "data_find_entities_sql"}
+{"args": {"q": "PBINV-201"}, "ok": true, "server": "email", "step": 1, "tool": "messages_list"}
+{"args": {"id": "em-0402"}, "ok": true, "server": "email", "step": 2, "tool": "threads_get"}
+{"args": {"q": "PBINV-202"}, "ok": true, "server": "email", "step": 3, "tool": "messages_list"}
+{"args": {"query": "PBINV-202 approval"}, "ok": true, "server": "docs", "step": 4, "tool": "search_documents"}
+{"args": {"answers": {"inv201_approval_date": "2026-01-18", "inv201_approver": "Priya Shah", "inv201_evidence_location": "shared mailbox thread (approval reply from AP Manager)", "inv202_approver": "none", "inv202_finding": "No approval evidence located in the ERP, mailbox, or document library — control exception to report"}}, "ok": true, "server": "harness", "step": 5, "tool": "submit_answer"}