Add calibforge_v4 unfiltered judge annotations

.gitattributes

@@ -32520,3 +32520,6 @@ tmax_v1/cached_images/bundles-v1/f6a4250957f016a95c516e9f9b1c6606389cd427ff48ba1
 pymethods2test_v1/cached_images/bundles-v1/7c80a67e12418ca820640b017c94cd2fc1c2190c3759d9f5a27ec6556dbee917/build_pymethods2test-0000-a6e6e30724d8.sif/build_pymethods2test-0000-a6e6e30724d8.sif filter=lfs diff=lfs merge=lfs -text
 pymethods2test_v1/cached_images/bundles-v1/933d1a70c74160d9ae1fd3faea7290ee7d6b264cae1675febb7308caf8827c2a/build_pymethods2test-0213-9aba5c690be7.sif/build_pymethods2test-0213-9aba5c690be7.sif filter=lfs diff=lfs merge=lfs -text
 pymethods2test_v1/cached_images/bundles-v1/dc604ce73048e0f5449966cecb03b55a55c4634088e1758e63b3c01ca3d844ba/build_pymethods2test-0457-2a0b92f54219.sif/build_pymethods2test-0457-2a0b92f54219.sif filter=lfs diff=lfs merge=lfs -text
+calibforge_v4/provenance/batch3/report.json filter=lfs diff=lfs merge=lfs -text
+calibforge_v4/provenance/batch4/report.json filter=lfs diff=lfs merge=lfs -text
+calibforge_v4/provenance/batch5-final/report.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -13,15 +13,27 @@ configs:
 - config_name: default
   data_files:
   - split: train
-    path: "*_v1/tasks.parquet"
+    path: '*_v1/tasks.parquet'
 - config_name: v2
   data_files:
   - split: train
-    path: "*_v2/tasks.parquet"
+    path: '*_v2/tasks.parquet'
 - config_name: archive
   data_files:
   - split: train
-    path: "*_v1/archive.parquet"
+    path: '*_v1/archive.parquet'
+- config_name: calibforge_v4
+  data_files:
+  - split: train
+    path: calibforge_v4/tasks.parquet
+- config_name: calibforge_v4_judgments
+  data_files:
+  - split: train
+    path: calibforge_v4/results.parquet
+- config_name: calibforge_v4_judge_attempts
+  data_files:
+  - split: train
+    path: calibforge_v4/judge_attempts.parquet
 ---
 
 # Validated tasks
@@ -107,4 +119,8 @@ Trace stats put each attempt into one outcome category:
 | Other error | An error was recorded, but it does not fit the categories above. |
 | Not recorded | The saved result does not say how the attempt ended. |
 
-These labels come from the harness's recorded stop reason and error type, not an LLM judge. 
+These labels come from the harness's recorded stop reason and error type, not an LLM judge.
+
+## CalibForge v4 judge annotations
+
+[calibforge_v4](calibforge_v4/README.md) keeps the full reviewed v1 task pool and adds judge annotations without filtering tasks.

