Publish partial FACET v2: 704 kept tasks, 565 pending

Publishes all 21,440 recorded Coder pass@4 conversations from 5,360 evaluated tasks. Keeps 704 tasks solved at least once, preserves 4,656 unsuccessful tasks and 95 prior exclusions in archive, and records 565 pending tasks separately. Includes frozen provenance, settings and output-cap caveat, reproducible selection, and measured trajectory statistics. Task payloads are unchanged. This partial teacher release does not claim complete current-profile validation.

.gitattributes

@@ -31598,3 +31598,4 @@ mimo_v1/validation.json filter=lfs diff=lfs merge=lfs -text
 fineenvs_v1/cached_images/bundles-v1/87065f5bed10a0d82dd9ce14b234658f4cf8651035df6d9864bb4c15fba5c0cf/build_0000_324_324276_qa_3-1ddd4dba12a5.sif/build_0000_324_324276_qa_3-1ddd4dba12a5.sif filter=lfs diff=lfs merge=lfs -text
 calibforge_v2/trace_stats/plots/all-models-tokens-by-outcome.pdf filter=lfs diff=lfs merge=lfs -text
 calibforge_v2/trace_stats/plots/qwen3-30b-instruct-2507-tokens-by-outcome.pdf filter=lfs diff=lfs merge=lfs -text
+facet_v2/metadata/stage-6-observed.json filter=lfs diff=lfs merge=lfs -text

facet_v2/README.md

@@ -0,0 +1,73 @@
+# FACET v2: partial Coder pass@4 release
+
+- **Original tasks:** 6,020
+- **Kept:** 704
+- **Changed task payloads:** 0
+- **Archived:** 4,751 (4,656 with no observed success, plus 95 prior v1 exclusions)
+- **Pending:** 565 tasks, representing 2,260 missing attempts
+- **Evaluated:** 5,360 of the 5,925 v1 tasks
+- **Recorded attempts:** 21,440
+- **Saved conversations:** 21,440; no missing conversations among recorded attempts
+- **Successful attempts:** 1,435
+
+This is a **partial release**. `tasks.parquet` contains tasks solved at least once in four recorded attempts. `pending.parquet` preserves unevaluated tasks separately; they are not treated as failures. `archive.parquet` preserves unsuccessful tasks and prior exclusions. All task payloads are unchanged from [facet_v1](../facet_v1), pinned at `3abfc63260ef8ab59ac61274450310f650585bc9`.
+
+## Evaluation setup and coverage
+
+Qwen3-Coder-30B-A3B-Instruct with Terminus-2, four attempts per task. The completed replacement pilot and 223 completed full-run shards supply these results. Another 24 full-run shards did not produce evaluation outcomes and remain pending.
+
+## Evaluation settings
+
+Context is the total prompt plus response window for one model call. The response budget includes reasoning tokens and is not a whole-attempt token budget.
+
+| Model | Context tokens (configured) | Intended response tokens per call | Output-limit evidence | Thinking | Sampling |
+| --- | ---: | ---: | --- | --- | --- |
+| coder-30b | 32768 | 8192 | top-level only; explicit request cap not forwarded by Terminus | off | {"repetition_penalty": 1.05, "temperature": 0.7, "top_k": 20, "top_p": 0.8} |
+| coder-30b | 32768 | 8192 | top-level only; explicit request cap not forwarded by Terminus | off | {"repetition_penalty": 1.05, "temperature": 0.7, "top_k": 20, "top_p": 0.8} |
+
+Configured limits are not measurements of token usage. A missing explicit response cap does not mean unlimited generation: the serving context, backend defaults, stopping conditions and task timeouts still apply. Unknown historical settings are not filled from current model defaults.
+
+
+The intended 8,192-token output cap was stored at the top level of agent kwargs and was **not forwarded** as an explicit request cap by the historical Terminus integration. All 21,440 saved configurations were checked. The actual fallback cap is unknown. This is a per-call limit, not the sum of output tokens across a trajectory. Agent and verifier limits are task-specific; the saved task configurations and resolved trial settings are authoritative. Sampling is temperature 0.7, top-p 0.8, top-k 20 and repetition penalty 1.05; thinking is disabled. The pinned weights revision is `b2cff646eb4bb1d68355c01b18ae02e7cf42d120`.
+
+[Settings audit](metadata/evaluation-settings-audit.json), [frozen contracts](metadata/full-contract.json), and [selection and raw attempt rewards](metadata/selection.json) preserve the evidence.
+
+This release adds teacher results and saved stage-7 evidence; it does not establish that the older v1 validation satisfies today's complete default profile. In particular, outstanding Git-history and timestamp leak-check coverage is not claimed as passed. Missing evaluation results are not validation successes.
+
+## Results on the observed cohort
+
+Rates below use only the 5,360 tasks with four recorded attempts. They are not estimates over all 5,925 v1 tasks.
+
+| Metric | Rate |
+| --- | ---: |
+| Pass@1 | 6.69% |
+| Pass@2 | 9.70% |
+| Pass@3 | 11.66% |
+| Pass@4 | 13.13% |
+
+| Successful attempts out of four | Tasks |
+| --- | ---: |
+| 0 | 4,656 |
+| 1 | 316 |
+| 2 | 157 |
+| 3 | 119 |
+| 4 | 112 |
+
+[Pass-rate plot](plots/pass-rates.pdf) and [success-count plot](plots/solved-counts.pdf).
+
+## Trajectories, runtime and tokens
+
+All 21,440 recorded conversations are included in [traces/coder.parquet](traces/coder.parquet), including unsuccessful attempts. Availability is not a claim that every conversation passes every quality check. Five recorded attempts have no raw verifier reward; the historical terminal-error policy counts these as unsolved while preserving their null raw reward. Absent attempts remain pending.
+
+The median attempt has 31 agent turns, 355,492 cumulative input tokens, 6,469 output tokens, 82 seconds of agent runtime and 7 seconds of verifier runtime. Input tokens include repeated context across calls. Medians use available measurements. See [trajectory statistics and distributions](trace_stats/README.md) for sample counts, outcomes, timeouts, measured resources and token accounting. No API cost or GPU-utilization estimate is inferred from these timings.
+
+## Files and reproduction
+
+- `tasks.parquet`: 704 kept tasks, with pinned image references.
+- `archive.parquet`: 4,751 excluded tasks, preserving archive reasons.
+- `pending.parquet`: 565 tasks with no completed pass@4 outcomes.
+- `traces/`: all recorded conversations and their manifest.
+- `metadata/`: frozen contracts, task hashes, shard provenance and selection evidence.
+- [patch.py](patch.py): reproduce task membership from the pinned v1 release and saved outcomes.
+
+The partial release can be extended when recovery evaluations finish; pending tasks must not be silently converted to failures.

