{
 "accepted": 5,
 "completed": 5,
 "elapsed_s": 16.87,
 "missions": {
  "data_iris": {
   "acceptance": true,
   "analysis": {
    "columns": [
     "sepal_length",
     "sepal_width",
     "petal_length",
     "petal_width",
     "species"
    ],
    "difference_ci95_first_pair": [
     -1.102,
     -0.76
    ],
    "duplicate_rows": 1,
    "missing_cells": 0,
    "pairwise_welch": [
     {
      "a": "setosa",
      "b": "versicolor",
      "cohens_d": -2.1042,
      "df": 86.54,
      "p_approx": 0.0,
      "t": -10.521
     },
     {
      "a": "setosa",
      "b": "virginica",
      "cohens_d": -3.0772,
      "df": 76.52,
      "p_approx": 0.0,
      "t": -15.3862
     },
     {
      "a": "versicolor",
      "b": "virginica",
      "cohens_d": -1.1258,
      "df": 94.03,
      "p_approx": 0.0,
      "t": -5.6292
     }
    ],
    "rows": 150,
    "sepal_length_means": {
     "setosa": 5.006,
     "versicolor": 5.936,
     "virginica": 6.588
    },
    "species_counts": {
     "setosa": 50,
     "versicolor": 50,
     "virginica": 50
    }
   },
   "challenges": [
    "pairwise tests are not corrected for multiple comparisons; Bonferroni threshold = 0.0167",
    "Welch's t-test assumes approximate normality; n=50 per species and no outlier screening",
    "p-values use a normal approximation; labelled p_approx, not exact",
    "correlation is not causation; species labels are not an experimental treatment"
   ],
   "conclusion": "Sepal length differs strongly between setosa and the other two species in this dataset; the other comparisons are smaller and must be read with the correction and assumptions stated above.",
   "execution_class": "REAL_EXTERNAL_SOURCE",
   "license_note": "seaborn-data repository (BSD-3-Clause); Iris is a public UCI dataset",
   "limitations": "One small classic dataset; not a general biological claim.",
   "mission": "data_iris",
   "sha256": "9cc1c345c71bcc9b486b74cbf6063fa66f4bb5e0f603a4b3c3471ec2e5e8e355",
   "source": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv",
   "validation": {
    "columns": [
     "sepal_length",
     "sepal_width",
     "petal_length",
     "petal_width",
     "species"
    ],
    "columns_ok": true,
    "duplicate_rows": 1,
    "missing_cells": 0,
    "rows": 150
   },
   "worker_recompute": {
    "rows": 150,
    "sepal_length": {
     "count": 150,
     "max": 7.9,
     "mean": 5.843333,
     "min": 4.3
    }
   }
  },
  "infra_reliability": {
   "acceptance": true,
   "diagnosis": "process termination detected by pid absence; replacement liveness confirms recovery path",
   "execution_class": "REAL_LOCAL_HOST",
   "findings": [
    {
     "line": 1,
     "match": "alive_after_kill",
     "pattern": "alive_after_kill"
    },
    {
     "line": 1,
     "match": "replacement_alive",
     "pattern": "replacement_alive"
    },
    {
     "line": 1,
     "match": "BLOCKED",
     "pattern": "BLOCKED"
    }
   ],
   "limitations": "Only an isolated child process was killed. This is not a host reboot, not a coordinator failure, and not a production incident.",
   "mission": "infra_reliability",
   "status": {
    "alive_after_kill": false,
    "alive_before_kill": true,
    "cpu_percent": 28.0,
    "disk_percent": 50.4,
    "host": "vultr",
    "injected_fault": "SIGKILL on an isolated child process",
    "load_1m": 8.07958984375,
    "memory_percent": 80.8,
    "model_provider_outage": {
     "attempted": "http://127.0.0.1:9/v1/chat/completions",
     "classification": "BLOCKED",
     "error": "URLError: <urlopen error [Errno 111] Connection refused>"
    },
    "pid": 36125,
    "recovery": "spawn replacement, verify pid liveness, then terminate it",
    "replacement_alive": true
   }
  },
  "repo_software": {
   "acceptance": true,
   "after_tail": "============================= test session starts ==============================\ncollected 11 items\n\ntests/test_e72_scheduling_regression.py ..                               [ 18%]\ntests/test_e68_workforce.py .........                                    [100%]\n\n======================== 11 passed in 100.05s (0:01:40) ========================\n",
