Add endless_v3: Qwen3.8-27B pass@2 on v2 exclusions, 2,079 kept

Qwen3.8-27B pass@2 on the 186 tasks excluded from endless_v2: 121 newly solved, 2,079 kept, 65 excluded. Adds traces, trace statistics and contracts. endless_v1 README: note that the repository-leak check did not search /home and a rerun is pending.

endless_v1/README.md

@@ -32,7 +32,7 @@ Includes historical full runs and repair pilots.
 - **3. No-op baseline (reward 0): 0 changed, 23 archived.** Archived 22 tasks that passed without a fix and 1 verifier that repeatedly wrote reward 1 without running tests.
 - **4. Rule-based checks: Missing changed, 1 archived.** Restored 3 truncated instructions and repaired timestamps in 9 tasks. The unique changed-task total across these repairs and path edits is missing. Archived 1 task whose version-only grading accepted a fake YAML module. Flagged 136 kept tasks for relative paths. The automatic resolver changed 71 tasks; warning-cleared and remaining-warning counts are missing. Inspected a random sample of 50, and all warnings were harmless.
 
-Git-history and timestamp leak checks were not run. One task has an unresolved possible shared-port collision.
+Git-history and timestamp leak checks have not covered these tasks yet. The check searched only the working directory and fixed repository folders (`/testbed`, `/workspace`, `/app`, `/repo`, `/code`), not home directories, where Endless keeps its files (`/home/user`); in the Qwen3.8-27B run it returned no result for any task. The check now also searches `/home`; a rerun is pending. One task has an unresolved possible shared-port collision.
 
