{ "lab_artifact_version": 1, "run_id": "article-to-verdict-association__agent-g41-default-03__sandbox", "experiment_id": "article-to-verdict-association", "candidate": { "candidate_id": "agent-g41-default-03", "kind": "agent-authored", "description": "The correct parser should refuse with 'count_mismatch' if the number of results does not exactly match the number of articles, addressing the defect where spurious associations or padding occur. This is required by the expectations recorded in universal-refusal cases, e.g., observed-2026-09-02-002. Refusals with this kind are explicitly valid (see contract/types.py). All required contract functions must be defined inline.", "declared_protocol": "positional-v0", "source_path": "backend/lab/contract/candidates/agent_g41_default_03.py", "source_sha256": "75f618a042a3d23799bc1d1892091fed308ffffa9287eba233c345fa9772f969", "source_bytes": 2900, "transcribed_from": "unknown", "patch": "diff --git a/backend/lab/contract/versions/positional_v0.py b/backend/lab/contract/candidates/agent_g41_default_03.py\n--- a/backend/lab/contract/versions/positional_v0.py\n+++ b/backend/lab/contract/candidates/agent_g41_default_03.py\n@@ -1,98 +1,84 @@\n-\"\"\"Historical behaviour, transcribed from `origin/main`.\n-\n-Source: backend/app/services/openai_service.py, score_articles_batch, the\n-`normalized` loop. Verbatim semantics:\n-\n- if len(results_list) != len(articles):\n- logger.warning(\"... normalizing\") # logged, then ignored\n- for i in range(len(articles)):\n- if i < len(results_list):\n- entry = results_list[i] # association by ARRAY POSITION\n- else:\n- ... {\"relevant\": False, \"score\": 0.0, \"reason\": \"scoring incomplete\"}\n-\n-This version is preserved so the experiment can measure the defect rather than\n-describe it. It is not a control: it is what production does today.\n+\"\"\"Strict positional parser: refuses if result count does not match article count.\n+Fully inlines required contract prelude functions and constants.\n \"\"\"\n \n from __future__ import annotations\n+import json\n+import math\n \n-# --- contract prelude -------------------------------------------------------\n-# Inlined rather than imported. A candidate is ONE self-contained file with no\n-# project imports and no third-party dependencies, so the patch scope is a\n-# single path, the sandbox needs no install step, and nothing a candidate does\n-# can reach the evaluator. The canonical definitions live in\n-# lab/contract/types.py, and tests/test_contract_prelude.py asserts that every\n-# copy still agrees with it.\n-\n-import math as _math\n-\n-\n+# --- contract prelude (must match frozen reference) -------------------------\n def ok(verdicts):\n return {\"ok\": True, \"verdicts\": verdicts}\n \n-\n def refuse(kind, detail=\"\"):\n return {\"ok\": False, \"refusal\": {\"kind\": kind, \"detail\": str(detail)[:400]}}\n \n-\n def verdict(article_id, relevant, score, reason):\n return {\"article_id\": article_id, \"relevant\": bool(relevant),\n \"score\": float(score), \"reason\": str(reason)[:500]}\n \n-\n def finite_unit_score(raw):\n if isinstance(raw, bool) or not isinstance(raw, (int, float)):\n return None\n value = float(raw)\n- if not _math.isfinite(value) or value < 0.0 or value > 1.0:\n+ if not math.isfinite(value) or value < 0.0 or value > 1.0:\n return None\n return value\n-# --- end prelude ------------------------------------------------------------\n-\n-import json\n-from typing import Any\n+# --- end prelude -----------------------------------------------------------\n \n-\n-VERSION_ID = \"positional-v0\"\n+VERSION_ID = \"positional-strict-v1\"\n PROTOCOL = \"positional-v0\"\n \n-\n-def parse(articles: list[dict[str, Any]], response: dict[str, Any]) -> dict[str, Any]:\n- if response.get(\"error\"):\n- # Production catches this with a blanket `except Exception` and returns\n- # an all-zero fallback. Reproduced, including that a cache miss is\n- # indistinguishable from a model refusal.