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bd884f27c1528dc05459cd2e86664f2bf4c213e30189362233b24668c2676de2  create_extra_figures.py
8f215b0d328d169cb2828685e64600ae6fae6a7a1b4cbf0102490e8bef66f488  figures/craft_core_module.pdf
ba9c8997cf1e569474773c0f46fff6350417978ae46e9344c5b0aed9afad313d  figures/craft_framework.pdf
64bada23b42f224ca3b376ca411604cda666693e5d528392592c84179d07a487  figures/fig01_attribute_benchmarks.pdf
abe1fc19eb37f70eabbaa9d1c7179e7bf04286cf41076adac2b05d3193b2cf9a  figures/fig02_crossdomain_transfer.pdf
ab39bf9de7f4751415d2face1809e111617f69fcb14a236fbe2c711bb1608f7f  figures/fig03_ordinal_agreement.pdf
0b0e1bad6916c6afdf13bdca31426157bb875f4bf3c72d6a6289a1694870d3e8  figures/fig04_reliability.pdf
08cc29a0172d61aaf2b051030e224a9c36845bff539b20ef210524b9dcf86d53  figures/fig05_selective_risk.pdf
c350771f3cd93b563b6f7add7f21b5f0582af85ddc21013a7bdcbc211dd1bd63  figures/fig06_counterfactual_edits.pdf
c336c6050c198b33ea36dc2fea6c880e8fa767967655a2cc489c6b312712b4a1  figures/fig07_evidence_localization.pdf
506dc29b8b09a1171fbc89aba5cde7e718ae60a4c7bbf1161d5670001db87380  figures/fig08_efficiency_pareto.pdf
d3114753d1a3487593b4005ab933d9c7d28ab293705b91b7f754898c2df5ad11  figures/fig09_storyboard_case.pdf
5d5489b243ce9d81195f59d2ba050c2158603eebf49de0aa07193fc5f73b9f14  figures/fig10_joint_vs_two_stage.pdf
030f69c249eaf060f7d1e69edf5f966413354d89f9b056bf58399d5d3363e12e  make_figures.py
4c40934e438ae009a1eb0b5a9322cce029fba6ca1af6e314c088c1957cee0c04  requirements.txt
b580ce37d074aa29ee0925641198ca817a74d97633af0382925872279cfebefd  tested_environment.txt
