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"literal_claim": "On ColorMNIST+ with noisy labels, targeted prototype-level interventions improve accuracy from 92.9% to 96.9% by removing prototypes and from 92.8% to 97.8% by editing prototypes (Table 3).",
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"result": "FALSIFIED: exact source-image support decoding identifies 6 corrupted prototypes; full-test concept accuracy changes from 0.9761 to 0.9759 after removal and 0.9756 after editing (affected-concept changes +0.0000/-0.0007).",
"scope_boundary": "The fresh numerical run is ColorMNIST+ at seed 42; cross-dataset numeric cells in claims 1 and 2 are additionally bound to the exact primary source table/configuration rather than presented as fresh CelebA or CLEVR-Hans training.",
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"result": "VERIFIED: 30/30 final learned-mask prototypes bind to the complete 54000-object training split by byte-exact masked-object or exact source-image-support provenance.",
"scope_boundary": "The fresh numerical run is ColorMNIST+ at seed 42; cross-dataset numeric cells in claims 1 and 2 are additionally bound to the exact primary source table/configuration rather than presented as fresh CelebA or CLEVR-Hans training.",
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"result": "FALSIFIED: across three fixed intervention orders, PGCM* concept AUC is 0.995330 versus CBM/CRM/CMR 0.995643/0.994621/0.994775; every curve covers 0 through 20 intervened concepts on all 5,000 test examples.",
"scope_boundary": "The fresh numerical run is ColorMNIST+ at seed 42; cross-dataset numeric cells in claims 1 and 2 are additionally bound to the exact primary source table/configuration rather than presented as fresh CelebA or CLEVR-Hans training.",
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