facet_v2/archive.parquet

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+size 90467688

facet_v2/metadata/evaluation-settings.json

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+[
+  {
+    "model": "coder-30b",
+    "hf_repo": "Qwen/Qwen3-Coder-30B-A3B-Instruct",
+    "weights_revision": "b2cff646eb4bb1d68355c01b18ae02e7cf42d120",
+    "agent": "terminus-2",
+    "attempts": 4,
+    "context_tokens": 32768,
+    "intended_output_tokens_per_call": 8192,
+    "output_limit_status": "top-level only; explicit request cap not forwarded by Terminus",
+    "request_output_tokens": null,
+    "thinking": false,
+    "sampling": {
+      "temperature": 0.7,
+      "top_p": 0.8,
+      "top_k": 20,
+      "repetition_penalty": 1.05
+    },
+    "agent_timeout": "task-specific; see saved task.toml and resolved trial timeouts",
+    "contract_sha256": "efd24fa5f07ce9f3f20142d0eb0491764bccd7583a3be44dc110c733b0bf3981"
+  },
+  {
+    "model": "coder-30b",
+    "hf_repo": "Qwen/Qwen3-Coder-30B-A3B-Instruct",
+    "weights_revision": "b2cff646eb4bb1d68355c01b18ae02e7cf42d120",
+    "agent": "terminus-2",
+    "attempts": 4,
+    "context_tokens": 32768,
+    "intended_output_tokens_per_call": 8192,
+    "output_limit_status": "top-level only; explicit request cap not forwarded by Terminus",
+    "request_output_tokens": null,
+    "thinking": false,
+    "sampling": {
+      "temperature": 0.7,
+      "top_p": 0.8,
+      "top_k": 20,
+      "repetition_penalty": 1.05
+    },
+    "agent_timeout": "task-specific; see saved task.toml and resolved trial timeouts",
+    "contract_sha256": "1bb12837a3d855e8921b4dddbf8baad02c578e877e7aeffa3e39ebb95a0c8e71"
+  }
+]