calibforge_v4/README.md

@@ -0,0 +1,106 @@
+# CalibForge v4: LLM judge annotations
+
+This release keeps all 5,317 tasks from the pinned CalibForge v1 snapshot and adds LLM judge results. No task is filtered by judge severity, an unassessed criterion, or a review error. Task payloads and published image references are unchanged. This is an annotation release over the full v1 pool, not the v2/v3 teacher-solved selection.
+
+## Coverage
+
+| Measure | Tasks |
+| --- | --- |
+| All tasks, kept without judge-based filtering | 5317 |
+| Tasks with a saved judgment | 4911 |
+| Complete assessments | 4800 |
+| Judgments with at least one not_assessed criterion | 111 |
+| Review errors without a saved judgment | 406 |
+| Not reviewed | 0 |
+
+## Overall judgment
+
+| Classification | Tasks |
+| --- | --- |
+| None | 262 |
+| Minor | 593 |
+| Major | 3945 |
+| Incomplete (at least one not_assessed) | 111 |
+| Review error | 406 |
+| Not reviewed | 0 |
+
+These classes are mutually exclusive. Any `not_assessed` criterion makes the overall classification incomplete. `judge_max_severity` separately preserves the highest known finding, including major or minor findings in incomplete assessments. `none` means no defect was identified by this assessment; it is not proof that the task is defect-free.
+
+Of the 111 incomplete judgments, 92 already report a major finding, 13 report a minor finding, and 6 report no finding in the assessed criteria. They stay in the incomplete overall group above; the known findings remain available in the per-rubric results.
+
+## Results by rubric
+
+| Rubric | None | Minor | Major | Not assessed | No judgment |
+| --- | --- | --- | --- | --- | --- |
+| Instruction Quality | 4563 | 249 | 99 | 0 | 406 |
+| Instruction / Verifier Alignment | 2859 | 1222 | 830 | 0 | 406 |
+| Verifier Coverage & Correctness | 780 | 813 | 3318 | 0 | 406 |
+| Anti-Cheating Robustness | 4092 | 0 | 710 | 109 | 406 |
+| Other | 4535 | 171 | 199 | 6 | 406 |
+
+Counts are per task and criterion, using one selected judgment. Each row sums to the full task count. Rubric rows overlap across tasks and must not be summed as unique defects. No judgment means a review failed or was not run; it is distinct from a reviewer returning `not_assessed`.
+
+Anti-cheating robustness was not assessed for 109 tasks, and Other was not assessed for 6. The groups overlap on 4 tasks, giving 111 distinct incomplete judgments.
+
+### Instruction / Verifier Alignment subcategories
+
+| Subcategory | Minor | Major | Total |
+| --- | --- | --- | --- |
+| Unstated Requirement | 352 | 112 | 464 |
+| Overly Restrictive Verifier | 814 | 611 | 1425 |
+| Contradictory Requirement | 56 | 107 | 163 |
+| Total | 1222 | 830 | 2052 |
+
+Only this rubric defines subcategories. Each minor or major alignment judgment contributes exactly one count, including tasks that are incomplete on a different criterion. No subcategories are assigned to `none`, `not_assessed`, or review errors.
+
+## Review errors
+
+| Reason | Tasks |
+| --- | --- |
+| Cybersecurity content flag | 390 |
+| Task memory limit | 1 |
+| Model capacity | 15 |
+
+Cybersecurity content flags are reviewer refusals, not findings that a task is malicious or defective. Capacity and execution errors also provide no quality judgment.
+
+## Judge settings
+
+| Setting | Value |
+| --- | --- |
+| Model | gpt-6.1-sol |
+| Agent | codex |
+| Reasoning effort | low |
+| Evidence | image |
+| Independent reviews per task/run | 1 |
+| Rubric | custom_severity |
+| Saved task/run attempts | 5757 |
+| Per-review timeout | 30 minutes |
+| Maximum review repair rounds | 2 |
+
+Review repair rounds, timeouts, effective network observations, run durations, and CPU/memory allocations are recorded for each input run in `run.json`. Offline execution is not established by the requested network setting. The frozen rubric is included as `rubric.toml`.
+
+## Attempts and limitations
+
+The selected result is the latest saved valid judgment over the exact same task content. A later error does not replace a valid judgment. If no judgment exists, the latest error is selected. Every saved task/run attempt, including unsuccessful attempts, remains in `judge_attempts.parquet`. Individual judgments from a recovered partial run are included without relabeling that original run as complete. Unavailable node-local verdicts are excluded from coverage; their logged completion counts are not treated as recovered judgments. These are model-generated annotations, not independently confirmed task defects.
+
+The later 406-task retry ended after a compute-node failure. Its log listed 85 completed reviews, but those node-local verdicts have not been recovered and are not counted in this release.
+
+## Files and usage
+
+| File | Contents |
+| --- | --- |
+| tasks.parquet | Unmodified source tasks and pinned image metadata |
+| results.parquet | One revision-linked result row per task, with criterion severities, explanations, evidence, and missing-assessment reasons |
+| judge_attempts.parquet | All saved attempts and the selected-attempt flag |
+| rubric.toml | Exact rubric used by the judge |
+| run.json | Source, coverage, settings, and run provenance |
+| provenance/ | Saved reports, contracts, task manifests, and recovery disclosures |
+
+Task and judgment rows join on `task_id`/`path` and `content_sha256`. The Hub configurations `calibforge_v4`, `calibforge_v4_judgments`, and `calibforge_v4_judge_attempts` expose the tables separately. Existing v1 validation metadata stays in the task file and is not presented as newly rerun validation.
+
+```python
+from datasets import load_dataset
+
+tasks = load_dataset("FWeindel/validated-tasks", "calibforge_v4", split="train")
+judgments = load_dataset("FWeindel/validated-tasks", "calibforge_v4_judgments", split="train")
+```

