Complete TermiGen v3: 2,507 kept tasks, all 2,118 Qwen3.8-27B pass@2 attempts

Add the 94 previously missing attempts (47 tasks, retry job 1096631): 14 newly solved, 33 excluded. Kept 2,277 v2 + 230 newly solved. Pass@2 21.72% over 1,059 tasks. Historical v2 traces unchanged except retained_v3 for the 14 newly kept tasks; trace statistics cover all new attempts.

termigen_v3/README.md

@@ -1,17 +1,15 @@
-# TermiGen v3 (partial)
+# TermiGen v3
 
 ## Dataset stats
 
-- **Kept:** 2,493 tasks.
-- **Carried forward from v2:** 2,277 tasks.
-- **Newly solved:** 216 tasks.
-- **New evaluation:** 1,059 previously unsolved tasks selected; 1,012 completed.
-- **Recorded attempts:** 2,024 of 2,118 planned.
-- **Saved conversations:** 2,024 for the new evaluation.
-- **Completed without a success:** 796 tasks.
-- **Pending:** 47 tasks, 94 attempts.
+- **v1 tasks:** 3,467 (pinned source revision `5f4179046b9f321b5d0f8b1c534eb6511299e39c`)
+- **Kept:** 2,507 (2,277 from v2 plus 230 newly solved by Qwen3.8-27B)
+- **Excluded:** 829 (evaluated, no success in v2 or in the new evaluation)
+- **Not evaluated:** 131 (outside the 3,336-task v2 evaluation)
+- **New evaluation:** 1,059 tasks unsolved in v2, 2 attempts each, 2,118 attempts
+- **New saved trajectories:** 2,118, successful and failed
 
-This partial release adds tasks solved by Qwen3.8-27B to [TermiGen v2](../termigen_v2/README.md). It preserves every v2 task and its recorded result columns. The selected cohort comes from the 3,336-task v2 evaluation. Another 131 tasks in the pinned 3,467-task v1 source are outside that cohort and are not added by this release.
+`tasks.parquet` keeps every v2 task and its recorded result columns, and adds the newly solved tasks with their unchanged v1 payloads (the evaluated content hashes match).
 
 ## Evaluation settings
 
@@ -19,38 +17,69 @@ Context is the total prompt plus response window for one model call. The respons
 
 | Model | Context tokens (configured) | Intended response tokens per call | Output-limit evidence | Thinking | Sampling |
 | --- | ---: | ---: | --- | --- | --- |
-| openai/qwen38-27b | 32768 | 8192 | No explicit request cap in sampled saved configs; actual fallback cap unknown | on | {"min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "temperature": 1.0, "top_k": 20, "top_p": 0.95} |
+| openai/qwen38-27b | 32768 | 8192 | Top-level `max_tokens` only in all 2,118 saved trial configs; not forwarded as `llm_call_kwargs.max_tokens`; actual fallback cap unknown | 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. 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.
+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.
 
-**Historical output-limit bug:** the intended per-response limit was stored as top-level `max_tokens`, but the affected Terminus path did not forward it as `llm_call_kwargs.max_tokens`. Thus these sampled runs did not request the intended explicit cap. Generation instead depended on the backend's fallback allowance, available context, stopping conditions and agent timeout. The exact fallback limit is not established by the saved configurations; it must not be reported as 8,192 or 16,384 enforced tokens, or as unlimited.
+**Historical output-limit bug:** the intended per-response limit was stored as top-level `max_tokens`, but the affected Terminus path did not forward it as `llm_call_kwargs.max_tokens`. Thus this run did not request the intended explicit cap. Generation instead depended on the backend's fallback allowance, available context, stopping conditions and agent timeout. The exact fallback limit is not established by the saved configurations; it must not be reported as 8,192 enforced tokens, or as unlimited. The current forwarding fix does not retroactively change these results.
 
-The table reports settings found in **3 sampled saved trial configurations**, not an exhaustive audit of every attempt or direct proof of server settings. Historical runs and retries may differ. Sampling values are recorded explicitly rather than inferred from today's model-card defaults. Agent and verifier wall-clock budgets remain task-specific; sampled resolved limits are in [settings and evidence](metadata/evaluation-settings-audit.json). Context is not the sum of tokens across all turns. The current forwarding fix does not retroactively change these pass@k results.
+All 2,118 saved trial configurations have the same model, sampling and limits. Agent and verifier time limits are task-specific and unchanged from v1. Settings and evidence: [audit](metadata/evaluation-settings-audit.json).
 
-## New evaluation
+## Evaluation results
 
-Qwen/Qwen3.8-27B in thinking mode, Terminus-2, two attempts per task. Temperature 1.0, top-p 0.95, top-k 20, context 32,768 tokens and intended output limit 8,192 tokens (see evaluation settings). Task CPU, memory and timeout limits are unchanged. Each H200 job uses 32 CPUs with up to four concurrent trials; the serving process has eight sequence slots.
+| Model | Tasks evaluated | Attempts | Tasks solved at least once | Pass@1 | Pass@2 |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| Qwen3.8-27B (thinking) | 1,059 | 2,118 | 230 | 18.04% | 21.72% |
 
-The new evaluation uses unchanged payloads from `termigen_v1` at revision `5f4179046b9f321b5d0f8b1c534eb6511299e39c`. Contracts and selection provenance are in [metadata](metadata/selection.json).
+These results cover only the new evaluation of the tasks v2 left unsolved; earlier results are in [v2](../termigen_v2/README.md).
 
-| Successful attempts | Completed tasks |
+### Successful attempts in the new evaluation
+
+| Successful attempts | Tasks |
 | --- | ---: |
-| 0/2 | 796 |
-| 1/2 | 74 |
-| 2/2 | 142 |
+| 0/2 | 829 |
+| 1/2 | 78 |
+| 2/2 | 152 |
+
+## Select tasks by successful-attempt count
+
+The Parquet preserves the v2 columns and adds `qwen38_attempts`, `qwen38_successes`, `qwen38_missing_attempts` and `qwen38_saved_traces`. For the 2,277 v2 tasks, `qwen38_attempts` is 0 and `qwen38_successes` is null.
+
+```python
+import pyarrow.parquet as pq
+
+# Newly solved tasks solved exactly once.
+subset = pq.read_table("tasks.parquet", filters=[("qwen38_successes", "=", 1)])
+```
+
+[Selection metadata](metadata/selection.json) records the status of all 3,467 v1 tasks, the v2 entry of each, and every new attempt.
+
+## Traces
+
+`traces/` preserves all 26,688 v2 attempts and adds the 2,118 new attempts (`qwen38-*.parquet`), successful and failed, in one schema. `evaluation_version` separates v2 from v3, and `retained_v2` and `retained_v3` record membership. Raw `trajectory` and `result` JSON are included. The 64 missing historical conversations remain identified in v2 data.
+
+```python
+import json
+import pyarrow.dataset as ds
 
-Among the 1,012 completed tasks, 216 (21.34%) were solved at least once. The full selected cohort's pass@2 is pending because 47 tasks have no results. Missing attempts are not scored as failures.
+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())
+```
 
-Of the recorded attempts, 358 have verifier reward 1, 1,637 have verifier reward 0, and 29 have no verifier reward. The run's `terminal-errors-zero-v2` policy counts those 29 recorded terminal errors as zero while preserving their raw null rewards. All 2,024 have saved conversations.
+All 2,118 new attempts have saved conversations. 382 have verifier reward 1, 1,703 verifier reward 0, and 33 no verifier reward. 451 attempts hit the agent timeout; 35 of them still passed the verifier. The 33 attempts without a verifier reward ended in terminal errors (22 tmux protocol errors, 8 task memory-limit errors, 2 runtime errors, 1 verifier timeout); the run's `terminal-errors-zero-v2` policy counts them as zero while preserving their raw null rewards. Traces are included without quality filtering.
 
-## Tasks and traces
+[Trace statistics](trace_stats/README.md) cover only the new evaluation. See [v2 statistics](../termigen_v2/trace_stats/README.md) for earlier models.
 
-`tasks.parquet` contains the cumulative kept tasks. New columns are `qwen38_attempts`, `qwen38_successes`, `qwen38_missing_attempts` and `qwen38_saved_traces`. Carried-forward tasks outside the new evaluation have zero new attempts and a null new success count.
+## Limitations
 
-`traces/` preserves all 26,688 historical v2 attempts and adds 2,024 new attempts, including failed attempts and excluded tasks. `evaluation_version` identifies v2 versus v3; `retained_v2` preserves historical membership and `retained_v3` identifies current membership. Raw `trajectory` and `result` JSON are included. The 64 missing historical conversations remain identified in v2 data.
+- **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.
+- **Repository-leak checks:** the checks added on 2026-10-17 (leftover git history and file timestamps that could reveal the solution) have not been applied to these tasks.
 
-[Trace statistics](trace_stats/README.md) cover only the new Qwen3.8-27B evaluation. See [v2 statistics](../termigen_v2/trace_stats/README.md) for earlier models. [Trace audit](metadata/trace-audit.json) records the 47 pending tasks. Their 94 missing attempts were resubmitted as job `1085954` after all 47 images were checksum-verified in the Helma cache; see [retry metadata](metadata/retry-submission.json).
+## Runtime
 
-Not yet checked with the repository-leak checks added on 2026-10-17 (leftover git history and file timestamps that could reveal the solution).
+- **Versions:** Apptainer **1.5.4**, Python **3.12.14**, Harbor **0.8.1**, vLLM **0.30.0**.
+- **Implementation:** [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) with the recorded runtime patches.
+- **Resources:** one H200 and 32 CPUs per job, up to 4 concurrent trials per GPU, 8 sequence slots in the serving process. Task CPU, memory and timeout limits are unchanged.
 