facet_v2/metadata/full-contract.json

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+{
+  "schema_version": 3,
+  "stage_layout": "environment-first-v2",
+  "created_at": "2026-10-18T19:41:14.256134+00:00",
+  "dataset": {
+    "source": "FWeindel/validated-tasks/facet_v1",
+    "reference_solutions": null,
+    "instruction_suffixes": null,
+    "revision": "3abfc63260ef8ab59ac61274450310f650585bc9",
+    "automation_changes": {},
+    "source_files": [
+      {
+        "path": "/hnvme/workspace/y500bb12-optiagent/coder-pass4-20261018/facet/full-tasks.parquet",
+        "sha256": "060ed1aaf1787f1a09e0dd3902ab55b665c65cea2d12e979074a607cf999ede4"
+      }
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+    "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": [
+    6,
+    7
+  ],
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+    "oracle_reward": 1,
+    "nop_reward": 0,
+    "reward_key": "reward",
+    "attempts": 4,
+    "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"
+    },
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+  },
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+      }
+    },
+    "backend": "apptainer",
+    "architecture": "x86_64",
+    "partition_policy": "h200",
+    "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": "helma2",
+    "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",
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facet_v2/metadata/pilot-contract.json

@@ -0,0 +1,1862 @@
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+  },
+  "arguments": {
+    "tasks": "/hnvme/workspace/y500bb12-optiagent/coder-pass4-20261018/facet/pilot-tasks.parquet",
+    "pack_image_cache": false,
+    "fix_instruction_paths": false,
+    "fix_pip_pins": false,
+    "path_resolution_report": [],
+    "fix_repository_leaks": true,
+    "fix_instruction_suffix": false,
+    "dataset_source": "FWeindel/validated-tasks/facet_v1",
+    "dataset_revision": "3abfc63260ef8ab59ac61274450310f650585bc9",
+    "min_tasks": 8,
+    "out": "/hnvme/workspace/y500bb12-optiagent/coder-pass4-20261018/facet/pilot/results",
+    "backend": "apptainer",
+    "environment_kwargs": {},
+    "agent": "terminus-2",
+    "review_evidence": "image",
+    "review_max_budget_usd": 5,
+    "review_reasoning_effort": "medium",
+    "review_agent": null,
+    "model": null,
+    "review_model": null,
+    "review_pricing": null,
+    "review_rubric": "terminal-bench",
+    "review_criteria": null,
+    "review_local": false,
+    "analysis_agent": null,
+    "analysis_model": null,
+    "agent_kwargs": {},
+    "attempts": 4,
+    "outcome_retries": 3,
+    "expected_outcomes": null,
+    "review_setup": null,
+    "preparation_runs": 1,
+    "preparation_mean_target_seconds": null,
+    "preparation_median_target_seconds": null,
+    "preparation_max_seconds": null,
+    "concurrency": 7,
+    "static_concurrency": null,
+    "reuse_stage3": null,
+    "static_resume": null,
+    "static_resume_accept_previous_path_check": false,
+    "reuse_validation_containers": false,
+    "container_start_concurrency": 8,
+    "image_build_memory_mb": 8192,
+    "image_build_cpus": 4,
+    "image_build_concurrency": 2,
+    "image_build_timeout_sec": 3600,
+    "prebuild_only": false,
+    "dependency_archives": null,
+    "dependency_layout": null,
+    "container_start_interval": 0,
+    "limit": null,
+    "task_id_range": null,
+    "static_profile": "training",
+    "resolve_path_root": [],
+    "exclude": [],
+    "submit": "helma",
+    "time": "08:00:00",
+    "partition": "h200",
+    "cpus": 32,
+    "gpus": 1,
+    "memory": null,
+    "trial_cpus": null,
+    "trial_memory_mb": null,
+    "serve_model": "coder-30b",
+    "serve_weights": "/hnvme/workspace/y500bb12-models/Qwen3-Coder-30B-A3B-Instruct",
+    "serve_context": 32768,
+    "serve_replicas": 1,
+    "serve_cpus": 4,
+    "serve_memory_mb": 32768,
+    "max_num_seqs": 16,
+    "api_base": null,
+    "network_mode": "isolated",
+    "reward_key": "reward",
+    "trials": null,
+    "max_iterations": 10,
+    "timeout_minutes": 120,
+    "publish_repo": null,
+    "publish_require_complete": false,
+    "publish_folder": [],
+    "publish_readme": false,
+    "publish_readme_force": false,
+    "publish_readme_model": "claude-fable-5-1",
+    "publish_readme_seed": 0,
+    "publish_readme_evidence": [],
+    "publish_analysis": false,
+    "publish_patch_manifest": [],
+    "publish_conversion_archive": [],
+    "force_build": false,
+    "dry_run": false
+  },
+  "task_manifest": {
+    "path": "contract.tasks.json",
+    "count": 8,
+    "sha256": "df641368e1bc76e72db07227cb93f013fbb389a37d70a5e8f04003aace32e8e3"
+  },
+  "sha256": "efd24fa5f07ce9f3f20142d0eb0491764bccd7583a3be44dc110c733b0bf3981"
+}