 ## Per-task resource requirements
 

endless_v3/README.md

@@ -0,0 +1,92 @@
+# EndlessTerminals v3
+
+## Dataset stats
+
+- **v1 tasks:** 2,144
+- **Kept:** 2,079 (1,958 from v2 plus 121 newly solved by Qwen3.8-27B)
+- **Excluded:** 65 (no recorded success from any of the three models)
+- **New evaluation:** the 186 tasks excluded from v2 (183 unsolved, 3 never attempted), 2 attempts each, 372 attempts
+- **New saved trajectories:** 372, successful and failed
+
+`tasks.parquet` keeps every v2 task and adds the newly solved tasks with their unchanged v1 payloads (the evaluated content hashes match). Excluded payloads are in [archive.parquet](archive.parquet).
+
+## 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 |
+| --- | ---: | ---: | --- | --- | --- |
+| openai/qwen38-27b | 32768 | 8192 | `llm_call_kwargs.max_tokens` = 8192 in all 372 saved trial configs; 37 pilot request payloads checked | on | {"min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "temperature": 1.0, "top_k": 20, "top_p": 0.95} |
+
+Configured limits are not measurements of token usage. Agent and verifier time limits are 300 s each for every evaluated task. Unlike the v2 runs, this run forwards the output cap to each request; the earlier attempt at this run (job 1065977) did not and was cancelled before it produced results.
+
+Settings and evidence: [audit](metadata/evaluation-settings-audit.json), [pilot contract](metadata/pilot-contract.json), [full contract](metadata/full-contract.json).
+
+## Evaluation results
+
+| Model | Tasks evaluated | Attempts | Tasks solved at least once | Pass@1 | Pass@2 |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| Qwen3.8-27B (thinking) | 186 | 372 | 121 | 57.80% | 65.05% |
+
+These results cover only the new evaluation of the tasks v2 excluded; earlier results are in [v2](../endless_v2/README.md). Four tasks ran in the pilot (job 1085307) and 182 in the full run (job 1090703) with the same model, sampling and limits.
+
+### Successful attempts in the new evaluation
+
+| Successful attempts | Tasks |
+| --- | ---: |
+| 0/2 | 65 |
+| 1/2 | 27 |
+| 2/2 | 94 |
+
+![Qwen3.8-27B success distribution](trace_stats/plots/qwen38-success-counts.png)
+
+## Select tasks by successful-attempt count
+
+The Parquet preserves the v2 columns (`instruct_successes`, `coder_successes` and their attempt counts) and adds `qwen38_successes`, `qwen38_attempts`, `qwen38_target_attempts` and `kept_from_v2`. For the 1,958 v2 tasks, `qwen38_attempts` is 0 and `qwen38_successes` is null.
+
+```python
+import pyarrow.parquet as pq
+
+# Newly evaluated tasks solved exactly once.
+subset = pq.read_table("tasks.parquet", filters=[("qwen38_successes", "=", 1)])
+# Every task already kept in v2.
+v2_tasks = pq.read_table("tasks.parquet", filters=[("kept_from_v2", "=", True)])
+```
+
+[Selection metadata](metadata/selection.json) records membership for all 2,144 tasks, the v2 entry of each, and stage-1 evidence for the 186 evaluated tasks. [pass_counts.parquet](pass_counts.parquet) adds the Qwen3.8-27B rows and a `retained_v3` column to the v2 counts.
+
+## Traces
+
+`traces/` holds all 25,692 v2 attempts (`attempts.parquet`) and the 372 new attempts (`qwen38-attempts.parquet`), successful and failed, in one schema. `evaluation_version` separates v2 from v3, `retained_v2` and `retained_v3` record membership, and `exceptions` lists recorded errors of the new attempts.
+
+```python
+import json
+import pyarrow.dataset as ds
+
+traces = ds.dataset("traces", format="parquet", exclude_invalid_files=True)
+new = traces.to_table(filter=ds.field("evaluation_version") == "v3")
+conversation = json.loads(new["trajectory"][0].as_py())
+```
+
+All 372 new attempts have saved conversations and a verifier reward. 49 attempts hit the 300 s agent timeout; 11 of them still passed the verifier. No other errors were recorded. Traces are included without quality filtering.
+
+[Trace statistics](trace_stats/README.md) cover only the new evaluation.
+
+## Limitations
+
+- **Network:** isolation was requested, but every job fell back to host networking because the nodes had reached their network-namespace limit. Agents could have reached the network.
+- **Instruction-path check:** for 3 of the 4 pilot tasks, the stage-1 path check searched folders that do not exist in these images and returned no result. All other stage-1 checks passed for them.
+- **Stage-1 static checks:** 1 evaluated task failed `check-nproc`; it was not solved and stays excluded.
+- **Repository-leak checks:** not yet applied to these tasks; see [v1](../endless_v1/README.md).
+
+## Runtime
+
+- **Versions:** Apptainer **1.5.4**, Python **3.12.14**, Harbor **0.8.1**.
+- **Implementation:** [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) and [runtime patches](https://github.com/MLI-lab/OT-next-data/tree/main/harbor_patches).
+- **Resources:** one H200 and 32 CPUs per job, 4 concurrent trials per GPU, 16 full-run shards with up to 8 running at once; each shard took 23 to 30 minutes.
+
+| Model | Mean time per attempt | Median time per attempt | Attempts measured |
+| --- | ---: | ---: | ---: |
+| Qwen3.8-27B | 186.65 s | 189.12 s | 372 |
+
+`patch.py` rebuilds `tasks.parquet` and `archive.parquet` from the pinned v2 Parquets and the published selection metadata.

