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11 to 20 of 3,319 Results
descriptive_lib_2.json
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
JSON - 32.5 KB - MD5: 3e27560d2e929d47a19e38a7fd616f20
2. Resulting structural model given the descriptive input and library access
descriptive_lib_3.json
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
JSON - 23.5 KB - MD5: feeb374beca3159f31218656f4054599
3. Resulting structural model given the descriptive input and library access
descriptive_nolib_1.json
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
JSON - 17.9 KB - MD5: 50098c1640eb8f5bd65a8a4125f29d4c
1. Resulting structural model given the descriptive input and no library access
descriptive_nolib_2.json
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
JSON - 93.7 KB - MD5: ff6f983068368ed3a580b0df5c759ccd
2. Resulting structural model given the descriptive input and no library access
descriptive_nolib_3.json
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
JSON - 50.6 KB - MD5: 3a38499f04c7775059d47187d456f29c
3. Resulting structural model given the descriptive input and no library access
Euro_pallet.glb
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
3D Model - 2.8 MB - MD5: 38c77ec02affd60480739d8113e9933d
Euro_pallet.glb.meta
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
Unknown - 720 B - MD5: 7f91460b39d87b6e0073970048c2bb5e
evaluate_sim_results.py
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
Python Source Code - 18.2 KB - MD5: 01ff598165a123f69646ff361444f734
Evaluation method to calculate the given metrics (see results in evaluation.csv)
evaluation.tab
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
Tabular Data - 1.3 KB - 16 Variables, 12 Observations - UNF:6:gQEgeRIcOShS/5BvypUTnA==
raw evaluation data given the defined metrics (see chart.png for overall score)
Frontend.png
Frontend.png
May 21, 2026 - Replication Data for: A Retrieval-Augmented Generative Framework with Adaptive Libraries for Compositional Industrial Simulation Modeling
PNG Image - 212.8 KB - MD5: 3aab80eb602ffcbda8342d0eaccdd9ff
User interface used in this research
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