-Runtime: Python 3.12.14, Harbor 0.8.1, vLLM 0.30.0, Apptainer 1.5.4. The new run uses [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) with the recorded runtime patches.
+`patch.py` rebuilds `tasks.parquet` from the pinned v1 and v2 Parquets and the published selection metadata.

termigen_v3/metadata/evaluation-settings-audit.json

@@ -1,140 +1,168 @@
 {
-  "schema_version": 1,
-  "audit_date": "2026-10-21",
-  "source_dataset_revision": "1ca849c2128cf9ba9090a11514378c3a8277977a",
-  "scope": "new v3 evaluation only",
-  "method": "Sample saved result.config from first and last row groups of first, middle and last trace files; one available result per model per selected row group. This is not an exhaustive attempt audit.",
-  "sampled_configs": 3,
-  "evaluation_settings": [
-    {
-      "model": "openai/qwen38-27b",
-      "agent": "terminus-2",
-      "context_tokens": 32768,
-      "intended_output_tokens_per_call": 8192,
-      "request_output_tokens": null,
-      "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
-      },
-      "output_limit_status": "No explicit request cap in sampled saved configs; actual fallback cap unknown"
+ "schema_version": 1,
+ "audit_date": "2026-10-21",
+ "source_dataset_revision": "1ca849c2128cf9ba9090a11514378c3a8277977a",
+ "scope": "new v3 evaluation only",
+ "method": "Sample saved result.config from first and last row groups of first, middle and last trace files; one available result per model per selected row group. This is not an exhaustive attempt audit.",
+ "sampled_configs": 3,
+ "evaluation_settings": [
+  {
+   "model": "openai/qwen38-27b",
+   "agent": "terminus-2",
+   "context_tokens": 32768,
+   "intended_output_tokens_per_call": 8192,
+   "request_output_tokens": null,
+   "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
+   },
+   "output_limit_status": "Top-level max_tokens only in all 2,118 saved trial configs; not forwarded as llm_call_kwargs.max_tokens; actual fallback cap unknown"
+  }
+ ],
+ "evidence": [
+  {
+   "trace_file": "termigen_v3/traces/qwen38-stage-6-0117c9666eea.parquet",
+   "row_group": 0,
+   "attempt_id": "b1885af3-3555-4fba-95d0-11e472c45948",
+   "model": "openai/qwen38-27b",
+   "agent_kwargs": {
+    "temperature": 1.0,
+    "extra_body": {
+     "top_p": 0.95,
+     "top_k": 20,
+     "min_p": 0.0,
+     "presence_penalty": 0.0,
+     "repetition_penalty": 1.0,
+     "chat_template_kwargs": {
+      "enable_thinking": true
+     }
+    },
+    "max_tokens": 8192,
+    "model_info": {
+     "max_input_tokens": 32768,
+     "input_cost_per_token": 0,
+     "output_cost_per_token": 0,
+     "max_output_tokens": 8192
     }
-  ],
-  "evidence": [
-    {
-      "trace_file": "termigen_v3/traces/qwen38-stage-6-0117c9666eea.parquet",
-      "row_group": 0,
-      "attempt_id": "b1885af3-3555-4fba-95d0-11e472c45948",
-      "model": "openai/qwen38-27b",
-      "agent_kwargs": {
-        "temperature": 1.0,
-        "extra_body": {
-          "top_p": 0.95,
-          "top_k": 20,
-          "min_p": 0.0,
-          "presence_penalty": 0.0,
-          "repetition_penalty": 1.0,
-          "chat_template_kwargs": {
-            "enable_thinking": true
-          }
-        },
-        "max_tokens": 8192,
-        "model_info": {
-          "max_input_tokens": 32768,
-          "input_cost_per_token": 0,
-          "output_cost_per_token": 0,
-          "max_output_tokens": 8192
-        }
-      },
-      "resolved_timeouts": {
-        "agent": 900.0,
-        "verifier": 240.0,
-        "agent_setup": 360.0,
-        "environment_build": 600.0,
-        "trial_attempt": null,
-        "trial_cleanup_grace": 30.0,
-        "steps": []
-      },
-      "agent_override_timeout_sec": null
+   },
+   "resolved_timeouts": {
+    "agent": 900.0,
+    "verifier": 240.0,
+    "agent_setup": 360.0,
+    "environment_build": 600.0,
+    "trial_attempt": null,
+    "trial_cleanup_grace": 30.0,
+    "steps": []
+   },
+   "agent_override_timeout_sec": null
+  },
+  {
+   "trace_file": "termigen_v3/traces/qwen38-stage-6-8aaf77ebdf81.parquet",
+   "row_group": 0,
+   "attempt_id": "962d505c-0e53-477d-bbdd-0f802e519bce",
+   "model": "openai/qwen38-27b",
+   "agent_kwargs": {
+    "temperature": 1.0,
+    "extra_body": {
+     "top_p": 0.95,
+     "top_k": 20,
+     "min_p": 0.0,
+     "presence_penalty": 0.0,
+     "repetition_penalty": 1.0,
+     "chat_template_kwargs": {
+      "enable_thinking": true
+     }
     },
-    {
-      "trace_file": "termigen_v3/traces/qwen38-stage-6-8aaf77ebdf81.parquet",
-      "row_group": 0,
-      "attempt_id": "962d505c-0e53-477d-bbdd-0f802e519bce",
-      "model": "openai/qwen38-27b",
-      "agent_kwargs": {
-        "temperature": 1.0,
-        "extra_body": {
-          "top_p": 0.95,
-          "top_k": 20,
-          "min_p": 0.0,
-          "presence_penalty": 0.0,
-          "repetition_penalty": 1.0,
-          "chat_template_kwargs": {
-            "enable_thinking": true
-          }
-        },
-        "max_tokens": 8192,
-        "model_info": {
-          "max_input_tokens": 32768,
-          "input_cost_per_token": 0,
-          "output_cost_per_token": 0,
-          "max_output_tokens": 8192
-        }
-      },
-      "resolved_timeouts": {
-        "agent": 900.0,
-        "verifier": 240.0,
-        "agent_setup": 360.0,
-        "environment_build": 600.0,
-        "trial_attempt": null,
-        "trial_cleanup_grace": 30.0,
-        "steps": []
-      },
-      "agent_override_timeout_sec": null
+    "max_tokens": 8192,
+    "model_info": {
+     "max_input_tokens": 32768,
+     "input_cost_per_token": 0,
+     "output_cost_per_token": 0,
+     "max_output_tokens": 8192
+    }
+   },
+   "resolved_timeouts": {
+    "agent": 900.0,
+    "verifier": 240.0,
+    "agent_setup": 360.0,
+    "environment_build": 600.0,
+    "trial_attempt": null,
+    "trial_cleanup_grace": 30.0,
+    "steps": []
+   },
+   "agent_override_timeout_sec": null
+  },
+  {
+   "trace_file": "termigen_v3/traces/qwen38-stage-6-ff33b40c20e7.parquet",
+   "row_group": 0,
+   "attempt_id": "712442fc-e5f3-4ad8-bee0-5fdcc119365b",
+   "model": "openai/qwen38-27b",
+   "agent_kwargs": {
+    "temperature": 1.0,
+    "extra_body": {
+     "top_p": 0.95,
+     "top_k": 20,
+     "min_p": 0.0,
+     "presence_penalty": 0.0,
+     "repetition_penalty": 1.0,
+     "chat_template_kwargs": {
+      "enable_thinking": true
+     }
     },
-    {
-      "trace_file": "termigen_v3/traces/qwen38-stage-6-ff33b40c20e7.parquet",
-      "row_group": 0,
-      "attempt_id": "712442fc-e5f3-4ad8-bee0-5fdcc119365b",
-      "model": "openai/qwen38-27b",
-      "agent_kwargs": {
-        "temperature": 1.0,
-        "extra_body": {
-          "top_p": 0.95,
-          "top_k": 20,
-          "min_p": 0.0,
-          "presence_penalty": 0.0,
-          "repetition_penalty": 1.0,
-          "chat_template_kwargs": {
-            "enable_thinking": true
-          }
-        },
-        "max_tokens": 8192,
-        "model_info": {
-          "max_input_tokens": 32768,
-          "input_cost_per_token": 0,
-          "output_cost_per_token": 0,
-          "max_output_tokens": 8192
-        }
-      },
-      "resolved_timeouts": {
-        "agent": 900.0,
-        "verifier": 240.0,
-        "agent_setup": 360.0,
-        "environment_build": 600.0,
-        "trial_attempt": null,
-        "trial_cleanup_grace": 30.0,
-        "steps": []
-      },
-      "agent_override_timeout_sec": null
+    "max_tokens": 8192,
+    "model_info": {
+     "max_input_tokens": 32768,
+     "input_cost_per_token": 0,
+     "output_cost_per_token": 0,
+     "max_output_tokens": 8192
+    }
+   },
+   "resolved_timeouts": {
+    "agent": 900.0,
+    "verifier": 240.0,
+    "agent_setup": 360.0,
+    "environment_build": 600.0,
+    "trial_attempt": null,
+    "trial_cleanup_grace": 30.0,
+    "steps": []
+   },
+   "agent_override_timeout_sec": null
+  }
+ ],
+ "actual_fallback_output_cap": null,
+ "findings": "Saved configurations use top-level max_tokens without llm_call_kwargs.max_tokens. The affected Terminus forwarding path does not send that top-level setting to the model API. No universal effective per-response token limit is established by this sample.",
+ "fixed_code": "config/models.py:serving_agent_kwargs forwards llm_call_kwargs.max_tokens; HTTP-request regression tests cover every current registry model; this does not change historical results.",
+ "exhaustive_check": {
+  "date": "2026-10-22",
+  "attempts_checked": 2118,
+  "scope": "result.config.agent of every Qwen3.8-27B attempt in traces/qwen38-*.parquet (original run 1065933 plus retry 1096631)",
+  "distinct_configurations": 1,
+  "configuration": {
+   "model": "openai/qwen38-27b",
+   "temperature": 1.0,
+   "extra_body": {
+    "top_p": 0.95,
+    "top_k": 20,
+    "min_p": 0.0,
+    "presence_penalty": 0.0,
+    "repetition_penalty": 1.0,
+    "chat_template_kwargs": {
+     "enable_thinking": true
     }
-  ],
-  "actual_fallback_output_cap": null,
-  "findings": "Saved configurations use top-level max_tokens without llm_call_kwargs.max_tokens. The affected Terminus forwarding path does not send that top-level setting to the model API. No universal effective per-response token limit is established by this sample.",
-  "fixed_code": "config/models.py:serving_agent_kwargs forwards llm_call_kwargs.max_tokens; HTTP-request regression tests cover every current registry model; this does not change historical results."
-}
+   },
+   "top_level_max_tokens": 8192,
+   "llm_call_kwargs": null,
+   "model_info": {
+    "max_input_tokens": 32768,
+    "max_output_tokens": 8192
+   }
+  },
+  "agent_override_timeout_sec": null,
+  "finding": "All attempts share the sampled settings; the intended 8,192-token cap is top-level max_tokens only and was not forwarded."
+ }
+}

termigen_v3/metadata/results.json

@@ -1,25 +1,29 @@
 {
   "tasks": 1059,
-  "recorded_attempts": 2024,
-  "saved_traces": 2024,
-  "retry_tasks": 47,
-  "retry_attempts": 94,
-  "no_trace_tasks": 47,
+  "recorded_attempts": 2118,
+  "saved_traces": 2118,
+  "retry_tasks": 0,
+  "retry_attempts": 0,
+  "no_trace_tasks": 0,
   "one_trace_tasks": 0,
-  "solved_tasks": 216,
+  "solved_tasks": 230,
   "v2_kept": 2277,
-  "newly_solved": 216,
-  "kept": 2493,
+  "newly_solved": 230,
+  "kept": 2507,
   "source_tasks": 3467,
-  "completed_unsolved": 796,
-  "pending_tasks": 47,
+  "completed_unsolved": 829,
+  "pending_tasks": 0,
   "success_distribution": {
-    "1": 74,
-    "0": 796,
-    "2": 142
+    "0": 829,
+    "1": 78,
+    "2": 152
   },
-  "partial": true,
-  "snapshot_utc": "2026-10-20T19:45:23.785127+00:00",
+  "partial": false,
+  "snapshot_utc": "2026-10-22T07:25:06.743619+00:00",
   "previous_evaluation_tasks": 3336,
-  "outside_previous_evaluation": 131
+  "outside_previous_evaluation": 131,
+  "retry_job": "1096631",
+  "retry_tasks_completed": 47,
+  "retry_attempts_completed": 94,
+  "retry_newly_solved": 14
 }

termigen_v3/metadata/retry-run-1096631.json

@@ -0,0 +1,664 @@
+{
+  "submission": {
+    "job_id": "1096631",
+    "command": [
+      "sbatch",
+      "--parsable",
+      "--job-name=termigen-q38-missing",
+      "--partition=h200",
+      "--nodes=1",
+      "--ntasks=1",
+      "--cpus-per-task=32",
+      "--time=08:00:00",
+      "--gres=gpu:h200:1",
+      "--signal=B:USR1@120",
+      "--output=/hnvme/workspace/y500bb12-optiagent/termigen-qwen38-missing-20261020/array/slurm-%A_%a.out",
+      "--array=0-3%4",
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termigen_v3/metadata/trace-audit.json

@@ -1,63 +1,15 @@
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+      "trajectory_found": true,
+      "reward": 0.0,
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+      "reward": 1.0,
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+      "attempt_id": "7fcccfbd-33bc-40b2-a037-a315199e7d6e",
+      "trajectory_found": true,
+      "reward": 1.0,
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+      "task": "bismark_methylation_extraction_hard",
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+      "trajectory_found": true,
+      "reward": 0.0,
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+      "trajectory_found": true,
+      "reward": 0.0,
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+    },
+    {
+      "task": "cuda_wmma_tensor_cores_medium",
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+      "trajectory_found": true,
+      "reward": 0.0,
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+      "trajectory_found": true,
+      "reward": 0.0,
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+    {
+      "task": "fastq_sequence_quality_filtering_hard",
+      "attempt_id": "2dd1296d-a6ab-4f5d-a17f-62a85e2b41c0",
+      "trajectory_found": true,
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+      "trajectory_found": true,
+      "reward": 0.0,
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+    {
+      "task": "go_binary_reverse_engineering_medium",
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+      "trajectory_found": true,
+      "reward": 0.0,
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+      "trajectory_found": true,
+      "reward": 1.0,
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+      "trajectory_found": true,
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+      "trajectory_found": true,
+      "reward": 0.0,
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+      "trajectory_found": true,
+      "reward": 0.0,
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+    {
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+      "attempt_id": "28124a9b-ed54-4df1-9134-d8489d5fc5c4",
+      "trajectory_found": true,
+      "reward": 1.0,
+      "verifier_reward": 1.0
+    },
+    {
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+      "attempt_id": "a5632fec-e3bd-42be-a753-825e919e1dfb",
+      "trajectory_found": true,
+      "reward": 0.0,
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+    },
+    {
+      "task": "podman_rootless_permission_denied_medium",
+      "attempt_id": "79f4c592-e789-41ed-a26d-6d1b83b9360f",
+      "trajectory_found": true,
+      "reward": 0,
+      "verifier_reward": null
+    },
+    {
+      "task": "podman_rootless_permission_denied_medium",
+      "attempt_id": "fd692174-1dc1-480f-a41b-b1e5e441e17b",
+      "trajectory_found": true,
+      "reward": 0.0,
+      "verifier_reward": 0.0
+    },
+    {
+      "task": "ray_autoscaler_aws_spot_instances_hard",
+      "attempt_id": "3a8284ef-b7b8-4dba-adb1-c5db65cc2eea",
+      "trajectory_found": true,
+      "reward": 1.0,
+      "verifier_reward": 1.0
+    },
+    {
+      "task": "ray_autoscaler_aws_spot_instances_hard",
+      "attempt_id": "8f2548f6-26bf-4650-8fdc-d646f636b5f0",
+      "trajectory_found": true,
+      "reward": 1.0,
+      "verifier_reward": 1.0
+    },
+    {
+      "task": "slurm_job_allocation_timeout_medium",
+      "attempt_id": "b0b61c04-b1cb-4194-ae31-964ee688eef3",
+      "trajectory_found": true,
+      "reward": 0.0,
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+    },
+    {
+      "task": "slurm_job_allocation_timeout_medium",
+      "attempt_id": "8dc9e355-ff87-4c51-934d-13eedbc8cc59",
+      "trajectory_found": true,
+      "reward": 0.0,
+      "verifier_reward": 0.0
+    },
+    {
+      "task": "territory_estimation_go_hard",
+      "attempt_id": "cbed5653-c561-4f57-9553-fd314f9c0b23",
+      "trajectory_found": true,
+      "reward": 1.0,
+      "verifier_reward": 1.0
+    },
+    {
+      "task": "territory_estimation_go_hard",
+      "attempt_id": "b8148ba9-981c-4783-8a87-6b149168cf5f",
+      "trajectory_found": true,
+      "reward": 1.0,
+      "verifier_reward": 1.0
     }
-  ]
+  ],
+  "completed_retry": {
+    "job": "1096631",
+    "tasks": {
+      "bigquery_nested_repeated_fields_hard": 2,
+      "bipartite_matching_hungarian_hard": 2,
+      "bishop_knight_checkmate_hard": 2,
+      "bismark_methylation_extraction_hard": 2,
+      "cuda_peer_to_peer_access_hard": 2,
+      "cuda_stream_capture_graph_update_hard": 2,
+      "cuda_thrust_reduce_performance_hard": 2,
+      "cuda_wmma_tensor_cores_medium": 2,
+      "fairness_constraint_training_hard": 2,
+      "false_sharing_prevention_hard": 2,
+      "fanout_exchange_rabbitmq_medium": 2,
+      "fastq_sequence_quality_filtering_hard": 2,
+      "glibc_version_compatibility_medium": 2,
+      "glmer_convergence_warnings_medium": 2,
+      "glmmtmb_zero_inflation_hard": 2,
+      "go_binary_reverse_engineering_medium": 2,
+      "jwt_asymmetric_key_validation_hard": 2,
+      "jwt_kid_injection_attack_hard": 2,
+      "jwt_token_expiration_refresh_hard": 2,
+      "jwt_token_validation_hard": 2,
+      "masked_language_modeling_hard": 2,
+      "masked_language_modeling_medium": 2,
+      "massif_heap_profiling_hard": 2,
+      "materialized_view_refresh_medium": 2,
+      "objdump_disassembly_missing_symbols_hard": 2,
+      "od_endianness_byte_order_medium": 2,
+      "od_interpreting_null_bytes_hard": 2,
+      "online_learning_sgd_hard": 2,
+      "pkill_pattern_matching_multiple_hard": 2,
+      "pkill_pattern_matching_multiple_medium": 2,
+      "plink_ld_pruning_parameters_medium": 2,
+      "podman_rootless_permission_denied_medium": 2,
+      "ray_actor_pool_concurrency_hard": 2,
+      "ray_air_tuner_hyperparameter_hard": 2,
+      "ray_air_tuner_hyperparameter_medium": 2,
+      "ray_autoscaler_aws_spot_instances_hard": 2,
+      "slurm_accounting_tres_limits_hard": 2,
+      "slurm_checkpoint_blcr_integration_medium": 2,
+      "slurm_gang_scheduling_timeslice_medium": 2,
+      "slurm_job_allocation_timeout_medium": 2,
+      "terraform_module_source_version_conflict_medium": 2,
+      "terraform_provider_version_constraint_medium": 2,
+      "terraform_state_secret_extraction_medium": 2,
+      "territory_estimation_go_hard": 2,
+      "zookeeper_leader_election_failure_hard": 2,
+      "zookeeper_watcher_node_medium": 2,
+      "zugzwang_position_detection_hard": 2
+    },
+    "note": "All 94 previously missing attempts recorded; pending list cleared."
+  }
 }