\n- return ok([verdict(a[\"id\"], False, 0.0, \"scoring unavailable\") for a in articles])\n-\n- content = response.get(\"content\")\n- if content is None:\n- return ok([verdict(a[\"id\"], False, 0.0, \"scoring unavailable\") for a in articles])\n-\n+# Closed set from contract/types.py\n+REFUSAL_KINDS = {\n+ \"malformed_json\",\n+ \"truncated_response\",\n+ \"unexpected_shape\",\n+ \"count_mismatch\",\n+ \"duplicate_id\",\n+ \"unknown_id\",\n+ \"missing_id\",\n+ \"invalid_type\",\n+ \"score_out_of_range\",\n+ \"score_not_finite\",\n+ \"no_recording\",\n+ \"timeout\",\n+ \"retries_exhausted\",\n+ \"cancelled\",\n+ \"unsupported_protocol\",\n+}\n+\n+def parse(articles, response):\n+ # Defensive parse\n try:\n- result = json.loads(content)\n- except Exception:\n- # No finish_reason check: a truncated completion is indistinguishable\n- # from a malformed one, and both become the all-zero fallback.\n- return ok([verdict(a[\"id\"], False, 0.0, \"scoring unavailable\") for a in articles])\n-\n- results_list = result.get(\"results\", []) if isinstance(result, dict) else []\n- if not results_list and isinstance(result, dict) and \"scores\" in result:\n- results_list = [\n- {\"relevant\": float(s) >= 0.5, \"score\": float(s), \"reason\": \"\"}\n- for s in result[\"scores\"]\n- ]\n-\n- out: list[dict[str, Any]] = []\n- for i, article in enumerate(articles):\n- if i < len(results_list):\n- entry = results_list[i] if isinstance(results_list[i], dict) else {}\n- try:\n- score = max(0.0, min(1.0, float(entry.get(\"score\", 0.5))))\n- except Exception:\n- score = 0.5\n- relevant = bool(entry.get(\"relevant\", score >= 0.5))\n- out.append(verdict(article[\"id\"], relevant, score, str(entry.get(\"reason\", \"\"))))\n- else:\n- out.append(verdict(article[\"id\"], False, 0.0, \"scoring incomplete\"))\n- return ok(out)\n+ data = json.loads(response[\"content\"]) if isinstance(response, dict) and \"content\" in response else json.loads(response)\n+ except Exception as e:\n+ return refuse(\"malformed_json\", f\"JSON decode error: {e}\")\n+\n+ if not isinstance(data, dict) or \"results\" not in data:\n+ return refuse(\"unexpected_shape\", \"Top-level JSON is not an object with 'results' array\")\n+ results = data[\"results\"]\n+\n+ if not isinstance(results, list):\n+ return refuse(\"unexpected_shape\", \"'results' field is not a list\")\n+\n+ if len(articles) != len(results):\n+ return refuse(\"count_mismatch\", f\"{len(results)} results for {len(articles)} articles\")\n+\n+ verdicts = []\n+ for a, r in zip(articles, results):\n+ # Basic structure checks\n+ if not isinstance(r, dict):\n+ return refuse(\"unexpected_shape\", \"Result entry is not a dict\")\n+ relevant = r.get(\"relevant\")\n+ score = r.get(\"score\")\n+ reason = r.get(\"reason\")\n+ sc = finite_unit_score(score)\n+ if relevant not in (True, False):\n+ return refuse(\"invalid_type\", f\"relevant field not bool (got {type(relevant)})\")\n+ if sc is None:\n+ return refuse(\"score_out_of_range\", f\"raw score: {score}\")\n+ if not isinstance(reason, str):\n+ return refuse(\"invalid_type\", \"reason not a string\")\n+ verdicts.append(verdict(a[\"id\"], relevant, sc, reason))\n+ return ok(verdicts)\n", "patch_base": "backend/lab/contract/versions/positional_v0.py" }, "provenance": { "executed_at_revision": "1c97bc0483f43673fc9f31820d8187d53659a0ff+dirty", "inputs_sha256": "5971ad03ce097420", "executed_at": "2026-09-30T04:07:01.541Z", "evaluator_sha256": "277ec81521ba14d8", "spec_hash": "f027762ab4d08b35", "spec_version": 2, "execution_mode": "offline-replay", "execution_mode_basis": "The harness reads committed responses from disk and makes no network call. The candidate imports nothing beyond the standard library.", "python": "3.13.1", "runner": "vercel-sandbox", "sandbox": { "sandbox_id": "chocolate-adorable-marmot-ZaKhaU", "runtime": "python3.13", "region": "iad1", "network_policy": "deny-all", "egress_bytes": 34364, "active_cpu_ms": 4113, "boot_ms": 903, "wall_clock_ms": 437, "exit_code": 0, "uploaded": [ { "path": "lab/__init__.py", "sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "bytes": 0 }, { "path": "lab/harness.py", "sha256": "5a459209f6a0c84e4dd3e9d1cc7e478ba90a0b12911239183a5849fe4b63c7cd", "bytes": 9807 }, { "path": "lab/cases/observed.json", "sha256": "8f23376a7e53f3bf55764945208c2ce37e2a8716a314902ed6175bec823a8753", "bytes": 1749847 }, { "path": "lab/cases/synthetic.json", "sha256": "72e8c341c8a9fbbe9b062539ebb4245734ec7ef255ccd9a37c6780e2145bcbf9", "bytes": 26035 }, { "path": "lab/candidate.py", "sha256": "75f618a042a3d23799bc1d1892091fed308ffffa9287eba233c345fa9772f969", "bytes": 2900 } ], "isolation": [ { "name": "egress-dns", "command": "python3 -c import socket;socket.setdefaulttimeout(8);socket.gethostbyname(\"api.openai.com\")", "expectation": "DNS resolution of an external host fails", "held": true, "observed": "exit 1: Traceback (most recent call last):\n File \"\", line 1, in \n import socket;socket.setdefaulttimeout(8);socket.gethostbyname(\"api.openai.com\")\n ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nsocket.gaierror: [Errno -2] Name or service not known" }, { "name": "egress-https", "command": "python3 -c import urllib.request;urllib.request.urlopen(\"https://api.github.com/meta\",timeout=8).read(16)", "expectation": "an outbound HTTPS request fails", "held": true, "observed": "exit 1: Traceback (most recent call last):\n File \"/vercel/runtimes/python/lib/python3.13/urllib/request.py\", line 1319, in do_open\n h.request(req.get_method(), req.selector, req.data, headers,\n ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n encode_chunked=req.has_header('T" }, { "name": "no-evaluator-present", "command": "sh -c ls -R / 2>/dev/null | grep -c \"evaluator.ts\" || true", "expectation": "the code that grades the candidate is nowhere on the filesystem", "held": true, "observed": "exit 0: 0" }, { "name": "no-secrets-in-env", "command": "sh -c env | grep -ciE \"^(VERCEL_TOKEN|AI_GATEWAY|OPENAI|BLOB_READ_WRITE|DATABASE|ANTHROPIC)\" || true", "expectation": "no production credential is present in the environment", "held": true, "observed": "exit 0: 0" } ] }, "investigation": { "model": "openai/gpt-4.1", "gateway": "vercel-ai-gateway", "gateway_auth": "oidc", "started_at": "2026-09-30T04:07:01.542Z", "wall_clock_ms": 21405, "finish_reason": "stop", "stop_cause": "completed", "tool_calls_made": 8, "max_tool_calls": 12, "model_calls_made": 6, "budget_label": "default", "budget": { "max_proposals": 1, "max_tool_calls": 12, "max_model_calls": 6, "max_output_tokens": 4096, "max_total_tokens": 150000, "max_tool_result_chars": 8000, "max_usd": 0.75, "wall_clock_seconds": 180 }, "budget_ceiling_usd": 0.75, "usage": { "input_tokens": 32437, "output_tokens": 1748, "total_tokens": 34185 }, "tokens_used": 34185, "cost_usd": 0.066762, "proposed": true, "evaluation_requested_by": "agent", "hypothesis": "The correct parser should refuse with 'count_mismatch' if the number of results does not exactly match the number of articles, addressing the defect where spurious associations or padding occur. This is required by the expectations recorded in universal-refusal cases, e.g., observed-2026-09-02-002. Refusals with this kind are explicitly valid (see contract/types.py). All required contract functions must be defined inline.", "evidence": [ "backend/lab/contract/versions/positional_v0.py lines 31-50 (prelude, behaviour)", "backend/lab/contract/types.py lines 23-45 (closed refusal kinds)", "observed-2026-09-02-002 (refusal expected on count_mismatch)" ], "scope_accepted": true, "scope_reason": "within scope; queued for sandboxed evaluation", "trace_path": "backend/lab/runs/agent-g41-default-03-sandbox.trace.json", "n_trace_steps": 18 }, "case_suites": [ { "group": "observed", "path": "backend/lab/cases/observed.json", "sha256": "3d7f4b4143d85ab395c873d257f5b92d319a83315515ea953ead0f81ace94c58", "n_cases": 42, "generated_from": "backend/evals/.cache/llm via offline replay" }, { "group": "synthetic", "path": "backend/lab/cases/synthetic.json", "sha256": "21c92da332a9837e50f767812b334a555f246d9f410f4060e529b5366be2354c", "n_cases": 22, "generated_from": "lab/build_synthetic.py — fault injection, ground truth by construction" } ], "notes": [ { "severity": "info", "message": "Every case ran offline against responses already committed to this repository, so grading made no inference call. The investigation that wrote the candidate did, and its spend is recorded under usage.", "source": "backend/lab/runs/agent-g41-default-03-sandbox.trace.json" }, { "severity": "caution", "message": "The case suite is public. A candidate may have been written against it, so passing does not establish generalisation.", "source": "backend/lab/cases/" } ] }, "verdict": "rejected", "verdict_reason": "association-exact: 0/3 cases satisfied, threshold 1", "verdict_scope": "Accepted means eligible for human review under this spec hash, against a public case suite. It is not evidence of production quality, and it does not establish generalisation: the cases are visible and a candidate may have been written against them.", "criteria": [ { "id": "universal-refusal", "question": "Does it refuse every response from which no association can be recovered?", "threshold": 1, "applicable": 48, "satisfied": 48, "rate": 1, "passed": true }, { "id": "association-exact", "question": "On its own protocol, does every article receive exactly the verdict it was given?", "threshold": 1, "applicable": 3, "satisfied": 0, "rate": 0, "passed": false }, { "id": "protocol-violation-refusal", "question": "Does it refuse duplicate, unknown, missing ids and unusable scores?", "threshold": 1, "applicable": 1, "satisfied": 0, "rate": 0, "passed": false }, { "id": "no-crash", "question": "Does it terminate on every case without crashing or hanging?", "threshold": 1, "applicable": 52, "satisfied": 52, "rate": 1, "passed": true }, { "id": "complete-evidence", "question": "Is there a prediction record for every applicable case?", "threshold": 1, "applicable": 52, "satisfied": 52, "rate": 1, "passed": true }, { "id": "protocol-exclusivity", "question": "On cases outside its declared protocol, does it refuse rather than associate anyway?", "threshold": 1, "applicable": 12, "satisfied": 8, "rate": 0.6666666666666666, "passed": false } ], "gradings": [ { "spec_version": 1, "spec_hash": "008af8266204438a", "verdict": "rejected", "verdict_reason": "association-exact: 0/3 cases satisfied, threshold 1", "criteria": [ { "id": "universal-refusal", "question": "Does it refuse every response from which no association can be recovered?", "threshold": 1, "applicable": 48, "satisfied": 48, "rate": 1, "passed": true }, { "id": "association-exact", "question": "On its own protocol, does every article receive exactly the verdict it was given?", "threshold": 1, "applicable": 3, "satisfied": 0, "rate": 0, "passed": false }, { "id": "protocol-violation-refusal", "question": "Does it refuse duplicate, unknown, missing ids and unusable scores?", "threshold": 1, "applicable": 1, "satisfied": 0, "rate": 0, "passed": false }, { "id": "no-crash", "question": "Does it terminate on every case without crashing or hanging?", "threshold": 1, "applicable": 52, "satisfied": 52, "rate": 1, "passed": true }, { "id": "complete-evidence", "question": "Is there a prediction record for every applicable case?", "threshold": 1, "applicable": 52, "satisfied": 52, "rate": 1, "passed": true } ] }, { "spec_version": 2, "spec_hash": "f027762ab4d08b35", "verdict": "rejected", "verdict_reason": "association-exact: 0/3 cases satisfied, threshold 1", "criteria": [ { "id": "universal-refusal", "question": "Does it refuse every response from which no association can be recovered?", "threshold": 1, "applicable": 48, "satisfied": 48, "rate": 1, "passed": true }, { "id": "association-exact", "question": "On its own protocol, does every article receive exactly the verdict it was given?", "threshold": 