SOURCE-LINKED INTELLIGENCE
Mitra-v2 Technical Report
We introduce Mitra-v2, a tabular foundation model that delivers state-of-the-art performance on real-world classification and regression problems, from credit-risk scoring and clinical prediction to equipment-failure detection and house-price estimation. Mitra-v2 is trained only on synthetic data, with a pretraining distribution that is much larger and more diverse than Mitra-v1's. Built on a small 2D Transformer backbone, Mitra-v2 supports longer contexts and larger feature spaces. Improved optimization lets it learn from this larger task distribution. We evaluate Mitra-v2 on the TabArena and
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T22:55:05.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.