termigen_v3/patch.py

@@ -18,7 +18,7 @@ def build(selection, source, old):
         r.update({k:e[k] for k in ['qwen38_attempts','qwen38_successes','qwen38_missing_attempts','qwen38_saved_traces']});rows.append(r)
     schema=pa.schema([*old.schema,*(pa.field(k,pa.int64()) for k in ['qwen38_attempts','qwen38_successes','qwen38_missing_attempts','qwen38_saved_traces'])]);meta=dict(old.schema.metadata or {})
     images=json.loads(source.schema.metadata[b'ot.images.v1']);kept={r['path'] for r in rows};images['tasks']={t:e for t,e in images['tasks'].items() if t in kept};used={e['bundle'] for t in images['tasks'].values() for e in t['environments']};images['bundles']={k:v for k,v in images['bundles'].items() if k in used};meta[b'ot.images.v1']=json.dumps(images).encode()
-    meta[b'ot.release.v3']=json.dumps({'partial':True,'baseline_revision':selection['baseline_revision'],'source_revision':selection['source_revision'],'kept':len(rows),'new_model':'Qwen/Qwen3.8-27B','reward_policy':'terminal-errors-zero-v2'}).encode()
+    meta[b'ot.release.v3']=json.dumps({'partial':selection['summary']['partial'],'baseline_revision':selection['baseline_revision'],'source_revision':selection['source_revision'],'kept':len(rows),'new_model':'Qwen/Qwen3.8-27B','reward_policy':'terminal-errors-zero-v2'}).encode()
     return pa.Table.from_pylist(rows,schema=schema.with_metadata(meta))
 
 if __name__=='__main__':

termigen_v3/tasks.parquet

@@ -1,3 +1,3 @@
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-oid sha256:3338c26c459bdfb2e5c7f6097bbd0082f72bd7a5548c40edef3d816b884e3730
-size 210505840
+oid sha256:8fcf07b9b2c981a4d94f4aa12e85963058bdbfb90a2a79a3f0a23ccad32657be
+size 210819180

termigen_v3/trace_stats/README.md

@@ -1,14 +1,14 @@
 # Trajectory statistics
 
-2,024 attempts across 1,012 tasks of TermiGen v3, Qwen3.8-27B partial evaluation, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
+2,118 attempts across 1,059 tasks of TermiGen v3, Qwen3.8-27B evaluation, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
 
 | Metric | qwen38-27b |
 | --- | ---: |
-| Recorded attempts | 2,024 |
+| Recorded attempts | 2,118 |
 | Median agent turns | 8 |
-| Median input tokens per attempt | 55,508 |
-| Median output tokens per attempt | 16,714 |
-| Median agent runtime (seconds) | 330 |
+| Median input tokens per attempt | 55,973 |
+| Median output tokens per attempt | 16,981 |
+| Median agent runtime (seconds) | 335 |
 | Median verifier runtime (seconds) | 10 |
 
 Medians use recorded measurements only. This page covers the new v3 evaluation; [v2 statistics](../../termigen_v2/trace_stats/README.md) cover the historical traces.
@@ -31,7 +31,8 @@ Per-model plots: [qwen38-27b](plots/qwen38-27b-trace-commands.png), [qwen38-27b]
 - [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: 29. Their missing measurements stay empty.
+Attempts without a saved conversation: 0; without a verifier reward: 33. Their missing measurements stay empty.
+
 
 ## Evaluation settings
 
@@ -39,10 +40,10 @@ Context is the total prompt plus response window for one model call. The respons
 
 | Model | Context tokens (configured) | Intended response tokens per call | Output-limit evidence | Thinking | Sampling |
 | --- | ---: | ---: | --- | --- | --- |
-| openai/qwen38-27b | 32768 | 8192 | No explicit request cap in sampled saved configs; actual fallback cap unknown | on | {"min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "temperature": 1.0, "top_k": 20, "top_p": 0.95} |
+| openai/qwen38-27b | 32768 | 8192 | Top-level `max_tokens` only in all 2,118 saved trial configs; not forwarded as `llm_call_kwargs.max_tokens`; actual fallback cap unknown | 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. 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.
+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.
 