endless_v3/archive.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9aaee0edf3f3e8c4753842103a64b81911f811b34c5d0e93fd3e038831c1763e
+size 1345229

endless_v3/metadata/evaluation-settings-audit.json

@@ -0,0 +1,17 @@
+{
+  "model": "Qwen/Qwen3.8-27B",
+  "served_as": "openai/qwen38-27b",
+  "weights_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
+  "agent": "terminus-2",
+  "attempts_per_task": 2,
+  "context_tokens": 32768,
+  "intended_output_tokens_per_call": 8192,
+  "output_limit_evidence": "llm_call_kwargs.max_tokens = 8192 in all 372 saved trial configurations; the pilot's 37 saved request payloads carry max_tokens 8192 (pilot-request-cap-verification.json)",
+  "thinking": true,
+  "sampling": {"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0},
+  "agent_timeout_sec": 300,
+  "verifier_timeout_sec": 300,
+  "concurrency_per_gpu": 4,
+  "contracts": {"pilot (job 1085307)": "pilot-contract.json", "full (job 1090703)": "full-contract.json"},
+  "network": "isolated requested; all 17 jobs fell back to host networking (network namespace limit reached on the nodes)"
+}

endless_v3/metadata/full-contract.json

@@ -0,0 +1,1945 @@
+{
+  "schema_version": 3,
+  "stage_layout": "environment-first-v2",
+  "created_at": "2026-10-20T19:10:28.767746+00:00",
+  "dataset": {
+    "source": "FWeindel/validated-tasks/endless_v1",
+    "reference_solutions": null,
+    "instruction_suffixes": null,
+    "revision": "3abfc63260ef8ab59ac61274450310f650585bc9",
+    "automation_changes": {},
+    "source_files": [
+      {
+        "path": "/hnvme/workspace/y500bb12-optiagent/endless-qwen38-pass2-20261018/full-tasks.parquet",
+        "sha256": "e85dadf9df39a69dc3184f213a5358c008524237dcbbae0932c99af4bed96d67"
+      }
+    ],
+    "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": [
+    1,
+    6,
+    7
+  ],
+  "success_criteria": {
+    "minimum_tasks": 182,
+    "oracle_reward": 1,
+    "nop_reward": 0,
+    "reward_key": "reward",
+    "attempts": 2,
+    "static_checks": [
+      "check-compose-host-binds.sh",
+      "check-dockerfile-platform.sh",
+      "check-dockerfile-sanity.sh",
+      "check-nproc.sh",
+      "check-pip-pinning.sh",
+      "check-resource-sizes.sh",
+      "check-task-timeout.sh",
+      "check-task-toml-schema.py",
+      "check-trial-network-fetch.sh",
+      "check-verifier-tooling-baked.sh"
+    ],
+    "static_checks_by_stage": {
+      "1": [
+        "check-compose-host-binds.sh",
+        "check-dockerfile-platform.sh",
+        "check-dockerfile-sanity.sh",
+        "check-nproc.sh",
+        "check-pip-pinning.sh",
+        "check-resource-sizes.sh",
+        "check-task-timeout.sh",
+        "check-task-toml-schema.py",
+        "check-trial-network-fetch.sh",
+        "check-verifier-tooling-baked.sh"
+      ]
+    },
+    "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": [
+      "/root"
+    ],
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+        "use_responses_api": false,
+        "llm_backend": "litellm",
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+        "batch_turn_execs": true,
+        "batch_exec_timeout_margin_sec": 180.0,
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+      "defaults_resolved": true,
+      "source_sha256": {
+        "terminus_2.py": "256df8b60461c9326468f843e5c3a0f483d03b473a47d6b5a1d442ab0b6d48cd",
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+        "terminus_xml_plain_parser.py": "11ff85d848d4ada5874644b5113b08dbcc53de81deb6ba4e014ca6fce92435fa",
+        "templates/terminus-json-plain.txt": "89a3dc3a15752b748a99fb907c9251ab31a464e13386583fb48476b078b54a34",
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+        "templates/timeout.txt": "32bf9aa7b157a6a0e0ba0d33b81e59dd67204276f158afc1fe6cb684ced68872"
+      }
+    },
+    "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": "helma6",
+    "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,
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+      "verifier_review": null,
+      "max_seconds": null,
+      "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_memory_mb": null,
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+    "review_seed": 42,
+    "review_evidence": "image",
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+    "review_defaults_source": null,
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endless_v3/metadata/pilot-contract.json

