STDOUT · --STRATEGY AUTO · RTX 4090 The run’s printed report, verbatim from its captured log. Numbers at left are log lines; grey rows are folded keys; the accent marks where auto picks its route. $ /tmp/gtj-portfolio-venv/bin/python -I examples/similarity_graph.py \ --input /tmp/gtj-portfolio/data/existing/arxiv.npy --output \ /tmp/gtj-portfolio/evidence/graph-auto --rows 50000 --threshold .9 \ --backend cuda-prepared --strategy auto 1 { 2 "complete": true, 3 "status": "complete", 4 "edge_count": 340, 5 "backend": "cuda-prepared", 6 "threshold": 0.8999999761581421, 7 "selected_route": "dense", 8 "requested_strategy": "auto", 9–16 "input": {…}, 17 "timings": { 18 "load_seconds": 0.08314563427120447, 19 "setup_seconds": 0.550769898109138, 20 "query_and_sink_seconds": 0.09693738259375095, 21 "sink_seconds": 0.0005043670535087585, 22 "close_seconds": 0.0007050866261124611, 23 "total_seconds": 0.7319353045895696 24 }, 25–33 "settings": {…}, "timing_scope": …, "setup_scope": …, "numerical_contract": …, 34 "preparation_report": { 35 "method": "dense", 36 "strategy": "auto", 37 "expected_queries": 1, 38 "workspace_bytes": 536870912, 39 "dense_fallback_ratio": 0.01, 40 "selection_seconds": 0.0, 41 "selected_prepare_seconds": 0.3082024473696947, 42 "calibration_skipped": true, 43 "numerical_contract": "normalized-fp32-dot-experimental", 44 "total_prepare_seconds": 0.5478199105709791 45 }, 46–63 "query_report": {…}, 64 "edges_file": "edges.csv" 65 }