   "before_tail": "========================= FAILURES ===================================\n_________________ test_soft_cap_one_never_produces_a_zero_cap __________________\ntests/test_e72_scheduling_regression.py:24: in test_soft_cap_one_never_produces_a_zero_cap\n    assert d[\"admit\"] is True, (v, d)\nE   AssertionError: (0.9999999999, {'admit': False, 'estimate': {'basis': 'conservative prior (no observations yet)', 'cpu_weight': 0.2, 'operation': 'count_words', 'predicted_s': 0.01, ...}, 'grants_authority': False, 'hard_cap': 8, ...})\nE   assert False is True\n=========================== short test summary info ============================\nFAILED tests/test_e72_scheduling_regression.py::test_soft_cap_one_never_produces_a_zero_cap\n========================= 1 failed, 1 passed in 0.75s ==========================\n",
   "defect": "adaptive scheduling soft cap could floor to 0 and refuse all work (observed stall)",
   "detected": true,
   "detector_findings": [
    {
     "line": 208,
     "match": "int(math.floor(self.soft_cap))",
     "pattern": "int\\(math\\.floor\\(self\\.soft_cap\\)\\)"
    },
    {
     "line": 140,
     "match": "max(1,",
     "pattern": "max\\(1,"
    },
    {
     "line": 142,
     "match": "max(1,",
     "pattern": "max\\(1,"
    },
    {
     "line": 142,
     "match": "max(1,",
     "pattern": "max\\(1,"
    },
    {
     "line": 143,
     "match": "max(1,",
     "pattern": "max\\(1,"
    },
    {
     "line": 209,
     "match": "max(1,",
     "pattern": "max\\(1,"
    },
    {
     "line": 248,
     "match": "max(1,",
     "pattern": "max\\(1,"
    }
   ],
   "diff_verified_by_worker": true,
   "evidence_of_original_failure": {
    "observed": "24 tasks, 0 verified, 187 SOFT_CAP refusals, mission RUNNING for 240 s",
    "run": "artifacts/e72/scheduling.json"
   },
   "execution_class": "REAL_LOCAL_ENGINEERING",
   "independent_test_scan": [
    {
     "line": 15,
     "match": "assert d[\"admit\"] is True",
     "pattern": "assert d\\[\\\"admit\\\"\\] is True"
    },
    {
     "line": 24,
     "match": "assert d[\"admit\"] is True",
     "pattern": "assert d\\[\\\"admit\\\"\\] is True"
    },
    {
     "line": 10,
     "match": "soft_cap",
     "pattern": "soft_cap"
    },
    {
     "line": 12,
     "match": "soft_cap",
     "pattern": "soft_cap"
    },
    {
     "line": 16,
     "match": "soft_cap",
     "pattern": "soft_cap"
    },
    {
     "line": 19,
     "match": "soft_cap",
     "pattern": "soft_cap"
    },
    {
     "line": 22,
     "match": "soft_cap",
     "pattern": "soft_cap"
    }
   ],
   "independent_verifier": {
    "buggy_failed": true,
    "patched_passed": true,
    "separate_worktree": "/tmp/opencode/e72-missions/repo-verify"
   },
   "limitations": "The pre-fix variant is reconstructed from the defect observed in the E72 scheduling run; it is not a pre-existing bug in HEAD and is not presented as one. Test execution is host-side; the workers independently recompute the scan, diff and hashes.",
   "mission": "repo_software",
   "patch_contains_fix": true,
   "patch_sha256": "d666fddea632fca25a72a44af0a819233c4ac82c2a1a6c29627e5caa5107387f",
   "repository": "/root/cain-studio-platform",
   "suite_after": "======================== 11 passed in 100.05s (0:01:40) ========================",
   "test_failed_before": true,
   "test_passed_after": true,
   "test_sha256": "b2c8451c15320594f5a05fbf098645e4a03edc7e8b780f46f3bf730aa68b3ec0"
  },
  "research_literature": {
   "acceptance": true,
   "execution_class": "REAL_EXTERNAL_SOURCE",
   "extracted_claims": [
    {
     "citation": "http://arxiv.org/abs/2611.15207v1",
     "claims": [
      "We propose verification harnesses, executable harnesses that model all legal usages of an API, so that a proof about the harness is a proof about every well-behaved client."
     ],
     "hypotheses": [],
     "id": "http://arxiv.org/abs/2611.15207v1",
     "published": "2026-11-11T09:03:05Z",
     "title": "Pre-QED: Environment Specifications for Agentic Verification"
    },
    {
     "citation": "http://arxiv.org/abs/2610.34634v1",
     "claims": [
      "We introduce AgentProofBench, which connects paired tests of a frozen acceptance rule to execution from identical saved openings."
     ],
     "hypotheses": [],
     "id": "http://arxiv.org/abs/2610.34634v1",
     "published": "2026-10-25T23:20:28Z",
     "title": "AgentProofBench: Benchmarking Reusable Verifiers for Web Agents"
    },
    {
     "citation": "http://arxiv.org/abs/2610.33633v1",
     "claims": [],
     "hypotheses": [],
     "id": "http://arxiv.org/abs/2610.33633v1",
     "published": "2026-10-24T12:26:13Z",
     "title": "ProbeID: Verifying MCP Tool Identity for LLM Agents under Registry Drift"
    },
    {
     "citation": "http://arxiv.org/abs/2610.31130v1",
     "claims": [],
     "hypotheses": [
      "Experiments show that monitoring can recover the missing distinction in favorable settings but may remain undecided for rare groups, small effects, or missing observations."
     ],
     "id": "http://arxiv.org/abs/2610.31130v1",
     "published": "2026-10-22T11:50:38Z",
     "title": "Post-Audit Mirage: Identifiability Limits of Offline Agent Verification"
    },
    {
     "citation": "http://arxiv.org/abs/2610.29722v1",
     "claims": [
      "First, individually strong techniques from different phases of a RAG pipeline do not necessarily compose: three retrieval techniques predict a +47% combined improvement but deliver only +17% when used together."
     ],
     "hypotheses": [
      "Third, the best composition changes as the corpus grows: the combination that wins on a small corpus may not remain best at large scale."
     ],
     "id": "http://arxiv.org/abs/2610.29722v1",
     "published": "2026-10-21T13:30:29Z",
     "title": "Retrieval Augmented Generation Compositionality"
    },
    {
     "citation": "http://arxiv.org/abs/2610.29174v1",
     "claims": [
      "To address this challenge, we propose LocalAgent, a collaborative agentic framework that integrates the complementary strengths of a generalist MLLM and lightweight specialist verifiers.",
      "Experiments show that LocalAgent improves mean accuracy by 4.9% over the strongest CoT-RFT baseline while invoking a verifier on only 12.13% of samples and preserving the general multimodal capabilities of the underlying MLLM."
     ],
     "hypotheses": [
      "This task requires both global semantic perception and precise examination of subtle local evidence, since semantically similar objects may differ only in small suspicious regions."
     ],
     "id": "http://arxiv.org/abs/2610.29174v1",
     "published": "2026-10-21T04:04:32Z",
     "title": "LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency"
    }
   ],
   "limitations": "Abstract-level analysis only; no full-text reading. Source quality is not peer-review verified. Absence of a detected tension is not evidence of agreement.",
   "method": "arXiv Atom API search; abstracts parsed verbatim; claims/hypotheses separated lexically",
   "mission": "research_literature",
   "possible_tensions": [],
   "quality_assessment": {
    "citation_policy": "every cited id is one of the fetched entries; no citation is invented",
    "conflict_policy": "tensions are lexical flags only; they are not verified contradictions and are labelled verified:false",
    "peer_review": "not established by arXiv metadata; preprints",
    "recency": "sorted by submission date"
   },
   "query": "https://export.arxiv.org/api/query?search_query=all:%22agent%20verification%22&start=0&max_results=6&sortBy=submittedDate&sortOrder=descending",
   "source_count": 6,
   "sources": [
    {
     "authors": [
      "Tristan Lim",
      "Haoxin Tu",
      "Mehtab Zafar",
      "Zhengxiong Luo",
      "Abhik Roychoudhury"
     ],
     "categories": [
      "cs.SE"
     ],
     "id": "http://arxiv.org/abs/2611.15207v1",
     "published": "2026-11-11T09:03:05Z",
     "title": "Pre-QED: Environment Specifications for Agentic Verification"
    },
    {
     "authors": [
      "Jingjie Ning",
      "Xueqi Li",
      "Yi Lu",
      "Yibo Kong"
     ],
     "categories": [
      "cs.MA",
      "cs.AI",
      "cs.SE"
     ],
     "id": "http://arxiv.org/abs/2610.34634v1",
     "published": "2026-10-25T23:20:28Z",
     "title": "AgentProofBench: Benchmarking Reusable Verifiers for Web Agents"
    },
    {
     "authors": [
      "Guanxing Chen",
      "Sining Zhang",
      "Haohuai He",
      "Qiujie Lv",
      "Yu-An Huang",
      "Zhi-An Huang"
     ],
     "categories": [
      "cs.CR",
      "cs.AI"
     ],
     "id": "http://arxiv.org/abs/2610.33633v1",
     "published": "2026-10-24T12:26:13Z",
     "title": "ProbeID: Verifying MCP Tool Identity for LLM Agents under Registry Drift"