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+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_44510e43__CJMkDfG/attempts/000/agent/episode-4/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 1003
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_44510e43__CJMkDfG/attempts/000/agent/episode-5/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 495
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_44510e43__CJMkDfG/attempts/000/agent/episode-6/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 493
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__MjEE4JN/attempts/000/agent/episode-0/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 754
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__MjEE4JN/attempts/000/agent/episode-1/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 2481
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__MjEE4JN/attempts/000/agent/episode-2/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 1347
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__MjEE4JN/attempts/000/agent/episode-3/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 640
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__MjEE4JN/attempts/000/agent/episode-4/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 465
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__MjEE4JN/attempts/000/agent/episode-5/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 411
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__i78XmZ6/attempts/000/agent/episode-0/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 143
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__i78XmZ6/attempts/000/agent/episode-1/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 4825
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__i78XmZ6/attempts/000/agent/episode-2/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 740
+  },
+  {
+    "path": "results/stage_6_agent_trials/eccca4835011/jobs/job/task_000000_511d89d4__i78XmZ6/attempts/000/agent/episode-3/debug.json",
+    "max_tokens": 8192,
+    "completion_tokens": 549
+  }
+]

endless_v3/metadata/results.json

@@ -0,0 +1,50 @@
+{
+  "previous_revision": "18423d0c086b22fca073d89d67371bd9ffd3a7b1",
+  "source_folder": "endless_v1",
+  "source_revision": "3abfc63260ef8ab59ac61274450310f650585bc9",
+  "new_model": "Qwen/Qwen3.8-27B",
+  "attempts": 2,
+  "evaluated": 186,
+  "v2_kept": 1958,
+  "newly_solved": 121,
+  "kept": 2079,
+  "reward_policy": "terminal-errors-zero-v2",
+  "source_tasks": 2144,
+  "excluded": 65,
+  "new_attempts": 372,
+  "saved_trajectories": 372,
+  "solved_attempts": 215,
+  "null_verifier_rewards": 0,
+  "success_distribution": {
+    "0/2": 65,
+    "1/2": 27,
+    "2/2": 94
+  },
+  "previously_zero_success": 183,
+  "previously_no_attempt": 3,
+  "exceptions": {
+    "AgentTimeoutError": 49
+  },
+  "timeouts_still_solved": 11,
+  "runs": {
+    "pilot": {
+      "job": "1085307",
+      "tasks": 4
+    },
+    "full": {
+      "job": "1090703",
+      "tasks": 182
+    }
+  },
+  "stage1_failed": [
+    "task_000000_90f9a729"
+  ],
+  "path_recovery_incomplete": [
+    "task_000000_0497c08a",
+    "task_000000_44510e43",
+    "task_000000_511d89d4"
+  ],
+  "network_effective": {
+    "host": 17
+  }
+}

endless_v3/metadata/trace-audit.json

@@ -0,0 +1,94 @@
+{
+ "shards": {
+  "pilot-1085307": {
+   "tasks": 4,
+   "attempts": 8,
+   "report_complete": true
+  },
+  "full-1090703-0000": {
+   "tasks": 12,
+   "attempts": 24,
+   "report_complete": true
+  },
+  "full-1090703-0001": {
+   "tasks": 12,
+   "attempts": 24,
+   "report_complete": true
+  },
+  "full-1090703-0002": {
+   "tasks": 12,
+   "attempts": 24,
+   "report_complete": true
+  },
+  "full-1090703-0003": {
+   "tasks": 12,
+   "attempts": 24,
+   "report_complete": true
+  },
+  "full-1090703-0004": {
+   "tasks": 12,
+   "attempts": 24,
+   "report_complete": true
+  },
+  "full-1090703-0005": {
+   "tasks": 12,
+   "attempts": 24,
+   "report_complete": true
+  },
+  "full-1090703-0006": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0007": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0008": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0009": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0010": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0011": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0012": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0013": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0014": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  },
+  "full-1090703-0015": {
+   "tasks": 11,
+   "attempts": 22,
+   "report_complete": true
+  }
+ },
+ "model": "Qwen/Qwen3.8-27B",
+ "tasks": 186,
+ "attempts": 372,
+ "saved_trajectories": 372,
+ "null_verifier_rewards": 0
+}