calibforge_v4/judge_attempts.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d69cb2b4d03534ebe225a7a4beea50ef56dcb128729a5d697243341f05860bf1
+size 10309036

calibforge_v4/provenance/batch1-partial/contract.json

@@ -0,0 +1,1586 @@
+{
+  "schema_version": 3,
+  "stage_layout": "environment-first-v2",
+  "created_at": "2026-10-28T11:35:41.211862+00:00",
+  "dataset": {
+    "source": "hf://datasets/FWeindel/validated-tasks/calibforge_v1/tasks.parquet",
+    "reference_solutions": {
+      "task_count": 1000,
+      "solution_count": 0,
+      "complete": true
+    },
+    "instruction_suffixes": {
+      "task_count": 1000,
+      "Terminal-Bench tasks": 0,
+      "this task": 1000,
+      "complete": true
+    },
+    "revision": "274829c9e37b1cae36fdfc2efc0b66ea762e5868",
+    "automation_changes": {},
+    "source_files": [
+      {
+        "path": "/hnvme/workspace/y500bb10-endless_terminals-audit/runs/calibforge-custom-severity-1000-20261028T113411Z/tasks.parquet",
+        "sha256": "2f8a3657aaf7933cb2b6ba4558af2e9523d092f804e004071c6480ec2e206789"
+      }
+    ],
+    "preselection": null,
+    "normalization": null,
+    "selection": {
+      "method": "all",
+      "limit": null,
+      "task_id_range_inclusive": null,
+      "order": "lexicographic IDs for ranges; otherwise sorted Parquet paths then row order, or sorted task directories",
+      "implementation": "validation/contract.py:inventory (hash recorded in implementation)"
+    }
+  },
+  "stages": [
+    5
+  ],
+  "success_criteria": {
+    "minimum_tasks": 1000,
+    "oracle_reward": 1,
+    "nop_reward": 0,
+    "reward_key": "reward",
+    "attempts": 1,
+    "static_checks": [],
+    "static_checks_by_stage": {},
+    "static_exclusions": {
+      "check-task-changelog.sh": "training tasks do not require Terminal-Bench PR changelogs",
+      "check-test-sh-sanity.sh": "training permits shared system Python and image-installed verifier dependencies; uv is not required, and stages 3/3 check execution",
+      "check-separate-verifier.sh": "training permits grading in the agent environment, including installed packages and changed system state; separate verification is optional",
+      "check-allow-internet.sh": "network policy is declared by the task and checked at runtime",
+      "check-no-allow-internet-true.sh": "explicit task network policies are allowed",
+      "check-pytest-version.sh": "training tasks may use other pinned pytest/CTRF versions",
+      "check-gpu-types.sh": "Modal GPU naming conventions do not apply to the Helma execution profile",
+      "check-canary.sh": "training tasks do not require a benchmark canary string",
+      "check-instruction-headings.sh": "Markdown headings are allowed in training instructions",
+      "check-task-fields.sh": "training tasks do not require TB author GitHub metadata, taxonomy or explanation sections",
+      "check-task-package-name.sh": "training task package names need not use the terminal-bench namespace",
+      "check-task-slug.sh": "training task names may contain more than three hyphen-separated tokens",
+      "rubric_review.py": "LLM rubric review is opt-in via stage 5, never a default static check"
+    },
+    "conditional_checks": {
+      "check_ai_detection.py": "only with GPTZERO_API_KEY; missing key or upstream API-unavailable skip is non-failing"
+    },
+    "failure_policy": "collect all findings; fail acceptance on any selected failure/error/skip or insufficient coverage"
+  },
+  "execution_profile": {
+    "operation": "validation",
+    "dependency_archives": null,
+    "instruction_path_search_roots": [],
+    "agent_settings": {
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+        "parser_name": "json",
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+        "collect_rollout_details": false,
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+        "enable_summarize": true,
+        "proactive_summarization_threshold": 8000,
+        "max_thinking_tokens": null,
+        "model_info": null,
+        "trajectory_config": null,
+        "trajectory_dump_cadence": null,
+        "tmux_pane_width": 160,
+        "tmux_pane_height": 40,
+        "store_all_messages": false,
+        "enable_episode_logging": false,
+        "interleaved_thinking": false,
+        "suppress_max_turns_warning": false,
+        "use_responses_api": false,
+        "llm_backend": "litellm",
+        "llm_kwargs": null,
+        "llm_call_kwargs": null,
+        "extra_body": null,
+        "extra_env": null,
+        "turn_callback": null,
