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"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"classification": "published historical reference from v1.0.2"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"classification": "published historical reference from v1.0.2"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"
}
]
}
}
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