From Behavior to Provenance: Attributing Tabular Foundation Models to Synthetic Pretraining Data
arXiv:2610.02347v1 Announce Type: new Abstract: Training-data attribution aims to identify which training examples shape model behavior, yet validating such claims is difficult because causal training influence is rarely observable. We argue that controlled synthetic pretraining makes attribution e…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-05 04:00 · arXiv cs.LG
From Behavior to Provenance: Attributing Tabular Foundation Models to Synthetic Pretraining Data