+        "batch_turn_execs": true,
+        "batch_exec_timeout_margin_sec": 180.0
+      },
+      "defaults_resolved": true,
+      "source_sha256": {
+        "terminus_2.py": "256df8b60461c9326468f843e5c3a0f483d03b473a47d6b5a1d442ab0b6d48cd",
+        "terminus_json_plain_parser.py": "b20ad9b8931d4f92c31aa588126a342d9cc6a59396f3ef21243bd077895d9022",
+        "terminus_xml_plain_parser.py": "11ff85d848d4ada5874644b5113b08dbcc53de81deb6ba4e014ca6fce92435fa",
+        "templates/terminus-json-plain.txt": "89a3dc3a15752b748a99fb907c9251ab31a464e13386583fb48476b078b54a34",
+        "templates/terminus-xml-plain.txt": "721c0ada54921cbb7bb9f817f2306c79ff4ba3381d08be7eb97fbeb0d99d298d",
+        "templates/timeout.txt": "32bf9aa7b157a6a0e0ba0d33b81e59dd67204276f158afc1fe6cb684ced68872"
+      }
+    },
+    "backend": "apptainer",
+    "architecture": "x86_64",
+    "partition_policy": "preempt_cpu",
+    "allocation_policy": "auto: CPU for external models; h200 for local models or explicit GPUs; h200 fallback if CPU partition has no usable nodes",
+    "scheduler_target": "helma/Slurm",
+    "submission_host": "helma4",
+    "network": "isolated",
+    "network_guarantee": "isolation requested; existing bridge may fall back to host network; offline isolation is NOT established",
+    "privileges": "fakeroot requested, host UID unprivileged; bridge may fall back without fakeroot",
+    "mount_policy": "per-trial workdir, tests, logs, home and tmp; site hostfs/bind-paths/cwd disabled; baked verifier tests preserved; explicit read-only host DNS bind only in host network mode",
+    "profile_scope": "declared bridge policy including stated fallbacks; does not certify offline or rootless behavior",
+    "dependency_policy": "execute shipped Dockerfiles; mutable tags and unpinned installs are not rewritten; reuse content-keyed image cache unless force_build; installed agents may download dependencies",
+    "environment_kwargs": {},
+    "build_retry_policy": "after initial pass, retry failed tasks three times in fresh environments; require all three to pass; skip subsequent oracle/NOP on failure",
+    "preparation_measurement": {
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+      "runs": 1,
+      "mean_target_seconds": null,
+      "median_target_seconds": null,
+      "verifier_review": null,
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+      "startup_policy": "review records startup separately, bounded by each environment.build_timeout_sec; startup failures fail validation",
+      "scope": "review preparation excludes container startup; fresh task preparation; review also measures verifier transfers and tests/setup.sh separately; excludes image builds, inspection and grading"
+    },
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+    "trial_cpus": null,
+    "trial_memory_mb": null,
+    "agent": "terminus-2",
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+    "review_agent": "codex",
+    "review_rubric": "custom_severity",
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+    "review_evidence": "image",
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+    "review_model": "gpt-6.1-sol",
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+      "file": ".github/harbor-run-defaults.yml",
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+    "local_model_assets": null,
+    "serve_model": null,
+    "api_base": null,
+    "validation_container_reuse": "fresh instance per phase",
+    "nop_setup_policy": "one NOP trial per attempt after environment preparation; no pre-setup NOP",
+    "task_setup_budget_policy": "Slurm image preparation precedes task timers; container startup, detected task setup and setup-files upload share environment.build_timeout_sec; direct runs without preparation also include image build",
+    "container_start_concurrency": 8,
+    "image_preparation": {
+      "memory_mb": 8192,
+      "cpus": 4,
+      "concurrency": 2,
+      "timeout_sec": 3600
+    },
+    "container_start_interval": 0,
+    "static_concurrency": 6,
+    "static_concurrency_policy": "cap at allocated CPU budget; no separate verifier reservation",
+    "concurrency": 6,
+    "concurrency_policy": "cap at allocation CPU budget including separate verifiers; record effective value in resources.json",
+    "cpus": 48,
+    "gpus": 0,
+    "serve_cpus": 4,
+    "serve_memory_mb": 32768,
+    "max_num_seqs": null
+  },
+  "runtime_dependencies": {
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calibforge_v4/provenance/batch1-partial/recovery.json