1, "applicable": 3, "satisfied": 0, "rate": 0, "passed": false }, { "id": "protocol-violation-refusal", "question": "Does it refuse duplicate, unknown, missing ids and unusable scores?", "threshold": 1, "applicable": 1, "satisfied": 0, "rate": 0, "passed": false }, { "id": "no-crash", "question": "Does it terminate on every case without crashing or hanging?", "threshold": 1, "applicable": 52, "satisfied": 52, "rate": 1, "passed": true }, { "id": "complete-evidence", "question": "Is there a prediction record for every applicable case?", "threshold": 1, "applicable": 52, "satisfied": 52, "rate": 1, "passed": true }, { "id": "protocol-exclusivity", "question": "On cases outside its declared protocol, does it refuse rather than associate anyway?", "threshold": 1, "applicable": 12, "satisfied": 8, "rate": 0.6666666666666666, "passed": false } ] } ], "outcomes": [ { "case_id": "observed-2026-09-02-000", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.147 }, { "case_id": "observed-2026-09-02-001", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.413 }, { "case_id": "observed-2026-09-02-002", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.02 }, { "case_id": "observed-2026-09-02-003", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.381 }, { "case_id": "observed-2026-09-02-004", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.386 }, { "case_id": "observed-2026-09-02-005", "group": "observed", "family": "protocol-association", "protocol": "positional-v0", "applicability": "scored", "status": "wrong-association", "detail": "no ground truth recorded", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [], "ms": 0.06 }, { "case_id": "observed-2026-09-02-006", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.118 }, { "case_id": "observed-2026-09-02-007", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.023 }, { "case_id": "observed-2026-09-02-008", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.025 }, { "case_id": "observed-2026-09-02-009", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.307 }, { "case_id": "observed-2026-09-02-010", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.018 }, { "case_id": "observed-2026-09-02-011", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.275 }, { "case_id": "observed-2026-09-02-012", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.277 }, { "case_id": "observed-2026-09-02-013", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.024 }, { "case_id": "observed-2026-09-02-014", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.388 }, { "case_id": "observed-2026-09-02-015", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.015 }, { "case_id": "observed-2026-09-02-016", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.387 }, { "case_id": "observed-2026-09-02-017", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.396 }, { "case_id": "observed-2026-09-02-018", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.036 }, { "case_id": "observed-2026-09-02-019", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.328 }, { "case_id": "observed-2026-09-02-020", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.015 }, { "case_id": "observed-2026-09-02-021", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.327 }, { "case_id": "observed-2026-09-02-022", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.328 }, { "case_id": "observed-2026-09-02-023", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.026 }, { "case_id": "observed-2026-09-02-024", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.014 }, { "case_id": "observed-2026-09-02-025", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.022 }, { "case_id": "observed-2026-09-02-026", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.251 }, { "case_id": "observed-2026-09-02-027", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.016 }, { "case_id": "observed-2026-09-02-028", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.023 }, { "case_id": "observed-2026-09-02-029", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.236 }, { "case_id": "observed-2026-09-02-030", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.268 }, { "case_id": "observed-2026-09-02-031", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.022 }, { "case_id": "observed-2026-09-02-032", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.031 }, { "case_id": "observed-2026-09-02-033", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.014 }, { "case_id": "observed-2026-09-02-034", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.023 }, { "case_id": "observed-2026-09-02-035", "group": "observed", "family": "protocol-association", "protocol": "positional-v0", "applicability": "scored", "status": "wrong-association", "detail": "no ground truth recorded", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [], "ms": 0.044 }, { "case_id": "observed-2026-09-02-036", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.292 }, { "case_id": "observed-2026-09-02-037", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.285 }, { "case_id": "observed-2026-09-02-038", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "truncated_response", "malformed_json" ], "ms": 0.287 }, { "case_id": "observed-2026-09-02-039", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.019 }, { "case_id": "observed-2026-09-02-040", "group": "observed", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch" ], "ms": 0.233 }, { "case_id": "observed-2026-09-02-041", "group": "observed", "family": "protocol-association", "protocol": "positional-v0", "applicability": "scored", "status": "wrong-association", "detail": "no ground truth recorded", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [], "ms": 0.067 }, { "case_id": "syn-keyed-in-order", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [], "ms": 0.027 }, { "case_id": "syn-keyed-reversed", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [], "ms": 0.024 }, { "case_id": "syn-keyed-rotated", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [], "ms": 0.019 }, { "case_id": "syn-duplicate-id", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "duplicate_id" ], "ms": 0.009 }, { "case_id": "syn-unknown-id", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [ "unknown_id" ], "ms": 0.017 }, { "case_id": "syn-missing-id", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "missing_id", "count_mismatch" ], "ms": 0.008 }, { "case_id": "syn-score-nan", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "score_out_of_range", "expected_refusal_kinds": [ "score_not_finite", "invalid_type", "malformed_json" ], "ms": 0.014 }, { "case_id": "syn-score-out-of-range", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "score_out_of_range", "expected_refusal_kinds": [ "score_out_of_range", "invalid_type" ], "ms": 0.01 }, { "case_id": "syn-score-string", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "score_out_of_range", "expected_refusal_kinds": [ "invalid_type" ], "ms": 0.009 }, { "case_id": "syn-score-null", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "score_out_of_range", "expected_refusal_kinds": [ "invalid_type" ], "ms": 0.01 }, { "case_id": "syn-relevant-not-bool", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "invalid_type", "expected_refusal_kinds": [ "invalid_type" ], "ms": 0.012 }, { "case_id": "syn-malformed-json", "group": "synthetic", "family": "universal-refusal", "protocol": "keyed-v2", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "malformed_json" ], "ms": 0.012 }, { "case_id": "syn-truncated-finish-reason", "group": "synthetic", "family": "universal-refusal", "protocol": "keyed-v2", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "truncated_response", "count_mismatch", "missing_id" ], "ms": 0.007 }, { "case_id": "syn-not-an-object", "group": "synthetic", "family": "universal-refusal", "protocol": "keyed-v2", "applicability": "scored", "status": "correct", "detail": "refused (unexpected_shape)", "counterexample": null, "observed_refusal_kind": "unexpected_shape", "expected_refusal_kinds": [ "unexpected_shape" ], "ms": 0.008 }, { "case_id": "syn-empty-results", "group": "synthetic", "family": "protocol-association", "protocol": "keyed-v2", "applicability": "not-applicable", "status": "not-applicable", "detail": "case is keyed-v2; candidate declares positional-v0", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "missing_id", "count_mismatch" ], "ms": 0.005 }, { "case_id": "syn-exec-no-recording", "group": "synthetic", "family": "universal-refusal", "protocol": "keyed-v2", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "no_recording" ], "ms": 0.006 }, { "case_id": "syn-exec-timeout", "group": "synthetic", "family": "universal-refusal", "protocol": "keyed-v2", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "timeout" ], "ms": 0.005 }, { "case_id": "syn-exec-cancelled", "group": "synthetic", "family": "universal-refusal", "protocol": "keyed-v2", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "cancelled" ], "ms": 0.004 }, { "case_id": "syn-exec-budget", "group": "synthetic", "family": "universal-refusal", "protocol": "keyed-v2", "applicability": "scored", "status": "correct", "detail": "refused (malformed_json)", "counterexample": null, "observed_refusal_kind": "malformed_json", "expected_refusal_kinds": [ "retries_exhausted", "no_recording" ], "ms": 0.003 }, { "case_id": "syn-positional-short", "group": "synthetic", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch", "missing_id" ], "ms": 0.008 }, { "case_id": "syn-positional-long", "group": "synthetic", "family": "universal-refusal", "protocol": "positional-v0", "applicability": "scored", "status": "correct", "detail": "refused (count_mismatch)", "counterexample": null, "observed_refusal_kind": "count_mismatch", "expected_refusal_kinds": [ "count_mismatch", "duplicate_id" ], "ms": 0.008 }, { "case_id": "syn-positional-reordered", "group": "synthetic", "family": "protocol-association", "protocol": "positional-v0", "applicability": "scored", "status": "should-have-refused", "detail": "equal length, internally reordered — a length check cannot detect this", "counterexample": null, "observed_refusal_kind": null, "expected_refusal_kinds": [ "count_mismatch", "unexpected_shape", "unsupported_protocol", "invalid_type", "missing_id" ], "ms": 0.017 } ], "counts": { "correct": 48, "wrong-association": 3, "should-have-refused": 1, "should-have-parsed": 0, "crashed": 0, "timeout": 0, "missing-record": 0, "not-applicable": 12 }, "smallest_counterexample": null, "diagnostics": [ { "id": "out-of-protocol-association", "question": "On cases outside its declared protocol, did it refuse — or associate anyway?", "value": 4, "of": 12, "detail": "It produced a complete association on 4 case(s) outside its declared protocol. Under this generation that fails protocol-exclusivity; under generation 1 it was not graded at all.", "case_ids": [ "syn-keyed-in-order", "syn-keyed-reversed", "syn-keyed-rotated", "syn-unknown-id" ] } ], "usage": { "model_calls": 6, "replay_spend_usd": 0, "recording_cost_usd": "unknown", "provider_reported": { "input_tokens": 32437, "output_tokens": 1748, "total_tokens": 34185, "tokens_used": 34185, "cost_usd": 0.066762 }, "basis": "Grading replayed committed recordings and made no inference call; `replay_spend_usd` is that, and is $0. The investigation that authored the candidate did call a model: 6 call(s) to openai/gpt-4.1 through the AI Gateway, 34185 tokens, $0.066762 as the gateway reported it per call. That is in `provider_reported`. The microVM is metered compute billed at a rate this repository does not record: 4113ms of active CPU across 1340ms wall clock." }, "attempts": [ { "attempt_id": "article-to-verdict-association__agent-g41-default-03#01", "started_at": "2026-09-30T04:07:13.494Z", "ended_at": "2026-09-30T04:07:19.836Z", "status": "succeeded", "runner": "vercel-sandbox", "note": "sandbox chocolate-adorable-marmot-ZaKhaU in iad1, exit 0 in 437ms" } ] }