facet_v2/metadata/pilot-contract.tasks.json

@@ -0,0 +1,34 @@
+[
+  {
+    "task_id": "task_000001",
+    "sha256": "2cf2b18eada8bcaa64a162dee17d224002936695d78533d52323c52a445ada0e"
+  },
+  {
+    "task_id": "task_000536",
+    "sha256": "4225b6f64314d44ca470e254cdc69cd88ea19ef35a6cbdaca4ac4690377d2f48"
+  },
+  {
+    "task_id": "task_000952",
+    "sha256": "e1b4ceb9a90d52d576e2418807579bfc7a506b8f19a749dc977119de36aad8c8"
+  },
+  {
+    "task_id": "task_001919",
+    "sha256": "8a5ead482d2a8a9dd01e0b76a5b22d68a029a5909fa7b611ded9564f380aec7b"
+  },
+  {
+    "task_id": "task_002908",
+    "sha256": "8bc5d0a7f414ac384cf562d38047e765569428d9777004a1675b6c49c2656aa3"
+  },
+  {
+    "task_id": "task_003890",
+    "sha256": "fe8f9f4ad824dc61d73540d31b7cb52282752412f6f42759faf5a91194aa0125"
+  },
+  {
+    "task_id": "task_004399",
+    "sha256": "6c131ee2aab4093aeecbbef82739ad6f039106f25f09f5dbe7733cb37775ffce"
+  },
+  {
+    "task_id": "task_004876",
+    "sha256": "6c57e2bf6af5880011b7d753a50dc8de1e9ba9ef2626a1781df5bc9a66ede9a7"
+  }
+]

facet_v2/metadata/stage-6-observed.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:83669949ddb9b812fab1fed90945e3f6cc769ba88c97214bd0ace578124ee385
+size 38518690

facet_v2/patch.py

@@ -0,0 +1,24 @@
+"""Reproduce partial FACET v2 membership; preserves source task payloads.
+Run: python patch.py --out reproduced
+Requires huggingface_hub and pyarrow; metadata/selection.json beside this file.
+"""
+from pathlib import Path
+import argparse,json
+import pyarrow as pa,pyarrow.parquet as pq
+from huggingface_hub import hf_hub_download
+
+def main():
+ ap=argparse.ArgumentParser();ap.add_argument('--out',type=Path,required=True);a=ap.parse_args()
+ selection=json.loads((Path(__file__).parent/'metadata/selection.json').read_text())
+ a.out.mkdir(parents=True,exist_ok=True)
+ source=pq.read_table(hf_hub_download('FWeindel/validated-tasks','facet_v1/tasks.parquet',repo_type='dataset',revision=selection['base_revision']))
+ groups={'tasks.parquet':[],'archive-new.parquet':[],'pending.parquet':[]}
+ for i,r in enumerate(source.select(['path','content_sha256']).to_pylist()):
+  info=selection['tasks'].get(r['path'])
+  if info:assert info['content_sha256']==r['content_sha256']
+  name='pending.parquet' if info is None else 'tasks.parquet' if info['kept'] else 'archive-new.parquet'
+  if info is None:assert r['path'] in selection['pending_task_ids']
+  groups[name].append(i)
+ for name,indices in groups.items():pq.write_table(source.take(pa.array(indices)),a.out/name,compression='zstd')
+ print({k:len(v) for k,v in groups.items()})
+if __name__=='__main__':main()