endless_v3/pass_counts.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09fdedb39b16c28291d83485ab85717c3d12c8e2da7b66392065eabbc0d479ab
+size 100778

endless_v3/patch.py

@@ -0,0 +1,73 @@
+"""Rebuild Endless v3 tasks.parquet and archive.parquet from pinned v2 Parquets and metadata/selection.json.
+
+pip install pyarrow huggingface_hub
+python patch.py --out rebuilt
+Optional --source-dir holds v2 tasks.parquet and archive.parquet for offline reproduction.
+"""
+import argparse, json
+from pathlib import Path
+import pyarrow as pa
+import pyarrow.parquet as pq
+
+
+def build(out, source_dir=None):
+    m = json.loads((Path(__file__).parent / 'metadata/selection.json').read_text())
+
+    def source(name):
+        if source_dir:
+            return source_dir / name
+        from huggingface_hub import hf_hub_download
+        return Path(hf_hub_download(m['repo_id'], f'endless_v2/{name}', repo_type='dataset',
+                                    revision=m['v2_revision'], cache_dir=out / '.source-cache'))
+    out.mkdir(parents=True, exist_ok=True)
+    assert not any((out / n).exists() for n in ['tasks.parquet', 'archive.parquet'])
+    old, arch = pq.read_table(source('tasks.parquet')), pq.read_table(source('archive.parquet'))
+    extra = [pa.field('qwen38_attempts', pa.int64()), pa.field('qwen38_successes', pa.int64()),
+             pa.field('qwen38_target_attempts', pa.int64()), pa.field('kept_from_v2', pa.bool_())]
+    kept, excluded = [], []
+    for r in old.to_pylist():
+        assert m['tasks'][r['path']]['kept_from_v2']
+        kept.append({**r, 'qwen38_attempts': 0, 'qwen38_successes': None, 'qwen38_target_attempts': None, 'kept_from_v2': True})
+    for r in arch.to_pylist():
+        e = m['tasks'][r['path']]
+        assert r['content_sha256'] == e['qwen38_evaluated_content_sha256']
+        r.update(qwen38_attempts=e['qwen38_attempts'], qwen38_successes=e['qwen38_successes'],
+                 qwen38_target_attempts=m['attempts'], kept_from_v2=False)
+        if e['kept']:
+            r.update(archive_stage=None, archive_reason=None, archive_labels=[])
+            kept.append(r)
+        else:
+            r.update(archive_reason='zero_success_three_models', archive_labels=['zero_success_three_models'])
+            excluded.append(r)
+
+    def images(rows):
+        merged = json.loads(old.schema.metadata[b'ot.images.v1'])
+        other = json.loads(arch.schema.metadata[b'ot.images.v1'])
+        merged['tasks'].update(other['tasks'])
+        merged['bundles'].update(other['bundles'])
+        names = {r['path'] for r in rows}
+        merged['tasks'] = {t: e for t, e in merged['tasks'].items() if t in names}
+        used = {e['bundle'] for t in merged['tasks'].values() for e in t['environments']}
+        merged['bundles'] = {k: v for k, v in merged['bundles'].items() if k in used}
+        if 'uncached_task_ids' in merged:
+            merged['uncached_task_ids'] = sorted(names - set(merged['tasks']))
+        merged['coverage'] = {'cached_tasks': len(merged['tasks']), 'total_tasks': len(names)}
+        return json.dumps(merged).encode()
+    s = m['summary']
+    release = json.dumps({k: s[k] for k in ['previous_revision', 'source_folder', 'source_revision', 'new_model', 'attempts',
+                                            'evaluated', 'v2_kept', 'newly_solved', 'kept', 'reward_policy']}).encode()
+    for name, table, rows in [('tasks.parquet', old, kept), ('archive.parquet', arch, excluded)]:
+        schema = pa.schema([*table.schema, *extra])
+        pq.write_table(pa.Table.from_pylist(sorted(rows, key=lambda r: r['path']), schema=schema)
+                       .replace_schema_metadata({b'ot.images.v1': images(rows), b'ot.release.v3': release}),
+                       out / name, compression='zstd')
+    assert len(kept) == s['kept'] and len(excluded) == s['excluded']
+    print(json.dumps({'kept': len(kept), 'excluded': len(excluded)}))
+
+
+if __name__ == '__main__':
+    p = argparse.ArgumentParser(description=__doc__)
+    p.add_argument('--out', type=Path, required=True)
+    p.add_argument('--source-dir', type=Path)
+    a = p.parse_args()
+    build(a.out, a.source_dir)

