{ "schema_version": 1, "bootstrap_samples": 20000, "bootstrap_seed": 20260817, "protocol": { "temperature": 0.6, "top_p": 0.95, "top_k": 20, "maximum_agent_turns": 20, "seed_base": 20260811, "per_question_seed": "seed_base + benchmark index", "generation_concurrency_per_gpu": 2, "judge_model": "gemini-3.1-pro-preview", "primary_denominator": "all 256 questions" }, "runs": { "v1.0.2_historical_base": { "results": "historical/v1.0.2/qwen3-8b/final_results.jsonl", "summary": "historical/v1.0.2/qwen3-8b/summary.json", "model_label": "Qwen/Qwen3-8B", "database_revision": "v1.0.2", "database_sha256": "7e5cd26ca7be16be1ff41962391478122624e48e5c6b3b91fb18fcccfbe2171e", "topology": "4 shards x 64 questions", "slurm_array": "2215_[0-3]", "classification": "published historical reference from v1.0.2" }, "v1.0.2_historical_rl_iter199": { "results": "historical/v1.0.2/browsecomp-rl-iter199/final_results.jsonl", "summary": "historical/v1.0.2/browsecomp-rl-iter199/summary.json", "model_label": "Shangy/browsecomp-qwen3-8B-length-penalty-iter199", "database_revision": "v1.0.2", "database_sha256": "7e5cd26ca7be16be1ff41962391478122624e48e5c6b3b91fb18fcccfbe2171e", "topology": "4 shards x 64 questions", "slurm_array": "2219_[0-3]", "classification": "published historical reference from v1.0.2" }, "v1.0.2_fresh_base": { "results": "controls/v1.0.2-fresh/qwen3-8b/final_results.jsonl", "summary": "controls/v1.0.2-fresh/qwen3-8b/summary.json", "model_label": "Qwen/Qwen3-8B", "database_revision": "v1.0.2", "database_sha256": "7e5cd26ca7be16be1ff41962391478122624e48e5c6b3b91fb18fcccfbe2171e", "topology": "4 shards x 64 questions", "slurm_array": "2289_[0-3]", "classification": "fresh old-database control for the robots repair" }, "v1.0.2_fresh_rl_iter199": { "results": "controls/v1.0.2-fresh/browsecomp-rl-iter199/final_results.jsonl", "summary": "controls/v1.0.2-fresh/browsecomp-rl-iter199/summary.json", "model_label": "Shangy/browsecomp-qwen3-8B-length-penalty-iter199", "database_revision": "v1.0.2", "database_sha256": "7e5cd26ca7be16be1ff41962391478122624e48e5c6b3b91fb18fcccfbe2171e", "topology": "4 shards x 64 questions", "slurm_array": "2290_[0-3]", "classification": "fresh old-database control for the robots repair" }, "v1.1.0_replica_8x32_base": { "results": "replicas/v1.1.0-8x32/qwen3-8b/final_results.jsonl", "summary": "replicas/v1.1.0-8x32/qwen3-8b/summary.json", "model_label": "Qwen/Qwen3-8B", "database_revision": "v1.1.0", "database_sha256": "09172388ed6c0ae91cb43dff3a663bcfb219673ed991ff5c9922904eb61ee77e", "topology": "8 shards x 32 questions", "slurm_array": "2379_[0-7]", "classification": "complete topology/scheduling replica; non-canonical" }, "v1.1.0_replica_8x32_rl_iter199": { "results": "replicas/v1.1.0-8x32/browsecomp-rl-iter199/final_results.jsonl", "summary": "replicas/v1.1.0-8x32/browsecomp-rl-iter199/summary.json", "model_label": "Shangy/browsecomp-qwen3-8B-length-penalty-iter199", "database_revision": "v1.1.0", "database_sha256": "09172388ed6c0ae91cb43dff3a663bcfb219673ed991ff5c9922904eb61ee77e", "topology": "8 shards x 32 questions", "slurm_array": "2380_[0-7]", "classification": "complete topology/scheduling replica; non-canonical" }, "v1.1.0_matched_base": { "results": "../../baselines/qwen3-8b/final_results.jsonl", "summary": "../../baselines/qwen3-8b/summary.json", "model_label": "Qwen/Qwen3-8B", "database_revision": "v1.1.0", "database_sha256": "09172388ed6c0ae91cb43dff3a663bcfb219673ed991ff5c9922904eb61ee77e", "topology": "4 shards x 64 questions", "slurm_array": "2395_[0-3]", "classification": "canonical v1.1.0 matched baseline" }, "v1.1.0_matched_rl_iter199": { "results": "../../baselines/browsecomp-rl-iter199/final_results.jsonl", "summary": "../../baselines/browsecomp-rl-iter199/summary.json", "model_label": "Shangy/browsecomp-qwen3-8B-length-penalty-iter199", "database_revision": "v1.1.0", "database_sha256": "09172388ed6c0ae91cb43dff3a663bcfb219673ed991ff5c9922904eb61ee77e", "topology": "4 shards x 64 questions", "slurm_array": "2396_[0-3]", "classification": "canonical v1.1.0 matched baseline" } }, "comparisons": [ { "name": "v1.0.2_repeatability_base", "left": "v1.0.2_historical_base", "right": "v1.0.2_fresh_base", "interpretation": "same model, database, protocol and nominal topology; estimates run/serving variance" }, { "name": "v1.0.2_repeatability_rl_iter199", "left": "v1.0.2_historical_rl_iter199", "right": "v1.0.2_fresh_rl_iter199", "interpretation": "same model, database, protocol and nominal topology; estimates run/serving variance" }, { "name": "robots_repair_matched_base", "left": "v1.0.2_fresh_base", "right": "v1.1.0_matched_base", "interpretation": "primary matched corpus-repair comparison for the base model" }, { "name": "robots_repair_matched_rl_iter199", "left": "v1.0.2_fresh_rl_iter199", "right": "v1.1.0_matched_rl_iter199", "interpretation": "primary matched corpus-repair comparison for the RL checkpoint" }, { "name": "v1.0.2_fresh_rl_gain", "left": "v1.0.2_fresh_base", "right": "v1.0.2_fresh_rl_iter199", "interpretation": "RL versus base on the fresh old-database controls" }, { "name": "v1.1.0_canonical_rl_gain", "left": "v1.1.0_matched_base", "right": "v1.1.0_matched_rl_iter199", "interpretation": "RL versus base on the repaired corpus; primary model comparison" }, { "name": "v1.1.0_replica_to_matched_base", "left": "v1.1.0_replica_8x32_base", "right": "v1.1.0_matched_base", "interpretation": "same corpus/model/protocol, different shard topology and serving schedule" }, { "name": "v1.1.0_replica_to_matched_rl_iter199", "left": "v1.1.0_replica_8x32_rl_iter199", "right": "v1.1.0_matched_rl_iter199", "interpretation": "same corpus/model/protocol, different shard topology and serving schedule" } ], "retrieval_stratification": { "source": "../original_question_top20_comparison.json", "comparisons": [ { "name": "robots_repair_matched_base", "left": "v1.0.2_fresh_base", "right": "v1.1.0_matched_base" }, { "name": "robots_repair_matched_rl_iter199", "left": "v1.0.2_fresh_rl_iter199", "right": "v1.1.0_matched_rl_iter199" } ] } }