-**Historical output-limit bug:** the intended per-response limit was stored as top-level `max_tokens`, but the affected Terminus path did not forward it as `llm_call_kwargs.max_tokens`. Thus these sampled runs did not request the intended explicit cap. Generation instead depended on the backend's fallback allowance, available context, stopping conditions and agent timeout. The exact fallback limit is not established by the saved configurations; it must not be reported as 8,192 or 16,384 enforced tokens, or as unlimited.
+**Historical output-limit bug:** the intended per-response limit was stored as top-level `max_tokens`, but the affected Terminus path did not forward it as `llm_call_kwargs.max_tokens`. Generation instead depended on the backend's fallback allowance, available context, stopping conditions and agent timeout. The exact fallback limit is not established by the saved configurations; it must not be reported as 8,192 enforced tokens, or as unlimited. The current forwarding fix does not retroactively change these results.
 
-The table reports settings found in **3 sampled saved trial configurations**, not an exhaustive audit of every attempt or direct proof of server settings. Historical runs and retries may differ. Sampling values are recorded explicitly rather than inferred from today's model-card defaults. Agent and verifier wall-clock budgets remain task-specific; sampled resolved limits are in [settings and evidence](../metadata/evaluation-settings-audit.json). Context is not the sum of tokens across all turns. The current forwarding fix does not retroactively change these pass@k results.
+Agent and verifier time limits are task-specific; see [settings and evidence](../metadata/evaluation-settings-audit.json).

termigen_v3/trace_stats/data/per_attempt.parquet

@@ -1,3 +1,3 @@
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-oid sha256:f3500228b378e75a2a2f9a9d10149d24f757e96d3515eacdb9fd4cbce6687251
-size 384769
+oid sha256:5d12fd79a366134fff27fa2b074ab09424cf67dfc24aab8d31bf662c7fb129f7
+size 402624

termigen_v3/trace_stats/data/per_task.parquet

@@ -1,3 +1,3 @@
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-oid sha256:c82ed9be70b0e8bc90b21d7ed72ff6aa24a0511892f08e6d453429e5c301294f
-size 414582
+oid sha256:c82c118f9b4226101f7f93b2b49c10a1cc2c5a1511b1b24b6e4ace07adadb526
+size 439635

termigen_v3/trace_stats/data/provenance.json

@@ -5,6 +5,30 @@
   "attempt_id"
  ],
  "sources": [
+  {
+   "file": "traces/qwen38-retry-0000-stage-6-fc0262c7d05d.parquet",
+   "rows": 24,
+   "unique_rows_added": 24,
+   "sha256": "f7074f681340169264bee989994421a2a19f4af741d4c29c519cce6e2eeceb7d"
+  },
+  {
+   "file": "traces/qwen38-retry-0001-stage-6-e4262484f8e0.parquet",
+   "rows": 24,
+   "unique_rows_added": 24,
+   "sha256": "aa9d40a081e58262c11db89c0fdb09c998c81763530c508a96958b210e6a6033"
+  },
+  {
+   "file": "traces/qwen38-retry-0002-stage-6-408208c903cf.parquet",
+   "rows": 24,
+   "unique_rows_added": 24,
+   "sha256": "f251076766bfa2d54b7ae35f37dc86c1888e82ef15ecc3eb857c730ba6d2a19a"
+  },
+  {
+   "file": "traces/qwen38-retry-0003-stage-6-57952660be18.parquet",
+   "rows": 22,
+   "unique_rows_added": 22,
+   "sha256": "5e48b777e529f0cb7cff3dde7a2fab717da06dcb196894ad88f82b74c1d5613d"
+  },
   {
    "file": "traces/qwen38-stage-6-0117c9666eea.parquet",
    "rows": 24,

termigen_v3/trace_stats/data/summary.json

@@ -1,642 +1,654 @@
 {
  "scope": "Only the new v3 Qwen3.8-27B evaluation; historical v2 traces excluded.",
- "created_at": "2026-10-20T19:46:09.778197+00:00",
- "input_rows": 2024,
+ "created_at": "2026-10-22T07:25:32.309831+00:00",
+ "input_rows": 2118,
  "duplicate_records_removed": 0,
- "unique_attempts": 2024,
- "unique_tasks": 1012,
+ "unique_attempts": 2118,
+ "unique_tasks": 1059,
  "missing_trajectories": 0,
- "null_verifier_rewards": 29,
+ "null_verifier_rewards": 33,
  "all_attempts": {
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-  "graded": 2024,
-  "solved": 358,
+  "trajectories": 2118,
+  "graded": 2118,
+  "solved": 382,
   "turns": {
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