endless_v3/tasks.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87c0d05e275ee10609045f58db2409f7f97ad6c1187804ecf11cf216dced4932
+size 30533682

endless_v3/trace_stats/README.md

@@ -0,0 +1,49 @@
+# Trajectory statistics
+
+372 attempts across 186 tasks of Endless Terminals v3, Qwen3.8-27B evaluation, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
+
+| Metric | qwen3.8-27b |
+| --- | ---: |
+| Recorded attempts | 372 |
+| Median agent turns | 4 |
+| Median input tokens per attempt | 12,998 |
+| Median output tokens per attempt | 9,777 |
+| Median agent runtime (seconds) | 174 |
+| Median verifier runtime (seconds) | 7 |
+
+Medians use recorded measurements only. This page covers the new v3 evaluation; [v2 statistics](../../endless_v2/trace_stats/README.md) cover the historical traces.
+
+## 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: [qwen3.8-27b](plots/qwen3.8-27b-trace-commands.png), [qwen3.8-27b](plots/qwen3.8-27b-trace-distributions.png), [qwen3.8-27b](plots/qwen3.8-27b-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: 0. 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.
+
+## 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 |
+| --- | ---: | ---: | --- | --- | --- |
+| openai/qwen38-27b | 32768 | 8192 | `llm_call_kwargs.max_tokens` = 8192 in all 372 saved trial configs; 37 pilot request payloads checked | on | {"min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "temperature": 1.0, "top_k": 20, "top_p": 0.95} |
+
+Configured limits are not measurements of token usage. Agent and verifier time limits are 300 s each for every evaluated task. Unlike the v2 runs, this run forwards the output cap to each request; the earlier attempt at this run (job 1065977) did not and was cancelled before it produced results.
+
+Settings and evidence: [audit](../metadata/evaluation-settings-audit.json).

endless_v3/trace_stats/data/per_attempt.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a55a7c31058465c07f3f51142f5a67ceeb163666fb05a955141b653c57c17a8e
+size 72136

endless_v3/trace_stats/data/per_task.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4d9c485c3f4e0cb60e38682d100e056b92297f69b7f77db3aecce7525a668422
+size 73756

