# reverse engineering

CADFather is an autonomous, training-free agent in which a vision-language assistant decides which candidate CAD program to extend, which tool to invoke, and how many proposals to sample, unifying learned proposal generation, geometry-based algorithmic proposals, and parameter optimization in one CadQuery representation, and achieving zero invalidity with higher mean IoU and GMS and lower median Chamfer distance on the full DeepCAD, Fusion360, and MCB test sets.

CADFather is an autonomous, training-free agent in which a vision-language assistant decides which candidate CAD program to extend, which tool to invoke, and how many proposals to sample, unifying learned proposal generation, geometry-based algorithmic proposals, and parameter optimization in one CadQuery representation, and achieving zero invalidity with higher mean IoU and GMS and lower median Chamfer distance on the full DeepCAD, Fusion360, and MCB test sets.

The study introduces PixelConfig, a differential-analysis framework that reverse-engineers Meta Pixel configurations through code-patching replays and developer-account controlled experiments, and uses Internet Archive's Wayback Machine to longitudinally compare configurations on 18K health websites against a top-10K control group from 2017 to 2024, finding that default-enabled tracking features such as automatic events and first-party cookies reached adoption rates up to 98.4%, that health websites show tracking of potentially sensitive information tied to booking medical appointments and button clicks associated with specific conditions such as erectile dysfunction, and that restriction features like Core Setup were configured on 34.3% of health websites versus 8.

The study introduces PixelConfig, a differential-analysis framework that reverse-engineers Meta Pixel configurations through code-patching replays and developer-account controlled experiments, and uses Internet Archive's Wayback Machine to longitudinally compare configurations on 18K health websites against a top-10K control group from 2017 to 2024, finding that default-enabled tracking features such as automatic events and first-party cookies reached adoption rates up to 98.4%, that health websites show tracking of potentially sensitive information tied to booking medical appointments and button clicks associated with specific conditions such as erectile dysfunction, and that restriction features like Core Setup were configured on 34.3% of health websites versus 8.