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calibforge_v4/provenance/batch1-retry520/contract.json

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calibforge_v4/provenance/batch2/contract.json

@@ -0,0 +1,1586 @@
+{
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+  "stage_layout": "environment-first-v2",
+  "created_at": "2026-10-28T22:54:31.299248+00:00",
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+      "check-canary.sh": "training tasks do not require a benchmark canary string",
+      "check-instruction-headings.sh": "Markdown headings are allowed in training instructions",
+      "check-task-fields.sh": "training tasks do not require TB author GitHub metadata, taxonomy or explanation sections",
+      "check-task-package-name.sh": "training task package names need not use the terminal-bench namespace",
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+    "scheduler_target": "helma/Slurm",
+    "submission_host": "helma2",
+    "network": "isolated",
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+    "dependency_policy": "execute shipped Dockerfiles; mutable tags and unpinned installs are not rewritten; reuse content-keyed image cache unless force_build; installed agents may download dependencies",
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+    "validation_container_reuse": "fresh instance per phase",
+    "nop_setup_policy": "one NOP trial per attempt after environment preparation; no pre-setup NOP",
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+    "image_preparation": {
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+      "cpus": 4,
+      "concurrency": 2,
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+    "static_concurrency": 4,
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+    "concurrency": 4,
+    "concurrency_policy": "cap at allocation CPU budget including separate verifiers; record effective value in resources.json",
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calibforge_v4/provenance/batch3/contract.json

@@ -0,0 +1,1586 @@
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calibforge_v4/rubric.toml