facet_v2/pending.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c6d9963878f61883590d0739bd3c1735a09508bdb3aeefcde1a2bd0933d4ae61
+size 10493763

facet_v2/tasks.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:18358a63aa155f090f5d2e234a048878f87505ff624c54d9d4492693459aed08
+size 11589316

facet_v2/trace_stats/README.md

@@ -0,0 +1,65 @@
+# Trajectory statistics
+
+21,440 attempts across 5,360 FACET tasks, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
+
+| Metric | qwen3-coder-30b-a3b-instruct |
+| --- | ---: |
+| Recorded attempts | 21,440 |
+| Median agent turns | 31 |
+| Median input tokens per attempt | 355,492 |
+| Median output tokens per attempt | 6,469 |
+| Median agent runtime (seconds) | 82 |
+| Median verifier runtime (seconds) | 7 |
+
+Medians use recorded measurements only.
+
+## Plots
+
+![Trace measurements](plots/all-models-trace-distributions.png)
+
+![Trace outcomes](plots/all-models-trace-outcomes.png)
+
+![Most frequent commands](plots/all-models-trace-commands.png)
+
+Commands are counted as submitted, not as successful executions.
+
+Per-model plots: [qwen3-coder-30b-a3b-instruct](plots/qwen3-coder-30b-a3b-instruct-trace-commands.png), [qwen3-coder-30b-a3b-instruct](plots/qwen3-coder-30b-a3b-instruct-trace-distributions.png), [qwen3-coder-30b-a3b-instruct](plots/qwen3-coder-30b-a3b-instruct-trace-outcomes.png).
+
+## Data
+
+- [Summary](data/summary.json): overall and per-model statistics.
+- [Per-task metrics](data/per_task.parquet) and [per-attempt metrics](data/per_attempt.parquet), with nested metrics stored as JSON.
+- [Provenance](data/provenance.json): source files and deduplication.
+
+Attempts without a saved conversation: 0; without a verifier reward: 5. Their missing measurements stay empty.
+
+
+Evaluation budgets: see the [dataset evaluation setup](../README.md). Per-call context and output-limit enforcement are not established by token-usage statistics.
+
+
+## Token usage and summarization
+
+All published traces are included, covering kept and excluded tasks and every verifier outcome. One trace means one task attempt.
+
+![Output, summarization, and context distributions](plots/all-models-tokens-by-outcome.png)
+
+- **Output per recorded agent step:** successful, graded unsuccessful, and ungraded attempts shown separately. Each step contributes once.
+- **Summarizations per trace:** one combined distribution across all traces with a recorded count, including zero.
+- **Peak context per trace:** the largest recorded step prompt + output count in each trace, separated into traces with and without summarization. Unknown summary counts are kept separate when present. Each trace contributes once, regardless of its length or outcome.
+
+[Detailed statistics](data/tokens-by-outcome.json) retain sample counts and missing measurements. Missing summary counts are not zero. ATIF steps can aggregate multiple requests, so recorded context does not establish an exact per-call context limit.
+
+## Saved evaluation settings
+
+## Evaluation settings
+
+Context is the total prompt plus response window for one model call. The response budget includes reasoning tokens and is not a whole-attempt token budget.
+
+| Model | Context tokens (configured) | Intended response tokens per call | Output-limit evidence | Thinking | Sampling |
+| --- | ---: | ---: | --- | --- | --- |
+| coder-30b | 32768 | 8192 | top-level only; explicit request cap not forwarded by Terminus | off | {"repetition_penalty": 1.05, "temperature": 0.7, "top_k": 20, "top_p": 0.8} |
+| coder-30b | 32768 | 8192 | top-level only; explicit request cap not forwarded by Terminus | off | {"repetition_penalty": 1.05, "temperature": 0.7, "top_k": 20, "top_p": 0.8} |
+
+Configured limits are not measurements of token usage. A missing explicit response cap does not mean unlimited generation: the serving context, backend defaults, stopping conditions and task timeouts still apply. Unknown historical settings are not filled from current model defaults.
+
+The intended 8,192-token output cap was not forwarded by historical Terminus. Its fallback cap is unknown. All saved result configurations were inspected; see the [settings audit](../metadata/evaluation-settings-audit.json). Agent and verifier timeouts are task-specific. Thinking is disabled; temperature 0.7, top-p 0.8, top-k 20, repetition penalty 1.05.