    },
    {
     "authors": [
      "Aman Behera",
      "Payal Payal"
     ],
     "categories": [
      "cs.AI",
      "cs.LG"
     ],
     "id": "http://arxiv.org/abs/2610.31130v1",
     "published": "2026-10-22T11:50:38Z",
     "title": "Post-Audit Mirage: Identifiability Limits of Offline Agent Verification"
    },
    {
     "authors": [
      "Ido Levy",
      "Segev Shlomov",
      "Leshem Choshen"
     ],
     "categories": [
      "cs.CL",
      "cs.AI"
     ],
     "id": "http://arxiv.org/abs/2610.29722v1",
     "published": "2026-10-21T13:30:29Z",
     "title": "Retrieval Augmented Generation Compositionality"
    },
    {
     "authors": [
      "Jiachen Guo",
      "Xinshan Zhu",
      "Boyun Wang",
      "Yanyan Liang",
      "Jun Wan",
      "Feng Lin",
      "Ajian Liu"
     ],
     "categories": [
      "cs.CV"
     ],
     "id": "http://arxiv.org/abs/2610.29174v1",
     "published": "2026-10-21T04:04:32Z",
     "title": "LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency"
    }
   ],
   "summary": "LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency\nMultimodal large language models (MLLMs) have made rapid progress in general visual understanding, yet they still struggle with fine-grained instance-level consistency verification, where the goal is to determine whether two images depict the exact same physical object under varying viewpoints, illumination, and backgrounds. We propose verification harnesses, executable harnesses that model all legal usages of an API, so that a proof about the harness is a proof about every well-behaved client. The overarching vision is that verifying an open-source library should become as routine as fuzzing it, with a guarantee that covers every well-behaved client rather than a single scenario like a fuzzing harness. It remains unclear whether their isolated gains survive composition, whether retrieval quality and answer faithfulness favor the same design choices, and whether conclusions from small corpora hold at large scale.",
   "word_count": 1293
  },
  "security_review": {
   "acceptance": true,
   "diff_confirmed": true,
   "execution_class": "REAL_LOCAL_ENGINEERING",
   "findings": [
    {
     "evidence": "os.popen with a concatenated string",
     "kind": "COMMAND_INJECTION",
     "line": 11,
     "severity": "HIGH"
    },
    {
     "evidence": "unescaped relative path joined to root",
     "kind": "PATH_TRAVERSAL",
     "line": 16,
     "severity": "HIGH"
    }
   ],
   "fix_sha256": "437212e7bbcec55a3e8d474220038cb9f2cb52a4611382547e4f9ace943f24ce",
   "limitations": "The vulnerable target was written for this exercise. Exploitation is limited to creating a marker file inside /tmp; no external host is contacted. This is not a security audit of CAIN.",
   "mission": "security_review",
   "regression_after_fix": {
    "command_injection": false,
    "legit_function_ok": true,
    "output_sample": "report: x touch tmpopencodee72-missionssec-targetpwned.marker",
    "path_traversal": false,
    "shell_used": false
   },
   "remediation": "argv list without a shell; character allowlist; resolve+confine paths under ROOT",
   "reproduction_after_fix": {
    "command_injection": false,
    "legit_function_ok": true,
    "output_sample": "report: x touch tmpopencodee72-missionssec-targetpwned.marker",
    "path_traversal": false,
    "shell_used": false
   },
   "reproduction_before": {
    "command_injection": true,
    "legit_function_ok": true,
    "output_sample": "report: x",
    "path_traversal": true,
    "shell_used": true
   },
   "risk": {
    "COMMAND_INJECTION": "HIGH",
    "PATH_TRAVERSAL": "HIGH",
    "rationale": "local input reaches a shell and the filesystem outside the intended root"
   },
   "source_sha256": "2d9a59e05b42153567df945387786fd58cb379f7c0b3a53289a64bc3f133ccae",
   "target": "isolated two-function Python target (no listener, no network, no production code)",
   "worker_scan": [
    {
     "line": 11,
     "match": "os.popen",
     "pattern": "os\\.popen"
    },
    {
     "line": 16,
     "match": "ROOT / rel",
     "pattern": "ROOT / rel"
    }
   ]
  }
 },
 "note": "Acceptance is computed from artifacts and test output. The repo pre-fix variant is a reconstruction of an observed E72 defect, not a claim about HEAD.",
 "schema": "cain72.real_missions.v1",
 "sources": {
  "data": "public Iris CSV",
  "infra": "local host",
  "repo": "local repository worktree",
  "research": "arXiv API",
  "security": "isolated target"
 }
}