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+[severity_levels]
+none = "0 defect identified in this category through the completed assessment."
+minor = "A limited defect affecting peripheral requirements, uncommon scenarios, or a small portion of the task, without substantially undermining its main objective or reward validity."
+major = "A substantial defect that undermines essential task requirements, causes materially incorrect reward assignments, or makes the task or verifier fundamentally unreliable."
+not_assessed = "Insufficient information, access, or execution capability prevents a meaningful assessment of this category."
+
+[guidance]
+example_guidance = "The examples illustrate typical defects and their severity but are not exhaustive. Evaluate each finding based on its actual impact on the task's essential requirements and verifier reliability. Do not classify findings solely by their similarity to an example."
+
+[[rubrics]]
+id = "instruction_quality"
+name = "Instruction Quality"
+definition = "The instruction clearly communicates what the agent is expected to accomplish. The task has a sufficiently well-defined, consistent, and objectively verifiable goal. Different reasonable interpretations should not lead to substantially different expected outcomes."
+allowed_severities = ["none", "minor", "major", "not_assessed"]
+
+[rubrics.examples]
+minor = 'The task specifies which statistics to compute and which file to write, but also requests a "short console summary" without clarifying its content. The main objective remains well-defined.'
+major = 'The instruction asks the agent to "improve the performance of the application" without identifying which operations should be optimized or how improvement is measured. Different reasonable interpretations lead to substantially different solutions.'
+
+[[rubrics]]
+id = "instruction_verifier_alignment"
+name = "Instruction–Verifier Alignment"
+definition = "The verifier evaluates the behavior required by the instruction without introducing unstated, unnecessarily restrictive, or contradictory requirements. A solution that correctly fulfills the instruction should not fail because of additional expectations imposed by the verifier."
+concern = "Correct solutions failing."
+allowed_severities = ["none", "minor", "major", "not_assessed"]
+subcategory_rule = "For minor or major findings, choose exactly one most specific applicable subcategory for the most severe reported defect. For none or not_assessed, use null."
+
+[[rubrics.subcategories]]
+id = "unstated_requirement"
+name = "Unstated Requirement"
+definition = "The verifier requires functionality or behavior that is not explicitly specified in the instruction. This includes requirements that are plausibly inferable from context or conventions but not clearly implied, as well as requirements that cannot reasonably be inferred. Requirements clearly implied by the instruction are not considered defects."
+
+[rubrics.subcategories.examples]
+minor = "The instruction asks the agent to implement a function that converts names to lowercase. The verifier additionally requires removing leading and trailing whitespace. Although this behavior is not explicitly specified, it is a common normalization convention that an agent might reasonably anticipate. The additional requirement affects only a limited set of inputs."
+major = "The instruction asks the agent to implement a CSV parser. The verifier additionally requires parsing JSON files, although JSON support is never mentioned or implied. A substantial additional feature is required to pass."
+
+[[rubrics.subcategories]]
+id = "overly_restrictive_verifier"
+name = "Overly Restrictive Verifier"
+definition = "The verifier rejects functionally correct solutions because it unnecessarily enforces a particular implementation, representation, ordering, or other detail not required for correctness."
+
+[rubrics.subcategories.examples]
+minor = "The instruction asks for a JSON output containing specified fields. An auxiliary test requires the JSON keys in a particular order, even though key ordering is not specified and is irrelevant to the requested behavior."
+major = "The instruction asks the agent to implement a working CSV parser. The verifier checks that the implementation imports pandas, rejecting functionally correct implementations using Python's built-in csv module."
+
+[[rubrics.subcategories]]
+id = "contradictory_requirement"
+name = "Contradictory Requirement"
+definition = "The verifier expects behavior that directly conflicts with an explicit requirement in the instruction."
+
+[rubrics.subcategories.examples]
+minor = "The instruction explicitly asks the agent to preserve existing comments in a configuration file. One test instead requires removing a particular nonessential header comment."
+major = "The instruction explicitly requires a file to contain nine lines, but the verifier accepts only an exact eight-line byte sequence. Adding a ninth line to satisfy the stated line count causes verification to fail. The verifier therefore enforces behavior that conflicts with an explicit requirement."
+
+[[rubrics]]
+id = "verifier_coverage_correctness"
+name = "Verifier Coverage & Correctness"
+definition = "The verifier meaningfully checks the essential requirements of the instruction. An incomplete or incorrect solution that fails to satisfy an important and essential requirement should not pass. Exhaustive test coverage is not required; assess the severity of coverage gaps based on whether they affect peripheral cases or substantially undermine verification of the main objective."
+concern = "Incorrect solutions passing."
+allowed_severities = ["none", "minor", "major", "not_assessed"]
+
+[rubrics.examples]
+minor = "The instruction asks for a CSV parser supporting quoted fields. Tests cover ordinary quoted fields but omit the uncommon case of embedded newlines inside quoted fields. An implementation failing only that case could pass."
+major = "The instruction asks the agent to compute summary statistics from a dataset. The verifier checks only that the output JSON contains the expected keys, without validating any computed values. Arbitrary numerical results can pass."
+
+[[rubrics]]
+id = "anti_cheating_robustness"
+name = "Anti-Cheating Robustness"
+definition = "The task and verifier should prevent an agent from obtaining reward without genuinely solving the task through unintended access to answers, modification of evaluation components, or manipulation of verification. A defect must be demonstrated by a successful exploit whose construction and execution require only information and access available to the solving agent, without relying on reviewer-only knowledge of protected tests or answers."
+allowed_severities = ["none", "major", "not_assessed"]
+evidence_requirement = "A major defect requires an executed, successful exploit under the solving agent's actual access constraints and verifier mode."
+
+[rubrics.examples]
+major = "A task image unintentionally contains a readable file with the expected output. An audit demonstrates that copying this file without performing the requested computation passes the verifier."
+
+[[rubrics]]
+id = "other"
+name = "Other"
+definition = "Any task-quality defect not captured by the other rubrics, such as an unusable execution environment, missing required dependencies, verifier crashes, or unreliable and nondeterministic evaluation."
+allowed_severities = ["none", "minor", "major", "not_assessed"]
+
+[rubrics.examples]
+minor = "A test for an auxiliary timestamp occasionally fails because of a race condition, while verification of the essential functionality remains reliable."
+major = "The task requires a PostgreSQL server, but the provided environment neither starts nor provides the database service. The task cannot be completed as specified."

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+        "none": 780
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+      ],
+      "evidence_archive_saved": false,
+      "partial_summary_recovered": false,
+      "recovery_blocker": "Node unreachable over SSH (No route to host)",
+      "included_in_saved_judgments": false
+    }
+  ],
+  "selection_policy": "latest valid judgment; errors do not replace valid judgments; otherwise latest error"
+}

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