Uniform forced-decision re-evaluation on 102 Tuebingen pairs shows a parameter-free sorted-conditional compression baseline at 74.7% weighted accuracy, tying methods in the low-to-mid 70s.
Identifying causal direction via dense func- tional classes.arXiv preprint arXiv:2509.00538
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RDMDL estimates cause-variable complexity using minimum rate for histogram-derived distortion via information dimension, combined with standard mechanism complexity, yielding competitive causal direction accuracy on Tübingen data.
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One Ruler: A Same-Hands Re-Evaluation of Bivariate Causal Direction on Tuebingen, with a Parameter-Free Compression Baseline
Uniform forced-decision re-evaluation on 102 Tuebingen pairs shows a parameter-free sorted-conditional compression baseline at 74.7% weighted accuracy, tying methods in the low-to-mid 70s.
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Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
RDMDL estimates cause-variable complexity using minimum rate for histogram-derived distortion via information dimension, combined with standard mechanism complexity, yielding competitive causal direction accuracy on Tübingen data.