facet_v2/trace_stats/data/per_attempt.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1467cf1c251f855368607e98161df2e7b7144fef09479877d4ed6c40c2ffdc2d
+size 3440898

facet_v2/trace_stats/data/per_task.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c86651b01455978cf570d66d14f91021646056017c4a5e1310e1236dc5b1bff5
+size 2274113

facet_v2/trace_stats/data/provenance.json

@@ -0,0 +1,33 @@
+{
+ "deduplication_key": [
+  "model",
+  "task_id",
+  "attempt_id"
+ ],
+ "sources": [
+  {
+   "file": "traces/coder.parquet",
+   "rows": 21440,
+   "unique_rows_added": 21440,
+   "sha256": "7acf12711e455b3944cd1cd0c93e0fff533ecff90f1ffa49fd94efce1e1f2989"
+  }
+ ],
+ "figures": {
+  "all-models": {
+   "trace_distributions": "plots/all-models-trace-distributions.png",
+   "trace_outcomes": "plots/all-models-trace-outcomes.png",
+   "trace_commands": "plots/all-models-trace-commands.png"
+  },
+  "qwen3-coder-30b-a3b-instruct": {
+   "trace_distributions": "plots/qwen3-coder-30b-a3b-instruct-trace-distributions.png",
+   "trace_outcomes": "plots/qwen3-coder-30b-a3b-instruct-trace-outcomes.png",
+   "trace_commands": "plots/qwen3-coder-30b-a3b-instruct-trace-commands.png"
+  }
+ },
+ "metric_implementation_sha256": "ffa2ef63f6c84b193cd50503ece64f6819abc82b894c041ae9c7fb601ef33fe1",
+ "outcome_implementation_sha256": "570e8bdb6930588cb87b9f3728518cae549fd20da595808a2ecef7fed75dddc0",
+ "plotting": {
+  "implementation_sha256": "3e3bdc00f8b2100de4f96bdb48ce6fd87eff518a6bb380f9b07c3da352ad7db6"
+ },
+ "outcome_policy": "exclusive-outcomes-v1"
+}

facet_v2/trace_stats/data/tokens-by-outcome.json

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+{
+  "scope": "All deduplicated published attempts, including kept and excluded tasks.",
+  "outcome_definition": "Raw verifier reward >= 1 is successful; lower finite scores are graded unsuccessful; missing/nonfinite scores are ungraded.",
+  "measurement_notes": "Step distributions weight each recorded agent step equally. ATIF step usage may aggregate multiple requests, so these are not guaranteed per-call measurements. Context means recorded prompt plus completion tokens. Attempt output includes reported auxiliary generation. Cumulative input counts repeated history again and is not unique rollout length. Missing measurements are excluded, never replaced by zero. Summary counts are recorded events, not a measure of their effectiveness.",
+  "models": {
+    "all-models": {
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+        "metrics": {
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+            "p90": 1,
+            "p95": 1,
+            "max": 2
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+        "missing_measurements": {
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+          "step_prompt_tokens": 0,
+          "step_context_tokens": 0,
+          "output_tokens": 0,
+          "input_plus_output_tokens": 0,
+          "context_summarizations": 0
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+        "attempts_with_summaries": 179
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+      "Unsuccessful (graded)": {
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+        "metrics": {
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