endless_v3/trace_stats/data/provenance.json

@@ -0,0 +1,33 @@
+{
+ "deduplication_key": [
+  "model",
+  "task_id",
+  "attempt_id"
+ ],
+ "sources": [
+  {
+   "file": "traces/qwen38-attempts.parquet",
+   "rows": 372,
+   "unique_rows_added": 372,
+   "sha256": "715dce90c67bc05a70bee047beb737c14f8f382e835f37498d1b3aa6f6a4ccd2"
+  }
+ ],
+ "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"
+  },
+  "qwen3.8-27b": {
+   "trace_distributions": "plots/qwen3.8-27b-trace-distributions.png",
+   "trace_outcomes": "plots/qwen3.8-27b-trace-outcomes.png",
+   "trace_commands": "plots/qwen3.8-27b-trace-commands.png"
+  }
+ },
+ "metric_implementation_sha256": "ffa2ef63f6c84b193cd50503ece64f6819abc82b894c041ae9c7fb601ef33fe1",
+ "outcome_implementation_sha256": "570e8bdb6930588cb87b9f3728518cae549fd20da595808a2ecef7fed75dddc0",
+ "plotting": {
+  "implementation_sha256": "3e3bdc00f8b2100de4f96bdb48ce6fd87eff518a6bb380f9b07c3da352ad7db6"
+ },
+ "outcome_policy": "exclusive-outcomes-v1"
+}

endless_v3/trace_stats/data/summary.json

@@ -0,0 +1,507 @@
+{
+ "scope": "Only the new v3 Qwen3.8-27B evaluation; historical v2 traces excluded.",
+ "created_at": "2026-10-21T21:37:14.384963+00:00",
+ "input_rows": 372,
+ "duplicate_records_removed": 0,
+ "unique_attempts": 372,
+ "unique_tasks": 186,
+ "missing_trajectories": 0,
+ "null_verifier_rewards": 0,
+ "all_attempts": {
+  "trajectories": 372,
+  "graded": 372,
+  "solved": 215,
+  "turns": {
+   "n": 372,
+   "mean": 4.521505376344086,
+   "median": 4,
+   "p90": 7,
+   "p95": 8,
+   "max": 12
+  },
+  "input_tokens": {
+   "n": 372,
+   "mean": 15609.056451612903,
+   "median": 12998,
+   "p90": 30223,
+   "p95": 37809,
+   "max": 70146
+  },
+  "input_tokens_total": 5806569,
+  "output_tokens": {
+   "n": 372,
+   "mean": 9469.70430107527,
+   "median": 9777,
+   "p90": 16073,
+   "p95": 17044,
+   "max": 18717
+  },
+  "output_tokens_total": 3522730,
+  "peak_context_tokens": {
+   "n": 372,
+   "mean": 9285.666666666666,
+   "median": 9086,
+   "p90": 13907,
+   "p95": 16090,
+   "max": 24561
+  },
+  "peak_context_fraction": {
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+   "median": 0.27728271484375,
+   "p90": 0.424407958984375,
+   "p95": 0.49102783203125,
+   "max": 0.749542236328125
+  },
+  "trajectories_above_90_percent_context": 0,
+  "latency_seconds": {
+   "model_call": {
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+    "median": 9.809019088745117,
+    "p90": 52.75939965248108,
+    "p95": 80.87695026397705,
+    "max": 130.7758469581604
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+    "median": 174.451744,
+    "p90": 300.001689,
+    "p95": 300.007961,
+    "max": 303.050333
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+    "median": 7.28706,
+    "p90": 8.594213,
+    "p95": 9.10018,
+    "max": 16.045799
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+    "mean": 186.65260708602153,
+    "median": 189.123774,
+    "p90": 317.020726,
+    "p95": 319.4026,
+    "max": 326.538097
+   }
+  },
+  "tools": {
+   "bash_command": {
+    "calls": 4027,
+    "calls_per_trajectory": 10.825268817204302,
+    "failed": null,
+    "failure_rate": null
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+   "mark_task_complete": {
+    "calls": 691,
+    "calls_per_trajectory": 1.85752688172043,
+    "failed": null,
+    "failure_rate": null
+   }
+  },
+  "tool_steps": 1624,
+  "tool_steps_without_output": 0,
+  "tool_steps_with_error_text": 115,
+  "tool_steps_with_error_text_rate": 0.0708128078817734,
+  "terminations": {
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+   "task_timeout": 49
+  },
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