Стенд-проверка (stage-2) · промт оператора:

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented the mean-field rainbow router in an end-to-end shared relational GNN and evaluated it on eight paired seeds. Rainbow density increased as predicted, but the task-error improvement was not significant, so this is not a benchmark win.", "metrics": { "baseline": "mean test error 0.00390625; best lr=0.006, tau=0.5", "idea": "mean test error 0.00312500; best lr=0.006, tau=0.5, beta4=3.0", "delta_mean": -0.00078125, "p_value": 1.0, "idea_wins": 1, "n_pairs": 8 }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_rainbow.py", "files": [ "bench_rainbow.py", "bench_report.json" ], "limitations": "Used fixed eight-node relational graphs with a small 400/160 train/test split. Larger graphs, neighbor sampling, learned constrained beta/tau, citation or knowledge-graph data, and detailed wall-clock overhead were not tested.", "bench_report": { "bench_version": 1, "track": "relational_graph_classification", "model": "local_relational_gnn", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "tau": 0.5 }, "full": { "mean": 0.003906250058207661, "std": 0.004349815973278263, "per_seed": [ 0.0062500000931322575, 0.0, 0.0062500000931322575, 0.0062500000931322575, 0.0, 0.012500000186264515, 0.0, 0.0 ], "n": 8 }, "sweep": [ { "cfg": { "lr": 0.0015, "tau": 0.5 }, "mean": 0.0125 }, { "cfg": { "lr": 0.003, "tau": 0.5 }, "mean": 0.009375 }, { "cfg": { "lr": 0.006, "tau": 0.5 }, "mean": 0.0046875 } ] }, "idea": { "mean": 0.0031250000465661287, "std": 0.004419417448270373, "per_seed": [ 0.0062500000931322575, 0.0, 0.0062500000931322575, 0.0, 0.0, 0.012500000186264515, 0.0, 0.0 ], "n": 8 }, "comparison": { "delta_mean": -0.0007812500116415322, "idea_wins": 1, "n_pairs": 8, "p_value": 1.0, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "trained positive beta4 increases rainbow density while beta4=0 is unary", "observed_mean_density_change": 0.15861905947260094, "beta4_zero_max_change": 0.0, "confirmed": true }, "idea_sweep": [ { "cfg": { "lr": 0.006, "tau": 0.5, "beta4": 0.75 }, "mean": 0.003906250058207661 }, { "cfg": { "lr": 0.006, "tau": 0.5, "beta4": 1.5 }, "mean": 0.003906250058207661 }, { "cfg": { "lr": 0.006, "tau": 0.5, "beta4": 3.0 }, "mean": 0.0031250000465661287 } ], "protocol_note": "Used the existing structurally matched relational_graph_classification custom track and canonical train_model path." }, "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }